{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Xi L"],"funding":["Capacity building for multidisciplinary cooperation in diagnosis and treatment of major metabolic diseases","Noncommunicable Chronic Diseases-National Science and Technology Major Project","CAMS Innovation Fund for Medical Sciences","National Natural Science Foundation of China","Chinese Academy of Engineering","National Key Research and Development Program of China","Shanghai Medical and Health Development Foundation","The Leader Project of the Oriental Talent Program in 2022"],"pagination":["e70095"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12092374"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["17(5)"],"pubmed_abstract":["<h4>Background</h4>To determine the associations between sleep phenotypes and the risks of specific obesity types and weight gain in patients with type 2 diabetes (T2D), especially in different genetic risk groups.<h4>Materials and methods</h4>We conducted a prospective study involving 58 890 participants. Sleep and napping were assessed according to the standardized questionnaire. General and abdominal obesity were defined by BMI or visceral fat area (VFA), respectively. Multivariable Cox regression, stratified, and joint analysis were performed to explore potential correlations. Furthermore, mediation models were constructed to figure out the mediating role of metabolic factors (blood pressure, UACR, and HbA1c).<h4>Results</h4>During a median 3.05-year follow-up period, short sleep incre"],"journal":["Journal of diabetes"],"pubmed_title":["Sleep Phenotypes, Genetic Susceptibility, and Risk of Obesity in Patients With Type 2 Diabetes: A National Prospective Cohort Study."],"pmcid":["PMC12092374"],"funding_grant_id":["2020-12M-5-002","2019‐XZ‐42","Z155080000004","2023ZD0508100","2019-XZ-42","No.153","2016YFC0901200","2018YFC1311800","82270896","DMRFP_II_01"],"pubmed_authors":["Peng Y","Shao H","Fu S","Qiu H","Zhang J","Mao Q","Zhao Z","Dai Y","Zhang Q","Zhang P","Wu H","Liu Y","Yan Z","Xi L","Chen Y","Wang W","Wang X","Shu Y","Kuang J","Yu Y","Yang H","Qian J","Xie W","Xu N","Pan Y","Feng Z","Xu C","Jin Y","Sun X","Li L","Ning G","Yuan C","Li S","Lu H","Zhang Y","Gao L","Cao Y","Hu L","Shi J"],"additional_accession":[]},"is_claimable":false,"name":"Sleep Phenotypes, Genetic Susceptibility, and Risk of Obesity in Patients With Type 2 Diabetes: A National Prospective Cohort Study.","description":"<h4>Background</h4>To determine the associations between sleep phenotypes and the risks of specific obesity types and weight gain in patients with type 2 diabetes (T2D), especially in different genetic risk groups.<h4>Materials and methods</h4>We conducted a prospective study involving 58 890 participants. Sleep and napping were assessed according to the standardized questionnaire. General and abdominal obesity were defined by BMI or visceral fat area (VFA), respectively. Multivariable Cox regression, stratified, and joint analysis were performed to explore potential correlations. Furthermore, mediation models were constructed to figure out the mediating role of metabolic factors (blood pressure, UACR, and HbA1c).<h4>Results</h4>During a median 3.05-year follow-up period, short sleep incre","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 May","modification":"2026-06-01T10:22:24.693Z","creation":"2026-04-08T11:22:37.475Z"},"accession":"S-EPMC12092374","cross_references":{"pubmed":["40394863"],"doi":["10.1111/1753-0407.70095"]}}