Evidence map›Paper›PMID 34530789›Full record

ArticleBMC public health2021

Nutritional status and concomitant factors of stunting among pre-school children in Malda, India: A micro-level study using a multilevel approach.

Rayhan Sk, Anuradha Banerjee, Md Juel Rana

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In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

3 authors.

Rayhan SkCentre for the Study of Regional Development, School of Social Sciences, JNU, New Delhi, India. rayhangog@gmail.com.ORCID 0000-0002-3067-9638
Anuradha BanerjeeCentre for the Study of Regional Development, School of Social Sciences, JNU, New Delhi, India.
Md Juel RanaInternational Institute for Population Sciences, Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalnutrition was the main cause of death among children below 5 years in every state of India in 2017. Despite several flagship programmes and schemes implemented by the Government of India, the latest edition of the Global Nutrition Report 2018 addressed that India tops in the number of stunted children, which is a matter of concern. Thus, a micro-level study was designed to know the level of nutritional status and to study this by various disaggregate levels, as well as to examine the risk factors of stunting among pre-school children aged 36-59 months in Malda.

methodA primary cross-sectional quantitative survey was conducted using structured questionnaires following a multi-stage, stratified simple random sampling procedure in 2018. A sum of 731 mothers with at least one eligible child aged 36-59 months were the study participants. Anthropometric measures of children were collected following the WHO child growth standard. Children were classified as stunted, wasted, and underweight if their HAZ, WHZ, and WAZ scores, respectively, were less than -2SD. The random intercept multilevel logistic regression model has been employed to estimate the effects of possible risk factors on childhood stunting.

resultsThe prevalence of stunting in the study area is 40% among children aged 36-59 months, which is a very high prevalence as per the WHO's cut-off values (≥40%) for public health significance. Results of the multilevel analysis revealed that preceding birth interval, low birth weight, duration of breastfeeding, mother's age at birth, mother's education, and occupation are the associated risk factors of stunting. Among them, low birth weight (OR 2.22, 95% CI: 1.44-3.41) and bidi worker as mothers' occupation (OR 1.92, 95% CI: 1.18-3.12) are the most influencing factors of stunting. Further, about 14 and 86% variation in stunting lie at community and child/household level, respectively.

conclusionSpecial attention needs to be placed on the modifiable risk factors of childhood stunting. Policy interventions should direct community health workers to encourage women as well as their male partners to increase birth interval using various family planning practices, provide extra care for low birth weight baby, that can help to reduce childhood stunting.

Indexed as

MalnutritionNutritional StatusChildChild, PreschoolCross-Sectional StudiesFemaleGrowth DisordersHumansIndiaInfantMalePrevalenceRisk FactorsBidi workerIndiaIntegrated child development servicesLow birth weightMaldaMultilevel analysisPOSHAN AbhiyanStunting

Identifiers

PMID34530789
PMCPMC8447797

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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.