Association of Low Birth Weight with the Risk of Childhood Stunting in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis.

BACKGROUND: Stunting is an important predictor of growth and development of children under 5 years of age, and it remains the significant problem in LMIC. However, LBW emerges as risk factor, but its association with LMIC needs attention. OBJECTIVE: This systematic review and meta-analysis aimed to investigate the association of low birth weight with the risk of childhood stunting among the age group of 0-5 years in LMICs. METHODS: PubMed, Google Scholar, MEDLINE, Embase, and Web of Science databases were searched from January 1, 2010 untill December 20, 2021. Cross-sectional, cohort, and case-control study designs were included in the meta-analyses. The pooled odds ratio with a 95% confidence interval was reported considering the random-effects and the quality-effects models. The subgroup analysis and meta-regression were conducted for study design, geographical location, and sample size. RESULTS: Low birth weight was associated with >2-fold increased risk of childhood stunting (pooled OR: 2.32; 95% CI, 2.05-2.62). Asian studies have shown relatively higher risk than African studies in stratified analyses. The cohort studies predicted a higher risk of childhood stunting, followed by case-control and cross-sectional study designs, and the sample size stratification showed that studies with sample size <1,000 predicted much higher risk than relatively to the studies with sample size >1,000. The meta-regression was performed in all three subgroups, but none of the models appeared significant. CONCLUSION: This meta-analysis confirmed the association of low birth weight with the higher risk of childhood stunting among the 0-5 years' age group and suggests a moderately higher risk in Asia as compared to Africa.

Impact of maternal pre-pregnancy body mass index on maternal, fetal and neonatal adverse outcomes in the worldwide populations: A systematic review and meta-analysis.

OBJECTIVE: Systematic review and meta-analysis conducted to investigate the effect of stratified pre-pregnancy maternal body mass index on twenty maternal and fetal/neonatal adverse outcomes. METHODS: PubMed, Google Scholar, Medline, Embase, Web of Science databases were searched from inception till July 11, 2020. Cohort studies were included. The pooled odds ratio with 95% confidence interval was reported considering the random effect and the quality effect model. The sub-group analysis and meta-regression were conducted for BMI cut-offs, geographical region, source of BMI, and sample size. RESULTS: Overall, 86 studies representing 20,328,777 pregnant women were included in this meta-analysis. Our study reveals that overweight and obese mothers are at increased odds of cesarean delivery, elective cesarean delivery, emergency cesarean delivery, gestational diabetes, gestational hypertension, induction of labor, postpartum hemorrhage, pre-eclampsia, pre-term premature rupture of membrane, and the fetuses/neonates of overweight and obese mothers are at increased risk of admission in the newborn intensive care unit, APGAR scores less than 7 at 5 min, large for gestational age, macrosomia, extreme pre-term birth in pregnant mothers compared with standard BMI mothers. However, the underweight mothers showed increased odds for small for gestational age infant and pre-term birth, whereas obese mothers were at higher risk for post-term birth and stillbirths. The subgroup and meta-regression analyses have shown the impact of BMI cut-offs, geographical region, source of BMI, and sample size on several maternal, fetal/neonatal adverse outcomes. CONCLUSION: The meta-analysis confirmed the association of elevated pre-pregnancy maternal BMI with higher odds of adverse maternal and fetal/neonatal outcomes.

Gestational route to healthy birth (GaRBH): protocol for an Indian prospective cohort study.

INTRODUCTION: Pregnancy is characterised by a high rate of metabolic shifts from early to late phases of gestation in order to meet the raised physiological and metabolic needs. This change in levels of metabolites is influenced by gestational weight gain (GWG), which is an important characteristic of healthy pregnancy. Inadequate/excessive GWG has short-term and long-term implications on maternal and child health. Exploration of gestational metabolism is required for understanding the quantitative changes in metabolite levels during the course of pregnancy. Therefore, our aim is to study trimester-specific variation in levels of metabolites in relation to GWG and its influence on fetal growth and newborn anthropometric traits at birth. METHODS AND ANALYSIS: A prospective longitudinal study is planned (start date: February 2018; end date: March 2023) on pregnant women that are being recruited in the first trimester and followed in subsequent trimesters and at the time of delivery (total 3 follow-ups). The study is being conducted in a hospital located in Bikaner district (66% rural population), Rajasthan, India. The estimated sample size is of 1000 mother-offspring pairs. Information on gynaecological and obstetric history, socioeconomic position, diet, physical activity, tobacco and alcohol consumption, depression, anthropometric measurements and blood samples is being collected for metabolic assays in each trimester using standardised methods. Mixed effects regression models will be used to assess the role of gestational weight in influencing metabolite levels in each trimester. The association of maternal levels of metabolites with fetal growth, offspring's weight and body composition at birth will be investigated using regression modelling. ETHICS AND DISSEMINATION: The study has been approved by the ethics committees of the Department of Anthropology, University of Delhi and Sardar Patel Medical College, Rajasthan. We are taking written informed consent after discussing the various aspects of the study with the participants in the local language.