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Factors Associated with Insomnia among the Elderly in a Korean Rural Community

Overview of attention for article published in Psychiatry Investigation, July 2017
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Title
Factors Associated with Insomnia among the Elderly in a Korean Rural Community
Published in
Psychiatry Investigation, July 2017
DOI 10.4306/pi.2017.14.4.400
Pubmed ID
Authors

Woo Jung Kim, Won-tak Joo, Jiwon Baek, Sung Yun Sohn, Kee Namkoong, Yoosik Youm, Hyeon Chang Kim, Yeong-Ran Park, Sang Hui Chu, Eun Lee

Abstract

Sleep disturbance is common in the elderly, which is result from multi-factorial causes encompassing socio-demographic, behavioral, and clinical factors. We aimed to identify factors associated with insomnia among the elderly in a rural community in South Korea, a country with a rapidly growing aged population. This cross-sectional study used the data from the second wave of the Korean Social life, Health and Ageing Project, which is a cohort study of individuals living in a typical rural community in South Korea. Socio-demographic, behavioral, and clinical characteristics were obtained through face-to-face interviews. Various factors suspected to be associated with insomnia were compared between elderly participants with and without insomnia, and multiple logistic regression analyses were conducted to identify independent risk factors for insomnia. We found that 32.4% of 509 participants (72.8±7.7 years old) had insomnia. Female sex [odds ratio (OR)=2.19], low education level (OR=2.44), current smoking (OR=2.26), number of chronic diseases (OR=2.21 for 2-3 chronic diseases; OR=2.06 for 4 or more chronic diseases), and depression (OR=2.53) were independently associated with insomnia. We found that sex, education, chronic disease, and depression independently increase the risk of insomnia of the elderly in a Korean rural community. To overcome the elderly's insomnia, interventions should target modifiable factors such as depression. To promote active aging, longitudinal studies of factors associated with insomnia among the elderly should be performed in different regions and communities.

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The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 28%
Student > Postgraduate 4 5%
Student > Ph. D. Student 3 4%
Researcher 3 4%
Professor 2 3%
Other 8 11%
Unknown 35 46%
Readers by discipline Count As %
Medicine and Dentistry 18 24%
Nursing and Health Professions 11 14%
Biochemistry, Genetics and Molecular Biology 4 5%
Economics, Econometrics and Finance 2 3%
Neuroscience 2 3%
Other 4 5%
Unknown 35 46%