Regional education and wealth-related inequalities in malnutrition among women in Bangladesh

Dados Bibliográficos

ID15091069
AutoresSorif Hossain (0000-0001-8399-4917, University of Dhaka), Md Mohsan Khudri (0000-0003-4960-2259, University of Memphis, autor correspondente), Rajon Banik (0000-0003-3411-0470, Jahangirnagar University)
Ano2022
Volume25
Fascículo6
Páginas1639-1657
Data de publicação2022-06-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoPublic Health Nutrition (JOURNAL)
Identificadores do periódicoISSN: 1368-9800 • E-ISSN: 1475-2727
EditoraCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980021003840
PMID34482847
OpenAlexW3198747117
IdiomaEN
Citações recebidas2
Referências citadas42

Objectives: This paper examines the associations of socio-economic and demographic correlates with malnutrition among women and investigates education and wealth-related inequalities in malnutrition among women by region. Design: We utilise a two-level mixed-effects logistic regression model to evaluate the associations and employ the concentration, Wagstaff and Erreygers’s correction indices to measure socio-economic inequalities in malnutrition among women. Setting: Bangladesh Demographic and Health Survey data. Participants: Non-pregnant women aged 15–49 years. Results: We find evidence of a significant cluster effect in the data. Women’s age, marital status, total children ever born, education level, husband’s/partner’s education level, residence and wealth index appear to be significantly associated with women underweight and overweight/obesity status. Underweight status is higher among less-educated women and women from poor households, whereas overweight/obesity is more concentrated among higher educated women and women from wealthy households. The southwestern region of the country demonstrates lower education and wealth-related inequalities in malnutrition among women. In contrast, the central and the northeastern areas apparently experience the highest education and wealth-related inequalities in malnutrition among women. The regional differences in predicted probabilities of being underweight shrink at higher education level and the richest quintile, whereas the differences in overweight/obese diminish at the primary education level and lower quintile households. Conclusions: Our findings strengthen the evidence base for effective regional policy interventions to mitigate education and wealth-related inequalities in malnutrition among women. There is a need for developing regional awareness programmes and establishing regional monitoring cells to ensure proper health and nutrition facilities in underprivileged regions

Economics · Environmental health · Inequality · Logistic regression · Malnutrition · Marital status · Obesity · Overweight · Population · Psychological intervention · Residence · Socioeconomic status · Socioeconomics · Sociology · Underweight · Child Nutrition and Water Access · Demography · Food Security and Health in Diverse Populations · Medicine · Poverty, Education, and Child Welfare