Evidence map›Paper›PMID 40346866›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2025

Gender and Age Differentials in Prevalence and Pattern of Nine Chronic Diseases Among Older Adults in India: An Analysis Based on Longitudinal Ageing Study in India.

Mrigesh Bhatia, Laxmi Kant Dwivedi, Priti Maurya, Sameer Dawoodi, Waquar Ahmed, Somnath Jana, Priyanka Dixit

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mrigesh BhatiaDepartment of Health Policy, London School of Economics, London, UK.ORCID 0000-0001-9366-142X
Laxmi Kant DwivediDepartment of Survey Research & Data Analytics, International Institute for Population Sciences, Mumbai, India.ORCID 0000-0001-9737-2844
Priti MauryaInternational Institute for Population Sciences, Mumbai, India.
Sameer DawoodiGastroenterology & Hepatology, SUNY Downstate Health Sciences University, Brooklyn, New York, USA.
Waquar AhmedSchool of Health Systems Studies, Tata Institute of Social Sciences (TISS), Mumbai, India.
Somnath JanaInternational Institute for Population Sciences, Mumbai, India.ORCID 0009-0000-5870-5247
Priyanka DixitSchool of Health Systems Studies, Tata Institute of Social Sciences (TISS), Mumbai, India.ORCID 0000-0003-4927-7716

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-communicable diseases (NCDs) account for a major portion of morbidity and mortality worldwide, with older persons being especially vulnerable due to age-related health concerns. The burden of chronic diseases among India's aging population is understudied, particularly in terms of gender and age differences. The study utilized data from the Longitudinal Ageing Study in India (LASI), wave 1 (2017-18), comprising a sample of 66,606 older adults aged 45 years and above. We performed a Mmultivariable logistic regression analysis to examine the age-gender differences in the prevalence and patterns of nine chronic diseases, namely hypertension, diabetes, cancer, chronic heart disease, stroke, psychiatric disorders, chronic lung disease, bone and joint diseases, and high cholesterol among older adults after adjusting for various socio-demographic and lifestyle factors. Compared to male respondents, female older respondents were less likely to have diabetes and stroke (in the 45-59 and 60-69 years age groups), chronic lung diseases (in the 45-59 years age group), and chronic heart diseases (in the 60-69 years age group). Conversely, in the 70 years and above age group, older female respondents had higher odds of having hypertension and bone and joint diseases compared to male respondents. The current study revealed significant gender and age-related differences in the prevalence and odds of all the nine selected diseases even adjusted for potential confounding factors. The findings highlight how urgently age- and gender-specific treatments are needed to reduce inequities in chronic diseases, boost positive health outcomes, and improve the quality of life for India's aging populations.

Indexed as

AgingNoncommunicable DiseasesAgedAge FactorsChronic DiseaseDiabetes MellitusFemaleHumansHypertensionIndiaLongitudinal StudiesMaleMiddle AgedNeoplasmsPrevalenceRisk FactorsBone and joint DiseasesCancerchronic diseasesChronic Heart DiseasesChronic lung DiseasesDiabetesgender disparitiesHigh CholesterolHypertensionLongitudinal Ageing Study in India (LASI)older adultsPsychiatric DiseasesStroke

Identifiers

PMID40346866
PMCPMC12064934

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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.