Psychometric Properties of Mobile Phone Abuse (MPA): Exploratory and Confirmatory Factor Analysis in Student Mobile Users.

Objective: Smartphone is an important technology device in our lifestyle. It has an important part of our daily lives, but it also has a negative effect, such as cell phone dependency. This research aimed to evaluate the psychometric properties of mobile phone abuse (MPA) in the Iranian population. Method: In this study, data were chosen from 1100 participants who were studying in Tehran universities. The principal version of the scale was translated into Persian using the back translation method. All attendees completed Demographic Questionnaire, MPA Questionnaire, and Mobile Phone Problematic Use Scale (MPPUS). Eventually, a clinical interview (based on the fifth version of DSM) was done for all the participants. For data analysis, internal and external consistency, factor analysis, construct validity and confirmatory factor analysis (CFA) were used. Statistically, less than 0.05 were considered to be significant. Results: According to expert judgments, content validity index was satisfactory. Furthermore, the reliability of the questionnaire was confirmed with Cronbach's α of 0.90 and test-retest reliability of 0.56 after 3 weeks. The best cutoff point for this questionnaire (MPA) was 46. Also, 4 factors were extracted by principal components method and varimax rotation: "excessive use of cell phone," "addictive use of social networks," "mood modification," and "preoccupation" for both male and female students. Conclusion: MPA could be used in studies on the evaluation of mobile phone addiction. This can be a stepping stone towards the identification of problems and improvement of students' mobile phone abuse.

The effects of cognitive-behavioral group therapy for reducing symptoms of internet addiction disorder and promoting quality of life and mental health.

INTRODUCTION: Internet addiction disorder has reportedly become an important cause of health and social problems. The aim of this study was to investigate the effectiveness of cognitive-behavioral group therapy for internet addiction symptoms, quality of life, and mental health of students with internet addiction. METHODS: This was a quasi-experimental study with pretest-posttest measures and a control group. The statistical population of the study consisted of all students at Tehran universities in the academic year of 2018-19. The target group was selected through an internet addiction test and a clinical interview using a targeted sampling method and was divided into experimental and control groups by randomization. The experimental group participated in fifteen 90-minute cognitive-behavioral group therapy sessions. Before, immediately after, and 3 months after the treatment, the internet addiction symptoms of both groups were evaluated to assess mental health with the IAT, quality of life (QOL), and SCL-90-R questionnaires. Data were analyzed with ANCOVA analysis using SPSS Statistics 20 software. RESULTS: After treatment, cognitive-behavioral therapy groups showed reductions in internet addiction scores (p < 0.05). Results showed that the cognitive-behavioral group therapy was effective for improving quality of life (p < 0.05) and mental illnesses (p < 0.05) in students with internet addiction. CONCLUSIONS: Cognitive-behavioral group therapy can enhance awareness and mental health of students with internet addiction. Therefore, this intervention can be used as a beneficial treatment to reduce internet addiction symptoms and improve the condition of people with behavioral addictions such as internet dependency.

The effects of cognitive-behavioral group therapy for reducing symptoms of internet addiction disorder and promoting quality of life and mental health

Abstract Introduction Internet addiction disorder has reportedly become an important cause of health and social problems. The aim of this study was to investigate the effectiveness of cognitive-behavioral group therapy for internet addiction symptoms, quality of life, and mental health of students with internet addiction. Methods This was a quasi-experimental study with pretest-posttest measures and a control group. The statistical population of the study consisted of all students at Tehran universities in the academic year of 2018-19. The target group was selected through an internet addiction test and a clinical interview using a targeted sampling method and was divided into experimental and control groups by randomization. The experimental group participated in fifteen 90-minute cognitive-behavioral group therapy sessions. Before, immediately after, and 3 months after the treatment, the internet addiction symptoms of both groups were evaluated to assess mental health with the IAT, quality of life (QOL), and SCL-90-R questionnaires. Data were analyzed with ANCOVA analysis using SPSS Statistics 20 software. Results After treatment, cognitive-behavioral therapy groups showed reductions in internet addiction scores (p < 0.05). Results showed that the cognitive-behavioral group therapy was effective for improving quality of life (p < 0.05) and mental illnesses (p < 0.05) in students with internet addiction. Conclusions Cognitive-behavioral group therapy can enhance awareness and mental health of students with internet addiction. Therefore, this intervention can be used as a beneficial treatment to reduce internet addiction symptoms and improve the condition of people with behavioral addictions such as internet dependency.

Addictive Use of Smartphones and Mental Disorders in University Students.

Objective: Despite the awareness of smartphone addiction, low findings and lack of validated standards have led to insufficient information in this area. This study aimed to examine the relationship between mobile phone dependency and mental disorders in students in Iran, while controlling for the impact of gender, age, educational levels, and marital status. Method : In this cross-sectional study, a sample of 1400 university students (445 males and 955 females) aged 18-35 years were selected from 3 cities of Tehran, Isfahan and Karaj. The participants filled out a set of questionnaires: Cell Phone Dependency Questionnaire (CPDQ), Millon Multiaxial Clinical Inventory, and participated in interviews. Data were analyzed using multiple logistic regression method via SPSS-22 software. Results: In terms of controlling the demographic variables, the results revealed that bipolar disorder, depression, anxiety, somatization, dependent personality disorder, and compulsive personality disorder could increase the possibility of mobile phone addiction by 4.2, 4.2, 1.2, 2.8, 3.1, and 3.2 folds, respectively (P < 0.05). However, other disorders and demographic characteristics did not have any significant effects on the equation. Conclusion: The results can help better understand the relationship between psychological syndromes and smartphone addiction and can also facilitate further studies in this field. In addition, those students with smartphone addiction should be provided with different preventative strategies. Moreover, a growing range of stimulating applications may trigger the risk of addiction.

The Survey of Personal and National Identity on Cell Phone Addicts and Non-Addicts.

Objective: Smart phones have rapidly become an integral, and for some, an essential communication device worldwide. The issue of identity has always been a subject of interest among psychologists. The present study was conducted to compare personal and national identity and their subscales between cell phone addicts and non-addicts. Method: In this cross-sectional study, 500 student cell phone users from various universities in Tehran were recruited using stratified sampling. Participants completed cell phone addiction questionnaires including Mobile Phone Problematic Use Scale (MPPUS), Cell Phone Dependency Questionnaire (CPDQ), Personal Identity Development Questionnaire, Extended Objective Measure of Ego Identity Status (EOMEIS) and National Identity Questionnaire. Then, the subscales of these instruments were analyzed using SPSS Version 20. Results: Results of this study revealed significant differences between cell phone addicts and non-addicts in the scores of national identity, personal identity, and most subscales, except for some subscales (P<0.05). In addition, a negative and significant relationship was found between personal and national identity and cell phone addiction (r=-0.35, -0.33, respectively).On the other hand, after controlling for the confounder variables, we found that national identity had an effect on cell phone addiction(OR=0.05, CI=0.92-0.98). Conclusion: The results of this study indicated that cell phone overuse may be correlated with defects in some aspects of national and personal identity.

The Cognitive and Psychological Factors (Personality, Driving Behavior, and Mental Illnesses) As Predictors in Traffic Violations.

Objective: Driving is a complex behavior and is affected by several factors. This cohort study aimed at representing the main determinants such as personality features, driving behavior, and mental illnesses on driving violation based on logistic regression. Method: In this cohort study, 800 heavy truck and lorry drivers were recruited. Participants were selected from those individuals who referred to Imam Sajjad hospital in Tehran, Iran during fall 2013 to summer 2015. Manchester Driving Behavior Questionnaire (MDBQ), Big Five Personality Test (NEO Personality Inventory), and SADS (Semi-Structural Interview) were used in this study. After 2 years, we checked all traffic violations caused by human factors involving the drivers. SPSS Version 18 was used for data analysis; t test and logistic regression (OR) was also used. Results: The findings of the present study revealed significant differences between the 2 groups of drivers (those who were and were not involved in driving offenses) with respect to controlling the effective and demographic variables. Moreover, it was found that depression and anxiety could increase the chance of accidents (2.4 and 2.7 accidents odds, respectively) (P = 0.04, P = 0.004). Furthermore, just neuroticism could increase 1.1 odds of traffic offences (P = 0.009), but other personality traits did not have an effect on the equation. Conclusion: Consistent with previous examinations, some mental disorders may affect traffic violations. Considering the magnitude and sensitivity of driving behavior, it is essential to evaluate multiple psychological factors in drivers before and after receiving or renewing their driver's licenses.