谢晨,马爱娟,谢瑾,姜博,方凯,隗瑛琦,董忠.北京市18~64岁劳动力人口经常锻炼情况及其影响因素分析[J].中华流行病学杂志,2022,43(3):373-379 |
北京市18~64岁劳动力人口经常锻炼情况及其影响因素分析 |
Current status of regular exercise and influencing factors in 18-64 year old labor force population in Beijing |
收稿日期:2021-07-27 出版日期:2022-03-21 |
DOI:10.3760/cma.j.cn112338-20210727-00589 |
中文关键词: 经常锻炼 静态行为 劳动力人口 影响因素 |
英文关键词: Regular exercise Sedentary behavior Labor force Influencing factors |
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中文摘要: |
目的 了解北京市18~64岁劳动力人口经常锻炼情况及其影响因素,为开展行为干预提供依据。方法 数据来源于2017年8-12月北京市成年人慢性病与危险因素监测,该监测采用多阶段分层整群抽样方法在全市范围内抽取13 240名调查对象,本研究纳入其中11 604名18~64岁劳动力人口。采用问卷调查人口学基本信息、慢性病患病及各类身体活动信息。测量身高和体重。采集空腹静脉血进行FPG、血脂等生化指标的测定。采用SPSS 20.0软件进行复杂抽样样本加权及数据分析。结果 北京市18~64岁劳动力人口经常锻炼率和从不锻炼率分别为23.74%(95%CI:21.51%~26.12%)和64.34%(95%CI:61.66%~66.94%);每日锻炼时间为23.44(95%CI:21.16~25.71) min,每日总静态行为时间为6.96(95%CI:6.80~7.13) h。随年龄升高,经常锻炼率及从不锻炼率均升高(P=0.006;P<0.001);随文化程度升高,经常锻炼率增加(P<0.001),从不锻炼率降低(P<0.001);身体活动水平越高,经常锻炼率越高(P<0.001);就业人群经常锻炼率低于未就业人群(P<0.001)、女性从不锻炼率高于男性(P=0.024)。多因素分析结果显示,年龄大、文化程度高为经常锻炼的积极因素(35~岁:OR=0.653,95%CI:0.530~0.804,P<0.001;50~64岁:OR=0.695,95%CI:0.560~0.864,P=0.001;高中/中专/技校:OR=0.679,95%CI:0.593~0.777,P<0.001;大专:OR=0.478,95%CI:0.387~0.590,P<0.001;本科及以上:OR=0.435,95%CI:0.347~0.546,P<0.001),而就业(OR=1.631,95%CI:1.330~2.000,P<0.001)及已婚/同居(OR=1.340,95%CI:1.093~1.644,P=0.038)是经常锻炼的消极因素。结论 北京市18~64岁劳动力人口经常锻炼率仍待提高,年龄大和文化程度高为经常锻炼的积极因素,已婚/同居及就业为经常锻炼的消极因素。 |
英文摘要: |
Objective To understand the regular exercise status and influencing factors in 18-64 year-old labor force population in Beijing, and provide evidences for behavioral intervention. Methods Data were collected from Beijing Adult Non-communicable and Chronic Diseases and Risk Factors Surveillance Program from August to December, 2017. The stratified cluster sampling method was used to select 13 240 survey subjects throughout the city. The valid sample size included in this study were 11 604 persons aged 18 to 64 years. Questionnaire was used to collection the information about basic demographic characteristics, chronic disease history and physical activity prevalence of the study subjects. The body height and weight were measured by standard methods. Fasting venous blood samples were collected for the detection of fasting blood glucose, blood lipids and other biochemical indicators. Software SPSS 20.0 was used fort complex sampling sample weighting and data analysis. Results The proportions of the study subjects who did regular exercise and never had leisure-time activity in 18-64 year-old labor force population in Beijing were 23.74% (95%CI:21.51%-26.12%) and 64.34% (95%CI:61.66%-66.94%) respectively; The average daily physical activity time was 23.44 min (95%CI:21.16-25.71), and the total daily sedentary behavior time was 6.96 hours (95%CI:6.80-7.13). With the increase of age, the proportions of the study subjects who did regular exercise and never had leisure-time activity increased (P=0.006, P<0.001). With the increase of educational level, the proportion of those who did regular exercise increased (P<0.001), and the proportion of those who never had leisure-time activity decreased (P<0.001); the higher the level of physical activity, the higher the regular exercise proportion (P<0.001); the proportions of employed people who did regular exercise was lower than those in unemployed people (P<0.001); the proportions of women never had leisure-time activity was higher than those in men (P=0.024). The results of multivariate analysis showed that older age and higher education level were positive factors for regular exercise (35- years old:OR=0.653, 95%CI:0.530-0.804, P<0.001; 50-64 years old:OR=0.695, 95%CI:0.560-0.864, P=0.001; high school/technical secondary school/technical School:OR=0.679, 95%CI:0.593-0.777, P<0.001; college graduation:OR=0.478, 95%CI:0.387-0.590, P<0.001; bachelor degree and above:OR=0.435, 95%CI:0.347-0.546, P<0.001), while employment (OR=1.631, 95%CI:1.330-2.000, P<0.001) and married/cohabitation (OR=1.340, 95%CI:1.093-1.644, P=0.038) were negative factors for regular exercise.Conclusions The rate of regular exercise in 18-64 year-old labor force population in Beijing needs to be improved. Older age and high educational level were positive factors for regular exercise, while being married and employed were negative factors for it. |
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