Association between drinking behavior and sleep duration in Chinese adults: findings from the China Health and Nutrition Survey

Background:To examine the association between alcohol drinking and short sleep duration among Chinese adults.Methods:Based on inclusion and exclusion criteria,28,167 records of 15,074 adults longitudinal data were obtained from the China Health and Nutrition Survey for the period from 2004 to 2011.A multilevel logistic regression model was employed to explore the association between alcohol drinking and sleep duration.Results:Compared with nondrinking participants,a high drinking frequency was positively correlated with a short sleep duration in both the males(odds ratio(OR)=1.33,95%confidence interval(CI)=1.20–1.48,P<0.001)and females(OR=1.60,95%CI=1.18–2.18,P=0.003)before the covariates were adjusted.After adjusting for age,residence area,education level,marital status,smoking,coffee consumption,tea consumption,and activity level,this association remained significant in the males(OR=1.31,95%CI=1.17–1.46,P<0.001)but not in the females(OR=1.16,95%CI=0.85–1.59,P=0.340).Conclusion:The present results suggest that a high drinking frequency was positively correlated with a short sleep duration in male population.Comprehensive measures therefore need to be implemented to improve sleep duration,especially to increase awareness of the dangers of drinking alcohol.

Industrialization, Environment and Health:the Impacts of Industrial SO_2 Emission on Public Health in China

In this paper, we construct a model in which the impact of pollution on health is exerted through both direct and indirect channels. The indirect channel is captured by a production func-tion in which the principal health-improving factor, income growth, can be realized only in the cost of pollution increase. This model is then tested by the aggregated chronicle disease data in over 78 Chinese counties. Our results show, after attaining the threshold of 8 μg/m2, continuous increase in industrial SO2 emission density will lead the ratio of population suffering chronicle diseases, among which respiratory diseases occupy a significant proportion, to rise. However, owing to technological progress in pollution control activities, the needed SO2 emission to produce one unit of GDP diminishes with time. Therefore, the negative effect from pollution augmentation on public health seems to be recompensed more and more by the positive effect of economic growth.

Data mining in clinical big data:the frequently used databases,steps,and methodological models

Many high quality studies have emerged from public databases,such as Surveillance,Epidemiology,and End Results(SEER),National Health and Nutrition Examination Survey(NHANES),The Cancer Genome Atlas(TCGA),and Medical Information Mart for Intensive Care(MIMIC);however,these data are often characterized by a high degree of dimensional heterogeneity,timeliness,scarcity,irregularity,and other characteristics,resulting in the value of these data not being fully utilized.Data-mining technology has been a frontier field in medical research,as it demonstrates excellent performance in evaluating patient risks and assisting clinical decision-making in building disease-prediction models.Therefore,data mining has unique advantages in clinical big-data research,especially in large-scale medical public databases.This article introduced the main medical public database and described the steps,tasks,and models of data mining in simple language.Additionally,we described data-mining methods along with their practical applications.The goal of this work was to aid clinical researchers in gaining a clear and intuitive understanding of the application of data-mining technology on clinical big-data in order to promote the production of research results that are beneficial to doctors and patients.

Prevalence of hypertension and its associations with body composition across Chinese and American children and adolescents

Background The age of onset of hypertension(HTN)is decreasing,and obesity is a significant risk factor.The prevalence and racial disparities in pediatric HTN and the association between body composition and blood pressure are insufficiently studied.This study aimed to evaluate the prevalence of HTN in Chinese and American children and adolescents and to assess the relationship between various body composition indices and HTN.Methods Seven thousand,five hundred and seventy-three Chinese and 6239 American children and adolescents aged 8–18 years from the 2013–2015 China Child and Adolescent Cardiovascular Health study and the 2011–2018 National Health and Nutrition Examination Surveys were analyzed.Blood pressure and body composition(fat and muscle)were measured by trained staff.The crude prevalence and age-standardized prevalence rate(ASPR)of primary HTN and its subtypes[isolated systolic hypertension(ISH)and isolated diastolic hypertension(IDH)]were calculated based on 2017 American Academy of Pediatrics guidelines.Multivariable-adjusted linear regression coefficients and odds ratios(ORs)were calculated to assess the associations of body composition indicators with HTN,ISH and IDH.Results The ASPR of HTN was 18.5%in China(CN)and 4.6%in the United States(US),whereas the obesity prevalence was 7.4%and 18.6%,and the population attributable risk of HTN caused by overweight and obesity was higher in the US than in CN.Increased fat mass,muscle mass and body fat percentage mass were associated with a higher risk of HTN in both countries.The percent of muscle body mass had a protective effect on HTN and ISH in both countries[HTN(CN:OR=0.83,95%CI=0.78–0.88;US:OR=0.72,95%CI=0.64–0.81);ISH(CN:OR=0.87,95%CI=0.80–0.94;US:OR=0.71,95%CI=0.62–0.81)],and the protective effect was more common among children and adolescents with high levels of physical activity.Conclusions The burden of HTN in Chinese children and adolescents was substantial and much greater than that in the US,and the contribution of obesity to HTN was higher in the US than in CN.Augmenting the proportion of muscle mass in body composition has a protective effect against HTN in both populations.Optimizing body composition positively influences blood pressure in children and adolescents,particularly those with high-level physical activity.

Association between sleep duration and overweight/obesity among Chinese children and adolescents:a longitudinal study

Background:To determine the associations between sleep duration and overweight/obesity in Chinese children and adolescents.Methods:This longitudinal study analyzed 3,126 children and adolescents aged 7 to 18 years who had participated in the China Health and Nutrition Survey during 2004-2011.Sleep duration was classified into<9 h,9-10 h,and>10 h for children aged 7-12 years,and<8 h,8-9 h,and>9 h for adolescents aged 13-18 years.Results:After adjusting for confounder,short sleep duration was associated with overweight/obesity for girls aged 7-12 years(β=4.32,95%confidence interval=1.27 to 7.37,P=0.006)and boys aged 13-18 years(β=3.38,95%confidence interval=2.01 to 4.74,P<0.001).No statistically significant association was found among the other 2 groups.Meanwhile,long sleep duration was not statistically significant at any age.Conclusion:The association between short sleep duration and overweight/obesity to be dependent on both age and gender.

中国城乡居民口粮消费差距估算——基于中国健康与营养调查数据

利用中国健康与营养调查数据,并结合食物成分表和人口统计年鉴的数据,可以估算城乡居民自1997年到2009年部分年份的口粮消费量。在估算时,需要考虑居民在外就餐的情况,并需解决同一类食物下不同种食物不能直接加总和不同特征人群之间食物消费不能直接加总的问题。根据估算结果,自1997年到2009年城乡居民的口粮消费量都出现了下降的趋势,并且农村居民的年人均口粮消费量在最近几年都是比城镇居民只高20公斤至24公斤(按成品粮计算),二者的口粮消费结构差异也不是很明显,据此可以认为城乡居民基本生活水平差距并没有因其收入差距的拉大而拉大。

CHNS数据库架构及数据申请提取方法与流程

中国居民健康与营养调查(China Health and Nutrition Survey,CHNS)是由美国北卡罗来纳大学教堂山分校人口中心与中国疾病预防控制中心营养与健康所(NINH)联合开展的国际合作的连续性的队列研究。该研究旨在探讨近30年来中国社会经济转型和计划生育政策开展如何影响国民健康和营养状况,主要体现为疾病模式和卫生服务状况的持续变化,为社会新时期相关政策调整提供参考依据。CHNS项目信息及研究数据在CHNS网站公布且持续更新,面向公众开放。研究者可在CHNS网站申请获取CHNS研究数据并开展相关研究。本文将介绍CHNS项目研究背景,CHNS网站架构,CHNS数据申请获取及数据读取等。