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Determinants of quality of life and emotional well‐being in a bariatric surgery seeking cohort of 1501 multi‐ethnic Asian patients.
- Source :
-
Clinical Obesity . Oct2024, p1. 10p. 1 Illustration. - Publication Year :
- 2024
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Abstract
- Summary Objective Methods Results Conclusion The relationship between ethnicity, obesity and health‐related quality of life outcomes in a multi‐ethnic population remains poorly understood. We aim to investigate the relationship between ethnicity, body mass index (BMI), obesity‐associated diseases, as well as determinants of quality of life (QoL) in Southeast Asian patients with obesity. We aim to develop and validate a simple objective score to identify patients with obesity at high risk for major depression.Associations between ethnicity, obesity‐associated diseases, BMI and determinants of QoL (Patient Health Questionnaire‐9 and 36‐Item Short Form Survey) were analysed using multivariate logistic regression in a prospective cohort of 1501 patients with obesity. Multivariate regression and receiver operating characteristics curves were used to develop and validate a novel scoring system to identify patients at risk of major depression.Patients of Chinese, Malay and Indian ethnicity had increased risk of hypertension (odds ratio [OR]: 1.51 [95% confidence interval [CI]: 1.19–1.92, p < .001]), BMI Class 4 (OR: 17.89 [95% CI: 9.53–33.60, p < .001]) and major depression (OR: 1.71 [95% CI: 1.23–2.39, p = .002]), respectively. Factors associated with major depression (gender, ethnicity, age, obstructive sleep apnoea, Physical Component Score and Mental Component Score scores) were used to create and validate a novel scoring system with an area under curve of 0.812 (95% CI: 0.787–0.837). A cutoff of 4 of 7 points was identified with a sensitivity of 70%, specificity of 81%, positive predictive of 53% and negative predictive value of 90%.The prevalence of metabolic complications from obesity significantly varies with ethnicity. We developed a novel and simple scoring tool combining objective demographic and patient‐reported outcomes to screen and triage patients at risk of major depression. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17588103
- Database :
- Academic Search Index
- Journal :
- Clinical Obesity
- Publication Type :
- Academic Journal
- Accession number :
- 180549288
- Full Text :
- https://doi.org/10.1111/cob.12707