Sleep disorders are common conditions with significant public health implications, and their prevalence has been rising markedly alongside the obesity epidemic. These disorders not only lead to individual health problems such as daytime sleepiness, cognitive impairment, and reduced work efficiency, but also impose a substantial socioeconomic burden. Notably, sleep disorders are often accompanied by multiple comorbidities, with obesity and mental disorders being the most prominent, thereby forming a complex pathophysiological network. These disorders pose substantial challenges for early diagnosis and intervention, as they often exhibit overlapping symptoms and complex neurobiological mechanisms.
Although comorbidity among obesity, sleep disorders, and mental disorders is becoming increasingly common and their associations have been confirmed, the precise causal pathways remain unclear due to the underlying complexity of their bidirectional interactions. This has limited the formulation of effective intervention measures.
To address this gap, the present study aims to adopt an integrated approach by leveraging the rich radiomics, genetics, metabolomics, proteomics, and comprehensive epidemiological data available in the UK Biobank. Through multidimensional analysis, we seek to identify new risk factors, focus on the interplay of the “obesity-sleep disorder-mental disorder” triad, and adopt a multidisciplinary research perspective. We aim to delve into the complex associations between metabolic abnormalities, sleep disorders, and neuropsychiatric symptoms, providing a theoretical basis for the development of integrated treatment strategies. This comprehensive approach will facilitate more personalized and timely interventions, ultimately improving patient outcomes .
