Problematic Mobile Phone Use And Its Influencing Factors Among Middle School Student In Bengbu City

Objective:To understand the relationship between mobile phone use dependence and sub health state among students in Bengbu in order to make strategy to control students’ mobile phone dependence and provide basis for protecting students from distress of sub health.Method:Stratified sampling method was used to choose one key junior high school, one junior high school, one key high school, one ordinary high school from City of Bengbu, two ordinary junior high schools, two senior high schools from the countryside; Then choose three to six classes randomly from each grade in chosen schools, in total students’ number was 5376. Demographic characteristics of the society, The dependence of the young people on mobile phone, Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use, SQAPMPU, Multidimensional evaluation questionnaire for adolescents’ sub health, Multidimensional Sub-health Questionnaire of Adolescent, MSQA were used to test students. Use EpiData3.0 to establish the database and use SPSS 13.0 to do statistical analysis.Results:Totally 5116 effective questionnaires were withdrawn.788 adolescents did not use mobile phones(15.41%). Of the 4328 adolescents who used mobile phones, 3614(83.50%) used smart phones, the average time of using mobile phones was (2.20 ±0.53) years. Main use of mobile phone was to make phone calls(50.81%); The dependence rate of mobile phones among adolescents was influenced by sex, grade, registered permanent residence, the only child, parents are biological parents, literacy rate of parents, expectation of parents, learning burden, academic record, number of close friends, evaluation of body shape. And the differences were statistically different. The detection rate of physical and mental sub-health state was 21.01%, detection rate of physical sub-health state was 26.15%, detection rate of mental sub-health state was 25.06%; The differences between different sex, grades, whether or not was only child, difference family economic state were statistically different, there was no significant difference between city and country. Logistic regression analysis suggests that dependence on mobile phones can increase the happening risk of body sub-health (OR=2.18,95% CI=1.87-2.54), mental sub-health (OR=3.43,95% CI=2.93-4.02), body and mental sub-health (OR=3.14,95% CI=2.66-3.70)Conclusion:The detection rate of dependence on mobile phones and sub-health state is quite high. Dependence on mobile phones is influenced by sex, grade, registered permanent residence, the only child, parents are biological parents, literacy rate of parents, expectation of parents, learning burden, academic record, number of close friends, evaluation of body shape and can increase rate of body sub-health, mental sub-health and body and mental sub-health.