Evidence map›Paper›PMID 36217103›Full record

ArticleBMC geriatrics2022

Burden of communicable and non-communicable diseases-related inequalities among older adults in India: a study based on LASI survey.

Shekhar Chauhan, Shubham Kumar, Ratna Patel, David Jean Simon, Aradhana Kumari

Open access · goldAbstract 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

17 citing papers in PubMed, 27 citations in OpenAlex.

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  10. Health of Indian Midlife Women-Unmet Needs and Possible Solutions.Journal of obstetrics and gynaecology of India · 2025
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  15. Atherosclerotic cardiovascular disease landscape in Singapore.Frontiers in cardiovascular medicine · 2024
    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

5 authors at 3 institutions in 2 countries.

Shekhar ChauhanDepartment of Family and Generations, International Institute for Population Sciences, Mumbai, India.ORCID 0000-0002-6926-7649
Shubham KumarDepartment of Survey Research and Data Analytics, International Institute for Population Sciences, Mumbai, India.ORCID 0000-0003-0421-5677
Ratna PatelResearch Scholar, Department of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, India. ratnapatelbhu@gmail.com.ORCID 0000-0002-5371-7369
David Jean SimonResearch Scholar, Paris 1 Pantheon Sorbonne University, Paris, France.
Aradhana KumariResearch Scholar, Jawaharlal Nehru University, New Delhi, India.ORCID 0000-0002-7811-6877
International Institute for Population Sciences · INJawaharlal Nehru University · INSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA rising proportion of elderly in India has infused notable challenges to the healthcare system, which is already underdeveloped. On one side, NCDs are increasing among the elderly in India; however, on the other side, CDs are also a cause of concern among the elderly in India. While controlling the outbreak of communicable diseases (CDs) remained a priority, non-communicable diseases (NCDs) are placing an unavoidable burden on the health and social security system. India, a developing nation in South Asia, has seen an unprecedented economic growth in the past few years; however, it struggled to fight the burden of communicable and non-communicable diseases. Therefore, this study aimed at examining the burden of CDs and NCDs among elderly in India.

methodsData from Longitudinal Ageing Study in India (LASI Wave-I, 2017-18) were drawn to conduct this study. The LASI is a large-scale nationwide scientific study of the health, economics, and social determinants and implications of India's aged population. The LASI is a nationally representative survey of 72,250 aged 45 and over from all Indian states and union territories. Response variables were the occurrence of CDs and NCDs. The bi-variate and binary logistic regression were used to predict the association between communicable and non-communicable diseases by various socio-demographic and health parameters. Furthermore, to understand the inequalities of communicable and non-communicable diseases in urban and rural areas, the Fairlie decomposition technique was used to predict the contribution toward rural-urban inequalities in CDs and NCDs.

resultsPrevalence of communicable diseases was higher among uneducated elderly than those with higher education (31.9% vs. 17.3%); however, the prevalence of non-communicable diseases was higher among those with higher education (67.4% vs. 47.1%) than uneducated elderly. The odds of NCDs were higher among female elderly (OR = 1.13; C.I. = 1-1.27) than their male counterparts. Similarly, the odds of CDs were lower among urban elderly (OR = 0.70; C.I. = 0.62-0.81) than rural elderly, and odds of NCDs were higher among urban elderly (OR = 1.85; C.I. = 1.62-2.10) than their rural counterparts. Results found that education (50%) contributes nearly half of the rural-urban inequality in the prevalence of CDs among the elderly. Education status and current working status were the two significant predictors of widening rural-urban inequality in the prevalence of NCDs among the elderly.

conclusionThe burden of both CD and NCD among the elderly population requires immediate intervention. The needs of men and women and urban and rural elderly must be addressed through appropriate efforts. In a developing country like India, preventive measures, rather than curative measures of communicable diseases, will be cost-effective and helpful. Further, focusing on educational interventions among older adults might bring some required changes.

Indexed as

Communicable DiseasesNoncommunicable DiseasesAgedFemaleHumansIndiaMalePrevalenceRural PopulationSurveys and QuestionnairesCommunicable diseasesDouble burdenIndiaNon-communicable diseasesOlder population

Identifiers

PMID36217103
PMCPMC9552506
OpenAlexW4304141582

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.