文章摘要
田壮,李洪铮,孙堃,翟敏.济宁市任城区居民体力活动水平及影响因素分析[J].济宁医学院学报,2018,41(3):195-198
济宁市任城区居民体力活动水平及影响因素分析
Impact factors on physical activity among the residents in Rencheng District Jining City
投稿时间:2018-01-11  
DOI:10.3969/j.issn.1000-9760.2018.03.011
中文关键词: 体力活动;影响因素;现况调查
英文关键词: Physical activity;Factor analysis;Cross-sectional study
基金项目:2017年济宁医学院教师科研扶持基金(JY2017RW002);2017年度山东省高等学校人文社科计划一般项目(J17RA139)
作者单位E-mail
田壮 济宁医学院公共卫生学院, 济宁, 272067  
李洪铮 济宁医学院公共卫生学院, 济宁, 272067  
孙堃 济宁医学院公共卫生学院, 济宁, 272067  
翟敏 济宁医学院公共卫生学院, 济宁, 272067 zmpljyhj@163.com 
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中文摘要:
      目的 了解济宁市任城区居民体力活动水平及相关影响因素。方法 采取随机抽样的方法,在3个城市社区及2个乡镇抽取300名居民进行横断面调查,采用WHO推荐的国际体力活动问卷调查其体力活动水平,采用秩和检验及二元多因素非条件logistic回归分析其体力活动水平不足的影响因素。结果 300名居民中,低、中、高体力活动水平的比例分别为19.0%、67.0%、14.0%。年收入10万及以上的人群发生体力活动不足的危险性是低收入人群的0.249倍(OR=0.249,95%CI:0.068~0.906,P<0.05),第三类职业发生体力活动不足的危险性是第一类职业的16.543倍(OR=16.543,95%CI:1.683~16.617,P<0.05),自评健康状况较差的居民体力活动不足的危险性是自评健康状况较好的3.566倍(OR=3.566,95%CI:1.127~11.279,P<0.05)。结论 收入、职业、自评健康状况对济宁市任城区居民体力活动水平有一定影响。
英文摘要:
      Objective To explore the level of physical activities(PA)and related influencing factors among the residents in Rencheng District Jining City.Methods In a cross sectional study,International Physical Activity Questionnaire was used to assess the levels of PA.Mann-Whitney U test,Kruskal-Wallis H test and binary logistic regression were applied to analyze the related factors.Results Among the 300 residents included in this study,The prevalence rates on the low,moderate and high levels of PA were 19.0%,67.0% and 14.0%,respectively.The risk of physical inactivity for people with an annual income of 100,000 or more was 0.249 times that of low-income groups (OR=0.249,95%CI=0.068~0.906,P<0.05) The risk of physical inactivity for people in the third category of occupation was 16.543 times that in the first type of occupation(OR=16.543,95%CI=1.683~16.617,P<0.05),and the risk of physical inactivity for people with poor self-rated health was 3.566 times that with better self-rated health(OR=3.566,95%CI=1.127~11.279,P<0.05).Conclusion The influencing factors of physical inactivity were income,occupation and self-rated health.
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