Evidence map›Paper›PMID 35884079›Full record

ArticleChildren (Basel, Switzerland)2022

Comparison of Different Nutritional Screening Approaches and the Determinants of Malnutrition in Under-Five Children in a Marginalized District of Punjab Province, Pakistan.

Muhammad Shahid, Yongshuan Liu, Waqar Ameer, Madeeha Gohar Qureshi, Farooq Ahmed, Kun Tang

Open access · goldAbstract read
In one paragraph

Article in Children (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 32% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

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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 at 5 institutions in 2 countries.

Muhammad ShahidVanke School of Public Health, Tsinghua University, Beijing 100084, China.ORCID 0000-0001-6506-1785
Yongshuan LiuParty Committee Office, University of International Business and Economics (UIBE), Beijing 100029, China.
Waqar AmeerDepartment of Economics, Shandong Business and Technology University, Yantai 264005, China.
Madeeha Gohar QureshiDepartment of Economics, Pakistan Institute of Development Economics, Islamabad 44000, Pakistan.ORCID 0000-0002-9148-3508
Farooq AhmedVanke School of Public Health, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-4668-2882
Kun TangVanke School of Public Health, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-5444-186X
University of International Business and Economics · CNPakistan Institute of Development Economics · PKQuaid-i-Azam University · PKShandong Institute of Business and Technology · CNVanke (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis research measures the occurrence of malnutrition amongst under-five children in the Rahimyar Khan district of Southern Punjab in Pakistan. Employing different anthropometric measurement approaches such as (1) conventional indices (HAZ, WAZ, and WHZ), (2) CIAF, (3) BMI-for-age, and (4) MUAC, we compare their estimated results and examine the relationship between socioeconomic determinants and different anthropometric indicators.

methodsThe study employs a proportional purposive random sampling method to collect data from 384 rural households in the community-based study using a self-administered survey and following the Lady Health Workers (LHWs) registered records. The nutritional status of 517 under-five children is measured with references to WHO (2009) child growth standards. Furthermore, the investigation used the model of binary logistic regression to measure the impact of socioeconomic factors on child malnutrition.

resultsCompared with other approaches, the CIAF identifies more malnourished children (63%). The results of binary logistic regression illustrate that all the explanatory variables indicate a more significant empirical association with CIAF than conventional indices, BMI-for-age, and MUAC.

conclusionCIAF is a more reliable tool for assessing child nutrition because it not only demonstrates more accurate estimates of malnutrition but also recognizes children with multiple anthropometric failures.

Indexed as

body mass indexcomposite index of anthropometric failuremalnutritionmid-upper arm circumstancesPakistanstuntingunderweightwasting

Identifiers

PMID35884079
PMCPMC9316579
OpenAlexW4286111557

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.