Author
Listed:
- Anne Marie Darling
- Dongqing Wang
- Nandita Perumal
- Enju Liu
- Molin Wang
- Tahmeed Ahmed
- Parul Christian
- Kathryn G Dewey
- Gilberto Kac
- Stephen H Kennedy
- Vishak Subramoney
- Brittany Briggs
- Wafaie W Fawzi
- members of the GWG Pooling Project Consortium
Abstract
Background: Many women experience suboptimal gestational weight gain (GWG) in low- and middle-income countries (LMICs), but our understanding of risk factors associated with GWG in these settings is limited. We investigated the relationships between demographic, anthropometric, lifestyle, and clinical factors and GWG in prospectively collected data from LMICs. Methods and findings: We conducted an individual participant-level meta-analysis of risk factors for GWG outcomes among 138,286 pregnant women with singleton pregnancies in 55 studies (27 randomized controlled trials and 28 prospective cohorts from 25 LMICs). Data sources were identified through PubMed, Embase, and Web of Science searches for articles published from January 2000 to March 2019. Titles and abstracts of articles identified in all databases were independently screened by 2 team members according to the following eligibility criteria: following inclusion criteria: (1) GWG data collection took place in an LMIC; (2) the study was a prospective cohort or randomized trial; (3) study participants were pregnant; and (4) the study was not conducted exclusively among human immunodeficiency virus (HIV)-infected women or women with other health conditions that could limit the generalizability of the results. The Institute of Medicine (IOM) body mass index (BMI)-specific guidelines were used to determine the adequacy of GWG, which we calculated as the ratio of the total observed weight gain over the mean recommended weight gain. Study outcomes included severely inadequate GWG (percent adequacy of GWG 125). Multivariable estimates from each study were pooled using fixed-effects meta-analysis. Study-specific regression models for each risk factor included all other demographic risk factors measured in a particular study as potential confounders, as well as BMI, maternal height, pre-pregnancy smoking, and chronic hypertension. Risk factors occurring during pregnancy were further adjusted for receipt of study intervention (if any) and 3-month calendar period. The INTERGROWTH-21st standard was used to define high and low GWG among normal weight women in a sensitivity analysis. The prevalence of inadequate GWG was 54%, while the prevalence of excessive weight gain was 22%. In multivariable models, factors that were associated with a higher risk of inadequate GWG included short maternal stature (
Suggested Citation
Anne Marie Darling & Dongqing Wang & Nandita Perumal & Enju Liu & Molin Wang & Tahmeed Ahmed & Parul Christian & Kathryn G Dewey & Gilberto Kac & Stephen H Kennedy & Vishak Subramoney & Brittany Brigg, 2023.
"Risk factors for inadequate and excessive gestational weight gain in 25 low- and middle-income countries: An individual-level participant meta-analysis,"
PLOS Medicine, Public Library of Science, vol. 20(7), pages 1-35, July.
Handle:
RePEc:plo:pmed00:1004236
DOI: 10.1371/journal.pmed.1004236
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