Evidence map›Paper›PMID 34948700›Full record

ArticleInternational journal of environmental research and public health2021

The Prevalence and Correlates of Disability in Singapore: Results from a Nationwide Cross-Sectional Survey.

Mythily Subramaniam, Yen Sin Koh, P V AshaRani, Fiona Devi, Saleha Shafie, Peizhi Wang, Edimansyah Abdin, Janhavi Ajit Vaingankar, Chee Fang Sum, Eng Sing Lee and 1 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Care of the bedridden patient.Singapore medical journal · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. 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

11 authors.

Mythily SubramaniamResearch Division, Institute of Mental Health, 10 Buangkok View, Singapore 539747, Singapore.ORCID 0000-0003-4530-1096
Yen Sin KohResearch Division, Institute of Mental Health, 10 Buangkok View, Singapore 539747, Singapore.
P V AshaRaniResearch Division, Institute of Mental Health, 10 Buangkok View, Singapore 539747, Singapore.ORCID 0000-0001-8215-5214
Fiona DeviResearch Division, Institute of Mental Health, 10 Buangkok View, Singapore 539747, Singapore.ORCID 0000-0001-9367-5258
Saleha ShafieResearch Division, Institute of Mental Health, 10 Buangkok View, Singapore 539747, Singapore.
Peizhi WangResearch Division, Institute of Mental Health, 10 Buangkok View, Singapore 539747, Singapore.ORCID 0000-0002-7054-1879
Edimansyah AbdinResearch Division, Institute of Mental Health, 10 Buangkok View, Singapore 539747, Singapore.ORCID 0000-0002-1016-3298
Janhavi Ajit VaingankarResearch Division, Institute of Mental Health, 10 Buangkok View, Singapore 539747, Singapore.ORCID 0000-0001-9486-1896
Chee Fang SumAdmiralty Medical Centre, Khoo Teck Puat Hospital, 676 Woodlands Drive 71, Singapore 730676, Singapore.
Eng Sing LeeNational Healthcare Group Polyclinics, 3 Fusionopolis Link, Nexus@One-North, Singapore 138543, Singapore.ORCID 0000-0003-4963-535X
Siow Ann ChongResearch Division, Institute of Mental Health, 10 Buangkok View, Singapore 539747, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study aims to estimate the prevalence of disability and the association of disability with socio-demographic correlates and health outcomes among the Singapore population.

methodsFace-to-face interviews were conducted with a representative sample of Singapore's population. Using the Washington Group's questionnaire, disability was defined using both the 'standard' (a lot of difficulty or higher in one or more domains) and the 'wider' threshold (of 'some' or greater difficulty). Data on socio-demographic correlates, self-reported lifestyle, physical activity, chronic conditions, and health-related quality of life were also collected.

resultsThe prevalence of any disability using the standard threshold was 3.1% (95% CI: 2.4-4.1). When separated by disability type, mobility (1.8%) was the most prevalent, followed by vision (0.8%), cognition (0.5%), hearing (0.3%), and self-care (0.2). In the adjusted regression analysis, lower education and unemployed and economically inactive status (versus employed) were significantly associated with disability.

conclusionsAlthough this prevalence is lower than other countries, it is a significant finding in terms of actual numbers and impact at both the individual and the societal levels. Our findings also highlight the need to strengthen health services and preventive interventions targeting older adults and those who are physically inactive to reduce the burden of disability in these groups.

Indexed as

Persons with DisabilitiesQuality of LifeAgedCross-Sectional StudiesHumansPrevalenceSingaporechronic conditionsdisabilityeducationhealth-related quality of lifesurvey

Identifiers

PMID34948700
PMCPMC8701250

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.