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基于随机森林分析广西地区20~39岁青年人超重及肥胖的影响因素 被引量:2

Influential factors of overweight and obesity in young adults aged 20 to 39 in Guangxi based on random forest algorithm
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摘要 目的探讨广西地区20~39岁青年人的交通方式、工作状态、闲暇时间的活动对超重和肥胖的影响,为提高全民身体素质水平提供参考意见。方法对广西14个地市的国民体质监测中心监测点的20~39岁青年人进行随机整群抽样,共纳入7534例研究对象。将其分成20~<30岁、30~39岁两组资料过采样处理后建立随机森林分类模型。结果根据基尼指数的下降幅度对变量重要性排序结果显示:20~<30岁青年超重和肥胖的影响因素主要为骑摩托车、电动车时长,读书、用电脑等时长,看电视、听广播时长,以静坐伏案为主时长,轻家务劳动时长;30~39岁青年超重和肥胖的影响因素主要为骑摩托车或电动车时长,看电视、听广播时长,读书、用电脑等时长,轻家务劳动时长,以静坐伏案为主时长。结论人们要尽量缩短静坐行为的持续时间。短距离路程尽量选择骑自行车和步行,工作方式与闲暇活动方面避免久坐,增加科学规律的体育锻炼。 Objective To explore the influence of transportation mode,working status,and leisure time activity on overweight and obesity among young adults aged 20 to 39 in Guangxi,so as to provide a reference for improving the physical fitness level of the whole population.Methods A randomized wholegroup sample of young adults aged 20-39 years from institutions in cities of Guangxi was conducted,with a total of 7534 cases.The data were divided into 20-<30 and 30-39 ages groups,and a random forest classification model were constructed after over-sampling a random forest classification model.Results According to the decline of the Gini index,we ranked the importance of the variables.The main influencing factors of overweight and obesity for young people aged 20-<30 were the time spent riding motorcycles,electric bicycles,reading and using computers,the time spent watching TV and listening to the radio,mainly sitting at a desk,and light housework.As for 30-39 age group,the influencing factors of overweight and obesity were,in order,the length of time riding a motorcycle or electric vehicle;the length of watching TV and listening to the radio;the length of reading and using the computer;the length of light housework;the length of sitting mainly at the desk.Conclusions People should try to shorten the duration of sedentary behavior.In a short distance,try to choose cycling and walking,avoid sedentary work style and leisure activities,and increase scientific and regular physical exercise will be good choices.
作者 彭迎春 莫海娟 赖银娟 黄志碧 罗茜倩 韦瑜群 PENG Ying-chun;MO Hai-juan;LAI Yin-juan;HUANG Zhi-bi;LUO Qianqian;WEI Yu-qun(School of Sports Science and Health,Guangxi College of Physical Education,Nanning 530012,China;School of Public Health,Guangxi Medical University,Nanning 530021,China;Guangxi Medical University Affiliated Tumor Hospital,Nanning 530021,China)
出处 《中华疾病控制杂志》 CAS CSCD 北大核心 2021年第6期734-738,共5页 Chinese Journal of Disease Control & Prevention
基金 广西中青年教师科研基础能力提升项目(2020KY26008)。
关键词 青年 超重 随机森林 Youth Overweight Random forest algorithm
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