Background Obesity is associated with type 2 diabetes mellitus (T2DM). However, the obesity index that is most closely related to type 2 diabetes remains controversial. Therefore, the aim of this study was to compare the associations of five anthropometric indices (body mass index [BMI], body adiposity index, waist circumference [WC], waist-to-hip ratio, and waist-to-height ratio [WHtR]) with T2DM among Chinese adults divided into four groups according to sex and age. Methods A total of 4007 adult participants (1669 men and 2338 women) were included in the study. Odds ratios (ORs) and 95% confidence intervals were used with binary logistic regression models to estimate the risk of T2DM for each obesity index. Furthermore, we compared the area under the receiver operating characteristic curve (AUC) of each obesity index for the criterion of T2DM under the influence of risk factors. Results WC had the highest OR (3.211 and 1.452) and AUC (0.783 and 0.614) in both age groups of men. However, WHtR (OR = 2.366, AUC = 0.771) and BMI (OR = 1.596, AUC = 0.647) were the optimal criteria for predicting T2DM among females in the 18–59 and ≥ 60 years age groups, respectively. Conclusions This study suggests that there is a positive association between obesity-related anthropometric indices and T2DM in different sex and age groups. WC appears to be the optimal anthropometric index for predicting T2DM in men. The optimal obesity indices related to T2DM were WHtR and BMI for women aged 18–59 and ≥ 60 years, respectively.
Background: Obesity is associated with type 2 diabetes mellitus (T2DM), but the obesity index most closely related to type 2 diabetes is still controversial. Therefore, the aim of this study was to compare the associations of five anthropometric indices (body mass index (BMI), body adiposity index (BAI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR)) with Type 2 diabetes mellitus (T2DM) among Chinese adults divided into four groups according to sex and age.Methods: A total of 4,007 adult participants (1,669 males and 2,338 females) were included. Odds ratios (OR) and 95% confidence intervals were used with binary logistic regression models to estimate the risk of T2DM for each obesity index. Furthermore, we compared the area under the ROC curve (AUC) of each obesity index for the criterion of hypertension under the influence of risk factors. Results: For the males, WC had the highest value of OR (3.211 and 1.452) and AUC (0.783 and 0.614) in both age groups. However, WHtR (OR=2.366, AUC=0.771) and BMI (OR=1.596, AUC=0.647) tended to be the best criteria for T2DM among females in the 18-59 and ≥60 years age groups, respectively.Conclusions: This study suggests that there is a positive association of obesity-related anthropometric indices with T2DM in different sex and age groups. For males, WC appears to be the best anthropometric index for predicting T2DM. For 18-59 and ≥60 age women, the best obesity indices related with T2DM are WHtR and BMI, respectively.
Purpose: To construct and evaluate a simple scoring scale for predicting the risk of diabetic retinopathy (DR).Methods: Based on the chronic disease management database of Yancheng City, Jiangsu Province, China, 1896 diagnosed patients over the age of 50 with diabetes were randomly selected and subjected to the self-designed epidemiological questionnaire survey and ocular clinical examination. Single-factor and multi-factor logistic regression analysis was used to screen the relevant influencing factors of DR and then according to the reference value principle, the weights were assigned, and a simple scoring scale was constructed. A receiver operating characteristic curve (ROC) was developed and the accuracy and validity of the simple scale were evaluated.Results: The DR detection rate was 34.8 %. Multivariate analysis showed that family history of diabetes (odds ratio [OR]: 1.322, 95 % confidence interval [CI]: 1.012-1.727), diabetes treatment method (OR: 2.074, 95 % CI: 1.696-2.537), diabetes duration (OR: 1.113, 95 % CI: 1.089-1.138), and hemoglobin (Hb)A1c (OR: 1.276, 95 % CI: 1.099-1.482) were independent DR risk factors. After excluding confounding factors and based on the β coefficient of the multivariate logistic analysis, the scale had a maximum score of 12 points. The area under the receiver operating characteristic curve was 0.753, the cut-off value was 4, the sensitivity was 66.5 %, and the coincidence rate was 70.9 %. To improve sensitivity, the cut-off value was lowered to 3; the sensitivity was 79.7 %, and the coincidence rate was 65.0 %.Conclusion: The simple scale had good sensitivity and the ability to identify DR patients.
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