Prevalence and Risk Factors of Poor Sleep Quality among Chinese Elderly in an Urban Community: Results from the Shanghai Aging Study

Abstract

BackgroundSleep disorders causes a significant negative effect on mental and physical health, particularly among the elderly. The disease burden and risk factors of poor sleep quality of the elderly need to be verified using a validated form of measurement in urban mainland China.MethodsThis study included 1086 community residents aged ≥60 years who completed the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI). Poor sleeper was defined by a CPSQI global score of >5. Subjects also accepted the neurological and neuropsychological assessments, including the Mini-Mental State Examination, Center for Epidemiological Studies Depression Scale, and Zung Self-Rating Anxiety Scale (ZSAS). A history of chronic diseases was confirmed by the medical records of each participant.ResultsThe prevalence of poor sleep quality in this population was 41.5% (95% confidence interval (CI) = 38.6–44.5%), with a higher rate observed in elderly females (45.8% [95% CI = 41.9–49.7%]) than that in elderly males (35.8% [95% CI = 31.4–40.1%]). The prevalence rate increased with age, from 32.1% (95% CI = 27.8–36.4%) in those aged 60–69 years to 52.5% (95% CI = 45.9–59.1%) in those aged ≥80 years (p value for trend<0.001). Multivariate logistic regression analysis indicated that age (OR = 1.03[95% CI = 1.01–1.05], p<0.001), less education duration (OR = 1.04 [95% CI = 1.01–1.08, p = 0.014), living alone (OR = 1.62 [95% CI = 1.02–2.58], p = 0.04), anxiety (ZSAS score: OR = 1.09 [95% CI = 1.05–1.12], p<0.001), number of chronic disease (OR = 1.18 [95% CI = 1.07–1.30], p = 0.14) and arthritis (OR = 1.45[95% CI = 1.05–2.01], p = 0.025) were risk factors of poor sleep quality.ConclusionsPoor sleep quality is highly prevalent among elderly Chinese residents in urban Shanghai. Growing attention and comprehensive countermeasures involving psycho-social and personal activities might alleviate the sleep problem in the elderly.

Exploring Gender Difference in Sleep Quality of Young Adults: Findings from a Large Population Study

“…Gender difference in poor sleep quality has been previously reported for older populations, 26 but evidence from some recent studies also found gender difference to be present in sleep quality in young adults. 20 However, existing studies do not provide information on whether gender difference remains significant after concurrently considering the impact of other socio-demographic, lifestyle factors, and affective disorders.…”

Sleep Quality and Its Contributing Factors Among Elderly People: A Descriptive-Analytical Study

“…Similarly, Wang et al reported that the prevalence of sleeplessness among elderly people in China was 37.75% (13). Luo et al also studied 1086 elderly people in urban areas of China and found that 41.5% of them had poor sleep quality (18). The prevalence of poor-quality sleep is greater in all these studies than in ours (18).…”

“…Luo et al also studied 1086 elderly people in urban areas of China and found that 41.5% of them had poor sleep quality (18). The prevalence of poor-quality sleep is greater in all these studies than in ours (18). This difference may be because those studies were conducted on elderly people who were hospitalized in hospitals or nursing homes while we selected our participants from outpatient healthcare centers.…”

Sleep quality and OPRM1 polymorphisms: a cross-sectional study among opioid-naive individuals

“…In another study, a higher prevalence of poor sleep quality (32.9%) was reported among 1,118 Malaysian tertiary students (Lai, Say, 2013). Shift work, sleep disorders, socioeconomic status, aging, anxiety and the number of chronic disease, amongst others, were found to be significantly associated with poor sleep quality Patel et al, 2010;Luo et al, 2013;Hinz et al, 2017;Tang et al, 2017). Poor sleep quality is often associated with accidents (Garbarino et al, 2001;Powell et al, 2007), and an increased in total healthcare and lost productivity costs (Sarsour et al, 2011).…”