The incidence of diabetes mellitus is rising worldwide, and prediabetic screening for insulin resistance (IR) has become ever more essential. This study aimed to investigate whether body mass index (BMI), waist circumference (WC), or body fat percentage (BF%) could be a better predictor of IR in a middle-aged and elderly population. In this cross-sectional, community-based study, 394 individuals (97 with IR and 297 without IR) were enrolled in the analysis. IR was measured by homeostasis model assessment (HOMA-IR), and subjects with HOMA-IR value ≧75th percentile were defined as being IR. Associations between IR and BMI, WC and BF% were evaluated by t test, chi square, Pearson correlation, logistic regression, and receiver operating characteristic (ROC) curves. A total of 394 community-dwelling, middle-aged, and elderly persons were enrolled; 138 (35%) were male, and 256 were female (65%). The mean age was 64.41 ± 8.46 years. A significant association was identified between BMI, WC, BF%, and IR, with Pearson correlation coefficients of 0.437 (P < .001), 0.412 (P < .001), and 0.361 (P < .001), respectively. Multivariate logistic regression revealed BMI (OR = 1.31; 95% CI = 1.20–1.42), WC (OR = 1.13; 95% CI = 1.08–1.17), and BF% (OR = 1.17; 95% CI = 1.11–1.23) to be independent predictors of IR. The area under curves of BMI and WC, 0.749 and 0.745 respectively, are greater than that of BF% 0.687. BMI and WC were more strongly associated with IR than was BF%. Excess body weight and body fat distribution were more important than total body fat in predicting IR.

Context: The mechanism of nickel-induced pathogenesis remains elusive. Objective: To examine effects of nickel exposure on plasma oxidative and anti-oxidative biomarkers. Materials and methods: Biomarker data were collected from 154 workers with various levels of nickel exposure and from 73 controls. Correlations between nickel exposure and oxidative and anti-oxidative biomarkers were determined using linear regression models. Results: Workers with a exposure to high nickel levels had significantly lower levels of anti-oxidants (glutathione and catalase) than those with a lower exposure to nickel; however, only glutathione showed an independent association after multivariable adjustment. Discussion and conclusion: Exposure to high levels of nickel may reduce serum anti-oxidative capacity.

Objective: Although obesity is associated with an increased risk of chronic kidney disease, this trend becomes nonsignificant following adjustment for cardiovascular risk factors. The present study aims to investigate whether visceral obesity is independently associated with renal function impairment. Method: The medical records of 14,529 male and 10,561 female Chinese adults undergoing health check-ups during 2013–2015 were retrospectively collected. The baseline characteristics, including the degree of visceral fat and the percentage of body fat, were compared. The association between study groups and renal function impairment was investigated using regression models adjusted for confounding factors. Results: All variables differed significantly among non-obese, peripheral, and central type obese subjects, both younger and older, and of both genders, except for hsCRP in older male subjects (p = 0.053) and eGFR in older female subjects (p = 0.098). Unadjusted univariate analysis showed that central obesity contributed significantly to renal function impairment in all age groups and in both genders. After adjusting for possible confounding factors, only central obesity was found to be an independent factor of renal function impairment in all groups, except for men under 45 years of age. Conclusion: Visceral obesity is independently associated with renal function impairment in all ages and both genders, except for males younger than 45 years.

Objective Obesity and hypertension (HTN) have become increasingly prevalent in Taiwan. People with obesity are more likely to have HTN. In this study, we evaluated several anthropometric measurements for the prediction of HTN in middle-aged and elderly populations in Taiwan. Design Cross-sectional observational study. Setting Community-based investigation in Guishan Township of northern Taiwan. Participants A total of 396 people were recruited from a northern Taiwan community for a cross-sectional study. Anthropometrics and blood pressure were measured at the annual health exam. The obesity indices included body mass index (BMI), body fat (BF) percentage and waist circumference (WC). Outcome measures Statistical analyses, including Pearson’s correlation, multiple logistic regression and the area under ROC curves (AUCs) between HTN and anthropometric measurements, were used in this study. Results Of the 396 people recruited, 200 had HTN. The age-adjusted Pearson’s coefficients of BMI, BF percentage and WC were 0.23 (p<0.001), 0.14 (p=0.01) and 0.26 (p<0.001), respectively. Multiple logistic regression of the HTN-related obesity indices showed that the ORs of BMI, BF percentage and WC were 1.15 (95% CI 1.08 to 1.23, p<0.001), 1.07 (95% CI 1.03 to 1.11, p<0.001) and 1.06 (95% CI 1.03 to 1.08, p<0.001), respectively. The AUCs of BMI, BF percentage and WC were 0.626 (95% CI 0.572 to 0.681, p<0.001), 0.556 (95% CI 0.500 to 0.613, p=0.052) and 0.640 (95% CI 0.586 to 0.694, p<0.001), respectively. Conclusions WC is a more reliable predictor of HTN than BMI or BF percentage. The effect of abdominal fat distribution on blood pressure is greater than that of total BF amount.

Background and aims: The aim was to investigate the relationships between visceral fat rating scale (VFR), waist circumference (WC), body mass index (BMI) and cardiovascular disease (CVD) risk. Methods: In this cross-sectional, community-based study, participants completed questionnaire that included personal and medical history, and underwent anthropometric measurement and blood sampling. The 2008 general CVD risk model was used to predict CVD risk. Associations between CVD risk and VFR, WC, BMI were evaluated by means of analysis of covariance (ANCOVA) with gender as covariate, Chi-squared test, Pearson's correlation, Cochran-Armitage test, multivariate logistic regression and receiver operating characteristic curves. Results: A total of 377 people were enrolled. A significant association was identified between VFR, WC, BMI, and CVD risk, with coefficient of determination (r(2)) of 0.32 (p < 0.001), 0.18 (p < 0.001) and 0.03 (p = 0.001), respectively. There was a trend toward increasing prevalence of high CVD risk as VFR, WC, and BMI increased (all p values < 0.05). Multivariate logistic regression revealed VFR (OR = 1.21; 95%CI = 1.02-1.24), WC (OR = 1.07; 95%CI = 1.04-1.11) and BMI (OR = 1.11; 95%CI = 1.02-1.21) to be independent predictors of high CVD risk. In male, the area under curves of VFR and WC are greater than BMI: 0.641, 0.647 and 0.562. In female, the area under curves of VFR and WC are also greater than BMI: 0.656, 0.688 and 0.601. Conclusions: VFR and WC were more strongly associated with high CVD risk than BMI among middle-aged and elderly persons in Taiwan.