On the Study of Pre-Pregnancy Body Mass Index (BMI) and Weight Gain as Indicators of Nutritional Status of Pregnant Women Belonging to Low Socio-Economic Category: A Study from Assam

Environmental factors associated with excessive gestational weight gain: a meta-analysis and systematic review

The aim is, systematically examine the scientific evidences that associated environmental factors (environment, social environment, environmental planning and spatial population distribution) with the excessive gestational weight gain. A meta-analysis and systematic review carried out as per the Cochrane Handbook recommendations and following the steps recommended by the Preferred Reporting Items for Systematic Reviews and Meta-Analyzes. The inclusion studies were done with the following PECO criteria: P-pregnant women, E-environmental factors, O-weight gain. The search procedure was conducted on the databases EMBASE, Web of Science, Cinahl, LILACS and MEDLINE (PubMed). The relationship between the socioeconomic factors of the micro-region of residence and gestational weight gain was evidenced by the linkage between residing in high-poverty neighborhoods and inadequate gestational weight gain. This study revealed the higher prevalence of excessive gestational weight gain in pregnant women those lives in urban areas. Environmental factors of the pregnant women's residence area implicated in the excessive gestational weight gain. Our findings can therefore contribute to the development of public policies to prevent inadequate gestational weight gain.

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.

Environmental and individual factors associated with gestational weight gain

BACKGROUND

Environmental factors have an impact on inappropriate food choices and sedentary lifestyle, and both individually and in combination these factors favour improper gestational weight gain (GWG) and consequent maternal and neonatal health problems. The objective of this study was to analyze the environmental and individual factors associated with GWG.

METHODS

Data were from "Born in Belo Horizonte: Survey on childbirth and birth", a hospital-based retrospective cohort of 506 pregnant women with deliveries in public and private maternity hospitals in Belo Horizonte, Minas Gerais. Data were collected via face-to-face interviews from November 2011 to March 2013. The outcome variable of this study was the GWG categorized based on the Institute of Medicine Guidelines. Explanatory environmental variables included the availability and access to food environment and places available for physical activity in the neighborhood. Explanatory individual variables included socioeconomic and demographic, obstetric and childbirth variables. Generalized estimating equations examined the association of environmental and individual factors with insufficient or excessive GWG.

RESULTS

The final sample consisted of 506 mothers. There was 36.4% pregnant women showing excessive GWG and 22.7% showing GWG below the recommended interval. Regarding excessive GWG, there was a positive association with the number of mixed food purchasing establishments close to the place of residence, pre-pregnancy body mass index in the categories of overweight and obesity, arterial hypertension and the private sector as the predominant place for prenatal consultations.

CONCLUSION

GWG outside of the recommended interval was associated with individual and environmental factors, and most pregnant women had insufficient or excessive gestational weight gain. Such results can complement previously published evidence, important for creating more effective strategies for the prevention of excessive and inadequate GWG and the consequent problems related to it during pregnancy.

Gestational weight gain trajectories in GARBH-Ini pregnancy cohort in North India and a comparative analysis with global references

BACKGROUND

To describe the pattern of gestational weight gain (GWG), derive reference centiles for GWG specific to North Indian population, and to compare the weight gain across different periods of gestation with the INTERGROWTH-21st reference.

METHODS

A prospective pregnancy (GARBH-Ini) cohort was initiated and followed between May 2015 and June 2019 in a district hospital, Gurguram, North India. GWG centile curves were modelled by Generalized Additive Models for Location, Scale and Shape method (n = 2844) and compared with INTERGROWTH-21st reference. The independent association of GWG with biological and social predictors was assessed using multivariable regression analysis.

RESULTS

Percentiles (3rd, 10th, 50th, 90th and 97th) for each completed week from 18-40 weeks of gestation were derived from smoothed centile curves. The median GWG across pregnancy during specific antenatal visits was 1.29 at 18, 4.44 at 26, 5.8 at 30 and 9.06 kg at 40 weeks of gestation. Nearly 26% of participants had GWG < 10th centile at 18-20 weeks as per INTERGROWTH-21st reference and this increased to 45% at delivery. Significant predictors of GWG included maternal age, height, first trimester body mass index, parity, type of family, and use of clean fuel for cooking.

CONCLUSION

These GWG percentiles will serve as a useful reference, particularly during the WHO recommended antenatal visit schedule for optimum pregnancy outcomes, for clinicians and researchers. Multiple independent biological and social predictors of GWG suggest that single interventions are unlikely to bridge the gap between general Indian population and international references.

Association of maternal obesity with fetal and neonatal death: Evidence from South and South-East Asian countries

BACKGROUND

Obesity prevalence is increasing in many countries in the world, including Asia. Maternal obesity is highly associated with fetal and neonatal deaths. This study investigated whether maternal obesity is a risk factor of fetal death (measured in terms of miscarriage and stillbirth) and neonatal mortality in South and South-East Asian countries.

METHODS

This cross-sectional study pooled the most recent Demographic and Health Surveys (DHS) from eight South and South-East Asian countries (2014-2018). Multivariate logistic regression was deployed to check the relationships between maternal obesity with fetal and neonatal deaths. Finally, multilevel logistic regression model was employed since the DHS data has a hierarchical structure.

RESULTS

The pooled logistic regression model illustrated that maternal obesity is associated with higher odds of miscarriage (adjusted odds ratio [aOR]: 1.26, 95% CI: 1.20-1.33) and stillbirths (aOR: 1.46, 95% CI: 1.27-1.67) after adjustment of confounders. Children of obese mothers were at 1.18 (aOR: 1.18, 95% CI: 1.08-1.28) times greater risk of dying during the early neonatal period than mothers with a healthy weight. However, whether maternal obesity is statistically a significant risk factor for the offspring's late neonatal deaths was not confirmed. The significant association between maternal obesity with miscarriage, stillbirth and early neonatal mortality was further confirmed by multilevel logistic regression results.

CONCLUSION

Maternal obesity in South and South-East Asian countries is associated with a greater risk of fetal and early neonatal deaths. This finding has substantial public health implications. Strategies to prevent and reduce obesity should be developed before planning pregnancy to reduce the fetal and neonatal death burden. Obese women need to deliver at the institutional facility centre that can offer obstetrics and early neonatal care.

Maternal anemia and underweight as determinants of pregnancy outcomes: cohort study in eastern rural Maharashtra, India

OBJECTIVES

To study the trend in the prevalence of anaemia and low BMI among pregnant women from Eastern Maharashtra and evaluate if low BMI and anaemia affect pregnancy outcomes.

DESIGN

Prospective observational cohort study.

SETTING

Catchment areas of 20 rural primary health centres in four eastern districts of Maharashtra State, India.

PARTICIPANTS

72 750 women from the Nagpur site of Maternal and Newborn Health Registry of NIH's Global Network, enrolled from 2009 to 2016.

MAIN OUTCOME MEASURES

Mode of delivery, pregnancy related complications at delivery, stillbirths, neonatal deaths and low birth weight (LBW) in babies.

RESULTS

Over 90% of the women included in the study were anaemic and over a third were underweight (BMI <18 kg/m2) and with both conditions. Mild anaemia at any time during delivery significantly increased the risk (Risk ratio; 95% confidence interval (RR;(95% CI)) of stillbirth (1.3 (1.1-1.6)), neonatal deaths (1.3 (1-1.6)) and LBW babies (1.1 (1-1.2)). The risks became even more significant and increased further with moderate/severe anaemia any time during pregnancy for stillbirth (1.4 (1.2-1.8)), neonatal deaths (1.7 (1.3-2.1)) and LBW babies (1.3 (1.2-1.4)).,. Underweight at anytime during pregnancy increased the risk of neonatal deaths (1.1 (1-1.3)) and LBW babies (1.2;(1.2-1.3)).The risk of having stillbirths (1.5;(1.2-1.8)), neonatal deaths (1.7;(1.3-2.3)) and LBW babies (1.5;(1.4-1.6)) was highest when - the anaemia and underweight co-existed in the included women. Obesity/overweight during pregnancy increased the risk of maternal complications at delivery (1.6;(1.5-1.7)) and of caesarean section (1.5;(1.4-1.6)) and reduced the risk of LBW babies 0.8 (0.8-0.9)).

CONCLUSION

Maternal anaemia is associated with enhanced risk of stillbirth, neonatal deaths and LBW. The risks increased if anaemia and underweight were present simultaneously.

TRIAL REGISTRATION NUMBER

NCT01073475.