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ArticlePloS one2025

Towards a new perspective: Exploring the variability of conditional risk factors for multimorbidity susceptibility among older adults in India.

Ajay Kumar, Suryakant Yadav

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07574424 (Normative Values For Physical Fitness Among Healthy Adults), which is not on this 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.

NCT07574424 enrolling by invitationnot on this mapstarted 2026, after this paper: background citation

Normative Values For Physical Fitness Among Healthy Adults

TypeobservationalSponsorRiphah International UniversityRan2026 to 2026Enrolled800ConditionsHealthy Adults
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

2 authors.

Ajay KumarDepartment of Biostatistics and Epidemiology, International Institute for Population Sciences (IIPS), Mumbai, India.ORCID 0009-0001-7485-9059
Suryakant YadavDepartment of Biostatistics and Epidemiology, International Institute for Population Sciences (IIPS), Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a lack of substantive evidence on the epidemiology of multimorbidity in low and middle-income countries (LMICs). India is also undergoing through the major demographic shift marked by the rapidly aging population and followed by significantly elevated implications to multimorbidity risk. These implications include an increased risk of functional limitations, poor quality of life, and delayed mortality pattern but expanding morbidity burden among older adults. This study aimed to characterize the distribution, pattern and further provide an understanding of the conditional role of risk factors for multimorbidity susceptibility among older adults in India.

methodsThe study utilized data on 66,606 individuals form the national representative Longitudinal Ageing Study in India (LASI), Wave - 1, of individuals aged 45 years and above. To understands the distribution, prevalence and pattern of morbidities and multimorbidity we characterized and calculated the weighted frequency distribution, chi-square test for association and stacked area plot for relative burden of multimorbidity over age. Finally, we constructed the Classification and Regression Trees (CART) model to further identify the optimal leading covariates and their conditional role on multimorbidity susceptibility among older adults in India.

resultsHypertension showed the highest prevalence (26.72%) and highest age-specific relative proportional share, followed by myopia (24.2%), hypermetropia (20.75%) and gastrointestinal condition (17.98%). Single morbidity prevalence was 23.78%, and multimorbidity was 50.94% and the relative prevalence share of multimorbidity over age expanded by 25.16% from the 45-49 to 85+ age group. The CART model identified that childhood health, place of residence, age, body mass index, caste category and education level were the leading risk factors for multimorbidity susceptibility among older adults in India. The highest susceptibility of multimorbidity with a risk of 0.57 was observed among individuals who had moderate to poor childhood health. Conversely, those adults who had good childhood health, resided in rural areas, underweighted or normal BMI and belonged to the Schedule tribe had the lowest risk of multimorbidity (0.19).

conclusionThis study offers a comprehensive analysis of multimorbidity among older adults in India, revealing a risk burden driven by aging, poor childhood health, and socioeconomic disparities. By using an inclusive morbidity framework and CART modeling, it underscores the multifactorial nature of multimorbidity and highlights key interconnected determinants for future policy interventions.

Indexed as

MultimorbidityAgedAged, 80 and overFemaleHumansHypertensionIndiaLongitudinal StudiesMaleMiddle AgedPrevalenceRisk Factors

Identifiers

PMID40526621
PMCPMC12173406

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Registered trials

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.