VAI could independently predict DM in the Chinese study population, although the predictive power was not higher than that of simple anthropometric measures (BMI and WC). Our study does not support the clinical application of VAI; however, more studies based on different ethnic groups still need to be performed.

Aim To investigate whether conicity index, abdominal volume index, body adiposity index, body roundness index, cardiometabolic index and lipid accumulation product compared with waist circumference could predict future diabetes in a 15-year prospective study.Methods The data were collected in 1992 and recollected in 2007 from the same group of 687 individuals. Anthropometric indices and biochemical data were obtained. Cox's proportional hazards regression models were used to estimate the hazard ratios of anthropometric measures. The discriminatory power of anthropometric measures for incident diabetes were assessed by Harrell's C-statistic.Results During follow-up, 74 participants were newly diagnosed with diabetes. In multivariable Cox regression analysis after adjusting potential for confounders, log 10 -conicity index [HR: 1.67 (95% CI: 1.31-2.11) per SD; P < 0.0001], log 10 -abdominal volume index [HR: 1.95 (95% CI: 1.50-2.55) per SD; P < 0.0001], log 10 -body adiposity index [HR: 1.82 (95% CI: 1.33-2.50) per SD; P < 0.0001], log 10 -body roundness index [HR: 2.16 (95% CI: 1.63-2.88) per SD; P < 0.0001], log 10 -cardiometabolic index [HR: 1.70 (95% CI: 1.39-2.09) per SD; P < 0.0001], log 10 -lipid accumulation product [HR: 2.06 (95% CI: 1.56-2.73) per SD; P < 0.0001] and log 10 -waist circumference [HR: 1.99 (95% CI: 1.51-2.46) per SD; P < 0.0001] were significantly associated with incident diabetes. Additionally, lipid accumulation product had the highest Harrell's C-statistic at 0.715 (95% CI: 0.656-0.775), followed by body roundness index at 0.714 (95% CI: 0.658-0.770) and cardiometabolic index at 0.704 (95% CI: 0.643-0.764) then by waist circumference at 0.701 (95% CI: 0.644-0.759).Conclusions Conicity index, abdominal volume index, body adiposity index, body roundness index, cardiometabolic index and lipid accumulation product were independent predictors of future diabetes. The discriminatory power of body roundness index, cardiometabolic index and lipid accumulation product for diabetes prediction were higher than that of waist circumference.

The trends in semen quality are conflicting. Although many previous surveys on semen quality indicated a decline, the trends in semen quality in Sichuan area of south-west China are not clear. We analysed the semen parameters in a cohort of 28,213 adult males close to general population in Sichuan between July 2007 and June 2012, and investigated the changes on semen quality. The semen parameters including pH, volume, concentration, motility, morphology were measured according to the World Health Organization (WHO) criteria. Kruskal-Wallis analysis of variance was used to examine the statistical differences of semen quality between groups. We found that the medians (5th and 95th percentiles) were 2.4 ml (1.0-5.0) for semen volume, 62.0 × 10(6) ml(-1) (15.0-142.0) for semen concentration, 39% (18-60%) for sperm progressive motility and 10.5% (1.0-34.5%) for normal morphology. In these 5 years, sperm concentration and the percentage of sperm normal morphology were decreased from 66.0 × 10(6 ) ml(-1) to 49.0 × 10(6) ml(-1) and from 13.5% to 4.5%, respectively; among different reproductive history groups, sperm concentration and the percentage of sperm normal morphology were also decreased in these 5 years. And the incidence of azoospermia was increasing. These may imply that there is a decline in semen quality of adult males in Sichuan area.

No abstract