Depression and Associated Factors among Community-Dwelling Thai Older Adults in Northern Thailand: The Relationship between History of Fall and Geriatric Depression

Thin Nyein Nyein Aung, Saiyud Moolphate, Yuka Koyanagi, Chaisiri Angkurawaranon, Siripen Supakankunti (), Motoyuki Yuasa and Myo Nyein Aung ()
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Thin Nyein Nyein Aung: Department of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
Saiyud Moolphate: Department of Public Health, Faculty of Science and Technology, Chiang Mai Rajabhat University, Chiang Mai 50300, Thailand
Yuka Koyanagi: Department of Medical and Health Science, Tokyo Ariake University, Tokyo 135-0063, Japan
Chaisiri Angkurawaranon: Department of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
Motoyuki Yuasa: Department of Global Health Research, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
Myo Nyein Aung: Department of Global Health Research, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan

IJERPH, 2022, vol. 19, issue 17, 1-10

Abstract: Background: Globally, population aging is happening more quickly than in the past, and Thailand ranks the world’s number three among the rapidly aging countries. Age-related decline in physical and mental health would impact depression among older adults. We aimed to determine the depression among the community-dwelling Thai older adults in Chiang Mai, Thailand. Methods: The baseline data, collected by door-to-door household visits of an intervention arm from a cluster randomized controlled trial (Community-Integrated Intermediary Care (CIIC): TCTR20190412004), were included in this cross-sectional study. Descriptive analysis and binary logistic regression were applied. Results: The mean age was 69.31 ± 7.10 years and 23.8% of study participants were older than 75 years. The Thai geriatric depression scale showed 6.5% had depression. Adjusted risk factors for depression were older age, being single, drinking alcohol daily, having diabetes, having experience of a fall last year, self-rated health as neutral, poor/very poor, and moderate/severe dependency by ADL scoring. Conclusion: Our findings highlighted the potentially modifiable risk factors in addition to the common predictors affecting depression among community-dwelling older adults. Fall prevention programs and public health interventions to prevent diabetes are recommended. Furthermore, self-rated health and Barthel’s ADL scoring would be simple tools to predict risk factors for geriatric depression.

Keywords: aging; community-integrated intermediary care (CIIC); geriatric depression; fall; older adult; Thailand (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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