Jirapitcha Boonpor, Solange Parra-Soto, Atefeh Talebi, Ziyi Zhou, Fernanda Carrasco-Marin, Fanny Petermann-Rocha, Paul Welsh, Jill P. Pell, Naveed Sattar, Jason M. R. Gill, Stuart R. Gray, Carlos Celis-Morales, Frederick K. Ho
{"title":"11项人体测量指标与2型糖尿病的相关性和预测性能:来自英国生物银行的前瞻性队列研究","authors":"Jirapitcha Boonpor, Solange Parra-Soto, Atefeh Talebi, Ziyi Zhou, Fernanda Carrasco-Marin, Fanny Petermann-Rocha, Paul Welsh, Jill P. Pell, Naveed Sattar, Jason M. R. Gill, Stuart R. Gray, Carlos Celis-Morales, Frederick K. Ho","doi":"10.1002/oby.23849","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>The study aim was to investigate associations of 11 anthropometric measures with incident type 2 diabetes and compare their predictive performance.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This prospective cohort study included 161,127 White European UK Biobank participants who were free of diabetes at baseline. Anthropometric measures included height, weight, BMI, A Body Shape Index, waist circumference, waist to hip ratio, waist to height ratio (WHtR), hip circumference, visceral adiposity index, hip index, and anthropometric risk index. The associations were examined using Cox proportional hazard models. The differences in C-index were used to compare predictive performance between BMI and other anthropometric measures.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The median follow-up was 10.0 (interquartile range: 9.3–10.8) years, during which 6315 participants developed type 2 diabetes. All markers except height and hip index were positively associated with incident type 2 diabetes. The strongest associations were found for WHtR (hazard ratio per 1-SD increment: 2.27 [95% CI 2.19–2.35] in women; 1.96 [95% CI 1.90–2.01] in men). Compared with BMI, WHtR and anthropometric risk index had significantly better type 2 diabetes risk discrimination.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Although most adiposity markers were associated with type 2 diabetes, the magnitude of the associations differed. WHtR had the strongest associations and predictive ability for type 2 diabetes and thus could be a more suitable marker for clinical use.</p>\n </section>\n </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"31 10","pages":"2648-2657"},"PeriodicalIF":4.2000,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.23849","citationCount":"0","resultStr":"{\"title\":\"Associations and predictive performance of 11 anthropometric measures with incident type 2 diabetes: A prospective cohort study from the UK Biobank\",\"authors\":\"Jirapitcha Boonpor, Solange Parra-Soto, Atefeh Talebi, Ziyi Zhou, Fernanda Carrasco-Marin, Fanny Petermann-Rocha, Paul Welsh, Jill P. Pell, Naveed Sattar, Jason M. R. Gill, Stuart R. Gray, Carlos Celis-Morales, Frederick K. Ho\",\"doi\":\"10.1002/oby.23849\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>The study aim was to investigate associations of 11 anthropometric measures with incident type 2 diabetes and compare their predictive performance.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This prospective cohort study included 161,127 White European UK Biobank participants who were free of diabetes at baseline. Anthropometric measures included height, weight, BMI, A Body Shape Index, waist circumference, waist to hip ratio, waist to height ratio (WHtR), hip circumference, visceral adiposity index, hip index, and anthropometric risk index. The associations were examined using Cox proportional hazard models. The differences in C-index were used to compare predictive performance between BMI and other anthropometric measures.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The median follow-up was 10.0 (interquartile range: 9.3–10.8) years, during which 6315 participants developed type 2 diabetes. All markers except height and hip index were positively associated with incident type 2 diabetes. The strongest associations were found for WHtR (hazard ratio per 1-SD increment: 2.27 [95% CI 2.19–2.35] in women; 1.96 [95% CI 1.90–2.01] in men). Compared with BMI, WHtR and anthropometric risk index had significantly better type 2 diabetes risk discrimination.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Although most adiposity markers were associated with type 2 diabetes, the magnitude of the associations differed. WHtR had the strongest associations and predictive ability for type 2 diabetes and thus could be a more suitable marker for clinical use.</p>\\n </section>\\n </div>\",\"PeriodicalId\":215,\"journal\":{\"name\":\"Obesity\",\"volume\":\"31 10\",\"pages\":\"2648-2657\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2023-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.23849\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Obesity\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/oby.23849\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Obesity","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/oby.23849","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
摘要
目的探讨11项人体测量指标与2型糖尿病发病的关系，并比较其预测效果。方法:本前瞻性队列研究纳入161127名基线时无糖尿病的白种欧洲英国生物银行参与者。人体测量指标包括身高、体重、BMI、A体型指数、腰围、腰臀比、腰高比(WHtR)、臀围、内脏脂肪指数、臀部指数和人体测量风险指数。使用Cox比例风险模型检验相关性。c指数的差异被用来比较BMI和其他人体测量指标之间的预测性能。结果中位随访时间为10.0年(四分位数范围:9.3-10.8)，期间有6315名参与者患2型糖尿病。除身高和髋关节指数外，所有指标均与2型糖尿病的发生呈正相关。女性WHtR的相关性最强(每1-SD增量的风险比:2.27 [95% CI 2.19-2.35];男性为1.96 [95% CI 1.90-2.01])。与BMI相比，WHtR和人体测量风险指数具有更好的2型糖尿病风险判别。结论:虽然大多数肥胖标志物与2型糖尿病相关，但相关性的程度不同。WHtR与2型糖尿病的相关性和预测能力最强，因此可能是更适合临床使用的指标。
Associations and predictive performance of 11 anthropometric measures with incident type 2 diabetes: A prospective cohort study from the UK Biobank
Objective
The study aim was to investigate associations of 11 anthropometric measures with incident type 2 diabetes and compare their predictive performance.
Methods
This prospective cohort study included 161,127 White European UK Biobank participants who were free of diabetes at baseline. Anthropometric measures included height, weight, BMI, A Body Shape Index, waist circumference, waist to hip ratio, waist to height ratio (WHtR), hip circumference, visceral adiposity index, hip index, and anthropometric risk index. The associations were examined using Cox proportional hazard models. The differences in C-index were used to compare predictive performance between BMI and other anthropometric measures.
Results
The median follow-up was 10.0 (interquartile range: 9.3–10.8) years, during which 6315 participants developed type 2 diabetes. All markers except height and hip index were positively associated with incident type 2 diabetes. The strongest associations were found for WHtR (hazard ratio per 1-SD increment: 2.27 [95% CI 2.19–2.35] in women; 1.96 [95% CI 1.90–2.01] in men). Compared with BMI, WHtR and anthropometric risk index had significantly better type 2 diabetes risk discrimination.
Conclusions
Although most adiposity markers were associated with type 2 diabetes, the magnitude of the associations differed. WHtR had the strongest associations and predictive ability for type 2 diabetes and thus could be a more suitable marker for clinical use.
期刊介绍：
Obesity is the official journal of The Obesity Society and is the premier source of information for increasing knowledge, fostering translational research from basic to population science, and promoting better treatment for people with obesity. Obesity publishes important peer-reviewed research and cutting-edge reviews, commentaries, and public health and medical developments.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
