Background
Preterm delivery (PTD) is defined as neonates who are born alive before 37 weeks of pregnancy are completed. PTD is the second largest direct cause of child deaths in children younger than 5 years and causes approximately 1 million deaths annually worldwide. Additionally, PTD causes lifelong problems for many survivors [
1].
The incidence of PTD was 7.1 % in a multicenter, hospital-based investigation (based on 107,905 deliveries) in China. The proportion of PTD among the causes of neonatal death has significantly increased from 33.6 % in 2003 to 40.9 % in 2008. PTD is the leading cause of neonatal death in China [
2]. Because of the large population in China, China has become the second largest country with annual preterm deliveries. PTD is a serious public health problem in China.
PTD is thought to be a syndrome that is initiated by multiple mechanisms. However, the precise mechanism of PTD has not been established. Therefore, factors associated with preterm birth, but not obviously in the causal pathway, have been sought to explain preterm labor.
Folic acid (FA), an oxidized synthetic water-soluble member of the vitamin-B complex family, plays an essential role in one-carbon metabolism. The clinical application of FA supplementation to prevent neural tube defects (NTD) had been well proven in the last 20–25 years. Pregnant women are at risk of folate deficiency because pregnancy greatly increases folate requirements, especially during periods of rapid fetal growth (i.e., in the second and third trimesters). Although the relation between maternal folate status with NTD has been well established [
3,
4], the association of folate status with other adverse pregnancy outcomes is still unclear [
5]. Recently, some researchers have investigated maternal FA supplementation and PTD, but the findings were largely inconclusive. Some results supported protective effects [
6‐
9] and some did not [
10‐
14,
15]. A large population-based cohort study conducted in China showed that daily intake of 0.4 mg folic acid reduced the risk of PTD [
6]. A cohort in Singapore showed that higher plasma folate concentrations were associated with a longer gestational age and tended to be associated with a lower risk of PTD [
16]. Similar results were obtained in some prospective observational studies in the USA [
17,
18]. Some researches have shown that maternal FA supplementation during pregnancy protects against lipopolysaccharide-induced PTD through its anti-inflammatory effects [
19‐
21]. Researchers have hypothesized that lower maternal serum folate concentrations during pregnancy is associated with higher maternal plasma homocysteine concentrations, which cause pre-eclampsia and affect placental function, eventually leading to PTD [
22,
23].
Abnormal preconception body mass index (BMI) is a risk factor for PTD [
24,
25,
26]. The spontaneous PTD rate is higher in pre-pregnancy underweight women (BMI <18.5 kg/m
2) than in normal-weight women [
27,
28]. Some researchers have found that indicated PTD and premature rupture of the membranes are associated with preconception obesity, especially in extremely obese groups [
27,
29]. Obese women are more likely to develop pre-eclampsia and diabetes, and have indicated preterm births associated with these disorders [
30]. In a Boston birth cohort, pre-pregnancy obesity was associated with a decreased odds of PTD (0.76) and underweight was nearly associated with an increased odds of PTD (1.46) for spontaneous delivery [
30].
Maternal BMI and FA supplementation can affect the risk of PTD. Some studies have shown that there is an inverse interaction between BMI and serum folate levels [
31,
32]. Distribution of folate in the body is significantly affected by obesity, and should pregnancy occur, it may reduce the amount of folate available to the developing embryo [
33‐
35]. The FA supplement guideline in Canada suggests that women with a BMI >35 kg/m
2 should take 5-mg folate supplements daily to prevent a poor outcome [
36].
Whether there is any interactive effect between preconception BMI and FA supplementation for PTD is unclear. These previous studies mentioned above were mostly based on Caucasians, and there is a lack of Chinese population data. In this study, we aimed to determine whether FA supplementation can reduce the risk of PTD in China. We also investigated whether there is an interaction between FA supplementation and maternal BMI for the risk of PTD in the Chinese population.
Results
The mean age of the participants was 24.98 ± 3.87 years and the mean gestational age was 39.14 ± 1.67 weeks. The mean BMI was 21.03 ± 5.39 kg/m
2. A total of 9573 infants were born PTD. 159,635 (92.7 %) mothers were 21–35 years old, 163,767 mothers were Han ethnic (95.1 %), and 163,423 had at least a junior or higher school education (94.9 %). The proportion of FA supplementation was 76.8 % and the proportion of an abnormal BMI (obese, overweight, and underweight) was 24.5 %. We compared maternal characteristics grouped by preconception BMI and FA supplementation status. Overweight or obese women were more likely to have hypertension or diabetes at preconception than women with a normal BMI or underweight women (Table
1). The proportion of women with high school or higher education experience was higher in women using FA than in nonusers. More population characteristics are shown in Table
1.
Table 1
Maternal characteristics in study population grouped by preconception body mass index and folic acid supplement
Maternal characteristics | | | | | | | | | |
No of subject | 23429 | 129982 | 15880 | 2915 | | 39871 | 41457 | 90878 | |
Demographic information (%) | | | | | | | | | |
Maternal age (yr) | 24.96(3.19) | 24.18(3.82) | 26.01(4.54) | 26.60(4.70) | <0.001 | 24.85(3.94) | 24.77(3.69) | 25.13(3.90) | <0.001 |
Maternal education level | | | | | | | | | |
Primary school | 4.72 | 4.96 | 6.78 | 8.03 | <0.001 | 5.01 | 4.51 | 5.50 | <0.001 |
Junior school | 60.56 | 67.38 | 71.79 | 72.42 | 73.50 | 63.63 | 65.57 |
High school | 21.82 | 18.81 | 15.29 | 14.68 | 15.35 | 20.68 | 19.51 |
College and above | 12.89 | 8.85 | 6.13 | 4.87 | 6.14 | 11.18 | 9.42 |
House wife | | | | | | | | | |
Yes | 2.60 | 2.21 | 2.15 | 2.06 | 0.002 | 2.11 | 2.41 | 2.24 | 0.013 |
No | 97.40 | 97.79 | 97.85 | 97.94 | 97.89 | 97.59 | 97.76 |
Chinese Ethnic group | | | | | | | | | |
Chinese Han | 95.36 | 95.02 | 95.41 | 95.64 | 0.015 | 94.98 | 96.47 | 94.55 | <0.001 |
Others | 4.64 | 4.98 | 4.59 | 4.36 | 5.02 | 3.53 | 5.45 |
Maternal risk factors (%) | | | | | | | | | |
Previous preterm delivery | | | | | | | | | |
No | 99.75 | 99.83 | 99.62 | 99.59 | <0.001 | 99.79 | 99.83 | 99.78 | 0.239 |
Yes | 0.25 | 0.17 | 0.38 | 0.41 | 0.21 | 0.17 | 0.22 |
Preconception hypertension | | | | | | | | | |
No | 98.41 | 97.99 | 95.74 | 90.05 | <0.001 | 97.29 | 98.08 | 97.71 | <0.001 |
Yes | 1.59 | 2.01 | 4.26 | 9.95 | 2.71 | 1.92 | 2.29 |
Anemia | | | | | | | | | |
No | 84.54 | 85.99 | 85.21 | 87.38 | <0.001 | 83.98 | 83.41 | 87.58 | <0.001 |
Yes | 15.46 | 14.01 | 14.79 | 12.62 | 16.02 | 16.59 | 12.42 |
Diabetes mellitus | | | | | | | | | |
No | 98.34 | 98.77 | 98.05 | 96.84 | <0.001 | 98.63 | 98.28 | 98.76 | <0.001 |
Yes | 1.66 | 1.23 | 1.95 | 3.16 | 1.37 | 1.72 | 1.24 |
Dislike vegetables | | | | | | | | | |
No | 99.24 | 99.37 | 99.17 | 99.11 | 0.004 | 99.27 | 99.34 | 99.34 | 0.286 |
Yes | 0.76 | 0.63 | 0.83 | 0.89 | 0.73 | 0.66 | 0.66 |
Preconception alcohol use | | | | | | | | | |
No | 96.79 | 97.01 | 97.20 | 97.32 | 0.080 | 97.43 | 96.83 | 96.89 | <0.001 |
Yes | 3.21 | 2.99 | 2.80 | 2.68 | 2.57 | 3.17 | 3.11 |
Preconception Tobacco use | | | | | | | | | |
No | 99.63 | 99.70 | 99.57 | 99.31 | <0.001 | 99.70 | 99.58 | 99.70 | 0.001 |
Yes | 0.37 | 0.30 | 0.43 | 0.69 | 0.30 | 0.42 | 0.30 |
Preterm delivery | | | | | | | | | |
No | 94.11 | 94.57 | 94.05 | 93.69 | 0.001 | 92.08 | 94.98 | 95.23 | <0.001 |
Yes | 5.89 | 5.43 | 5.95 | 6.31 | 7.92 | 5.02 | 4.77 |
Women with an abnormal BMI had an increased risk of PTD (OR = 1.09, OR = 1.10, and OR = 1.17 for underweight, overweight, and obese, respectively). Preconception disease also raised the risk of PTD (OR = 1.49 and OR = 1.19 for hypertension and anemia, respectively). Women using alcohol had a higher risk of PTD (OR = 1.24). The risk of PTD was decreased by taking FA supplements, and this phenomenon was time-related. Taking FA supplements in the preconception period or in the first trimester reduced the risk of PTD (OR = 0.58 and OR = 0.61, respectively). The difference between the preconception period and the first trimester was not significant by transforming the first trimester as the reference group (
p = 0.053). Details were listed in Table
2.
Table 2
Crude odds ratio (95 % confidence intervals) of preterm delivery by maternal characteristics and single risk factor
Maternal characteristics | | | | |
Maternal age | | | | |
≤ 20 years | 8844 | 5.89 | 1.07 (0.98,1.17) | 0.14 |
21–35 years | 159640 | 5.53 | 1 | |
> 35 years | 3722 | 6.18 | 1.13 (0.98,1.29) | 0.09 |
Maternal education level | | | | |
Primary school and below | 8866 | 4.87 | | |
Junior school | 115279 | 6.02 | 1.25 (1.13,1.38) | <0.01* |
High school | 32418 | 4.42 | 0.90 (0.81,1.01) | 0.07 |
College and above | 15643 | 4.88 | 1 (0.89,1.13) | 0.97 |
Maternal career | | | | |
House wife | 3878 | 7.01 | 1 | |
Others | 168328 | 5.53 | 1.29 (1.14,1.46) | <0.01* |
Chinese Ethnic group | | | | |
Chinese Han | 163786 | 5.67 | 1 | |
Others | 8420 | 3.46 | 0.60 (0.53,0.67) | <0.01* |
Maternal risk factors | | | | |
Previous preterm delivery | | | | |
No | 171852 | 5.56 | 1 | |
Yes | 354 | 6.78 | 1.24 (0.82,1.87) | 0.32 |
Preconception BMI | | | | |
Underweight | 23429 | 5.89 | 1.09 (1.03,1.16) | <0.01* |
Normal weight | 129982 | 5.43 | 1 | |
Overweight | 15880 | 5.95 | 1.10 (1.03,1.18) | 0.01* |
Obese | 2915 | 6.31 | 1.17 (1.01,1.36) | 0.04* |
Preconception hypertension | | | | |
No | 168248 | 5.5 | 1 | |
Yes | 3958 | 7.98 | 1.49 (1.33,1.67) | <0.01* |
Anemia | | | | |
No | 147657 | 5.42 | 1 | |
Yes | 24549 | 6.37 | 1.19 (1.12,1.25) | <0.01* |
Diabetes mellitus | | | | |
No | 169819 | 5.55 | 1 | |
Yes | 2387 | 6.12 | 1.11 (0.94,1.31) | 0.23 |
Folic acid supplement | | | | |
Never | 39871 | 7.92 | 1 | |
1st trimester | 41457 | 5.02 | 0.61(0.58,0.65) | <0.01* |
Preconception | 90878 | 4.77 | 0.58(0.56,0.61) | <0.01* |
Dislike vegetables | | | | |
No | 171047 | 5.55 | 1 | |
Yes | 1159 | 6.47 | 1.18(0.93,1.49) | 0.17 |
Preconception alcohol use | | | | |
No | 167040 | 5.52 | 1 | |
Yes | 5166 | 6.78 | 1.24 (1.11,1.39) | <0.01* |
Preconception tobacco use | | | | |
No | 171641 | 5.56 | 1 | |
Yes | 565 | 6.19 | 0.85 (0.58,1.25) | 0.42 |
An interaction effect was found between preconception BMI and FA supplementation for PTD (Table
3). Taking FA supplements reduced the risk of PTD in all groups. Non-users with a normal BMI had a baseline risk of 7.95 PTD births per 100 live births, whereas mothers who took FA supplements had 4.69 PTD births per 100 live births (OR = 0.60). The OR of FA supplementation varied in different BMI groups. In underweight group, the OR of FA was 0.57 (95 % CI: 0.51, 0.64); in overweight group, the OR was 0.85 (95 % CI: 0.73,0.98); in obese group, the OR was 0.77 (95 % CI: 0.65,0.91). The interaction between maternal BMI and time of FA supplements was compared to examine why the protective effect was different among different BMI groups. We found that the protective effect of FA supplement in women with normal or underweight had similar values. The effect of FA supplement was different in overweight and obesity group, especially in preconception. Women with a BMI <24 kg/m
2 (including normal and underweight groups) who took FA supplements from preconception had a lower risk for PTD than in the first trimester (OR: 0.58 vs. 0.65 in the normal weight group, 0.56 vs. 0.60 in the underweight group). Women with a BMI ≥24 kg/m
2 (including the overweight and obese groups) who took FA supplements from the first trimester had a lower risk of PTD than at preconception (OR: 0.65 vs. 0.94 in the overweight group, 0.60 vs. 1.15 in the obesity group). Compared with no takers, obese women took FA supplement in preconception had an OR of 1.15 (not statistical significant).
Table 3
Effect of FA supplement in different BMI group for PTD
Normal | ref | 0.60 | (0.57,0.63) | 0.65 | (0.61,0.69) | 0.58 | (0.55,0.62) |
Underweight | ref | 0.57 | (0.51,0.64) | 0.60 | (0.52,0.69) | 0.56 | (0.49,0.63) |
Overweight | ref | 0.85 | (0.73,0.98) | 0.65 | (0.53,0.79) | 0.94 | (0.80,1.10) |
Obesity | ref | 0.77 | (0.65,0.91) | 0.60 | (0.37,0.97) | 1.15 | (0.81,1.64) |
Discussion
In our research population, the proportion of FA supplementation was as high as 76.8 % and more than 50 % women began to take FA supplements before conception. The reason for the high rate of supplementation in this population was based on a nation-wide free FA supplementation program, which was implemented in rural areas of China since 2009. The Chinese guideline of FA supplements is 0.4 mg/d from preconception to the end of the first trimester. Women who had rural household registration and planned to become pregnant were eligible to obtain FA tablets containing 0.4 mg FA for 6 months at no charge [
42].
A negative association was found between FA supplementation and the risk of PTD in our population. FA supplementation showed a strong protective effect on PTD. This protective rate varied from 35 % to 40 % according to different supplementation times. Women who began to take FA supplements in the preconception period had the lowest risk of PTD (cOR = 0.58, details in Table
2). Similar results were reported in the USA, where the duration of preconceptional folate supplementation affected the protective effect for PTD. In a meta-analysis, many observational studies suggested a slight reduction in PTD, which was not consistent with the results from randomized, controlled trials [
43]. The risk of spontaneous preterm birth decreased with the duration of preconceptional folate supplementation, and taking FA supplements over 1 year could reduce the risk of early spontaneous preterm birth by 50–70 %. In contrast, a cohort of Norwegians showed the opposite result, where preconceptional FA supplementation starting more than 8 weeks before conception was associated with an increased risk of PTD (hazard ratio = 1.19) [
44]. Another study showed a 20 % lowered risk of PTD was found in the first trimester compared with preconception [
33].
In our population, we found that women who were underweight/overweight/obese were at increased risk of PTD in single risk factor analysis (Table
2). Similar results were also reported in the USA and India [
29,
45,
46]. Spontaneous preterm birth could be caused by maternal thinness associated with decreased blood volume and fewer vitamins and minerals, which are associated with increased maternal infections. Serum folate levels are lower in obese women than in normal or underweight women [
32]. Obese women are more likely to develop pre-eclampsia and diabetes, and indicated preterm births are associated with these disorders [
42]. In this study, we could only compare the interaction between FA supplementation and maternal BMI. The direct factor (folate levels) in the population was not compared (without original data). FA supplementation can reduce homocysteine, which causes pre-eclampsia and affects placental function and fetal maturity, eventually leading to PTD. Therefore, analyzing the interaction of FA and BMI for prevention of PTD is important.
An interaction between FA supplements and maternal BMI was found in our population, and the protective effect of FA varied in different BMI groups. Taking FA supplements of 0.4 mg/d (regardless of when they started) reduced the risk of PTD in all of the BMI groups. The time of taking FA supplement was very important in women with abnormal BMI. In the underweight group, there was very little difference between 1st trimester and preconception. But in overweight and obesity group, the difference was very large. We hypothesize that maternal body size is associated with folate metabolism, which can influence maternal homocysteine levels and affect embryonic development and gestational weeks [
23,
47]. Distribution of folate in the body is significantly affected by BMI, and obesity might reduce the amount of folate available to the developing embryo [
35,
36]. Obesity-associated metabolic alterations could have an effect on folate use or increase folate requirements [
48,
49]. RBC folate increased incrementally with BMI, while serum folate concentrations were lower in obese groups [
50]. We conclude that FA supplementation and maternal obesity can influence homocysteine levels, which might affect placental function and eventually lead to PTD. The distribution of folate might be changed in pregnancy period. We also compared the interaction between the time of FA supplements and maternal BMI. Women with a BMI <24 kg/m
2 (including the normal and underweight groups) who took FA supplements from preconception had a lower risk for PTD than in the first trimester. Women with a BMI ≥24 kg/m
2 (including the overweight and obese groups) who took FA supplements from the first trimester had a lower risk of PTD than at preconception. Several studies have shown that different supplementation times can change the protective effect of FA [
9,
51]. In a similar study on NTD, the protective of FA was also weaker in the overweight and obesity population than in the normal and underweight population [
52]. We suggest that a diverse plan of FA supplementation should be carried out according to women’s BMI category. The time and dose of FA supplement for obesity should be taken into account.
Limitations
The primary limitation in the present study was misclassification of FA supplemental status. We relied on the self-reported use of FA supplements, which could lead to misclassification of FA supplemental status. We compared the proportion of FA supplements in our study with other studies (77 % vs. 68–92 % [
47,
53]). The name and content of the FA supplement was not investigated in the first trimester interview. Therefore, we could not separate FA supplements and multiple vitamin supplements, including FA. Dietary folate was also not estimated in this cohort. We could not calculate the exact folate level. Further research should be carried out to verify the results of this study.
The second limitation of this study was that PTD could not be divided into indicated and spontaneous PTD. Pre-pregnancy obesity is associated with a higher risk of indicated, but not spontaneous, PTD [
30]. This study was a retrospective cohort study. We could not analyze the risk of iatrogenic PTD because this type of PTD was not classified in the follow-up records. Detailed data should be collected to estimate the protective effect of FA between indicated PTD and spontaneous PTD in the future.
Because of the uncertainty of natural conception, we selected women who became pregnant in the following 6 months after the preconception medical examination as our research population. All statistical research was carried out in this population, which could also have reduced the effect of a change in maternal medical status on the results. Reported supplementation of FA for 1 year prior to conception has been linked with a decreased risk of preterm birth [
54]. In our cohort, we did not test the protective effect of FA from 1 year before conception in our population. Because our study design only included 6 months of FA supplements in the pregnant population, the results may not apply to the whole population.
Conclusions
In our study, FA supplements reduced the risk of PTD, while abnormal BMI raised the risk of PTD, although higher BMI categories did not have this higher risk once adjusted analysis was conducted. The protective effect of FA supplementation for PTD is reduced in women whose BMI was equal or greater than 24 kg/m2. To get better protection of FA supplementation, women with BMI < 24 kg/m2 should begin to use in preconception, while women with BMI ≥24 kg/m2 should begin to use after conception.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
YY Wang: Study design and paper writing. ZF Cao: Statistical anlysis. ZQ Peng: Data collection. XN Xin: Data collection. Y Zhang: Data collection.Y Yang: Paper review. Y He: Paper review. JH Xu: Paper review. X Ma: Study design. All authors read and approved the final manuscript.