Please use this identifier to cite or link to this item: https://doi.org/10.3390/ijerph182413090
Title: The Prevalence and Correlates of Disability in Singapore: Results from a Nationwide Cross-Sectional Survey
Authors: Subramaniam, Mythily 
Koh, Yen Sin
AshaRani, PV 
Devi, Fiona
Shafie, Saleha
Wang, Peizhi
Abdin, Edimansyah
Vaingankar, Janhavi Ajit
Sum, Chee Fang
Lee, Eng Sing
Chong, Siow Ann 
Keywords: Science & Technology
Life Sciences & Biomedicine
Environmental Sciences
Public, Environmental & Occupational Health
Environmental Sciences & Ecology
survey
disability
education
chronic conditions
health-related quality of life
QUALITY-OF-LIFE
PHYSICAL-ACTIVITY
MOBILITY DISABILITY
MUSCLE STRENGTH
ADULTS
Issue Date: 1-Dec-2021
Publisher: MDPI
Citation: Subramaniam, Mythily, Koh, Yen Sin, AshaRani, PV, Devi, Fiona, Shafie, Saleha, Wang, Peizhi, Abdin, Edimansyah, Vaingankar, Janhavi Ajit, Sum, Chee Fang, Lee, Eng Sing, Chong, Siow Ann (2021-12-01). The Prevalence and Correlates of Disability in Singapore: Results from a Nationwide Cross-Sectional Survey. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 18 (24). ScholarBank@NUS Repository. https://doi.org/10.3390/ijerph182413090
Abstract: Objective: The study aims to estimate the prevalence of disability and the association of disability with socio-demographic correlates and health outcomes among the Singapore population. Methods: Face-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. Results: The 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. Conclusions: Although 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.
Source Title: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
URI: https://scholarbank.nus.edu.sg/handle/10635/228206
ISSN: 16617827
16604601
DOI: 10.3390/ijerph182413090
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