Evidence map›Paper›PMID 33592890›Full record

ArticleMedicine2021

Alarmingly high malnutrition in childhood and its associated factors: A study among children under 5 in Yemen.

Khaled Al-Zangabila, Sasmita Poudel Adhikari, Qingzhi Wang, Thankam S Sunil, Scott Rozelle, Huan Zhou

Abstract read
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

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.

Khaled Al-ZangabilaWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Sasmita Poudel AdhikariWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Qingzhi WangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Thankam S SunilWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Scott RozelleFreeman Spogli Institute for International Studies, Stanford University, California.
Huan ZhouWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-6709-5134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractChildhood malnutrition is a serious public health problem in Yemen. However, there is a limited information regarding association of malnutrition with different socio-economic factors. This study examines the correlates of socioeconomic and maternal behavioral factors on malnutrition in Yemeni children under 5 years of age.Our study focuses on the nutritional status of children under 5 years of age, and uses the data provided by the cross-sectional study namely Yemen National Demographic and Health Survey. Three anthropometric indicators: stunting, wasting, and underweight were selected for the evaluation of malnutrition. Independent variables include personal and maternal characteristics, socioeconomic and behavioral factors, and illness conditions. The study used the Chi-Squared test to test the significant association between independent variables and logistic regression to estimate the odds of being malnourished.A total of 13,624 Yemeni children under 5 years of age were included in the study. The results show the high malnutrition level - the prevalence of stunting was 47%, wasting was 16%, and underweight was 39%. There is a statistically significant association between socioeconomic status, behavioral factors, and child malnutrition. The odds of malnutrition decreased with the increase in the level of mother's education, economic status, and frequency of prenatal visits. The odds of malnutrition were least for children whose mothers had highest level of education (OR = 0.64; 95%CI = 0.55-0.76), who belonged to highest wealth index (OR = 0.41; 95%CI = 0.36-0.47). Moreover, the likelihood of malnutrition was less among the children whose mother had highest number of prenatal visits during the pregnancy (OR = 0.67; 95%CI = 0.59-0.76).The high prevalence of stunting, wasting, and undernutrition were found in Yemeni children. Different factors such as regional variations, socio-economic disparities, and maternal education and health care utilization behavior are found to be associated with high malnutrition. These findings provide important policy implications to improving childhood malnutrition in Yemen.

Indexed as

AnthropometryChild Nutrition DisordersChild, PreschoolCross-Sectional StudiesDemographyFemaleGrowth DisordersHumansInfantInfant, NewbornLogistic ModelsMaleNutritional StatusPrevalenceRisk FactorsSocial Class

Identifiers

PMID33592890
PMCPMC7870187

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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.