SEARCHCROSS-SECTIONALnutrition, epidemiology

cross-sectional·nutrition, epidemiology, public health, pediatrics, obstetrics and gynecology·PMC10174032

Triple burden of malnutrition among mother–child pairs in low-income and middle-income countries: a cross-sectional study

BMJ Open · 8 authors, 5 centres

AI SUMMARY

FIDELITY 100%

POPULATIONWomen and children in low-income and middle-income countries

INTERVENTION

COMPARISON

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AGENT 01 · STRUCTURED SUMMARY

TRACE TO SOURCE

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TL;DR

The pooled prevalence was 11.39%.

Full summary

398 CHARS

The pooled prevalence was 11.39%. Multilevel logistic regression identified several associated factors; for example, maternal age ≥35 years (AOR 2.25), family size >10 (AOR 1.17), caesarean delivery (AOR 1.93), and the richest household wealth (AOR 1.72) showed positive associations. Breastfeeding (AOR 0.94), improved toilet (AOR 0.23), and rural residence (AOR 0.66) showed inverse associations.

PICO

PPOPULATION

Women and children in low-income and middle-income countries

OOUTCOME

Triple burden of malnutrition (overweight/obese mother with undernourished and anaemic child under 5 years of age)

STUDY TYPE

cross-sectional

SPECIALTY

nutrition

SUMMARISED BY

AI pipeline

FIDELITY CHECK

100% · A

ORIGINAL PAPER

PMC10174032

Triple burden of malnutrition among mother–child pairs in low-income and middle-income countries: a cross-sectional study

BMJ Open

READ THE FULL PAPER

ABSTRACT

Abstract Objective This study aimed to assess the prevalence and determinants of the triple burden of malnutrition among mother–child pairs in low-income and middle-income countries. Design Cross-sectional study. Setting Low-income and middle-income countries. Participants Women and children. Primary outcome Triple burden of malnutrition (overweight/obese mother with undernourished and anaemic under 5 years child). Methods Data for this study were drawn from recent 22 low-income and middle-income countries Demographic and Health Surveys. A total weighted sample of 116 795 mother–child pairs was included in the study. STATA V.14.2 was used to clean, code and analyse the data. Multilevel logistic regression was employed to identify factors associated with the problem. Adjusted OR (AOR) with 95% CI and a p<0.05 was reported to indicate statistical association. Model fitness and comparison were done using intraclass correlation coefficient, median OR, proportional change in variance and deviance. Result The pooled prevalence of the triple burden of malnutrition among mother–child pairs was 11.39%. It showed statistically significant positive associations with mothers aged ≥35 years (AOR 2.25, 95% CI 2.08 to 2.44), family size >10 (AOR 1.17, 95% CI 1.08 to 1.26), delivery by caesarean section (AOR 1.93, 95% CI 1.83 to 2.03), the richest household (AOR 1.72, 95% CI 1.56 to 1.88), grand multiparous (AOR 1.62, 95% CI 1.46 to 1.81), age of child 36–47 months (AOR 1.77, 95% CI 1.64 to 1.90), at a p<0.05. Whereas breast feeding (AOR 0.94, 95% CI 0.89 to 0.99), married mothers (AOR 0.87, 95% CI 0.78 to 0.96), female children (AOR 0.88, 95% CI 0.84 to 0.92), improved toilet (AOR 0.23, 95% CI 0.17 to 0.29), improved source of drinking water (AOR 0.28, 95% CI 0.21 to 0.35), rural residents (AOR 0.66, 95% CI 0.62 to 0.69) had a contrasting relationship with the triple burden of malnutrition. Conclusion About 1 out of 10 households suffer from the triple burden of malnutrition in low-income and middle-income countries. This study revealed that several maternal, child, household and community-level factors have a significant impact on the triple burden of malnutrition among mother–child pairs. Keywords: NUTRITION & DIETETICS, EPIDEMIOLOGY, PUBLIC HEALTH, Health policy, Community child health

CITATION EXPORT

Dagmawi Chilot, Daniel Gashaneh Belay, Mehari Woldemariam Merid et al.. Triple burden of malnutrition among mother–child pairs in low-income and middle-income countries: a cross-sectional study. BMJ Open. (2023). https://doi.org/10.1136/bmjopen-2022-070978

AUTHORS

8 · 5 CENTRES

Dagmawi Chilot, Daniel Gashaneh Belay, Mehari Woldemariam Merid, Anteneh Ayelign Kibret, Adugnaw Zeleke Alem, Melaku Hunie Asratie, Nahom Worku Teshager, Fantu Mamo Aragaw

1Department of Human Physiology, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia
2Department of Human Anatomy, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia
3Department of Epidemiology and Biostatistics, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia
4Department of women and family health, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia
5Department of pediatrics, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia