Elucidating the association between specific sleep patterns, and different chronic diseases, has significant implication in public health and management of chronic diseases. Altered sleep may affect or result from a chronic disease.
Research design is very critical in exploring the relationship between sleep patterns and chronic diseases. Therefore, more research is needed to understand what patterns of nighttime and daytime sleep are healthy, and for whom. Further, significant relationship was found between nighttime sleep and daytime napping. reported that the prevalence of daytime napping was about 68.6% in a middle-aged Chinese population. In China, daytime napping is a popular sleep behavior. Daytime napping is regarded as one component of a healthy lifestyle, especially in Latin America and Mediterranean countries. Previous studies often emphasized on the all-day-long sleep duration with consideration of the distribution of nighttime and daytime. Sleep habits may be an important indicator of chronic diseases including diabetes, hypertension, dyslipidemia, coronary heart diseases and cancer, though research findings have been mixed. Thus, the relationship between sleep duration and chronic diseases differs for the elderly and middle-aged adults. Numerous health problems prevalent in the elderly may also influence sleep duration. Sleep physiology undergoes significant changes across the lifespan, and the distributions of sleep duration vary with age. A large population-based study conducted in China showed significant correlations between chronic diseases, such as hypertension and dyslipidemia, dyslipidemia and diabetes, diabetes and arthritis, which makes the intervention and health promotion more difficult to carry out among the elderly populations. In addition, several chronic diseases often occur concurrently in elderly people, which makes the management of these disease more challenging. It was reported that the proportion of those seniors aged 65 years or older suffering from one or more chronic diseases rose from 86.9 to 92.2% in the US from 1998 to 2009. The number of people diagnosed with chronic diseases increases with age and over the years. Chinese populations are rapidly aging in recent decades, which intensifies the impact of chronic diseases. In China, more than 80% of deaths and 70% of disability-adjusted life-years lost were reported due to chronic diseases in 2008. ConclusionsĮlderly individuals with chronic diseases had different nighttime-daytime sleep patterns, and understanding these relationships may help to guide the management of chronic diseases.Ĭhronic diseases constitute a major challenge to global public health with respect to quality of life and longevity. Compared to “short nighttime sleep with long daytime napping”, individuals with “long nighttime sleep with short daytime napping” had significantly positive association with diabetes prevalence while border-significantly and significantly negative association with cancer and arthritis, respectively. Further, in habitual nappers, subjects were classified according to duration of nighttime sleep and daytime naps. And those with “long nighttime sleep with daytime napping” had higher prevalence of diabetes while lower prevalence of cancer and arthritis.
Taking the nighttime-daytime sleep pattern “short nighttime sleep with daytime napping” as reference, those with “long nighttime sleep without daytime napping” had higher prevalence of diabetes and lower prevalence of arthritis. Nighttime-daytime sleep patterns were defined according to nighttime sleep duration and habitual nappers/non-nappers. Overall prevalence of any of chronic diseases was 83.8%. Multivariable logistic regression models were used to analyze the relationship between nighttime-daytime sleep patterns and prevalence of chronic diseases. Sleep-related variables (nighttime sleep duration, daytime napping and duration) and chronic disease status, including diabetes, cardiovascular diseases (CVD), dyslipidemia cancer and arthritis were collected for the study. We conducted a community-based cross-sectional study in 4150 elderly Chinese, with an average age of 74 years.
This study aimed to assess the relationship between specific nighttime-daytime sleep patterns and prevalence of different chronic diseases in an elderly population.
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