Gender Differences in Sleep Disturbance among Elderly Koreans: Hallym Aging Study

Sleep is an important component in our lives as it is necessary throughout one’s entire life span. This study was conducted to elucidate whether there are gender differences in sleep quality and what factors can affect sleep quality in community-dwelling elderly Koreans. A total of 382 subjects (175 males and 207 females) were recruited among elderly aged 45 or over who participated in the 2010 Hallym Aging Study (HAS). They were invited to a general hospital and were evaluated for socioeconomic status, smoking history, and various clinical measures. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). A higher score indicates poorer subjective sleep quality, (PSQI global score > 5 suggests sleep disturbance). After adjusting for potential covariates, our results show that alcohol increases the odds for poor sleep (odds ratio [OR] = 3.35, 95% confidence interval [CI] = 1.11–10.10) in males. In females, lack of exercise was the major risk factor of poor sleep as they are 4.46 times more likely to suffer from low sleep quality than those who exercise regularly (95% CI=1.56–13.75). Stress was also a risk factor for poor sleep. It was 5.60 times higher in the "always have stress" group than the "do not have stress" group (95% CI = 1.54–20.34). Thus, alcohol consumption is associated with men’s sleep quality, while exercise and stress level affect women's.

The Relationship between Height and Cognitive Function among Community-dwelling Elderly: Hallym Aging Study / 한국역학회지

OBJECTIVES: Height is known as an index that reflects the environment of the fetal, childhood, and adolescent periods, which affect adult health. This study was conducted to elucidate whether height is associated with cognitive impairment in community-dwelling elders in Korea. METHODS: The study subjects were recruited among community dwelling elderly individuals aged 65 or over who participated in the 2004 Hallym Aging Study. They were invited to a general hospital and were evaluated for socioeconomic status, smoking history, and various clinical measures. Cognitive function measurement was performed using the Korean-Mini Mental State Examination. Logistic regression was used to evaluate the association between height and cognitive function. RESULTS: After adjusting for potential covariates such as age and education, the smallest group was associated with higher risk of cognitive impairment compared with the tallest group among elderly men (odds ratio [OR], 4.20; 95% confidence interval [CI], 1.02-17.36), but not among elderly women (OR,1.65; 95% CI, 0.62-4.40). CONCLUSIONS: The reason for this difference according to sex may be explained by the differential effects of education on cognitive function by sex. A larger population-based prospective cohort study is needed to examine the association between height and cognitive function according to sex.