Evidence map›Paper›PMID 42404023›Full record

ArticleSage open aging

Diabetes-Associated Risk and Population Burden of Comorbid Conditions Among Older Adults and Elderly Persons in India.

Junaid Khan

Abstract read
In one paragraph

Article in Sage open aging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Junaid KhanVivekananda College Thakurpukur, Kolkata, India.ORCID https://orcid.org/0000-0003-4662-2318

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes substantially increases the burden of multimorbidity in later life, posing a major challenge for healthy aging in India. Using nationally representative data, this study examined the prevalence, likelihood, and population-attributable risk (PAR) of cardiovascular disease (CVD), lung disease, musculoskeletal disorders, and eye problems among older adults and elderly persons. The prevalence of CVD was considerably higher among adults aged 60 years and above with diabetes than among non-diabetics. Diabetes contributed substantially to the CVD burden across socioeconomic and demographic groups, with the highest PAR estimates observed among overweight women aged 45 to 59 years and urban women. Eye problems also showed consistently elevated attributable risks, particularly among women aged 45 to 59 years, residents of Central India, and socially disadvantaged groups. In contrast, diabetes-attributable risks for lung disease and musculoskeletal disorders were comparatively modest and significant mainly among specific age-sex groups. Overall, the findings indicate that diabetes is an important contributor to chronic disease burden in later life, especially for CVD and eye disorders, with considerable variations across sex, socioeconomic status, region, and body mass index. These findings highlight the need for targeted diabetes management and prevention strategies to reduce chronic morbidity and improve healthy aging outcomes nationally.

Indexed as

agingchronic morbidityCVDdiabeteseye problemsIndiaLASIlung diseasemusculoskeletal diseasepopulation attributable risk (PAR)

Identifiers

PMID42404023
PMCPMC13332295

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.