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Erschienen in: BMC Pregnancy and Childbirth 1/2019

Open Access 01.12.2019 | Research article

The association between gestational weight gain z-score and stillbirth: a case-control study

verfasst von: Cassandra M. Pickens, Carol J. Hogue, Penelope P. Howards, Michael R. Kramer, Martina L. Badell, Donald J. Dudley, Robert M. Silver, Robert L. Goldenberg, Halit Pinar, George R. Saade, Michael W. Varner, Barbara J. Stoll

Erschienen in: BMC Pregnancy and Childbirth | Ausgabe 1/2019

Abstract

Background

There is limited information on potentially modifiable risk factors for stillbirth, such as gestational weight gain (GWG). Our purpose was to explore the association between GWG and stillbirth using the GWG z−score.

Methods

We analyzed 479 stillbirths and 1601 live births from the Stillbirth Collaborative Research Network case−control study. Women with triplets or monochorionic twins were excluded from analysis. We evaluated the association between GWG z−score (modeled as a restricted cubic spline with knots at the 5th, 50th, and 95th percentiles) and stillbirth using multivariable logistic regression with generalized estimating equations, adjusting for pre − pregnancy body mass index (BMI) and other confounders. In addition, we conducted analyses stratified by pre − pregnancy BMI category (normal weight, overweight, obese).

Results

Mean GWG was 18.95 (SD 17.6) lb. among mothers of stillbirths and 30.89 (SD 13.3) lb. among mothers of live births; mean GWG z−score was − 0.39 (SD 1.5) among mothers of cases and − 0.17 (SD 0.9) among control mothers. In adjusted analyses, the odds of stillbirth were elevated for women with very low GWG z−scores (e.g., adjusted odds ratio (aOR) and 95% Confidence Interval (CI) for z−score − 1.5 SD versus 0 SD: 1.52 (1.30, 1.78); aOR (95% CI) for z−score − 2.5 SD versus 0 SD: 2.36 (1.74, 3.20)). Results differed slightly by pre − pregnancy BMI. The odds of stillbirth were slightly elevated among women with overweight BMI and GWG z−scores ≥1 SD (e.g., aOR (95% CI) for z−score of 1.5 SD versus 0 SD: 1.84 (0.97, 3.50)).

Conclusions

GWG z−scores below − 1.5 SD are associated with increased odds of stillbirth.
Begleitmaterial
Additional file 7. Adjusted Odds Ratios for GWG Z−scores and Stillbirth by Cause-of-Death Groupings. This table contains adjusted odds ratios for the association between GWG z−scores and stillbirth by cause-of-death groupings [23]. The first sensitivity analysis was restricted to stillbirths with a probable cause of death, possible cause of death, or present condition related to placental abnormalities. The second was restricted to stillbirths with a probable cause of death, possible cause of death, or present condition related to maternal medical conditions excluding hypertension [23]. The third was restricted to stillbirths with a probable cause of death, possible cause of death, or present condition related to obstetric conditions [23]. Selected GWG z−scores were compared to a referent z−score of 0. Adjusted models involved control for maternal sociodemographic, behavioral, and pregnancy characteristics.
Hinweise

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12884-019-2595-x.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
aOR
Adjusted odds ratio
BMI
Body mass index
CI
Confidence interval
COD
Cause of death
cOR
Crude odds ratio
GA
Gestational age
GWG
Gestational weight gain
HMO
Health Maintenance Organization
SCRN
Stillbirth Collaborative Research Network
SD
Standard deviation
VA
Veterans Affairs
WIC
Special Supplemental Nutrition Program for Women, Infants, and Children

Background

Stillbirth (fetal death ≥20 weeks of gestation) occurs in 1 of every 168 U.S. pregnancies reaching 20 weeks of gestation [1]. The stillbirth rate among women with pre − pregnancy overweight and obesity is even higher [2]. Although the overall stillbirth rate decreased slightly in the past two decades, the gestation−specific rate for 20–27 week deliveries has not changed, and stillbirth is now more common than infant mortality in the U.S. [1]. There are limited data on potentially modifiable risk factors for stillbirth such as gestational weight gain (GWG) [3].
Gestational weight gain is associated with many risk factors for stillbirth independently of pre − pregnancy body mass index (BMI). High GWG is linked to maternal medical conditions, such as gestational diabetes [4] and hypertensive disorders [5, 6], and to altered fetal growth, such as macrosomia [7] and intrauterine growth restriction [8]. Inadequate GWG increases the risks of fetal growth restriction [7] and preterm birth [9].
Evidence regarding the association between stillbirth itself and maternal weight gain is limited. The 2009 Institute of Medicine (IOM) Committee to Reexamine Pregnancy Weight Guidelines requested research on gestational weight gain with stillbirth as a major endpoint [10]. However, many previous studies on GWG and stillbirth [1114] have numerous limitations, including restricting to stillbirths ≥28 weeks [15].
Evaluating the relation between GWG and stillbirth is challenging because both variables are highly correlated with gestational age (GA) at delivery [16]. GWG varies over time and typically increases throughout pregnancy [17]. The vast majority of stillbirths are preterm, limiting the GWG timeframe [2]. A GWG z−score measure, which standardizes for GA, was recently proposed in order to account for this correlation [1820]. Our objective was to evaluate the association between GWG z−score and the odds of stillbirth, while accounting for pre − pregnancy BMI.

Methods

Data source

The Stillbirth Collaborative Research Network (SCRN) Study was a multicenter case−control study conducted from 2006 to 2008 throughout Rhode Island and selected counties in Georgia, Massachusetts, Utah, and Texas. SCRN’s study methodology has been described in detail elsewhere [21]. Women with stillbirths (cases) and live births (controls) were enrolled at the time of delivery, with oversampling of women with preterm live births and non − Hispanic black women with live births at later gestational ages. Women had to be ≥13 years of age to participate and enrolled prior to hospital discharge. Data collection of consenting women included medical record abstraction, placental pathology, fetal autopsy, and a postpartum maternal interview [21]. Most interviews were completed face−to−face before hospital delivery discharge; a few interviews were completed by telephone or other method within 4 weeks of delivery. Sociodemographic information was derived from the maternal interview. Maternal height, pre − pregnancy weight, weight at last prenatal visit, and weight at delivery were abstracted from medical records. If maternal height or pre − pregnancy weight were unavailable in the medical record, women’s self−reported height and pre − pregnancy weight data were taken from the maternal postpartum interview (we used postpartum interview data on height and pre-pregnancy weight for only n = 1 woman in our analysis). Maternal pre-pregnancy body mass index (BMI) was categorized as underweight (BMI < 18.5 kg/m2), normal weight (BMI 18.5 − < 25.0 kg/m2), overweight (BMI 25.0 − < 30.0 kg/m2), class 1 obese (BMI 30.0 − < 35.0 kg/m2), and classes 2–3 obese (BMI ≥35.0 kg/m2).
Gestational age at delivery for both live births and stillbirths was determined via an algorithm that incorporated date and reliability of last menstrual period, ultrasound estimates of GA, and GA at study screening [22]. Gestational age at fetal death was determined via an algorithm based on fetal foot length and other measures [22]. Fourteen singleton stillbirths had an estimated GA at fetal death that was later than the estimated GA at delivery; GA at delivery was re-coded to GA at fetal death for these observations. Cause of fetal death was determined via a thorough review of autopsy reports, placental pathology, laboratory findings, and medical records [23]. Causes of fetal death were classified as probable causes, possible causes, or present conditions. Cause-of-death categories included placental abnormalities, obstetric conditions, fetal genetic/structural abnormalities, infection, umbilical cord abnormalities, hypertensive disorders, maternal medical conditions (excluding hypertension), and other causes [23]. Stillbirths could be classified as having multiple causes of death. Seventy-six percent of stillbirths in SCRN were assigned a probable or possible cause of death, and 31% of stillbirths had more than one possible or probable cause [23].
We excluded women with deliveries < 20 weeks, missing or implausible GWG (weight loss > 50 pounds or gain > 150 pounds), or missing pre − pregnancy BMI or covariates. Due to a lack of GWG z−score charts for certain groups, we excluded women with triplet gestations, monochorionic/monoamniotic twin pregnancies, and monochorionic/diamniotic twin pregnancies. We excluded women who had dichorionic/diamniotic twin pregnancies and underweight BMI but included women who had dichorionic/diamniotic twin pregnancies and normal weight, overweight, or obese BMI (Fig. 1).

Exposure measure

Total GWG was defined as maternal weight at delivery minus pre − pregnancy weight. We calculated GWG z−scores using published charts that were developed from a follow−up study of healthy Pittsburgh women who delivered term live births [1820]. Gestational weight gain (in kg) was transformed to a z−score using the published formula \( \frac{\ln \left( GWG+c\right)- mean\ \left(\ln (GWG)\right)}{standard\ deviation\left(\ln (GWG)\right)} \) [1820]. The mean and standard deviation depended on pre − pregnancy BMI category and GA at delivery, while c was a constant that transformed ln(GWG) to a positive value (means, standard deviations, and the constant were taken from published references [1820]). GWG z−scores can be calculated for either ongoing or completed pregnancies and require only three measurements: pre − pregnancy weight, weight at delivery (or weight at the GA in question), and GA at delivery (or at the time in question) [1820]. Among women with singleton pregnancies, published GWG z−score charts end at 40 weeks for women with normal weight and at 41 weeks for women with overweight or obesity; among women with dichorionic twin pregnancies, published charts end at 39 weeks for women with normal weight and at 38 weeks for women with overweight/obesity. In our main analyses, gestational ages above these cutoffs were rounded down to the last gestational week available in the chart (e.g., 40 weeks in singleton pregnancies to women with normal weight).

Statistical analyses

We conducted data analysis in SAS (Cary, NC). To examine associations between GWG z−score and stillbirth, we used univariable and multivariable logistic regression models with generalized estimating equations that accounted for correlation between multiple gestations. We chose an independent correlation structure after initial models showed a negligible difference between exchangeable and independent correlation structures. All analyses were weighted to account for SCRN’s sampling design and individuals’ probabilities of participating and completing all parts of the data collection process [21]. Models were adjusted for maternal age at delivery, maternal race and ethnicity, study site (Rhode Island/Massachusetts, Georgia, Galveston (Texas), San Antonio (Texas), Utah), maternal education, marital status/cohabitating, health insurance type, trimester prenatal care began, family income in the last 12 months, WIC enrollment, smoking or alcohol consumption during the 3 months prior to pregnancy, lifetime drug use, pregnancy history, history of hypertension, history of preexisting diabetes, history of thyroid disorder, and pre-pregnancy BMI category. Potential confounders, including maternal race and ethnicity, were selected a priori using directed acyclic graphs based on evidence of their associations with GWG and stillbirth [2].
We modeled GWG z−score as a restricted cubic spline with three knots corresponding to the 5th, 50th, and 95th percentiles (percentiles were calculated among live births only using SCRN analysis weights in SAS) [24]. We then calculated odds ratio contrasts of interest by comparing selected GWG z−scores (ranging from − 2.5 to 2.5, in intervals of 0.5) to a referent GWG z−score of 0. In addition, we used GWG z−score models stratified by pre − pregnancy BMI category (normal weight, overweight, obese (BMI ≥30.0 kg/m2)) [25, 26]. We were unable to analyze women with underweight BMI separately due to inadequate sample size. To use a restricted cubic spline in models stratified by pre − pregnancy BMI category, we re − calculated the 5th, 50th, and 95th percentiles of GWG z−score separately in each BMI category among live birth controls using SCRN analysis weights. Models among women with BMI ≥30.0 kg/m2 were adjusted for obesity class.

Sensitivity analyses

To examine how different assumptions affected results, we conducted various sensitivity analyses. These included: 1) using separate models for women with class 1 obesity versus classes 2–3 obesity; 2) restricting to women with stillbirths estimated to have died ≤1 day before delivery in order to limit the potential for reverse causality (i.e., to limit the risk of the fetal death itself influencing total GWG), and comparing these results to a model restricted to women with stillbirths estimated to have died > 1 day before delivery [22]; 3) restricting to stillbirths estimated to have been alive at their last prenatal visit [22], as well as re-calculating GWG z−scores for these stillbirths using weight and GA at last prenatal visit, in order to limit potential for reverse causality (a small number of stillbirths without prenatal care were excluded from this sensitivity analysis); 4) excluding mummified stillbirths (grade IV or higher maceration among fragmented fetuses and grade V or higher maceration among intact fetuses) because these stillbirths may have a significant discrepancy between fetal weight at death and delivery; 5) analyzing stillbirths by timing of delivery (< 28 weeks, ≥28 weeks, < 37 weeks, and ≥ 37 weeks) in order to explore potential etiologic differences; 6) restricting to women with non − anomalous antepartum stillbirths or non − anomalous live births; 7) analyzing intrapartum stillbirths separately due to their differing pathophysiology [23]; 8) excluding stillbirths with causes of death related to fetal genetic, structural, or karyotypic abnormalities or maternal/fetal hematologic conditions [27] because fetal weight may be driven more by congenital abnormalities than by maternal nutritional status in these pregnancies [28]; 9) excluding stillbirths that had an estimated GA at fetal death < 20 weeks [22], despite having a GA at delivery ≥20 weeks; 10) excluding women with a GA at delivery that exceeded the limit on the GWG z−score charts [1820]; 11) using weight at last prenatal visit as an estimate of weight at delivery for women who were missing delivery weight (last prenatal visit is typically a few days before delivery [29] for term pregnancies); 12) controlling for weight and height squared as separate variables because of concern about introducing bias with the use of ratio measures [30]; and 13) analyzing stillbirths by three cause-of-death categories [23]. For this final sensitivity analysis, we first restricted to stillbirths with a probable cause of death, possible cause of death, or present condition related to placental abnormalities (e.g., uteroplacental insufficiency, maternal vascular disorders) [23]. Second, we restricted to stillbirths with a probable cause of death, possible cause of death, or present condition related to maternal medical conditions, excluding hypertension (e.g., diabetes, antiphospholipid syndrome, thyroid disorder) [23]. Third, we restricted to stillbirths with a probable cause of death, possible cause of death, or present condition related to obstetric conditions (e.g., placental abruption; complications of multiple gestations; the combination of preterm labor, preterm premature rupture of membranes, and cervical insufficiency) [23].
This study was reviewed and approved by the Institutional Review Boards of each of the participating sites (Brown University, Emory University, University of Texas Health Science Center at San Antonio, University of Texas Medical Branch at Galveston, University of Utah) and by the data coordinating center (RTI International). Written informed consent was obtained from participants or from their legal guardians (if participants were minors).

Results

Of 1991 eligible live births and 652 eligible stillbirths, we excluded 390 live births and 173 stillbirths for reasons outlined above, leaving 1601 live births and 479 stillbirths to consented participants (Fig. 1). Mothers of stillbirths were more likely than mothers of live births to be non − Hispanic black, < 20 or ≥ 35 years old, non − married/non − cohabitating, and to have a previous stillbirth (Table 1). Mothers of stillbirths were also more likely to have preexisting hypertension, preexisting diabetes, and an above normal pre − pregnancy BMI.
Table 1
Frequencies of maternal characteristics by case−control status
 
Stillbirths (n = 479)
Live births (n = 1601)
n
Weighted %
n
Weighted %
Plurality
 Singleton
470
98.2
1544
96.7
 Twin (dichorionic/diamniotic)
9
1.8
57
3.3
Maternal age at delivery, years
 < 20
61
13.2
193
10.5
 20–34
341
69.6
1194
75.1
 35–39
59
13.0
186
12.5
 ≥40
18
4.2
28
1.9
Maternal race and ethnicity
 White, non − Hispanic
184
36.0
596
45.3
 Black, non − Hispanic
82
18.4
268
10.5
 Hispanic
176
38.5
620
35.7
 Other
37
7.1
117
8.5
Study site
 State of Rhode Island and Bristol County, Massachusetts
86
16.8
311
25.4
 DeKalb County, Georgia
73
15.4
288
12.6
 Galveston County and Brazoria County, Texas
49
9.3
134
9.0
 Bexar County, Texas
143
35.3
506
30.2
 Salt Lake County, Utah
128
23.2
362
22.8
Maternal education, grade
 0–11 (none/primary/some secondary)
110
23.1
330
18.2
 ≥12 (completed secondary)
369
77.0
1271
81.8
Marital status/cohabitating
 Not married or cohabitating
110
24.0
273
14.1
 Cohabitating or married
369
76.0
1328
85.9
Health insurance/method of payment
 Received any public/private assistance or did not have insurance
275
58.9
923
52.2
 VA/commercial health insurance/HMOa
204
41.2
678
47.9
Trimester prenatal care began
 First
325
67.1
1077
72.2
 Second
110
23.0
407
22.2
 Third or no prenatal care
44
10.0
117
5.7
Family income in the last 12 months
 Received public/private assistance
206
44.2
751
42.8
 Only personal income
273
55.8
850
57.2
WIC enrollmentb
 Yes
161
34.4
620
35.7
 No
318
65.6
981
64.3
Used alcohol or smoked during the 3 months prior to pregnancy
 Yes
220
45.7
696
47.1
 No
259
54.3
905
52.9
Lifetime drug use
 Ever
161
33.1
470
30.5
 Never
318
66.9
1131
69.5
Pregnancy history
 Primiparous
224
46.3
564
34.5
 Multiparous with no previous stillbirth
223
46.7
996
64.1
 Multiparous with previous stillbirth
32
7.1
41
1.4
Pre − pregnancy Body Mass Index
 Underweight (BMI < 18.5 kg/m2)
18
3.5
51
3.1
 Normal weight (BMI 18.5 − < 25.0 kg/m2)
185
38.3
760
49.8
 Overweight (BMI 25.0 − < 30.0 kg/m2)
119
24.9
393
23.3
 Class 1 obese (BMI 30.0 − < 35.0 kg/m2)
79
16.9
211
12.7
 Classes 2–3 obese (BMI ≥35.0  kg/m2)
78
16.4
186
11.1
Clinical history of hypertension
 Yes
43
9.4
113
6.6
 No
436
90.6
1488
93.4
Clinical history of diabetes
 Yes
26
5.6
37
1.7
 No
453
94.4
1564
98.3
Clinical history of thyroid disorder
 Yes
19
3.7
59
3.4
 No
460
96.3
1542
96.6
Gestational age at delivery, weeks
 20–23
135
28.9
95
0.6
 24–27
86
17.8
87
0.6
 28–31
65
12.5
78
1.0
 32–36
98
21.3
129
8.6
 ≥37
95
19.6
1212
89.2
aVA Veterans Affairs, HMO Health Maintenance Organization
bSpecial Supplemental Nutrition Program for Women, Infants, and Children
The average gestational age at delivery was 38.6 weeks for live births and 29.6 weeks for stillbirths, and the average estimated GA at fetal death was 28.6 weeks (Table 2). The mean difference between GA at delivery and estimated GA at fetal death (as estimated by the SCRN timing-of-death algorithm [22]) among stillbirths was 1.02 weeks, while the median difference was 0.29 weeks (SD: 1.7 weeks). Women with stillbirths had lower mean values of total GWG and GWG z−score than women with live births (Table 2). Mothers of stillbirths had a mean GWG of 18.95 lb. (SD 17.6 lb) and mean GWG z−score of − 0.39 (SD 1.5), while mothers of live births had a mean GWG of 30.89 lb. (SD 13.3 lb) and mean GWG z−score of − 0.17 (SD 0.9). Mean total GWG was inversely associated with pre − pregnancy BMI category, while the highest mean GWG z−scores were in women with BMI < 18.5 or ≥ 35.0 kg/m2. Mean GWG z−scores were negative for control mothers with normal weight, overweight, and class 1 obesity (Table 2).
Table 2
Distributions of gestational age, total GWG, and GWG Z−scores by case−control statusa
 
Stillbirths (n = 479)
Live births (n = 1601)
Gestational age at delivery, weeks
Mean
SD
Mean
SD
29.60
6.6
38.64
2.1
Estimated gestational age at fetal death, weeks (stillbirths only)b
Mean
SD
 
28.58
7.0
Total GWG, lb
Mean
SD
Mean
SD
 Total sample (All BMI Categories)
18.95
17.6
30.89
13.3
 Underweight (BMI < 18.5 kg/m2)
25.23
19.9
35.12
10.3
 Normal weight (BMI 18.5 − < 25.0 kg/m2)
21.65
15.2
33.90
11.7
 Overweight (BMI 25.0 − < 30.0 kg/m2)
22.13
19.5
30.75
12.8
 Class 1 obese (BMI 30.0 − < 35.0 kg/m2)
15.96
17.5
26.24
14.0
 Classes 2–3 obese (BMI ≥35.0 kg/m2)
9.55
15.7
21.90
16.2
GWG Z−scores
Mean
Median
SD
Mean
Median
SD
 Total sample (All BMI Categories)
−0.39
−0.26
1.5
−0.17
−0.10
0.9
 Underweight (BMI < 18.5 kg/m2)
−0.23
−0.80
1.8
0.14
0.26
0.9
 Normal weight (BMI 18.5 − < 25.0 kg/m2)
− 0.63
− 0.40
1.8
− 0.20
− 0.17
1.0
 Overweight (BMI 25.0 − < 30.0 kg/m2)
− 0.26
−0.30
1.3
−0.26
−0.17
0.8
 Class 1 obese (BMI 30.0 − < 35.0 kg/m2)
− 0.31
− 0.17
1.2
−0.17
−0.19
0.9
 Classes 2–3 obese (BMI ≥35.0 kg/m2)
−0.12
−0.01
1.1
0.09
0.24
0.7
aMeans, medians, and standard deviations are weighted, but sample sizes are unweighted
bGestational age at fetal death was determined via an algorithm based on fetal foot length and other measures [22]
In unadjusted analyses, GWG z−scores at or below − 0.5 SD were associated with increased odds of stillbirth; associations were stronger for z−scores below − 1.5 SD (e.g., crude odds ratio (cOR) and 95% Confidence Interval (CI) for − 1.5 vs. 0 SD: 1.46 (1.26, 1.70); cOR (95% CI) for − 2.5 SD: 2.25 (1.67, 3.02); Additional file 1). In addition, GWG z−scores at or above 1.5 SD were associated with slightly increased odds of stillbirth (cOR (95% CI) for GWG z−scores of 1.5 SD: 1.35 (1.03, 1.76); cOR (95% CI) for 2.5 SD: 1.79 (1.11, 2.87)).
Associations for low GWG z−scores (≤ − 0.5 SD) were similar after adjusting for covariates (Fig. 2; Additional file 1). In adjusted analyses, women with GWG z−scores of − 1.5 SD had a 1.52 (95% CI 1.30, 1.78) times increased odds of stillbirth, while women with GWG z−scores of − 2.5 SD had a 2.36 (1.74, 3.20) times increased odds of stillbirth. Confidence intervals for high GWG z−scores (≥1.5 SD) overlapped the null in adjusted analyses (e.g., adjusted odds ratio (aOR) for z−score of 2 SD: 1.34 (95% CI 0.89, 2.03); Additional file 1).
Associations between stillbirth and GWG z−scores < 0 were similar by pre – pregnancy BMI category (normal weight, overweight, or obese; see Fig. 3 and Additional file 2). For instance, the odds of stillbirth were increased by approximately 50% in women with GWG z−scores of − 1.5 SD, regardless of pre – pregnancy BMI category. However, precision was reduced compared to main analyses. Associations at very low z−scores (− 2.5 SD) were stronger in women with overweight BMI. Additionally, among women with overweight BMI, the odds of stillbirth were elevated at high GWG z−scores (e.g., aOR (95% CI) for GWG z−score of 1.5 SD: 1.84 (0.97, 3.50); for GWG z−score of 2.5 SD: 3.10 (0.99, 9.68)). Among women with obese BMI, adjusted ORs decreased from 2.02 to 0.75 as GWG z−scores increased from − 2.5 to 2.5 SD, but most 95% CIs overlapped the null.
Sample sizes of each sensitivity analysis are presented in Additional file 3. Figure 4 and Additional file 4 display aORs for the association between GWG z−scores and stillbirth, stratified by obesity severity (class 1 obesity versus classes 2 and 3 obesity). The mean GWG z−scores among mothers of live births differed by obesity severity (class 1 obese: − 0.17 (SD 0.9); classes 2–3 obese: 0.09 (SD 0.7)). Similar to main analyses, the odds of stillbirth were elevated for women with obesity and GWG z−scores ≤ − 0.5 SD (e.g., aOR for z−score of − 1.5 SD among women with class 1 obesity: 1.64 (95% CI 0.96, 2.80); among women with classes 2–3 obesity: 1.52 (95% CI 0.73, 3.17)). However, associations were imprecise. GWG z−scores > 0 SD were not associated with stillbirth among women with class 1 obesity. Among women with classes 2–3 obesity, the odds of stillbirth were slightly reduced for GWG z−scores ≥1 SD, but confidence intervals overlapped the null (e.g., aOR for GWG z−score of 2 SD: 0.63 (95% CI 0.10, 3.99)).
Results from additional sensitivity analyses are shown in Additional files 5, 6, and 7. Results from most sensitivity analyses were similar to the main models. For instance, results were similar to main analyses after restricting to stillbirths estimated to have died ≤1 day or > 1 day before delivery, particularly for z-scores between − 2.5 and 1 SD. Point estimates for GWG z−scores ≥1.5 SD were slightly further from the null after restricting to stillbirths estimated to have died ≤1 day before delivery, while aORs for GWG z−scores ≥1.5 SD were slightly closer to the null when restricting to stillbirths estimated to have died > 1 day before delivery, though 95% CIs overlapped (Additional file 5). Associations between low GWG z−scores and stillbirth were somewhat attenuated when we restricted to stillbirths that were alive at their last prenatal visit and re-calculated GWG z−scores for these stillbirths using weight and GA at last prenatal visit (e.g., aOR for − 2 SD: 1.42 (95% CI 1.00, 2.02); Additional file 5). In contrast, associations between high GWG z−scores and stillbirth were stronger in this sensitivity analysis (e.g., aOR for 2 SD: 2.62 (95% CI 1.70, 4.04); Additional file 5). Associations from a sensitivity analysis excluding macerated stillbirths, as well as a sensitivity analysis excluding stillbirths with causes of death related to congenital anomalies or hematologic conditions, were similar to main analyses (Additional files 5 and 6). In models with intrapartum stillbirths only, aORs decreased with increasing GWG z−scores (aOR for GWG z−score of − 2.0: 1.50 (95% CI 0.87, 2.59); aOR for GWG z−score of 2.0: 0.62 (95% CI 0.22, 1.76)); however, confidence intervals were wide (Additional file 5).
Adjusted odds ratios for the association between GWG z−scores < 0 and stillbirth were similar in stillbirths delivered < 28 weeks as in stillbirths delivered ≥28 weeks (Additional file 5). In stillbirths ≥28 weeks only, the odds of stillbirth were elevated among women with very high GWG z−scores (e.g., aOR for 2.5 SD: 1.91 (95% CI 1.00, 3.64)). Associations among stillbirths < 37 weeks were similar to main analyses, but GWG z−score was not associated with the odds of stillbirth ≥37 weeks (Additional file 5). Findings for low GWG z−scores (i.e., z−scores < 0) were similar when we analyzed stillbirths by cause of death (i.e., when we restricted to stillbirths with placental abnormalities, restricted to stillbirths with maternal medical complications of pregnancy (excluding hypertension), and restricted to stillbirths with obstetric conditions; Additional file 7). However, findings for high GWG z−scores and stillbirth were slightly different by cause-of-death group. In analyses restricted to stillbirths with obstetric complications of pregnancy, very high GWG z−scores were associated with increased odds of stillbirth (e.g., aOR for z−score of 2 SD: 2.36 (95% CI 1.28, 4.35)). In contrast, associations between GWG z−scores > 0 and stillbirth were closer to the null in analyses restricted to stillbirths with maternal medical conditions excluding hypertension. Additional sensitivity analyses yielded comparable results to main analyses.

Discussion

Our analysis suggests that a low GWG z−score is associated with slightly increased odds of stillbirth, as compared to a referent GWG z−score of 0. Associations were strongest at very low GWG z−scores: for instance, the odds of stillbirth were elevated up to 2.36 times for GWG z−scores ≤ − 2.5 SD. However, associations were weaker near z−scores of 0, i.e., in GWG z−score ranges where the majority of pregnant women fall. High GWG z−score was not associated with the odds of stillbirth in the overall sample. In women with overweight BMI, the odds of stillbirth were increased at GWG z−scores ≥1 SD.
One pathway through which low GWG could influence stillbirth is through preterm labor [9, 23]. Low GWG is a risk factor for preterm delivery [9]. If a fetus cannot tolerate preterm labor, intrapartum stillbirth could occur [23]. Alternatively, the association between low GWG z−score and stillbirth may be driven by intrauterine growth restriction [7]. Beginning in the second trimester, low GWG z−score may be an indicator of poor fetal weight gain. However, we cannot determine whether poor fetal growth caused stillbirth or, alternatively, whether fetuses at higher risk of stillbirth simply stopped growing as a result of congenital or placental/intrauterine complications. However, it is unlikely that the associations between low GWG z−scores and stillbirth in our study were due to stillbirths with birth defects or hematologic conditions, as a sensitivity analysis excluding stillbirths with these conditions produced similar results to main analyses.
A “net” z−score (total GWG minus fetal, placental, and amniotic fluid weight) would allow a more thorough evaluation of the impact of fetal versus maternal weight gain, but there are no published “net GWG” percentiles from the referent populations we used. Our dataset also lacked information on weight of the placenta and amniotic fluid, which typically weigh 2–3 pounds combined [10], as well as on plasma volume.
High GWG z−score was not associated with the odds of stillbirth in our overall sample. Associations between high GWG z−score and risk factors for stillbirth, such as preeclampsia, may be weak in our study sample. In addition, although excess GWG has been linked to many adverse maternal outcomes [46, 31], a GWG level that is harmful for the mother may not always be harmful for the fetus [10].
In stratified analyses, our findings differed slightly by pre – pregnancy BMI category. Our sensitivity analyses also suggested that the association between high GWG z−score and stillbirth may differ between women with class 1 obesity versus classes 2–3 obesity. However, precision was limited in sensitivity analyses. We also lacked an adequate sample size to further separate women with class 2 obesity from women with class 3 obesity. Future research using larger sample sizes of women with classes 2–3 obesity could be informative.
Gestational weight gain z−score was not associated with the odds of stillbirth ≥37 weeks. In SCRN, stillbirths ≥37 weeks were less likely than stillbirths < 37 weeks to have probable or possible causes of death related to obstetric complications or hypertensive disorders [23]. Our analyses by cause of death are subject to certain limitations. We were unable to analyze all biologically relevant causes of fetal death, such as hypertensive disorders, due to inadequate sample size. We also lacked the sample size to restrict to stillbirths with only probable causes of death related to obstetric complications, maternal medical conditions, or placental disease; instead, we combined those with probable causes, possible causes, and present conditions [23].
Evidence on the association between GWG and stillbirth is sparse [1114, 32]. Johansson et al. recently evaluated the association between both early GWG (< 22 weeks) and total GWG and the risk of stillbirth ≥22 weeks [32] using GWG z−scores derived from a Swedish reference chart [33]. The authors found no association between early GWG or total GWG and stillbirth at most z−score ranges [32]. Point estimates at extreme z−scores suggested a possible association between very low GWG z−score (e.g., < − 2 SD) and reduced risk of stillbirth, as well as very high z−score (e.g., > 2 SD) and increased risk of stillbirth, but 95% CIs overlapped the null [32]. Johansson et al.’s findings of no association at GWG z−score ranges where the majority of pregnant women fall (i.e., between − 1.5 and 1.5 SD) are comparable to our findings. The four remaining previous studies of stillbirth had various limitations [1114]. All four were restricted to stillbirths ≥28 weeks (in concordance with the World Health Organization’s definition [15]); however, stillbirths at 20–27 weeks constitute half of stillbirths in the U.S. [1]. Furthermore, two studies excluded intrapartum stillbirths [11, 13], two did not account for GA in adjusted analyses [12, 14], and one excluded women with gestational diabetes or hypertensive disorders [11], which are plausible consequences of GWG [10]. Despite these methodological differences, our finding of an overall null association between high GWG z−score and stillbirth was in concordance with four of five previous studies [1113, 32]. Although our stratified analyses suggested a possible association between high GWG z−score and stillbirth among women with pre-pregnancy overweight or classes 2–3 obesity, future studies with larger sample sizes are necessary to make firm conclusions. Our observation showing increased odds of stillbirth at low GWG z−scores is consistent with trends from three previous reports [11, 13, 14], although confidence intervals from some prior studies overlapped the null [11, 13].
Analyzing the association between GWG and stillbirth is challenging given the relatively low incidence of stillbirth, need for high−quality data, and importance of properly accounting for GA. In our case−control study of stillbirth, we standardized for GA using the GWG z−score, which is straightforward to calculate [1820]. In addition to using GWG z−scores, Johansson et al. used an incidence density sampling approach to match stillbirths and live births on GA of last GWG measurement in a large prospective Swedish birth cohort of over 160,000 deliveries with detailed GWG data [32]. Survival analysis is another possible approach to evaluating the association between GWG and stillbirth in a cohort study while accounting for GA. However, prospective studies are impractical in many cases and require extremely large sample sizes for rare outcomes such as stillbirth.
Our analytic methods have limitations. We used GWG at delivery. Ideally, gestational weight gain should be measured shortly before fetal death occurs. However, bias due to time of measurement is likely limited in our study. Results from sensitivity analyses excluding macerated stillbirths, who may have notable discrepancies between fetal weight at death and delivery, were similar to main analyses. Furthermore, the mean interval between estimated GA at fetal death (as estimated by the SCRN timing-of-death algorithm [22]) and delivery was only 1.02 weeks (median: 0.29 weeks), and findings from sensitivity analyses restricted to stillbirths estimated to have died ≤1 day (versus > 1 day) before delivery were largely similar to main analyses. There may be some bias for stillbirths with a longer time interval between fetal death and delivery. Point estimates also shifted somewhat when we restricted to stillbirths who were alive at their last prenatal visit and re-calculated GWG z−scores for these stillbirths using weight and GA at last prenatal visit. However, overall trends were similar to main analyses. Of note, the preceding sensitivity analysis did not consider GWG occurring between the last prenatal visit and fetal death (mean time interval between last prenatal visit and fetal death was 2.5 (SD 3.2) weeks for stillbirths in the analysis). An additional limitation is that our analysis assumes that GWG z−score at delivery (which is used in the analysis) is equivalent to GWG z−score earlier in pregnancy. An ideal study design would compare GWG z-scores for stillbirths and live births at the same GA.
The GWG z−scores in our study, as derived from Hutcheon et al.’s cohort [1820], may not be entirely independent of gestational duration. A recent study found that GWG z−scores remained slightly correlated with GA when Hutcheon et al.’s z−score formulas were applied in the Consortium for Safe Labor study population [34]. This issue may arise if the relation between GWG and GA differs between Hutcheon et al.’s cohort and the study population of interest [34]. The GWG distribution in our study population does differ slightly from Hutcheon et al.’s cohort, as evidenced by the non – zero median GWG z−scores among SCRN control mothers. Our study population also differed in certain other ways from that of Hutcheon et al.; e.g., mothers in SCRN were slightly younger (mean maternal age in our dataset was 27.5 years, versus 29 years [1820]) and were more likely to be Hispanic. If GWG z−scores in our study remain correlated with GA, results for low GWG z−score and stillbirth could be biased up and away from the null. Still, Hutcheon et al.’s z−score charts have many strengths that are relevant to our study [1820]. Hutcheon et el.’s charts [1820] are available for all pre-pregnancy BMI categories (unlike certain other z−score charts [35]) and twins (unlike all other charts [33, 35, 36]), are derived from a U.S. population, and are based on a follow-up study with a large number of measured weights during pregnancy (in contrast, a recent published GWG z−score chart included cohorts with self-reported weight measurements during pregnancy [36]). Hutcheon et al.’s charts have recently been applied to the general U.S. population in studies of GWG and preterm birth [37, 38].
Thirteen percent of eligible live births and 14.7% of eligible stillbirths in our study had missing information on GWG or pre – pregnancy BMI. However, in sensitivity analyses, we used maternal weight at last prenatal visit as an estimate of delivery weight for more than 55% of observations missing delivery weight, and results were unchanged. We did not control for gestational diabetes, although a gestational diabetes diagnosis could plausibly influence women’s GWG in late pregnancy. This was a purposeful decision, as gestational diabetes may be an intermediate between GWG and stillbirth. Another potential weakness is an inability to control for all potential confounders due to limited sample size or lack of information on these factors (e.g., physical activity [39]). Lastly, our results may not be generalizable to certain women with multiple gestations (e.g., women with monochorionic twin pregnancies, triplets, or higher−order births).
Our study has many strengths. To our knowledge, it is the first analysis of GWG and stillbirth to evaluate cause-specific stillbirth, to include twins, and to examine differences by obesity severity. Furthermore, it is only the second analysis to utilize the GWG z−score and to include stillbirths at 20–27 weeks [32]. We conducted extensive sensitivity analyses evaluating how the timing and cause of fetal death, maceration level, and numerous other factors influenced results. Furthermore, SCRN sampled women from geographically and demographically diverse catchment areas and did not restrict to academic or tertiary care hospitals [21]. SCRN’s source population is also well−enumerated, with analysis weights that account for study design and probability of participation [21]. Finally, SCRN’s comprehensive data collection process provided detailed information on maternal covariates as well as timing and cause of fetal death [21].
Investigators have recently advocated for the widespread use of the GWG z−score in research (and ultimately, clinical) settings across diverse populations [18, 19, 34]. The GWG z−score’s predictive ability for stillbirth is likely limited due to the relatively modest aORs observed in our study. However, the z−score may prove useful for stillbirth in combination with other clinical measures, such as estimated fetal size. Results from our analyses suggest that very low GWG z−score may be a marker of poor fetal health.

Conclusions

Gaining at or below − 1.5 SD of GWG z−score may increase the odds of stillbirth.

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12884-019-2595-x.

Acknowledgments

We acknowledge the contribution of the Stillbirth Collaborative Research Network. We also acknowledge the following members of the National Institute of Child Health and Human Development Scientific Advisory and Safety Monitoring Board for their review of the study protocol, materials, and progress: Drs. Phillip Cato, James W. Collins, Jr., Terry Dwyer, William P. Fifer, John Ilkekis, Marc Incerpi, George Macones, Richard M. Pauli, Raymond W. Redline, and Elizabeth Thorn (chair), as well as all of the other physicians, study coordinators, and research nurses in the Stillbirth Collaborative Research Network. Lastly, we would like to acknowledge Dr. Corette Parker for her helpful comments on previous versions of the manuscript. None of the individuals named received any compensation for their contributions.
This study was reviewed and approved by the Institutional Review Boards of each of the participating sites (Brown University, Emory University, University of Texas Health Science Center at San Antonio, University of Texas Medical Branch at Galveston, University of Utah) and by the data coordinating center (RTI International) (IRB #: IRB00000764). Written informed consent was obtained from participants or from their legal guardians (if participants were minors).
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

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Anhänge

Supplementary information

Additional file 7. Adjusted Odds Ratios for GWG Z−scores and Stillbirth by Cause-of-Death Groupings. This table contains adjusted odds ratios for the association between GWG z−scores and stillbirth by cause-of-death groupings [23]. The first sensitivity analysis was restricted to stillbirths with a probable cause of death, possible cause of death, or present condition related to placental abnormalities. The second was restricted to stillbirths with a probable cause of death, possible cause of death, or present condition related to maternal medical conditions excluding hypertension [23]. The third was restricted to stillbirths with a probable cause of death, possible cause of death, or present condition related to obstetric conditions [23]. Selected GWG z−scores were compared to a referent z−score of 0. Adjusted models involved control for maternal sociodemographic, behavioral, and pregnancy characteristics.
Literatur
1.
Zurück zum Zitat MacDorman MF, Gregory EC. Fetal and perinatal mortality: United States, 2013. Natl Vital Stat Rep. 2015;64(8):1–24.PubMed MacDorman MF, Gregory EC. Fetal and perinatal mortality: United States, 2013. Natl Vital Stat Rep. 2015;64(8):1–24.PubMed
2.
Zurück zum Zitat Stillbirth Collaborative Research Network Writing Group. Association between stillbirth and risk factors known at pregnancy confirmation. JAMA. 2011;306(22):2469–79.CrossRef Stillbirth Collaborative Research Network Writing Group. Association between stillbirth and risk factors known at pregnancy confirmation. JAMA. 2011;306(22):2469–79.CrossRef
3.
Zurück zum Zitat de Bernis L, Kinney MV, Stones W, ten Hoope-Bender P, Vivio D, Leisher SH, Bhutta ZA, Gülmezoglu M, Mathai M, Belizán JM, et al. Stillbirths: ending preventable deaths by 2030. Lancet. 2016; 18 January 2016. [Epub ahead of print]. de Bernis L, Kinney MV, Stones W, ten Hoope-Bender P, Vivio D, Leisher SH, Bhutta ZA, Gülmezoglu M, Mathai M, Belizán JM, et al. Stillbirths: ending preventable deaths by 2030. Lancet. 2016; 18 January 2016. [Epub ahead of print].
4.
Zurück zum Zitat Hedderson MM, Gunderson EP, Ferrara A. Gestational weight gain and risk of gestational diabetes mellitus. Obstet Gynecol. 2010;115(3):597–604.CrossRef Hedderson MM, Gunderson EP, Ferrara A. Gestational weight gain and risk of gestational diabetes mellitus. Obstet Gynecol. 2010;115(3):597–604.CrossRef
5.
Zurück zum Zitat Swank ML, Caughey AB, Farinelli CK, Main EK, Melsop KA, Gilbert WM, Chung JH. The impact of change in pregnancy body mass index on the development of gestational hypertensive disorders. J Perinatol: official journal of the California Perinatal Association. 2014;34(3):181–5.CrossRef Swank ML, Caughey AB, Farinelli CK, Main EK, Melsop KA, Gilbert WM, Chung JH. The impact of change in pregnancy body mass index on the development of gestational hypertensive disorders. J Perinatol: official journal of the California Perinatal Association. 2014;34(3):181–5.CrossRef
6.
Zurück zum Zitat Macdonald-Wallis C, Tilling K, Fraser A, Nelson SM, Lawlor DA. Gestational weight gain as a risk factor for hypertensive disorders of pregnancy. Am J Obstet Gynecol. 2013;209(4):327.e321–17.CrossRef Macdonald-Wallis C, Tilling K, Fraser A, Nelson SM, Lawlor DA. Gestational weight gain as a risk factor for hypertensive disorders of pregnancy. Am J Obstet Gynecol. 2013;209(4):327.e321–17.CrossRef
7.
Zurück zum Zitat Siega-Riz AM, Viswanathan M, Moos MK, Deierlein A, Mumford S, Knaack J, Thieda P, Lux LJ, Lohr KN. A systematic review of outcomes of maternal weight gain according to the Institute of Medicine recommendations: birthweight, fetal growth, and postpartum weight retention. Am J Obstet Gynecol. 2009;201(4):339.e331–14.CrossRef Siega-Riz AM, Viswanathan M, Moos MK, Deierlein A, Mumford S, Knaack J, Thieda P, Lux LJ, Lohr KN. A systematic review of outcomes of maternal weight gain according to the Institute of Medicine recommendations: birthweight, fetal growth, and postpartum weight retention. Am J Obstet Gynecol. 2009;201(4):339.e331–14.CrossRef
8.
Zurück zum Zitat Odegard RA, Vatten LJ, Nilsen ST, Salvesen KA, Austgulen R. Preeclampsia and fetal growth. Obstet Gynecol. 2000;96(6):950–5.PubMed Odegard RA, Vatten LJ, Nilsen ST, Salvesen KA, Austgulen R. Preeclampsia and fetal growth. Obstet Gynecol. 2000;96(6):950–5.PubMed
9.
Zurück zum Zitat Oken E, Kleinman KP, Belfort MB, Hammitt JK, Gillman MW. Associations of gestational weight gain with short- and longer-term maternal and child health outcomes. Am J Epidemiol. 2009;170(2):173–80.CrossRef Oken E, Kleinman KP, Belfort MB, Hammitt JK, Gillman MW. Associations of gestational weight gain with short- and longer-term maternal and child health outcomes. Am J Epidemiol. 2009;170(2):173–80.CrossRef
10.
Zurück zum Zitat Institute of Medicine National Research Council Committee to Reexamine I. O. M. Pregnancy Weight Guidelines. The national academies collection: reports funded by National Institutes of Health. In: Rasmussen KM, Yaktine AL, editors. Weight gain during pregnancy: reexamining the guidelines. Washington (DC): National Academies Press (US), National Academy of Sciences; 2009. Institute of Medicine National Research Council Committee to Reexamine I. O. M. Pregnancy Weight Guidelines. The national academies collection: reports funded by National Institutes of Health. In: Rasmussen KM, Yaktine AL, editors. Weight gain during pregnancy: reexamining the guidelines. Washington (DC): National Academies Press (US), National Academy of Sciences; 2009.
11.
Zurück zum Zitat Nohr EA, Bech BH, Davies MJ, Frydenberg M, Henriksen TB, Olsen J. Prepregnancy obesity and fetal death: a study within the Danish national birth cohort. Obstet Gynecol. 2005;106(2):250–9.CrossRef Nohr EA, Bech BH, Davies MJ, Frydenberg M, Henriksen TB, Olsen J. Prepregnancy obesity and fetal death: a study within the Danish national birth cohort. Obstet Gynecol. 2005;106(2):250–9.CrossRef
12.
Zurück zum Zitat Rydhstrom H, Tyden T, Herbst A, Ljungblad U, Walles B. No relation between maternal weight gain and stillbirth. Acta Obstet Gynecol Scand. 1994;73(10):779–81.CrossRef Rydhstrom H, Tyden T, Herbst A, Ljungblad U, Walles B. No relation between maternal weight gain and stillbirth. Acta Obstet Gynecol Scand. 1994;73(10):779–81.CrossRef
13.
Zurück zum Zitat Stephansson O, Dickman PW, Johansson A, Cnattingius S. Maternal weight, pregnancy weight gain, and the risk of antepartum stillbirth. Am J Obstet Gynecol. 2001;184(3):463–9.CrossRef Stephansson O, Dickman PW, Johansson A, Cnattingius S. Maternal weight, pregnancy weight gain, and the risk of antepartum stillbirth. Am J Obstet Gynecol. 2001;184(3):463–9.CrossRef
14.
Zurück zum Zitat Taffel SM. Maternal weight gain and the outcome of pregnancy: United States, 1980. Vital Health Stat. 1986;Series 21(44):1–25. Taffel SM. Maternal weight gain and the outcome of pregnancy: United States, 1980. Vital Health Stat. 1986;Series 21(44):1–25.
16.
Zurück zum Zitat Hutcheon JA, Bodnar LM, Joseph KS, Abrams B, Simhan HN, Platt RW. The bias in current measures of gestational weight gain. Paediatr Perinat Epidemiol. 2012;26(2):109–16.CrossRef Hutcheon JA, Bodnar LM, Joseph KS, Abrams B, Simhan HN, Platt RW. The bias in current measures of gestational weight gain. Paediatr Perinat Epidemiol. 2012;26(2):109–16.CrossRef
17.
Zurück zum Zitat Institute of Medicine. Nutrition during pregnancy. Washington (DC): National Academies Press (US), National Academy of Sciences; 1990. Institute of Medicine. Nutrition during pregnancy. Washington (DC): National Academies Press (US), National Academy of Sciences; 1990.
18.
Zurück zum Zitat Hutcheon JA, Platt RW, Abrams B, Himes KP, Simhan HN, Bodnar LM. A weight-gain-for-gestational-age z score chart for the assessment of maternal weight gain in pregnancy. Am J Clin Nutr. 2013;97(5):1062–7.CrossRef Hutcheon JA, Platt RW, Abrams B, Himes KP, Simhan HN, Bodnar LM. A weight-gain-for-gestational-age z score chart for the assessment of maternal weight gain in pregnancy. Am J Clin Nutr. 2013;97(5):1062–7.CrossRef
19.
Zurück zum Zitat Hutcheon JA, Platt RW, Abrams B, Himes KP, Simhan HN, Bodnar LM. Pregnancy weight gain charts for obese and overweight women. Obesity (Silver Spring, Md). 2015;23(3):532–5.CrossRef Hutcheon JA, Platt RW, Abrams B, Himes KP, Simhan HN, Bodnar LM. Pregnancy weight gain charts for obese and overweight women. Obesity (Silver Spring, Md). 2015;23(3):532–5.CrossRef
20.
Zurück zum Zitat Hutcheon JA, Platt RW, Abrams B, Braxter BJ, Eckhardt CL, Himes KP, Bodnar LM. Pregnancy weight gain by gestational age in women with uncomplicated dichorionic twin pregnancies. Paediatr Perinat Epidemiol. 2018;32(2):172–80.CrossRef Hutcheon JA, Platt RW, Abrams B, Braxter BJ, Eckhardt CL, Himes KP, Bodnar LM. Pregnancy weight gain by gestational age in women with uncomplicated dichorionic twin pregnancies. Paediatr Perinat Epidemiol. 2018;32(2):172–80.CrossRef
21.
Zurück zum Zitat Parker CB, Hogue CJ, Koch MA, Willinger M, Reddy UM, Thorsten VR, Dudley DJ, Silver RM, Coustan D, Saade GR, et al. Stillbirth collaborative research network: design, methods and recruitment experience. Paediatr Perinat Epidemiol. 2011;25(5):425–35.CrossRef Parker CB, Hogue CJ, Koch MA, Willinger M, Reddy UM, Thorsten VR, Dudley DJ, Silver RM, Coustan D, Saade GR, et al. Stillbirth collaborative research network: design, methods and recruitment experience. Paediatr Perinat Epidemiol. 2011;25(5):425–35.CrossRef
22.
Zurück zum Zitat Conway DL, Hansen NI, Dudley DJ, Parker CB, Reddy UM, Silver RM, Bukowski R, Pinar H, Stoll BJ, Varner MW, et al. An algorithm for the estimation of gestational age at the time of fetal death. Paediatr Perinat Epidemiol. 2013;27(2):145–57.CrossRef Conway DL, Hansen NI, Dudley DJ, Parker CB, Reddy UM, Silver RM, Bukowski R, Pinar H, Stoll BJ, Varner MW, et al. An algorithm for the estimation of gestational age at the time of fetal death. Paediatr Perinat Epidemiol. 2013;27(2):145–57.CrossRef
23.
Zurück zum Zitat Stillbirth Collaborative Research Network Writing Group. Causes of death among stillbirths. JAMA. 2011;306(22):2459–68.CrossRef Stillbirth Collaborative Research Network Writing Group. Causes of death among stillbirths. JAMA. 2011;306(22):2459–68.CrossRef
24.
Zurück zum Zitat Harrell FE Jr, Lee KL, Pollock BG. Regression models in clinical studies: determining relationships between predictors and response. J Natl Cancer Inst. 1988;80(15):1198–202.CrossRef Harrell FE Jr, Lee KL, Pollock BG. Regression models in clinical studies: determining relationships between predictors and response. J Natl Cancer Inst. 1988;80(15):1198–202.CrossRef
25.
Zurück zum Zitat Bodnar LM, Hutcheon JA, Parisi SM, Pugh SJ, Abrams B. Comparison of gestational weight gain z−scores and traditional weight gain measures in relation to perinatal outcomes. Paediatr Perinat Epidemiol. 2015;29(1):11–21.CrossRef Bodnar LM, Hutcheon JA, Parisi SM, Pugh SJ, Abrams B. Comparison of gestational weight gain z−scores and traditional weight gain measures in relation to perinatal outcomes. Paediatr Perinat Epidemiol. 2015;29(1):11–21.CrossRef
26.
Zurück zum Zitat Bodnar LM, Siminerio LL, Himes KP, Hutcheon JA, Lash TL, Parisi SM, Abrams B. Maternal obesity and gestational weight gain are risk factors for infant death. Obesity (Silver Spring). 2016;24(2):490-8.CrossRef Bodnar LM, Siminerio LL, Himes KP, Hutcheon JA, Lash TL, Parisi SM, Abrams B. Maternal obesity and gestational weight gain are risk factors for infant death. Obesity (Silver Spring). 2016;24(2):490-8.CrossRef
27.
Zurück zum Zitat Dudley DJ, Goldenberg R, Conway D, Silver RM, Saade GR, Varner MW, Pinar H, Coustan D, Bukowski R, Stoll B, et al. A new system for determining the causes of stillbirth. Obstet Gynecol. 2010;116(2 Pt 1):254–60.CrossRef Dudley DJ, Goldenberg R, Conway D, Silver RM, Saade GR, Varner MW, Pinar H, Coustan D, Bukowski R, Stoll B, et al. A new system for determining the causes of stillbirth. Obstet Gynecol. 2010;116(2 Pt 1):254–60.CrossRef
28.
Zurück zum Zitat Dolan SM, Gross SJ, Merkatz IR, Faber V, Sullivan LM, Malone FD, Porter TF, Nyberg DA, Comstock CH, Hankins GD, et al. The contribution of birth defects to preterm birth and low birth weight. Obstet Gynecol. 2007;110(2 Pt 1):318–24.CrossRef Dolan SM, Gross SJ, Merkatz IR, Faber V, Sullivan LM, Malone FD, Porter TF, Nyberg DA, Comstock CH, Hankins GD, et al. The contribution of birth defects to preterm birth and low birth weight. Obstet Gynecol. 2007;110(2 Pt 1):318–24.CrossRef
29.
Zurück zum Zitat Vahratian A, Zhang J, Troendle JF, Savitz DA, Siega-Riz AM. Maternal prepregnancy overweight and obesity and the pattern of labor progression in term nulliparous women. Obstet Gynecol. 2004;104(5 Pt 1):943–51.CrossRef Vahratian A, Zhang J, Troendle JF, Savitz DA, Siega-Riz AM. Maternal prepregnancy overweight and obesity and the pattern of labor progression in term nulliparous women. Obstet Gynecol. 2004;104(5 Pt 1):943–51.CrossRef
30.
Zurück zum Zitat Allison DB, Paultre F, Goran MI, Poehlman ET, Heymsfield SB. Statistical considerations regarding the use of ratios to adjust data. Int J Obes Relat Metab Disord. 1995;19(9):644–52.PubMed Allison DB, Paultre F, Goran MI, Poehlman ET, Heymsfield SB. Statistical considerations regarding the use of ratios to adjust data. Int J Obes Relat Metab Disord. 1995;19(9):644–52.PubMed
31.
Zurück zum Zitat Johnson JW, Longmate JA, Frentzen B. Excessive maternal weight and pregnancy outcome. Am J Obstet Gynecol. 1992;167(2):353–70 discussion 370-352.CrossRef Johnson JW, Longmate JA, Frentzen B. Excessive maternal weight and pregnancy outcome. Am J Obstet Gynecol. 1992;167(2):353–70 discussion 370-352.CrossRef
32.
Zurück zum Zitat Johansson K, Hutcheon JA, Bodnar LM, Cnattingius S, Stephansson O. Pregnancy weight gain by gestational age and stillbirth: a population-based cohort study. BJOG. 2018;125(8):973-81.CrossRef Johansson K, Hutcheon JA, Bodnar LM, Cnattingius S, Stephansson O. Pregnancy weight gain by gestational age and stillbirth: a population-based cohort study. BJOG. 2018;125(8):973-81.CrossRef
33.
Zurück zum Zitat Johansson K, Hutcheon JA, Stephansson O, Cnattingius S. Pregnancy weight gain by gestational age and BMI in Sweden: a population-based cohort study. Am J Clin Nutr. 2016;103(5):1278-84.CrossRef Johansson K, Hutcheon JA, Stephansson O, Cnattingius S. Pregnancy weight gain by gestational age and BMI in Sweden: a population-based cohort study. Am J Clin Nutr. 2016;103(5):1278-84.CrossRef
34.
Zurück zum Zitat Hinkle SN, Mitchell EM, Grantz KL, Ye A, Schisterman EF. Maternal weight gain during pregnancy: comparing methods to address bias due to length of gestation in epidemiological studies. Paediatr Perinat Epidemiol. 2016;30(3):294–304.CrossRef Hinkle SN, Mitchell EM, Grantz KL, Ye A, Schisterman EF. Maternal weight gain during pregnancy: comparing methods to address bias due to length of gestation in epidemiological studies. Paediatr Perinat Epidemiol. 2016;30(3):294–304.CrossRef
35.
Zurück zum Zitat Cheikh Ismail L, Bishop DC, Pang R, Ohuma EO, Kac G, Abrams B, Rasmussen K, Barros FC, Hirst JE, Lambert A, et al. Gestational weight gain standards based on women enrolled in the fetal growth longitudinal study of the INTERGROWTH-21st project: a prospective longitudinal cohort study. BMJ (Clinical research ed). 2016;352:i555. Cheikh Ismail L, Bishop DC, Pang R, Ohuma EO, Kac G, Abrams B, Rasmussen K, Barros FC, Hirst JE, Lambert A, et al. Gestational weight gain standards based on women enrolled in the fetal growth longitudinal study of the INTERGROWTH-21st project: a prospective longitudinal cohort study. BMJ (Clinical research ed). 2016;352:i555.
36.
Zurück zum Zitat Santos S, Eekhout I, Voerman E, Gaillard R, Barros H, Charles MA, Chatzi L, Chevrier C, Chrousos GP, Corpeleijn E, et al. Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania. BMC Med. 2018;16(1):201.CrossRef Santos S, Eekhout I, Voerman E, Gaillard R, Barros H, Charles MA, Chatzi L, Chevrier C, Chrousos GP, Corpeleijn E, et al. Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania. BMC Med. 2018;16(1):201.CrossRef
37.
Zurück zum Zitat Leonard SA, Hutcheon JA, Bodnar LM, Petito LC, Abrams B. Gestational weight gain-for-gestational age z-score charts applied across U.S. populations. Paediatr Perinat Epidemiol. 2018;32(2):161–71.CrossRef Leonard SA, Hutcheon JA, Bodnar LM, Petito LC, Abrams B. Gestational weight gain-for-gestational age z-score charts applied across U.S. populations. Paediatr Perinat Epidemiol. 2018;32(2):161–71.CrossRef
38.
Zurück zum Zitat Leonard SA, Petito LC, Stephansson O, Hutcheon JA, Bodnar LM, Mujahid MS, Cheng Y, Abrams B. Weight gain during pregnancy and the black-white disparity in preterm birth. Ann Epidemiol. 2017;27(5):323–328.e321.CrossRef Leonard SA, Petito LC, Stephansson O, Hutcheon JA, Bodnar LM, Mujahid MS, Cheng Y, Abrams B. Weight gain during pregnancy and the black-white disparity in preterm birth. Ann Epidemiol. 2017;27(5):323–328.e321.CrossRef
39.
Zurück zum Zitat Ruiz JR, Barakat R, Lucia A. Re: “associations of gestational weight gain with short- and longer-term maternal and child health outcomes”. Am J Epidemiol. 2009;170(12):1581.CrossRef Ruiz JR, Barakat R, Lucia A. Re: “associations of gestational weight gain with short- and longer-term maternal and child health outcomes”. Am J Epidemiol. 2009;170(12):1581.CrossRef
Metadaten
Titel
The association between gestational weight gain z-score and stillbirth: a case-control study
verfasst von
Cassandra M. Pickens
Carol J. Hogue
Penelope P. Howards
Michael R. Kramer
Martina L. Badell
Donald J. Dudley
Robert M. Silver
Robert L. Goldenberg
Halit Pinar
George R. Saade
Michael W. Varner
Barbara J. Stoll
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Pregnancy and Childbirth / Ausgabe 1/2019
Elektronische ISSN: 1471-2393
DOI
https://doi.org/10.1186/s12884-019-2595-x

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