Gestational weight gain in low-income and middle-income countries: a modelling analysis using nationally representative data

被引:29
|
作者
Wang, Dongqing [1 ]
Wang, Molin [2 ]
Darling, Anne Marie [1 ]
Perumal, Nandita [1 ]
Liu, Enju [3 ]
Danaei, Goodarz [4 ]
Fawzi, Wafaie W. [5 ]
机构
[1] Harvard Univ, TH Chan Sch Publ Hlth, Dept Global Hlth & Populat, Boston, MA 02115 USA
[2] Harvard Univ, TH Chan Sch Publ Hlth, Dept Biostat, Dept Epidemiol, Boston, MA 02115 USA
[3] Boston Childrens Hosp, Inst Ctr Clin & Translat Res, Boston, MA USA
[4] Harvard Univ, TH Chan Sch Publ Hlth, Dept Epidemiol, Dept Global Hlth & Populat, Boston, MA 02115 USA
[5] Harvard Univ, TH Chan Sch Publ Hlth, Dept Nutr, Dept Epidemiol,Dept Global Hlth & Populat, Boston, MA 02115 USA
来源
BMJ GLOBAL HEALTH | 2020年 / 5卷 / 11期
关键词
epidemiology; maternal health; public health; PREPREGNANCY BODY-MASS; SYSTEMATIC ANALYSIS; PRETERM BIRTH; OBESITY; OVERWEIGHT; PREGNANCY; HEALTH; TRENDS; RISK; ASSOCIATIONS;
D O I
10.1136/bmjgh-2020-003423
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] The socioeconomic gradient of alcohol use: an analysis of nationally representative survey data from 55 low-income and middle-income countries
    Xu, Yuanwei
    Geldsetzer, Pascal
    Manne-Goehler, Jen
    Theilmann, Michaela
    Marcus, Maja-E
    Zhumadilov, Zhaxybay
    Quesnel-Crooks, Sarah
    Mwalim, Omar
    Moghaddam, Sahar Saeedi
    Koolaji, Sogol
    Karki, Khem B.
    Farzadfar, Farshad
    Ebrahimi, Narges
    Damasceno, Albertino
    Aryal, Krishna K.
    Agoudavi, Kokou
    Atun, Rifat
    Baernighausen, Till
    Davies, Justine
    Jaacks, Lindsay M.
    Vollmer, Sebastian
    Probst, Charlotte
    [J]. LANCET GLOBAL HEALTH, 2022, 10 (09): : E1268 - E1280
  • [2] Brucellosis in low-income and middle-income countries
    Rubach, Matthew P.
    Halliday, Jo E. B.
    Cleaveland, Sarah
    Crump, John A.
    [J]. CURRENT OPINION IN INFECTIOUS DISEASES, 2013, 26 (05) : 404 - 412
  • [3] Anaemia in low-income and middle-income countries
    Balarajan, Yarlini
    Ramakrishnan, Usha
    Oezaltin, Emre
    Shankar, Anuraj H.
    Subramanian, S. V.
    [J]. LANCET, 2011, 378 (9809): : 2123 - 2135
  • [4] Children's height and weight in rural and urban populations in low-income and middle-income countries: a systematic analysis of population-representative data
    Paciorek, Christopher J.
    Stevens, Gretchen A.
    Finucane, Mariel M.
    Ezzati, Majid
    [J]. LANCET GLOBAL HEALTH, 2013, 1 (05): : E300 - E309
  • [5] Antibiotic consumption in low-income and middle-income countries
    Hamers, Raph L.
    van Doorn, H. Rogier
    [J]. LANCET GLOBAL HEALTH, 2018, 6 (07): : E732 - E732
  • [6] Surgical services in low-income and middle-income countries
    Spiegel, David A.
    Gosselin, Richard A.
    [J]. LANCET, 2007, 370 (9592): : 1013 - 1015
  • [7] Tobacco killing in low-income and middle-income countries
    不详
    [J]. LANCET, 2012, 379 (9822): : 1172 - 1172
  • [8] Alcohol burden in low-income and middle-income countries
    Connor, Jason P.
    Hall, Wayne
    [J]. LANCET, 2015, 386 (10007): : 1922 - 1924
  • [9] Cancer burden in low-income and middle-income countries
    Anandasabapathy, Sharmila
    Asirwa, Chite
    Grover, Surbhi
    Mungo, Chemtai
    [J]. NATURE REVIEWS CANCER, 2024, 24 (03) : 167 - 170
  • [10] Cancer burden in low-income and middle-income countries
    Sharmila Anandasabapathy
    Chite Asirwa
    Surbhi Grover
    Chemtai Mungo
    [J]. Nature Reviews Cancer, 2024, 24 : 167 - 170