ArticlePloS one2023
Socio-economic inequalities in burden of communicable and non-communicable diseases among older adults in India: Evidence from Longitudinal Ageing Study in India, 2017-18.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Indirect Costs of Non-Communicable Diseases within the Top Ten Causes of Mortality Worldwide: A Systematic Literature Review.Iranian journal of medical sciences · 2026Pooled it
- Prevalence of CVD Among Indian Adult Population: Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2025Pooled it
- Religious group differences in non-communicable disease risk factors in India: A cross-sectional study of adults aged 45 and older.GeroScience · 2026Article
- Exploring adaptive health technology assessment for evaluating 10 cancer interventions: insights and lessons from a pilot study in India.BMJ evidence-based medicine · 2025Article
- Mitochondrial Dysfunction in the Cardiovascular Disease Continuum: Problems of Studying the Progression During the Follow-Up of the Pathologies.International journal of molecular sciences · 2025Review
- The silent epidemic: unravelling NCD risk clusters and socioeconomic determinants in Zambia.BMC public health · 2025Article
- Investigating health literacy and sociodemographic factors in college students.Scientific reports · 2025Article
- Mitochondrial Dysfunction and Atherosclerosis: The Problem and the Search for Its Solution.Biomedicines · 2025Review
- Trends in Socioeconomic Inequalities in the Prevalence of Chronic Non-Communicable Diseases in China: Evidence from Shaanxi Province During 2003-2013.Healthcare (Basel, Switzerland) · 2025Article
- The concept of biophotonic signaling in the human body and brain: rationale, problems and directions.Frontiers in systems neuroscience · 2025Review
- Mitochondrial Dysfunction and Risk Factors for Noncommunicable Diseases: From Basic Concepts to Future Prospective.Diseases (Basel, Switzerland) · 2024Review
- Clustering the Economic Status via Partitioning around Medoid and Its Association with Common Non-communicable Diseases.Iranian journal of medical sciences · 2024Article
- Impediments to compliance during filariasis mass drug administration-Observations and recommendations to accelerate filariasis elimination in India.Frontiers in public health · 2024Article
- Diabetes-Associated Risk and Population Burden of Comorbid Conditions Among Older Adults and Elderly Persons in India.Sage open agingArticle
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Authors and funding
2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Developing countries like India grapple with significant challenges due to the double burden of communicable and non-communicable disease in older adults. Examining the distribution of the burden of different communicable and non-communicable diseases among older adults can present proper evidence to policymakers to deal with health inequality. The present study aimed to determine socioeconomic inequality in the burden of communicable and noncommunicable diseases among older adults in India. This study used Longitudinal Ageing study in India (LASI), Wave 1, conducted during 2017-2018. Descriptive statistics along with bivariate analysis was used in the present study to reveal the initial results. Binary logistic regression analysis was used to estimate the association between the outcome variables (communicable and non-communicable disease) and the chosen set of separate explanatory variables. For measurement of socioeconomic inequality, concentration curve and concentration index along with state wise poor-rich ratio was calculated. Additionally, Wagstaff's decomposition of the concentration index approach was used to reveal the contribution of each explanatory variable to the measured health inequality (Communicable and non- communicable disease). The study finds the prevalence of communicable and non-communicable disease among older adults were 24.9% and 45.5% respectively. The prevalence of communicable disease was concentrated among the poor whereas the prevalence of NCDs was concentrated among the rich older adults, but the degree of inequality is greater in case of NCD. The CI for NCD is 0.094 whereas the CI for communicable disease is -0.043. Economic status, rural residence are common factors contributing inequality in both diseases; whereas BMI and living environment (house type, drinking water source and toilet facilities) have unique contribution in explaining inequality in NCD and communicable diseases respectively. This study significantly contributes in identifying the dichotomous concentration of disease prevalence and contributing socio- economic factors in the inequalities.
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