Manrong Xu, Menghan Li, Yawen Zhang, Lianxi Li, Yun Shen, Gang Hu
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引用次数: 0
Abstract
Background
The definition of clinical obesity was newly announced. The aim of our study was to investigate the association of preclinical obesity and clinical obesity either at baseline or determined during follow-ups with the risk of all-cause mortality.
Methods
Data were collected from 232,721 participants in the UK Biobank. Dysfunctions caused by obesity, in combination with an excess of anthropometric parameters, were used to diagnose clinical obesity. Participants were categorised into six clusters according to their baseline and follow-up dysfunction status. Time-dependent Cox proportional hazards regression was used to compare hazard ratios (HRs) for mortality across six clusters.
Results
In a total of 19,704 deaths over a mean follow-up of 13.4 years, participants in Cluster 6 (clinical obesity at baseline; HR = 2.30, 95% CI: 2.16–2.44) and Cluster 3 (non-obesity with baseline dysfunctions; HR = 2.02, 95% CI: 1.85–2.20) exhibited the highest multivariable-adjusted mortality risk compared with participants without obesity and dysfunction at baseline and during follow-up (Cluster 1). This was followed by participants in Cluster 2 (non-obesity without baseline but with follow-up dysfunctions; HR = 1.99, 95% CI: 1.88–2.10), Cluster 5 (preclinical obesity with follow-up dysfunctions; HR = 1.97, 95% CI: 1.87–2.07), and Cluster 4 (preclinical obesity without follow-up dysfunctions; HR = 1.15, 95% CI: 1.09–1.22). Subgroup analyses showed consistently higher mortality risks in Cluster 6 across various demographics, notably among individuals with higher educational qualifications.
Conclusions
Clinical obesity was significantly associated with elevated all-cause mortality risk. These findings underscore the importance of early screening and intervention for dysfunctions in patients with obesity.
期刊介绍:
Diabetes/Metabolism Research and Reviews is a premier endocrinology and metabolism journal esteemed by clinicians and researchers alike. Encompassing a wide spectrum of topics including diabetes, endocrinology, metabolism, and obesity, the journal eagerly accepts submissions ranging from clinical studies to basic and translational research, as well as reviews exploring historical progress, controversial issues, and prominent opinions in the field. Join us in advancing knowledge and understanding in the realm of diabetes and metabolism.