Background: Individual unhealthy sleep behaviours have been associated with increased risks of all-cause mortality and deaths due to cardiovascular disease (CVD) or cancer. The evidence regarding the association of sleep patterns with these risks is limited.
Objective: To examine the associations of sleep patterns with all-cause, CVD and cancer mortality in a large prospective cohort.
Methods: This prospective cohort study included 283,443 adults from UK Biobank without CVD and cancer at baseline. We created a healthy sleep score and sleep patterns combining five individual sleep behaviours.
Results: During a mean (standard deviation) of 8.9 (1.1) years (2.5 million person-years) of follow up, a total of 7936 all-cause deaths, 762 CVD-caused deaths, and 4540 cancer-caused deaths occurred during follow up. One point increase of the healthy sleep score was associated with a 4-11% lower risk of all-cause mortality (Hazard Ratio [HR], 0.94; 95% CI, 0.92-0.96), CVD mortality (HR, 0.89; 95% CI, 0.83-0.95) and cancer mortality (HR, 0.96; 95% CI, 0.93-0.99), with adjustment for age, sex, assessment centres, smoking status, alcohol intake status, socioeconomic status and physical activity. Compared with participants with an unfavourable sleep pattern, those with a favourable sleep pattern had 24-42% lower risks of all-cause and CVD mortality. The association with all-cause mortality tended to be stronger among underweight participants and those with insufficient physical activity.
Conclusions: A healthy sleep pattern was associated with lower risks of all-cause mortality and mortality from CVD and cancer. Our findings highlight the importance of improving overall sleep behaviours in lowering mortality.
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http://dx.doi.org/10.1111/joim.13367 | DOI Listing |
Int J Numer Method Biomed Eng
March 2025
Department of Mathematics, Università degli Studi di Trento, Trento, Italy.
Research in the dynamics of blood flow is essential to the understanding of one of the major driving forces of human physiology. The hemodynamic conditions experienced within the cardiovascular system generate a highly variable mechanical environment that propels its function. Modeling this system is a challenging problem that must be addressed at the systemic scale to gain insight into the interplay between the different time and spatial scales of cardiovascular physiology processes.
View Article and Find Full Text PDFJ Sleep Res
March 2025
Centre of Neurology, Department of Parkinson, Sleep and Movement Disorders, University Hospital Bonn, Bonn, Germany.
Accurate quantification of REM sleep without atonia (RSWA) is essential in the diagnosis of idiopathic/isolated REM sleep behaviour disorder (iRBD). This study aims to validate RBDtector, a free and open-source tool for automated RSWA quantification using the Sleep Innsbruck Barcelona (SINBAR) scoring method, by comparing its performance against human visual scoring in a large independent cohort of subjects with iRBD and healthy controls. Muscle activity from 118 iRBD participants and 37 healthy controls that underwent polysomnography was analysed by RBDtector and compared with human visual scoring.
View Article and Find Full Text PDFNutrients
February 2025
Department of Nutrition and Health Psychology, Faculty of Health Sciences, American University of Madaba, MR62+F79, Madaba 11821, Jordan.
Background: Turkish coffee (TC), a traditional unfiltered coffee preparation method, contains unique bioactive compounds due to its specific brewing process. While TC's cultural significance is well-documented, its acute physiological and psychological effects remain understudied.
Objectives: This randomized, controlled crossover trial investigated the acute effects of a standardized TC dose (3 mg caffeine/kg body weight) on metabolic and psychological parameters in healthy female university students (n = 52, age: 20.
Nutrients
February 2025
School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney 2052, Australia.
Limited research has examined how older adults' lifestyles intersect with multimorbidity to influence mortality risk. In this community-dwelling prospective cohort, the Sydney Memory and Ageing Study, principal component analysis was used to identify lifestyle patterns using baseline self-reported data on nutrition, lifestyle factors, and social engagement activities. Multimorbidity was defined by self-reported physician diagnoses.
View Article and Find Full Text PDFHealthcare (Basel)
March 2025
School of Nursing and Health Management, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China.
Background And Purpose: Previous studies have shown that socioeconomic status influences cognitive health in adults. Therefore, it is important for the development of healthy aging policies to further investigate the effect of specific socioeconomic factors on cognitive function in older people and the possible mechanism. In this study, three specific socioeconomic factors (i.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!