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Geriatr Gerontol Int ; 20 Suppl 2: 33-37, 2020 Dec.
Article in English | MEDLINE | ID: mdl-33370863

ABSTRACT

AIM: Falls are a common problem among older people, leading to major morbidity and increased mortality. The study aimed to determine the prevalence of falls among older persons in Malaysia and its associated factors. METHODS: Data were obtained from the National Health and Morbidity Survey 2018 (NHMS 2018), a cross-sectional study using stratified cluster sampling design. Older persons were defined as aged ≥60 years in this study. Descriptive and logistic regression analyses were conducted using SPSS version 25.0. RESULTS: Overall, 14.1% (95% confidence interval [CI]: 12.46, 15.84) of older persons reported having experienced at least one fall during the past 12 months. Univariate analyses revealed an association between the history of falls with not being employed (odds ratio [OR]: 1.35 [95% CI: 1.03, 1.77]), diabetes mellitus (OR: 1.65 [95% CI: 1.33, 2.04]), limitation in activities of daily living (ADL) (OR: 1.90 [95% CI: 1.43, 2.54]) or instrumental ADL (OR: 1.47 [95% CI: 1.16, 1.84]). Multiple logistic regression revealed that falls were positively associated with those who had diabetes mellitus (OR: 1.55 [95% CI: 1.23, 1.94]) and limitation in ADL (OR: 1.56 [95% CI: 1.14, 2.15]); 43.9% of falls occurred outdoors. CONCLUSION: One in six older Malaysian people experience at least one fall over a 12-month period. Diabetes mellitus and limitation in ADL were the factors associated with falls among older persons. A comprehensive and targeted program designed to reduce risk of falls is urgently needed. Future research should identify suitable programs for our setting to reduce the potential society burden of falls in older Malaysians. Geriatr Gerontol Int 2020; 20: 33-37.


Subject(s)
Accidental Falls/statistics & numerical data , Activities of Daily Living , Aged , Aged, 80 and over , Cross-Sectional Studies , Diabetes Mellitus/epidemiology , Female , Health Surveys , Humans , Independent Living/statistics & numerical data , Logistic Models , Malaysia/epidemiology , Male , Odds Ratio , Prevalence , Risk Factors
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