Evidence map›Paper›PMID 40629290›Full record

ArticleBMC geriatrics2025

Association of childhood disadvantage with malnutrition in older ages in India.

Akancha Singh, Aparajita Chattopadhyay, Neha Shri

Abstract read
In one paragraph

Article in BMC geriatrics, 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.

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper 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

3 authors.

Akancha SinghDepartment of Population and Development, International Institute for Population Sciences, Mumbai, 400088, Maharashtra, India. aksin176@gmail.com.ORCID http://orcid.org/0000-0002-6381-228X
Aparajita ChattopadhyayDepartment of Population and Development, International Institute for Population Sciences, Mumbai, 400088, Maharashtra, India.ORCID http://orcid.org/0000-0002-1722-4268
Neha ShriDepartment of Survey Research and Data Analytics, International Institute for Population Sciences, Mumbai, 400088, Maharashtra, India.ORCID http://orcid.org/0000-0003-4512-2450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMuch research on the association between childhood status and adult health has been focussed on high income countries and, hence, these findings cannot be generalised for all developing economies. Therefore, this study is an attempt to systematically examine the impact of multiple domains of early disadvantage on nutrition status during old age in India, while testing for potential mediation by adult health, socio-economic status and lifestyle.

methodsThe study uses data from the first wave of the Longitudinal Ageing Study in India (LASI), 2017-18. Binary logistic regression was used to assess the adjusted association of childhood and adulthood conditions with nutrition status. Two separate models were run for underweight and overweight. We used the structural equation modelling (SEM) approach to construct latent variables and structural models to test our hypothetical model.

resultsThe SEM explained 78% of the variance in underweight. The direct effect of education and childhood conditions on underweight was significant. The SEM explained 68% of the variance in overweight. Results shows that the direct effect of education and working status on overweight was significant. The indirect and total effect of childhood conditions on overweight was significant.

conclusionThe study underscores the importance of considering both direct and indirect effects in understanding the pathways through which early life experiences influence nutritional status in old age. The unexpected finding regarding the direct effect of childhood conditions on overweight in the Indian context raises important questions about the complexities of nutrition and health in this population.

Indexed as

MalnutritionNutritional StatusAgedAged, 80 and overChildFemaleHumansIndiaLongitudinal StudiesMaleMiddle AgedOverweightSocioeconomic FactorsThinnessAdulthoodBMIChildhoodEarly lifeIndiaMediationOlder adults

Identifiers

PMID40629290
PMCPMC12235777

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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.