Factors associated with gestational weight gain: a cross-sectional survey

Polybrominated diphenyl ethers and gestational weight gain: a multi-center prospective cohort study

OBJECTIVE

To evaluate the associations of plasma polybrominated diphenyl ether (PBDE) concentrations in early pregnancy with gestational weight gain (GWG).

DESIGN

Prospective cohort study.

SETTING

US-based, multicentre cohort of pregnant women.

POPULATION

We used data from 2052 women without obesity and 397 women with obesity participating in the NICHD Fetal Growth Studies - Singleton Cohort, with first-trimester plasma PBDE concentrations and weight measurements throughout pregnancy.

METHODS

We applied generalised linear models and Bayesian kernel machine regression (BKMR) to evaluate both the individual and joint associations of PBDEs with measures of GWG, adjusting for potential confounders.

MAIN OUTCOME MEASURES

Total GWG (kg), total and trimester-specific GWG velocities (kg/week), and GWG categories and trajectory groups.

RESULTS

Mean pre-pregnancy BMIs were 23.6 and 34.5 kg/m2 for women without and with obesity, respectively. Among women without obesity, there were no associations of PBDEs with any GWG measure. Among women with obesity, one standard deviation increase in log-transformed PBDE 47 was associated with a 1.87 kg higher total GWG (95% CI 0.39-3.35) and a 0.05 kg/week higher total GWG velocity (95% CI 0.01-0.09). Similar associations were found for PBDE 47 in BKMR among women with obesity, and PBDE 47, 99 and 100 were associated with lower odds of being in the low GWG trajectory group.

CONCLUSIONS

PBDEs were not associated with GWG among individuals without obesity. Among those with obesity, only PBDE 47 showed consistent positive associations with GWG measures across multiple statistical methods. Further research is needed to validate this association and explore potential mechanisms.

Maternal pre-pregnancy BMI influences the associations between bisphenol and phthalate exposures and maternal weight changes and fat accumulation

BACKGROUND

Bisphenols and phthalates are two classes of endocrine-disrupting chemicals (EDCs) thought to influence weight and adiposity. Limited research has investigated their influence on maternal weight changes, and no prior work has examined maternal fat mass. We examined the associations between exposure to these chemicals during pregnancy and multiple maternal weight and fat mass outcomes.

METHODS

This study included a sample of 318 women enrolled in a Canadian prospective pregnancy cohort. Second trimester urinary concentrations of 2 bisphenols and 12 phthalate metabolites were quantified. Self-reported and measured maternal weights and measured skinfold thicknesses were used to calculate gestational weight gain, 3-months and 3- to 5-years postpartum weight retention, late pregnancy fat mass gain, total postpartum fat mass loss, and late postpartum fat mass retention. Adjusted robust regressions examined associations between chemicals and outcomes in the entire study population and sub-groups stratified by pre-pregnancy body mass index (BMI). Bayesian kernel machine regression examined chemical mixture effects.

RESULTS

Among women with underweight or normal pre-pregnancy BMIs, MBzP was negatively associated with weight retention at 3- to 5-years postpartum (B = -0.04, 95%CI: -0.07, -0.01). Among women with overweight or obese pre-pregnancy BMIs, MEHP and MMP were positively associated with weight retention at 3-months and 3- to 5-years postpartum, respectively (B's = 0.12 to 0.63, 95%CIs: 0.02, 1.07). DEHP metabolites and MCNP were positively associated with late pregnancy fat mass gain and late postpartum fat mass retention (B's = 0.04 to 0.18, 95%CIs: 0.001, 0.32). Further, the mixture of EDCs was positively associated with late pregnancy fat mass gain.

CONCLUSION

In this cohort, pre-pregnancy BMI was a key determinant of the associations between second trimester exposure to bisphenols and phthalates and maternal weight changes and fat accumulation. Investigations of underlying physiological mechanisms, windows of susceptibility, and impacts on maternal and infant health are needed.

Cohort profile: Life-course experiences and pregnancy (LEAP)-A retrospective pregnancy cohort for life-course reproductive health research

BACKGROUND

Life course factors may be associated with pre-pregnancy body mass index and gestational weight gain; however, collecting information on pre-pregnancy exposures and pregnancy health in the same cohort is challenging.

OBJECTIVES

The Life-course Experiences And Pregnancy (LEAP) study aims to identify adolescent and young adult risk factors for pre-pregnancy weight and gestational weight gain (GWG). We built upon an existing cohort study to overcome challenges inherent to studying life course determinants of pregnancy health.

POPULATION

Participants in an ongoing prospective cohort study of weight-related health who identified as women.

DESIGN

Retrospective cohort study.

METHODS

In 2019-2020, 1,252 women participating since adolescence in a cohort study of weight-related health were invited to complete an online reproductive history survey. Participants who reported a live birth were invited to release their prenatal, delivery, and postpartum medical records for validation of survey reports. Descriptive analyses were conducted to assess the characteristics of the overall cohort and the medical record validation subsample, and to describe adolescent and young adult characteristics of those with high (>80th percentile), moderate (20th-80th percentile), and low (<20th percentile) GWG z-score for gestational age and pre-pregnancy weight status.

PRELIMINARY RESULTS

Nine hundred seventy-seven women (78%) completed the LEAP survey and 656 reported a live birth. Of these, 379 (58%) agreed to release medical records, and 250 records were abstracted (66% of the 379). Of the 977 survey respondents 769 (79%) reported attempting a pregnancy, and 656 (67%) reported at least one live birth. The validation subsample was similar to the overall cohort. Women with a high GWG had a higher adolescent BMI percentile and prevalence of unhealthy weight control behaviors than those with moderate or low GWG.

CONCLUSIONS

LEAP offers a valuable resource for identifying life course factors that may influence the health of pregnant people and their offspring.

Dietitian-led cluster randomised controlled trial on the effectiveness of mHealth education on health outcomes among pregnant women: a protocol paper

INTRODUCTION

Nutrition education is the cornerstone to maintain optimal pregnancy outcomes including gestational weight gain (GWG). Nevertheless, default for appointments is common and often lead to suboptimal achievement of GWG, accompanied with unfavourable maternal and child health outcomes. While mobile health (mHealth) usage is increasing and helps minimising barriers to clinic appointments among pregnant mothers, its effectiveness on health outcomes has been inconclusive. Therefore, this study aimed to address the gap between current knowledge and clinical care, by exploring the effectiveness of mHealth on GWG as the primary outcome, hoping to serve as a fundamental work to achieve optimal health outcomes with the improvement of secondary outcomes such as physical activity, psychosocial well-being, dietary intake, quality of life and sleep quality among pregnant mothers.

METHODS AND ANALYSIS

A total of 294 eligible participants will be recruited and allocated into 3 groups comprising of mHealth intervention alone, mHealth intervention integrated with personal medical nutrition therapy and a control group. Pretested structured questionnaires are used to obtain the respondents' personal information, anthropometry data, prenatal knowledge, physical activity, psychosocial well-being, dietary intake, quality of life, sleep quality and GWG. There will be at least three time points of data collection, with all participants recruited during their first or second trimester will be followed up prospectively (after 3 months or/and after 6 months) until delivery. Generalised linear mixed models will be used to compare the mean changes of outcome measures over the entire study period between the three groups.

ETHICS AND DISSEMINATION

Ethical approvals were obtained from the ethics committee of human subjects research of Universiti Putra Malaysia (JKEUPM-2022-072) and medical research & ethics committee, Ministry of Health Malaysia: NMRR ID-22-00622-EPU(IIR). The results will be disseminated through journals and conferences targeting stakeholders involved in nutrition research.

TRIAL REGISTRATION NUMBER

Clinicaltrial.gov ID: NCT05377151.

Obesity Cut-Off Points Using Prepregnancy Body Mass Index according to Cardiometabolic Conditions in Pregnancy

Aim

To suggest cut-off points for body mass index (BMI) using gestational hypertension, preeclampsia, and gestational diabetes mellitus (GDM) as cardiometabolic conditions in pregnancy.

Methods

In this prospective study, singleton pregnant women from the fetal medicine service of the Brazilian Unified Health System were included. The pregnancy, perinatal, and newborn data were obtained from the clinical medical records. Maternal anthropometry included an assessment of weight and height and the prepregnancy BMI evaluation categorized according to the World Health Organization cut-off points. The area under the curve and confidence interval values from receiver operator curves were generated to identify the optimal cut-off points using prepregnancy BMI with better sensitivity and specificity.

Results

Data on 218 pregnancies were analyzed, with 57.9% (n = 124) being classified as overweight/obese, 11% (n = 24) with GDM, 6.9% (n = 15) with preeclampsia, and 11.0% (n = 24) with gestational hypertension. The BMI cut-off points for predicting cardiometabolic conditions were 27.52 kg/m2 (S: 66.7%; E: 63.8%) for women with GDM; 27.40 kg/m2 (S: 73.3%; E: 62.4%; S: 79.2%; E: 64.9%; S: 70.3%; E: 66.3%) for women with preeclampsia, gestational hypertension, and gestational hypertension plus preeclampsia, respectively; and 27.96 kg/m2 (S: 69.6%; E: 65.6%) for women with preeclampsia plus GDM.

Conclusion

The findings suggest that the optimal prepregnancy BMI cut-off point is around 27 kg/m2 for pregnant women with maternal cardiometabolic conditions.

[Do depressive symptoms, anxiety and stressful symptoms during pregnancy affect gestational weight gain?]

The scope of this article is to estimate the effects of symptoms of mental disorders during pregnancy (depressive symptoms, anxiety and stress) on gestational weight gain (kg). It is a longitudinal study, carried out with data from the BRISA Birth Cohort, which was launched in 2010 in São Luís, Maranhão. Gestational weight gain was classified according to the Institute of Medicine. The independent variable was a construct (latent variable) referred to as symptoms of mental disorders, made up of the depressive symptoms, anxiety and stressful symptoms variables (all on an ongoing basis). Structural equation modeling was used to investigate the association between mental health and weight gain. Regarding the association between symptoms of mental disorders and weight gain during pregnancy, no total effect was found (PC=0.043; p=0.377). Regarding indirect effects, no effect was found either through risk behaviors (PC=0.03; p=0.368) or through physical activity (PC=0.00; p=0.974). Finally, the data did not show a direct effect of symptoms of mental disorders during pregnancy such as gestational weight gain (PC=0.050; p=0.404). Gestational weight gain had no direct, indirect or total effect on symptoms of mental disorders in pregnant women.

Prevalence and related factors of inappropriate gestational weight gain among pregnant women with overweight/ obesity in Thailand

BACKGROUND

An inappropriate gestational weight gain (GWG) among pregnant women with overweight/obesity is a crucial health problem. Its prevalence remains high worldwide, particularly in urban areas. The prevalence and predicting factors in Thailand are lack of evidence. This study aimed to investigate prevalence rates, antenatal care (ANC) service arrangement, predictive factors, and impacts of inappropriate GWG among pregnant women with overweight/obesity in Bangkok and its surrounding metropolitan area.

METHODS

This cross-sectional, retrospective study used four sets of questionnaires investigating 685 pregnant women with overweight/obesity and 51 nurse-midwives (NMs) from July to December 2019 in ten tertiary hospitals. Multinomial logistic regression identified predictive factors with a 95% confidence interval (CI).

RESULT

The prevalence rates of excessive and inadequate GWG were 62.34% and 12.99%. Weight management for pregnant women with overweight/obesity are unavailable in tertiary cares. Over three-fourths of NMs have never received weight management training for this particular group. ANC service factors, i.e., GWG counseling by ANC providers, quality of general ANC service at an excellent and good level, NMs' positive attitudes toward GWG control, significantly decreased the adjusted odds ratio (AOR) of inadequate GWG by 0.03, 0.01, 0.02, 0.20, times, respectively. While maternal factors, sufficient income, and easy access to low-fat foods reduce AOR of inadequate GWG by 0.49, and 0.31 times. In contrast, adequate maternal GWG knowledge statistically increased the AOR of inadequate GWG 1.81 times. Meanwhile, easy access to low-fat foods and internal weight locus of control (WLOC) decreased the AOR of excessive GWG by 0.29 and 0.57 times. Finally, excessive GWG significantly increased the risk of primary C/S, fetal LGA, and macrosomia 1.65, 1.60, and 5.84 times, respectively, while inadequate GWG was not associated with adverse outcomes.

CONCLUSION

Prevalence rates of inappropriate GWG, especially excessive GWG remained high and affected adverse outcomes. The quality of ANC service provision and appropriate GWG counseling from ANC providers are significant health service factors. Thus, NMs should receive gestational weight counseling and management training to improve women's knowledge and practice for gestational weight (GW) control.

Effect of Circadian Distribution of Energy and Macronutrients on Gestational Weight Gain in Chinese Pregnant Women

Gestational weight gain (GWG) may be affected by the timing of dietary intake. Previous studies have reported contradictory findings, possibly due to inconsistent characterizations of meal timing. We conducted a birth cohort study in Tianjin to determine the effect of daily energy and macronutrient distribution in mid and late pregnancy on GWG. Dietary intake information in the second and third trimesters used three 24-h dietary recalls, and meal timing was defined in relation to sleep/wake timing. The adequacy of GWG was assessed using recommendations from the Institute of Medicine guidelines. Pregnant women who had a relatively high average energy and macronutrient distribution in the late afternoon-early evening time window exhibited a greater GWG rate and a greater total GWG than that in morning time window during the third trimester (β = 0.707; β = 0.316). Carbohydrate intake in the morning of the second and third trimesters (β = 0.005; β = 0.008) was positively associated with GWG rates. Morning carbohydrate intake in the second trimester was also positively associated with total GWG (β = 0.004). Fat intake in the morning of the third trimester (β = 0.051; β = 0.020) was positively associated with the GWG rates and total GWG. Excessive GWG of Chinese pregnant women was related closely to eating behavior focused on the late afternoon-early evening and carbohydrate and fat intake in the morning during the second and third trimesters.

Independent and Joint Associations of Age, Pre-pregnancy BMI, and Gestational Weight Gain with Adverse Pregnancy Outcomes in Gestational Diabetes Mellitus

INTRODUCTION

To explore the independent and combined effects of maternal age, pre-pregnancy body mass index (BMI), and gestational weight gain (GWG) on pregnancy outcomes in gestational diabetes mellitus (GDM).

METHODS

A total of 2171 pregnant women with GDM attending the Women's Hospital of Zhejiang University were retrospectively included. We compared pregnancy outcomes in different age, BMI, and GWG groups after adjusting for confounding variables.

RESULTS

Results showed that (1) advanced maternal age increased the risk of primary Cesarean section and hypertensive disorders of pregnancy (HDP) in normal weight; (2) independent of age and GWG, high BMI significantly increased the risk of HDP, primary Cesarean section, and macrosomia; (3) Women with excessive GWG had a higher risk of primary Cesarean section and HDP, even they were ≤ 29 years old or normal weight, respectively; (4) Pregnant women with inadequate GWG had a higher risk of preterm birth and a lower risk of macrosomia in both the 30-34 age group and the normal weight group; (5) BMI was a better predictor of HDP than GWG among women younger than 30.

CONCLUSIONS

Among the GDM population, women over the age of 35, overweight and obese, or with an excessive GWG were more prone to adverse pregnancy outcomes, especially primary Cesarean delivery and HDP.

The relationship of smoking with gestational diabetes: a large population-based study and a matched comparison

RESEARCH QUESTION

Is smoking associated with an increased risk for gestational diabetes (GDM)?

DESIGN

A retrospective population-based study using data from the United States Healthcare Cost and Utilization Project-Nationwide Inpatient Sample. A dataset of all deliveries that took place between 2004 and 2014 (inclusive) was created. The population was divided into two groups according to smoking status and matched 1:1 for age, obesity, race, insurance type, thyroid disease, drug use and chronic hypertension. Delivery outcomes were compared between the two matched groups and the control group of non-smokers as a whole. A multivariate logistic analysis was performed adjusting for any statistically significant confounding baseline effects not matched for.

RESULTS

The study identified 9,096,788 births between 2004 and 2014, of which 443,590 (4.9%) were maternal smokers. When compared with the entire group of non-smokers as controls, there was an increased risk of GDM, adjusted odd ratio (aOR) 1.10 (95% confidence interval [CI] 1.07-1.14, P < 0.001). This relationship was of a mild nature and there were many confounding variables that differed between the groups. As such a matched control group was developed to compare the risk of GDM in the smokers and non-smokers. An increased risk for GDM among smokers remained, with an aOR of 1.07 (95% CI 1.05-1.10, P < 0.001).

CONCLUSIONS

The current data suggest that smoking is a small but significant risk factor for GDM with an aOR of 1.07.

Association between 1st trimester diet quality & gestational weight gain rate among pregnant women in Dhulikhel, Nepal

BACKGROUND

Despite promising data from high-income countries, the impact of diet quality on gestational weight gain (GWG) has not been investigated in the context of many low-income countries including Nepal.

METHODS

We prospectively examined the association between 1st trimester diet quality and GWG rate among a cohort of singleton pregnant women (n = 101; age 25.9 ± 4.1 years) from a community-based periurban hospital in Dhulikhel, Nepal. Diet quality was assessed from the adapted Nepali version of the 21-item PrimeScreen questionnaire in the 1st trimester. The diet quality score is based on consumption frequency of 21 food group components (score ranging 0-42), categorized as healthy (12 groups) versus unhealthy (9 groups), with higher scores indicative of better overall diet quality. The GWG rate was calculated as the measured weight at early-to-mid 3rd trimester (28-35 wks) minus the weight at 2nd trimester (13-25 wks), divided by the number of weeks in between. Linear regression estimated the association between diet quality and GWG rate, adjusting for a priori covariates (i.e. age, education, ethnicity, pre-pregnancy BMI, and nausea/vomiting.) RESULTS: The mean GWG rate in mid-to-late pregnancy was 0.46 ± 0.2 kg/wk and the mean diet quality score was 23.6 ± 2.5. Based on pre-pregnancy BMI, 49.4% of women had excessive GWG rate, while nearly equal numbers had either adequate GWG or inadequate GWG rate. There was no significant association between diet quality and GWG rate [adjusted β (95% CI) = -0.02 (-0.05, 0.01); p = 0.14]. The mean GWG rate was marginally higher (0.57 vs. 0.44 kg/wk; p = 0.06) among those with high versus low (2 + servings vs. 0-1 serving/wk) intake of red meat; similar findings were seen when comparing red meat intake between women with excessive versus adequate GWG (Cramer's V = 0.2; p = 0.06).

CONCLUSIONS

While 1st trimester diet quality is not related to GWG among Nepali women, a high intake of red meat may be a potential risk factor for excessive GWG in this population.

Dietary Pattern Influences Gestational Weight Gain: Results from the ProcriAr Cohort Study-São Paulo, Brazil

The maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) influence maternal and infant outcomes. This study identified patterns of habitual dietary intake in 385 pregnant women in São Paulo and explored their associations with excessive weight gain (EGWG). Weight at the first visit (<14 weeks) was used as a proxy for pre-pregnancy weight. Food consumption was assessed using the 24HR method, administered twice at each gestational trimester, and dietary patterns were identified by principal component analysis. Three dietary patterns were identified: “Vegetables and Fruits,” “Western,” and “Brazilian Traditional.” Descriptive data analysis was performed using absolute and relative frequencies for each independent variable and multilevel mixed-effects logistic regression was used to analyze excessive gestational gain weight (EGWG) and dietary patterns (DP). The Brazilian Traditional dietary pattern showed a protective effect on EGWG (p = 0.04) and age > 35 years (p = 0.03), while subjects overweight at baseline had a higher probability of EGWG (p = 0.02), suggesting that the identification of dietary and weight inadequacies should be observed from the beginning of pregnancy, accompanied by nutritional intervention and weight monitoring throughout the gestational period to reduce risks to the mother and child’s health.

Gestational weight gain in the REVAMP pregnancy cohort in Western India: Comparison with international and national references

Objective

To determine the trimester specific gestational weight gain (GWG) in a population of pregnant women from Western India and compare it with the Intergrowth-21st international and an Indian reference (GARBH-Ini cohort-Group for Advanced Research on BirtH outcomes).

Study design

A prospective longitudinal observational study was undertaken in Pune, West India and data for gestational weight gain was collected [the REVAMP study (Research Exploring Various Aspects and Mechanisms in Preeclampsia)]. Generalized Additive Models for Location, Scale and Shape method (GAMLSS model) were used to create GWG centile curves according to gestational age, stratified by BMI at recruitment (n = 640) and compared with Intergrowth-21st reference and GARBH-Ini cohort. Multivariable regression analysis was used to evaluate the relationship between GWG and antenatal risk factors.

Results

The median GWG was 1.68, 5.80, 7.06, and 11.56 kg at gestational ages 18, 26, 30, and 40 weeks, respectively. In our study, pregnant women gained less weight throughout pregnancy compared to Intergrowth-21st study, but more weight compared to the GARBH-Ini cohort centile curves in all the BMI categories. GWG in overweight/obese women (BMI ≥ 25) was significantly lower (<0.001) as compared to underweight (BMI < 18.5), or normal weight women (BMI ≥ 18.5 and <25). The median GWG at 40 weeks in underweight, normal and overweight/obese women was 13.18, 11.74, and 10.48 kg, respectively. Higher maternal BMI, older maternal age, higher parity and higher hemoglobin concentrations were associated with lower GWG, while taller maternal height was associated with greater GWG.

Conclusion

GWG of Indian women is lower than the prescriptive standards of the Intergrowth charts.

The Association between Dietary Patterns and Pre-Pregnancy BMI with Gestational Weight Gain: The "Born in Shenyang" Cohort

The reported associations of maternal dietary patterns during pregnancy with gestational weight gain are inconsistent, especially among the less studied Asian Chinese populations. In a prospective pre-birth cohort study conducted in northern China, we determined the associations between maternal dietary patterns and the probability of excess gestational weight gain (EGWG) among 1026 pregnant women. We used 3-day food diaries to assess maternal diet and performed principal component analysis to identify dietary patterns. Maternal adherence to a traditional pattern, which was characterized by a higher intake of tubers, vegetables, fruits, red meat, and rice, was associated with a higher probability of EGWG (quartile 3 vs. quartile 1, odds ratio [OR] = 1.62, 95% confidence interval [CI] = 1.10−2.38). This risk association was more pronounced among women who were overweight/obese before pregnancy (quartile 4 vs. quartile 1, OR = 5.17, 95% CI = 1.45−18.46; p for interaction < 0.01). Maternal adherence to a high protein pattern, which was characterized by a higher intake of fried foods, beans and bean products, dairy products, and fruits, was associated with a lower risk of EGWG (quartile 3 vs. quartile 1, OR = 0.56, 95% CI, 0.39−0.81). The protective association was more pronounced among non-overweight/obese women (p for interaction < 0.01). These findings may help to develop interventions and better define target populations for EGWG prevention.

Regular weighing to prevent excessive gestational weight gain: a study protocol for a systematic review and meta-analysis

BACKGROUND

Excessive weight gain during pregnancy results in maternal and fetal complications and could further impact offspring. The evidence regarding the association between regular weighing during the antenatal period and excessive weight gain is limited.

METHODS

We will systematically review individual and cluster randomized controlled trials that evaluated regular weighing as an intervention compared to weighing only at the first booking of the antenatal visit. Trials that assessed the effectiveness of exercise, diet, or other behavioral interventions will be excluded. Pregnant women with a singleton pregnancy and no preexisting health complications are eligible for the review. The primary outcome will be the proportion of women at term who exceed the upper limit of the target range of weight as defined by the guidelines or recommendations for the population. We will search MEDLINE (via PubMed), Embase (via EMBASE.com ), Scopus, the Cumulative Index to Nursing and Allied Health Literature (CINAHL via EBSCO), The Cochrane Central Register of Controlled Trials (CENTRAL) and the trial protocol registers, ClinicalTrials.gov , and the International Clinical Trials Registry Platform (ICTRP) search portal. Full-text articles, unpublished studies, and ongoing trials reported in any language will be included. Two review authors will independently examine and screen for eligible studies and extract data for synthesis.

DISCUSSION

We will discuss the effectiveness of regular weighing as a single intervention on reducing the proportion of women who have excessive gestational weight gain. This study will provide key information for countries to develop guidelines on antenatal care and strategies to tackle excessive gestational weight gain. We will create a "Summary of findings" table (Summary of findings table 1) according to the methods described in the Cochrane Handbook for Systematic Reviews of Interventions.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42020212581.

Determinants of excessive gestational weight gain: a systematic review and meta-analysis

Background

The prevalence of excessive gestational weight gain (EGWG) during pregnancy is increasing, and it is extremely harmful to pregnant women and newborns. Previous studies have suggested that EGWG is associated with various factors. We conducted a systematic review and meta-analysis to identify, quantify and analyze determinants of EGWG and evaluate the effect of these determinants on EGWG.

Methods

We searched for articles, from January 2009 to November 2020, related to the determinants of EGWG during pregnancy using four Chinese and four English databases. The Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) statement was utilized to guide the systematic review and meta-analysis process.

Results

Seventy studies, which identified EGWG factors in pregnant women (58 factors, 3 themes: individual [7 aspects, 37 factors]; family [4 aspects, 8 factors]; and social [4 aspects, 13 factors]), were included and analyzed in the systematic review. A meta-analysis was conducted for 13 factors (including 10 individual factors, 2 family factors, and 1 social factor) and revealed that pre-pregnancy overweight (including obesity), younger age (≤ 30 years old), unemployed, primiparity, smoking, and being unmarried (including divorced) were risk factors for EGWG, while prepregnancy underweight and inadequate antenatal care were protective factors for EGWG. There was no significant correlation between EGWG and education level, alcohol consumption, planning pregnancy, food security, and whether access to nutrition guidance during pregnancy.

Conclusions

EGWG was prevalent in pregnant women, and its prevalence seemed to be high and similar in many countries. Based on observational studies with medium-level and high-level evidence, some individual, family, and social factors were found to be associated with EGWG using qualitative and quantitative methods. In the future, exposure of pregnant women to risk factors for EGWG should be avoided, and interventions should be developed around the identified factors.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13690-022-00864-9.

Dietary Patterns during Pregnancy and Gestational Weight Gain: A Systematic Review

The present systematic review (PROSPERO: CRD42020148630) hypothesizes the association of excessive weight gain during pregnancy with dietary patterns composed of ultraprocessed foods. Thus, the objective was to investigate the association between dietary patterns after analysis and weight gain during pregnancy. The search for articles was performed in nine databases. Two reviewers selected the articles in the databases and extracted from them the data used in the review. Two scales were used to evaluate the quality of the selected studies: New Castle-Ottawa Quality Assessment for cohort-based studies and Appraisal tool for Cross-Sectional Studies (AXIS) for cross-sectional-based studies. In total, 11 studies were identified with sample size variation (n = 173-5,733). Women presenting more adherence to healthy and traditional patterns (fruits, vegetables, salads, nuts, and dairy) recorded less excessive gestational weight gain (GWG). Higher intake of mixed patterns and western patterns rich in ultraprocessed foods were associated with a higher prevalence of excessive GWG (24.48-55.20%). Gestational dietary patterns a posteriori-derived that have presented ultraprocessed components rich in fat and sugars presented association with high GWG; healthy and traditional dietary patterns were related to better mother-child health conditions, such as adequate GWG.

Associations of perinatal exposure to PM2.5 with gestational weight gain and offspring birth weight

BACKGROUND

PM_2.5 have been associated with weight change in animal models and non-pregnant populations. Evidence of associations between PM_2.5 and gestational weight gain (GWG), an important determinant of course and outcomes of pregnancy, and subsequent birth outcomes is limited.

METHODS

The study was conducted among a subset of participants from the Omega Study, a prospective pregnancy cohort. Exposure to PM_2.5 (μg/m³) was ascertained for participants (N = 855) based on their residential address using a validated national spatiotemporal model. Adjusted multivariable linear regression models were used to estimate associations of trimester-specific and pregnancy-month PM_2.5 exposures with early (<20 weeks gestation), late (≥20 weeks gestation), and total GWG and infant birth weight. Stratified models and product terms were used to examine whether pre-pregnancy BMI (ppBMI) and infant sex modified the associations.

RESULTS

Average monthly PM_2.5 exposure during the first, second, and third trimesters were 7.3 μg/m³, 7.9 μg/m³, and 7.7 μg/m³, respectively. Higher third trimester PM_2.5 exposure was associated with higher late (0.40 kg per 5 μg/m (McDowell et al., 2018); 95%CI: 0.12, 0.67) and total (0.35 kg; 95%CI: 0.01, 0.70) GWG among participants with normal ppBMI. Higher second month PM_2.5 exposure was associated with lower early (-0.70 kg; 95%CI: 1.22, -0.18), late (-0.84 kg; 95% CI: 1.54, -0.14), and total (-1.70 kg; 95%CI: 2.57, -0.82) GWG among participants with overweight/obese ppBMI. Product terms between PM_2.5 and ppBMI were significant for second month PM_2.5 exposure and early (p-value = 0.01) and total GWG (p-value<0.01). Higher third trimester PM_2.5 exposure was associated with higher birth weight, though higher fourth month PM_2.5 exposure was associated with lower birth weight, particularly among those with normal ppBMI and male infants.

CONCLUSIONS

Associations of PM_2.5 with GWG vary by exposure window and ppBMI, while associations of PM_2.5 with birth weight potentially vary by exposure window, ppBMI and infant sex. Further exploration of associations between PM_2.5 and maternal/child health outcomes are needed.

Effects of continuous glucose monitoring on maternal and neonatal outcomes in perinatal women with diabetes: A systematic review and meta-analysis of randomized controlled trials

AIMS

This systematic review aims to assess the effects of continuous glucose monitoring (CGM) on maternal and neonatal outcomes in perinatal women with diabetes.

METHODS

A three-step comprehensive search was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guideline. Randomized controlled trials (RCTs) were retrieved from international databases of PubMed, Embase, Cochrane Library, CINAHL, PsycINFO and Scopus from their respective inception dates until 5th January 2021. Comprehensive Meta-Analysis Software Version 3 was used. The overall effect was determined using Hedges' g. Cochrane collaboration's tool version 1 and grading of recommendations, assessment, development and evaluation criteria were used for quality assessment.

RESULTS

A total of 1215 records were identified and 10 RCTs involving a total of 1358 perinatal women were selected. The meta-analysis revealed that CGM significantly improved HbA1c levels (g = -0.43, 95% CI: -0.63, -0.22), lowered cesarean section rate (g = -0.17, 95% CI: -0.33, -0.02) and neonatal birth weight (g = -0.16, 95% CI: -0.27, -0.04) when compared to the comparator. The majority (86.67%) has a low risk of biases and certainty of evidence ranged from very low to moderate.

CONCLUSION

CGM improves maternal and neonatal outcomes. Future studies should use well-designed large-scale trials.

Pre-conception and prenatal factors influencing gestational weight gain: a prospective study in Tigray region, northern Ethiopia

Background

In low-income countries, the high prevalence of pre-pregnancy undernutrition remains a challenge for the future health of women and their offspring. On top of good nutrition, adequate gestational weight gain has been recognized as an essential prerequisite for optimal maternal and child health outcomes. However, good-quality data on factors influencing gestational weight gain is lacking. Therefore, this study was aimed to prospectively identify pre-conception and prenatal factors influencing gestational weight gain in Ethiopia.

Methods

A population based prospective study was undertaken between February 2018 and January 2019 in the Tigray region, northern Ethiopia. Firstly, the weight of non-pregnant women of reproductive age living in the study area was measured between August and October 2017. Subsequently, eligible pregnant women identified during the study period were included consecutively and followed until birth. Data were collected through an interviewer-administered questionnaire and anthropometric measurements complemented with secondary data. Gestational weight gain, i.e., the difference between 32 to 36 weeks of gestation and pre-pregnancy weights, was classified as per the Institute of Medicine (IOM) guideline. Linear, spline, and logistic regression models were used to estimate the influence of pre-conception and prenatal factors on gestational weight gain.

Results

The mean gestational weight gain (standard deviation[SD]) was 10.6 (2.3) kg. Overall, 64.0% (95% CI 60.9, 67.1) of the women did not achieve adequate weight gain. Factors associated with higher gestational weight gain were higher women empowerment (B 0.60, 95% CI 0.06, 1.14), dietary diversity (B 0.39, 95% CI 0.03, 0.76), pre-pregnancy body mass index (B 0.13, 95% CI 0.05, 0.22), and haemoglobin (B 0.54, 95% CI 0.45, 0.64). Additionally, adequate prenatal care (B 0.58, 95% CI 0.28, 0.88) was associated with higher gestational weight gain.

Conclusions

Adequate gestational weight gain was not achieved by most women in the study area, primarily not by those who were underweight before pregnancy. Interventions that advance women’s empowerment, dietary quality, pre-pregnancy nutritional status, and prenatal care utilization may improve gestational weight gain and contribute to optimizing maternal and child health outcomes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-021-04171-z.

Gestational weight gain in a migration context: are migrant women more at risk of inadequate or excessive weight gain during pregnancy?

BACKGROUND

Inadequate or excessive gestational weight gain (GWG) is associated with adverse maternal and neonatal outcomes. Little is known on adequacy of GWG in migrant women. This study investigates whether migrant women in France are at higher risk of inadequate or excessive GWG, and what characteristics are associated with GWG in migrant and non-migrant groups.

METHODS

We used data from the PreCARE multicentric prospective cohort (N=10 419). The study includes 5403 women with singleton deliveries, with non-migrant (n=2656) and migrant (n=2747) status. We used multinomial logistic regression, adjusting for maternal age and parity, to investigate the association of migrant status, socioeconomic status-related variables and GWG. In stratified analyses, we identified factors associated with GWG in both groups.

RESULTS

Compared with non-migrant women, migrant women had increased risk of inadequate GWG (adjusted odds ratio (aOR) 1.18; 95% CI 1.03 to 1.34). Non-migrant women with foreign origins had increased risk of excessive GWG (aOR 1.58; 95% CI 1.30 to 1.92). Women born in Sub-Saharan Africa had increased risk of both inadequate and excessive GWG. Regardless of migration status, women with lower education and women who did not start pregnancy with a normal weight were less likely to gain adequately. Inadequate prenatal care was associated with inadequate GWG only among non-migrant women.

CONCLUSION

Migrant women are at higher risk of inadequate GWG.

Demographic and social-cognitive factors associated with gestational weight gain in an Australian pregnancy cohort

AIM

To identify and describe the demographic and social-cognitive factors associated with excessive gestational weight gain using the Weight-Related Behaviours Questionnaire, within an Australian pregnancy cohort.

BACKGROUND

Supporting women to achieve optimal weight gain in pregnancy is complex. Social-cognitive factors are recognised antecedents to, and mediators of, weight related behaviour change. Less is known about their role during pregnancy.

METHODS

159 women enrolled in a pregnancy cohort study completed the Weight-Related Behaviours Questionnaire (WRBQ) at approximately 19 weeks gestation, and total gestational weight gain was later measured at 36 weeks. Summary scores were reported descriptively. Multivariable logistic regression was used to test demographic (maternal age, pre pregnancy body mass index, parity, smoking status, marital status, education) and social-cognitive factors (weight locus of control, self- efficacy, attitudes towards weight gain, body image, feelings about motherhood, career orientation) as predictors of excessive gestational weight gain.

FINDINGS

Maternal age was the sole demographic factor predictive of excessive gestational weight gain. Older participants (34-41 yrs) were less likely to gain excessive weight when compare to younger participants (18-24 yrs): Odds Ratio 0.20, 95% Confidence Interval 0.05, 0.82. Body image (measured as personal satisfaction and perception of own weight) was the sole social-cognitive factor associated with excessive gestational weight gain. For every one unit improvement in body image score, there was a 33% decreased odds of excessive gestational weight gain (OR 0.67, 95% CI 0.53, 0.85).

CONCLUSION

This study suggests that younger maternal age and lower perceived body image are predictive of excessive gestational weight gain.

Obesity can offset the cardiometabolic benefits of gestational exercise

Pregnancy exercise can prevent excessive gestational weight gain (EGWG), gestational diabetes mellitus (GDM) and hypertension (GH), but inter-individual variability has not been explored. We aimed to analyze the prevalence--and potential sociodemographic and medical predictors of--non-responsiveness to gestational exercise, and the association of non-responsiveness with adverse pregnancy outcomes. Among 688 women who completed a supervised light-to-moderate intensity exercise program (three ~1-h sessions/week including aerobic, resistance, and pelvic floor muscle training) until near-term, those who showed EGWG, GDM or GH were considered 'non-responders'. A low prevalence of non-responders was observed for GDM (3.6%) and GH (3.4%), but not for EGWG (24.2%). Pre-pregnancy obesity was the strongest predictor of non-responsiveness for GH (odds ratio 8.40 [95% confidence interval 3.10-22.78] and EGWG (5.37 [2.78-10.39]), whereas having a highest education level attenuated the risk of being non-responder for GDM (0.10 [0.02-0.49]). Non-responsiveness for EGWG was associated with a higher risk of prolonged labor length, instrumental/cesarean delivery, and macrosomia, and of lower Apgar scores. No association with negative delivery outcomes was found for GDM/GH. In summary, women with pre-pregnancy obesity might require from additional interventions beyond light-to-moderate intensity gestational exercise (e.g., diet and/or higher exercise loads) to ensure cardiometabolic benefits.

[Does Apolipoprotein B Level in Early Pregnancy Predict Excessive Gestational Weight Gain and Adverse Pregnancy Outcome?]

INTRODUCTION

Excessive maternal gestational weight gain (GWG) is a risk factor for maternal and fetal complications. The lipid profile changes physiologically during pregnancy. Weight gain can affect lipid metabolism. The hypothesis of the study was that apoB levels early in pregnancy are associated with excessive GWG and predictive for adverse outcomes.

METHODS

Out of 547 patients there were 95 women with inadequate GWG, 171 with adequate GWG, and 281 with excessive GWG. Out of 581 patients there were 14 patients with pregnancy-induced hypertonus/pre-eclampsia, 67 with small-for-gestational-age (SGA) infants, and 7 with fetal growth restriction (FGR). ApoB levels were measured by ELISA.

RESULTS

There was no significant difference in apoB levels between the different GWG groups. We found significantly higher levels of apoB in overweight and obese patients compared to those with normal BMI. Smoking was correlated with higher apoB levels. There were no differences either between women with PIH/PE and normotensive women or between SGA/IUGR and pregnancies without. Women with pre-existing hypertension showed significantly higher apoB levels than the control group.

CONCLUSIONS

ApoB cannot be used as a marker for identifying the risk of excessive GWG or adverse pregnancy outcomes early in pregnancy. However, it may be involved in the pathophysiology of adverse pregnancy outcomes in high-risk patients.