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Information Journal Paper

Title

PREDICTING VULNERABILITY TO STRESS BASED ON SOCIAL SUPPORT AND PERSONALITY TRAITS

Pages

  194-199

Abstract

 Background and purpose: Stress results from a specific event, situation, or transition that directly or indirectly threatens every one and prompts coping responses. The aim of this study was to investigate the variables of SOCIAL SUPPORT and PERSONALITY TRAITS as predictors of VULNERABILITY TO STRESS in university students.Material and Methods: A descriptive-correlational study was designed in which all the students of Kharazmi, Islamic Azad and Payam Noor universities of Karaj in 2012-2013 academic year. Among the students 375 cases were selected through multi stage cluster sampling. Data was collected using Stress Syndrome Scale (SSI), Tests of SOCIAL SUPPORT (SS-A) and the Five Factor Personality Inventory (NEOFFI). Data was analyzed using multiple regression method in SPSS V. 18.Results: The variables of SOCIAL SUPPORT and PERSONALITY TRAITS predicted 47.2% VULNERABILITY TO STRESS.Conclusion: The variables of SOCIAL SUPPORT and PERSONALITY TRAITS can predict VULNERABILITY TO STRESS, so managing these factors could be of great benefit in reducing vulnerability of people to stress.

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    APA: Copy

    DAVARNIYA, REZA, SHAKARAMI, MOHAMMAD, & EZAZI BOJNOURDI, ELMIRA. (2014). PREDICTING VULNERABILITY TO STRESS BASED ON SOCIAL SUPPORT AND PERSONALITY TRAITS. JOURNAL OF MAZANDARAN UNIVERSITY OF MEDICAL SCIENCES, 24(113), 194-199. SID. https://sid.ir/paper/45321/en

    Vancouver: Copy

    DAVARNIYA REZA, SHAKARAMI MOHAMMAD, EZAZI BOJNOURDI ELMIRA. PREDICTING VULNERABILITY TO STRESS BASED ON SOCIAL SUPPORT AND PERSONALITY TRAITS. JOURNAL OF MAZANDARAN UNIVERSITY OF MEDICAL SCIENCES[Internet]. 2014;24(113):194-199. Available from: https://sid.ir/paper/45321/en

    IEEE: Copy

    REZA DAVARNIYA, MOHAMMAD SHAKARAMI, and ELMIRA EZAZI BOJNOURDI, “PREDICTING VULNERABILITY TO STRESS BASED ON SOCIAL SUPPORT AND PERSONALITY TRAITS,” JOURNAL OF MAZANDARAN UNIVERSITY OF MEDICAL SCIENCES, vol. 24, no. 113, pp. 194–199, 2014, [Online]. Available: https://sid.ir/paper/45321/en

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