Sleep Med Psychophysiol.
2017 Jun;24(1):38-45. 10.14401/KASMED.2017.24.1.38.
Prediction of Sleep Disturbances in Korean Rural Elderly through Longitudinal Follow Up
- Affiliations
-
- 1Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Korea. leeeun@yuhs.ac
- 2Department of Psychiatry, Seonam University College of Medicine, Myongji Hospital, Goyang, Korea.
- 3Department of Sociology, Yonsei University College of Social Sciences, Seoul, Korea.
- 4Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
- KMID: 2387302
- DOI: http://doi.org/10.14401/KASMED.2017.24.1.38
Abstract
OBJECTIVES
Sleep disturbance is a very rapidly growing disease with aging. The purpose of this study was to investigate the prevalence of sleep disturbances and its predictive factors in a three-year cohort study of people aged 60 years and over in Korea.
METHODS
In 2012 and 2014, we obtained data from a survey of the Korean Social Life, Health, and Aging Project. We asked participants if they had been diagnosed with stroke, myocardial infarction, angina pectoris, arthritis, pulmonary tuberculosis, asthma, cataract, glaucoma, hepatitis B, urinary incontinence, prostate hypertrophy, cancer, osteoporosis, hypertension, diabetes, hyperlipidemia, or metabolic syndrome. Cognitive function was assessed using the Mini-Mental State Examination for dementia screening in 2012, and depression was assessed using the Center for Epidemiologic Studies Depression Scale in 2012 and 2014. In 2015, a structured clinical interview for Axis I psychiatric disorders was administered to 235 people, and sleep disturbance was assessed using the Pittsburgh Sleep Quality Index. The perceived stress scale and the State-trait Anger Expression Inventory were also administered. Logistic regression analysis was used to predict sleep disturbance by gender, age, education, depression score, number of coexisting diseases in 2012 and 2014, current anger score, and perceived stress score.
RESULTS
Twenty-seven percent of the participants had sleep disturbances. Logistic regression analysis showed that the number of medical diseases three years ago, the depression score one year ago, and the current perceived stress significantly predicted sleep disturbances.
CONCLUSION
Comorbid medical disease three years previous and depressive symptoms evaluated one year previous were predictive of current sleep disturbances. Further studies are needed to determine whether treatment of medical disease and depressive symptoms can improve sleep disturbances.
Keyword
MeSH Terms
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Aged*
Aging
Anger
Angina Pectoris
Arthritis
Asthma
Cataract
Cognition
Cohort Studies
Comorbidity
Dementia
Depression
Education
Epidemiologic Studies
Follow-Up Studies*
Glaucoma
Hepatitis B
Humans
Hyperlipidemias
Hypertension
Hypertrophy
Korea
Logistic Models
Mass Screening
Myocardial Infarction
Osteoporosis
Prevalence
Prostate
Sleep Initiation and Maintenance Disorders
Stroke
Tuberculosis, Pulmonary
Urinary Incontinence
