Gestational weight gain and adverse pregnancy outcomes: a prospective cohort study.

OBJECTIVE: To assess the associations of gestational weight gain (GWG) in early and late pregnancy with subsequent risks of adverse pregnancy outcomes in Chinese women.
DESIGN: Prospective cohort study.
SETTING: Shanghai, China. PARTICIPANTS: We studied 2630 nulliparous singleton pregnant women with complete data on weight gain in early (≤17 weeks of gestation) and late (>17 weeks) pregnancy in the Shanghai Birth Cohort.
METHODS: GWG was standardised into z-scores by gestational age and categorised as low (z-score <-1), normal (-1 to +1) and high (>1). The adjusted relative risks (aRRs) and 95%CIs were estimated through log-binomial regression models. Interaction effects between GWG and some other adjustment factors were tested, further stratified analyses were performed separately where interaction terms were significant. OUTCOME MEASURES: Adverse maternal and neonatal outcomes.
RESULTS: Independent from GWG in late pregnancy, higher GWG in early pregnancy was associated with higher risks of gestational diabetes mellitus (aRR: 1.66; 95% CI: 1.11 to 2.48), caesarean section (aRR: 1.21; 95% CI: 1.05 to 1.39) and prolonged hospitalisation (aRR: 1.56; 95% CI: 1.03 to 2.38). Higher GWG in late pregnancy was independently associated with higher risks of caesarean section (aRR: 1.24; 95% CI: 1.09 to 1.41), large for gestational age (aRR: 2.01; 95% CI: 1.50 to 2.7) and macrosomia (aRR: 1.90; 95% CI: 1.30 to 2.78). In addition, the risk of gestational hypertension increased significantly with increased total GWG (aRR: 1.78; 95% CI: 1.14 to 2.76). The effects of GWG in late pregnancy on maternal and neonatal outcomes were significantly different between the women bearing a female and the women bearing male fetus.
CONCLUSION: The GWG associations with adverse pregnancy outcomes differ at early and late pregnancy, and there may be effect modification by fetal sex in the association of GWG in late pregnancy with some pregnancy outcomes. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Weight gain data collected before and during pregnancy enabled us to investigate the effect of timing of weight gain on the outcomes.

The use of z-scores instead of original weight gain value to account for the gestational-age-dependent nature of gestational weight gain allowed us to differentiate the effect caused by weight gain from the effect caused by duration of pregnancy.

Effect modification by fetal sex was investigated.

Only short-term rather than long-term pregnancy outcomes were investigated.

Prepregnancy weight was self-reported rather than measured.

Introduction

Gestational weight gain (GWG) has been associated with pregnancy outcomes. Insufficient weight gain has been linked with increased risks of low birth weight, small for gestational age (SGA) and preterm birth, while excessive weight gain has been associated with large for gestational age (LGA), gestational diabetes mellitus (GDM), pre-eclampsia, preterm birth, caesarean section, infant mortality and childhood obesity.1 2 However, although women are routinely weighed in clinical settings and receive GWG advice,3 4 a high proportion of pregnant women gain above or below GWG weight ranges recommended by the guidelines.5 Based on data collected from 23 studies involving more than 1.3 million women, GWG was below or above the weight gain range suggested by Institute of Medicine (IOM) guidelines in 23% and 47% of pregnancies, respectively,1 and the prevalence of excess GWG appears to be on the rise.6

It is well established that total GWG affects pregnancy outcomes.7 Some studies suggest that GWG during early pregnancy may be more important than GWG at late pregnancy for developing certain pregnancy outcomes such as GDM and adverse cardiometabolic profile in the offspring.8–11 Overall, studies examining associations of early GWG with perinatal outcomes have been relatively few, and these studies have often not accounted for the effects of weight gain during other periods of pregnancy.12

In a Chinese population-based study, our objective was to explore the association of GWG during early and late pregnancy with maternal and neonatal outcomes.

Materials and methods

Study design and data source

This prospective cohort study is based on the recently developed Shanghai Birth Cohort (SBC), which has been described in details elsewhere.13 Briefly, the SBC is a prospective observational study conducted in Shanghai, China, aiming to examine the factors affecting fecundability, pregnancy outcomes, child growth and development, and risks of diseases. The cohort recruited 4127 women in preconception care (701) or early antenatal care (3426). Written informed consent was obtained from the participants. The data were collected between 1st September 2013 and 31st November 2016, resulting in 3699 live births. The collected data included maternal demographical characteristics, health behaviours, reproductive history, as well as clinical information related to pregnancy, birth and pregnancy outcomes.

Study population

The present study collected the data from all singleton pregnancies in women with age ≥20 years old who started antenatal care before 17 weeks of gestation and delivered at ≥28 weeks of gestation with data available on weight gains in early and late gestation in the SBC.

Gestational age was estimated based on the date of last menstruation period and confirmed by first trimester ultrasound date. The eligible data collected in this study were obtained from: (1) self-reported prepregnancy weight (kg), (2) weight and height (cm) measured in early pregnancy (17 weeks of gestation or less) and (3) weight measured within the last week of pregnancy. Subjects were excluded if: (1) weight in early pregnancy <30 kg or >350 kg or (2) z-score of GWG <−4.0 or >4.0, the methods used in the study were similar to the study conducted by Johansson et al.14 Women with pre-existing medical conditions such as pregestational diabetes, hypothyroidism or hyperthyroidism (affecting GWG)15 and heart/liver/kidney diseases were also excluded.

Weight measurements

Prepregnancy weight (kg) was based on self-reporting, while weight at early pregnancy and at delivery was routinely measured to the nearest 0.1 kg using the available electronic weighing device in the prenatal care clinics. Height (cm) at the first prenatal visit was routinely measured to the nearest 0.1 cm using the available electronic stadiometer in the hospital. Prepregnancy body mass index (BMI; kg/m2) was calculated as prepregnancy weight (kg) divided by height (m)2 and categorised as underweight (<18.5 kg/m2), normal weight (18.5 to 24.9 kg/m2), overweight (25.0 to 29.9 kg/m2) and obese (≥30.0 kg/m2).16

The 2009 IOM recommendations suggested 0.5–2 kg weight gain for women in the first trimester (0–13 weeks)5 and the 50th centile GWG for women at gestational age ≤17 weeks is below 2 kg according to the INTERGROWTH-21st Project.2 However, early pregnancy in this study was defined as gestational age ≤17 weeks so as to include virtually all women who started the first antenatal care in the hospital.17 In addition, the 2009 IOM recommendations suggested total GWG of 12.5–18 kg for women with prepregnancy BMI less than 18.5 (underweight); 11.5–16 kg for those with BMI of 18.5–24.9 (normal weight); 7–11.5 kg for those with an initial BMI of 25.0–29.9 (overweight) and 5–9 kg for those with an initial BMI greater than 30.0 (obese).5 In this study, due to the sporadic number of obese women, we analyse them together with overweight women. We examined GWG in early pregnancy (the last weight measured ≤17 weeks minus prepregnancy weight) and late pregnancy (last measurement of weight prior to delivery minus the last weight measured ≤17 weeks). Total GWG was calculated as last measurement of weight before delivery minus prepregnancy weight. All GWG values were standardised into z-scores by gestational age, stratified by BMI categories. The means and SD of GWGs in early pregnancy and late pregnancy were used to convert the GWG values into z-scores. All GWG z-scores were first examined as continuous variables, and then categorised as <−1.0 (below), −1.0 to +1.0 (average) and >+1.0 (above) in data analyses. Previous studies suggested different associations of gestational stage-specific weight gain with maternal and neonatal outcomes.8 For example, weight gain in early pregnancy is associated with offspring BMI, whereas weight gain in mid pregnancy tended to be associated with the offspring’s metabolic and inflammatory biomarkers.5 8 Thus, to disentangle the associations of other periods of GWG with pregnancy outcomes from GWG in specific periods, we restricted the analyses for GWG in early pregnancy in women whose GWGs in late pregnancy were average (−1.0 to +1.0). Similarly, the analyses for late pregnancy weight gain were restricted to women with weight gain value in early pregnancy within −1.0 to +1.0.

Covariates

Covariables included fetal sex, maternal age (20–34, ≥35 years), parity (0, ≥1), prepregnancy BMI categories (underweight, normal and overweight/obese), alcohol/tobacco use (yes or no), GDM (yes or no), gestational hypertension (yes or no) and length of gestation (28–36, ≥37 weeks).

Outcomes

The outcomes included GDM, pregnancy-induced hypertension (PIH), caesarean section, preterm birth, neonatal intensive care unit admission, neonatal prolonged hospitalisation (≥5 days), severe neonatal outcomes, neonatal hyperbilirubinemia (≤12 mg/dL), LGA, SGA, macrosomia (>4000 g) and low birth weight (<2500 g).

All women received a 75 g Oral Glucose Tolerance Test during 24–28 weeks of gestation. GDM was diagnosed according to the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria: if anyone had the glucose values fell at or above the following thresholds: fasting 5.1 mmol/L, 1 hour 10.0 mmol/L and 2 hour 8.5 mmol/L. PIH was defined as de novo hypertension (systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg) after 20 weeks of gestation. Preterm birth was defined as gestational age at delivery <37 weeks. SGA was defined as birth weight ≤10th percentile, and LGA as birth weight ≥90th percentile according to Chinese sex-specific and gestational age-specific birth weight standards.18 Severe neonatal outcomes included death, 5 min APGAR Score <7, hypoglycaemic (<40 mg/dL), sepsis, cardiopulmonary resuscitation or ventilator support within 24 hours after birth, severe respiratory disorders (respiratory distress syndrome or transient tachypnea of the newborn), serious birth defects, seizures, necrotising enterocolitis and hypoxic-ischaemic encephalopathy.

Statistical analyses

Maternal demographic characteristics and clinical factors were compared across GWG groups. Continuous variables were described by mean with SD or median with IQR. Categorical variables were described by frequencies (%). Analysis of variance or Kruskal-Wallis H tests were performed for continuous data, and χ2 tests or Fisher’s exact tests were performed for categorical data.

The incidence of adverse pregnancy outcomes were examined among three GWG groups. Multivariate log-binomial regression models were used to estimate the unadjusted relative risks (RRs), adjusted RRs (aRRs) and 95% CIs of adverse pregnancy outcomes across GWG groups. Regression model for maternal outcomes were adjusted for only covariables with p<0.2 (maternal age, parity, prepregnancy BMI, alcohol/tobacco use, fetal sex and length of gestation). Women with GDM or PIH have long been known to be at increased risk for adverse neonatal outcomes, including neonatal intensive care admission, caesarean section, preterm delivery <37 weeks and neonatal morbidity.19 20 As a result, neonatal outcomes models were further adjusted for GDM and pregnancy-induced hypertension in addition to the afore-mentioned factors. The effects between weight gain and fetal sex and other covariates on adverse neonatal outcomes were also investigated. Interaction effects between GWG and fetal sex and other covariates (parity, maternal prepregnancy BMI and maternal age) on adverse maternal and neonatal outcomes were also tested.

All analyses were performed using the Statistical Analysis System (SAS) for Windows, V.9.4 (SAS Institute). P value <0.05 was considered statistically significant.

Patient and public involvement

No patients were involved in the design, or conduct, or reporting, or dissemination plans of our research.

Results

Study population and characteristics

A total of 2630 pregnant women met the study inclusion criteria (figure 1). The characteristics of all pregnant women in the study by total GWG are shown in table 1. Among them, 1605 women who gained average weight in late pregnancy (z-score −1 to +1) were analysed for the association of GWG in early pregnancy with the outcomes (online supplementary table S1); while 1717 women who gained average weight in early pregnancy were analysed for the association of GWG in late pregnancy with the outcomes (online supplementary table S2). It should be noticed that for the two analytic datasets, the reference group was the same group of women who had average GWG in both early and late pregnancy (n=1233).

Figure 1

Study flow chart.

Table 1

Characteristics of pregnant women in the study cohort (n=2630)

Characteristic	Total	Total GWG
		Below(n=392)	Average(n=1842)	Above(n=396)	P value
Maternal age (year), mean±SD	29.4±3.6	29.9±3.8	29.4±3.5	28.5±3.6	<0.0001
Maternal age ≥35 years, n (%)	241 (9.2)	51 (13)	169 (9.2)	21 (5.3)	0.0002
Nulliparous, n (%)	2216 (84.3)	325 (82.9)	1532 (83.2)	359 (90.7)	0.0027
Education, university degree and above, n (%)	2404 (91.5)	362 (92.6)	1702 (92.5)	340 (85.7)	0.0007
ART, n (%)	55 (2.1)	9 (2.3)	37 (2)	9 (2.3)	0.9834
Tobacco smoking, n (%)	72 (2.7)	7 (1.8)	41 (2.2)	24 (6.1)	<0.0001
Alcohol use, n (%)	338 (12.9)	52 (13.3)	240 (13)	46 (11.6)	0.7221
Prepregnancy BMI (kg/m2), mean±SD	21.3±3.0	21.7±3.1	21.2±3.0	21.5±2.9	0.0139
Prepregnancy BMI categories, n (%)
Underweight (<18.5 kg/m2)	396 (15.1)	54 (13.8)	292 (15.9)	50 (12.6)	0.7530
Normal weight (18.5–24.9 kg/m2)	1980 (75.3)	298 (76)	1372 (74.5)	310 (78.3)
Overweight and obese (≥25 kg/m2)	254 (9.7)	40 (10.2)	178 (9.7)	36 (9.1)
Gestational age at the first prenatal visit (week), median (IQR)	15 (3)	14 (3)	15 (3)	15 (3)	0.1986
GWG in early pregnancy by BMI categories (kg), mean±SD
All women	2.2±2.9	−0.2±2.8	2.1±2.2	4.9±3.2	<0.0001
Underweight (<18.5 kg/m2)	2.5±2.4	0.9±1.9	2.4±2.0	4.8±3.0	<0.0001
Normal weight (18.5–24.9 kg/m2)	2.3±2.8	0.0±2.8	2.2±2.2	4.9±3.1	<0.0001
Overweight and obese (≥25 kg/m2)	1.4±3.6	−2.2±3.3	1.5±2.6	4.7±4.4	<0.0001
GWG in late pregnancy by BMI categories (kg), mean±SD
All women	13.0±3.5	8.2±3.0	12.6±2.9	17.8±3.6	<0.0001
Underweight (<18.5 kg/m2)	13.0±3.5	8.9±1.9	12.8±2.5	18.2±3.8	<0.0001
Normal weight (18.5–24.9 kg/m2)	12.9±4.0	8.4±3.0	12.8±2.8	17.8±3.6	<0.0001
Overweight and obese (≥25 kg/m2)	11.0±4.9	5.8±3.3	10.8±3.8	17.4±3.8	<0.0001
GWG in whole pregnancy by BMI categories (kg), mean±SD
All women	15.0±4.9	8.1±2.6	14.8±2.7	22.7±2.9	<0.0001
Underweight (<18.5 kg/m2)	15.4±4.2	9.7±1.6	15.2±2.3	23.1±3.0	<0.0001
Normal weight (18.5–24.9 kg/m2)	15.2±4.7	8.4±2.1	15.0±2.5	22.7±2.8	<0.0001
Overweight and obese (≥25 kg/m2)	12.3±6.1	3.7±2.4	12.3±3.7	22.0±3.6	<0.0001
Gestational age at delivery (week), median (IQR)	39 (2)	39 (2)	39 (2)	39 (2)	0.0793
Birth weight (g), mean±SD	3376±450	3238±422	3370±438	3540±480	<0.0001
Male infant, n (%)	1334 (51.4)	194 (50.4)	945 (52)	195 (49.5)	0.7951

ART, assisted reproductive technology; BMI, body mass index; GWG, gestational weight gain.

Weight gain during early pregnancy

The risks of maternal and neonatal outcomes for GWG in early pregnancy are presented in figure 2A and online supplementary table S3. Lower GWG was not significantly associated with pregnancy outcomes, compared with the average GWG. In contrast, the risks of GDM (aRR=1.66; 95% CI: 1.11 to 2.48), caesarean section (aRR=1.21; 95% CI: 1.05 to 1.39) and prolonged hospitalisation (aRR=1.56; 95% CI: 1.03 to 2.38) were higher in the group with GWG above average in early pregnancy. No significant interactions between GWG in early pregnancy and covariates were observed.

Figure 2

Associations of GWG with pregnancy outcomes. (A) Associations of early GWG (≤17 weeks) with pregnancy outcomes. (B) Associations of late GWG (>17 weeks) with pregnancy outcomes. (C) Associations of total GWG with pregnancy outcomes. Average GWG group as the reference. a1The analysis was adjusted for maternal age, parity, prepregnancy BMI and length of gestation. b1The analysis was adjusted for parity, prepregnancy BMI, fetal sex, GDM and PIH. c1The analysis was adjusted for prepregnancy BMI, fetal sex, alcohol/tobacco use, length of gestation, GDM and PIH. d1The analysis was adjusted for maternal age, alcohol/tobacco use, GDM and PIH. a2The analysis was adjusted for maternal age and prepregnancy BMI. b2The analysis was adjusted for parity, prepregnancy BMI, fetal sex and length of gestation. c2The analysis was adjusted for maternal age, parity, prepregnancy BMI, GDM and PIH. d2The analysis was adjusted for parity, prepregnancy BMI, fetal sex, GDM and PIH. e2The analysis was adjusted for parity, prepregnancy BMI, alcohol/tobacco use, length of gestation, GDM and PIH. f2The analysis was adjusted for maternal age, alcohol/tobacco use and length of gestation. a3The analysis was adjusted for maternal age, parity, prepregnancy BMI, alcohol/tobacco use and fetal sex. b3The analysis was adjusted for parity, prepregnancy BMI and length of gestation. c3The analysis was adjusted for parity, prepregnancy BMI, length of gestation, GDM and PIH. d3The analysis was adjusted for maternal age, parity and length of gestation. e3The analysis was adjusted for prepregnancy BMI, fetal sex, length of gestation, GDM and PIH. BMI, body mass index; GDM, gestational diabetes mellitus; GWG, gestational weight gain; LGA, large for gestational age; NICU, neonatal intensive care unit; PIH, pregnancy-induced hypertension; SGA, small for gestational age.

Weight gain during late pregnancy

Associations of GWG in late pregnancy with perinatal outcomes are presented in figure 2B and online supplementary table S4. In contrast to early pregnancy, the risks for GDM and SGA decreased significantly with increased GWG in late pregnancy, whereas the risks for LGA and macrosomia increased. Weight gain above average was correlated with a higher risk for caesarean section (aRR=1.24; 95% CI: 1.09 to 1.41) in late pregnancy. In addition, higher GWG showed a protective effect against neonatal hyperbilirubinemia (aRR=0.64; 95% CI: 0.43 to 0.94).

Significant interactions were identified between GWG in late pregnancy and fetal sex. Figure 3 and online supplementary table S5 show the associations of late pregnancy weight gain with pregnancy outcomes stratified by fetal sex. The risks for LGA and caesarean section significantly increased in women with higher GWG in late pregnancy, but the risk of GDM increased with less GWG, regardless of fetal sex. However, higher risks of gestational hypertension (aRR=2.31; 95% CI: 1.08 to 4.95) were only observed in women bearing a female fetus with higher GWG. Conversely, higher GWG in late pregnancy was associated with GDM (aRR=0.30; 95% CI: 0.10 to 0.96), neonatal hyperbilirubinemia (aRR=0.46; 95% CI: 0.24 to 0.89) and macrosomia (aRR=2.05; 95% CI: 1.27 to 3.31) for women bearing a boy, but not for women bearing a girl, indicating effect modifications by fetal sex. But when stratified by fetal sex, the lower risk of SGA with higher GWG was no longer observed.

Figure 3

Associations of late GWG (>17 weeks) with pregnancy outcomes, stratified by fetal sex. Average GWG group as the reference. aThe analysis was adjusted for maternal age and prepregnancy BMI. bThe analysis was adjusted for maternal age, parity, prepregnancy BMI, alcohol/tobacco use and length of gestation. cThe analysis was adjusted for maternal age, prepregnancy BMI, GDM and PIH. dThe analysis was adjusted for parity, prepregnancy BMI, alcohol/tobacco use and length of gestation. eThe analysis was adjusted for parity, alcohol/tobacco use, length of gestation, GDM and PIH. fThe analysis was adjusted for parity, prepregnancy BMI, length of gestation, GDM and PIH. BMI, body mass index; GDM, gestational diabetes mellitus; GWG, gestational weight gain; LGA, large for gestational age; NICU, neonatal intensive care unit; PIH, pregnancy-induced hypertension; SGA, small for gestational age.

Total weight gain during pregnancy

Figure 2C and online supplementary table S6 show results for pregnancy outcomes by total GWG. The effect sizes of GWG in late pregnancy on pregnancy outcomes were almost identical with the effect sizes of total GWG. Similar to late pregnancy, the risks for LGA, macrosomia and gestational hypertension increased significantly with increased total GWG. Higher GWG was also linked with a higher risk for caesarean section (aRR=1.78; 95% CI: 1.14 to 2.76). Moreover, total GWG below the average was associated with higher risks of GDM (aRR=1.51; 95% CI: 1.15 to 1.98) and SGA (aRR=1.53; 95% CI: 1.01 to 2.32). No significant interactions between total GWG and other covariates were identified.

Discussion

Main findings

In this study, we found different associations of gestational stage-specific weight gain with maternal and neonatal outcomes. Of those, independent of GWG in late pregnancy, higher GWG in early pregnancy was associated with higher risks of GDM, caesarean section and neonatal prolonged hospitalisation.

Strengths and limitations

There are strengths in our study. In the study, some improvements have been made when compared with other studies reported in the literature. First, the SBC database contains detailed clinical data including prepregnancy weight, weight measurements during pregnancy and pregnancy weight measurements before delivery. This made it possible to study GWG in both early and late pregnancy. In addition, it is difficult to disentangle the effects of GWG on adverse pregnancy outcomes from the effects of the gestation duration, because GWG is highly correlated with the gestational duration. However, the use of GWG z-scores in our study can overcome this limitation. This method ensured that the weight gain of women who experience adverse pregnancy outcomes would be compared with the weight gain of women without adverse outcomes at the same point in pregnancy.14 21

There are also limitations in our study. We only investigated the short-term perinatal outcomes. Recently, researchers have linked an individual’s susceptibility to chronic disease such as cardiometabolic disease and obesity in later life to events during the intrauterine phase of development.8 22 23 Further studies on long-term outcomes would provide important evidence regarding the associations between chronic diseases and events during the intrauterine phase.

Interpretation

Associations between insufficient or excessive weight gain during the whole pregnancy and maternal and child health outcomes have been well described.1 2 7 A meta-analysis of pooled 1 309 136 participant data from 23 cohort studies showed that women who gained high weight were more likely to have LGA, caesarean section and macrosomia, while women who gained less weight were at higher risk of SGA.1 These findings are in line with the association of maternal weight gain with adverse pregnancy outcomes in our study.

There is growing recognition that the impacts of gestational stage-specific weight gain on pregnancy outcomes may vary.8 9 22 24 25 GWG in early pregnancy largely reflects maternal fat deposition, whereas GWG, thereafter, is mainly attributed to maternal and amniotic fluid expansion, and growth of the fetus, placenta and uterus.5 In this study, mothers with increased fat deposition during pregnancy may affect the adiposity of the offspring by higher placental transfer of nutrients, such as glucose and free fatty acids, which may lead to maternal pregnancy complications, such as GDM, and permanent fetal and childhood adaptations in appetite, energy metabolism and neuroendocrine function.25 26 Therefore, GWG in early pregnancy, prior to the development of pregnancy outcomes, might be as or more important than GWG in late pregnancy with respect to pregnancy outcomes.9 14 A study of 5908 Netherlands mother–offspring pairs reported that higher weight gain in early pregnancy was associated with an adverse cardiometabolic profile in the offspring.8 Similarly, a study of 5154 UK mother–offspring pairs showed that GWG in the first 14 weeks tended to be incrementally associated with offspring BMI, waist circumference and fat mass in children at age 9 years, but after 14 weeks of gestation, only high levels of GWG were associated with offspring’s adiposity measures, highlighting the importance of the timing of weight gain in pregnancy.24

Studies to clarify the relationship between gestational stage-specific weight gain and adverse pregnancy outcomes have been sporadic. A study of Korean pregnant women found that GWG velocity at early pregnancy was significantly associated with GDM, gestational hypertension, caesarean section, LGA and macrosomia.12 However, the analyses have not accounted for the effects of weight gain in other periods of pregnancy. In contrast, our analyses for early/late pregnancy GWG were restricted to women whose GWG z-scores in other pregnancy stage were normal, and thus the observed associations are independent of GWG in different periods. Our data from a large population-based Chinese Cohort in Shanghai showed that higher, but not lower, maternal GWG in early pregnancy was associated with increased risks of adverse pregnancy outcomes, including GDM, caesarean section and prolonged hospitalisation. In late pregnancy, low weight gain was associated with GDM as well as SGA, and high weight gain was associated with caesarean section, LGA and macrosomia.

High GWG in early pregnancy has been associated with an increased risk of GDM, while there are some inconsistent data concerning the associations of GWG in second and third trimester or the whole pregnancy with GDM.11 27–29 Our study presents results that are inconsistent with results produced by other studies12 27 30 indicating that higher GWG in early pregnancy may increase the risk of developing GDM, but higher GWG in late pregnancy shows a reversed association. The discrepancy might be due to that women diagnosed with GDM might have undergone weight control interventions such as prescribed diet and physical exercise after the GDM diagnosis. Avoiding high weight gain in early pregnancy may prevent GDM, and health professionals who assist prenatal care might consider pre-emptive actions in high-risk pregnant women.

The risk of gestational hypertension increases significantly with higher maternal total GWG. A study of 29 861 women from 25 hospitals in USA showed that early weight gain over the 2009 IOM recommendation was shown to be associated with the development of gestational hypertension.31 In a study of 101 259 women with chronic hypertension, women who gained the amount of weight above the GWG range recommended by IOM guidelines were at increased risks of eclampsia.32 Given the known vascular permeability and decreased plasma oncotic pressure that accompanies pre-eclampsia and its association with rapid weight gain,33 excessive GWG may be a cause of hypertensive disease of pregnancy.

Total GWG on average (−1 to +1) in our study was 15.2±2.3 kg for women with prepregnancy BMI less than 18.5 (underweight) and 15.0±2.5 kg for those who with prepregnancy BMI of 18.5–24.9 (normal weight), which corresponded to the 2009 IOM recommendations. Specifically, the 2009 IOM recommendations suggested GWG of 12.5–18 kg for underweight women and 11.5–16 kg for normal weight women.5 However, due to the sporadic number of obese women, we analysed them together with overweight women. Total GWG on average was 12.3±3.7 kg for women with prepregnancy BMI greater than 25.0 (overweight and obese) in our study, which in general was higher than the 2009 IOM recommended GWG range with 7–11.5 kg for overweight and 5–9 kg for obese.5 The most important reason for this difference is that the IOM recommendation was derived largely from data collected among white women and may not well represent Chinese population.34 Therefore, we plan to establish GWG standards that can be applied to Chinese population.

Our data suggest effect modification by fetal sex in the association of GWG in late pregnancy with birth outcomes. Recent studies suggest that fetus sex may affect pregnancy outcomes.35 36 Although not very clear, how fetal sex may influence these outcomes may be explained by several factors. The placenta is an active endocrine organ, a sex-specific maternal–placental–fetal interaction may be involved.24 Animal studies suggest that maternal baseline BMI and GWG are associated with the hormonal milieu, including insulin resistance.37 In agreement with this concept, a growing body of evidence link early pregnancy GWG with cord blood hormones that may affect fetal growth and development.38 Previous studies reported fetal sex differences in maternal first trimester hormones concentrations.15 35 39 The resultant intrauterine environment may affect fetal development.

Our findings may have clinical implications. First, from early pregnancy onwards, GWG may affect subsequent maternal and neonatal outcomes. Second, although interventions to limit GWG in late pregnancy are effective, the benefits might be modest at best. To mitigate the harms of excessive weight gain, addressing the importance of gaining the appropriate amount of weight in both early and late pregnancy should be integrated into routine prenatal care.1 7 40

Conclusion

The GWG associations with adverse pregnancy outcomes differ at early and late pregnancy, and there may be effect modification by fetal sex in the association of GWG in late pregnancy with some pregnancy outcomes. Weight gain management should be integrated into the routine prenatal care to decrease the risks of adverse pregnancy outcomes.