ArticleGlobal heart2026
Association of Sleep Duration, Metabolic Markers, and Risk of All-Cause and Cause-Specific Mortality in China and the UK.
Article in Global heart, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Sleep duration is associated with various health outcomes like metabolic disturbances and mortality, but the underlying mechanisms remain unclear. Objectives: To investigate the link between sleep duration, metabolic markers, and mortality using data from the China Kadoorie Biobank (CKB) and the UK Biobank (UKB). Methods: Sleep duration was self-reported, and metabolic markers were quantified using nuclear magnetic resonance spectroscopy. The outcomes of interest were all-cause and cause-specific mortality. Linear regression was conducted to assess the association between sleep duration and metabolic markers, which were further compared with the association between metabolic markers and all-cause and cause-specific mortality using Cox models. Results: In both cohorts, sleep duration showed positive associations with all-cause and cause-specific mortality after adjustment. A total of 17 metabolic markers-encompassing lipoprotein subclasses in high-density lipoprotein cholesterol, relative lipoprotein lipid concentrations in very-low-density lipoproteins, cholesterol, and ketone bodies-were significantly associated with sleep duration and mortality. In general, the associations of sleep duration with metabolic markers and of these markers with mortality showed similar patterns for lipoprotein subclasses and relative lipoprotein lipid concentrations, whereas contrary patterns were observed for cholesterol and ketone bodies in the CKB. Furthermore, significant associations were also observed in the UKB cohort, with metabolic markers presenting generally consistent association patterns with sleep duration and mortality. Gender-specific analyses revealed significant links in females in the CKB and in both genders in the UKB. Sensitivity analyses confirmed the stability of these associations. Conclusions: Our findings suggest that lipid metabolism may partially explain the effect of sleep duration on mortality. These insights highlight the potential of targeted metabolic interventions to mitigate the risks associated with abnormal sleep patterns, especially when modifying sleep duration itself is challenging, and the projected health burden associated with sleep disorders could be reduced through metabolic-focused strategies. Lay Summary:
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