Epidemiol Health.  2018;40:e2018018. 10.4178/epih.e2018018.

Sleep quality and associated factors among the elderly living in rural Chiang Rai, northern Thailand

Affiliations
  • 1Department of Epidemiology, Faculty of Public Health, Mahidol University, Bangkok, Thailand. nopporn.how@mahidol.ac.th
  • 2Department of Public Health Administration, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
  • 3Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Abstract


OBJECTIVES
This study aimed to characterize the prevalence of poor sleep quality and to identify associated factors among community-dwelling elderly individuals in northern Thailand.
METHODS
A cross-sectional study was conducted among 266 randomly selected elderly people in a sub-district in rural Chiang Rai Province, northern Thailand. The participants were interviewed using the Thai version of the Pittsburgh Sleep Quality Index (PSQI).
RESULTS
Roughly 44.0% of the participants had poor sleep quality (PSQI score, >5), 9.4% used sleep medication, 27.1% had poor family relationships, and 12.0% had mild depression. Multiple logistic regression analysis indicated that being female (odds ratio [OR], 1.74; 95% confidence interval [CI], 1.10 to 3.02), a higher education level (OR, 3.03; 95% CI, 1.34 to 6.86 for primary school; OR, 2.48; 95% CI, 1.31 to 5.44 for higher than primary school), mild depression (OR, 2.65; 95% CI, 1.11 to 6.36), and poor family relationships (OR, 3.65; 95% CI, 1.98 to 6.75) were significantly associated with poor sleep quality.
CONCLUSIONS
The prevalence of poor sleep quality among the elderly was moderately high. Healthcare providers should regularly conduct screenings for sleep quality and depression; provide sleep health education; and conduct interventions to encourage participating in family activities, resolving conflicts, sharing ideas, and making compromises within the family.

Keyword

Sleep hygiene; Elderly; Prevalence; Depression; Family relations

MeSH Terms

Aged*
Asian Continental Ancestry Group
Cross-Sectional Studies
Depression
Education
Family Relations
Female
Health Education
Health Personnel
Humans
Logistic Models
Mass Screening
Prevalence
Thailand*
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