Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China
Backgrounds. The prevalence of diabetes has increased with the increase of obesity, and finding indicators to predict diabetes risk has become an urgent need. The purpose of this study is to compare the correlation between four anthropometric indices and the prevalence of diabetes. Methods. A total...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Diabetes Research |
| Online Access: | http://dx.doi.org/10.1155/2021/8812431 |
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| author | Fu-Liang Zhang Jia-Xin Ren Peng Zhang Hang Jin Yang Qu Yao Yu Zhen-Ni Guo Yi Yang |
| author_facet | Fu-Liang Zhang Jia-Xin Ren Peng Zhang Hang Jin Yang Qu Yao Yu Zhen-Ni Guo Yi Yang |
| author_sort | Fu-Liang Zhang |
| collection | DOAJ |
| description | Backgrounds. The prevalence of diabetes has increased with the increase of obesity, and finding indicators to predict diabetes risk has become an urgent need. The purpose of this study is to compare the correlation between four anthropometric indices and the prevalence of diabetes. Methods. A total of 4052 participants aged 40 years and above were selected in Dehui City, Jilin Province, using a multistage stratified whole group sampling method. Face-to-face interviews and physical examinations were conducted. Multivariate logistic analysis was used. The values of BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were divided into quartiles (Q1: <25%; Q2: ~25%; Q3: ~50%; and Q4: ~75%). The median of each quartile was used for a linear trend test. Results. For all four body fat-measuring indices of body mass index (adjusted OR: 3.300, 95% CI: 2.370, 4.595), WC (adjusted OR: 5.131, 95% CI: 3.433, 7.669), WHR (adjusted OR: 3.327, 95% CI: 2.386, 4.638), and WHtR (adjusted OR: 5.959, 95% CI: 3.922, 9.054), patients in the highest quartile were more likely to have diabetes than those in the lowest quartile. The areas under the curve of WHtR, WC, WHR, and BMI for diabetes were 0.683, 0.669, 0.654, and 0.629, respectively. In female participants, the areas under the curve of the waist-height ratio and WC were 0.710 (95% CI: 0.679-0.741) and 0.701 (95% CI: 0.670-0.732), respectively. Conclusions. The WC and WHtR were more closely related to diabetes than BMI and WHR among study participants≥40 years of age, especially in females. |
| format | Article |
| id | doaj-art-6c336ef565ca4da9bac6472f1c92dce8 |
| institution | Kabale University |
| issn | 2314-6745 2314-6753 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Diabetes Research |
| spelling | doaj-art-6c336ef565ca4da9bac6472f1c92dce82025-08-20T03:34:12ZengWileyJournal of Diabetes Research2314-67452314-67532021-01-01202110.1155/2021/88124318812431Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, ChinaFu-Liang Zhang0Jia-Xin Ren1Peng Zhang2Hang Jin3Yang Qu4Yao Yu5Zhen-Ni Guo6Yi Yang7China National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, ChinaChina National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, ChinaClinical Trial and Research Center for Stroke, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, ChinaChina National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, ChinaChina National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, ChinaChina National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, ChinaChina National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, ChinaChina National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, ChinaBackgrounds. The prevalence of diabetes has increased with the increase of obesity, and finding indicators to predict diabetes risk has become an urgent need. The purpose of this study is to compare the correlation between four anthropometric indices and the prevalence of diabetes. Methods. A total of 4052 participants aged 40 years and above were selected in Dehui City, Jilin Province, using a multistage stratified whole group sampling method. Face-to-face interviews and physical examinations were conducted. Multivariate logistic analysis was used. The values of BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were divided into quartiles (Q1: <25%; Q2: ~25%; Q3: ~50%; and Q4: ~75%). The median of each quartile was used for a linear trend test. Results. For all four body fat-measuring indices of body mass index (adjusted OR: 3.300, 95% CI: 2.370, 4.595), WC (adjusted OR: 5.131, 95% CI: 3.433, 7.669), WHR (adjusted OR: 3.327, 95% CI: 2.386, 4.638), and WHtR (adjusted OR: 5.959, 95% CI: 3.922, 9.054), patients in the highest quartile were more likely to have diabetes than those in the lowest quartile. The areas under the curve of WHtR, WC, WHR, and BMI for diabetes were 0.683, 0.669, 0.654, and 0.629, respectively. In female participants, the areas under the curve of the waist-height ratio and WC were 0.710 (95% CI: 0.679-0.741) and 0.701 (95% CI: 0.670-0.732), respectively. Conclusions. The WC and WHtR were more closely related to diabetes than BMI and WHR among study participants≥40 years of age, especially in females.http://dx.doi.org/10.1155/2021/8812431 |
| spellingShingle | Fu-Liang Zhang Jia-Xin Ren Peng Zhang Hang Jin Yang Qu Yao Yu Zhen-Ni Guo Yi Yang Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China Journal of Diabetes Research |
| title | Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China |
| title_full | Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China |
| title_fullStr | Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China |
| title_full_unstemmed | Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China |
| title_short | Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China |
| title_sort | strong association of waist circumference wc body mass index bmi waist to height ratio whtr and waist to hip ratio whr with diabetes a population based cross sectional study in jilin province china |
| url | http://dx.doi.org/10.1155/2021/8812431 |
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