Wei Yu Chua, Daryl Kai Ann Chia, Yiong Huak Chan, Eugene Kwong Fei Leong, Ashley Chen, Sharen Asif, Yu An Wong, Javis Fung, Rachel Patricia Johnson, Shefali Jay Poojari, Qamaruzaman Syed Gani, Wen Lin, Shu Ning Wai, Geetha Kayambu, Serene Peiying Lim, Wen Joo Neo, Candice Xin Yi Wee, Davide Lomanto, Guowei Kim, Jimmy Bok Yan So, Asim Shabbir
{"title":"由 1501 名多种族亚裔患者组成的减肥手术寻求者队列中生活质量和情绪健康的决定因素。","authors":"Wei Yu Chua, Daryl Kai Ann Chia, Yiong Huak Chan, Eugene Kwong Fei Leong, Ashley Chen, Sharen Asif, Yu An Wong, Javis Fung, Rachel Patricia Johnson, Shefali Jay Poojari, Qamaruzaman Syed Gani, Wen Lin, Shu Ning Wai, Geetha Kayambu, Serene Peiying Lim, Wen Joo Neo, Candice Xin Yi Wee, Davide Lomanto, Guowei Kim, Jimmy Bok Yan So, Asim Shabbir","doi":"10.1111/cob.12707","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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%.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":10399,"journal":{"name":"Clinical Obesity","volume":" ","pages":"e12707"},"PeriodicalIF":2.2000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determinants of quality of life and emotional well-being in a bariatric surgery seeking cohort of 1501 multi-ethnic Asian patients.\",\"authors\":\"Wei Yu Chua, Daryl Kai Ann Chia, Yiong Huak Chan, Eugene Kwong Fei Leong, Ashley Chen, Sharen Asif, Yu An Wong, Javis Fung, Rachel Patricia Johnson, Shefali Jay Poojari, Qamaruzaman Syed Gani, Wen Lin, Shu Ning Wai, Geetha Kayambu, Serene Peiying Lim, Wen Joo Neo, Candice Xin Yi Wee, Davide Lomanto, Guowei Kim, Jimmy Bok Yan So, Asim Shabbir\",\"doi\":\"10.1111/cob.12707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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%.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":10399,\"journal\":{\"name\":\"Clinical Obesity\",\"volume\":\" \",\"pages\":\"e12707\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Obesity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/cob.12707\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Obesity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/cob.12707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Determinants of quality of life and emotional well-being in a bariatric surgery seeking cohort of 1501 multi-ethnic Asian patients.
Objective: 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.
Methods: 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.
Results: 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%.
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.
期刊介绍：
Clinical Obesity is an international peer-reviewed journal publishing high quality translational and clinical research papers and reviews focussing on obesity and its co-morbidities. Key areas of interest are: • Patient assessment, classification, diagnosis and prognosis • Drug treatments, clinical trials and supporting research • Bariatric surgery and follow-up issues • Surgical approaches to remove body fat • Pharmacological, dietary and behavioural approaches for weight loss • Clinical physiology • Clinically relevant epidemiology • Psychological aspects of obesity • Co-morbidities • Nursing and care of patients with obesity.
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