Ligia J. Dominguez , Carmen Sayón-Orea , Alfredo Gea , Estefania Toledo-Atucha , Maira Bes-Rastrollo , Mario Barbagallo , Miguel A. Martínez-González
{"title":"CUN-BAE脂肪指数预测2型糖尿病发病率:纳瓦拉大学前瞻性队列研究","authors":"Ligia J. Dominguez , Carmen Sayón-Orea , Alfredo Gea , Estefania Toledo-Atucha , Maira Bes-Rastrollo , Mario Barbagallo , Miguel A. Martínez-González","doi":"10.1016/j.jnha.2025.100545","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Obesity is currently a pandemic and a cardinal risk factor for incident diabetes, a parallel growing pandemic. Measures commonly used to define obesity, i.e., BMI and waist circumference, do not accurately reflect body fatness.</div></div><div><h3>Methods</h3><div>We examined the prognostic value of body fatness assessed with the ‘Clínica Universidad de Navarra-Body Adiposity Estimator’ (CUN-BAE, range: 18.4–65.0 %) in 18,594 participants of the \"Seguimiento Universidad de Navarra\" prospective longitudinal cohort (60.5% women) without diabetes at baseline. Participants were followed-up with biennial questionnaires and multivariable-adjusted Cox models were used to estimate incident diabetes.</div></div><div><h3>Results</h3><div>During 13.7 years of median follow-up, 209 participants developed diabetes. Progressively ascending quartiles of CUN-BAE were significantly associated with incident diabetes in multivariable-adjusted models, even after adjusting for BMI > 30 kg/m<sup>2</sup>. For each 2-unit increment in the CUN-BAE index, diabetes risk relatively increased by 46% in men and women (95% CI: 33%–62%). When comparing ROC AUC for CUN-BAE and BMI the association was stronger for CUN-BAE (p < 0.001).</div></div><div><h3>Conclusions</h3><div>CUN-BAE index, an easy equation that can be used in any clinical setting, predicted better the risk of incident diabetes compared to BMI. Our results emphasize the importance of reducing and maintaining a low adiposity in order to prevent diabetes.</div></div>","PeriodicalId":54778,"journal":{"name":"Journal of Nutrition Health & Aging","volume":"29 5","pages":"Article 100545"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CUN-BAE adiposity index prediction of incident type 2 diabetes: the Seguimiento Universidad de Navarra prospective cohort\",\"authors\":\"Ligia J. Dominguez , Carmen Sayón-Orea , Alfredo Gea , Estefania Toledo-Atucha , Maira Bes-Rastrollo , Mario Barbagallo , Miguel A. Martínez-González\",\"doi\":\"10.1016/j.jnha.2025.100545\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Obesity is currently a pandemic and a cardinal risk factor for incident diabetes, a parallel growing pandemic. Measures commonly used to define obesity, i.e., BMI and waist circumference, do not accurately reflect body fatness.</div></div><div><h3>Methods</h3><div>We examined the prognostic value of body fatness assessed with the ‘Clínica Universidad de Navarra-Body Adiposity Estimator’ (CUN-BAE, range: 18.4–65.0 %) in 18,594 participants of the \\\"Seguimiento Universidad de Navarra\\\" prospective longitudinal cohort (60.5% women) without diabetes at baseline. Participants were followed-up with biennial questionnaires and multivariable-adjusted Cox models were used to estimate incident diabetes.</div></div><div><h3>Results</h3><div>During 13.7 years of median follow-up, 209 participants developed diabetes. Progressively ascending quartiles of CUN-BAE were significantly associated with incident diabetes in multivariable-adjusted models, even after adjusting for BMI > 30 kg/m<sup>2</sup>. For each 2-unit increment in the CUN-BAE index, diabetes risk relatively increased by 46% in men and women (95% CI: 33%–62%). When comparing ROC AUC for CUN-BAE and BMI the association was stronger for CUN-BAE (p < 0.001).</div></div><div><h3>Conclusions</h3><div>CUN-BAE index, an easy equation that can be used in any clinical setting, predicted better the risk of incident diabetes compared to BMI. Our results emphasize the importance of reducing and maintaining a low adiposity in order to prevent diabetes.</div></div>\",\"PeriodicalId\":54778,\"journal\":{\"name\":\"Journal of Nutrition Health & Aging\",\"volume\":\"29 5\",\"pages\":\"Article 100545\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Nutrition Health & Aging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1279770725000697\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nutrition Health & Aging","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1279770725000697","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
CUN-BAE adiposity index prediction of incident type 2 diabetes: the Seguimiento Universidad de Navarra prospective cohort
Background
Obesity is currently a pandemic and a cardinal risk factor for incident diabetes, a parallel growing pandemic. Measures commonly used to define obesity, i.e., BMI and waist circumference, do not accurately reflect body fatness.
Methods
We examined the prognostic value of body fatness assessed with the ‘Clínica Universidad de Navarra-Body Adiposity Estimator’ (CUN-BAE, range: 18.4–65.0 %) in 18,594 participants of the "Seguimiento Universidad de Navarra" prospective longitudinal cohort (60.5% women) without diabetes at baseline. Participants were followed-up with biennial questionnaires and multivariable-adjusted Cox models were used to estimate incident diabetes.
Results
During 13.7 years of median follow-up, 209 participants developed diabetes. Progressively ascending quartiles of CUN-BAE were significantly associated with incident diabetes in multivariable-adjusted models, even after adjusting for BMI > 30 kg/m2. For each 2-unit increment in the CUN-BAE index, diabetes risk relatively increased by 46% in men and women (95% CI: 33%–62%). When comparing ROC AUC for CUN-BAE and BMI the association was stronger for CUN-BAE (p < 0.001).
Conclusions
CUN-BAE index, an easy equation that can be used in any clinical setting, predicted better the risk of incident diabetes compared to BMI. Our results emphasize the importance of reducing and maintaining a low adiposity in order to prevent diabetes.
期刊介绍:
There is increasing scientific and clinical interest in the interactions of nutrition and health as part of the aging process. This interest is due to the important role that nutrition plays throughout the life span. This role affects the growth and development of the body during childhood, affects the risk of acute and chronic diseases, the maintenance of physiological processes and the biological process of aging. A major aim of "The Journal of Nutrition, Health & Aging" is to contribute to the improvement of knowledge regarding the relationships between nutrition and the aging process from birth to old age.