Costa Janaína Calu, Wang Dongqing, Wang Molin, Liu Enju, Partap Uttara, Cliffer Ilana, Fawzi Wafaie W
Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
International Center for Equity in Health, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.
PLOS Glob Public Health. 2024 Sep 4;4(9):e0003484. doi: 10.1371/journal.pgph.0003484. eCollection 2024.
Gestational weight gain (GWG) estimates enable the identification of populations of women at risk for adverse outcomes. We described GWG distribution in low- and middle-income countries (LMICs). Demographic and Health Surveys and other national surveys were used to calculate the average GWG by regressing the weight of pregnant women (15-49 years) at the time of the interview on their gestational age, adjusting for sociodemographic factors. A mixed-effects hierarchical model was built with survey-specific GWG as the dependent variable and restricted cubic splines for survey year, super-region, and country-level covariates (total fertility rate, gross domestic product, and average female body mass index) to predict the national, regional, and income level average GWG in 2020. Uncertainty ranges (UR) were obtained using bootstrap. Estimates were compared with the Institute of Medicine's GWG recommendations for women with normal weight (11.5kg) and underweight (12.5kg). Survey data were available for 70 LMICs (234 data points, 1991-2022). Predicted country-specific GWG for 2020 ranged from 2.6 to 13.5kg. Ten countries presented estimates above the recommendation for women with underweight; nine of which were from Central Europe, Eastern Europe, and Central Asia; apart from one, these were upper-middle income. Regional GWG was estimated at 5.4kg (95%UR 3.1,7.7) in Sub-Saharan Africa; 6.2kg (95%UR 3.4,9.0) in North Africa and the Middle East; 8.6kg (95%UR 6.0,11.3) in South Asia; 9.3kg (95%UR 6.2,12.3) in Southeast Asia, East Asia, and Oceania; 10.0kg (95%UR 7.1,12.9) in Latin America and the Caribbean; and 13.0kg (95%UR 9.0,16.9) in Central and Eastern Europe, and Central Asia. A gradient was observed across income: 5.3kg (95%UR 2.7,7.9) for low-income, 7.6kg (95%UR 5.2,10.1) for lower-middle-income, and 9.8kg (95%UR 7.1,12.5) for upper-middle-income countries. No income group achieved the minimum recommended weight gain. GWG was estimated to be insufficient in almost all LMICs. Improved data and monitoring are crucial for impactful interventions.
孕期体重增加(GWG)估计值有助于识别有不良结局风险的女性群体。我们描述了低收入和中等收入国家(LMICs)的GWG分布情况。利用人口与健康调查及其他国家调查,通过对访谈时(15 - 49岁)孕妇体重与其孕周进行回归分析,并对社会人口学因素进行调整,来计算平均GWG。构建了一个混合效应分层模型,以特定调查的GWG为因变量,以调查年份、超级区域和国家层面协变量(总和生育率、国内生产总值和女性平均体重指数)的受限立方样条为自变量,来预测2020年国家、区域和收入水平的平均GWG。使用自助法获得不确定范围(UR)。将估计值与美国医学研究所针对正常体重(11.5kg)和体重过轻(12.5kg)女性的GWG建议进行比较。有70个低收入和中等收入国家(234个数据点,1991 - 2022年)的调查数据可用。2020年预测的各国特定GWG范围为2.6至13.5kg。有10个国家的估计值高于体重过轻女性的建议值;其中9个国家来自中欧、东欧和中亚;除一个国家外,这些都是中高收入国家。撒哈拉以南非洲地区的GWG估计值为5.4kg(95%UR 3.1,7.7);北非和中东地区为6.2kg(95%UR 3.4,9.0);南亚地区为8.6kg(95%UR 6.0,11.3);东南亚、东亚和大洋洲地区为9.3kg(95%UR 6.2,12.3);拉丁美洲和加勒比地区为10.0kg(95%UR 7.1,12.9);中欧、东欧和中亚地区为13.0kg(95%UR 9.0,16.9)。观察到收入水平存在梯度差异:低收入国家为5.3kg(95%UR 2.7,7.9),中低收入国家为7.6kg(95%UR 5.2,10.1),中高收入国家为9.8kg(95%UR 7.1,12.5)。没有任何收入组达到建议的最低体重增加量。几乎所有低收入和中等收入国家的GWG估计值都不足。改进数据和监测对于有效的干预措施至关重要。