Association between new obesity index, weight adjusted waist circumference index, and type 2 diabetes

Abstract Background Obesity is a well-established risk factor for T2DM, and various obesity-related indices have been developed to assess the relationship between obesity and the disease. Traditional indices such as body mass index (BMI) have certain limitations in accurately predicting the risk of T2DM. Therefore, exploring new obesity indices is of great importance for the early prevention and management of T2DM. This study aims to investigate the association between the new obesity index, weight–adjusted waist circumference index, and type 2 diabetes. Objective The Weight-adjusted Waist Index (WWI) is a novel obesity assessment indicator. The purpose of this study is to explore the correlation between WWI and type 2 diabetes mellitus (T2DM). Methods This study is a cross-sectional study, using the community diabetes screening data from the Yichuan Street Community Health Service Center in 2023, to conduct a multivariate regression analysis and linear fitting curve analysis on 747 participants. Data collection was carried out through standardized questionnaires and physical examinations. All the subjects were divided into 4 groups according to the quartiles of WWI. The general information and clinical characteristics of the four groups of research subjects were compared. The linear relationship between WWI and T2DM was analyzed by using the linear fitting curve. The association between the WWI of patients and the risk of developing type 2 diabetic nephropathy was analyzed via logistic regression. Results After fully adjusting for confounding factors, WWI was associated with an increased risk of T2DM.The linear fitting curve showed a non-linear positive correlation between WWI and T2DM. When WWI is greater than 10.4 cm/√kg, the incidence of T2DM will greatly increase. The result of multivariate logistic regression analysis suggested that an increase in WWI was significantly associated with an elevated risk of T2DM (OR = 1.736, 95% CI: 1.203–2.584), with a significant interaction effect ( p = 0.004). Conclusion WWI is positively correlated with T2DM, and this study shows that WWI plays an important role in the prevention and management of T2DM.

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Journal
International Journal of Diabetes in Developing Countries
Published
2025-12-22
DOI
https://doi.org/10.1007/s13410-025-01604-9
Citations
1
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
1.43
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article

Association between new obesity index, weight adjusted waist circumference index, and type 2 diabetes

Su-wen Wang, Yu-Xiang Zheng, Y Chen, Haidong Kuang et al.
1 citations
International Journal of Diabetes in Developing Countries
Chronic Kidney Disease and Diabetes
1.43
article

Association between new obesity index, weight adjusted waist circumference index, and type 2 diabetes

Su-wen Wang, Yu-Xiang Zheng, Y Chen, Haidong Kuang, Yi-Kai Mi
article en
1 citations

Abstract

Abstract Background Obesity is a well-established risk factor for T2DM, and various obesity-related indices have been developed to assess the relationship between obesity and the disease. Traditional indices such as body mass index (BMI) have certain limitations in accurately predicting the risk of T2DM. Therefore, exploring new obesity indices is of great importance for the early prevention and management of T2DM. This study aims to investigate the association between the new obesity index, weight–adjusted waist circumference index, and type 2 diabetes. Objective The Weight-adjusted Waist Index (WWI) is a novel obesity assessment indicator. The purpose of this study is to explore the correlation between WWI and type 2 diabetes mellitus (T2DM). Methods This study is a cross-sectional study, using the community diabetes screening data from the Yichuan Street Community Health Service Center in 2023, to conduct a multivariate regression analysis and linear fitting curve analysis on 747 participants. Data collection was carried out through standardized questionnaires and physical examinations. All the subjects were divided into 4 groups according to the quartiles of WWI. The general information and clinical characteristics of the four groups of research subjects were compared. The linear relationship between WWI and T2DM was analyzed by using the linear fitting curve. The association between the WWI of patients and the risk of developing type 2 diabetic nephropathy was analyzed via logistic regression. Results After fully adjusting for confounding factors, WWI was associated with an increased risk of T2DM.The linear fitting curve showed a non-linear positive correlation between WWI and T2DM. When WWI is greater than 10.4 cm/√kg, the incidence of T2DM will greatly increase. The result of multivariate logistic regression analysis suggested that an increase in WWI was significantly associated with an elevated risk of T2DM (OR = 1.736, 95% CI: 1.203–2.584), with a significant interaction effect ( p = 0.004). Conclusion WWI is positively correlated with T2DM, and this study shows that WWI plays an important role in the prevention and management of T2DM.

International Journal of Diabetes in Developing Countries
Shihezi University (CN), Shanghai Hospital Development Center (CN), Community Health Center (US)
Good health and well-being
Openalex Percentile: Top 13%
Chronic Kidney Disease and Diabetes
1.43
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