Predicting Internet Addiction in Medical Students by General Self-efficacy, Difficulty in Emotion Regulation, and Resilience

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Salek Ebrahimi Leila; AHMADI GHOLAMREZA; MASJEDI ARANI ABBAS; MOUSAVI SEYEDEH ELNAZ

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Practice in Clinical Psychology Year:2019 | Volume:7 | Issue:3 Page(s): 167-173

Download Full-Text

View:

275

Download:

136

Cites:

Information Journal Paper

Title

Predicting Internet Addiction in Medical Students by General Self-efficacy, Difficulty in Emotion Regulation, and Resilience

Author(s)

Salek Ebrahimi Leila | AHMADI GHOLAMREZA | MASJEDI ARANI ABBAS | MOUSAVI SEYEDEH ELNAZ | Issue Writer Certificate

Keywords

Internet

Emotion

Social control

Self-efficacy

Abstract

Objective: The present study aimed to predict Internet addiction based on general Self-efficacy, difficulty in Emotion regulation, and resilience in medical students. Methods: This was a cross-sectional study. The statistical population included all medical students of Shahid Beheshti University of Medical Sciences. The research sample consisted of 96 medical students selected by random sampling method in 2018. Data collection was performed by Sherer General Self-efficacy Scale, Gramat’ s and Roemer’ s Difficulties in Emotion Regulation Scale, Connor– Davidson Resilience Scale, and Young’ s Internet Addiction test. Results: To analyze the obtained data, Pearson’ s correlation coefficient and the stepwise regression model were used. The obtained results suggested a significant relationship between Internet addiction and general Self-efficacy, difficulty in Emotion regulation, and resiliency (P<0. 05). Additionally, general Self-efficacy, difficulty in Emotion regulation, and resilience are able to predict 27% of Internet addiction variance in medical students. Conclusion: To prevent and reduce the harm of Internet addiction in students in stressful events, they should be trained to improve their resilience, Self-efficacy, and Emotion regulation skills.

Cites

No record.

References

Cite

APA: Copy

Salek Ebrahimi, Leila, AHMADI, GHOLAMREZA, MASJEDI ARANI, ABBAS, & MOUSAVI, SEYEDEH ELNAZ. (2019). Predicting Internet Addiction in Medical Students by General Self-efficacy, Difficulty in Emotion Regulation, and Resilience. PRACTICE IN CLINICAL PSYCHOLOGY, 7(3), 167-173. SID. https://sid.ir/paper/345986/en

Vancouver: Copy

Salek Ebrahimi Leila, AHMADI GHOLAMREZA, MASJEDI ARANI ABBAS, MOUSAVI SEYEDEH ELNAZ. Predicting Internet Addiction in Medical Students by General Self-efficacy, Difficulty in Emotion Regulation, and Resilience. PRACTICE IN CLINICAL PSYCHOLOGY[Internet]. 2019;7(3):167-173. Available from: https://sid.ir/paper/345986/en

IEEE: Copy

Leila Salek Ebrahimi, GHOLAMREZA AHMADI, ABBAS MASJEDI ARANI, and SEYEDEH ELNAZ MOUSAVI, “Predicting Internet Addiction in Medical Students by General Self-efficacy, Difficulty in Emotion Regulation, and Resilience,” PRACTICE IN CLINICAL PSYCHOLOGY, vol. 7, no. 3, pp. 167–173, 2019, [Online]. Available: https://sid.ir/paper/345986/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops