Maternal Obesity and Gestational Weight Gain in Rural Versus Urban Dwelling Women in South Carolina

Purpose: An unhealthy prepregnancy weight and/or gaining an inappropriate amount of weight during pregnancy increase the risk for poor pregnancy and birth outcomes. To our knowledge, no studies to date have examined differences in prepregnancy body mass index (BMI) and gestational weight gain (GWG) patterns by rurality. Methods: The 2004‐2006 South Carolina birth certificate data (n = 132,795) were used. Rurality of residence was determined using Rural‐Urban Commuting Area (RUCA) codes. Mothers were categorized as underweight (<18.5 kg/m²), normal weight (18.5‐24.9), overweight (25.0‐29.9), and obese (≥30.0) using their prepregnancy BMI and as having inadequate, adequate, or excessive GWG according to the Institute of Medicine's 2009 GWG guidelines. Chi‐square tests and adjusted multinomial logistic regression were used in analysis. Findings: Rural women had higher odds of being overweight and obese compared to urban women. This relationship was found to be partially explained by the higher proportion of minorities living in rural areas. The relationship between GWG and residence type varied by BMI category. Specifically, among normal weight women, rural women had increased odds of inadequate GWG. Among overweight women, rural women had decreased odds of excessive GWG. In obese women, rural women had decreased odds of both inadequate and excessive GWG. Conclusions: Rural women were more likely to have an unhealthy prepregnancy weight than urban women. However, rural residence was found to be protective against unhealthy GWG in overweight and obese women. Future research exploring reasons for these findings and confirmation of these results in other populations is necessary.     

孕前体重指数和孕期体重增长与新生儿体重的关系

目的探讨孕妇孕前体重指数（bodymassindex,BMI）和孕期体重增长与新生儿体重的关系。方法2006年7月1日至2007年6月30日,2734例于四川I大学华西第二医院住院分娩且病历资料完整孕妇,按孕前体重指数分组。体重指数〈16．75kg／m2,纳入低BMI组（n=51）,体重指数为（16．75～23．71）kg／m2纳入正常BMI组（n=2330）,体重指数〉23．71kg／m2,纳入高BMI组（n=353）。根据四川大学华西第二医院推荐的孕期适宜体重增长模式,将孕期体重增长分为三类：体重增长〈13．13kg,体重增长为（13．13～20．25）kg和体重增长≥20．25kg。将正常BMI组与高BMI组孕妇分别按体重增长进一步分为三个亚组,分析孕妇孕前体重指数和孕期体重增长与新生儿体重的关系。结果低BMI组、正常BMI组和高BMI组孕妇孕前体重指数与新生儿体重的相关系数（r）分别为0．128（P〉0．05）,0．138（P〈0．01）和0．126（P〈0．05）。低BMI组、正常BMI组和高BMI组孕妇孕期体重增加与新生儿体重的相关系数分别为0．629（P〈0．001）,0．236（P〈0．001）和0．195（P〈0．001）。正常BMI组孕妇孕期体重增加〈13．13kg亚组1与正常BMI组体重增加为（13．13～20．25）kg亚组1比较,巨大儿发生的OR=0．617,95％CI：0．424～0．864（P〈0．01）。正常BMI组孕妇孕期体重增加〉20．25kg亚组1与体重增加为（13．13～20．25）kg亚组1比较,巨大儿发生的OR=1．622,95％CI：1．116～2．356（P〈0．01）。正常BMI组中,各体重增长亚组比较,低体重儿发生率差异无显著意义（P〉0．05）。高BMI组中,各体重增长亚组比较,低体重儿、巨大儿发生率差异无显著意义（P〉0．05）。结论孕妇孕前体重指数及孕期体重增加与新生儿出生体重呈正相关。为降低巨大儿发生率,正常体重指数组孕期体重增加不宜超过20．25kg。     

Relative Contribution of Gestational Weight Gain,Gestational Diabetes,and Maternal Obesity to Neonatal Fat Mass

Maternal nutritional and metabolic status influence fetal growth. This study investigated the contribution of gestational weight gain (GWG), gestational diabetes (GDM), and maternal obesity to birthweight and newborn body fat. It is a secondary analysis of a prospective study including 204 women with a pregestational body mass index (BMI) of 18.5–24.9 kg/m² and 219 women with BMI ≥ 30 kg/m². GDM was screened in the second and third trimester and was treated by dietary intervention, and insulin if required. Maternal obesity had the greatest effect on skinfolds (+1.4 mm) and cord leptin (+3.5 ng/mL), but no effect on birthweight. GWG was associated with increased birthweight and skinfolds thickness, independently from GDM and maternal obesity. There was an interaction between third trimester weight gain and GDM on birthweight and cord leptin, but not with maternal obesity. On average, +1 kg in third trimester was associated with +13 g in birthweight and with +0.64 ng/mL in cord leptin, and a further 32 g and 0.89 ng/mL increase in diabetic mothers, respectively. Maternal obesity is the main contributor to neonatal body fat. There is an independent association between third trimester weight gain, birthweight, and neonatal body fat, enhanced by GDM despite intensive treatment.     

Obesity, gestational weight gain and preterm birth: a study within the Danish National Birth Cohort

The aim of the present study was to assess the impact of obesity and gestational weight gain on the risk of subtypes of preterm birth, because little is known about these associations. The study included 62 167 women within the Danish National Birth Cohort for whom self-reported information about prepregnancy body mass index (BMI) and gestational weight gain was available. Information about spontaneous preterm birth with or without preterm premature rupture of membranes (PPROM) and about induced preterm deliveries was obtained from national registers. Cox regression analyses were used to examine associations of prepregnancy BMI and gestational weight gain with subtypes of preterm birth. The crude risks of PPROM and of induced preterm deliveries were higher in obese women (BMI > or = 30) than in normal-weight women (18.5 < or = BMI < 25), especially before 34 completed weeks of gestation, when obese women faced twice the risk. In the adjusted analysis, the hazard ratios and 95% confidence intervals for PPROM and for induced preterm delivery in obese women were 1.5 [1.2, 1.9] and 1.2 [1.0, 1.6] respectively. When obesity-related diseases were accounted for, no excess risk of induced preterm deliveries was seen in obese women, but the increased risk of PPROM was unchanged. Low weight gain was associated with an increased risk of all subtypes of preterm birth compared with normal weight gain, especially in early spontaneous preterm births, where the risk was doubled. We concluded that prepregnancy obesity was associated with a higher risk of PPROM and early induced preterm deliveries.     

Knowledge,Attitudes and Provider Advice by Pre-Pregnancy Weight Status: A Qualitative Study of Pregnant Latinas With Excessive Gestational Weight Gain

Latina women are at high risk of excessive gestational weight gain (GWG) during pregnancy; yet little is known about whether factors related to GWG differ by pre-pregnancy body mass index (BMI) within this population. We conducted in-depth interviews with 62 pregnant Latina women with pre-pregnancy BMIs in the healthy, overweight, and obese ranges, gestational age ≥22 weeks, and GWG for gestational age above Institute of Medicine (IOM) guidelines. Compared to healthy weight and obese women, overweight women least often reported viewing weight as important, making efforts to control their GWG, being aware of the role of diet on GWG, and receiving GWG advice from health-care providers. Among those who received GWG advice, overweight women more often recalled a target GWG above IOM guidelines. Obese women more often reported low acceptance of their GWG, concern about GWG, having received GWG advice from providers, difficulty following providers’ dietary advice, and emotional eating as a challenge for controlling GWG. Participants welcomed practical advice to manage GWG. Future interventions to prevent excessive GWG among Latina women should consider differences among women of varying pre-pregnancy BMIs and include multi-level strategies to address psychosocial as well as provider factors.     

Cohort Study of Maternal Gestational Weight Gain,Gestational Diabetes,and Childhood Asthma

Data on the association of maternal gestational weight gain (GWG) and gestational diabetes mellitus (GDM) with childhood asthma are limited and inconsistent. We aimed to investigate these associations in a U.S. pre-birth cohort. Analyses included 16,351 mother–child pairs enrolled in the Massachusetts General Hospital Maternal-Child Cohort (1998–2010). Data were obtained by linking electronic health records for prenatal visits/delivery to determine BMI, GWG, and GDM (National Diabetes Data Group criteria) and to determine asthma incidence and allergies (atopic dermatitis or allergic rhinitis) for children. The associations of prenatal exposures with asthma were evaluated using logistic regression adjusted for maternal characteristics. A total of 2306 children (14%) developed asthma by age 5 years. Overall, no association was found between GWG and asthma. GDM was positively associated with offspring asthma (OR 1.46, 95% CI 1.14–1.88). Associations between GDM and asthma were observed only among mothers with early pregnancy BMI between 20 and 24.9 kg/m² (OR 2.31, CI 1.46–3.65, p-interaction 0.02). We report novel findings on the impact of prenatal exposures on asthma, including increased risk among mothers with GDM, particularly those with a normal BMI. These findings support the strengthening of interventions targeted toward a healthier pregnancy, which may also be helpful for childhood asthma prevention.     

Prevention of Gestational Diabetes Mellitus and Gestational Weight Gain Restriction in Overweight/Obese Pregnant Women: A Systematic Review and Network Meta-Analysis

Background: Overweight/obesity is associated with pregnancy-related disorders, such as gestational diabetes mellitus (GDM) and excessive gestational weight gain (GWG). Although multiple interventions have been proposed to prevent GDM and restrict GWG, our knowledge of their comparative efficacy is limited. Objective: To evaluate the effectiveness and identify the optimal intervention strategy to prevent GDM and restrict GWG among overweight/obese pregnant women. Methods: Randomized controlled trials that recruited overweight/obese pregnant women at <20 gestational week were obtained. Predictive and confidence interval plot and surface under the cumulative ranking (SUCRA) were performed using Stata statistical software to determine and compare the efficacy of interventions (diet, physical activity (PA), diet + PA intervention and medication). Results: 23 studies with a total of 8877 participants were eligible for analysis. Our results indicated that although neither PA, diet + PA, diet nor medication intervention could significantly protect overweight/obese women from the development of GDM, there was a trend that PA and diet + PA intervention were preventive factors of GDM. Of these, PA intervention (SUCRA, 82.8%) ranked as the superior strategy, and diet intervention (SUCRA, 19.7%) was the least efficacious regimen. Furthermore, interventions of diet, PA and diet + PA were significantly beneficial for GWG restriction, whereas medication intervention could not restrict GWG. In detail, diet intervention (SUCRA, 19.7%) ranked as the optimal regimen, whilst PA intervention (SUCRA, 62.3%) ranked as the least efficacious regimen. Conclusion: Although none of the interventions could offer remarkable benefit for GDM prevention, interventions of diet, PA and diet + PA were significant factors to restrict GWG. In aggregate, diet + PA intervention seemed the superior choice for the prevention of both GDM and excessive GWG. Registration: PROSPERO CRD42022313542.     

Pre-pregnancy Body Mass Index, Gestational Weight Gain, and Other Maternal Characteristics in Relation to Infant Birth Weight

Objectives Infant birth weight is influenced by modifiable maternal pre-pregnancy behaviors and characteristics. We evaluated the relationship among pre-pregnancy body mass index (BMI), gestational weight gain, and infant birth weight, in a prospective cohort study. Methods Women were enrolled at ≤20 weeks gestation, completed in-person interviews and had their medical records reviewed after delivery. Infant birth weight was first analyzed as a continuous variable, and then grouped into Low birth weight (LBW) (<2,500 g), normal birth weight (2,500–3,999 g), and macrosomia (≥4,000 g) in categorical analysis. Pre-pregnancy BMI and gestational weight gain were categorized based on Institute of Medicine BMI groups and gestational weight gain guidelines. Associations among infant birth weight and pre-pregnancy BMI, gestational weight gain, and other factors were evaluated using multivariate regression. Risk ratios were estimated using generalized linear modeling procedures. Results Pre-pregnancy BMI was independently and positively associated with infant birth weight (β = 44.7, P = 0.001) after adjusting for confounders, in a quadratic model. Gestational weight gain was positively associated with infant birth weight (β = 19.5, P < 0.001). Lower infant birth weight was associated with preterm birth (β = −965.4, P < 0.001), nulliparity (β = −48.6, P = 0.015), and female babies (β = −168.7, P < 0.001). Less than median gestational weight gain was associated with twice the risk of LBW (RR = 2.04, 95% CI 1.34–3.11). Risk of macrosomia increased with increasing pre-pregnancy BMI and gestational weight gain (P for linear trend <0.001). Conclusions These findings support the need to balance pre-pregnancy weight and gestational weight gain against the risk of LBW and macrosomia among lean and obese women, respectively.     

Acceptability of the FIGO Nutrition Checklist in Preconception and Early Pregnancy to Assess Nutritional Status and Prevent Excess Gestational Weight Gain: A Study of Women and Healthcare Practitioners in the UK

Optimum nutrition and weight before and during pregnancy are associated with a lower risk of conditions such as pre-eclampsia and gestational diabetes. There is a lack of user-friendly tools in most clinical settings to support healthcare practitioners (HCPs) in implementing them. This study aimed to evaluate the acceptability of (1) using a nutrition checklist designed by the International Federation of Gynecology and Obstetrics (FIGO) for nutritional screening of women in the preconception and early pregnancy period and (2) routine discussion of nutrition and weight in clinical care. An online cross-sectional survey was conducted with women (aged 18–45) and HCPs (e.g., general practitioners, obstetricians, and midwives). Quantitative statistical analysis and qualitative content analysis were performed. The concept and content of the checklist were acceptable to women (n = 251) and HCPs (n = 47) (over 80% in both groups). Several barriers exist to implementation such as lack of time, training for HCPs, and the need for sensitive and non-stigmatizing communication. Routine discussion of nutrition was considered important by both groups; however, results suggest that nutrition is not regularly discussed in perinatal visits in the UK. The FIGO nutrition checklist presents a valuable resource for use in clinical practice, offering long-term and intergenerational benefits for both mother and baby.     

A Priori and a Posteriori Dietary Patterns during Pregnancy and Gestational Weight Gain: The Generation R Study

Abnormal gestational weight gain (GWG) is associated with adverse pregnancy outcomes. We examined whether dietary patterns are associated with GWG. Participants included 3374 pregnant women from a population-based cohort in the Netherlands. Dietary intake during pregnancy was assessed with food-frequency questionnaires. Three a posteriori-derived dietary patterns were identified using principal component analysis: a “Vegetable, oil and fish”, a “Nuts, high-fiber cereals and soy”, and a “Margarine, sugar and snacks” pattern. The a priori-defined dietary pattern was based on national dietary recommendations. Weight was repeatedly measured around 13, 20 and 30 weeks of pregnancy; pre-pregnancy and maximum weight were self-reported. Normal weight women with high adherence to the “Vegetable, oil and fish” pattern had higher early-pregnancy GWG than those with low adherence (43 g/week (95% CI 16; 69) for highest vs. lowest quartile (Q)). Adherence to the “Margarine, sugar and snacks” pattern was associated with a higher prevalence of excessive GWG (OR 1.45 (95% CI 1.06; 1.99) Q4 vs. Q1). Normal weight women with higher scores on the “Nuts, high-fiber cereals and soy” pattern had more moderate GWG than women with lower scores (−0.01 (95% CI −0.02; −0.00) per SD). The a priori-defined pattern was not associated with GWG. To conclude, specific dietary patterns may play a role in early pregnancy but are not consistently associated with GWG.     

Modeling the Predictive Value of Evidence-Based Referral Criteria to Support Healthy Gestational Weight Gain among an Australian Pregnancy Cohort

Globally, there has been a renewed focus on addressing gestational weight gain (GWG). In Australia, the Department of Health pregnancy care guidelines recommend women be offered routine weighing and receive brief nutritional and physical activity support during antenatal care visits. Women gaining weight outside the Institute of Medicine (IOM)’s weight gain reference values are further recommended to be referred to a dietitian. However, professional and organizational barriers, including an absence of weight gain referral pathways and limited workforce resources, exist with the translation and scaling of these recommendations into practice. This study aimed to explore patterns of GWG among a cohort of Australian pregnant women and to determine if pregnancy weight gains of above or below 2 kg or 5 kg in the second and third trimester can be used to predict total GWG outside recommendations. Sensitivity, specificity, negative, and positive likelihood ratios were calculated. The most predictive time point was 24 weeks’ gestation using the minimum weight change parameter of +/−2 kg, demonstrating reasonable sensitivity (0.81, 95% CI 0.61–0.83) and specificity (0.72, 95% CI 0.61–0.83), resulting in 55% (n = 72/131) of the cohort qualifying for dietetic referral. Given the current health service constraints, a review of dietetic services within maternity care is warranted.     

Maternal Obesity and Risk of Low Birth Weight,Fetal Growth Restriction,and Macrosomia: Multiple Analyses

The associations between maternal pre-pregnancy obesity and low birth weight (LBW, <2500 g) remain inconclusive. Therefore, birth weight in a Polish prospective cohort of 912 mothers was investigated depending on the pre-pregnancy body mass index (BMI). The whole cohort and the subgroup of gestational weight gain (GWG) in the range of the Institute of Medicine (IOM) recommendations, as well as ‘healthy’ women (who did not develop diabetes or hypertension in this pregnancy) were investigated. Adjusted odds ratios (AOR) of the newborn outcomes (with 95% confidence intervals, CI) for obesity (BMI ≥ 30 kg/m²) vs. normal BMI (18.5−24.9 kg/m²) were calculated using multiple logistic regression. Risk profiles (in the Lowess method) were presented for BMI values (kg/m²) and threshold BMI values were calculated. (1) In the cohort, LBW affected 6.6% of pregnancies, fetal growth restriction (FGR) 2.3%, and macrosomia 10.6%. (2) The adjusted risk of macrosomia was more than three-fold higher for obesity compared to normal BMI in the whole cohort (AOR = 3.21 (1.69−6.1), p < 0.001) and the result was maintained in the subgroups. A 17-fold higher adjusted LBW risk for obesity was found (AOR = 17.42 (1.5−202.6), p = 0.022), but only in the normal GWG subgroup. The FGR risk profile was U-shaped: in the entire cohort, the risk was more than three times higher for obesity (AOR = 3.12 (1.02−9.54), p = 0.045) and underweight (AOR = 3.84 (1.13−13.0), p = 0.031). (3) The risk profiles showed that the highest BMI values were found to be associated with a higher risk of these three newborn outcomes and the threshold BMI was 23.7 kg/m² for macrosomia, 26.2 kg/m² for LBW, and 31.8 kg/m² for FGR. These results confirm the multidirectional effects of obesity on fetal growth (low birth weight, fetal growth restriction, and macrosomia). The results for LBW were heavily masked by the effects of abnormal gestational weight gain.