Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/74946
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dc.contributor.authorThin Nyein Nyein Aungen_US
dc.contributor.authorSaiyud Moolphateen_US
dc.contributor.authorYuka Koyanagien_US
dc.contributor.authorChaisiri Angkurawaranonen_US
dc.contributor.authorSiripen Supakankuntien_US
dc.contributor.authorMotoyuki Yuasaen_US
dc.contributor.authorMyo Nyein Aungen_US
dc.date.accessioned2022-10-16T06:55:01Z-
dc.date.available2022-10-16T06:55:01Z-
dc.date.issued2022-09-01en_US
dc.identifier.issn16604601en_US
dc.identifier.issn16617827en_US
dc.identifier.other2-s2.0-85137594876en_US
dc.identifier.other10.3390/ijerph191710574en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85137594876&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/74946-
dc.description.abstractBackground: 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.subjectEnvironmental Scienceen_US
dc.subjectMedicineen_US
dc.titleDepression and Associated Factors among Community-Dwelling Thai Older Adults in Northern Thailand: The Relationship between History of Fall and Geriatric Depressionen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Environmental Research and Public Healthen_US
article.volume19en_US
article.stream.affiliationsTokyo Ariake University of Medical and Health Sciencesen_US
article.stream.affiliationsJuntendo University Graduate School of Medicineen_US
article.stream.affiliationsChiang Mai Rajabhat Universityen_US
article.stream.affiliationsFaculty of Medicine, Chiang Mai Universityen_US
article.stream.affiliationsJuntendo Universityen_US
article.stream.affiliationsChulalongkorn Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
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