جستجوی مقالات مرتبط با کلیدواژه « اعتیاد به اینترنت » در نشریات گروه « روانشناسی »

Internet addiction can include psychological pathology. Several variables play a role in Internet addiction, which can be mentioned as depression, anxiety, stress, and self-esteem with Internet addiction. The question of research is whether there is a correlation between internet addiction and depression, anxiety, stress and self-esteem?

The present study aimed to investigate psychopathologic correlates of internet addiction in Afghan Student studying in Iranian universities.

The current research was a descriptive correlational study that was conducted in the academic year of 2022-2023.A total of 268 people (159 boys, 109 girls), from Afghan students studying in Iranian universities, who were selected by stratified random sampling, completed three scales; Internet addiction test, depression, anxiety, stress test and Rosenberg self-esteem test were used. The obtained data were analyzed using Pearson's correlation, regression analysis and t-test.

Results revealed a significant positive correlation between depression, anxiety, and stress with Internet addiction (P< 0.01).Furthermore, depression, stress, and anxiety were found to be significant predictors of Internet addiction (P< 0/0001). Anxiety which accounted for 13% of the variance was the best predictor, followed by depression (2%) and stress (3%).The Prevalence of internet addiction was significantly higher among male subjects. Finally, our results suggested that Self-Esteem is largely irrelevant to internet addiction (P> 0.05).

Internet addiction can include psychological pathology. Several variables play a role in Internet addiction, which can be mentioned as depression, anxiety, stress, and self-esteem with Internet addiction. The question of research is whether there is a correlation between internet addiction and depression, anxiety, stress and self-esteem?

The present study aimed to investigate psychopathologic correlates of internet addiction in Afghan Student studying in Iranian universities.

The current research was a descriptive correlational study that was conducted in the academic year of 2022-2023.A total of 268 people (159 boys, 109 girls), from Afghan students studying in Iranian universities, who were selected by stratified random sampling, completed three scales; Internet addiction test, depression, anxiety, stress test and Rosenberg self-esteem test were used. The obtained data were analyzed using Pearson's correlation, regression analysis and t-test.

Results revealed a significant positive correlation between depression, anxiety, and stress with Internet addiction (P< 0.01).Furthermore, depression, stress, and anxiety were found to be significant predictors of Internet addiction (P< 0/0001). Anxiety which accounted for 13% of the variance was the best predictor, followed by depression (2%) and stress (3%).The Prevalence of internet addiction was significantly higher among male subjects. Finally, our results suggested that Self-Esteem is largely irrelevant to internet addiction (P> 0.05).

Considering that Internet addiction can be predicted through the dimensions of depression and anxiety; therefore, the results of this research have important points in the field of education of students suffering from Internet addiction and therapeutic interventions to control their psychological dysfunction.

Considering that Internet addiction can be predicted through the dimensions of depression and anxiety; therefore, the results of this research have important points in the field of education of students suffering from Internet addiction and therapeutic interventions to control their psychological dysfunction.

The present study was conducted to present a prediction model of Internet addiction based on the brain-behavioral system with the mediation of cognitive flexibility in adolescents. The present study was a descriptive-correlation type of structural equation modeling. The statistical population of the present study consisted of all the male and female students of the second secondary level of Ashtian City in the academic year 2021-2022, of which 250 were selected using the available sampling method. Data were collected from Dennis et al's Cognitive Flexibility Questionnaire (2010) (CFI), Young's Internet Addiction Test (IAT) (1998), and Carver and White's Brain Behavioral System Scale (1994) (BIS/BAS). The obtained data were analyzed through correlation tests and structural equation modeling software. The results showed that there is a negative and significant relationship between the behavioral activation system and cognitive flexibility with Internet addiction (P<0.01). There is a positive and significant relationship between the behavioral inhibition system and cognitive flexibility with Internet addiction. has (P>0.01). Also, the modified model had a favorable fit. That is, the research model can explain the relationship between the variables. Also, the results indicated the confirmation of the mediating role of cognitive flexibility in the relationship between brain behavioral systems and Internet addiction in adolescents. P<0.01). By applying programs and interventions to increase cognitive flexibility, the tendency to become addicted to the Internet can be reduced.

The present study was conducted to predict physical literacy and movement motivation based on internet addiction among female primary school students. The method of this research was descriptive-correlation. The statistical population included all working female students studying in elementary schools in Tehran in the academic year of 2021-2022, 438 of whom were selected as a sample using G Power software. Internet addiction questionnaire (IAQ) by Chen (2003), physical literacy (PHIQ) by Longmire et al (2017), and movement motivation (MMQ) by Nazarpuri et al (2019) were used to collect data. Pearson's correlation coefficient and simultaneous regression analysis were used to analyze the data. The results of the research showed that there is a significant negative relationship between Internet addiction with physical literacy and movement motivation (p<0.05). The results of regression analysis showed that 25% of changes in physical literacy and movement motivation were explained through Internet addiction. Based on the findings of the present study, it can be concluded that Internet addiction is an important predictor of physical literacy and movement motivation in students.

The development of technology and consequently the Internet has had a different impact on family relationships and adolescence' sense of self-worth. The present study aims to determine the relationship between family intimacy and self-esteem by mediating role of internet addiction.
The research procedure used in this study is based on the descriptive-correlational method. The target population in this study was all adolescences studying in high school that 252 people of them were selected as the sample by available sampling. They completed Young’s Internet Addiction Test (1998), Thompson and Walker Intimacy Questionnaire (1983) and Rosenberg Self-esteem (1965). Path analysis method, Pearson correlation test and AMOS and SPSS software were used to analyze the data.
The results of regression analysis indicated that:a) family intimacy was the positive and significant predictor of self-esteem, b) the family intimacy was negative and significant predictor of self-esteem, and c) the internet addiction mediated the relationship between family intimacy and self-esteem.
Based on the present results, it can be suggested that one of ways of enhancing self-esteem are to increase family intimacy. Training students for correct use internet can also be effective.

Today, new social harms have emerged at the level of schools, which overshadowed the personal and academic lives of many students. Considering the importance of cyberbullying, Internet addiction and alexithymia, as well as the gap in research, it seems necessary to provide a coherent model in this field and conduct more studies.

The purpose of the present study was to present a model of self-esteem and Internet addiction in secondary school students based on cyberbullying with the mediating role of alexithymia.

The current research was a description of the type of correlation and structural equation studies. The statistical population of the research included all female students of second secondary schools in Yasuj city in the academic year of 2022-2023. 250 people were selected by cluster sampling method and the questionnaires of cyberbullying by Setin et al. (2011), Rosenberg's self-esteem (1963), Internet addiction Young (1999) and alexithymia Bagby et al. (1994) responded enthusiastically. Finally, the data were collected and analyzed by Pearson correlation and structural equations modeling using SPSSV19 and AMOSV20 software.

The results showed that cyberbullying had a positive, direct and significant effect on alexithymia and internet addiction and a negative, direct and significant effect on self-esteem
(P< 0.01). Also, alexithymia had a mediating role in the relationship between cyberbullying and self-esteem and Internet addiction (P< 0.01).

In the end, it can be said that the final model of the research has a good fit, and therefore, the awareness of teachers, managers, parents, students and other experts in the field of education about the variables of this model can help prevent new social harms in schools.

The aim of the present study was to investigate the structural model of academic enthusiasm based on identity style and emotional intelligence in first-secondary students of gifted schools with the mediating role of Internet addiction. The descriptive research method was of the correlation type with the structural equation modeling method, and in terms of the purpose, it was of the applied type. The statistical population of the present study included all the first high school boys of Khomeini-shahr with brilliant talents in the academic year of 1402-1401, all 117 of them participated in the research using the available method. The data collection tool was Pintrich et al.'s academic enthusiasm questionnaire (1991), Berzonsky's identity style questionnaire (1992), Barr-Ann emotional intelligence questionnaire (1988) and Young's internet addiction questionnaire (1998). The structural equation modeling method was used to analyze the data. The findings of the research showed that the measured model has a good fit with the theoretical model. Identity style and emotional intelligence on academic enthusiasm with the mediation of Internet addiction of first secondary students according to the data. The results showed that the internet addiction of gifted students has a direct (p<0.05) and indirect (p<0.05) effect and a partial mediating role. Therefore, it is necessary to pay attention to the role of identity style, emotional intelligence and internet addiction in preventing and improving academic enthusiasm

The purpose of this study was to compare the effectiveness of treatment based on positive psychology and cognitive-behavioral therapy on internet addiction and high risk behaviors of second course male students in Yasouj city. The research method was a semi-experimental study with pretest and posttest design and control group. The statistical population included all male students of the second course of high schools in Yasouj city in the academic year of 2020-2021. At first, the Internet Addiction Test was completed by the students and 45 students whose internet addiction score was above the cut-off point (equal to 46) were randomly selected and divided into two experimental groups and one control group (15 subjects in each group) was assigned. Before the implementation of the interventions, the Internet Addiction Test and the Iranian Adolescents Risk-taking Scale were completed by the subjects. After that, experimental group 1 (cognitive-behavioral therapy) and experimental group 2 (therapy positive psychology) were treated in 10 sessions of 90 minutes, while the control group received no intervention. After the session, the post-test was performed and the obtained data were analyzed using multivariate covariance analysis. The results showed that both cognitive-behavioral therapy and therapy positive psychology can be effective in reducing internet addiction and high risk behaviors (p<0.001). Also, no significant difference was observed between the two treatments (p>0.05). According to the results, therapists and clinical experts can use cognitive-behavioral therapy and therapy positive psychology as effective treatment approaches in the field of Internet addiction and prevention of risky behaviors.

The aim of this study was to examine the relationship between childhood maltreatment (CM) and internet addiction (IA) among university students by determining the mediating role of attachment styles and coping strategies.

This research was a cross-sectional correlational study using the structural equation analysis method. The study population consist of all university students in Mashhad city, and among them, a sample of 497 students was selected using convenience sampling method. The research tools included internet addiction test (IAT), childhood maltreatment questionnaires-short form (CTQ-SF), revised adult attachment scale (RAAS), and coping inventory for stressful situations (CISS). Data were analyzed by Pearson correlation method and structural equation modeling.

The results showed that there is a positive and significant correlation between CM and IA in students. The bootstrap results indicated that among attachment styles, avoidant attachment style and among coping strategies, avoidant and problem-oriented strategies can play a positive and meaningful mediating role in the relationship between childhood maltreatment and Internet addiction.

Considering the importance of the sensitive period of childhood and the lasting effects of traumatic experiences on the formation of insecure attachment styles and its subsequent consequences in adulthood including the use of ineffective coping strategies such as problematic use of internet to cope with unpleasant feelings caused by childhood maltreatments, the results of this study can provide practical implications for informing parents through educational programs.

The present study was conducted with the purpose of investigating the mediating role of emotion regulation difficulties in the relationship between family communication patterns and Internet addiction. The research method was applied in terms of objective, quantitative in terms of data type and descriptive-correlation in terms of the nature of the research and structural equation modeling. The statistical population of this research included all male students of the first secondary level of Ray city, 200 students were selected by multi-stage cluster sampling. The research tools included the revised questionnaire of Fitzpatrick and Ritchie's family communication patterns (1997), the emotional regulation difficulties questionnaire of Gertz and Roemer (2004) and the Internet addiction questionnaire of Young (1998). In order to measure the validity of the questionnaires, content and construct validity (convergent and divergent) and Cronbach's alpha coefficient and composite reliability coefficient were used to calculate the reliability, and the results indicated the validity and reliability of the questionnaires. In order to analyze the data, descriptive and inferential statistics methods (structural equation modeling) were used with Spss-V23 and Lisrel-V8.8 software. The findings showed that family communication patterns had a direct effect (0.74) on emotional regulation difficulties. On the other hand, emotion regulation difficulties had a direct effect (0.61) and family communication patterns had an indirect effect (1.10) through the mediating role of emotion regulation difficulties. Finally, it can be said that the research model had a good fit.

This research was conducted to investigate the role of social anhedonia in predicting internet addiction with the moderating role of personality traits of extraversion and introversion in students. The present research method was descriptive correlational. The statistical population of the study was Shiraz University students in the academic year 2021-2022, from whom 340 people were selected by the available sampling method. The research questionnaires included Yang’s Internet Addiction Test (IAT, 1998), the Anticipatory and Consummatory Interpersonal Pleasure Scale  (ACIPS, 2011), and the Eysenck Personality Questionnaire (EPQ, 1985). The relationships between variables were tested by linear regression analysis and the research model was tested by structural equation modeling technique. The results showed that social anhedonia could explain 19% of the variance of internet addiction in students. The results of structural equation modeling also showed that extraversion and introversion personality traits had a moderating role in the relationship between social anhedonia and internet addiction (p<0.01). Finally, these results showed that social anhedonia can predict internet addiction in students, and extraversion and introversion personality traits play a moderating role in the relationship between these two variables.

Examining the role of factors influencing internet addiction is important in maintaining the health of its users. Therefore, the aim of the present study was to investigate the role of rumination and loneliness in adolescents' Internet addiction.

The present study was descriptive-correlational. The statistical population was all male students of the first year of secondary school in Rabat Karim city in the academic year of 2021-2022, in which 240 people were selected based on Gajresi and Morgan table by available sampling method; They answered the Nolen-Hoeksema & Morrow (1991) Ruminant Questionnaire, Asher et al. (1984) Feeling Lonely, and Young (1996) Internet Addiction Questionnaires. Data were analyzed by Pearson correlation and multiple linear regression using SPSS software version 22.

The results showed that there is a positive and significant relationship between rumination and loneliness with Internet addiction (P <0.001). Also, 26.2% of rumination and loneliness were able to explain Internet addiction.

According to the results of this study, teaching students the correct use of new technology such as the Internet and also teaching how to cope with feelings of loneliness is essential.

Academic life is one of the most important aspects of each person's life that can affect other aspects of life. While the issue of academic decline and low level of academic performance of pupils and students is one of the main problems of the academic life of individuals and the educational system of each country; Accordingly, this study was conducted to investigate the prediction of academic performance based on Internet addiction and academic stress in male high school male students in Ahvaz. In this correlational study, the statistical population consisted of all male high school students in Ahvaz in the academic year 2020-2021, which were selected as a sample by stratified cluster sampling of 255 people. To collect data to assess academic performance index, students' GPA and questionnaires of Internet Addiction of Young (1988) & academic stress of Sun, Don, Hu and Zhou (2011) were used. Data were analyzed by using pearson correlation and step wiseregressionsThe results showed that internet addiction had a negative and significant relationship with academic performance and academic stress had a negative and significant relationship with academic performance. Internet addiction and academic stress predicted 44% of the variance related to students 'academic performance, and internet addiction had a greater share in students' academic performance. According to the results, the importance of paying attention to internet addiction and academic stress in academic performance is felt more than before. Academic performance seems to be influenced by other factors and their interactive effects.

The present study was conducted with the aim of examining the causal-structural relationships of self-efficacy and self-regulation with Internet addiction, with the mediation of quality of life among teenagers in Tehran.

The research design is descriptive-retrospective correlation. A total of 314 teenagers were selected from the teenagers of Tehran city using available sampling method. The data were collected using Young's Internet Addiction Questionnaire, Warosherbon's 36-item Quality of Life Questionnaire, Beaufard's Self-Regulation Questionnaire, and the Self-Efficacy Questionnaire of Mauritian Children and Adolescents. The data were analyzed using the structural equation modeling method in AMOS-Graphic software version 24.

All research variables except self-regulation had a significant negative relationship with Internet addiction. The path coefficients indicated the appropriate fit of the model in which both quality of life (directly) and self-efficacy (indirectly through quality of life) predicted Internet addiction. The direct paths of quality of life with Internet addiction, self-regulation with self-efficacy are significant at the level of significance (α<0.01) and self-efficacy with quality of life are significant at the level of significance (α<0.05). The results for the direct paths of self-efficacy with Internet addiction, self-regulation with Internet addiction and self-regulation with quality of life were not significant (α>05). Also, the indirect effect of self-efficacy on Internet addiction through the mediation of quality of life was confirmed (α<0.05) and the indirect effect of self-regulation on Internet addiction through the mediation of quality of life was rejected (α>0.05). Conclusion Quality of life and self-efficacy play a key role.

The purpose of this research was to determine the role of religious identity in predicting Internet addiction and drug addiction. The method of this research was applied in terms of objective, quantitative in terms of data type, and correlational in terms of the nature of descriptive research. The statistical population of this research included 870 female students of the second year of high school in Tehran campus in 1400, based on Cochran's formula and stratified cluster random sampling method, 267 people were selected as the sample size. In this research, in order to collect data, the standard questionnaires of Khashawi's religious identity (1300), Yang's Internet addiction (1669) and drug addiction of Mousavi et al. (1378) were used. It should be noted that Cronbach's alpha coefficient was used to calculate the validity of the content validity and to calculate the reliability, the results indicated the validity and reliability of the instrument. In order to analyze the data, descriptive statistics (mean, standard deviation, percentage, frequency, table and graph) and inferential statistics (Pearson's correlation) and multiple regression were used with SPSS version 21 software. The findings showed that religious identity has the ability to predict Internet addiction, and the beta coefficient was -0.65. Also, the findings showed that religious identity has the ability to predict drug addiction, and the beta coefficient was -0.16. Finally, it can be said that the dimensions of religious identity, including religious beliefs, religious emotions and feelings, and religious behaviors have the ability to predict Internet addiction and drug addiction.

The current research aimed to predict the Cyberchondria and anxiety of COVID-19 based on internet addiction in the COVID-19 pandemic in the households of Marvdasht city. According to the purpose of this research, it was a basic research type, and with a descriptive research design. The statistical population of households in Marvdasht city was 100 people, who were selected by the convenience sampling method. The research tools were Alipour et al.'s Corona Virus Anxiety Scale (2019), Mehdi Reza Sarafaraz et al.'s Cyberchondria Severity Scale (2020), and Young's Internet Addiction Test (1998) by Kimberly Young. The data were analyzed using SPSS software. After collecting and extracting the data, the scores of the participants were analyzed using Pearson's correlation coefficient and regression. The results of Pearson's correlation coefficient show that there is a positive and significant relationship between Cyberchondria and Internet addiction, and no significant relationship was found between the anxiety of COVID-19 and Internet addiction. Also, the regression results showed that Internet addiction was a significant predictor of Cyberchondria. As a result, people who deal with the Internet more than others, such as people who suffer from Internet addiction disorder and spend many hours on the Internet. More than other people, seek to solve their problems, including medical problems, through the information available on the Internet, which increases their risk of Cyberchondria and a positive and meaningful correlation between Internet addiction and Cyberchondria.

Smartphones with internet access have replaced computers, become an integral part of life and make life easier. But along with these positive features, there are also various negative effects. Therefore, the use of smartphones can also be problematic. The present study was conducted with the aim of developing a model of symptoms of nomophobia in students based on attachment style, media literacy and locus of control with the mediation of Internet addiction.

The method of this study was correlational. The statistical population of this study was the male students of the first public high school in Qom city. 306 people were selected using cluster random sampling method. The data collection tools were Yildirim and Correa's Nomophobia Questionnaire (2015), Hazan and Shaver's Adult Attachment Questionnaire (1987), Falsafi Media Literacy Questionnaire (2013), Rutter's Locus of Control Questionnaire (1966) and Young's Internet Addiction Questionnaire (1999). Data analysis was done using structural equation modeling method and Lisrel software.

The results showed that the model of symptoms of nomophobia in students based on attachment style, media literacy and locus of control with the mediation of Internet addiction fits experimental data (P<0.05).

It is recommended to design and implement intervention programs in schools for adolescents in the most vulnerable populations who face the adverse effects of using smartphones, especially nomophobic behavior.