Seeking the optimal gestational weight gain according to the pre-pregnancy body mass index: a cross-sectional study from Shanghai, China.
Maternal nutritional status is closely related to fetal intrauterine development and an abnormal birth weight increases various disease risks across life stages. To better guide pregnancy weight gain, we aimed to explore the optimal weight gain for pregnant women with different body mass indexes (BMIs).
This retrospective cohort study included 68,981 women with singleton live birth between January 2017 and October 2021 in maternity centres in Shanghai, China. The fluctuations of the incidence of small and large for gestational age (small for gestational age (SGA) and LGA, respectively) were recorded at different maternal pre-pregnancy BMI (p-BMI) and different gestational weight gain (GWG) groups to find the lowest point of abnormal fetal weight incidence. The optimal GWG was then determined using a linear regression equation.
The lowest risk of LGA/SGA was associated with a maternal p-BMI of 19.46 kg/m2. For pregnant women with maternal p-BMI below 24 kg/m2, we confirmed an optimal GWG linear equation: opt GWG (kg) = -1.94 × p-BMI (kg/m²) + 51, which showed an excellent degree of fit. Women who were overweight and obese could not achieve the lowest risk of LGA/SGA despite controlling their GWG; hence, their BMI should be normalized before pregnancy.
By merely using the pre-pregnancy BMI, this study has established the optimal GWG equation, with the goal of achieving the appropriate fetal gestational age. It is a practical measure to ensure desirable pregnancy outcomes and meet the health economics requirements.
Gao J
，Li M
，Gao S
，Qin F
，Cheng W
... -
《-》
Association of prepregnancy body mass index and gestational weight gain trajectory with adverse pregnancy outcomes-a prospective cohort study in Shanghai.
The objective was to investigate the associations of maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG) trajectories with adverse pregnancy outcomes (APOs).
This was a prospective cohort study.
This study was conducted in Shanghai Pudong New Area Health Care Hospital for Women and Children, Shanghai, China.
A cohort study involving a total of 2174 pregnant women was conducted. Each participant was followed to record weekly weight gain and pregnancy outcomes. The Institute of Medicine classification was used to categorise prepregnancy BMI, and four GWG trajectories were identified using a latent class growth model.
The adjusted ORs for the risks of large for gestational age (LGA), macrosomia, gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP) were significantly greater for women with prepregnancy overweight/obesity (OR=1.77, 2.13, 1.95 and 4.24; 95% CI 1.3 to 2.42, 1.32 to 3.46, 1.43 to 2.66 and 2.01 to 8.93, respectively) and lower for those who were underweight than for those with normal weight (excluding HDP) (OR=0.35, 0.27 and 0.59; 95% CI 0.22 to 0.53, 0.11 to 0.66 and 0.36 to 0.89, respectively). The risk of small for gestational age (SGA) and low birth weight (LBW) was significantly increased in the underweight group (OR=3.11, 2.20; 95% CI 1.63 to 5.92, 1.10 to 4.41; respectively) compared with the normal-weight group; however, the risk did not decrease in the overweight/obese group (p=0.942, 0.697, respectively). GWG was divided into four trajectories, accounting for 16.6%, 41.4%, 31.7% and 10.3% of the participants, respectively. After adjustment for confounding factors, the risk of LGA was 1.54 times greater for women in the slow GWG trajectory group than for those in the extremely slow GWG trajectory group (95% CI 1.07 to 2.21); the risk of SGA and LBW was 0.37 times and 0.46 times lower for women in the moderate GWG trajectory group and 0.14 times and 0.15 times lower for women in the rapid GWG trajectory group, respectively; the risk of macrosomia and LGA was 2.65 times and 2.70 times greater for women in the moderate GWG trajectory group and 3.53 times and 4.36 times greater for women in the rapid GWG trajectory group, respectively; and the women in the other three trajectory groups had a lower risk of GDM than did those in the extremely slow GWG trajectory group, but there was not much variation in the ORs. Notably, different GWG trajectories did not affect the risk of HDP.
As independent risk factors, excessively high and low prepregnancy BMI and GWG can increase the risk of APOs.
Ma Z
，Chu L
，Zhang Z
，Hu Y
，Zhu Y
，Wu F
，Zhang Y
... -
《BMJ Open》
Prediction of the ideal gestational weight gain for reducing the risk of macrosomia/large for gestational age in women with gestational diabetes mellitus in northern Taiwan.
Appropriate weight gain reduces the risk of fetal macrosomia and large for gestational age (LGA) in women with gestational diabetes mellitus (GDM), especially in the second and third trimester. This study aims to identify the optimal weight g-ain for such women across several pre-pregnancy body mass index (BMI) categories to lower the risk of macrosomia and LGA.
This retrospective cohort study enrolled women with GDM in north Taiwan who delivered between January 2012 and July 2022. BMI cut-offs were based on Chinese-specific guidelines and used to classify the participants as underweight (<18.5 kg/m2), normal weight (18.5-24.0 kg/m2), overweight (24.0-28.0 kg/m2), or obese (>28 kg/m2). Receiver operator curve analysis was used to determine the optimum GWG cut-off ranges to predict macrosomia / LGA, and uni- and multivariate analyses were used to analyze risk factors. In addition, a multivariable model predicting macrosomia and LGA in infants was developed.
A total of 963 participants was included in our analysis. Optimal mean weekly rates of GWG in the second and third trimesters were 0.43 kg/week and 0.61 kg/week, respectively, in the underweight and normal weight group, and 0.33 kg/week and 0.32 kg/week, respectively, in the overweight and obesity group.
The 2009 IOM guidelines, offering weight gain recommendations for pregnant women, appear to be applicable to Asian women diagnosed with GDM. This indicates that it is essential for such women to maintain an adequate total GWG throughout pregnancy. Physicians should address GWG using the IOM guidelines and trigger intervention when it is required to reduce macrosomia and LGA occurrence.
Chen TL
，Wu CH
，Gau ML
，Cheng SF
... -
《-》
Association between prepregnancy body mass index or gestational weight gain and adverse pregnancy outcomes among Chinese women with gestational diabetes mellitus: a systematic review and meta-analysis.
The association between prepregnancy body mass index (BMI) or gestational weight gain (GWG) and adverse pregnancy outcomes among Chinese women with gestational diabetes mellitus (GDM) is unknown. This study aims to evaluate such association by synthesising the evidence.
Systematic review and meta-analysis.
PubMed, Web of Science, Scopus, EMBASE, China Biology Medicine disc, China National Knowledge Infrastructure, Wangfang, and China Science and Technology Journal Database searched from inception to 11 August 2023.
Prospective cohort studies, retrospective cohort studies and case-control studies estimating the relationship of abnormal prepregnancy BMI (including underweight, overweight or obesity) or inappropriate GWG (including excess GWG or insufficient GWG) with adverse pregnancy outcomes of interest were included. Outcomes included macrosomia, caesarean section, preterm birth, gestational hypertension, large for gestational age (LGA) and small for gestational age (SGA).
Two reviewers independently selected studies, extracted the data and assessed the risk of bias. OR estimate and its 95% CI were pooled using Stata software fixed-effect model. Subgroup analysis, meta-regression and sensitivity analysis were performed to ensure credibility of the results.
Twenty-three studies (eighteen retrospective cohort studies, three prospective cohort studies and two case control studies) involving 57 013 Chinese women with GDM were identified. Meta-analysis results showed that compared with GDM women with normal weight, GDM women with underweight were at a higher risk of SGA (OR=1.79 (1.54 to 2.07), five studies involving 31 967 women); women with overweight had higher risks of macrosomia (OR=1.65 (1.49 to 1.82), eleven studies involving 41 683 women), caesarean section (OR=1.48 (1.38 to 1.59), ten studies involving 34 935 women), preterm birth (OR=1.27 (1.13 to 1.43), eight studies involving 38 295 women) and LGA (OR=1.73 (1.54 to 1.95), seven studies involving 31 342 women) and women with obesity had higher risks of macrosomia (OR=2.37 (2.04 to 2.76), eleven studies involving 41 683 women), caesarean section (OR=2.07 (1.84 to 2.32), nine studies involving 34 829 women), preterm birth (OR=1.31 (1.09 to 1.57), eight studies involving 38 295 women) and LGA (OR=2.63 (2.15 to 3.21), six studies involving 31 236 women). Regard to GWG, compared with Chinese GDM women with sufficient GWG, GDM women with excessive GWG had higher risks of macrosomia (OR=1.74 (1.58 to 1.92), twelve studies involving 40 966 women), caesarean section (OR=1.44 (1.36 to 1.53), nine studies involving 36 205 women) and LGA (OR=2.12 (1.96 to 2.29), twelve studies involving 42 342 women); women with insufficient GWG conversely had higher risks of preterm birth (OR=1.59 (1.45 to 1.74), nine studies involving 37 461 women) and SGA (OR=1.38 (1.27 to 1.51), ten studies involving 41 080 women).
For Chinese women with GDM, abnormal prepregnancy BMI or inappropriate GWG were related to higher risks of many adverse pregnancy outcomes. Therefore, medical staff should pay more attention to the weight management of GDM women during pregnancy.
Zhu Y
，Zheng Q
，Pan Y
，Jiang X
，Li J
，Liu R
，Huang L
... -
《BMJ Open》
ResearchGate
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