Evidence map›Paper›PMID 41041180›Full record

ArticleJournal of family medicine and primary care2025

A cross-sectional study - Assessment of nutritional status and associated factors among under 5-year urban slum children.

Neha Kaler, Simmi Oberoi, Hemkiran Singh, Manhardeep Kaur, Rajinder S Balgir

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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

1 citing paper in PubMed.

  1. Addressing urban child malnutrition through a maternal nutrition lens.Journal of family medicine and primary care · 2026
    Article
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

5 authors.

Neha KalerDepartment of Community Medicine, Government Medical College (GMC), Patiala, Punjab, India.
Simmi OberoiDepartment of Community Medicine, Government Medical College (GMC), Patiala, Punjab, India.
Hemkiran SinghDepartment of Anatomy, Maharishi Markandeshwar University (MMU), Mullana, Haryana, India.
Manhardeep KaurDepartment of Health and Family Welfare, Office of Directorate of Health Services, Chandigarh, Punjab, India.
Rajinder S BalgirDepartment of Community Medicine, Government Medical College (GMC), Patiala, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Childhood is the most vulnerable phase in the life of a human being. Nutritional insufficiency during this period of life results in growth faltering. In India as per NFHS-5 (2019-21), 35.5% of the children below 5 years of age are stunted, 32.1% are underweight and 19.3% are wasted. Anthropometric assessment is routinely used and often regarded as the best single measure for health and nutritional status in children. This study aims to find the association between various factors and nutritional status of under 5-year children. Methodology: A cross-sectional study was conducted in the urban slums (Sular) of Patiala city. House to house survey was conducted. Three hundred and fifty children were included in the study. Socio-demographic profile, biological factors, child feeding practices and anthropometric measurements of the children were recorded and associations were analyzed using chi square test. Results: 48.86% children were of 1 Conclusion: Presence of exclusive breast feeding, higher educational qualification of mother and the higher socio- economic status are the positive influencers and protect the children against malnutrition.

Indexed as

Anthropometric measurementsexclusive breastfeedingstuntingunder five childrenunderweighturban slumswasting

Identifiers

PMID41041180
PMCPMC12488090

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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.