[Current status of regular exercise and influencing factors in 18-64 year old labor force population in Beijing].

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. 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. 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%: 21.51%-26.12%) and 64.34% (95%: 61.66%-66.94%) respectively; The average daily physical activity time was 23.44 min (95%: 21.16-25.71), and the total daily sedentary behavior time was 6.96 hours (95%: 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 (=0.006, <0.001). With the increase of educational level, the proportion of those who did regular exercise increased (<0.001), and the proportion of those who never had leisure-time activity decreased (<0.001); the higher the level of physical activity, the higher the regular exercise proportion (<0.001); the proportions of employed people who did regular exercise was lower than those in unemployed people (<0.001); the proportions of women never had leisure-time activity was higher than those in men (=0.024). The results of multivariate analysis showed that older age and higher education level were positive factors for regular exercise (35- years old: =0.653, 95%: 0.530-0.804, <0.001; 50-64 years old: =0.695, 95%: 0.560-0.864, =0.001; high school/technical secondary school/technical School: =0.679, 95%: 0.593-0.777, <0.001; college graduation: =0.478, 95%: 0.387-0.590, <0.001; bachelor degree and above: =0.435, 95%: 0.347-0.546, <0.001), while employment (=1.631, 95%: 1.330-2.000, <0.001) and married/cohabitation (=1.340, 95%: 1.093-1.644, =0.038) were negative factors for regular exercise. 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.