Daytime napping, a habit widely adopted globally, has an unclear association with obesity. In this study, we executed a meta-analysis to explore the relationship between daytime napping and obesity. We conducted a comprehensive search of the PubMed, Embase, Cochrane Library, Scopus, PsycINFO, and Web of Science databases for pertinent articles published up to April 2023. Random-effects models were utilized to calculate odds ratios (ORs) with 95% confidence intervals (CIs), and we assessed the heterogeneity of the included studies using the I statistic. To explore potential sources of heterogeneity, subgroup analyses were performed. The methodological quality of the studies was evaluated using the Newcastle-Ottawa Scale (NOS), and funnel plots were employed to detect any publication bias. Sensitivity analyses were conducted by sequentially omitting each study. We conducted a meta-analysis of twelve studies that included one each from the UK and Spain, five from the USA, and five from China, totalling 170,134 participants, to probe the association between napping and obesity. The pooled analysis suggested a higher risk of obesity in individuals who nap (OR: 1.22 [1.10-1.35], p < 0.001, I = 87%) compared to non-nappers. The meta-analysis results revealed variations in the summary ORs for studies conducted in China, Spain, the USA, and the UK. The ORs for China, Spain, the USA, and the UK were 1.05 (95% CI 0.90-1.23), 9.36 (95% CI 4.74-18.45), 1.27 (95% CI 1.10-1.47), and 1.39 (95% CI 1.32-1.47), respectively. A subgroup analysis based on age within the American population disclosed that napping in both adults and children heightened obesity incidence. A subgroup analysis based on nap duration found a significant rise in obesity occurrence when nap duration exceeded one hour, but no clear relationship emerged when nap duration was less than 1 h. In a subgroup analysis based on the definition of obesity, napping did not demonstrate a significant relationship with obesity when diagnostic criteria set obesity at a BMI of 25 or above. However, when the criteria were set at a BMI of 28 or 30 or more, napping significantly increased obesity risk. Our meta-analysis indicates a positive association between daytime napping and the risk of obesity. However, given the limited number of included studies, potential confounding factors might not have been fully addressed. Future well-designed prospective studies are required to further investigate this relationship. Large-scale studies are necessary to confirm our findings and elucidate the underlying mechanisms that drive these associations and causation.
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http://dx.doi.org/10.1038/s41598-023-37883-7 | DOI Listing |
J Sleep Res
January 2025
Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Seasonality of excessive daytime sleepiness has been proposed, yet no research has specifically investigated its impact on daytime sleepiness and cataplexy in central disorders of hypersomnolence. This study examined seasonal variations in daytime sleepiness and cataplexy in narcolepsy type 1, narcolepsy type 2 and idiopathic hypersomnia. Patients included in the study were on stable pharmacological treatment, and participated in sleep medicine interviews to assess diurnal sleepiness and daytime napping and completed the Epworth Sleepiness Scale to assess excessive daytime sleepiness (Epworth Sleepiness Scale ≥ 10).
View Article and Find Full Text PDFSleep Med
December 2024
Department of Psychiatry & Division of Sleep Medicine, AIIMS Rishikesh, India.
Among the mental health outcomes and disaster types (determined by damage to life, property, long-term consequences, displacement, and unpredictability), floods are associated with anxiety and sleep problems, mudslides with anxiety and mood disturbance, volcanic eruptions with acute stress reactions, and earthquakes with anxiety, depression, and physical complaints. Disasters such as tunnel collapse are unique as it involves the healthy, without loss of personal property or displacement; hence, they can have very different health-related outcomes. In this study, we explore mental health and sleep-related issues in workers rescued from an under-construction collapsed tunnel trapped for 17 days.
View Article and Find Full Text PDFNat Sci Sleep
December 2024
Department of Anesthesiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Purpose: Numerous studies have identified a correlation between sleep and delirium; however, the causal relationship remains ambiguous. This bidirectional two-sample Mendelian randomization (MR) study was conducted to examine the possible causal relationships between sleep traits and delirium.
Patients And Methods: Utilizing genome-wide association studies (GWAS), we identified ten sleep traits: chronotype, sleep duration, short sleep duration, long sleep duration, daytime napping, daytime sleepiness, insomnia, number of sleep episodes (NSE), sleep efficiency, and rapid eye movement sleep behavior disorder (RBD).
Sci Rep
December 2024
Department of Urology, Lu'an People's Hospital of Anhui Province, Lu'an Hospital of Anhui Medical University, Lu'an, China.
Urolithiasis is a common and recurrent condition in the urological spectrum. Despite various proposed mechanisms, the causal relationship between sleep traits and the risk of urolithiasis remains unclear. We used publicly available genome-wide association study (GWAS) summary data from the UK Biobank and FinnGen to perform a two-sample Mendelian randomization (MR) analysis and genetic correlation analysis, evaluating the causal relationship and genetic correlation between sleep traits (chronotype, getting up in the morning, sleep duration, nap during the day, and insomnia) and urolithiasis (calculus of the kidney and ureter, and calculus of the lower urinary tract).
View Article and Find Full Text PDFJ Occup Health Psychol
December 2024
Human Development and Family Studies, Pennsylvania State University.
Healthy sleep is essential to employee well-being and productivity, but many modern workers do not obtain adequate sleep. Are technology-related changes to job design (i.e.
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