Evidence map›Paper›PMID 41348802›Full record

ArticlePloS one2025

The triple burden of malnutrition among adolescents in Dar es Salaam, Tanzania: The role of gender, household environment, and food insecurity.

Christina Kimaryo, Josephine Efraim, Nancy Njenge, Bruno Sunguya, Lyn Haskins, Anne Hatløy, Christiane Horwood

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Christina KimaryoCentre for International Health, University of Bergen, Bergen, Norway.ORCID https://orcid.org/0009-0007-8025-7226
Josephine EfraimCentre for International Health, University of Bergen, Bergen, Norway.
Nancy NjengeCentre for International Health, University of Bergen, Bergen, Norway.
Bruno SunguyaDepartment of Community Health, School of Public Health and Social Sciences, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Lyn HaskinsCentre for Rural Health, University of KwaZulu-Natal, Durban, South Africa.
Anne HatløyCentre for International Health, University of Bergen, Bergen, Norway.ORCID https://orcid.org/0000-0002-3668-3216
Christiane HorwoodCentre for Rural Health, University of KwaZulu-Natal, Durban, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdolescence is a critical growth period with increased nutritional needs that can put adolescents at risk for the triple burden of malnutrition, which can impair brain development, reduce functional capacity, and heighten the risk of non-communicable diseases. Despite this, there is limited data on factors associated with adolescent malnutrition in Dar es Salaam. This study aimed to determine the prevalence and associated factors for anaemia, stunting, underweight and overweight/obesity among adolescents in Dar es Salaam.

methodsA cross-sectional study was conducted among 507 adolescents aged 12-19 in Dar es Salaam, using multistage cluster sampling. Data was collected using a pre-validated structured questionnaire through an Open Data Kit, while anthropometric measurements were measured using a digital weighing scale and stadiometer. Hemocue machines were utilised to measure anaemia through capillary blood samples. Data analysis, including descriptive statistics and modified Poisson regression, was performed using Stata v18 to identify factors associated with malnutrition.

resultsOverweight affected 16%, anaemia 39%, stunting 23% and thinness 12% of all adolescents. Food insecurity affected 69% of the households and was associated with a lower overweight risk (Crude Prevalence Ratio (CPR) 0.51, 95% CI: 0.34-0.75, p = 0.001) and a higher risk for thinness (CPR 2.10, 95% CI: 1.13, 3.91, p = 0.019). After controlling for other explanatory variables, adolescents from households with unimproved toilet facilities had a higher risk of anaemia (APR 1.51, 95% CI: 1.16-1.95, p = 0.002). Girls had a lower risk of stunting (APR 0.63, 95%, CI: 0.45-0.88, p = 0.006) and thinness (APR 0.29, 95%, CI: 0.16-0.54, p < 0.001) but a higher risk for overweight (APR 2.62, 95%, CI: 1.56-4.43, p < 0.001) compared to boys.

conclusionAdolescents in Dar es Salaam experience high rates of malnutrition. Food insecurity, poor sanitation, and gender-specific factors contribute significantly to these outcomes. Integrated interventions are essential to address these interlinked determinants of malnutrition in this vulnerable group.

Indexed as

Food InsecurityMalnutritionAdolescentAnemiaChildCross-Sectional StudiesFamily CharacteristicsFemaleGrowth DisordersHumansMaleOverweightPrevalenceSex FactorsTanzaniaThinness

Identifiers

PMID41348802
PMCPMC12680259

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.