Works matching IS 20089058 AND DT 2019 AND VI 10 AND IP 4


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    Prediction of Job Stress Based on Psychological Capital and Job Performance in Nurses of Kermanshah Hospitals Bita Shalani11, Akram Abbariki*2, Saeid Sadeghi3 Abstract Background and Objectives: Job stress in nursing is one of the most important issues of this century. Many of the studies have addressed the factors linked with this variable. The aim of this study was to predict nurses' job stress based on psychological capital and job performance. Material and Methods: This descriptive-correlation study population consisted of all nurses in the city of Kermanshah in (2016) and 152 nurses were selected by convenience sampling method. To collect the data, job stress, psychological capital and job performance Paterson questionnaire was used. To analyze the data, Pearson correlation and regression were applied using SPSS version 22 statistical software. Results: The relationship between psychological capital and job stress (P<0.05) and psychological capital and job performance (P<0.001) was significant. The overall model showed that these two variables together are able to predict job stress (P<0.05) and psychological capital alone is able to predict job stress (P<0/05: β=-0/19), while job performance alone does not have the ability to predict job stress (P>0.05: β=-0.03). Conclusion: Based on these findings, nurses who have rich psychological capital, experience lower stress. 1. Department of Psychology, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran 2. Department of Psychology, Faculty of Social Science, Razi University, Kermanshah, Iran (Email: Abbariki.akram1992@gmail.com) 3. Department of Clinical & Health Psychology, Faculty of Psychology and Education, Shahid Beheshti University, Tehran, Iran © 2020 The Author(s). This work is published by Depiction of Health as an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the

    Published in:
    Depiction of Health, 2019, v. 10, n. 4, p. 280
    By:
    • بیتا شلانی;
    • اکرم آبباریکی;
    • سعید صادقی
    Publication type:
    Article
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