جستجوی مقالات مرتبط با کلیدواژه « smartphone addiction » در نشریات گروه « روانشناسی »

The present study aimed to investigate the influence of metacognitive beliefs on the relationship between the dark triad of personality and smartphone addiction among universities students. The research method was descriptive-correlational using structural equation modeling. The statistical population consisted of all universities students with the age range of 18-35 years in Tehran city in 2023. A sample of 457 students was selected using the voluntarily sampling method, and responded to the Dirty Dozen Scale, the Metacognitive Beliefs Questionnaire, and the Smartphone Addiction Scale. Pearson’s correlation method and structural equation modeling were used for the statistical data analysis. The results showed that the dark triad of personality had a positive and significant relationship with smartphone addiction, and metacognitive beliefs mediated this relationship significantly. The research findings emphasizing the importance of metacognition in conjunction with dark personality traits showed that metacognitive beliefs played a fundamental role in the tendency to become addicted to smartphones. Therefore, it is suggested that designing interventions based on metacognition should be considered in the treatment of smartphone addiction.

The purpose of this study was to investigate the meaning of life as a mediator between interpersonal alienation and smartphone addiction in the COVID-19 pandemic among students in Bandar Abbas City. The descriptive-correlational research method was structural equation modeling. The statistical population of the research included all male and female students studying at Bandar Abbas Azad University in the academic year 2021-2022, of which 378 were selected and studied using a purposive sampling method. The meaning of life questionnaire (Steger et al., 2006, MLQ), interpersonal alienation (Bani Fatemeh et al., 2013, SAQ), and smartphone addiction scale (Ko, 2009, SAS) were used to collect data. The data was analyzed by structural equation analysis method. The research findings showed that there is a significant direct effect of interpersonal alienation on smartphone addiction (P<0.05). Also, the meaning of life has a direct and significant effect on smartphone addiction (P<0.05). Also, the results showed that interpersonal alienation has an indirect effect on smartphone addiction through the mediation of the meaning of life. The final model also had a good fit. Therefore, it can be concluded that to reduce smartphone addiction, one should focus on the meaning of life and reduce interpersonal alienation.

The aim of the current research is to investigate the structural relationship between emotional schemas and experiential avoidance of self-harm behaviors with the mediating role of smartphone addiction. The study was of the type of correlation and analysis of the path and society of all women and men between the ages of 13 and 30 living in the city of Ahvaz between August and October of 2021, from which a sample of 250 people was selected using the available sampling method. The research tools included The Self-Harm Inventory (SHI, Sanson, et al., 1998), the Mobile Phone Addiction questionnaire (Savari, 2012), the Inventory of Sensation Seeking (AISS, Arnett, 1994), and the Leahy Emotional Schema Scale (LESS, Leahy, 2002). The research findings showed that all path coefficients related to the final model and direct and indirect effects (except the path of adaptive emotional schemas to self-harm behaviors) are significant at the P≤0.05 level, and the model had an optimal fit. It can be concluded that emotional schema and experiential avoidance through smartphone addiction cause self-harm behaviors in individuals.

In recent years, many attempts have been made to study phenomena such as book / reading addiction, television addiction, excessive use of computer games, and more recently, Internet game disorder and its related term, Internet addiction, but the subject of Smartphone addiction is a new topic in the early stages of theorizing. The purpose of this study is to develop a model of smartphone addiction. In this research, the qualitative method of data theorizing of the foundation (grounded theory) has been used. To identify and define the concepts related to smartphone addiction, domestic and foreign research literature in this field was reviewed during the last 20 years (2000-2020). In the open coding stage, 127 concepts were extracted and classified into 28 categories and 9 macro categories. In axial coding, smartphone addiction is the main phenomenon and the central processes (include biological, psychological, motivational, emotional and social processes), the causal conditions for the emergence of smartphone addiction. Structural factors can be presented as contextual factors and individual-environmental factors as intervention conditions around this model. User strategies, model strategy and functional damages, consequences and final output of smartphone addiction are considered. In the selective coding stage, a detailed model of smartphone addiction was presented. Finally, research suggestions and strategies to prevent smartphone addiction were presented.

The purpose of this study was to compare the effectiveness of quality of life Therapy and Dialectical Behavior Therapy in the loneliness of students with addiction to smartphones. Therefore, among female undergraduate psychology students of Islamic Azad University, Tabriz Branch, 45 people were purposefully selected according to cutoff score on the Smart Phone Addiction Scale (SAS) and were randomly assigned to two experimental groups and one control group (15 subjects in each group). Pretest was administered by lonliness scale in the study groups. Then, subjects in the experimental groups received 8 sessions of two hours training on quality of life therapy and Dialectical Behavioral Therapy, however,  the control group received no training. At the last session, the loneliness scale was again administered to all three groups. Results of univariate analysis of covariance showed that compared to Dialectical Behavioral Therapy, quality of life therapy was more effective in reducing loneliness (p < 0/01).

Increased use of smartphones is an emerging crisis. So, the present study focused on the developing a psychotherapy protocol based on cognitive-behavioral approach and its effectiveness on treatment of smartphone addiction loneliness and emotional regulation.

The first section of the present study is allocated to designing a therapeutic protocol based on cognitive-behavioral approach. Then, according to a quasi-experimental research design, 30 girl adolescents who were diagnosed with smartphone addiction were selected by a convenience sampling method and randomly divided into experimental and control groups. Experimental group received 8 sessions of psychotherapy. Smartphone Addiction Scale-Short Form (SAS-SV(, Emotional Regulation Questionnaire (ERQ( and UCLA Revised Loneliness Scale were applied as research tools. Analysis of covariance (ANCOVA) and multivariate analysis of covariance (MANCOVA) were used to analyze the data.

The findings showed that cognitive-behavioral therapy in addition to the treatment of smartphone addiction has led to a significant decrease in loneliness and improved emotional regulation skills.

The therapeutic intervention based on cognitive-behavioral approach can be considered as an effective treatment strategy in treatment of smartphone addiction and also is able to reduce loneliness and increase emotion regulation.

The aim of the present study was to investigate the relationship between body image dissatisfaction and alexithymia with smartphone addiction in adolescents. The present study was descriptive-correlational. The statistical population of the study included all male and female students of the second secondary school in the 3rd district of Tabriz in the academic year of 1398-99. A sample of 150 people was selected by multistage cluster sampling. The smartphone addiction scale (SAS)(Cowan et al., 2013), Toronto Alexithymia Scale (TAS-20) (Begby et al., 1994) and Body Image Concern Inventory (BICI) (Littleleton et al., 2005) were used to gather information. Data were analyzed using multiple correlation and regression methods using SPSS-23 software. The results showed that there was a significant positive relationship between alexithymia and body image dissatisfaction with smartphone addiction (p <0.01). Standard beta coefficients also showed that alexithymia (β=0.47) and body image dissatisfaction (β=0.31) were able to predict smartphone addiction. Finally, it can be concluded that dissatisfaction with body image and alexithymia are among the variables associated with smartphone addiction and have the ability to predict it.

The present study aimed to investigate the role of depression, identity diffusion, and fear of missing out in predicting smartphone addiction among adolescents in Tehran. The research was a cross-sectional correlational study. 382 high school students in Tehran were selected using convenient sampling method and completed the short form of Smartphone Addiction Scale (Kwon, Kim, Cho & Yang, 2013), Fear of Missing Out Scale (Abel, Buff & Burr, 2016), Kutcher Adolescent Depression Scale (LeBlanc, Almudevar, Brooks &Kutcher, 2002) and Erikson Psychosocial stage Inventory (Rosenthal, Gurney & moore, 1981). The data were analyzed using Pearson correlation and stepwise multiple regression. The findings showed that all three predictor variables including depression, fear of missing out, and identity diffusion could significantly predict smartphone addiction among adolescents and account for 24 percent of the variance in smartphone addiction among adolescents. Based on these findings preventive programs can be designed not only to reduce depression, fear of missing out, and identity diffusion but also to reduce smartphone addiction among adolescents.