| Research purpose In order to understand the middle school students in laiwu city mobile phone usage, the status quo and severity of mobile Internet addiction,and the relationship between mobile Internet addiction behavior and influence factors, such as living environment, family economic conditions, parental occupation and cultural degree, parents upbringing, mental health, etc.The purpose is to provide help for people on how to educate and guide the young students use of mobile phones correctly and reasonably. To provide scientific basis for targeted prevention and intervention measuresMaterials and Methods 1. Data sources Selected three junior high schools and three high schools in Laiwu city,From which were randomly selected 22 classes and 18 classes. Distributed 2800 questionnaires, recovered 2726 questionnaires.Removed of incomplete information and input error,altogether 2666 valid questionnaires. Efficiency is 95.21%. Input SPSS system,after data processing, the results showed that 1965 students have smartphone. 2. Questionnaire investigation 2.1 General situation questionnaire :Including age, gender, grade, parental cultural degree, parental occupation, family income, residence, learning achievement et.al. 2.2 Diagnostic-Questionnaire(DQ) The questionnaire has 8 items, if the respondents give positive answers to 5 of these items, they were diagnosed with mobile Internet addiction syndrome. 2.3 Egma Minnen av Bardndosnauppforstran(EMBU) The scale has 66 items, divided into 11 factors. 6 of them are about father rearing factors. 5 of them are about mather rearing factors. Calculate the average score of each factor. Higher scores indicate,higher degree of the parenting style.2.4 Symptom Checklist(SCL-90) The scale consisted of 90 items, divided into ten factors, which reflect ten aspects of psychological symptoms. 3. survey implementation According to the unified epidemiological survey methods. Before the investigation, training for investigators on how to fill in and recycl a questionnaire.Unify guidance language. The survey scheduled in study hall time, for about 40 minutes. The survey was informed consent by students, parents and teachers. 4. Statistical Analysis The quantization of the questionnaire was input the SPSS19.0 software system, calculate the factor scores, and statistical analysis.The statistical methods included descriptive statistics, paired T test, rank sum test, chi-square test, Pearson correlation analysis, canonical correlation analysis, non conditional Logistic regression analysis.The research results 1. This study showed that 73.7% of middle school students in Laiwu use of smart phones, mobile Internet addiction rate was 8.9 %. The boys addiction rate was 9.54%, girls addiction rate was 8.36%. No statistically significant difference between them(P>0.05). The mobile phone Internet addiction rate of rural household registration students was 10.46%, the rate of city census register students was 7.50%, there was statistically significant difference between them(P<0.05). Junior high school students’ mobile phone Internet addiction rate was 7.53%, high school students’ mobile phone Internet addiction rate was 11.07%, there was statistically significant difference between them(P<0.05). The mobile phone Internet addiction rate was 10.63% of the children whose learning is poor, 7.32% of the students whose learning is medium, 6.82% of the students whose learning is good. there were statistically significant difference among them(P<0.05). In family economic conditions, mobile phone Internet addiction rate was 10.10% of poor students, moderate in 7.86%, good in 17.91%. non conditional logistic stepwise regression analysis showed that, the good economic conditions of children mobile phone Internet addiction rate is high than others. Three factors have little influence on teenagers’ mobile phone Internet addiction, they were father’s cultural degree, mother’s cultural degree and father ’s occupation.Chi square test showed no statistical significance between the two groups(P>0.05). 2. SCL-90 scores comparison between mobile phone Internet addiction(IAD) group and non IAD group showed, IAD students’ mental health is significantly worse than non IAD group. Ten factors average scores of IAD students were higher than non IAD group, T test showed there was statistically significant differences between the two groups(P<0.05). 3. Mobile phone Internet addiction(IAD) group and non IAD group parental rearing patterns factor score comparison showed, IAD group average score lower than non IAD group(P<0.05) in factor F I(emotional warmth, understanding) and M I(emotional warmth, understanding). In factor F4(preference), F5(refuse, deny), F6(over protection) and M3(refuse, deny), M4(punishment, Harsh), M5(preference),factors average score IAD group was higher than non IAD group(P<0.05). In factor F2(punishment, Harsh), F3(interference) and M2(interference, over protection),no significant differences in factor scores between the two groups(P > 0.05). 4.Pearson correlation analysis between 10 factors in mental health and 11 factors in parental rearing patterns of middle school students.The results show that the mental health status were negatively correlated with F1(emotional warmth, understanding) and M1(emotional warmth, understanding), were positively correlated with F2(punishment, harsh), F4(preference), F5(refuse, deny) F6(over protection) and M3(refuse, deny), M4(punishment, harsh), M5(preference). There were no statistically significant correlation with F3(interference) and M2(interference, over protection). 5. Through the canonical correlation analysis, three factors influenced on mental health status larger, which are hostile, terror and paranoia. M4 and F2 have greater influence on parenting style.The father factor I and mother factor was negatively correlated with other Ⅰfactors. 6. By non conditional logistic regression statistical analysis, risk factors of mobile phone Internet addiction are mother’s occupation for the self-employed, higher family income, more sensitive personal relationship, high depression degree, and mother factor V(preference). Lower of the score of mother factor I(emotional warmth, understanding), the risk of the mobile phone Internet addiction greater.Conclusion To sum up, middle school students use mobile phone rate is high, has multiple effects on their learning and life. Single factor analysis showed, the household registration, grade, academic achievement have certain relationship on the mobile phone Internet addiction. Multivariate analysis showed that, the family economic conditions, mother’s occupation, bad parental rearing patterns, poor mental health are risk factor for mobile phone Internet addiction of middle school students. Parents’ emotional warmth and understanding are protective factors for mobile phone Internet addiction of middle school students. |
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