Evidence map›Paper›PMID 37693702›Full record

ArticleFrontiers in public health2023

Non-communicable disease multimorbidity among tribal older adults in India: evidence from Study on Global AGEing and adult health, 2015.

Abhinav Sinha, Srikanta Kanungo, Debdutta Bhattacharya, Harpreet Kaur, Sanghamitra Pati

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Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

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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.

Abhinav SinhaICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Srikanta KanungoICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Debdutta BhattacharyaICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Harpreet KaurIndian Council of Medical Research, New Delhi, India.
Sanghamitra PatiICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Multimorbidity defined as the simultaneous presence of two or more chronic conditions in an individual is on the rise in low- and middle-income countries such as India. With India aiming to achieve universal health coverage, it is imperative to address the inequalities in accessing healthcare, especially among vulnerable groups such as tribal. Moreover, changing lifestyle has led to the emergence of multimorbidity among tribals in India. We aimed to estimate the prevalence and assess the correlates of multimorbidity among tribal older adults in India. Methods: We employed nationally representative data from the World Health Organization's Study on Global AGEing and Adult Health conducted in 2015. We included 522 participants aged ≥50 years who reported their caste to be 'Scheduled Tribe' in the survey. A multivariable regression model assessed the association between multimorbidity and various attributes. Results: Arthritis, cataract, and hypertension were the most common chronic conditions. The overall prevalence of multimorbidity was ~22.61%. We observed a higher likelihood of having multimorbidity among respondents aged ≥80 years [AOR: 4.08 (1.17-14.18)] than the younger age groups, and among the most affluent group [AOR: 2.64 (1.06-6.56)] than the most deprived class. Conclusion: The prevalence of multimorbidity among tribal older adults is emerging which cannot be overlooked. Health and wellness centers may be a window of opportunity to provide egalitarian and quality preventive and curative services to achieve universal health coverage. Future studies should explore the outcomes of multimorbidity in terms of healthcare utilization, expenditure, and quality of life in this group.

Indexed as

MultimorbidityNoncommunicable DiseasesAgedAgingHumansIndiaQuality of LifeIndiamultimorbidityolder adultsSAGEtribal

Identifiers

PMID37693702
PMCPMC10488702

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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.