Research On The Impact Factors And Intervention Of Screen Behaviors In Spare Time For Adolescents In Shanghai

1. BackgroupChild obesity is an important public health problem; the screen behavior is one of factors that can be prevented. It still lacks for teenagers in China city of systematic research on the prevalence, impact, and intervention.2.ObjectThe objective of this research is through health field epidemiology study for the study population and the intervention trials on middle school students Shanghai city, understanding the statue of student’s screen behavior, analyzing the association of screen behavior and overweight, obesity, verifying the dividing value of extra-screen behavior, analyzing the influence factors of family environment and mental, carrying out the life skill education based intervention, exploring the influence of personality on the behavior, providing the evidence for adolescent’ health promotion.3.Methods3.1 Study on adolescents’sedentary and screen behaviors. Using multi-stage sampling methods in 2011, select three middle school students in three districts and fill in the questionnaire by themselves to analysis and subtotal their activities at and away from school. Data was tested by descriptive analysis, correlation analysis and Kruskal-Wallis test.3.2 Study on adolescents’ screen behaviors and obesity in Shanghai. Using two stage random sampling methods, select grade 6 to 9 students in 9 middle schools from 4 districts. Among those investigated objects, select 6 schools to carry out blood biochemical detection. Through two items of logistic regression, data were analyzed by descriptive analysis and multi-factor analysis.3.3 Study on adolescents’ current behavior and influence factors. After investigation on the current screen behavior of adolescents, analysis the effect of psychological and family factors on too long screen time behavior. Using two stage random sampling methods to select and investigate grade 6-9 students in 9 middle schools from 4 districts. Through two items of logistic regression to have multifactor analysis, data were analyzed by descriptive analysis and multi-factor analysis.3.4 Study on the intervention of adolescents’too long screen time. Using the methods of social cognitive theory and life skills education to explore appropriate intervention pattern, evaluate intervention effects and influence factors of intervention effects. Thus, reach the goal of decline middle school students’ bad screen behavior and obesity rate. Designed by quasi experimental research with intervention group and control group. The baseline and effect evaluation investigation all include questionnaire investigation, physical examination and survey on schools’environment. Based on the frame of social cognitive theory, the intervention measures include the making of life skills education teaching materials, plans and aids, the health education course in pilot intervention schools with the main content of life skills education, the brochures aimed with health behavior for students and parents, the special discussion participated by both school and family, ect. Through analysis of covariance and two items of logistic regression to have multifactor analysis, data were analyzed by descriptive analysis and multi-factor analysis.4.Result4.1 Study between sedentary behavior and screen behavior among adolescents: sedentary behavior time at the weekend was 389.19 mins, and screen behavior time at the weekend was 122.93 mins. Sedentary behavior time was not associated with moderate physical activity (MPA) and negatively associated with light physical activity (LPA). Means of screen behavior time among adolescents with different nutritional status were statistical significance.4.2 Study on screen behavior and obesity:Compared with non-obesity group, screen behavior time, BMI of parents was higher in obesity group, they also drank more sugared beverages, ate more, exercised less (60mins each day); there were more boys in obesity group. In addition, age was an impact factor. There was no statistically significant associations with long screen time and glucose, insulin, total cholesterol, triglyceride,HDL,LDL,CRP. After age.sex,interaction adjusted,1.43 hour screen behavior time was the cutoff point which influenced adolescents health.4.3 Study on screen behavior and impact factors:Average screen behavior time for one week was 2.68 hours, among which 2.92 hours for boys and 2.47 hours for girls. Screen behaviors of 51.5% subjects were more than 2 hours each day. Psychological factors such as poor environment, inferiority tendency, and study stress, which impacted screen time significantly. Influence factors for long time screen behavior time in home environment included electronic equipment holding, less restricting on electronic equipment, parent’s time in screen activities, mother’s education.4.4 Intervention study on long screen time behavior of adolescents:After one-year intervention, evaluation results didn’t reach expected effect. After adjusted sex and group, nervousness and masked affection were associated with behavior change. In the intervention, personality feature distribution were different between treatment and control groups, this may take effect on intervention.5 Conclusion:Screen behavior has become a general behavior in Shanghai adolescents. Long-time screen behavior relates to some health problems as obesity. So we should prevent and control long-time screen behavior. Long-time screen behavior affect by home environment and psychological factors. The evaluation of intervention may be affected by personality feature as well as intervening measures.