{"title":"作为补充预测指标的人体测量指数与 2 型糖尿病发病率之间的关系;松下队列研究 21。","authors":"Genki Kobayashi , Tomohiro Shinozaki , Hiroshi Okada , Hanako Nakajima , Yoshitaka Hashimoto , Masahide Hamaguchi , Kazushiro Kurogi , Hiroaki Murata , Naoki Yoshida , Masato Ito , Toshiaki Ohkuma , Go Horiguchi , Satoshi Teramukai , Michiaki Fukui","doi":"10.1016/j.diabres.2024.111888","DOIUrl":null,"url":null,"abstract":"<div><h3>Aims</h3><div>To compare the predictive abilities of body mass index (BMI), waist circumference (WC), waist-corrected BMI (wBMI), a body shape index (ABSI), and waist-to-height ratio (WHtR) for the incidence of type 2 diabetes and determine the practical cut-off values for the Japanese population.</div></div><div><h3>Methods</h3><div>This study used data from 155,623 participants who had medical checkups with Panasonic Corporation between 2008 and 2021. Predictive abilities of anthropometric indices were evaluated at 13 years using time-dependent receiver operating characteristic (ROC) curve analyses.</div></div><div><h3>Results</h3><div>8,800 developed type 2 diabetes during the study period. The area under the ROC curve for the WHtR was high (0.717, 95 % confidence interval [CI]: 0.710–0.724), with cut-off value of 0.497 in men, while those for wBMI (0.829, 95 % CI: 0.808–0.848) and WHtR (0.826, 95 % CI: 0.806–0.845) were high in women, with cut-off values of 18.6 kg/m and 0.510, respectively. It was also showed WHtR was the most effective in men, while WHtR and wBMI outperformed WC and were comparable to BMI in women for predicting type 2 diabetes.</div></div><div><h3>Conclusions</h3><div>WHtR demonstrated superior effectiveness in predicting type 2 diabetes in men, while both WHtR and wBMI showed higher effectiveness than WC and were almost equivalent to BMI in women.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"217 ","pages":"Article 111888"},"PeriodicalIF":6.1000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Associations between anthropometric indices as complementary predictors and incidence of type 2 diabetes; Panasonic Cohort Study 21\",\"authors\":\"Genki Kobayashi , Tomohiro Shinozaki , Hiroshi Okada , Hanako Nakajima , Yoshitaka Hashimoto , Masahide Hamaguchi , Kazushiro Kurogi , Hiroaki Murata , Naoki Yoshida , Masato Ito , Toshiaki Ohkuma , Go Horiguchi , Satoshi Teramukai , Michiaki Fukui\",\"doi\":\"10.1016/j.diabres.2024.111888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aims</h3><div>To compare the predictive abilities of body mass index (BMI), waist circumference (WC), waist-corrected BMI (wBMI), a body shape index (ABSI), and waist-to-height ratio (WHtR) for the incidence of type 2 diabetes and determine the practical cut-off values for the Japanese population.</div></div><div><h3>Methods</h3><div>This study used data from 155,623 participants who had medical checkups with Panasonic Corporation between 2008 and 2021. Predictive abilities of anthropometric indices were evaluated at 13 years using time-dependent receiver operating characteristic (ROC) curve analyses.</div></div><div><h3>Results</h3><div>8,800 developed type 2 diabetes during the study period. The area under the ROC curve for the WHtR was high (0.717, 95 % confidence interval [CI]: 0.710–0.724), with cut-off value of 0.497 in men, while those for wBMI (0.829, 95 % CI: 0.808–0.848) and WHtR (0.826, 95 % CI: 0.806–0.845) were high in women, with cut-off values of 18.6 kg/m and 0.510, respectively. It was also showed WHtR was the most effective in men, while WHtR and wBMI outperformed WC and were comparable to BMI in women for predicting type 2 diabetes.</div></div><div><h3>Conclusions</h3><div>WHtR demonstrated superior effectiveness in predicting type 2 diabetes in men, while both WHtR and wBMI showed higher effectiveness than WC and were almost equivalent to BMI in women.</div></div>\",\"PeriodicalId\":11249,\"journal\":{\"name\":\"Diabetes research and clinical practice\",\"volume\":\"217 \",\"pages\":\"Article 111888\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2024-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diabetes research and clinical practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168822724007988\",\"RegionNum\":3,\"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":"Diabetes research and clinical practice","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168822724007988","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Associations between anthropometric indices as complementary predictors and incidence of type 2 diabetes; Panasonic Cohort Study 21
Aims
To compare the predictive abilities of body mass index (BMI), waist circumference (WC), waist-corrected BMI (wBMI), a body shape index (ABSI), and waist-to-height ratio (WHtR) for the incidence of type 2 diabetes and determine the practical cut-off values for the Japanese population.
Methods
This study used data from 155,623 participants who had medical checkups with Panasonic Corporation between 2008 and 2021. Predictive abilities of anthropometric indices were evaluated at 13 years using time-dependent receiver operating characteristic (ROC) curve analyses.
Results
8,800 developed type 2 diabetes during the study period. The area under the ROC curve for the WHtR was high (0.717, 95 % confidence interval [CI]: 0.710–0.724), with cut-off value of 0.497 in men, while those for wBMI (0.829, 95 % CI: 0.808–0.848) and WHtR (0.826, 95 % CI: 0.806–0.845) were high in women, with cut-off values of 18.6 kg/m and 0.510, respectively. It was also showed WHtR was the most effective in men, while WHtR and wBMI outperformed WC and were comparable to BMI in women for predicting type 2 diabetes.
Conclusions
WHtR demonstrated superior effectiveness in predicting type 2 diabetes in men, while both WHtR and wBMI showed higher effectiveness than WC and were almost equivalent to BMI in women.
期刊介绍:
Diabetes Research and Clinical Practice is an international journal for health-care providers and clinically oriented researchers that publishes high-quality original research articles and expert reviews in diabetes and related areas. The role of the journal is to provide a venue for dissemination of knowledge and discussion of topics related to diabetes clinical research and patient care. Topics of focus include translational science, genetics, immunology, nutrition, psychosocial research, epidemiology, prevention, socio-economic research, complications, new treatments, technologies and therapy.