Evidence map›Paper›PMID 24846016›Full record

ArticlePloS one2014

Poor nutrition status and associated feeding practices among HIV-positive children in a food secure region in Tanzania: a call for tailored nutrition training.

Bruno F Sunguya, Krishna C Poudel, Linda B Mlunde, David P Urassa, Junko Yasuoka, Masamine Jimba

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Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Bruno F SunguyaDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Krishna C PoudelDepartment of Public Health, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.
Linda B MlundeDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
David P UrassaSchool of Public Health and Social Sciences, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Junko YasuokaDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Masamine JimbaDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methodsWe conducted this mixed-method study among 748 children aged 6 months-14 years attending 9 of a total of 32 care and treatment centers in Tanga region, Tanzania. We collected quantitative data using a standard questionnaire and qualitative data through seven focus group discussions (FGDs).

resultsHIV-positive children had high magnitudes of undernutrition. Stunting, underweight, wasting, and thinness were prevalent among 61.9%, 38.7%, 26.0%, and 21.1% of HIV-positive children, respectively. They also had poor feeding practices: 88.1% were fed at a frequency below the recommendations, and 62.3% had a low level of dietary diversity. Lower feeding frequency was associated with stunting (β = 0.11, p = 0.016); underweight (β = 0.12, p = 0.029); and thinness (β = 0.11, p = 0.026). Lower feeding frequency was associated with low wealth index (β = 0.06, p<0.001), food insecurity (β =  -0.05, p<0.001), and caregiver's education. In the FGDs, participants discussed the causal relationships among the key associations; undernutrition was mainly due to low feeding frequency and dietary diversity. Such poor feeding practices resulted from poor nutrition knowledge, food insecurity, low income, and poverty.

conclusionFeeding practices and nutrition status were poor among HIV-positive children even in food rich areas. Improving feeding frequency may help to ameliorate undernutrition. To improve it, tailored interventions should target children of poor households, the food insecure, and caregivers who have received only a low level of education.

Indexed as

Feeding BehaviorAdolescentChildChild, PreschoolCross-Sectional StudiesFemaleFood SupplyHIV SeropositivityHumansInfantMaleMalnutritionSocioeconomic FactorsTanzania

Identifiers

PMID24846016
PMCPMC4028312

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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.