Determinants of quality of life and emotional well-being in a prospective bariatric cohort of 1501 multi-ethnic Asian patients

Author:

Shabbir Asim1,Chua Wei Yu2,Chia Daryl1,Chan Yiong Huak,Leong Eugene1,Chen Ashley2,Asif Sharen2,Wong Yu An2,Fung Javis1,Johnson Rachel1,Poojari Shefali1,Gani Qamaruzaman1,Lin Wen1,Wai Shu Ning1,Kayambu Geetha1,Lim Serene1,Neo Wen Joo1,Wee Candice1,Lomanto Davide1,Kim Guowei1,So Jimmy1

Affiliation:

1. National University Hospital

2. National University of Singapore

Abstract

Abstract Objective:The relationship between ethnicity, obesity and health-related quality of life (HR-QoL) outcomes in a multi-ethnic population remain poorly understood. We aim to investigate the relationship between ethnicity, body mass index (BMI), comorbidities, 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 bariatric patients at high risk for major depression. Methods:Associations between ethnicity, comorbidities, BMI and determinants of QoL (PHQ-9 and SF-36) were analysed using multivariate logistic regression in a prospective cohort of 1501 bariatric patients. 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. Results:Patients of Chinese, Malay and Indian ethnicity had increased risk of hypertension (OR: 1.51 [95% CI: 1.19–1.92, p<0.001]), BMI Class 4 (OR: 17.89 [95% CI: 9.53-33.60, p<0.001]) and major depression (OR: 1.71 [95% CI: 1.23–2.39, p=0.002]) respectively. Females (OR: 1.46 [95% CI: 1.16 – 1.84, p=0.001] & OR: 1.43 [95% CI: 1.11 – 1.83, p=0.005]) and Indian ethnicity (OR: 1.47 [95% CI: 1.09 – 1.98, p=0.011] & OR: 1.42 [95% CI: 1.04 – 1.94, p=0.028]) are at increased risk for poor physical & mental quality of life. Factors associated with major depression (gender, ethnicity, age, OSA, PCS and MCS scores) were used to create and validate a novel scoring system with an AUC of 0.812 (95% CI: 0.787-0.837). A cut-off of 4 of 7 points was identified on ROC curves and Youden’s index with a sensitivity of 70%, specificity 81%, PPV 53% and NPV 90%. Conclusion: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.

Publisher

Research Square Platform LLC

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