Background: Psychological characteristics affect the quality of life. This study aimed at determining the relationship between personal characteristics, internal locus of control , psychological hardiness and nurses' quality of life. Methods: In this correlation study, 297 nurses were selected based on Curgesy and Morgan table via multistage cluster sampling among 1023 nurses of the public hospitals of the Urmia city in the year 2015. All of them filled out the questionnaires of personality characteristics (including neuroticism, extroversion, openness, agreeableness, and conscientiousness), internal locus of control, psychological hardiness and quality of life. The data was analyzed by correlation and multiple regression methods with stepby-step model. Results:The findings showed a significant negative relationship between neuroticism and the nurses' quality of life. Furthermore , there was a positive correlation between extroversion, openness, agreeableness , conscientiousness , internal locus of control, psychological hardiness and their quality of life. Among the predictor variables, psychological hardiness, neuroticism, internal locus of control and openness could meaningfully predict 64.7% of the changes of nurses' quality of life. (P<0.01). Conclusion: According to the results, by increasing the psychological hardiness, internal locus of control and openness and by decreasing the neuroticism, the nurses' quality of life could be increased.

Background:This study aimed at comparing the profile and personality traits of compulsive/heavy Internet users with that of average users. Methods: This study employed the causal-comparative research design. The population of the study consisted of 9800 students of Islamic Azad University, Urmia Branch, out of which 189 male students were selected through multistage cluster sampling. The selected sample responded to Young's Internet dependency test, the NEO five-factor inventory (NEO-FFI) as well as the Minnesota multiphasic personality inventory (MMPI). The data was analyzed by means of multivariate analysis of variance (MANOVA). Results:The results indicate that compulsive/heavy Internet users that underwent psychological profile measurement, using MMPI, obtained significantly higher scores in hypochondriasis, depression, hysteria, psychasthenia and schizophrenia, yet they obtained lower scores in hypomania. Moreover, it was shown that compulsive/heavy Internet users compared with average Internet users obtained higher scores in personality traits, such as extraversion and neurosis yet lower scores in conscientiousness and agreeableness. Conclusions: The profile and personality traits of compulsive/heavy Internet users compared with that of average users are different in some respects and indicate malevolence in some cases, which justifies addressing these traits.