BMI, WC, WHtR, VFI and BFI: Which Indictor is the Most Efficient Screening Index on Type 2 Diabetes in Chinese Community Population

Objective Obesity is a major risk factor for type 2 diabetes, many indexes can be used to describes obesity and predict diabetes. This research attempts to identify the best indicator of obesity to screening diabetes in Chinese population. Methods A cross-sectional data of 8121 subjects aged 35-60 years were included in this research belongs to the Diabetes Appropriate Technology Intervention Study. Anthropometric indicators including body weight, height, waist circumferences （WC）, body fat index （BFI） and visceral fat index （VFI） and blood biochemical indicators after an overnight fast [fasting blood glucose, total cholesterol, high-density lipoprotein （HDL） cholesterol, and triacylglycerol] were measured. BMI （body mass index） and Weight to Height Ratio was calculated. Results Subjects with obesity had a higher risk of physician diagnosed diabetes （0R=2.50, 95% CI 1.83-3.43）, new diagnosed diabetes （0R=4.23, 95% Cl 2.91-6.15） and pre-diabetes （0R=1.75, 95% CI 1.31-2.34） compared to those with normal Body mass index （BMI）. There was a significant trend of increased risk of all diabetes status with increased waist circumference （WC）. The waist-to-height ratio （WHtR） yielded the most significant association with new diagnosed diabetes and physician diagnosed diabetes than other indices. Conclusion Central obesity is significantly correlated with diabetes. VFI was most correlated with pre-diabetes while WHtR is an efficient screening index than BMI and WC in Chinese community diabetes screening.

Inaccuracy of Self-reported Low Sodium Diet among Chinese: Findings from Baseline Survey for Shandong & Ministry of Health Action on Salt and Hypertension(SMASH) Project

This study was aimed to evaluate the agreement between the self-reported sodium intake level and 24-h urine sodium excretion level in Chinese. The 24-h urine collection was conducted among 2112 adults aged 18-69 years randomly selected in Shandong Province, China. The subjects were asked whether their sodium intake was low, moderate, or high. The weighted kappa statistics was calculated to assess the agreement between 24-h urine sodium excretion level and self-reported sodium intake level. One third of the subjects reported low sodium intake level. About 70% of the subjects had mean 24-h sodium excretion 〉9 g/d, but reported low or moderate sodium intake.

Gender-specific Association of Sleep Duration with Body Mass Index,Waist Circumference,and Body Fat in Chinese Adults

Objective To examine the association between habitual sleep duration and obesity among Chinese adults. Methods The association of sleep duration and obesity was investigated among 7,094 community-dwelling Chinese adults. Sleep duration was self-reported. In this study, obesity was defined as follows： body mass index （BMI） ≥ 28 kg/m^2, waist circumference （WC） ≥ 85 cm in men and ≥ 80 cm in women, and percent body fat （%BF） ≥ 25 in men and ≥ 35 in women. Logistic and quantile regressions were employed to examine relationships of interest. Results Overall, 6.42% of the participants reported short sleep durations （〈 6 h/d） while 14.71% reported long （≥ 9 h/d） sleep durations. Long sleepers （≥ 9 h/d） represented a greater frequency of women with obesity [odds ratio （OR）： 1.30; 95% confidence interval （CI）, 1.02-1.67] and high body fat （1.43, 1.04-1.96） than those who slept 7-8 h/d. An association between long sleep times and higher BMI estimations was found across the 10th-75th percentile of the BMI distribution. Among men, long sleepers （≥ 9 h/d） presented lower risks of developing abdominal obesity compared with individuals who slept 7-8 h/d （OR = 0.79, 95% CI： 0.44-0.99）. Conclusion Our study suggests that long sleep durations are associated with general obesity in Chinese women but reduced waist circumferences in men. Confirmatory studies are needed to determine the heterogeneous association of sleep time and obesity by gender.

Negative Association of Domestic Activity and Active Commuting with Metabolic Syndrome in a Chinese Population Aged 35-64 Years

Objective To understand the associations of physical activity domains with metabolic syndrome among a middle-aged Chinese population. Methods In all, 3326 professional adults aged 35-64 years from Beijing and Zhejiang province were recruited with a cluster random sampling method. The Global Physical Activity Questionnaire was modified, and the recommended Asia-Pacific cut-offs of waist circumstance were introduced into the criteria for metabolic syndrome from the Adult Treatment Panel III. A binary logistic regression model was applied to examine the association of all physical activity domains with the risk of the syndrome. Results Participants who engaged in domestic activity for 〉1176 MET-min/week had a 41.6% less chance of having metabolic syndrome [odds ratio （OR）, 0.584; 95% confidence interval （CI）, 0.480-0.710] than those without this activity. In adjusted models, adults who actively commuted for 〉33 MET-rain/week but 〈52g MET-min/week had a 25% less chance of having the syndrome （OR, 0.750; 95% CI, 0.582-0.966） than those who did not. No interaction was detected between the two domains of activity and the syndrome. Conclusion This study highlighted the independently negative association of traffic and house activity with the prevalence of the syndrome in this sample with a generally low level of moderate activity.

Dietary Sodium Intake and Its Impact Factors in Adults of Shandong Province

Dietary sodium intake and its impact factors in 2 140 adults aged 18-69 years were analyzed. The mean daily sodium intake was 5 745.0 （5 427.6- 6 062.5） mg per day, which was higher in males than in females （P〈0.01）. After having been adjusted for gender, age and urban/city areas, the mean daily sodium intake was significantly higher in participants with a lower education level, drinkers and smokers than in those with a higher education level, nondrinkers and nonsmokers （P〈O.01）. The dietary sodium intake in adults of Shandong Province is higher than the recommended standards.