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An overview of the methodology and general findings from the <scp>National Health and Morbidity Survey</scp> (NHMS) 2018: Older persons’ health in <scp>Malaysia</scp>

Authors :
Ying Ying Chan
Tahir Aris
Faridah Abu Bakar
Mohd Azahadi Omar
Rajini Sooryanarayana
Mohammad Aznuddin Abdul Razak
Noor Ani Ahmad
Norazizah Ibrahim Wong
Muhammad Fadhli Mohd Yusoff
Sheleaswani Inche Zainal Abidin
Source :
Geriatrics & Gerontology International. 20:7-15
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

AIM This article describes the methodology of the 2018 Malaysian National Health and Morbidity Survey, and provides an overview of the sociodemographic details of the respondents and key findings on the health of older adults. METHODS The survey included 3977 community-dwelling respondents, aged ≥60 years across Malaysia. Two-stage stratified random sampling with selection of enumeration blocks from both urban and rural areas ensured the findings were representative of the Malaysian older population. RESULTS Complex sampling analyses ensured that findings on various geriatric syndromes, non-communicable diseases, nutritional status, functional status, social well-being and quality of life are representative of the Malaysian older population. Among the limitations are that the composition of older persons varied slightly from the general older population. CONCLUSIONS This article presents the methodology of the survey, and a baseline of the major health issues for older persons in Malaysia to provide clear guidance to researchers, program managers and policymakers to fully utilize the data from the Malaysian National Health and Morbidity Survey toward achieving healthy aging. The findings might stimulate more research on the health problems faced by older people to provide inputs for policymaking and program implementation. Geriatr Gerontol Int 2020; 20: 7-15.

Details

ISSN :
14470594 and 14441586
Volume :
20
Database :
OpenAIRE
Journal :
Geriatrics & Gerontology International
Accession number :
edsair.doi.dedup.....e717a595946da2450ecd8ca497633fc8
Full Text :
https://doi.org/10.1111/ggi.14094