Purpose: The present study investigated the association between daytime napping and coronary heart disease (CHD) risk among adults.
Methods: Articles were detected by using PubMed, ISI Web of Science, and Scopus databases until November 8th, 2021. The relevant data were found among the eight included articles and were pooled for meta-analysis in adult participants via a random-effects model.
Results: Among 167,025 adults, the results revealed that daytime napping was associated with an enhanced risk of CHD (risk ratios [RR] = 1.30; 95% CI: 1.06, 1.60; p < 0.001). Subgroup analysis by daytime napping duration also indicated that daytime napping for at least 1 h had three times higher influence on the enhanced risk of CHD (RR = 1.34; 95% CI: 1.14, 1.58; p < 0.001) than that of daytime napping for less than 1 h (RR = 1.10; 95% CI: 1.02, 1.19; p = 0.014). In addition, subgroup analysis by region illustrated that daytime napping was linked with an enhanced risk of CHD in Chinese (RR = 1.41; 95% CI: 1.19, 1.66; p < 0.001), but not in European or American populations. Furthermore, the subgroup analysis of napping duration and risk of CHD suggested that their relation was significant just in those studies that controlled for depressive symptoms (RR = 1.52; 95% CI: 1.29, 1.80; p < 0.001, n = 3) and night sleep duration (RR = 1.42; 95% CI: 1.21, 1.66; p < 0.001, n = 5). The linear dose-response meta-analysis revealed that each 15-min increase in daytime napping was related with a 5% higher risk of CHD (RR = 1.05; 95% CI: 1.02, 1.08; I = 58.7%; p < 0.001). Furthermore, nonlinear dose-response meta-analysis revealed a positive linear relationship between daytime napping and CHD risk in adults (p nonlinearity = 0.484, p dose-response = 0.003).
Conclusion: Results showed that daytime napping was related with an increased risk of CHD in adults. The evidence from this study suggests that the public should be made conscious of the adverse outcomes of long daytime napping for CHD, notably among the Chinese population. Additional studies are required to confirm potential links between CHD risk and daytime napping.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s11325-022-02759-z | DOI Listing |
Clocks Sleep
January 2025
Circadian Physics Group, School of Physics, University of Sydney, Sydney, NSW 2006, Australia.
Fixed sleep schedules with an 8 h time in bed (TIB) are used to ensure participants are well-rested before laboratory studies. However, such schedules may lead to cumulative excess wakefulness in young individuals. Effects on older individuals are unknown.
View Article and Find Full Text PDFInt J Rheum Dis
January 2025
Department of Rheumatology, Wangjing Hospital, China Academy of Chinese Medicine Science, Beijing, China.
Background: Hyperuricemia (HUA), marked by elevated serum urate levels, is increasingly prevalent worldwide. The relationship between lifestyle factors such as sleep duration, daytime napping, and HUA risk remains unclear. Although some studies suggest that sleep variables, including short or long sleep durations and napping, may influence serum uric acid levels, results are inconsistent.
View Article and Find Full Text PDFAlpha Psychiatry
November 2024
Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Objective: Adverse sleep and wake patterns are associated with physical health complaints, including metabolic disorders. The aim of this study was to evaluate the relationship between delayed sleep phase syndrome (DSPS) and napping during the day with metabolic syndrome (MetS).
Methods: This study was conducted on 10 065 participants aged 35-65 years using baseline data from the Ravansar Non-Communicable Disease (RaNCD) cohort study.
Front Public Health
January 2025
Shanxi Provincial Key Laboratory of Drug Toxicology and Radiation Damage Drugs, Department of Radiology and Environmental Medicine, China Institute for Radiation Protection, Taiyuan, China.
Background: Cognitive impairment is a major public health concern in aging societies. This study aimed to investigate the prevalence of cognitive impairment and its associated factors among Chinese adults aged 60 years and older using data from the 2018 China Health and Retirement Longitudinal Study (CHARLS).
Methods: Utilizing data from the 2018 wave of CHARLS, we assessed participants' cognitive status using the Mini-Mental State Examination (MMSE), and the influencing factors related to cognitive impairment were analyzed by using the chi-square test and multifactor logistic regression.
Ann Med
December 2025
Department of Ophthalmology, The Affiliated People's Hospital of Ningbo University, Ningbo, China.
Objective: This study aimed to assess the associations between multidimensional sleep features and type 2 diabetes mellitus (T2DM).
Methods: We conducted a systematic search across the PubMed, Embase, Web of Science, and Scopus databases for observational studies examining the association between nighttime sleep duration, nighttime sleep quality, sleep chronotype, and daytime napping with type 2 diabetes mellitus (T2DM), up to October 1, 2024. If < 50%, a combined analysis was performed based on a fixed-effects model, and vice versa, using a random-effects model.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!