newslathe0
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re-pregnancy BMI was correlated with various indicators of body composition in children.Objective To study the relationship between eating behavior and obesity among Chinese adults. Methods Data were collected from 171 040 people who had been engaged in the 2013 China Chronic and Non-communicable Disease and Risk Factors Surveillance project. Rao-Scott χ(2) test and complex sampling design were used to compare the differences in the rates of eating behavior and obesity. A binary logistic regression model based on complex sampling design was used to investigate the relationship between eating behavior at three meals (breakfast, lunch and dinner) and obesity. Results The proportion (3.3%) of skipping breakfast appeared the highest. Proportions of eating out for all the three meals were 16.4%, 21.4% and 11.7%, respectively. The prevalence rates of obesity among men who ate lunch at home, ate out or skipped the lunch were 13.2%, 16.1% and 15.9%, respectively. The prevalence rates of obesity among women who ate lunch at home, ate out or skipped lunch were 14.5%, 9.8%, 19.6%, respectively. Results froer. Both eating out for lunch and dinner appeared risk factors of obesity in men while avoid lunch or dinner were both associated with obesity in both sex.Objective To identify dietary patterns among children and adolescents aged from 7 to 18 and the associations between these patterns and family characteristics. Methods A stratified cluster sampling method was used. Data was collected on 2 438 students and their parents through physical examinations and questionnaires. Students were from 16 schools (4 urban primary schools, 4 rural primary schools, 4 urban middle schools, and 4 rural middle schools) in Fangshan district, Beijing. Dietary patterns were derived by factor analysis. Rank sum tests and Pearson correlation analysis were used to analyze the correlations between family characteristics and the scores on dietary patterns. Generalized linear mixed models were used to examine the associations between family characteristics and dietary patterns, for univariate analyses. Results Two dietary patterns were identified the risk pattern and the protective pattern. Results from the univariate analyses showed that maternal BMI was associated with the risk pattern hildren from families with lower parental education, lower monthly household income, lower maternal age at birth or multiple children etc. should be promoted. Risk patterns of children with lower parental educational or higher monthly household income also need to be corrected.Objective To study and establish the percentile reference values of waist circumference (WC) for Chinese children aged 3-7 years. Methods A total of 26 480 children aged 3-7 years were collected as part of the National Survey on Physical Growth and Development of Children in nine cities (Beijing, Harbin, Xi'an, Shanghai, Nanjing, Wuhan, Guangzhou, Fuzhou and Kunming) in China from June to November 2015. Sex- and age-specific smoothed percentile reference values of WC were established using the Lambda Mu Sigma method. The P(75) and P(90) curves of WC for children aged 3-7 years in this study were linked with the published P(75) and P(90) cut-off points for Chinese children and adolescents aged 7-18 years. The P(50) percentile of WC in this study was compared with the corresponding percentiles of several foreign studies. Results The P(5), P(10), P(15), P(20), P(25), P(50), P(75), P(80), P(85), P(90) and P(95) reference values of WC were obtained for boys and girls aged 3-7 years biannually, at the interval of ers and achieved the continuity in age with the published WC cut-off points for Chinese children and adolescents aged 7-18. These established WC percentile values can be used as reference for clinical practice, health care and scientific research.Objective To explore the associations between perceived built environment attributes and adults' leisure-time physical activity in four cities of China. Methods Multistage cluster random sampling method was used to select adults aged 25 to 64 in Hangzhou, Suzhou, Chengdu, and Qingdao. Data were collected from June 2017 to July 2018. The perception of the urban built environment was assessed by the neighborhood environment walkability scale-abbreviated (NEWS-A), and the physical activity was assessed by the International Physical Activity Questionnaire. Generalized linear mixed models were used to explore the relationship between the perceived built environment and leisure-time physical activities. Results A total of 3 789 participants were included in the analysis. After adjusting for potential confounders, better access to public services (OR=1.34, 95%CI 1.02-1.75) and higher aesthetic quality (OR=1.37, 95%CI 1.09-1.73) were positively associated with the possibility of engaging in leisure-time physical activity in the past week. Similarly, these two attributes were positively associated with leisure-time walking. Higher scores on the perception of street connectivity were positively associated with leisure-time walking [exp(β)=1.09, 95%CI 1.00-1.19]. Higher residential density [exp(β)=1.000 4, 95%CI1.000 0-1.000 8], better access to physical activity destinations[exp(β)=1.09, 95%CI 1.00-1.19], and better aesthetics [exp(β)=1.11, 95%CI1.00-1.22] were associated with higher leisure-time physical activity. Similarly, these three attributes were positively associated with the possibility of meeting the WHO recommendations. Conclusion Changing some urban built environment attributes may increase leisure-time physical activity.Objective To quantitatively evaluate the relationship between sleep duration and metabolic syndrome in adults in order to set up programs on prevention and treatment of metabolic syndrome in this population. Methods Relevant studies were identified by systematically searching databases before October 2019. All statistical analyses were under the use of Stata 11.0. Results A total of 656 319 participants including 150 638 cases with metabolic syndrome were involved in thes 38 articles. A U-shaped relationship between sleep duration and metabolic syndrome was noticed. learn more For short and long sleep duration, the OR=1.11 (95%CI 1.07-1.16) and 1.10 (95%CI 1.03-1.18), respectively. Subgroup analyses on cross-sectional studies revealed that factors as men, aged under 60 years, being Asians or Caucasians would increase the risk of metabolic syndrome by 6%, 14%, 9%, and 24%, respectively for those with short sleep duration. Factors as aged 60 years and above, being black and with long sleep duration, would increase the risks of metabolic syndrome by 13% and 19%, respectively in women.

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