Evidence map›Paper›PMID 35232371›Full record

ArticleBMC geriatrics2022

Gender differences in the association of obesity-related measures with multi-morbidity among older adults in India: evidence from LASI, Wave-1.

T Muhammad, Bandita Boro, Manish Kumar, Shobhit Srivastava

Abstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
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  5. The Genetic Blueprint of Obesity: From Pathogenesis to Novel Therapies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  6. Article
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  12. Prevalence and Correlates of Malnutrition in Nuh District, Haryana State, India.The American journal of tropical medicine and hygiene · 2024
    Article
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  14. Article
  15. Review
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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

4 authors.

T MuhammadInternational Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.ORCID 0000-0003-1486-7038
Bandita BoroCentre for the Study of Regional Development (CSRD), School of Social Sciences-3 (SSS 3), Jawaharlal Nehru University (JNU), New Delhi, 110067, India.
Manish KumarInternational Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.
Shobhit SrivastavaInternational Institute for Population Sciences, Mumbai, Maharashtra, 400088, India. shobhitsrivastava889@gmail.com.ORCID 0000-0002-7138-4916

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCo-existence of multiple chronic diseases is increasingly becoming a norm among ageing population. The study aims to investigate the prevalence of multimorbidity and the association between anthropometric measures of obesity and multimorbidity among men and women aged 60 years and above in India.

methodsThe present study is based on the first wave of the Longitudinal Aging Study in India. The analytical sample size for the study was 28,050 older adults aged 60 years and above. Descriptive statistics and multivariable analysis using logistic regression models were conducted.

resultsBody Mass Index (BMI) based-obesity is more prevalent among older women than men (26.3% vs. 17.6%). Similarly, higher proportion of older women was at high-risk waist circumference (37.1% vs 8.9%) and waist-hip ratio (78.5 vs 75.4%) than men respectively. In Model-I, after controlling for several covariates, older adults with overweight/obesity were 1.6 times more likely to have multi-morbidity than non-obese older adults (Adjusted OR = 1.61; 95% CI: 1.48-1.74). Similarly, older adults with high-risk waist circumference [Adjusted OR: 1.66; 95% CI: 1.52-1.80] and waist-hip ratio [Adjusted OR: 1.45; 95% CI: 1.33-1.59] also had higher odds of having multi-morbidity in reference to their counterparts. In model-3 it was found that females with high-risk waist-hip ratio had 14% lower odds of multimorbidity than males with high-risk waist-hip ratio [Adjusted OR: 0.86; 95%CI: 0.78-0.94].

conclusionThe findings of the study show significant gender difference in the prevalence of multimorbidity, men being at increased risk in the multivariate analysis which is uncommon in the existing epidemiological research. Interactive effect of male gender with anthropometric measures on multimorbidity reported in our study probably due to increased unhealthy behaviours among men requires further research.

Indexed as

MultimorbidityObesityAgedBody Mass IndexCross-Sectional StudiesFemaleHumansIndiaMaleRisk FactorsSex FactorsWaist-Hip RatioIndiaMultimorbidityObesity-related measureOlder adults

Identifiers

PMID35232371
PMCPMC8886975

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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.