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Abstract: Aims/Introduction: Recently, a new anthropometric parameter (a new hip index [HI]) was developed, and the HI shows a U‐shaped relationship to mortality in the USA population. It is well known that there is an inverse relationship between hip circumference (HC) and the risk of diabetes mellitus. Accordingly, the study sought to investigate whether HI could predict future diabetes mellitus, as compared with HC and the waist‐to‐hip ratio (WHR), in a general Chinese population. Materials and Methods: In 2007, we carried out a health examination of 687 participants (mean age 48.1 ± 6.2 years, male 58.1%). Development of diabetes mellitus by the 2007 examination was studied in relation to data from a baseline health examination carried out in 1992. Results: During the follow up, 74 participants were diagnosed with diabetes mellitus. Across the quintiles of baseline HI, the incidence rates of diabetes mellitus were 12.4, 12.4, 9.9, 7.8 and 11.3% in quintile (Q)1, Q2, Q3, Q4 and Q5, respectively (P = 0.698). With the lowest quintile (Q1) as reference, univariate and multivariate Cox regression analyses showed that HI was not associated with diabetes mellitus. In contrast, HC and WHR could predict future diabetes mellitus. Furthermore, WHR had the best discriminatory power for diabetes mellitus (area under the receiver operating characteristic curve 0.691, 95% confidence interval 0.621–0.761), followed by HC (area under the receiver operating characteristic curve 0.623, 95% confidence interval 0.558–0.689) and HI (area under the receiver operating characteristic curve 0.464, 95% confidence interval 0.396–0.531). Conclusions: Compared with HC and WHR, HI was not an independent risk factor for diabetes mellitus in the Chinese population. More studies are required to delineate the limits of the utility of HI. [ABSTRACT FROM AUTHOR]

Abstract: Background: Obesity in adulthood is associated with increased risk for diabetes mellitus (DM). It is uncertain whether this risk is attenuated in adulthood who are overweight or obese initially but not obese subsequently. Methods and results: The data were collected in 1992 and then again in 2007 from the same group of 687 participants (male: 58.1%, age: 48.1±6.2years).The participants were categorized into four groups on the basis of adiposity status in 1992 and 2007: group I included subjects with a normal BMI in 1992 and 2007; group II, those with a normal BMI in 1992 who were overweight or obese in 2007; group III, those who were overweight or obese in 1992 but normal BMI in 2007; and group IV, those who were overweight or obese in 1992 and 2007. With group I as reference, the HR is 0.818 for group II (95% CI: 0.341–1.962, p =0.653), 2.231 for group III (95% CI: 1.087–4.579, p =0.029) and 1.855 for group IV (95% CI: 1.049–3.279, p =0.034) after adjustment for confounders. It was not significantly different between groups I and II, as well as between groups III and IV. Conclusion: In adulthood, becoming nonobese could not reverse the adverse effects of obesity on DM, as compared with the subjects who persist being overweight or obese. Keeping weight in the normal BMI range should be emphasized in the public for preventing DM. [Copyright &y& Elsevier]

Abstract: The study aimed to assess the validity of some recently published diabetes risk scoring models in a general Chinese population. In 2007, there was a re-examination of 711 individuals who were originally examined in 1992. Since 24 individuals had diabetes in 1992, 687 individuals were available for analysis. Validity was assessed with area under the receiver operating characteristic curve (AROC), and we assessed seven prospective and four cross-sectional models. When applied to our population, AROCs tended to be higher in Asian models than in non-Asian models (average AROCs 0.694±0.034 vs. 0.667±0.040, p =0.258), and those tended to be higher in prospective models than in cross-sectional models (average AROCs 0.695±0.028 vs. 0.652±0.042, p =0.072). A prospective model from Taiwan performed best (AROC 0.749; 95% CI 0.691–0.807). In conclusion, diabetes risk scoring models could not always be generalized from one population to another before validation. Asian models might be more suitable for Asian populations than non-Asian models, and prospective models might be more suitable for predicting future diabetes than cross-sectional models. When applied to our population, a prospective model from Taiwan performed best, and widespread application might be considered in the population. [Copyright &y& Elsevier]