Evidence on whether habitual sleep duration and sleep quality are associated with increased insulin resistance is inconsistent. Here, we investigated the associations between different measures of habitual sleep with glycemic traits through cross-sectional and Mendelian randomization (MR) analyses. We assessed the associations of sleep duration and sleep quality with glycemic traits using multivariable linear regression models adjusted for potential confounders in 4672 middle-aged (45-65 years; 48% men) nondiabetic participants of the Netherlands Epidemiology of Obesity (NEO) study. Genetic variants for total, short, and long sleep duration were used as instrumental variables in MR analyses using summary-level data of glycemic traits in nondiabetic individuals (MAGIC; = 58,074). In cross-sectional analyses, shortest sleepers (median 5.0 h of sleep per night) had 14.5% (95% confidence interval (CI): 2.0; 28.6%) higher fasting insulin level and 16.3% (95% CI: 2.7; 31.7%) higher HOMA-β. Bad sleep quality was associated with higher insulin resistance (e.g., 14.3% (95% CI: 4.7; 24.9%) higher HOMA-IR). All these associations disappeared after adjustment for BMI and the risk of sleep apnea. MR analyses did not indicate a causal association between total, short or long sleep duration and glycemic traits. Therefore, our used measures of habitual sleep duration and sleep quality are unlikely to directly associate with insulin resistance.
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http://dx.doi.org/10.3390/jcm8050682 | DOI Listing |
Am J Health Promot
January 2025
Department of Health Management and Policy, College for Public Health and Social Justice, Saint Louis University, St. Louis, MO, USA.
Purpose: Examining the associations between sleep duration and lifestyle risk factors and assessed whether sex modify such associations among U.S. adolescents.
View Article and Find Full Text PDFEur J Med Res
January 2025
Department of General Medicine, Linfen City People's Hospital, Linfen, Shanxi, China.
Background: Sleep disturbance is a common concern among stroke survivors, yet the association of sleep duration and sleep disorders with post-stroke depression and all-cause and cardiovascular disease (CVD) mortality remains elusive. We aimed to explore these associations using data from the National Health and Nutrition Examination Survey (NHANES).
Methods: Adult stroke survivors from NHANES 2005-2018 were included.
Sci Rep
January 2025
The Second Affiliated Hospital of ZunYi Medical University, Zunyi, Guizhou, China.
It is crucial to determine the potential subgroups of sleep disturbances in patients undergoing elective surgery based on the importance of symptom clusters and individual characteristics in order to develop targeted symptom management plans. This study explored the potential categories of postoperative sleep disturbances in patients undergoing elective surgery through latent profile analysis, and explored the influencing factors of each category. A total of 400 eligible elective surgery patients were included in the analysis, and three potential subgroups were identified: mild sleep disturbance group (c1 = 140,35.
View Article and Find Full Text PDFSleep Health
January 2025
Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA.
Objectives: To describe sleep duration, adherence to sleep recommendations, and behavioral and sociodemographic correlates of sleep among Samoan children.
Methods: In a longitudinal cohort study of Samoan children aged 2-9years (n = 481; 50% female), primary caregivers reported usual number of hours of nighttime sleep during 2015, 2017/2018, and 2019/2020 data collection waves. Associations between behavioral and sociodemographic characteristics and sleep duration were assessed using generalized linear and mixed effect regressions.
PLoS One
January 2025
Department of Disease Control and Environmental Health, School of Public Health, Makerere University, Kampala, Uganda.
Background: Psychoactive substance use in adults and second-hand smoke (SHS) exposure among children are leading contributors to sleeping problems. Despite this, there is limited data on how these exposures influence sleep patterns in informal settings. Our study assessed the associations between substance use, SHS exposure and sleep disturbances among adults and children in an urban informal settlement in Uganda.
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