Construction of influencing factor segmentation and intelligent prediction model of college students' cell phone addiction model based on machine learning algorithm

Mobile phone addiction among college students has emerged as a prevalent phenomenon in contemporary society, posing significant challenges to the development and well-being of these individuals. The assessment of the extent of mobile phone addiction has become an urgent concern in the present context. This study employed a sample of 3000 college students from a public university in Zhejiang Province, China, to gather questionnaire data. By utilizing a machine learning algorithm, we identified the most salient factors associated with college students' addiction, with perfectionism emerging as the primary influencer. Additionally, a machine learning-based prediction model for college students' cell phone addiction was developed, yielding a prediction accuracy of 76.68%. This intelligent model can serve as a reliable tool for subsequent evaluations of college students' cell phone addiction.

Effects of sports on school adaptability, resilience and cell phone addiction tendency of high school students

BACKGROUND

Sport help promote healthy physical and mental development of high school students. To date, there have been few studies on the effect of sport on school adaptability, resilience and cell phone addiction tendency of high school students.

AIM

To explore the effects of sports on school adaptability, resilience and cell phone addiction of high school students.

METHODS

A stratified random sampling method was used to select 600 students from two high schools in Lhasa, and Physical Activity Rating Scale, School Adjustment Scale for High School Students, Chinese Adolescents Resilience Scale, and Mobile Phone Addiction Index were used for field questionnaire survey.

RESULTS

Sport was positively correlated with school adaptability and resilience (P < 0.01), school adaptability was positively correlated with resilience (P < 0.01) and cell phone addiction was negatively correlated with sports, school adaptability and resilience (P < 0.01). The direct effect of sport on cell phone addiction was significant (P < 0.001), accounting for 20.51% of the total effect. The mediating effect of school adaptability on sport and cell phone addiction was significant (P < 0.001), accounting for 17.38% and 35.36% of the total effect value, respectively. School adjustment and resilience had a significant chain-mediated effect on sport and cell phone addiction (P < 0.001), accounting for 26.75% of the total effect.

CONCLUSION

Sport affected the cell phone addiction tendency of senior high school students through the mediating effect of school adaptability and resilience, and through the chain mediation effect of both.

Age, gender, peers, life skills and quality of life influence risk of cell phone addiction among college teachers in Karnataka, India : a state level epidemiological analysis

BACKGROUND

Cell phones are an integral part of modern day life and have become companions for individuals irrespective of age, gender and socio-economic status. In this study, we assessed the factors affecting risk of cell phone addiction among teachers attending Life Skills Training and Counselling Services (LSTCS) program in Karnataka.

METHODS

This cross sectional secondary data analysis utilised data from baseline assessment of trainees attending a Life Skills Training and Counselling Services program (LSTCP). Various factors hypothesised to be affecting risk of cell phone addiction (outcome) was analysed using univariate and multivariable logistic regression analysis. All the analysis was done using STATA 12.0 software.

RESULTS

Multivariable logistic regression analysis was conducted with risk of cell phone addiction as outcome. A conceptual framework of hypothesized exposure variables was developed based on expert consultation and literature review. Overall, data of 1981 participants was utilized. Gender (AOR=1.91; 95% CI=1.27-2.77), number of peers (AOR=1.01; 95 CI=1-1.008) and social quality of life (AOR=1.01; 95% CI=1.00-1.03) were associated with increased risk of cell phone addiction. Age (AOR=0.98; 95%CI=0.96-1.00), empathy (AOR=0.96;95%;CI=0.93-0.99), communication skills(AOR=0.92, 95%;CI=0.88-0.96) and physical quality of life (AOR=0.96; 95% CI=0.95-0.98) were associated with reduced risk of cell phone addiction.

CONCLUSIONS

This study on precursors of risk of cell phone addiction, conducted mostly among apparently healthy individuals, provide important insights into interventions to reduce risk of cell phone addiction. The complexity of associations between peers, gender, quality of life and risk of cell phone addiction needs further exploration.

Impulsivity facets and mobile phone use while driving: Indirect effects via mobile phone involvement

Mobile phone use while driving (MWD) is a threat to road safety, particularly for younger drivers. Research suggests impulsivity may be a psychological risk factor for MWD, however, the literature is limited. The current study examined the unique contributions of impulsivity facets on different social interactive MWD behaviours, and whether these relationships were influenced by mobile phone involvement. Eight hundred and fifty-three young drivers aged 17-25 years (M_age = 19.89; 74 % female) completed an online questionnaire which included measures of the five-facet model of impulsivity, mobile phone involvement, and MWD (initiating, monitoring/reading, and responding to social communications). Of impulsivity facets, lower premeditation and higher positive urgency significantly predicted each MWD behaviour, while higher sensation seeking significantly predicted responding only, providing some support for differential relationships of impulsivity facets with MWD. Mobile phone involvement was a more robust predictor of MWD. Moreover, there were significant indirect effects of positive and negative urgency via mobile phone involvement for all three MWD behaviours. Findings highlight the importance of mobile phone involvement for explaining MWD which should be addressed in future studies.

Trends in Scientific Literature on Addiction to the Internet, Video Games, and Cell Phones from 2006 to 2010

BACKGROUND

The goals of the present work were to retrieve the scientific articles published on addiction to the Internet, video games, and cell phones and to analyze the pattern of publications in this area (who is doing the research, when and where it is taking place, and in which journals it is being published), to determine the research being conducted as well as to document geographical trends in publication over time in three types of technological addictions: Internet, cell phones, and video games.

METHODS

Articles indexed in PubMed and PsycINFO between 2006 and 2010 related to the pathological use of Internet, cell phones, and video games were retrieved. Search results were reviewed to eliminate articles that were not relevant or were duplicates.

RESULTS

Three hundred and thirty valid articles were retrieved from PubMed and PsycINFO from 2006 to 2010. Results were compared with those of 1996-2005. The year with the highest number of articles published was 2008 (n = 96). The most productive countries, in terms of number of articles published, were China (n = 67), the United States (n = 56), the United Kingdom (n = 47), and Taiwan (n = 33). The most commonly used language was English (70.3%), followed by Chinese (15.4%). Articles were published in 153 different journals. The journal that published the most articles was Cyberpsychology and Behavior (n = 73), followed by Chinese Journal of Clinical Psychology (n = 27) and International Journal of Mental Health and Addiction (n = 16). Internet was the area most frequently studied, with an increasing interest in other areas such as online video games and cell phones.

CONCLUSIONS

The number of publications on technological addictions reached a peak in 2008. The scientific contributions of China, Taiwan, and Korea are overrepresented compared to other scientific fields such as drug addiction. The inclusion of Internet Gaming Disorder in the Diagnostic and Statistical Manual of Mental Disorders, 5(th) Edition could change the publication trends in the technological addiction area and underline the relevance of this upcoming disorder in dissatisfaction with life in general.

The Role of Depression and Attachment Styles in Predicting Students' Addiction to Cell Phones

BACKGROUND

The present study aimed at investigating the role of depression and attachment styles in predicting cell phone addiction.

METHODS

In this descriptive correlational study, a sample including 100 students of Payame Noor University (PNU), Reyneh Center, Iran, in the academic year of 2013-2014 was selected using volunteer sampling. Participants were asked to complete the adult attachment inventory (AAI), Beck depression inventory-13 (BDI-13) and the cell phone overuse scale (COS).

FINDINGS

Results of the stepwise multiple regression analysis showed that depression and avoidant attachment style were the best predictors of students' cell phone addiction (R(2) = 0.23).

CONCLUSION

The results of this study highlighted the predictive value of depression and avoidant attachment style concerning students' cell phone addiction.