Abstract

Abstract Background Obesity is a heterogeneous chronic condition that has varying metabolic, structural, inflammatory, degenerative, neoplastic and psychological health effects. We aimed to identify common patterns of obesity-related conditions in a nationally representative sample. Methods Respondents age ≥18y with body mass index (BMI) >25 kg/m2 in NHANES 2017-2018 were clustered based on key obesity-related conditions including type 2 diabetes (T2D), dyslipidemia, hypertension (HTN), cardiovascular disease (CVD), chronic kidney disease (CKD), osteoarthritis, physical limitation (PL), cancer, depression, and anxiety. Hierarchical adaptive means clustering was employed with NHANES survey weights. An optimal number of clusters was chosen with the "elbow method." Patient characteristics were compared across clusters. Clusters were characterized by conditions with a ≥ 50% prevalence in descending order. Results Six clusters were identified among 3,084 respondents. Cluster 1 (15.8% of the respondents; mean age: 34.9y; female: 53.5%; mean BMI: 30.8) had no obesity-related conditions. Cluster 2 (27.7%; 47.3; 42.7%; 32.5) was dominated by HTN. Cluster 3 (9.9%; 58. 0; 44.1%; 33. 0) was dominated by CKD and HTN. Cluster 4 (13.2%; 55.1; 68. 0%; 33.7) was dominated by depression, HTN, PL and dyslipidemia. Cluster 5 (23.7%; 59.4; 50.7%; 32.6) was dominated by HTN, PL, CVD and dyslipidemia. Cluster 6 (10.1%; 67.8; 45. 0%; 34.3) was dominated by HTN, dyslipidemia, T2D, PL, and CVD. Clusters 4 and 6 incurred the highest healthcare use. Conclusions Adults with overweight and obesity in the US have distinct patterns of obesity-related conditions, the burden of which generally increased with obesity severity and age. Presentation: No date and time listed

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