» Articles » PMID: 23782957

Trends in Overweight by Educational Level in 33 Low- and Middle-income Countries: the Role of Parity, Age at First Birth and Breastfeeding

Overview
Journal Obes Rev
Specialty Endocrinology
Date 2013 Jun 21
PMID 23782957
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

This study examined trends in overweight among women of reproductive age by educational level in 33 low- and middle-income countries, and estimated the contribution of parity, age at first birth and breastfeeding to these trends. We used repeated cross-sectional Demographic Health Surveys of 255,828 women aged 25-49 years interviewed between 1992 and 2009. We applied logistic regression to model overweight (>25 kg m(-2) ) as a function of education, reproductive variables and time period by country and region. The prevalence of overweight ranged from 3.4% in South and Southeast Asia to 73.7% in North Africa West/Central Asia during the study period. The association between education and overweight differed across regions. In North Africa West/Central Asia and Latin American, lower education was associated with higher overweight prevalence, while the inverse was true in South/Southeast Asia and Sub-Saharan Africa. In all regions, there was a consistent pattern of increasing overweight trends across all educational groups. Older age at first birth, longer breastfeeding and lower parity were associated with less overweight, for differences by educational level in overweight prevalence and trends.

Citing Articles

Prevalence and predictors of overweight and obesity among women of childbearing age in the province of Essaouira, Morocco.

Manoussi A, Nacer N, Kajjoune I, Baali A, Amor H, Ouzennou N BMC Public Health. 2025; 25(1):135.

PMID: 39806327 PMC: 11727736. DOI: 10.1186/s12889-025-21353-y.


Factors associated with chronic energy malnutrition among reproductive-age women in Ethiopia: An analysis of the 2016 Ethiopia demographic and health survey data.

Dagnew G, Asresie M PLoS One. 2020; 15(12):e0243148.

PMID: 33306693 PMC: 7732111. DOI: 10.1371/journal.pone.0243148.


Patterns and risk factors of double burden of malnutrition among adolescent girls and boys in Indonesia.

Maehara M, Rah J, Roshita A, Suryantan J, Rachmadewi A, Izwardy D PLoS One. 2019; 14(8):e0221273.

PMID: 31430324 PMC: 6701791. DOI: 10.1371/journal.pone.0221273.


Ethnic differences in body mass index trajectories from 18 years to postpartum in a population-based cohort of pregnant women in Norway.

Kinnunen T, Richardsen K, Sletner L, Torgersen L, Sommer C, Waage C BMJ Open. 2019; 9(2):e022640.

PMID: 30798304 PMC: 6398684. DOI: 10.1136/bmjopen-2018-022640.


Obesity matters but is not perceived: A cross-sectional study on cardiovascular disease risk factors among a population-based probability sample in rural Zambia.

Tateyama Y, Techasrivichien T, Musumari P, Suguimoto S, Zulu R, Macwangi M PLoS One. 2018; 13(11):e0208176.

PMID: 30496252 PMC: 6264511. DOI: 10.1371/journal.pone.0208176.


References
1.
Popkin B, Adair L, Ng S . Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 2012; 70(1):3-21. PMC: 3257829. DOI: 10.1111/j.1753-4887.2011.00456.x. View

2.
Monteiro C, Conde W, Popkin B . Independent effects of income and education on the risk of obesity in the Brazilian adult population. J Nutr. 2001; 131(3):881S-886S. DOI: 10.1093/jn/131.3.881S. View

3.
Galobardes B, Shaw M, Lawlor D, Lynch J, Davey Smith G . Indicators of socioeconomic position (part 1). J Epidemiol Community Health. 2005; 60(1):7-12. PMC: 2465546. DOI: 10.1136/jech.2004.023531. View

4.
Sobal J, Stunkard A . Socioeconomic status and obesity: a review of the literature. Psychol Bull. 1989; 105(2):260-75. DOI: 10.1037/0033-2909.105.2.260. View

5.
Hruschka D, Brewis A . Absolute wealth and world region strongly predict overweight among women (ages 18-49) in 360 populations across 36 developing countries. Econ Hum Biol. 2012; 11(3):337-44. DOI: 10.1016/j.ehb.2012.01.001. View