| Objective: the paper is based on the time-use epidemiological research method,based on the occupational population walking competition,to explore:(1)the relevant factors that affect the intervention effect of overweight and obesity office population;(2)to explore the relationship between different physical activity behavior time of overweight and obesity people,so as to lay a foundation for the formulation of walking intervention guidelines for overweight / obesity office population from the point of view of time allocation.Research methods: this study was based on the "Ten Thousand steps appointment" incentive walking competition project carried out by the chronic Disease Center of the Chinese Center for Disease Control and Prevention,from 5388 overweight / obesity working workers from eight regions across the country.4975 workers with complete healthy test data and 100-day walking records were selected as subjects.Body mass index,body fat rate,visceral adiposity index,systolic blood pressure,diastolic blood pressure,waist circumference and hip circumference were measured before and after exercise.The statistical methods used included one-way analysis of variance and binomial logistic multivariate regression analysis.At the same time,the "Isotemporal substitution model" was used to analyze the correlation between SB(sedentary behavior),LPA(low intensity physical activity),MPA(moderate intensity physical activity),VPA(vigorous intensity physical activity)and7 health indexes.Results: the complete data of 4975 participants were obtained.after participating in the activity,the body mass index,body fat rate,visceral fat index,waist circumference,hip circumference,systolic blood pressure and diastolic blood pressure were improved.The difference was statistically significant(P<0.05).The results of logistic regression analysis showed that lower baseline physical activity level,less sleep time,sedentary time and more effective step time were associated with the decrease of BMI(P< 0.05).Compared with baseline physical activity level(sedentary)group,sleep time(appropriate)group,sedentary time(2-4h/day)group and effective step time(less than 30min/day)group,The OR values were 0.777(95CI:0.613~0.985),0.714(95CI:0.531~0.959),0.152(95CI:0.106~0.219),0.765(95CI:0.603~0.971),1.451(95CI:1.161~1.814),0.353(95CI:0.24~0.521),3.694(95CI:1.021~13.359),4.326(95CI:1.173~15.95);Less sleep time,sedentary time and ten thousand step rate were associated with the decrease of BFP(body fat percentage).Compared with sleep time(suitable)group,sedentary time(2-4h/day)group and ten thousand step rate(unqualified)group,the OR values were 0.715(95CI:0.559~0.915),0.812(95CI:0.675~0.975),0.342(95CI:0.258~0.452),1.701(95CI:1.05~2.755),respectively.Less sleep time,sedentary time,urban and rural areas were associated with the decrease of WHt R(waist circumference / height ratio).Compared with sleep time(appropriate)group,sedentary time(2-4h/day)group and urban group,the OR values were 1.584(95CI:1.257~1.995),1.339(95CI:1.132~1.584),0.454(95CI:0.341~0.605)and 0.611(95CI:0.389~0.961),respectively.0.448(95CI:0.273~0.734),1.216(95CI:1.046~1.412);Less sleep time,sedentary time and the qualified rate of day and evening were associated with the decrease of systolic blood pressure(SBP).Compared with sleep time(suitable)group,sedentary time(2-4h/day)group and day and night(unqualified)group,the OR values were 1.324(95CI:1.053~1.665),0.718(95CI:0.606~0.852)and 1.421(95CI:1.202~1.68),respectively.0.354(95CI:0.27~0.465),0.368(95CI:0.236~0.574),0.606(95CI:0.395~0.931),1.485(95CI:1.019~2.163);Sedentary time,education status and urban and rural areas were related to the decrease of systolic blood pressure(DBP).Compared with sedentary time(2-4h/day)group,education status group(below secondary education)and cities,the OR values were 1.287(95CI:1.092~1.516),1.568(95CI:1.133~2.172)and 1.164(95CI:1.007~1.347),respectively.The results of Isotemporal substitution model analysis showed that the substitution of LPA for SB was related to the decrease of BMI and the decrease of lean body weight(P<0.05),β =-0.029(95CI:-0.052 ~-0.006),-0.067(95CI:-0.104 ~-0.03);and the substitution of MPA for SB was related to the decrease of lean body weight(P<0.05),β = 0.078(95CI: 0.02 ~ 0.137).The substitution of VPA for SB was related to the decrease of BMI,lean body mass,BFP,waist circumference,hip circumference,SBP and DBP(P<0.05).The β values were-0.054(95CI:-0.066 ~-0.041),-0.078(95CI:-0.098 ~-0.058),-0.039(95CI:-0.064 ~-0.014),-0.124(95CI:-0.182 ~-0.066),-0.098(95CI:-0.158 ~-0.038),-0.213(95CI:-0.389 ~-0.037),respectively;The substitution of VPA for LPA was related to the decrease of BMI,BFP,waist circumference and hip circumference(P<0.05).The β values were-0.025(95CI:-0.048 ~-0.001),-0.051(95CI:-0.098 ~-0.004),-0.135(95CI:-0.244 ~-0.026)and-0.22(95CI:-0.332 ~-0.107),respectively.Conclusion: walking can indirectly reduce the risk of chronic diseases by improving metabolic indexes.In the 100-day " Ten Thousand steps appointment" walking intervention program,people with lower baseline physical activity levels showed more health benefits after the intervention.at the same time,sedentary time,sleep time,effective step time,average daily walking volume and exercise time can affect the improvement of corresponding health indexes to some extent.From the perspective of time use,after replacing with 10min/day,LPA will decrease BMI by an additional 0.029 compared to SB,and VPA will decrease BMI and BFP by an additional 0.054 and 0.039 compared to SB,both of which indicate more obvious health benefits than SB;VPA will respectively decrease BMI and BFP by additional0.025 and 0.051 compared to LPA,which has a conspicuous effect on fat loss and weight loss;There may be no substitution effect between MPA and VPA on fat loss and weight loss. |