Zhu Baocheng, Chen Xiaorong, Fu Jiling, Wan Yuhui, Tao Fangbiao
Physical and Military Education Section of Anhui University, Hefei 230039, China. Email:
Zhonghua Yu Fang Yi Xue Za Zhi. 2014 Sep;48(9):771-5.
To describe the prevalence and relationship between screen time and sub-health status among middle school students in weekdays and weekends.
With 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.
The 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) )(χ² 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)) (χ² values were 10.39, 12.66 and 9.25, respectively. P < 0.05). 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)) (χ² values were 337.65, 349.46 and 371.54, respectively, P < 0.05). After adjusting on demographic characteristics, compared with screen time ≤ 2 h/d on weekday, screen time > 2 h/d on weekday was significantly associated with physical sub-health status, psychological sub-health status and sub-health status (OR (95% CI): 1.39 (1.25-1.55), 1.62 (1.45-1.81) and 1.59 (1.43-1.78)). And compared with screen time ≤ 2 h/d on weekend, screen 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):1.49 (1.37-1.61), 1.81 (1.66-1.98), and 1.71 (1.57-1.87)).
The 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.
描述工作日和周末中学生的屏幕使用时间及其与亚健康状态之间的患病率和关系。
采用多阶段分层随机整群抽样方法，于2011年10月对来自沈阳、重庆、新乡、广州4个城市30所学校288个班级的14400名初、高中学生进行调查。共保留13817份有效问卷用于分析。调查内容包括一般人口学信息、屏幕使用时间、亚健康状态。采用Logistic回归模型分析屏幕使用时间与亚健康状态之间的关系。
工作日和周末中学生屏幕使用时间>2小时/天的比例分别为15.1%（2085/13817）和58.5%（8077/13817）。其中，工作日和周末男生屏幕使用时间>2小时/天的比例分别为17.9%（1187/6644）和61.3%（4070/6644），高于女生（12.5%（898/7173），55.9%（4007/7173））（χ²值分别为76.95和41.35，P<0.01）。身体亚健康状态、心理亚健康状态和亚健康状态的患病率分别为24.8%（3431/13817）、21.7%（2997/13817）和22.1%（3051/13817）。其中，女生身体亚健康状态、心理亚健康状态和亚健康状态的患病率分别为26.0%（1863/7173）、22.9%（1642/7173）和23.1%（1658/7173），高于男生（23.6%（1568/6644）、20.4%（1355/6644）和21.0%（1393/6644））（χ²值分别为10.39、12.66和9.25，P<0.05）。高中生身体亚健康状态、心理亚健康状态和亚健康状态的患病率分别为31.6%（2176/6884）、28.3%（1946/6884）和28.9%（1990/6884），高于初中生（18.1%（1255/6933）、15.2%（1051/6933）和15.3%（1061/6933））（χ²值分别为337.65、349.46和371.54，P<0.05）。在调整人口学特征后，与工作日屏幕使用时间≤2小时/天相比，工作日屏幕使用时间>2小时/天与身体亚健康状态、心理亚健康状态和亚健康状态显著相关（OR（95%CI）：1.39（1.25 - 1.55），1.62（1.45 - 1.81）和1.59（1.43 - 1.78））。与周末屏幕使用时间≤2小时/天相比，周末屏幕使用时间>2小时/天也与身体亚健康状态、心理亚健康状态和亚健康状态显著相关（OR（95%CI）：1.49（1.37 - 1.61），1.81（1.66 - 1.98），和1.71（1.57 - 1.87））。
2011年沈阳、重庆、新乡、广州中学生屏幕使用时间>2小时/天的比例及亚健康检出率较高。工作日或周末屏幕使用时间>2小时/天是亚健康状态的危险因素。
