Cargando…

Cross-sectional analysis of ethnic differences in fall prevalence in urban dwellers aged 55 years and over in the Malaysian Elders Longitudinal Research study

OBJECTIVES: Falls represent major health issues within the older population. In low/middle-income Asian countries, falls in older adults remain an area which has yet to be studied in detail. Using data from the Malaysian Elders Longitudinal Research (MELoR), we have estimated the prevalence of falls...

Descripción completa

Detalles Bibliográficos
Autores principales: Alex, Deepa, Khor, Hui Min, Chin, Ai Vyrn, Hairi, Noran Naqiah, Othman, Sajaratulnisah, Khoo, Selina Phaik Kin, Bahyah Kamaruzzaman, Shahrul, Tan, Maw Pin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059344/
https://www.ncbi.nlm.nih.gov/pubmed/30018093
http://dx.doi.org/10.1136/bmjopen-2017-019579
_version_ 1783341845297758208
author Alex, Deepa
Khor, Hui Min
Chin, Ai Vyrn
Hairi, Noran Naqiah
Othman, Sajaratulnisah
Khoo, Selina Phaik Kin
Bahyah Kamaruzzaman, Shahrul
Tan, Maw Pin
author_facet Alex, Deepa
Khor, Hui Min
Chin, Ai Vyrn
Hairi, Noran Naqiah
Othman, Sajaratulnisah
Khoo, Selina Phaik Kin
Bahyah Kamaruzzaman, Shahrul
Tan, Maw Pin
author_sort Alex, Deepa
collection PubMed
description OBJECTIVES: Falls represent major health issues within the older population. In low/middle-income Asian countries, falls in older adults remain an area which has yet to be studied in detail. Using data from the Malaysian Elders Longitudinal Research (MELoR), we have estimated the prevalence of falls among older persons in an urban population, and performed ethnic comparisons in the prevalence of falls. DESIGN: Cross-sectional analysis was carried out using the first wave data from MELoR which is a longitudinal study. SETTING: Urban community dwellers in a middle-income South East Asian country. PARTICIPANTS: 1565 participants aged ≥55 years were selected by simple random sampling from the electoral rolls of three parliamentary constituencies. OUTCOME MEASURES: Consenting participants from the MELoR study were asked the question ‘Have you fallen down in the past 12 months?’ during their computer-assisted home-based interviews. Logistic regression analyses were conducted to compare the prevalence of falls among various ethnic groups. RESULTS: The overall estimated prevalence of falls for individuals aged 55 years and over adjusted to the population of Kuala Lumpur was 18.9%. The estimated prevalence of falls for the three ethnic populations of Malays, Chinese and Indian aged 55 years and over was 16.2%, 19.4% and 23.8%, respectively. Following adjustment for ethnic discrepancies in age, gender, marital status and education attainment, the Indian ethnicity remained an independent predictor of falls in our population (relative risk=1.45, 95% CI 1.08 to 1.85). CONCLUSION: The prevalence of falls in this study is comparable to other previous Asian studies, but appears lower than Western studies. The predisposition of the Indian ethnic group to falls has not been previously reported. Further studies may be needed to elucidate the causes for the ethnic differences in fall prevalence.
format Online
Article
Text
id pubmed-6059344
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-60593442018-07-27 Cross-sectional analysis of ethnic differences in fall prevalence in urban dwellers aged 55 years and over in the Malaysian Elders Longitudinal Research study Alex, Deepa Khor, Hui Min Chin, Ai Vyrn Hairi, Noran Naqiah Othman, Sajaratulnisah Khoo, Selina Phaik Kin Bahyah Kamaruzzaman, Shahrul Tan, Maw Pin BMJ Open Geriatric Medicine OBJECTIVES: Falls represent major health issues within the older population. In low/middle-income Asian countries, falls in older adults remain an area which has yet to be studied in detail. Using data from the Malaysian Elders Longitudinal Research (MELoR), we have estimated the prevalence of falls among older persons in an urban population, and performed ethnic comparisons in the prevalence of falls. DESIGN: Cross-sectional analysis was carried out using the first wave data from MELoR which is a longitudinal study. SETTING: Urban community dwellers in a middle-income South East Asian country. PARTICIPANTS: 1565 participants aged ≥55 years were selected by simple random sampling from the electoral rolls of three parliamentary constituencies. OUTCOME MEASURES: Consenting participants from the MELoR study were asked the question ‘Have you fallen down in the past 12 months?’ during their computer-assisted home-based interviews. Logistic regression analyses were conducted to compare the prevalence of falls among various ethnic groups. RESULTS: The overall estimated prevalence of falls for individuals aged 55 years and over adjusted to the population of Kuala Lumpur was 18.9%. The estimated prevalence of falls for the three ethnic populations of Malays, Chinese and Indian aged 55 years and over was 16.2%, 19.4% and 23.8%, respectively. Following adjustment for ethnic discrepancies in age, gender, marital status and education attainment, the Indian ethnicity remained an independent predictor of falls in our population (relative risk=1.45, 95% CI 1.08 to 1.85). CONCLUSION: The prevalence of falls in this study is comparable to other previous Asian studies, but appears lower than Western studies. The predisposition of the Indian ethnic group to falls has not been previously reported. Further studies may be needed to elucidate the causes for the ethnic differences in fall prevalence. BMJ Publishing Group 2018-07-17 /pmc/articles/PMC6059344/ /pubmed/30018093 http://dx.doi.org/10.1136/bmjopen-2017-019579 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Geriatric Medicine
Alex, Deepa
Khor, Hui Min
Chin, Ai Vyrn
Hairi, Noran Naqiah
Othman, Sajaratulnisah
Khoo, Selina Phaik Kin
Bahyah Kamaruzzaman, Shahrul
Tan, Maw Pin
Cross-sectional analysis of ethnic differences in fall prevalence in urban dwellers aged 55 years and over in the Malaysian Elders Longitudinal Research study
title Cross-sectional analysis of ethnic differences in fall prevalence in urban dwellers aged 55 years and over in the Malaysian Elders Longitudinal Research study
title_full Cross-sectional analysis of ethnic differences in fall prevalence in urban dwellers aged 55 years and over in the Malaysian Elders Longitudinal Research study
title_fullStr Cross-sectional analysis of ethnic differences in fall prevalence in urban dwellers aged 55 years and over in the Malaysian Elders Longitudinal Research study
title_full_unstemmed Cross-sectional analysis of ethnic differences in fall prevalence in urban dwellers aged 55 years and over in the Malaysian Elders Longitudinal Research study
title_short Cross-sectional analysis of ethnic differences in fall prevalence in urban dwellers aged 55 years and over in the Malaysian Elders Longitudinal Research study
title_sort cross-sectional analysis of ethnic differences in fall prevalence in urban dwellers aged 55 years and over in the malaysian elders longitudinal research study
topic Geriatric Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059344/
https://www.ncbi.nlm.nih.gov/pubmed/30018093
http://dx.doi.org/10.1136/bmjopen-2017-019579
work_keys_str_mv AT alexdeepa crosssectionalanalysisofethnicdifferencesinfallprevalenceinurbandwellersaged55yearsandoverinthemalaysianelderslongitudinalresearchstudy
AT khorhuimin crosssectionalanalysisofethnicdifferencesinfallprevalenceinurbandwellersaged55yearsandoverinthemalaysianelderslongitudinalresearchstudy
AT chinaivyrn crosssectionalanalysisofethnicdifferencesinfallprevalenceinurbandwellersaged55yearsandoverinthemalaysianelderslongitudinalresearchstudy
AT hairinorannaqiah crosssectionalanalysisofethnicdifferencesinfallprevalenceinurbandwellersaged55yearsandoverinthemalaysianelderslongitudinalresearchstudy
AT othmansajaratulnisah crosssectionalanalysisofethnicdifferencesinfallprevalenceinurbandwellersaged55yearsandoverinthemalaysianelderslongitudinalresearchstudy
AT khooselinaphaikkin crosssectionalanalysisofethnicdifferencesinfallprevalenceinurbandwellersaged55yearsandoverinthemalaysianelderslongitudinalresearchstudy
AT bahyahkamaruzzamanshahrul crosssectionalanalysisofethnicdifferencesinfallprevalenceinurbandwellersaged55yearsandoverinthemalaysianelderslongitudinalresearchstudy
AT tanmawpin crosssectionalanalysisofethnicdifferencesinfallprevalenceinurbandwellersaged55yearsandoverinthemalaysianelderslongitudinalresearchstudy