Evidence map›Paper›PMID 36994067›Full record

ArticleJournal of family medicine and primary care2022

Prevalence of disability among the elderly people in an urban slum of Chennai - A cross-sectional study.

Jeevapriya Ravi, S Kuzhali, Parameswary Ramamoorthy

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. 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
1.1field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  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.

Jeevapriya RaviDepartment of Community Medicine, Govt. Thiruvarur Medical College, Thiruvarur, Tamil Nadu, India.
S KuzhaliDepartment of Community Medicine, Govt. Thiruvarur Medical College, Thiruvarur, Tamil Nadu, India.
Parameswary RamamoorthyDepartment of Community Medicine, Govt. Thiruvarur Medical College, Thiruvarur, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Human population is ageing worldwide. Disabilities are common with ageing; but most of the studies focused on the medical model of disability. However, "disability and elderly" encompasses a larger spectrum of conditions and needs to be studied as a broader concept. This study was done to estimate the prevalence of disability in elderly people in terms of WHO DAS 2.0 Scale and to identify the factors associated with disability in the elderly people. Methodology: A sample of 220 elderly people was enrolled by multistage random sampling from TP Chatram, a slum in Chennai. A pre-tested semi-structured questionnaire about the socio-demographic details was administered. The disability was assessed by WHO DAS 2.0 Scale. The data entered in Microsoft Excel were analysed using SPSS 21.0. Results are expressed in mean, proportions, and odds ratio appropriately. Results: The prevalence of disability was found to be 20.9%. The mean disability scores were more in the domain of getting along with people (34.68 ± 14.70), followed by the domain of getting around (30.64 ± 24.33) and societal participation (25.55 ± 21.97). Advancing age, female gender, presence of chronic illness were the factors increasing the risk of disability. Education confers significant protection against the development of disability. Conclusion: It is not only the physical inability that disables the elderly but also the lack of societal participation. So it becomes the responsibility of every individual to make the elderly people socially inclusive apart from screening them to detect disability in the earlier stage itself.

Indexed as

DisabilityelderlyWHO DAS 2.0 Scale

Identifiers

PMID36994067
PMCPMC10041033
OpenAlexW4320154696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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 OpenQuestion graph.