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Analyzing the distinguishing factors that affect childhood obesity in South Korea
So Jung Yang, Hun-Sung Kim, Kun-Ho Yoon
《医学前沿(英文)》 2018年 第12卷 第6期 页码 707-716 doi: 10.1007/s11684-018-0660-x
Understanding obesity in children is crucial because it can lead to adulthood obesity and result in fatal chronic diseases. Distinctive factors associated with obesity in adults have been described, but distinctive factors related to children remain unclear. We analyzed the correlation between the percentage of body mass index and lifestyle habits by conducting surveys on physical, nutritional, and psychological factors, and we used annual physical examination data to compare different traits among elementary school students (n = 197) and middle school students (n = 461). Our study revealed that the computing hours in elementary school students with overweight and obesity were significantly correlated with the percentage of body mass index (r = 0.29 on school days and r = 0.35 on days off, all P<0.05). No statistically significant difference was found (all P>0.05) in the computing hours of middle school students with overweight and obesity. Childhood obesity can cause depression and reduce children’s quality of life because of their distorted body perception. In conclusion, physical factors directly affecting childhood obesity and psychological and environmental factors surrounding a child should be considered.
关键词: screen time quality of life eating habits childhood obesity percentage of body mass index
Various brain-eating amoebae: the protozoa, the pathogenesis, and the disease
《医学前沿(英文)》 2021年 第15卷 第6期 页码 842-866 doi: 10.1007/s11684-021-0865-2
关键词: free-living amoebae central nervous system infection primary amoebic meningoencephalitis granulomatous amoebic encephalitis
Foxtail millet: nutritional and eating quality, and prospects for genetic improvement
Lu HE,Bin ZHANG,Xingchun WANG,Hongying LI,Yuanhuai HAN
《农业科学与工程前沿(英文)》 2015年 第2卷 第2期 页码 124-133 doi: 10.15302/J-FASE-2015054
关键词: foxtail millet grain quality quality evaluation breeding for quality
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《医学前沿(英文)》 2012年 第6卷 第4期 页码 428-435 doi: 10.1007/s11684-012-0232-4
The increasing prevalence of childhood overweight and obesity has been associated with an increased risk for cardiovascular disease (CVD). While several studies examined the effect of single behaviors such as physical activity (PA), sedentary behavior or diet on CVD risk, there is a lack of research on combined associations, specifically in children. Therefore, the purpose of this study was to examine the joint association of PA or screen time (ST) and diet on CVD risk factors in children. PA, ST and diet were assessed via questionnaire in 210 fifth grade students (age: 10.6±0.4 years). The healthy eating index (HEI) was subsequently calculated as indicator for diet quality. Height, weight, % body fat, and resting blood pressure were measured according to standard procedures and blood samples obtained via fingerprick were assayed for blood lipids. Total cholesterol HDL ratio (TC:HDL), mean arterial pressure (MAP), and % body fat were used as indicators of CVD risk. 55% of children did not meet current PA recommendations on at least 5 days/week and 70% exceeded current recommendations for ST. Further, only 2.5% possessed a “good” diet (HEI>80). There was no significant association of PA or ST and diet on CVD risk score. Neither TC:HDL, MAP, and % body fat nor the total CVD risk score was significantly correlated with diet, PA, or ST. Children in the high PA group, however, had significantly better diet scores. Despite the fact that self-reported PA, ST, or dietary intake were not directly related to CVD risk in this sample, higher activity levels were associated with a healthier diet and lower ST indicating an overall healthier lifestyle of this subgroup.
关键词: exercise sedentary behavior metabolic syndrome health behavior adolescents TV time healthy eating index
通过行为足迹学习人类习惯的个性化服务机器人 Article
李坤, Max Q.-H. Meng
《工程(英文)》 2015年 第1卷 第1期 页码 79-84 doi: 10.15302/J-ENG-2015024
对家用的私人机器人来说,个性化服务和预先设计的任务同样重要,因为机器人需要根据操作者的习惯调整住宅状况。为了学习由诱因、行为和回报构成的操作者习惯,本文介绍了行为足迹,以描述操作者在家中的行为,并运用逆向增强学习技巧提取用回报函数代表的操作者习惯。本文用一个移动机器人调节室内温度,来实施这个方法,并把该方法和记录操作者所有诱因和行为的基准办法相比较。结果显示,提出的方法可以使机器人准确揭示操作者习惯,并相应地调节环境状况。
标题 作者 时间 类型 操作
Analyzing the distinguishing factors that affect childhood obesity in South Korea
So Jung Yang, Hun-Sung Kim, Kun-Ho Yoon
期刊论文
Foxtail millet: nutritional and eating quality, and prospects for genetic improvement
Lu HE,Bin ZHANG,Xingchun WANG,Hongying LI,Yuanhuai HAN
期刊论文
Joint association of physical activity/screen time and diet on CVD risk factors in 10-year-old children
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期刊论文