Evidence map›Paper›PMID 36746893›Full record

ArticleGeroScience2023

The puzzle of underreporting disability among tribal population in India: is it a statistical artifact or reality?

Neha Kumari, Nandita Saikia, S V Subramanian

Abstract read
In one paragraph

Article in GeroScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Neha KumariInternational Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.ORCID 0000-0001-5350-9896
Nandita SaikiaInternational Institute for Population Sciences, Mumbai, Maharashtra, 400088, India. nanditasts@gmail.com.ORCID 0000-0001-6735-6157
S V SubramanianHarvard Center for Population and Development Studies, Cambridge, MA, USA.ORCID 0000-0003-2365-4165

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India is undergoing a demographic transition, and so is the tribal population of India. The outcome of this is ageing, and ageing is associated with disability. The tribals are the most vulnerable and marginalized section, despite being significant in numbers, there has not been much exploration of disability among tribals and non-tribals. We used secondary data from the nationally representative, Longitudinal Ageing Study in India (2017-2018). Our sample size consisted of 64,417 adults ages 45 years and older. We defined the disability as having functional limitations. Regression analysis was done to examine the association between disability and caste. Further, to eliminate selection bias, we employed the propensity score matching. Also, lifestyle factors that may have a positive and negative impact on the functional health were analyzed. The results of the study found that the prevalence of functional limitation is lower among the tribal population. After controlling other socio-economic variables, we found that scheduled tribes have lower likelihood of functional limitations. Further, the propensity score matching was done to control for the observable group differences with respect to socioeconomic characteristics; the results still held true. We also found that the positive lifestyle was more prevalent among the tribal groups, which may have impacted their healthy living. The study empirically found that tribal population have lower disability in comparison to the non-tribal population in India. The tribal are more active physically and socially, which may reduce the level of functional disability.

Indexed as

ArtifactsIndiaCasteDisabilityFunctional limitationIndiaLASI dataSchedule tribes

Identifiers

PMID36746893
PMCPMC10651585

What OpenQuestion holds

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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.