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Ŀĵѧѧϰպĩʱ估ǽ״̽ѧѧϰպĩʱǽ״̬Ĺϵ201110²ö׶ηֲȺ졢硢й30ѧУ28814 400ѧЧʾ13 817ݡݰһ˿ͳѧϢǽ״̬öԪlogisticعģͷѧѧϰպĩʱǽ״Ĺѧϰպĩʱ䣾2 h/dıֱΪ15.1%2 085/13 81758.5%8 077/13 817Уѧϰպĩʱ䣾2 h/dıֱΪ17.9%1 187/6 64461.3%4 070/6 644Ů12.5%898/7 17355.9%4 007/7 173ݣ2ֱֵΪ76.9541.35Pֵ0.01塢ǽ״̬ļʷֱΪ24.8%3 431/13 81721.7%2 997/13 81722.1%3 051/13 817УŮ塢ǽʷֱΪ 26.0%1 863/7 17322.9%1 642/7 17323.1%1 658/7 17323.6%1 568/6 64420.4%1 355/6 64421.0%1 393/6 644ݣ2ֱֵΪ10.3912.669.25Pֵ0.05ѧ塢ǽʷֱΪ 31.6%2 176/6 88428.3%1 946/6 88428.9%1 990/6 884ڳѧ18.1%1 255/6 93315.2%1 051/6 93315.3%1 061/6 933ݣ2ֱֵΪ337.65349.46371.54Pֵ0.05˿ͳѧѧϰʱ2 h/dȣѧϰʱ䣾2 h/dѧ塢ǽյOR95%CIֱֵΪ1.391.251.551.621.451.811.591.431.78ĩʱ2 h/dȣĩʱ䣾2 h/dѧ塢ǽյOR95%CIֱֵΪ1.491.371.611.811.661.981.711.571.872011졢硢ѧʱ䣾2 h/dǽʾϸߡʱ䣾2 h/dǽ״Σء

ؼʣƣۺԣΣأꣻʱ

Abstract:

ObjectiveTo describe the prevalence and relationship between screen time and sub~health status among middle school students in weekdays and weekends. MethodsWith multistage stratified random cluster sampling, 14 400 students from junior and senior middle schools in 288 classes of 30 schools in 4 cities( Shenyang, Chongqing, Xinxiang, Guangzhou) were investigated in October,2011.A total of 13 817 valid questionnaires were retained for analysis. Survey content includes general demographic information, screen time,sub~health state. Logistic regression model was used to analyze the relationship between screen time and sub~health status.  ResultsThe screen time among middle school students > 2 h/d on weekdays and weekends were 15.1%2 085/13 817 and 58.5%8 077/13 817, respectively. Among them, the boys screen time > 2 h/d on weekdays and weekends were 17.9% (1 187/6 644) and 61.3% (4 070/6 644), which were higher than girls (12.5% (898/7 173), 55.9%4 007/7 173)(2 values were 76.95 and 41.35, respectively. P 0.01). The prevalence of physical sub~health status, psychological sub~health status and sub~health status were 24.8%3 431/13 817,21.7%2 997/13 817 and 22.1%3 051/13 817, respectively. Among them, the girls  prevalence of physical sub~health status, psychological sub~health status and sub~health status were  26.0%1 863/7 173,22.9%1642/7 173 and 23.1%1 658/7 173), respectively,which were higher than boys(23.6%1 568/6 644,20.4%1 355/6 644 and 21.0%1 393/6 644) 2 values were 10.39,12.66 and 9.25respectively .P0.05. The senior students  prevalence of physical sub~health status, psychological sub~health status and sub~health status were 31.6%2 176/6 884,28.3%1 946/6 884 and 28.9%1 990/6 884, respectively,which were higher than junior students (18.1%1 255/6 933,15.2%1 051/6 933 and 15.3%1 061/6 933)(2values were 337.65,349.46 and 371.54respectively, P0.05).After adjusting on demographic characteristics, compared with screen time 2 h/d on weekdayscreen time > 2 h/d on weekday was significantly associated with physical sub~health status, psychological sub~health status and sub~health statusOR(95%CI): 1.391.25~1.551.621.45~1.81 and  1.591.43~1.78. And compared with screen time 2 h/d on weekendscreen time > 2 h/d on weekend was also significantly associated with physical sub~health status, psychological sub~health status and sub~health status OR(95%CI):1.491.37~1.611.811.66~1.98, and 1.711.57~1.87.  ConclusionThe rate of the screen time > 2 h/d and the detection ratio of sub~health among the middle school students in Shenyang, Chongqing, Xinxiang, Guangzhou in 2011 were high. Screen time >2 h/d on weekdays or weekends was a risk factor for sub~health status.

Key words: Fatigue syndromechronic;Risk factorsAdolescentScreen time

ڣ2014/9

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