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Lipid‐based nutrient supplements for maternal, birth, and infant developmental outcomes

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Abstract

Background

Ready‐to‐use lipid‐based nutrient supplements (LNS) are a highly nutrient‐dense supplement, which could be a good source of macro‐ and micronutrients for pregnant women who need to supplement their nutrient intake.

Objectives

To assess the effects of LNS for maternal, birth and infant outcomes in pregnant women. Secondary objectives were to explore the most appropriate composition, frequency and duration of LNS administration.

Search methods

In May 2018, we searched CENTRAL, MEDLINE, Embase, 22 other databases and two trials registers for any published and ongoing studies. We also checked the reference lists of included studies and relevant reviews, and we contacted the authors of included studies and other experts in the field to identify any studies we may have missed, including any unpublished studies.

Selection criteria

We included randomised controlled trials (RCTs) and quasi‐RCTs that compared LNS given in pregnancy to no intervention, placebo, iron folic acid (IFA), multiple micronutrients (MMN) or nutritional counselling.

Data collection and analysis

We used standard Cochrane procedures.

Main results

We included four studies in 8018 pregnant women. All four studies took place in stable community settings in low‐ and middle‐income countries: Bangladesh, Burkina Faso, Ghana and Malawi. None were in emergency settings. The oldest trial was published in 2009. Of the four included studies, one compared LNS to IFA, one compared LNS to MMN, and two compared LNS to both IFA and MMN.

We considered the included studies to be of medium to high quality, and we rated the quality of the evidence as moderate using the GRADE approach.

LNS versus IFA

Maternal outcomes: there was no difference between the LNS and IFA groups as regards maternal gestational weight gain per week (standard mean difference (SMD) 0.46, 95% confidence interval (CI) −0.44 to 1.36; 2 studies, 3539 participants). One study (536 participants) showed a two‐fold increase in the prevalence of maternal anaemia in the LNS group compared to the IFA group, but no difference between the groups as regards adverse effects. There was no difference between the two groups for maternal mortality (risk ratio (RR) 0.53, 95% CI 0.12 to 2.41; 3 studies, 5628 participants).

Birth and infant outcomes: there was no difference between the LNS and IFA groups for low birth weight (LBW) (RR 0.87, 95% CI 0.72 to 1.05; 3 studies, 4826 participants), though newborns in the LNS group had a slightly higher mean birth weight (mean difference (MD) 53.28 g, 95% CI 28.22 to 78.33; 3 studies, 5077 participants) and birth length (cm) (MD 0.24 cm, 95% CI 0.11 to 0.36; 3 studies, 4986 participants). There was a reduction in the proportion of infants who were small for gestational age (SGA) (RR 0.94, 95% CI 0.89 to 0.99; 3 studies, 4823 participants) and had newborn stunting (RR 0.82, 95% CI 0.71 to 0.94; 2 studies, 4166 participants) in the LNS group, but no difference between the LNS and IFA groups for preterm delivery (RR 0.94, 95% CI 0.80 to 1.11; 4 studies, 4924 participants), stillbirth (RR 1.14; 95% CI 0.52 to 2.48; 3 studies, 5575 participants) or neonatal death (RR 0.96, 95% CI 0.14 to 6.51). The current evidence for child developmental outcomes is not sufficient to draw any firm conclusions.

LNS versus MMN

Maternal outcomes: one study (662 participants) showed no difference between the LNS and MMN groups as regards gestational weight gain per week or adverse effects. Another study (557 participants) showed an increased risk of maternal anaemia in the LNS group compared to the MMN group.

Birth and infant outcomes: there was no difference between the LNS and MMN groups for LBW (RR 0.92, 95% CI 0.74 to 1.14; 3 studies, 2404 participants), birth weight (MD 23.67 g, 95% CI −10.53 to 57.86; 3 studies, 2573 participants), birth length (MD 0.20 cm, 95% CI −0.02 to 0.42; 3 studies, 2567 participants), SGA (RR 0.95, 95% CI 0.84 to 1.07; 3 studies, 2393 participants), preterm delivery (RR 1.15, 95% CI 0.93 to 1.42; 3 studies, 2630 participants), head circumference z score (MD 0.10, 95% CI −0.01 to 0.21; 2 studies, 1549 participants) or neonatal death (RR 0.88, 95% CI 0.36 to 2.15; 1 study, 1175 participants).

Authors' conclusions

Findings from this review suggest that LNS supplementation has a slight, positive effect on weight at birth, length at birth, SGA and newborn stunting compared to IFA. LNS and MMN were comparable for all maternal, birth and infant outcomes. Both IFA and MMN were better at reducing maternal anaemia when compared to LNS. We did not find any trials for LNS given to pregnant women in emergency settings.

Readers should interpret the beneficial findings of the review with caution since the evidence comes from a small number of trials, with one‐large scale study (conducted in community settings in Bangladesh) driving most of the impact. In addition, effect sizes are too small to propose any concrete recommendation for practice.

PICOs

Population
Intervention
Comparison
Outcome

The PICO model is widely used and taught in evidence-based health care as a strategy for formulating questions and search strategies and for characterizing clinical studies or meta-analyses. PICO stands for four different potential components of a clinical question: Patient, Population or Problem; Intervention; Comparison; Outcome.

See more on using PICO in the Cochrane Handbook.

Effects of lipid‐based nutrient supplements (LNS) for women during pregnancy

Review question

Is giving lipid‐based nutrient supplements (LNS) to women during pregnancy good for mothers and their babies?

Background

Women's nutritional status before and during pregnancy plays a key role in fetal growth and development. It is important to address maternal undernourishment in order to improve maternal and child health. LNS aim to deliver nutrients to pregnant women and other vulnerable people, thereby providing a range of vitamins and minerals coupled with energy, protein and essential fatty acids.

Study characteristics

We found four studies with 8018 pregnant women. The oldest study was published in 2009. All studies took place in developing countries: three were in Africa (one apiece in Ghana, Malawi, and Burkina Faso), and one was in Asia (Bangladesh). All studies took place in a stable community setting; none were conducted in emergency settings. Of the four included studies, one compared LNS to iron folic acid (IFA), one compared LNS to multiple micronutrients (MMN), and two compared LNS to both IFA and MMN.

Key results

This review suggests that there may be a slight benefit of LNS on babies who are born small, and on newborn weight and length, when compared to IFA. LNS did not seem to give any additional benefit to women and newborns compared to MMN, and both IFA and MMN were better at reducing maternal anaemia than LNS. We did not find any studies on LNS for pregnant women in emergency settings.

Quality of evidence

Overall, the evidence is of moderate quality.

Currentness of evidence

The evidence is current to May 2018.

Authors' conclusions

Implications for practice

Findings from this review suggest that compared to IFA, LNS supplementation during pregnancy improves birth weight and birth length and reduces SGA and newborn stunting, but it does not impact on LBW, preterm birth, miscarriage, head circumference, underweight, neonatal death or infant mortality. These findings are consistent with evidence from MMN supplementation alone, which, when compared to IFA, reduces SGA and LBW (Haider 2015). All outcomes were between LNS and MMN, suggesting no additional benefits of LNS. Overall, findings suggest limited effect of LNS compared to IFA, but this effect diminishes when compared to MMN supplementation. Findings from this review should be interpreted with caution since the evidence comes from only a few studies, with one‐large scale study (conducted in community settings in Bangladesh) driving most of the impact. Furthermore, effect sizes are too small to propose any concrete recommendations for practice.

Existing evidence suggest that the magnitude of the effect of LNS is small and might differ depending on some potential, biologically plausible, effect modifiers, including household food insecurity, household assets, maternal age and height, sex of the child, and time of year at birth (Mridha 2016b). Futhermore, the findings from Adu‐Afarwuah 2015 show that compared to IFA and MMN, LNS in primiparous women improves birth length, birth weight, LBW and SGA; there was no evidence of an effect in multiparous women. These findings need further consideration and cautious evaluation. LNS may have a role in emergency settings, but this needs to be explored in future trials.

Implications for research

The results of our review provide a number of implications for future research. First, there are no existing data on the impact of LNS supplementation in emergency settings. Second, existing data on the impact of LNS on the neurodevelopmental outcomes are insufficient to draw firm conclusions. Future studies should standardise these outcome measures to enable pooling in meta‐analysis. In addition, future research should use a double‐blind approach along with a placebo product for the control group (where appropriate), and for interventions where blinding is not feasible, mask outcome assessors. There is a need to evaluate the preventive impact of LNS for longer durations of intervention and also late follow‐ups to capture the long‐term impact of nutrition interventions. Furthermore, the effect of LNS in vulnerable groups, including low socioeconomic groups, undernourished women, and other food insecure populations need to be explored further to identify potential effect modifications and interactions among these variables across population groups, and large‐scale studies would be required to address these in different countries and contexts.

There are no existing studies comparing LNS with nutritional counselling. Future research should focus on evaluating the relative effectiveness and cost‐effectiveness of using commercially available products versus nutrition education to promote homemade, energy‐dense food to prevent malnutrition.

Summary of findings

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Summary of findings for the main comparison. Summary of findings: lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA)

Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA)

Patient or population: pregnant women

Settings: community

Intervention: LNS

Comparison: IFA

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

Number of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

IFA

LNS

Gestational weight gain per week (from < 20 weeks gestation till the time of delivery)

0

The mean gestational weight gain per week in the intervention group was 0.46 standard deviations higher (0.44 lower to 1.36 higher)

3539 participants

(2 studies)

⊕⊕⊕⊝
Moderatea

Maternal anaemia at term or near term (haemoglobin (Hb) less than 110 g/L)

38/270

88/266

RR 2.35 (1.67 to 3.30)

536 participants (1 study)

⊕⊕⊕⊝
Moderatea

Maternal mortality (measured at six weeks postpartum)

6/3773

2/1855

RR 0.53 (0.12 to 2.41)

5628 participants

(3 studies)

⊕⊕⊕⊝
Moderatea

Low birth weight (< 2500 g)

1100/3241

396/1585

RR 0.87 (0.72 to 1.05)

4826 participants (3 studies)

⊕⊕⊕⊝
Moderatea

Length at birth (in cm)

The mean length at birth in the control groups ranged from 47.4 cm to 49.5 cm

The mean length at birth in the intervention groups was, on average, 0.24 cm longer (0.11 longer to 0.36 longer)

4986 participants (3 studies)

⊕⊕⊕⊝
Moderatea

Small‐for‐gestational age

1943/3240

772/1583

RR 0.94 (0.89 to 0.99)

4823 participants (3 studies)

⊕⊕⊕⊝
Moderatea

Preterm births (births before 37 weeks of gestation)

426/3290

186/1634

RR 0.94 (0.80 to 1.11)

5924 participants (3 studies)

⊕⊕⊕⊝
Moderatea

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% CI) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI)
CI: Confidence interval; IFA: Iron folic acid; LNS: Lipid‐based nutrient supplements; RR: Risk ratio; SMD: Standardised mean difference

GRADE Working Group grades of evidence

High quality: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect.
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect.

aDowngraded by one level (from high to moderate) due to study limitations (lack of blinding of participants and personnel).

Open in table viewer
Summary of findings 2. Summary of findings: lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN)

Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN)

Patient or population: pregnant women

Settings: community

Intervention: LNS

Comparison: MMN

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

Number of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

MMN

LNS

Gestational weight gain per week (from < 20 weeks gestation till the time of delivery)

One study found no difference in gestational weight gain per week between the two groups

682

(1 study)

⊕⊕⊕⊝
Moderatea

Maternal anaemia at term or near term (haemoglobin (Hb) less than 110 g/L)

69/291

88/266

RR 1.40 (1.07 to 1.82)

557 participants

(1 study)

⊕⊕⊕⊝
Moderatea

Maternal mortality (measured at six weeks postpartum)

Not measured

Low birth weight (< 2500 g)

150/1194

140/1210

RR 0.92 (0.74 to 1.14)

2404 participants (3 studies)

⊕⊕⊕⊝
Moderateb

Length at birth (in cm)

The mean length at birth in the control groups ranged from 47.6 cm to 49.7 cm

The mean length at birth in the intervention groups was, on average, 0.20 cm longer (0.02 shorter to 0.42 longer0

2567 participants (3 studies)

⊕⊕⊕⊝
Moderateb

Small‐for‐gestational age

385/1190

371/1203

RR 0.95 (0.84 to 1.07)

2393 participants (3 studies)

⊕⊕⊕⊝
Moderateb

Preterm births (births before 37 weeks of gestation)

139/1318

160/1312

RR 1.15 (0.93 to 1.42)

2393 participants (3 studies)

⊕⊕⊕⊝
Moderateb

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% CI) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI)
CI: Confidence interval; LNS: Lipid‐based nutrient supplements; MMN: Multiple micronutrients; RR: Risk ratio

GRADE Working Group grades of evidence
High quality: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect.
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect.

aDowngraded by one level (from high to moderate) due to study limitations (lack of blinding of participants and personnel in Adu‐Afarwuah 2015).
bDowngraded by one level (from high to moderate) due to study limitations (high risk of attrition bias in Huybregts 2009 (C)).

Background

Description of the condition

The nutritional status of women prior to and during pregnancy plays a key role in fetal growth and development, and women's energy and protein requirements significantly increase during pregnancy (FAO/WHO/UNU 2004). Maternal undernutrition is still prevalent, especially in low‐ and middle‐ income countries (LMICs), with approximately 20% of women in Asia and 10% women in Africa having a low body mass index (BMI; less than 18.5 kg/m² in adult women) (Black 2013). Apart from low BMI, deficiencies of micronutrients, including iron, folate, calcium, and vitamins A and D are also prevalent in LMICs. In 2011 the global prevalence of anaemia among pregnant women was estimated to be 38.2% (WHO 2015). At least half of this anaemia burden is assumed to be due to iron deficiency, with the rest due to other conditions, including folate, vitamin B12 or vitamin A deficiencies; chronic inflammation; parasitic infections; and inherited disorders (Black 2013). Calcium and vitamin D deficiencies are also a major public health problem worldwide in all age groups; however, most countries are still lacking reliable data, particularly population representative data, with limited information on infants, children, adolescents and pregnant women (Palacios 2014). Globally, the prevalence of night blindness in pregnant women is estimated to be around 8%, affecting around 10 million women, with an estimated 15.3% of pregnant women worldwide having low serum retinol levels (Black 2013). Estimates suggest that 28.5% of the world's population, or 1.9 billion individuals, are iodine deficient (Black 2013). Additionally, undernutrition and micronutrient deficiencies increase the risk of infections, and in turn lead to further undernutrition (Black 2013).

Maternal undernutrition causes maternal and child morbidity and mortality, also contributing to low birth weight (LBW) and small‐for‐gestational‐age (SGA) births, which can lead to stunting, wasting and micronutrient deficiencies in children (Black 2013). The placenta forms the interface between maternal‐fetal circulations, which is critical for fetal nutrition and oxygenation (Belkacemi 2010), while the placental supply of nutrients to the fetus depends on its size, morphology, blood supply, and transporter abundance. An optimal maternal nutrient supply has a critical role in placental‐fetal growth and development, while a suboptimum maternal nutrition supply during pregnancy results in intrauterine growth restriction (IUGR) and newborns with LBW (Belkacemi 2010). Maternal iron deficiency anaemia has been strongly associated with adverse birth outcomes, including LBW and increased perinatal mortality, while maternal zinc and iodine deficiencies have been suggested as risk factors for adverse fetal and infant growth (Black 2013). LBW, defined by the World Health Organization (WHO) as weight‐at‐birth of less than 2500 g (5.5 lb), continues to be a significant and global public health problem. Overall, about 15% to 20% of all births worldwide are LBW, representing more than 20 million births a year (WHO 2014). LBW is not only a major predictor of mortality and morbidity in infants and children, but recent studies have found that it also increases the risk for non‐communicable diseases, such as diabetes and cardiovascular disease, in later life (Larroque 2001; Risnes 2011). Nutriton is one of the factors influencing cognitive development, and there is some evidence that these nutritional deficiencies can impair child cognition (Shenkin 2004), as well as pose adverse health outcomes in adulthood (Harder 2007). Literature suggests that there is a connection between improved nutrition and optimal brain function since nutrients provide building blocks in cell proliferation, DNA synthesis, neurotransmitter and hormone metabolism, and they are important constituents of enzyme systems in the brain (Bhatnagar 2001; De Souza 2011; Lozoff 2006; Zeisel 2006; Zimmermann 2011). Brain development is faster in the early years of life, making children more vulnerable to maternal and early life dietary deficiencies (Nyaradi 2013).

Addressing undernutrition by achieving appropriate energy intakes (in the form macronutrients) and ensuring that the intakes of specific nutrients (like vitamins and minerals) are adequate to meet maternal and fetal need, is of the utmost importance for improving maternal and child health outcomes (Imdad 2011). Early preventive measures could address general deprivation and inequity, leading to substantial and long‐term improvements in outcomes. Implementation of nutrition interventions and provision of delivery platforms for hard‐to‐reach populations is also crucial (Black 2013). Disruption and displacement of populations in emergency situations (including conflicts and natural disaster) pose an additional threat to the existing situation of undernutrition. Statistics suggest that women and children represent over three‐quarters of the estimated 80 million people in need of humanitarian assistance, and many countries with high maternal, newborn and child mortality rates are affected by humanitarian emergencies (UNICEF 2014).

Description of the intervention

Various interventions are recommended (or have been implemented) to improve maternal nutrition, including education, food provision and micronutrient supplements (iron, folic acid, multiple micronutrients) as well as other indirect interventions such as agricultural and financial interventions (Bhutta 2013). One of the nutritional interventions advocated to improve undernutrition in pregnant women is lipid‐based nutrient supplements (LNS). Adequate consumption of long‐chain, omega‐3 polyunsaturated fatty acids in the diet of pregnant women is essential, particularly the most biologically active forms (docosahexaenoic acid and eicosapentaenoic acid) (Coletta 2010), as these fatty acids support fetal growth, especially the brain and eyes, and deficiency may be associated with visual deficit and suboptimal behavioural development. However, there is not enough evidence to support the routine use of marine oil or other prostaglandin precursor supplements during pregnancy to reduce the risk of pre‐eclampsia, preterm birth, LBW or SGA (Makrides 2006).

LNS are a family of products designed to deliver nutrients to vulnerable people. There is no standard composition of LNS; however, most of the energy is supplied from fats. Three main LNS products are currently used in maternal and child nutrition: ready to‐use therapeutic foods (RUTF) or large‐quantity (LQ) LNS; ready‐to‐use supplementary foods (RUSF) or medium‐quantity (MQ) LNS; and LNS for home fortification or small‐quantity (SQ) LNS (Arimond 2015). RUTF or LQ‐LNS are designed for treatment of severe acute malnutrition, provide almost all energy requirements, and are given in large daily doses (Diop 2003); RUSF or MQ‐LNS are designed for treatment of moderate acute malnutrition and provide 50% to 100% of energy needed; while SQ‐LNS products are designed to prevent undernutrition and promote growth and development through home fortification of the local diet, and they provide less than 50% of the energy needed (Arimond 2015).

LNS provide a range of vitamins and minerals, but unlike most other micronutrient supplements they also provide energy, protein and essential fatty acids (Chaparro 2010). They are considered 'lipid‐based' because most of the energy provided by these products is from lipids (fats). There is no recommended composition for LNS, so existing projects have used different composition mixes. LNS recipes can include a variety of ingredients, but they typically include vegetable fat, peanut or groundnut paste, milk powder and sugar; other ingredients include whey, soy protein isolate, and sesame, cashew and chickpea paste (iLiNS Project 2016). Various commercial and locally available products are being used as LNS; however, researchers are exploring alternative recipes and formulations in efforts to develop affordable and culturally acceptable products for a range of settings. Similar products combining vegetable oil, groundnut paste, milk, sugar and micronutrients are being used as RUTF for managing both moderate and severe acute malnutrition in infants and children (WHO 2012; WHO 2013). Some studies have evaluated the feasibility and acceptability of LNS, suggesting that it is acceptable to infants as well as pregnant and lactating women (Adu‐Afarwuah 2011). Corn soy blends are different from LNS, as these are fortified blended foods (FBF) used as complementary foods or as supplementary foods for pregnant women.

LNS can be used as point‐of‐use food fortification or can be consumed directly during pregnancy as a source of energy, as protein and micronutrients in public health programmes, and as an intervention to improve birth weight and other pregnancy outcomes in areas where maternal undernutrition is prevalent (Arimond 2015; iLiNS Project 2016). These are usually given at a daily dose of less than 120 kcal/day. The doses and formulations of LNS can be modified according to the needs of the specific target group, and to date, there is no widely accepted, standard formulation for women during pregnancy. Some of the advantages of LNS are that they are ready‐to‐eat (no cooking required) and can be stored for as long as 18 to 24 months even in hot climates (Phuka 2008). This makes LNS especially useful in emergency settings where safe water and hygiene are common issues.

How the intervention might work

Ready‐to‐use lipid‐based nutrients could be a good source of macro‐ and micronutrients in a highly nutrient‐dense supplement, and they could be used as a dietary supplement to address the nutrient requirements of undernourished populations of pregnant women. The supplement composition can be tailored to meet the nutritional requirements of the target population. Cost is an important consideration but should be weighed against the effectiveness in maintaining and improving nutritional outcomes (Chaparro 2010).

Multiple studies have evaluated the impact of LNS when given to pregnant women and children in LMICs. The use of LNS has been associated with improved nutritional status among pregnant women and thereby improved growth and development outcomes among infants and children (Arimond 2015; Iannotti 2014; Thakwalakwa 2010), mainly by focusing on promotion of fetal growth during pregnancy through maternal supplementation. Cord leptin, produced by fetal adipocytes and placenta, has been positively associated with birth size and fetal fat mass (Clapp 1998; Forhead 2009; Lepercq 2001). Some authors hypothesise that LNS increases birth size, possibly through a change in the endocrine regulation of fetal development, and it is associated with higher cord blood leptin in primigravidae and women from the highest BMI tertile (Huybregts 2013). One study suggested that the initial effects of LNS are not sustained during infancy based on the hypothesis that fetuses adapted to better nutritional conditions in utero, which could have made them more sensitive to suboptimal nutritional and environmental factors during the postnatal period (Lanou 2014). One study from Malawi suggested that LNS did not influence the occurrence of maternal infections with Plasmodium falciparum parasitaemia, trichomoniasis or vaginal candidiasis, or of urinary tract infection (Nkhoma 2017). Other studies have suggested that LNS are palatable and acceptable to women in LMIC settings (Adu‐Afarwuah 2011; Mridha 2012; Mridha 2016a), although there were variances to adherence within the population (Harding 2014), as beneficiaries tended to make their own adaptations in terms of how much and how often to consume (Harding 2014). A study evaluating home delivery of LNS products in rural Malawi suggested that the cost of procurement, storage and weekly home delivery of LNS was largely comparable to other product delivery mechanisms currently undertaken in the public sector; however, the study also suggested that the expected health and other benefits associated with each proposed intervention strategy should be compared to the costs to set priorities (Vosti 2015).

Why it is important to do this review

LNS are currently being used in programmes targeting pregnant women in LMICs like Ghana, Malawi and Burkina Faso, with the expectation of improving birth outcomes and reducing LBW (Schofield 2009; WHO 2007). Current studies have shown mixed effects of this intervention using varying compositions, doses, frequencies and comparison groups between studies. Various types of fortified foods are currently in use, including FBF, complementary food supplements and multiple micronutrient powders (MNPs). The type and amount of nutrient varies according to the various products and formulations (Schofield 2009). This review will assess the effects and safety of LNS for women during pregnancy on maternal, birth and infant outcomes, as there is currently no systematic evaluation on this topic. The findings could inform policy and would be highly relevant for countries or areas that have a high burden of undernutrition or those facing emergency situations. We will attempt to assess the appropriate composition, frequency and duration of this intervention through various subgroup analyses. In addition, we will carry out a subgroup analysis on whether the pregnant women were identified and the LNS distributed through a facility or in a community. We are also developing a companion review to assess the effectiveness of preventive LNS plus complementary foods for health, nutrition and developmental outcomes in non‐hospitalised infants and children aged 6 to 23 months (Das in press). Together, these reviews will inform policy decisions on the effectiveness and safety of LNS compared to other interventions, and to assess which delivery platforms are effective.

Multiple micronutrient supplements and powders are currently not recommended for pregnant women (WHO 2016), but we will compare them to the provision of LNS, given the assumption that other micronutrients contained in the micronutrient powders could have an impact on pregnancy, birth and infant developmental outcomes; for example, zinc on preterm births (Ota 2015a). We will also compare LNS to antenatal nutrition education, since nutrition education conducted during the antenatal period with the aim of increasing energy and protein intake appears to be effective in reducing the risk of preterm birth and LBW, increasing head circumference at birth, increasing birth weight among undernourished women, and increasing protein intake (Ota 2015b).

Objectives

To assess the effects of LNS for maternal, birth and infant outcomes in pregnant women. Secondary objectives were to explore the most appropriate composition, frequency and duration of LNS administration.

Methods

Criteria for considering studies for this review

Types of studies

Randomised controlled trials (RCTs) and quasi‐RCTs (i.e. trials that use methods of assignment such as alternation, or assignment based on date of birth or case record number; Lefebvre 2011).

Types of participants

Women with singleton pregnancy of any age and parity, living in stable or emergency settings.

Types of interventions

Interventions involving the provision of LNS for point‐of‐use food fortification or direct consumption, irrespective of dose, frequency and duration. We included any LNS regardless of its content. Specifically, we assessed the evidence for the following comparisons.

  1. LNS versus no intervention or placebo.

  2. LNS versus IFA ‐ in the form of tablets or capsules. We included studies comparing LNS versus IFA and reported differences in micronutrients between groups, as described by trial authors.

  3. LNS versus oral multiple micronutrient (MMN) supplements ‐ in the form of tablets or capsules. We included studies comparing LNS versus MMN and reported differences in micronutrients between groups, as described by trial authors.

  4. LNS versus multiple micronutrient powders (MNPs) ‐ to be sprinkled over food. We included studies comparing LNS versus MMP and reported differences in micronutrients between groups, as described by trial authors.

  5. LNS versus nutrition counselling ‐ WHO strategy on nutrition counselling during pregnancy focuses primarily on: promoting a healthy diet by increasing the diversity and amount of foods consumed; promoting adequate weight gain through sufficient and balanced protein and energy intake; and promoting consistent and continued use of micronutrient supplements, food supplements or fortified foods.

We included only trials that combined the provision of LNS with other cointerventions, or other approaches, provided the same cointerventions were given to both the intervention and the comparison groups.

This review excluded comparisons to FBF; these foods are given in larger quantities (more calories and nutrients) and so are difficult to compare with LNS, which are given in much smaller quantities.

Types of outcome measures

Primary outcomes
Maternal outcomes

  1. Maternal anthropometric status (weight, BMI, gestational weight gain)

  2. Maternal anaemia at term or near term (haemoglobin (Hb) less than 110 g/L)

  3. Maternal mortality

  4. Adverse effects (any); for example, allergic reactions as diagnosed by clinical assessment (atopic dermatitis, urticaria, oedema (oral), ophthalmic pruritus, allergic rhinitis, asthma, anaphylaxis) or gastrointestinal effects

Birth and infant outcomes

  1. Low birth weight (birth weight less than 2500 g)

  2. Weight at birth (in g)

  3. Length at birth (in cm)

  4. Small‐for‐gestational age (as defined by trial authors)

  5. Preterm births (births before 37 weeks of gestation)

  6. Development outcomes (milestones, as defined by trial authors)

Secondary outcomes
Maternal outcomes

  1. Maternal Hb at term or near term (in g/L at 34 weeks gestation or more)

  2. Duration of gestation

  3. Maternal satisfaction with LNS (as defined by trial authors)

  4. Maternal adherence or compliance with LNS (as defined by study authors)

Birth and infant outcomes

  1. Miscarriage and stillbirths (as defined by trial authors)

  2. Head circumference (in cm)

  3. Mid upper arm circumference (MUAC; in cm)

  4. Stunting at any time within the first six months (length‐for‐age is more than two standard deviations (SD) below the WHO Child Growth Standards median)

  5. Wasting at any time within the first six months (weight‐for‐length is more than two SDs below the WHO Child Growth Standards median)

  6. Underweight at any time within the first six months (weight‐for‐age is more than two SDs below the WHO Child Growth Standards median)

  7. Neonatal death (death occurring between birth and 28 days of life)

  8. Infant mortality (death occurring in the first year of life)

Search methods for identification of studies

Electronic searches

We searched the sources listed below in March 2017, and again in May 2018, using the strategies in Appendix 1. We did not apply language or date restrictions.

International databases

  1. Cochrane Central Register of Controlled Trials (CENTRAL; 2018, Issue 4) in the Cochrane Library, and which includes the Cochrane Developmental, Psychosocial and Learning Problems Specialised Register (searched 29 May 2018).

  2. MEDLINE Ovid (1946 to May Week 3 2018).

  3. MEDLINE In‐Process and Other Non‐Indexed Citations Ovid (25 May 2018).

  4. MEDLINE Epub ahead of print Ovid (25 May 2018).

  5. Embase Ovid (1974 to 2018 Week 22).

  6. CINAHL Plus EBSCOhost (Cumulative Index to Nursing and Allied Health Literature; 1937 to 29 May 2018).

  7. Science Citation Index Web of Science (SCI; 1970 to 28 May 2018).

  8. Social Sciences Citation Index Web of Science (SSCI; 1970 to 28 May 2018).

  9. Conference Proceedings Citation Index ‐ Science Web of Science (CPCI‐S; 1970 to 28 May 2018).

  10. Conference Proceedings Citation Index ‐ Social Science & Humanities Web of Science (CPCI‐SS&H; 1970 to 28 May 2018).

  11. Cochrane Database of Systematic Reviews (CDSR; 2018, Issue 5) part of the Cochrane Library (searched 29 May 2018 ).

  12. Database of Abstracts of Reviews of Effect (DARE; 2015, Issue 2. Final issue) part of the Cochrane Library (searched 9 March 2017).

  13. Epistemonikos (epistemonikos.org; searched 29 May 2018).

  14. POPLINE (www.popline.org; searched 29 May 2018).

  15. ClinicalTrials.gov (clinicaltrials.gov; searched 4 June 2018).

  16. World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP; who.int/trialsearch; searched 4 June 2018).

Regional databases

  1. IBECS (Índice Bibliográfico Español en Ciencias de la Salud; ibecs.isciii.es; searched 21 May 2018).

  2. SciElo (Scientific Electronic Library Online; www.scielo.br; searched 21 May 2018).

  3. AIM Africa Global Index Medicus (Africa Index Medicus; search.bvsalud.org/ghl/?lang=en&submit=Search&where=REGIONAL; searched 21 May 2018).

  4. IMEMR Global Index Medicus (Index Medicus for the Eastern Mediterranean Region; search.bvsalud.org/ghl/?lang=en&submit=Search&where=REGIONAL; searched 21 May 2018).

  5. LILACS (Latin American and Caribbean Health Sciences Literature; lilacs.bvsalud.org/en; searched 21 May 2018).

  6. PAHO/WHO Institutional Repository for Information Sharing (iris.paho.org/xmlui; searched 21 May 2018).

  7. WHOLIS Global Index Medicus (WHO Library Database; search.bvsalud.org/ghl/?lang=en&submit=Search&where=REGIONAL; searched 21 May 2018).

  8. WPRIM Global Index Medicus (Western Pacific Index Medicus; search.bvsalud.org/ghl/?lang=en&submit=Search&where=REGIONAL; searched 21 May 2018).

  9. IMSEAR Global Index Medicus (Index Medicus for the South‐East Asian Region; search.bvsalud.org/ghl/?lang=en&submit=Search&where=REGIONAL; searched 21 May 2018).

  10. IndMED (Indexing of Indian Medical Journals; indmed.nic.in/indmed.html; searched 21 May 2018).

  11. Native Health Research Database (hscssl.unm.edu/nhd; searched 21 May 2018).

Searching other resources

We checked the reference lists of included studies and relevant reviews for further studies. We contacted authors of eligible studies and other related people for information about ongoing or unpublished studies we may have missed or, where necessary, to provide missing data (Dewey 2017a [pers comm]; Dewey 2017b [pers comm]; Moran 2016 [pers comm]; Stewart 2017 [pers comm]).

Data collection and analysis

Selection of studies

Two review authors (of ZH, AZB and RAS) independently assessed all records generated by the search strategy. First, they screened titles and abstracts of all records retrieved and short‐listed those deemed potentially relevant. Next, they obtained and assessed the full texts of all potentially relevant records, assessing each one against the inclusion criteria (see Criteria for considering studies for this review) before deciding on the final list of studies to be included. We resolved any disagreements through discussion or, if required, in consultation with a third review author (JKD).

We recorded our decisions in a PRISMA diagram (Moher 2009).

Data extraction and management

For eligible studies, two review authors (ZH, NGV, AZB and RAS) independently extracted data using a form designed for this review. We resolved any discrepancies through discussion with the entire group and documented these in the review. We completed a data collection form electronically and extracted and recorded the following information.

Study methods

  1. Study design

  2. Unit and method of allocation

  3. Method of sequence generation

  4. Masking of participants, personnel and outcome assessors

Participants

  1. Location of study

  2. Sample size

  3. Age

  4. Sex

  5. Socioeconomic status (as defined by trialists and where such information was available)

  6. Baseline prevalence of anaemia

  7. Baseline BMI status

  8. Inclusion and exclusion criteria

Intervention

  1. Dose (SQ‐LNS providing less than 120 kcal/day; MQ‐LNS providing 120 to less than 250 kcal/day; and LQ‐LNS providing 250 to 500 kcal/day)

  2. Formulation of LNS

  3. Frequency of distribution of LNS to participants

  4. Duration of intervention

  5. Cointervention

Comparison group

  1. No intervention or placebo

  2. IFA

  3. MMN supplements

  4. MMP

  5. Nutrition counselling

Outcomes

  1. Primary and secondary outcomes, as outlined in the Types of outcome measures section

  2. Exclusion of participants after randomisation and proportion of losses at follow‐up

We recorded both prespecified and non‐prespecified outcomes, although we did not use the latter to underpin the conclusions of the review.

We entered the data into Review Manager 5 (RevMan 5) software (Review Manager 2014).

Assessment of risk of bias in included studies

Using the criteria from the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011a), and set out in Appendix 2, two review authors (NGV and JKD) independently assessed the risk of bias of each included study as high, low or unclear, across the following seven domains: random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting and other potential sources of bias. We resolved any disagreement by discussion or by involving a third assessor (ZH). We also summarised the risk of bias within studies (across domains). To do this, we assessed the likely magnitude and direction of the bias in each of the aforementioned domains and considered whether they were likely to impact on the findings. We considered studies to be at high risk of bias if they had poor or unclear allocation concealment and either inadequate blinding or high/imbalanced losses to follow‐up. We explored the impact of the level of bias through a Sensitivity analysis.

Measures of treatment effect

Dichotomous data

For dichotomous data, we presented results as risk ratios (RR) with 95% confidence intervals (CI).

Continuous data

For continuous data, we used the mean difference (MD) with 95% CI if outcomes were measured in the same way between studies. We used the standardised mean difference (SMD) with 95% CI to combine studies that measured the same outcome but used different measurement methods.

When some studies reported endpoint data and others reported change from baseline data (with errors), we combined these in the meta‐analysis, provided the outcomes were reported using the same scale.

Please refer to our protocol, Das 2017, and Table 1 for additional methods archived for use in future updates of this review.

Open in table viewer
Table 1. Unused methods

Method

Approach

Measures of treatment effect

Rates

If rates represent events that could have occurred more than once per participant, we will report the rate difference using the methodologies described in Deeks 2011.

Unit of analysis issues

Cluster‐randomised studies
Where possible, we will estimate the intra‐cluster correlation co‐efficient (ICC) from trials' original data sets and will report the design effect. We will use the methods set out in the Cochrane Handbook for Systematic Reviews of Interventions to calculate the adjusted sample sizes (Higgins 2011b). We will use an estimate of the ICC derived from the study (if possible), from a similar study or from a study of a similar population. If we use ICCs from other sources, we shall report this and conduct sensitivity analyses to investigate the effect of variation in the ICC (see Sensitivity analysis). If we identify both cluster‐RCTs and individually randomised trials, we plan to synthesise the relevant information. We will consider it reasonable to combine the results from both if there is little heterogeneity between the study designs and the interaction between the effect of intervention and the choice of randomisation unit is considered to be unlikely. We will also acknowledge heterogeneity in the randomisation unit and perform a sensitivity analysis to investigate the effects of the randomisation unit (see Sensitivity analysis).

Assessment of reporting bias

If we include 10 or more studies in the meta‐analysis, we will investigate reporting biases (such as publication bias) using funnel plots. We will assess funnel plot asymmetry visually, and use formal tests for funnel plot asymmetry. For continuous outcomes, we will use the test proposed by Egger 1997. For dichotomous outcomes, we will use the test proposed by Harbord 2006. If any of these tests detect asymmetry, or if it is suggested by a visual assessment, we will perform exploratory analyses to investigate it.

Subgroup analysis and investigation of heterogeneity

We will conduct the following subgroup analyses.

  1. Anaemia status of the participants at baseline: anaemic versus non‐anaemic versus mixed/unknown/unreported

  2. Baseline BMI of the participants: low BMI (< 18.5 kg/m²) versus normal BMI (18.5 to 24.9 kg/m²)

  3. Delivery strategy: health facility versus provided in community versus mixed/unknown/unreported

  4. Duration of intervention: < 3 months versus 3 to < 6 months versus 6 to 9 months

  5. Setting: stable versus emergency versus mixed/unknown/unreported. We used the Inter‐Agency Standing Committee's (IASC) definition of emergency (IASC 1994): a situation threatening the lives and well‐being of a large number of people or a very large percentage of a population and often requiring substantial multi‐sectoral assistance.

Sensitivity analysis

We will conduct sensitivity analyses to assess the robustness of the results to the following.

  1. Removing studies at high risk of bias (studies with poor or unclear allocation concealment and either blinding or high/imbalanced loss to follow‐up) from the analysis

  2. Different ICC values for cluster‐randomised studies (if these were included)

  3. Studies with mixed populations in which marginal decisions were made (specifically, we aimed to conduct a sensitivity analysis for studies that were conducted in multiple settings, to assess whether the impact on any outcome was marginal)

  4. A fixed‐effect model

ICC: intra‐class correlation coefficient.

Unit of analysis issues

Cluster‐randomised studies

Where possible, our plan was to estimate the intra‐class correlation coefficient (ICC) from the studies' original data sets and report the design effect, using the methods set out in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011b). However, we did not need to do this since we included only one cluster‐randomised study, Huybregts 2009 (C), and the trialists had already presented the analysis having appropriately adjusted for clustering. Consequently, we included this study in the same analyses as individually randomised studies. We considered it reasonable to combine the results because there was little heterogeneity between the study designs, and it was unlikely that the effect of intervention and the choice of randomisation unit would interact.

See also Das 2017 and Table 1.

Studies with more than two treatment groups

For studies with more than two intervention groups (multi‐arm trials) and a single control group, we included the directly relevant arms only. When we identified studies with various relevant arms, we followed the recommendations in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011b), and we combined the groups to make a single pair‐wise comparison (if possible). If the control group was shared by two or more intervention groups, we divided the control group (events and total population) over the number of relevant subgroup categories to avoid double counting the participants in the control group. We reported details related to multiple arms in the Characteristics of included studies tables.

Dealing with missing data

We attempted to obtain missing data from the study investigators. If this was not possible, we reported the data as missing and did not attempt to impute values. We describe the missing data, including dropouts, in the 'Risk of bias' tables, beneath the Characteristics of included studies tables. For all outcomes, we carried out analyses, as far as possible, on an intention‐to‐treat basis (i.e. we attempted to include all participants randomised to each group in the analyses and all participants analysed in the group to which they were allocated, regardless of whether or not they received the allocated intervention). The denominator for each outcome in each study was the number randomised minus any participants whose outcomes were known to be missing.

Assessment of heterogeneity

We assessed methodological heterogeneity by examining the methodological characteristics and 'Risk of bias' of the studies, and we assessed clinical heterogeneity by examining the similarity between the types of participants, interventions and outcomes.

For statistical heterogeneity, we examined the forest plots of meta‐analyses looking for heterogeneity among studies, and used the I² statistic, Tau² statistic and Chi² test to quantify the level of heterogeneity among the studies in each analysis. If we identified moderate or substantial heterogeneity, we explored it by prespecified subgroup analyses (see Subgroup analysis and investigation of heterogeneity). We regarded heterogeneity as substantial if the value of the I² statistic was greater than 50%, and either Tau² was greater than zero or there was a low P value (< 0.10) in the Chi² test for heterogeneity. Due to limited number of studies in each analysis, we could not conduct all the prespecified subgroup analysis, but for future updates in case of heterogeneity, we will perform the prespecified subgroup analysis (see Subgroup analysis and investigation of heterogeneity).

We advise caution in the interpretation of analyses with high degrees of heterogeneity.

Assessment of reporting biases

We did not find 10 studies reporting a single outcome and hence could not assess reporting bias. For methods to assess reporting bias in future updates of this review, please refer to our protocol, Das 2017, and Table 1.

Data synthesis

We carried out statistical analysis using RevMan 5 (Review Manager 2014). We combined the data using a random‐effects model, considering the differences in the intervention, using the Mantel‐Haenszel method for dichotomous outcomes and the inverse‐variance method for continuous outcomes. We only used a fixed‐effect model as a sensitivity analysis (if it was likely to be plausible); see Sensitivity analysis. We conducted a meta‐analysis where studies were examining the same intervention, and the studies' populations and methods were judged to be sufficiently similar.

We presented the results as the average treatment effect with 95% CI and the estimates of Tau², Chi² and I² (Deeks 2011).

Where it was not appropriate to conduct a meta‐analysis, we described the results as reported by the study authors.

Subgroup analysis and investigation of heterogeneity

Due to limitations of the data, we were only able to conduct the following subgroup analysis for LNS versus MMN: energy content. Please see Das 2017, and Table 1 for additional subgroup analyses archived for use in future updates of this review.

Sensitivity analysis

We were unable to conduct our preplanned sensitivity analyses due to the limited number of studies included in this review. We have archived these for use in future updates of this review (Das 2017; Table 1).

'Summary of findings' table

For the assessment across studies included in the review, two review authors (JKD and RAS) independently rated the quality of the evidence of each outcome as one of four levels (high, moderate, low or very low), using the GRADE approach (Balshem 2010), which involves consideration of within‐study risk of bias (methodological quality), directness of evidence, heterogeneity, precision of effect estimates and risk of publication bias. A third review author (ZAB) helped to resolve any disagreements.

We present the GRADE quality ratings for our outcomes, along with estimates of relative effects, number of participants and studies contributing data for those outcomes, in 'Summary of findings' tables, which we prepared using GRADE profiler software (GRADEpro GDT 2015). We prepared separate tables for each comparison. summary of findings Table for the main comparison sets out the findings for the LNS versus IFA comparison while summary of findings Table 2 sets out the findings for the LNS versus MMN comparison. We included the following outcomes in both tables: gestational weight gain per week, maternal anaemia at term or near term, maternal mortality, low birth weight, length at birth, SGA and preterm births.

Results

Description of studies

See Characteristics of included studies, Characteristics of excluded studies and Characteristics of ongoing studies.

Results of the search

The search strategy yielded 4122 unique records for possible inclusion. We excluded 4071 records on the basis of title and abstract and a further 12 reports following full‐text screening. We included four studies (from 38 reports) in the review and identified one ongoing study. Figure 1 depicts the flow chart for selecting the studies.


Study flow diagram.

Study flow diagram.

Included studies

We included four studies in this review, all of which contributed data (Adu‐Afarwuah 2015; Ashorn 2015; Huybregts 2009 (C); Mridha 2016b).

Settings

The studies included in this review took place in four LMICs in Asia and Africa where maternal undernutrition is a public health problem: Ghana (Adu‐Afarwuah 2015), Malawi (Ashorn 2015), Burkina Faso (Huybregts 2009 (C)), and Bangladesh (Mridha 2016b). All studies were in stable community settings; we did not find any studies assessing LNS for pregnant women in emergency settings. The communities were semi‐urban in Ghana (Adu‐Afarwuah 2015), rural in Bangladesh and Burkina Faso (Huybregts 2009 (C); Mridha 2016b), and semi‐urban and partly rural communities in Malawi (Ashorn 2015).

Participants

Included studies involved a total of 8018 pregnant women at 20 weeks of gestation or less. Adu‐Afarwuah 2015 included only women aged 18 years or older, while Ashorn 2015 used a minimum cutoff age of 15. Two studies did not define a minimum age for enrolment (Huybregts 2009 (C); Mridha 2016b). The number of participants ranged from 1320 in Adu‐Afarwuah 2015 to 4011 in Mridha 2016.

Interventions

Of the four studies included in this review, two studies compared LNS to both IFA and MMN (Adu‐Afarwuah 2015; Ashorn 2015); one compared LNS to IFA (Mridha 2016b); and one compared LNS to MMN (Huybregts 2009 (C)). None of the included studies compared LNS with MNPs or nutrition education.

The interventions began during pregnancy and lasted up to six months postpartum. Follow‐up ranged from 36 weeks of gestation (Mridha 2016b) to 24 months postdelivery (Mridha 2016b). Community health visitors delivered the intervention in Huybregts 2009 (C) and Mridha 2016b, and the research team did so in Adu‐Afarwuah 2015 and Ashorn 2015.

In three studies, the energy content of LNS was 118 kcal/day (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b); one study, Huybregts 2009 (C), used LNS with 372 kcal/day. These also included macronutrients, micronutrients, vitamins (A, B, C, D, E and K), minerals and trace elements (such as iron, zinc, copper, etc.). The LNS could be mixed with home‐prepared food or eaten directly from the sachet. The composition of LNS used in each study is presented in the Characteristics of included studies table.

Outcomes
Primary outcomes

Of the maternal outcomes, studies reported data on maternal anthropometric status (gestational weight gain per week), maternal anaemia and adverse effects, while of the birth and infant outcomes, studies reported data on LBW, weight at birth, length at birth, SGA, preterm births and development outcomes.

Secondary outcomes

Of the maternal outcomes, included studies reported maternal adherence or compliance with LNS, while of the birth and infant outcomes, studies reported data on miscarriage and stillbirth, head circumference, MUAC, newborn stunting, underweight and neonatal death.

Our list of prespecified outcomes did not include maternal mortality or duration of gestation (Das 2017), but since three studies reported data on these outcomes, we decided to report the findings for this outcome in our review. See Differences between protocol and review.

Excluded studies

We excluded a total of 12 studies after full‐text screening: four studies that enrolled HIV‐infected women (Flax 2012; Flax 2014; Hampel 2018; Kayira 2012); one study that assessed the effect of postpartum provision of LNS on breast milk quality (Haber 2016); one study that assessed LNS plus protein energy supplementation (Johnson 2017); one study that was formative research assessing the acceptability of LNS (Young 2015); one study that reported food insecurity data (Adams 2017); one study that reported the willingness to pay (Adams 2018); one study that reported collective findings from two of the included trials on maternal plasma fatty acid status and lipid profile (Oaks 2017); one study that reported the factors associated with language and motor development collectively in four cohorts of children (Prado 2017); and one study that provided LNS to women regardless of pregnancy status (Schlossman 2017). For further detail, please see the Characteristics of excluded studies tables.

Ongoing studies

We identified one ongoing, cluster‐randomised, five‐arm, controlled trial (Fernald 2016). The sample size will comprise 25 communities in each of the five arms, with a total of 1250 pregnant women, 1250 children aged from birth to six months, and 1250 children aged from six to 18 months. The five intervention arms are as follows.

  1. T0: existing programme with monthly growth monitoring and nutritional/hygiene education.

  2. T1: T0  plus  home visits for intensive nutrition counselling within a behaviour change framework.

  3. T2: T1  plus  LNS for children aged 6 months to 18 months old.

  4. T3: T2  plus  LNS supplementation of pregnant or lactating women.

  5. T4: T1  plus  intensive home‐visiting programme to support child development.

Primary outcomes will include child length/height‐for‐age z scores as well as mental, motor and social development outcomes. Secondary outcomes will include caregiver‐reported child morbidity, household food security and diet diversity, micronutrient status, and maternal knowledge of childcare, feeding practices and home stimulation practices.

See Characteristics of ongoing studies tables.

Risk of bias in included studies

See the 'Risk of bias' tables, beneath the Characteristics of included studies tables, for an assessment of the risk of bias for each included study, and Figure 2 and Figure 3 for an overall summary of the risk of bias of all included studies. We considered studies to be of high quality when we assessed them as being at low risk of bias for random sequence generation, low risk of bias for allocation concealment (selection bias) and low risk of bias for either blinding (performance or detection bias) or incomplete outcome data (attrition bias).


Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.


Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Allocation

Random sequence generation

We assessed all four studies as having adequate methods for generating the randomisation sequence and rated them at low risk of bias (Adu‐Afarwuah 2015; Ashorn 2015; Huybregts 2009 (C); Mridha 2016b).

Allocation concealment

All four studies used computer‐generated numbers for randomisation and coded envelopes for allocation concealment, so we judged them to be at low risk of bias on this domain (Adu‐Afarwuah 2015; Ashorn 2015; Huybregts 2009 (C); Mridha 2016b).

Blinding

The studies did not blind participants as the consistency of the interventions was different (capsules for IFA or MMN versus sachets for LNS) (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b; Huybregts 2009 (C)). However, since the outcomes were objective but it was unclear whether the lack of blinding could have conferred any risk of bias, we rated all four studies as being at unclear risk of performance bias.

We rated three studies at low risk of detection bias (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b), and one study, Huybregts 2009 (C), at unclear risk of detection bias since it was not clear if the outcome assessment was blinded.

Incomplete outcome data

We considered studies with more than 20% loss to follow‐up of the total included participants to be inadequate in terms of completeness of outcome data. Three studies had less than 20% attrition, so we rated these at low risk of attrition bias (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b). One study had more than 20% attrition, so we judged it to be at high risk of attrition bias (Huybregts 2009 (C)).

Selective reporting

All included studies were registered and provided NCT numbers. We reviewed the protocols for each of the included studies and the methods section of the reports. We judged all four studies to be at low risk of reporting bias (Adu‐Afarwuah 2015; Ashorn 2015; Huybregts 2009 (C); Mridha 2016b). Given the small number of studies, we were not able to generate funnel plots to investigate the relationship between effect size and standard error (see Das 2017; Table 1).

Other potential sources of bias

As we identified no other potential sources of bias, we rated all four studies at low risk of bias on this domain (Adu‐Afarwuah 2015; Ashorn 2015; Huybregts 2009 (C); Mridha 2016b). The studies specified no role of funding agencies in implementation or analysis.

Effects of interventions

See: Summary of findings for the main comparison Summary of findings: lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA); Summary of findings 2 Summary of findings: lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN)

In this review, we have included four studies involving 8018 pregnant women. We have organised the results by the different comparisons and by primary and secondary outcomes. Most of the included studies focused on maternal anthropometric indices along with neonatal and infant anthropometric outcomes; a few reported on the other prespecified outcomes in the protocol (Das 2017). We could not conduct any sensitivity analysis due to the limited number of studies.

Comparison 1: LNS versus IFA

Maternal primary outcomes
Maternal anthropometric status: pooled study results

Two studies with 3539 participants reported data on this outcome (Adu‐Afarwuah 2015; Mridha 2016b). There was no significant difference between the LNS and IFA groups for maternal gestational weight gain per week (SMD 0.46, 95% CI −0.44 to 1.36; Tau2 = 0.42, Chi2 = 105.54, I2 = 99%; moderate‐quality evidence; Analysis 1.1). The high heterogeneity could be attributable to the differences in study settings: semi‐urban communities in Ghana (Adu‐Afarwuah 2015) and rural communities in Bangladesh (Mridha 2016b).

Maternal anaemia at term or near term: single study results

One study with 536 participants, Adu‐Afarwuah 2015, reported data showing a two‐fold increase in the prevalence of anaemia in the LNS group compared to the IFA group (RR 2.35, 95% CI 1.67 to 3.30; moderate‐quality evidence; Analysis 1.2).

Maternal mortality: pooled study results

Three studies with 5628 participants reported maternal mortality (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b). There was no significant difference in maternal mortality between the two groups (RR 0.53, 95% CI 0.12 to 2.41; I2 = 0%; moderate‐quality evidence; Analysis 1.3).

Adverse effects: single study results

One study with 881 participants reported data on this outcome (Adu‐Afarwuah 2015). Adu‐Afarwuah 2015 defined adverse effects as one or more episodes of hospitalisation and did not find any significant difference in hospitalisation episodes between the LNS and IFA groups (59/440 hospitalisations in the LNS group compared to 44/441 hospitalisations in the IFA group, P = 0.11; Analysis 1.4).

Birth and infant primary outcomes
Low birth weight: pooled study results

Three studies with 4826 participants reported data on this outcome (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b). There was no significant difference in low birth weight between the two groups (RR 0.87, 95% CI 0.72 to 1.05; Tau2 = 0.01, Chi2 = 3.00, I2 = 33%; moderate‐quality evidence; Analysis 1.5; Figure 4).


Forest plot of comparison: 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), outcome: 1.5 Low birth weight (LBW).

Forest plot of comparison: 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), outcome: 1.5 Low birth weight (LBW).

Weight at birth: pooled study results

Three studies with 5077 participants reported data on this outcome (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b). The birth weight (g) of neonates born to mothers consuming LNS was slightly higher than those consuming IFA (MD 53.28 g, 95% CI 28.22 to 78.33; Tau2 = 0.00, Chi2 = 1.18, I2 = 0%; moderate‐quality evidence; Analysis 1.6; Figure 5).


Forest plot of comparison: 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), outcome: 1.6 Weight at birth.

Forest plot of comparison: 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), outcome: 1.6 Weight at birth.

Length at birth: pooled study results

Three studies with 4986 participants reported data on this outcome (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b). The birth length (cm) of neonates born to mothers consuming LNS was slightly higher than those consuming IFA (MD 0.24 cm, 95% CI 0.11 to 0.36; Tau2 = 0.00, Chi2 = 1.47, I2 = 0%; moderate‐quality evidence; Analysis 1.7; Figure 6).


Forest plot of comparison: 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), outcome: 1.7 Length at birth.

Forest plot of comparison: 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), outcome: 1.7 Length at birth.

SGA: pooled study results

Three studies with 4823 participants reported data on this outcome (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b). There was lower risk of SGA neonates being born to mothers who consumed LNS compared to those who consumed IFA (RR 0.94, 95% CI 0.89 to 0.99; Tau2 = 0.00, Chi2 = 0.98, I2 = 0%; moderate‐quality evidence; Analysis 1.8).

Preterm births: pooled study results

Three studies with 4924 participants reported data on this outcome (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b). There was no significant difference in preterm births between the two groups (RR 0.94, 95% CI 0.80 to 1.11; Tau2 = 0.00, Chi2 = 0.73, I2 = 0%; moderate‐quality evidence; Analysis 1.9).

Developmental outcomes: single study results

Three studies assessed developmental outcomes (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b).

Using maternal report at 12 months of children's age, Ashorn 2015 found that children in the LNS group achieved walking alone and waving goodbye earlier than children in the IFA group. Adu‐Afarwuah 2015 found that a greater percentage of children in the SQ‐LNS group were able to walk alone at 12 months of age compared to children in the IFA group. There was no impact on any of the gross motor development outcomes at 18 months of age in these two studies.

Mridha 2016b found that motor development and receptive language scores were higher for infants in the LNS group compared to the control group, at 18 months and 24 months of age. There was no difference in expressive language scores at 18 months of age; however, scores were better in the LNS group at 24 months of age compared to the control group. There was no difference in personal social scores and executive function score.

No other developmental outcomes were reported by any of the included studies, and there is very limited existing data on the effect of LNS on neurodevelopmental outcomes.

Maternal secondary outcomes
Duration of gestation: pooled study results

Three studies with 5033 participants reported duration of gestation (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b). There was a significant increase in the duration of gestation in the LNS group compared to the IFA group (MD 0.18 weeks, 95% CI 0.04 to 0.32; Tau2 = 0.00, Chi2 = 0.34, I2 = 0%; moderate‐quality evidence; Analysis 1.10).

Maternal adherence or compliance with LNS

Three studies with 4826 participants reported maternal LNS acceptability and adherence (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b). LNS was acceptable to pregnant women in all three studies. However, qualitative findings from these studies suggest that acceptability and adherence may be interlinked, complex and context‐related, and sustained consumption may require tailoring interventions by context, with a focus on programmatic barriers and incorporating reminder techniques.

No studies reported data on the following maternal secondary outcomes for this comparison: maternal Hb at term or near term and maternal satisfaction with LNS.

Birth and infant secondary outcomes
Miscarriage and stillbirths: pooled study results

Two studies with 4714 participants reported data on miscarriages (Adu‐Afarwuah 2015; Mridha 2016b). There was no significant difference in miscarriages between the two groups (RR 0.87, 95% CI 0.66 to 1.14; Tau2 = 0.00, Chi2 = 0.35, I2 = 0%; Analysis 1.11).

Three studies with 5575 participants reported data on stillbirths (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b). There was no significant difference in stillbirths between the two groups (RR 1.14, 95% CI 0.52 to 2.48; Tau2 = 0.29, Chi2 = 5.38, I2 = 63%; Analysis 1.12).

Head circumference: pooled study results

Three studies with 4982 participants reported data on this outcome (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b). There was no significant difference in head circumference (cm) between the two groups (MD 0.20 cm, 95% CI 0.20 to 0.20; 2 studies, 4057 participants; Tau2 = 0.00, Chi2 = 0.000, I2 = 0%; Analysis 1.13). However, the head circumference z score was higher in the LNS group (MD 0.11, 95% CI 0.04 to 0.18; 3 studies, 4982 participants; Tau2 = 0.00, Chi2 = 2.20, I2 = 9%; Analysis 1.14).

MUAC: pooled study results

Two studies with 4374 participants reported data on this outcome (Ashorn 2015; Mridha 2016b). There was no significant difference in MUAC between the two groups (MD 0.12 cm, 95% CI −0.02 to 0.26; Tau2 = 0.01, Chi2 = 3.97, I2 = 75%; Analysis 1.15).

Stunting at any time within the first six months: pooled study results

Two studies with 4166 participants reported data on newborn stunting (Ashorn 2015; Mridha 2016b). Newborn stunting was lower in the LNS group compared to the IFA group (RR 0.82, 95% CI 0.71 to 0.94; Tau2 = 0.00, Chi2 = 0.13, I2 = 0%; Analysis 1.16).

Underweight at any time within the first six months: pooled study results

Two studies with 4174 participants reported data on newborn underweight (Ashorn 2015; Mridha 2016b). There was no significant difference in newborn underweight between the two groups (RR 0.84, 95% CI 0.63 to 1.13; Tau2 = 0.03, Chi2 = 1.70, I2 = 41%; Analysis 1.17).

Neonatal death: pooled study results

Three studies with 7172 participants reported data on neonatal death (Adu‐Afarwuah 2015; Ashorn 2015; Mridha 2016b). There was no significant difference between the groups for neonatal death (RR 0.72, 95% CI 0.47 to 1.10; Tau2 = 0.00, Chi2 = 2.70, I2 = 0%), including early neonatal death (RR 0.70, 95% CI 0.45 to 1.09; Tau2 = 0.00, Chi2 = 1.86, I2 = 0%), and late neonatal death (RR 0.96, 95% CI 0.14 to 6.51; Tau2 = 0.00, Chi2 = 0.75, I2 = 0%). See Analysis 1.18.

No studies reported data on the following birth and infant secondary outcomes for this comparison: wasting at any time within the first six months and infant mortality.

Comparison 2: LNS versus MMN

Maternal primary outcomes
Maternal anthropometric status: single study results

One study with 682 participants reported data on gestational weight gain per week (Adu‐Afarwuah 2015), showing no significant difference in gestational weight gain per week between the two groups (weight gain of 0.2 kg/week in both groups; Analysis 2.1).

Maternal anaemia at term or near term: single study results

One study with 557 participants reported data on anaemia (Adu‐Afarwuah 2015), showing increased anaemia in the LNS group when compared to the MMN group (RR 1.40, 95% CI 1.07 to 1.82; moderate‐quality evidence; Analysis 2.2).

Adverse effects: single study results

One study with 879 participants reported data on this outcome (Adu‐Afarwuah 2015). Adu‐Afarwuah 2015 defined adverse effects as one or more episodes of hospitalisation and did not find any significant difference in hospitalisation episodes between the LNS and MMN groups (59/440 hospitalisations in the LNS group compared to 50/439 hospitalisations in the MMN group, P = 0.36; Analysis 2.3).

No studies reported data on maternal mortality.

Birth and infant primary outcomes
Low birth weight: pooled study results

Three studies with 2404 participants reported data on this outcome (Adu‐Afarwuah 2015; Ashorn 2015; Huybregts 2009 (C)). There was no significant difference in low birth weight between the two groups (RR 0.92, 95% CI 0.74 to 1.14; Tau2 = 0.00, Chi2 = 0.10, I2 = 0%; moderate‐quality evidence; Analysis 2.4).

Weight at birth: pooled study results

Three studies with 2573 participants reported data on this outcome (Adu‐Afarwuah 2015; Ashorn 2015; Huybregts 2009 (C)). The birth weight (g) of neonates born to mothers consuming LNS was no different than the birth weight of neonates born to mothers consuming MMN (MD 23.67 g, 95% CI −10.53 to 57.86; Tau2 = 0.00, Chi2 = 0.25, I2 = 0%; moderate‐quality evidence; Analysis 2.5).

Length at birth: pooled study results

Three studies with 2567 participants reported data on this outcome (Adu‐Afarwuah 2015; Ashorn 2015; Huybregts 2009 (C)). The birth length (cm) of neonates born to mothers consuming LNS was no different than the birth length of neonates born to mothers consuming MMN (MD 0.20 cm, 95% CI −0.02 to 0.42; Tau2 = 0.01, Chi2 = 3.26, I2 = 39%; moderate‐quality evidence; Analysis 2.6).

SGA: pooled study results

Three studies with 2392 participants reported data on this outcome (Adu‐Afarwuah 2015; Ashorn 2015; Huybregts 2009 (C)). There was no significant difference in SGA neonates between the two groups (RR 0.95, 95% CI 0.84 to 1.07; Tau2 = 0.00, Chi2 = 0.85, I2 = 0%; moderate‐quality evidence; Analysis 2.7).

Preterm births: pooled study results

Three studies with 2630 participants reported data on this outcome (Adu‐Afarwuah 2015; Ashorn 2015; Huybregts 2009 (C)). There was no significant difference in preterm births between the two groups (RR 1.15, 95% CI 0.93 to 1.42; Tau2 = 0.00, Chi2 = 1.93, I2 = 0%; moderate‐quality evidence; Analysis 2.8).

No studies reported data on developmental outcomes.

Maternal secondary outcomes
Duration of gestation: pooled study results

Three studies with 2740 participants reported data on this outcome (Adu‐Afarwuah 2015; Ashorn 2015; Huybregts 2009 (C)). There was no significant difference in duration of gestation between the two groups (MD −0.07, 95% CI −0.26 to 0.12; Tau2 = 0.00, Chi2 = 0.98, I2 = 0%; Analysis 2.9)

No studies reported data on any of the maternal secondary outcomes for this comparison: maternal Hb at term or near term; maternal satisfaction with LNS; and maternal adherence or compliance with LNS.

Birth and infant secondary outcomes
Head circumference: pooled study results

Two studies with 1627 participants reported data on this outcome (Adu‐Afarwuah 2015; Huybregts 2009 (C)). There was no significant difference in head circumference (cm) between the two groups (MD 0.08 cm, 95% CI −0.16 to 0.31; Tau2 = 0.02, Chi2 = 2.50, I2 = 60%; Analysis 2.10).

Two studies with 1549 participants reported data on head circumference as measured by z scores (Adu‐Afarwuah 2015; Ashorn 2015). There was no significant difference in head circumference z scores between the two groups (MD 0.10, 95% CI −0.01 to 0.21; Tau2 = 0.00, Chi2 = 0.28, I2 = 0%; Analysis 2.11).

MUAC: pooled study results

Two studies with 1939 participants reported data on this outcome (Ashorn 2015; Huybregts 2009 (C)). The MUAC (cm) was not significantly different between the two groups (MD 0.07 cm, 95% CI −0.01 to 0.16; Tau2 = 0.00, Chi2 = 0.36, I2 = 0%; Analysis 2.12).

Stunting at any time within the first six months: single study results

One study with 729 participants reported data on stunting (Ashorn 2015). There was no significant difference in newborn stunting between the two groups (RR 1.06, 95% CI 0.75 to 1.51; Analysis 2.13).

Underweight at any time within the first six months: single study results

One study with 737 participants reported data on this outcome (Ashorn 2015). There was no significant difference in newborn underweight between the two groups (RR 0.78, 95% CI 0.46 to 1.33; Analysis 2.14).

Neonatal death: single study results

One study with 1175 participants reported data on neonatal death (Huybregts 2009 (C)). There was no significant difference in neonatal mortality between the two groups (RR 0.88, 95% CI 0.36 to 2.15; Analysis 2.15).

No studies reported data on the following birth and infant secondary outcomes for this comparison: miscarriage and stillbirths; wasting at any time within the first six months; and infant mortality.

Subgroup analysis by energy content

There was no significant difference in the subgroup analysis according to the energy content of LNS. See Analysis 3.1; Analysis 3.2; Analysis 3.3; Analysis 3.4; Analysis 3.5; Analysis 3.6; Analysis 3.7; Analysis 3.8; Analysis 3.9.

Discussion

Summary of main results

This review evaluated the effects of LNS in pregnant women and its impact on maternal, birth and infant outcomes. It includes four studies (8018 pregnant women); one study compares LNS versus IFA; one, LNS versus MMN; and two, LNS versus IFA or MMN. All studies evaluated SQ‐LNS with the except one study that evaluated the effect of LQ‐LNS (Huybregts 2009 (C)). We did not find any study comparing LNS with nutritional counselling.

Compared to IFA, LNS had a small, beneficial effect on birth weight, birth length, SGA and newborn stunting. However, there was no evidence of an effect for maternal gestational weight gain, low birth weight, miscarriage, stillbirth, preterm delivery, neonatal death and maternal mortality. One study reported adverse effects, showing no difference between the LNS and IFA groups. Findings for the developmental outcomes were scarce and not sufficient to draw any firm conclusions. Two studies reported on infant gross motor development, showing a small, positive impact on developmental outcomes at 12 months in the LNS group compared to the IFA group; there was no difference between the two groups at 18 months. One study showed a small, positive impact on language scores at 24 months, in favour of the LNS group. None of the included studies reported any of the other developmental outcomes.

Readers should interpret the beneficial findings of this review with caution due to the limited number of studies in the analyses and the fact that most of the evidence is driven by a single study, Mridha 2016b, conducted in a community‐based setting in Bangladesh, with a sample of 4011 pregnant women (mean age = 21.6 years).

When compared to MMN, there was no evidence of an effect of LNS on any of the reported maternal, birth or infant outcomes, and both interventions were found to be comparable. Only one study reported adverse effects and found no difference between the LNS and MMN groups.

Both IFA and MMN had a significant impact on maternal anaemia when compared to LNS.

The effect of LNS might differ depending on some potential, biologically plausible effect modifiers, including maternal baseline nutrition status, household food insecurity, household assets, maternal age and height, sex of the child, and time of year at birth (Mridha 2016b). We did not find any studies for LNS given to pregnant women in emergency settings.

Due to the limited number of included studies, we were unable to conduct our preplanned subgroup and sensitivity analyses (Das 2017), so we could not explore the most appropriate composition, frequency and duration of LNS.

Overall completeness and applicability of evidence

This review summarises findings from four studies (38 reports). All studies were published in the decade preceding publication of this review, with the oldest one dating to 2009. All studies took place in LMICs, and none of the included studies were in emergency settings. Of the four included studies, one compared LNS to IFA, one compared LNS to MMN, and two compared LNS to both IFA and MMN. We did not find any study comparing LNS with nutritional counselling. Three of the included studies provided SQ‐LNS, while one provided LQ‐LNS. The findings of this review may be generalisable to pregnant women in African and South Asian countries, since all of the studies are from community‐based settings in these regions. Findings are driven by one large (N = 4011), cluster‐randomised, community‐based trial from Bangladesh; however, the direction of effect for most outcomes is similar to other studies. We could not conduct subgroup analyses by baseline anaemia status, baseline BMI status, delivery strategy, duration of intervention or setting, due to the limited number of included studies.

Quality of the evidence

We considered the included studies to be of medium to high quality as regards allocation concealment and blinding of assessors. It was not possible to blind participants in all of the included studies due to the nature of the intervention (i.e. IFA and MMN were in tablet form while LNS was in the form of sachets). One study had more than 20% attrition, which may have affected the outcomes.

We judged all outcomes to be of moderate quality due to study limitations, high risk of attrition bias in Huybregts 2009 (C), and unclear risk of bias due to lack of blinding of participants and personnel.

Potential biases in the review process

We identified several potential biases in the review process, which we minimised in two ways: two review authors independently assessed the eligibility of studies for inclusion and extracted data, two review authors independently conducted the 'Risk of bias' assessments and entered the data into RevMan 5 (Review Manager 2014). However, subjective judgements are possible in these reviews, and others may reach different decisions regarding eligibility and risk of bias. We would encourage readers to examine the Characteristics of included studies tables to assist in the interpretation of results.

Agreements and disagreements with other studies or reviews

To our knowledge this is the only comprehensive review evaluating the effects of LNS supplementation during pregnancy. Findings from this review suggest a small, positive impact on birth and newborn outcomes (birth weight, birth length, SGA and newborn stunting). However, the beneficial findings of this review should be interpreted with caution since the evidence is from a small number of studies, with one large‐scale study in community settings in Bangladesh driving most of the impact, and effect sizes are too small to propose any concrete recommendation for practice.

Study flow diagram.
Figures and Tables -
Figure 1

Study flow diagram.

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.
Figures and Tables -
Figure 2

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.
Figures and Tables -
Figure 3

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Forest plot of comparison: 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), outcome: 1.5 Low birth weight (LBW).
Figures and Tables -
Figure 4

Forest plot of comparison: 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), outcome: 1.5 Low birth weight (LBW).

Forest plot of comparison: 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), outcome: 1.6 Weight at birth.
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Figure 5

Forest plot of comparison: 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), outcome: 1.6 Weight at birth.

Forest plot of comparison: 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), outcome: 1.7 Length at birth.
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Figure 6

Forest plot of comparison: 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), outcome: 1.7 Length at birth.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 1 Gestational weight gain.
Figures and Tables -
Analysis 1.1

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 1 Gestational weight gain.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 2 Maternal anaemia.
Figures and Tables -
Analysis 1.2

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 2 Maternal anaemia.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 3 Maternal mortality.
Figures and Tables -
Analysis 1.3

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 3 Maternal mortality.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 4 Adverse effects.
Figures and Tables -
Analysis 1.4

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 4 Adverse effects.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 5 Low birth weight (LBW).
Figures and Tables -
Analysis 1.5

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 5 Low birth weight (LBW).

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 6 Weight at birth.
Figures and Tables -
Analysis 1.6

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 6 Weight at birth.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 7 Length at birth.
Figures and Tables -
Analysis 1.7

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 7 Length at birth.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 8 Small‐for‐gestational age (SGA).
Figures and Tables -
Analysis 1.8

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 8 Small‐for‐gestational age (SGA).

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 9 Preterm births.
Figures and Tables -
Analysis 1.9

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 9 Preterm births.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 10 Duration of gestation.
Figures and Tables -
Analysis 1.10

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 10 Duration of gestation.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 11 Miscarriage.
Figures and Tables -
Analysis 1.11

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 11 Miscarriage.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 12 Stillbirth.
Figures and Tables -
Analysis 1.12

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 12 Stillbirth.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 13 Head circumference.
Figures and Tables -
Analysis 1.13

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 13 Head circumference.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 14 Head circumference z score.
Figures and Tables -
Analysis 1.14

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 14 Head circumference z score.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 15 Mid‐upper‐arm circumference (MUAC).
Figures and Tables -
Analysis 1.15

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 15 Mid‐upper‐arm circumference (MUAC).

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 16 Newborn stunting.
Figures and Tables -
Analysis 1.16

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 16 Newborn stunting.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 17 Newborn underweight.
Figures and Tables -
Analysis 1.17

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 17 Newborn underweight.

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 18 Neonatal death.
Figures and Tables -
Analysis 1.18

Comparison 1 Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA), Outcome 18 Neonatal death.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 1 Gestational weight gain per week.
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Analysis 2.1

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 1 Gestational weight gain per week.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 2 Maternal anaemia.
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Analysis 2.2

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 2 Maternal anaemia.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 3 Adverse events.
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Analysis 2.3

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 3 Adverse events.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 4 LBW.
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Analysis 2.4

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 4 LBW.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 5 Weight at birth.
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Analysis 2.5

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 5 Weight at birth.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 6 Length at birth.
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Analysis 2.6

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 6 Length at birth.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 7 SGA.
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Analysis 2.7

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 7 SGA.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 8 Preterm births.
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Analysis 2.8

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 8 Preterm births.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 9 Duration of gestation.
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Analysis 2.9

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 9 Duration of gestation.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 10 Head circumference.
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Analysis 2.10

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 10 Head circumference.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 11 Head circumference z score.
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Analysis 2.11

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 11 Head circumference z score.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 12 MUAC.
Figures and Tables -
Analysis 2.12

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 12 MUAC.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 13 Newborn stunting.
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Analysis 2.13

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 13 Newborn stunting.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 14 Newborn underweight.
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Analysis 2.14

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 14 Newborn underweight.

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 15 Neonatal death.
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Analysis 2.15

Comparison 2 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN), Outcome 15 Neonatal death.

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 1 LBW.
Figures and Tables -
Analysis 3.1

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 1 LBW.

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 2 Weight at birth.
Figures and Tables -
Analysis 3.2

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 2 Weight at birth.

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 3 Length at birth.
Figures and Tables -
Analysis 3.3

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 3 Length at birth.

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 4 SGA.
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Analysis 3.4

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 4 SGA.

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 5 Preterm births.
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Analysis 3.5

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 5 Preterm births.

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 6 Duration of gestation.
Figures and Tables -
Analysis 3.6

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 6 Duration of gestation.

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 7 Head circumference.
Figures and Tables -
Analysis 3.7

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 7 Head circumference.

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 8 MUAC.
Figures and Tables -
Analysis 3.8

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 8 MUAC.

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 9 Neonatal death: LQ‐LNS.
Figures and Tables -
Analysis 3.9

Comparison 3 Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content, Outcome 9 Neonatal death: LQ‐LNS.

Summary of findings for the main comparison. Summary of findings: lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA)

Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA)

Patient or population: pregnant women

Settings: community

Intervention: LNS

Comparison: IFA

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

Number of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

IFA

LNS

Gestational weight gain per week (from < 20 weeks gestation till the time of delivery)

0

The mean gestational weight gain per week in the intervention group was 0.46 standard deviations higher (0.44 lower to 1.36 higher)

3539 participants

(2 studies)

⊕⊕⊕⊝
Moderatea

Maternal anaemia at term or near term (haemoglobin (Hb) less than 110 g/L)

38/270

88/266

RR 2.35 (1.67 to 3.30)

536 participants (1 study)

⊕⊕⊕⊝
Moderatea

Maternal mortality (measured at six weeks postpartum)

6/3773

2/1855

RR 0.53 (0.12 to 2.41)

5628 participants

(3 studies)

⊕⊕⊕⊝
Moderatea

Low birth weight (< 2500 g)

1100/3241

396/1585

RR 0.87 (0.72 to 1.05)

4826 participants (3 studies)

⊕⊕⊕⊝
Moderatea

Length at birth (in cm)

The mean length at birth in the control groups ranged from 47.4 cm to 49.5 cm

The mean length at birth in the intervention groups was, on average, 0.24 cm longer (0.11 longer to 0.36 longer)

4986 participants (3 studies)

⊕⊕⊕⊝
Moderatea

Small‐for‐gestational age

1943/3240

772/1583

RR 0.94 (0.89 to 0.99)

4823 participants (3 studies)

⊕⊕⊕⊝
Moderatea

Preterm births (births before 37 weeks of gestation)

426/3290

186/1634

RR 0.94 (0.80 to 1.11)

5924 participants (3 studies)

⊕⊕⊕⊝
Moderatea

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% CI) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI)
CI: Confidence interval; IFA: Iron folic acid; LNS: Lipid‐based nutrient supplements; RR: Risk ratio; SMD: Standardised mean difference

GRADE Working Group grades of evidence

High quality: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect.
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect.

aDowngraded by one level (from high to moderate) due to study limitations (lack of blinding of participants and personnel).

Figures and Tables -
Summary of findings for the main comparison. Summary of findings: lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA)
Summary of findings 2. Summary of findings: lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN)

Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN)

Patient or population: pregnant women

Settings: community

Intervention: LNS

Comparison: MMN

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

Number of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

MMN

LNS

Gestational weight gain per week (from < 20 weeks gestation till the time of delivery)

One study found no difference in gestational weight gain per week between the two groups

682

(1 study)

⊕⊕⊕⊝
Moderatea

Maternal anaemia at term or near term (haemoglobin (Hb) less than 110 g/L)

69/291

88/266

RR 1.40 (1.07 to 1.82)

557 participants

(1 study)

⊕⊕⊕⊝
Moderatea

Maternal mortality (measured at six weeks postpartum)

Not measured

Low birth weight (< 2500 g)

150/1194

140/1210

RR 0.92 (0.74 to 1.14)

2404 participants (3 studies)

⊕⊕⊕⊝
Moderateb

Length at birth (in cm)

The mean length at birth in the control groups ranged from 47.6 cm to 49.7 cm

The mean length at birth in the intervention groups was, on average, 0.20 cm longer (0.02 shorter to 0.42 longer0

2567 participants (3 studies)

⊕⊕⊕⊝
Moderateb

Small‐for‐gestational age

385/1190

371/1203

RR 0.95 (0.84 to 1.07)

2393 participants (3 studies)

⊕⊕⊕⊝
Moderateb

Preterm births (births before 37 weeks of gestation)

139/1318

160/1312

RR 1.15 (0.93 to 1.42)

2393 participants (3 studies)

⊕⊕⊕⊝
Moderateb

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% CI) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI)
CI: Confidence interval; LNS: Lipid‐based nutrient supplements; MMN: Multiple micronutrients; RR: Risk ratio

GRADE Working Group grades of evidence
High quality: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect.
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect.

aDowngraded by one level (from high to moderate) due to study limitations (lack of blinding of participants and personnel in Adu‐Afarwuah 2015).
bDowngraded by one level (from high to moderate) due to study limitations (high risk of attrition bias in Huybregts 2009 (C)).

Figures and Tables -
Summary of findings 2. Summary of findings: lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN)
Table 1. Unused methods

Method

Approach

Measures of treatment effect

Rates

If rates represent events that could have occurred more than once per participant, we will report the rate difference using the methodologies described in Deeks 2011.

Unit of analysis issues

Cluster‐randomised studies
Where possible, we will estimate the intra‐cluster correlation co‐efficient (ICC) from trials' original data sets and will report the design effect. We will use the methods set out in the Cochrane Handbook for Systematic Reviews of Interventions to calculate the adjusted sample sizes (Higgins 2011b). We will use an estimate of the ICC derived from the study (if possible), from a similar study or from a study of a similar population. If we use ICCs from other sources, we shall report this and conduct sensitivity analyses to investigate the effect of variation in the ICC (see Sensitivity analysis). If we identify both cluster‐RCTs and individually randomised trials, we plan to synthesise the relevant information. We will consider it reasonable to combine the results from both if there is little heterogeneity between the study designs and the interaction between the effect of intervention and the choice of randomisation unit is considered to be unlikely. We will also acknowledge heterogeneity in the randomisation unit and perform a sensitivity analysis to investigate the effects of the randomisation unit (see Sensitivity analysis).

Assessment of reporting bias

If we include 10 or more studies in the meta‐analysis, we will investigate reporting biases (such as publication bias) using funnel plots. We will assess funnel plot asymmetry visually, and use formal tests for funnel plot asymmetry. For continuous outcomes, we will use the test proposed by Egger 1997. For dichotomous outcomes, we will use the test proposed by Harbord 2006. If any of these tests detect asymmetry, or if it is suggested by a visual assessment, we will perform exploratory analyses to investigate it.

Subgroup analysis and investigation of heterogeneity

We will conduct the following subgroup analyses.

  1. Anaemia status of the participants at baseline: anaemic versus non‐anaemic versus mixed/unknown/unreported

  2. Baseline BMI of the participants: low BMI (< 18.5 kg/m²) versus normal BMI (18.5 to 24.9 kg/m²)

  3. Delivery strategy: health facility versus provided in community versus mixed/unknown/unreported

  4. Duration of intervention: < 3 months versus 3 to < 6 months versus 6 to 9 months

  5. Setting: stable versus emergency versus mixed/unknown/unreported. We used the Inter‐Agency Standing Committee's (IASC) definition of emergency (IASC 1994): a situation threatening the lives and well‐being of a large number of people or a very large percentage of a population and often requiring substantial multi‐sectoral assistance.

Sensitivity analysis

We will conduct sensitivity analyses to assess the robustness of the results to the following.

  1. Removing studies at high risk of bias (studies with poor or unclear allocation concealment and either blinding or high/imbalanced loss to follow‐up) from the analysis

  2. Different ICC values for cluster‐randomised studies (if these were included)

  3. Studies with mixed populations in which marginal decisions were made (specifically, we aimed to conduct a sensitivity analysis for studies that were conducted in multiple settings, to assess whether the impact on any outcome was marginal)

  4. A fixed‐effect model

ICC: intra‐class correlation coefficient.

Figures and Tables -
Table 1. Unused methods
Comparison 1. Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Gestational weight gain Show forest plot

2

3539

Std. Mean Difference (IV, Random, 95% CI)

0.46 [‐0.44, 1.36]

2 Maternal anaemia Show forest plot

1

Risk Ratio (M‐H, Random, 95% CI)

Totals not selected

3 Maternal mortality Show forest plot

3

5628

Risk Ratio (M‐H, Random, 95% CI)

0.53 [0.12, 2.41]

4 Adverse effects Show forest plot

1

Risk Ratio (M‐H, Random, 95% CI)

Totals not selected

5 Low birth weight (LBW) Show forest plot

3

4826

Risk Ratio (M‐H, Random, 95% CI)

0.87 [0.72, 1.05]

6 Weight at birth Show forest plot

3

5077

Mean Difference (IV, Random, 95% CI)

53.28 [28.22, 78.33]

7 Length at birth Show forest plot

3

4986

Mean Difference (IV, Random, 95% CI)

0.24 [0.11, 0.36]

8 Small‐for‐gestational age (SGA) Show forest plot

3

4823

Risk Ratio (M‐H, Random, 95% CI)

0.94 [0.89, 0.99]

9 Preterm births Show forest plot

3

4924

Risk Ratio (M‐H, Random, 95% CI)

0.94 [0.80, 1.11]

10 Duration of gestation Show forest plot

3

5033

Mean Difference (IV, Random, 95% CI)

0.18 [0.04, 0.32]

11 Miscarriage Show forest plot

2

4714

Risk Ratio (M‐H, Random, 95% CI)

0.87 [0.66, 1.14]

12 Stillbirth Show forest plot

3

5575

Risk Ratio (M‐H, Random, 95% CI)

1.14 [0.52, 2.48]

13 Head circumference Show forest plot

2

4057

Mean Difference (IV, Random, 95% CI)

0.20 [0.20, 0.20]

14 Head circumference z score Show forest plot

3

4982

Std. Mean Difference (IV, Random, 95% CI)

0.11 [0.04, 0.18]

15 Mid‐upper‐arm circumference (MUAC) Show forest plot

2

4374

Mean Difference (IV, Random, 95% CI)

0.12 [‐0.02, 0.26]

16 Newborn stunting Show forest plot

2

4166

Risk Ratio (M‐H, Random, 95% CI)

0.82 [0.71, 0.94]

17 Newborn underweight Show forest plot

2

4174

Risk Ratio (M‐H, Random, 95% CI)

0.84 [0.63, 1.13]

18 Neonatal death Show forest plot

3

7172

Risk Ratio (M‐H, Random, 95% CI)

0.72 [0.47, 1.10]

18.1 Early neonatal

3

5555

Risk Ratio (M‐H, Random, 95% CI)

0.70 [0.45, 1.09]

18.2 Late neonatal

2

1617

Risk Ratio (M‐H, Random, 95% CI)

0.96 [0.14, 6.51]

Figures and Tables -
Comparison 1. Lipid‐based nutrient supplements (LNS) versus iron folic acid (IFA)
Comparison 2. Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Gestational weight gain per week Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

2 Maternal anaemia Show forest plot

1

Risk Ratio (M‐H, Random, 95% CI)

Totals not selected

3 Adverse events Show forest plot

1

Risk Ratio (M‐H, Random, 95% CI)

Totals not selected

4 LBW Show forest plot

3

2404

Risk Ratio (M‐H, Random, 95% CI)

0.92 [0.74, 1.14]

5 Weight at birth Show forest plot

3

2573

Mean Difference (IV, Random, 95% CI)

23.67 [‐10.53, 57.86]

6 Length at birth Show forest plot

3

2567

Mean Difference (IV, Random, 95% CI)

0.20 [‐0.02, 0.42]

7 SGA Show forest plot

3

2393

Risk Ratio (M‐H, Random, 95% CI)

0.95 [0.84, 1.07]

8 Preterm births Show forest plot

3

2630

Risk Ratio (M‐H, Random, 95% CI)

1.15 [0.93, 1.42]

9 Duration of gestation Show forest plot

3

2740

Mean Difference (IV, Random, 95% CI)

‐0.07 [‐0.26, 0.12]

10 Head circumference Show forest plot

2

1627

Mean Difference (IV, Random, 95% CI)

0.08 [‐0.16, 0.31]

11 Head circumference z score Show forest plot

2

1549

Mean Difference (IV, Random, 95% CI)

0.10 [‐0.01, 0.21]

12 MUAC Show forest plot

2

1939

Mean Difference (IV, Random, 95% CI)

0.07 [‐0.01, 0.16]

13 Newborn stunting Show forest plot

1

Risk Ratio (M‐H, Random, 95% CI)

Totals not selected

14 Newborn underweight Show forest plot

1

Risk Ratio (M‐H, Random, 95% CI)

Totals not selected

15 Neonatal death Show forest plot

1

Risk Ratio (M‐H, Random, 95% CI)

Totals not selected

Figures and Tables -
Comparison 2. Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN)
Comparison 3. Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 LBW Show forest plot

3

2404

Risk Ratio (M‐H, Random, 95% CI)

0.92 [0.74, 1.14]

1.1 Small quantity‐lipid‐based nutrient supplements (SQ‐LNS)

2

1384

Risk Ratio (M‐H, Random, 95% CI)

0.89 [0.66, 1.20]

1.2 Large quantity‐lipid‐based nutrient supplements (LQ‐LNS)

1

1020

Risk Ratio (M‐H, Random, 95% CI)

0.95 [0.69, 1.30]

2 Weight at birth Show forest plot

3

2573

Mean Difference (IV, Random, 95% CI)

23.67 [‐10.53, 57.86]

2.1 SQ‐LNS

2

1553

Mean Difference (IV, Random, 95% CI)

31.22 [‐12.66, 75.11]

2.2 LQ‐LNS

1

1020

Mean Difference (IV, Random, 95% CI)

12.0 [‐42.56, 66.56]

3 Length at birth Show forest plot

3

2567

Mean Difference (IV, Random, 95% CI)

0.20 [‐0.02, 0.42]

3.1 SQ‐LNS

2

1548

Mean Difference (IV, Random, 95% CI)

0.11 [‐0.10, 0.32]

3.2 LQ‐LNS

1

1019

Mean Difference (IV, Random, 95% CI)

0.40 [0.09, 0.71]

4 SGA Show forest plot

3

2393

Risk Ratio (M‐H, Random, 95% CI)

0.95 [0.84, 1.07]

4.1 SQ‐LNS

2

1381

Risk Ratio (M‐H, Random, 95% CI)

1.00 [0.85, 1.17]

4.2 LQ‐LNS

1

1012

Risk Ratio (M‐H, Random, 95% CI)

0.90 [0.76, 1.07]

5 Preterm births Show forest plot

3

2630

Risk Ratio (M‐H, Random, 95% CI)

1.15 [0.93, 1.42]

5.1 SQ‐LNS

2

1487

Risk Ratio (M‐H, Random, 95% CI)

1.19 [0.74, 1.92]

5.2 LQ‐LNS

1

1143

Risk Ratio (M‐H, Random, 95% CI)

1.15 [0.87, 1.51]

6 Duration of gestation Show forest plot

3

2740

Mean Difference (IV, Random, 95% CI)

‐0.07 [‐0.26, 0.12]

6.1 SQ‐LNS

2

1597

Mean Difference (IV, Random, 95% CI)

0.0 [‐0.23, 0.23]

6.2 LQ‐LNS

1

1143

Mean Difference (IV, Random, 95% CI)

‐0.20 [‐0.52, 0.12]

7 Head circumference Show forest plot

2

1627

Mean Difference (IV, Random, 95% CI)

0.08 [‐0.16, 0.31]

7.1 SQ‐LNS

1

608

Mean Difference (IV, Random, 95% CI)

0.20 [‐0.01, 0.41]

7.2 LQ‐LNS

1

1019

Mean Difference (IV, Random, 95% CI)

‐0.04 [‐0.25, 0.17]

8 MUAC Show forest plot

2

1939

Mean Difference (IV, Random, 95% CI)

0.07 [‐0.01, 0.16]

8.1 SQ‐LNS

1

928

Mean Difference (IV, Random, 95% CI)

0.10 [‐0.02, 0.22]

8.2 LQ‐LNS

1

1011

Mean Difference (IV, Random, 95% CI)

0.05 [‐0.07, 0.17]

9 Neonatal death: LQ‐LNS Show forest plot

1

1175

Risk Ratio (M‐H, Random, 95% CI)

0.88 [0.36, 2.15]

Figures and Tables -
Comparison 3. Lipid‐based nutrient supplements (LNS) versus multiple micronutrients (MMN): subgrouped by energy content