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ObjectiveTo explore the correlation between skeletal muscle mass and metabolic syndrome （MS） disease risk among middle-aged and elderly community residents in Urumqi， and to provide a theoretical basis for understanding the relationship between skeletal muscle mass and MS among middle-aged and elderly community residents in China.MethodsA total of 1 438 community residents ≥ 50 years old were selected as the research subjects from July 2018 to January 2019 in Urumqi. They were selected from a multi-ethnic natural population cohort in Xinjiang. Data were collected through questionnaires， physical examination， bioelectrical impedance analysis （BIA）， laboratory tests， etc. Skeletal muscle mass was evaluated using the limb skeletal muscle mass index （SMI） corrected for body weight； MS was defined as it at least includes three of the following： abdominal obesity， hypertension， hyperglycemia， high triglycerides and low high-density lipoprotein cholesterol. SMI was divided into four quantile arrays of Q1‒Q4. Trend χ2 test was applied to explore whether there was a correlation between SMI changes and MS. A multivariate logistic regression model was used to analyze whether there is a difference in the risk of MS between the higher SMI group （Q2， Q3， Q4） and the reference group Q1.ResultA total of 560 MS patients were detected in this study， with a prevalence rate of 38.94%. Among them， the prevalence rate of MS was 39.16% in males and 38.80% in females. The increase in male SMI grading level is not correlated with the prevalence of MS （trend P>0.05）； After adjusting for confounding factors （model 4）， the increase in SMI was still not related to the prevalence of MS （Ptrend=0.995）. There was no statistical difference in the risk of MS between the lowest quartile group Q1 and the highest quartile group Q4 （OR=1.01， 95%CI： 0.69‒1.78）. The prevalence of MS in women gradually decreased with the increase of SMI grading level （Ptrend

Objective: To investigate whether trajectory model can be used to explore the trend of anal human papillomavirus (HPV) infection status among HIV-negative men who have sex with men (MSM)., Methods: HIV-negative MSM were recruited by using the "snowball" method from 1st September 2016 to 30th September 2017 in Urumqi. The subjects were followed-up every six months since enrollment. The cell samples in anal canal were collected and the 37-type HPV test kits were used for identification and classification of HPV infection at both baseline and follow-up visits. Taking the cumulative number of different types of HPV as the dependent variable and follow-up visits as the independent variable, the trajectory model was established for the study subjects who completed baseline, 6 months and 12 months follow-up. The model was used to simulate the trend of HPV infection status when the subjects were divided into 1, 2, 3 and 4 subgroups. Bayesian information criterion (BIC), log Bayes factor and average posterior probability (AvePP) were used to evaluate the fitting effect., Results: A total of 400 HIV-negative MSM were recruited at baseline and 187 subjects completed baseline and two follow-ups. The fitting effect attained best when the variation trend was divided into two subgroups. The first subgroup accounted for 54.5%(102/187) of the total, and the curve of change in HPV infection was decreasing; the second subgroup accounted for 45.5%(85/187) of the total, and the curve of change in HPV infection was increasing., Conclusions: Trajectory model can effectively distinguish the trend of HPV infection status in HIV-negative MSM to identify the high-risk group of HPV infection.

Objective: To understand the distributions of waist circumference and waist-to-height ratio (WHtR) in Han and Uygur ethnic children aged 3-9 years in Xinjiang Uygur Autonomous Region (Xinjiang) and discuss their values in obesity screening in children., Methods: Stratified cluster random sampling was conducted to select Han and Uygur ethnic children from kindergartens and primary schools in four areas of Xinjiang in April 2014. The children's standing height, body weight and waist circumference were measured by trained investigators according to standard protocol. WC>or=P80 and WHtR>or=0.48 were used as the cutoff value for abdominal obesity screening in children with normal BMI. The association between overweight/obese prevalence rate and obesity related indicators, such as BMI, WC, WHtR, were analyzed., Results: A total of 4024 Han and Uygur ethnic children were investigated, in which 2461 were in Han ethnic group, 1563 were in Uygur ethnic group. The WC and WHtR at P50 and P80 were differed significantly. In both Han and Uygur ethnic groups, there were some children with WC>or=P80 or WHtR>or=0.48, although they had normal BMI. This proportion decreased with age., Conclusions: The WC and WHtR are similar in Han and Uygur ethnic children aged 3-9 years. WC and WHtR have values in obesity screening for children with normal BMI which suggested to use it as the supplementation of BMI in obesity screening in preschool aged children.