Gestational weight gain in low-income and middle-income countries
A modelling analysis using nationally representative data
Bibliographic Data
| ID | 21881162 |
|---|---|
| Authors | Dongqing Wang (0000-0003-3369-5972, Harvard University, corresponding author), Molin Wang (0000-0003-1951-8961, Harvard University), Anne Marie Darling (0000-0002-2282-7696, Harvard University), Nandita Perumal (0000-0003-3624-4405, Harvard University), Enju Liu (0000-0002-5732-3359, Boston Children's Hospital), Goodarz Danaei (0000-0003-2456-5463, Harvard University), Wafaie W Fawzi (0000-0002-2908-600X, Harvard University, corresponding author) |
| Year | 2020 |
| Volume | 5 |
| Issue | 11 |
| Pages | e003423 |
| Publication date | 2020-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMJ Global Health (JOURNAL) |
| Journal identifiers | ISSN: 2059-7908 • E-ISSN: 2059-7908 |
| Publisher | BMJ (PUBLISHER • GB) |
| DOI | 10.1136/bmjgh-2020-003423 |
| PMID | 33177038 |
| OpenAlex | W3099360869 |
| Language | EN |
| Citations received | 8 |
| References cited | 39 |
INTRODUCTION: Gestational weight gain (GWG) has important implications for maternal and child health and is an ideal modifiable factor for preconceptional and antenatal care. However, the average levels of GWG across all low-income and middle-income countries of the world have not been characterised using nationally representative data. METHODS: GWG estimates across time were computed using data from the Demographic and Health Surveys Program. A hierarchical model was developed to estimate the mean total GWG in the year 2015 for all countries to facilitate cross-country comparison. Year and country-level covariates were used as predictors, and variable selection was guided by the model fit. The final model included year (restricted cubic splines), geographical super-region (as defined by the Global Burden of Disease Study), mean adult female body mass index, gross domestic product per capita and total fertility rate. Uncertainty ranges (URs) were generated using non-parametric bootstrapping and a multiple imputation approach. Estimates were also computed for each super-region and region. RESULTS: Latin America and Caribbean (11.80 kg (95% UR: 6.18, 17.41)) and Central Europe, Eastern Europe and Central Asia (11.19 kg (95% UR: 6.16, 16.21)) were the super-regions with the highest GWG estimates in 2015. Sub-Saharan Africa (6.64 kg (95% UR: 3.39, 9.88)) and North Africa and Middle East (6.80 kg (95% UR: 3.17, 10.43)) were the super-regions with the lowest estimates in 2015. With the exception of Latin America and Caribbean, all super-regions were below the minimum GWG recommendation for normal-weight women, with Sub-Saharan Africa and North Africa and Middle East estimated to meet less than 60% of the minimum recommendation. CONCLUSION: The levels of GWG are inadequate in most low-income and middle-income countries and regions. Longitudinal monitoring systems and population-based interventions are crucial to combat inadequate GWG in low-income and middle-income countries
Economic growth · Economics · Family planning · Geography · Gross domestic product · Latin Americans · Per capita · Population · Total fertility rate · Child Nutrition and Water Access · Demography · Gestational Diabetes Research and Management · Global Maternal and Child Health
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| Citations per year | 1.6 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |