Dataset Information

Association between nighttime-daytime sleep patterns and chronic diseases in Chinese elderly population: a community-based cross-sectional study.

ABSTRACT:

Background

This study aimed to assess the relationship between specific nighttime-daytime sleep patterns and prevalence of different chronic diseases in an elderly population.

Methods

We conducted a community-based cross-sectional study in 4150 elderly Chinese, with an average age of 74 years. 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. Multivariable logistic regression models were used to analyze the relationship between nighttime-daytime sleep patterns and prevalence of chronic diseases.

Results

Overall prevalence of any of chronic diseases was 83.8%. Nighttime-daytime sleep patterns were defined according to nighttime sleep duration and habitual nappers/non-nappers. 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 [OR and 95% CI, 1.35 (1.01-1.80)] and lower prevalence of arthritis [OR and 95% CI, 0.46 (0.33-0.63)]. And those with "long nighttime sleep with daytime napping" had higher prevalence of diabetes [OR and 95% CI, 1.36 (1.05-1.78)] while lower prevalence of cancer [OR and 95% CI, 0.48 (0.26-0.85)] and arthritis [OR and 95% CI, 0.67 (0.51-0.86)]. Further, in habitual nappers, subjects were classified according to duration of nighttime sleep and daytime naps. 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 [OR and 95% CI, 1.73 (1.15-2.68)] while border-significantly and significantly negative association with cancer [OR and 95% CI, 0.49 (0.23-1.07)] and arthritis [OR and 95% CI, 0.64 (0.44-0.94)], respectively.

Conclusions

Elderly individuals with chronic diseases had different nighttime-daytime sleep patterns, and understanding these relationships may help to guide the management of chronic diseases.

SUBMITTER: Zhang S

PROVIDER: S-EPMC6489270 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Publications

Association between nighttime-daytime sleep patterns and chronic diseases in Chinese elderly population: a community-based cross-sectional study.

Zhang Shuo S Xie Li L Yu Herbert H Zhang Weituo W Qian Biyun B

BMC geriatrics 20190429 1

<h4>Background</h4>This study aimed to assess the relationship between specific nighttime-daytime sleep patterns and prevalence of different chronic diseases in an elderly population.<h4>Methods</h4>We conducted a community-based cross-sectional study in 4150 elderly Chinese, with an average age of 74 years. Sleep-related variables (nighttime sleep duration, daytime napping and duration) and chronic disease status, including diabetes, cardiovascular diseases (CVD), dyslipidemia cancer and arthri ...[more]

PMID: 31035939

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Project description:Study objectivesExamine bidirectional associations between daytime napping and nighttime sleep among pregnant individuals with insomnia disorder.MethodsWe used baseline data from a randomized controlled trial of insomnia treatment during pregnancy (n = 116). Participants in their second or third trimester of pregnancy self-reported daytime napping and nighttime sleep parameters using a sleep diary and wore an Actiwatch-2 during the same 7-day period. Linear regression models, accounting for intraindividual correlation, were used to estimate associations between daytime napping and nighttime sleep parameters (duration, efficiency, quality, awakenings). Models were also stratified by trimester of pregnancy.ResultsSixty-three percent of participants reported napping on at least 1 day. Among participants in the second trimester (65%), napping 15-59 minutes was associated with 6.3% greater self-reported sleep efficiency (95% confidence interval: 2.3, 10.2) and 0.5 units greater self-reported sleep quality (95% confidence interval: 0.0, 0.9) that night; napping 60+ minutes was associated with 0.6 hours shorter actigraphy-measured sleep duration (95% confidence interval: -1.0, -0.2). Napping was not associated with nighttime sleep overall or during the third trimester. Nighttime sleep parameters were not associated with napping duration the following day.ConclusionsAmong pregnant individuals with insomnia in the second trimester, short napping duration was associated with higher self-reported sleep efficiency and quality; long napping duration was associated with shorter actigraphy-measured sleep duration. Additional research is needed to examine the interaction between nap duration and nap timing. In the future, these results may lead to more nuanced recommendations for daytime napping among pregnant individuals with insomnia disorder.Clinical trial registrationRegistry: ClinicalTrials.gov; Name: Treatment for Insomnia during Pregnancy; URL: https://clinicaltrials.gov/ct2/show/NCT01846585; Identifier: NCT01846585.CitationBadon SE, Dietch R, Simpson N, Lyell DJ, Manber R. Daytime napping and nighttime sleep in pregnant individuals with insomnia disorder. J Clin Sleep Med. 2023;19(2):371-377.

Dataset Information

Association between nighttime-daytime sleep patterns and chronic diseases in Chinese elderly population: a community-based cross-sectional study.

Background

Methods

Results

Conclusions

Publications

Association between nighttime-daytime sleep patterns and chronic diseases in Chinese elderly population: a community-based cross-sectional study.

Similar Datasets

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