Correlates of Self-Reported Sleep Duration in Middle-Aged and Elderly Koreans: from the Health Examinees Study

Abstract

Though various factors related to fluctuations in sleep duration have been identified, information remains limited regarding the correlates of short and long sleep duration among the Korean population. Thus, we investigated characteristics that could be associated with short and/or long sleep duration among middle-aged and elderly Koreans. A total of 84,094 subjects (27,717 men and 56,377 women) who participated in the Health Examinees Study were analyzed by using multinomial logistic regression models. To evaluate whether sociodemographic factors, lifestyle factors, psychological conditions, anthropometry results, and health conditions were associated with short and/or long sleep duration, odds ratios (ORs) and 95% confidence intervals (CIs) were estimated with sleep duration of 6–7 hours as the reference group, accounting for putative covariates. Regardless of sexual differences, we found that adverse behaviors and lifestyle factors including low educational attainment, unemployment, being unmarried, current smoking status, lack of exercise, having irregular meals, poor psychosocial well-being, frequent stress events, and poor self-rated health were significantly associated with abnormal sleep duration. Similarly, diabetes mellitus and depression showed positive associations with abnormal sleep duration in both men and women. Our findings suggest that low sociodemographic characteristics, adverse lifestyle factors, poor psychological conditions, and certain disease morbidities could be associated with abnormal sleep duration in middle-aged and elderly Koreans.

Factors associated with sleep duration across life stages: results from the Canadian Health Measures Survey

“…Fourth, the sleep questionnaire in the CHMS did not include details such as time adults and older adults in our study. These findings are consistent with previous research, [23][24][25][26] although it should be noted that the relationship between mental health and sleep is bidirectional and likely involves a complex interplay between biological and behavioural factors. 56 Notably, in contrast to studies reporting associations between lifestyle/ behavioural factors and sleep duration in adults, [22][23][24] these factors were not significant in our study, although unadjusted models suggested a possible link between current smoking and both short and long sleep in adults (Table 3).…”

“…Potential correlates of sleep duration were identified from the existing literature [13][14][15][16][17][18][19][20][21][22][23][24][25][26] as applicable to each age group.…”

“…12 Studies in various countries have explored potential correlates of sleep duration among children, [13][14][15][16][17][18] adolescents [18][19][20][21] and adults. [22][23][24][25][26] For example, sociodemographic factors, such as ethnicity, parental education and household income, [17][18][19] as well as lifestyle factors, especially screen time (e.g., television, computer), [15][16][17]20,21 have been identified as important correlates of sleep duration among children and adolescents. In adults, additional sociodemographic correlates, including employment and marital status, as well as various factors related to lifestyle (e.g., physical activity, smoking) and physical and mental health (e.g., self-rated general health, depression, chronic conditions) were found to affect sleep duration.…”

“…In adults, additional sociodemographic correlates, including employment and marital status, as well as various factors related to lifestyle (e.g., physical activity, smoking) and physical and mental health (e.g., self-rated general health, depression, chronic conditions) were found to affect sleep duration. [22][23][24][25][26] To the best of our knowledge, there has not been a detailed assessment of factors associated with sleep duration in the general Canadian population. Given crosscultural differences in sleep duration and its correlates, [26][27][28] identifying determinants of sleep duration in the Canadian context may have important implications for informing the development of future intervention strategies aimed at improving sleep.…”

Interaction between the <i>RGS6</i> gene and psychosocial stress on obesity-related traits

“…In only SNP model results without stress and SNP x stress level terms, two SNPs (rs2238199 and rs2681749) had nominal associations with at least one obesity-related phenotype. In particular, rs2238199 showed statistically significant associations with BMI (p = 0.009), but [12]. According to their report, the prevalence of severe distress (PWI-SF ≥27) in total sample was 13.7%, and prevalence in women (15.6%) was higher than that of men (9.9%).…”