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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Thin Nyein Nyein Aung | en_US |
dc.contributor.author | Saiyud Moolphate | en_US |
dc.contributor.author | Yuka Koyanagi | en_US |
dc.contributor.author | Chaisiri Angkurawaranon | en_US |
dc.contributor.author | Siripen Supakankunti | en_US |
dc.contributor.author | Motoyuki Yuasa | en_US |
dc.contributor.author | Myo Nyein Aung | en_US |
dc.date.accessioned | 2022-10-16T06:55:01Z | - |
dc.date.available | 2022-10-16T06:55:01Z | - |
dc.date.issued | 2022-09-01 | en_US |
dc.identifier.issn | 16604601 | en_US |
dc.identifier.issn | 16617827 | en_US |
dc.identifier.other | 2-s2.0-85137594876 | en_US |
dc.identifier.other | 10.3390/ijerph191710574 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85137594876&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/74946 | - |
dc.description.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. | en_US |
dc.subject | Environmental Science | en_US |
dc.subject | Medicine | en_US |
dc.title | Depression and Associated Factors among Community-Dwelling Thai Older Adults in Northern Thailand: The Relationship between History of Fall and Geriatric Depression | en_US |
dc.type | Journal | en_US |
article.title.sourcetitle | International Journal of Environmental Research and Public Health | en_US |
article.volume | 19 | en_US |
article.stream.affiliations | Tokyo Ariake University of Medical and Health Sciences | en_US |
article.stream.affiliations | Juntendo University Graduate School of Medicine | en_US |
article.stream.affiliations | Chiang Mai Rajabhat University | en_US |
article.stream.affiliations | Faculty of Medicine, Chiang Mai University | en_US |
article.stream.affiliations | Juntendo University | en_US |
article.stream.affiliations | Chulalongkorn University | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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