Prevalence of complications and co-morbidities in males and females with obesity: Real-world insights from claims data analysis
- PMID: 39261304
- DOI: 10.1111/dom.15914
Prevalence of complications and co-morbidities in males and females with obesity: Real-world insights from claims data analysis
Abstract
Aim: To comprehensively examine the range of co-morbidities among males and females with a diagnosis of obesity.
Materials and methods: This cross-sectional retrospective study used US commercial and Medicare claims data from Merative MarketScan Research Databases to identify adults (age ≥ 18 years) with a diagnosis of obesity with continuous insurance coverage from 2018 to 2020. Co-morbidities were tabulated based on coded diagnoses, and prevalences were calculated in males and females across age groups. Age-adjusted odds ratios (ORs) determined differences in co-morbidities between the sexes.
Results: Of an eligible sample of 6.9 million, we identified 2 028 273 individuals with at least one obesity-related International Classification of Diseases, 10th Revision, Clinical Modification code. The proportions of males and females with obesity were 43.0% versus 57.0%. The most prevalent co-morbidities among males and females were hypertension (62.8% vs. 52.2%), dyslipidaemia (63.3% vs. 50.3%) and depression and/or anxiety (D/A; 29.7% vs. 48.5%). The prevalence of D/A was high in the younger age group, but steadily decreased with age in both sexes; however, hypertension and dyslipidaemia continued to increase with age. The presence of diagnosis of hypertension and dyslipidaemia was 6-8 years earlier in males than in females. Females had higher odds than males for osteoarthritis (OR 1.33), depression (OR 2.22) or osteoporosis (OR 7.10); all P < .0001.
Conclusions: Males with obesity received a diagnosis of cardiovascular risk factors at an earlier age than females, which may have contributed to the higher prevalence of coronary heart disease. Understanding sex-specific variations in co-morbidities across ages can support early screening and diagnosis of risk clusters for optimal obesity management.
Keywords: cardiometabolic disorder; hypertension; obesity.
© 2024 Eli Lilly and Company. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.
References
REFERENCES
-
- Blüher M. Obesity: global epidemiology and pathogenesis. Nat Rev Endocrinol. 2019;15(5):288‐298.
-
- Cooper AJ, Gupta SR, Moustafa AF, Chao AM. Sex/gender differences in obesity. Prevalence, comorbidities, and treatment. Curr Obes Rep. 2021;10(4):458‐466.
-
- World health organization. Obesity and overweight key facts. 2022 (Accessed 12 Dec, 2022, at https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight)
-
- Global BMIMC, Di Angelantonio E, Bhupathiraju SN, et al. Body‐mass index and all‐cause mortality: individual‐participant‐data meta‐analysis of 239 prospective studies in four continents. Lancet. 2016;388(10046):776‐786.
-
- Nyberg ST, Batty GD, Pentti J, et al. Obesity and loss of disease‐free years owing to major non‐communicable diseases: a multicohort study. Lancet Public Health. 2018;3(10):e490‐e497.
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