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The Predictive Value of Personality Traits for Psychological Problems (Stress, Anxiety and Depression): Results from a Large Population Based Study
The current study aimed to determine the prognostic values of personality traits for common psychological problems in a large sample of Iranian adult. In a large sample of healthy people (n = 4763) who lived in Isfahan province; the NEO-FFI was used to assess the personality traits; depression and a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Atlantis Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377556/ https://www.ncbi.nlm.nih.gov/pubmed/30864753 http://dx.doi.org/10.2991/j.jegh.2017.11.003 |
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author | Alizadeh, Zeinab Feizi, Awat Rejali, Mehri Afshar, Hamid Keshteli, Ammar Hassanzadeh Adibi, Peyman |
author_facet | Alizadeh, Zeinab Feizi, Awat Rejali, Mehri Afshar, Hamid Keshteli, Ammar Hassanzadeh Adibi, Peyman |
author_sort | Alizadeh, Zeinab |
collection | PubMed |
description | The current study aimed to determine the prognostic values of personality traits for common psychological problems in a large sample of Iranian adult. In a large sample of healthy people (n = 4763) who lived in Isfahan province; the NEO-FFI was used to assess the personality traits; depression and anxiety were assessed using the “Hospital Anxiety and Depression Scale (HADS)” also stress was measured through Persian validated version of General Health Questionnaire (GHQ-12). Receiver Operating Characteristics Curve (ROC) analysis was used as main statistical method for data analysis. ROC analysis showed neuroticism was the best predictor for all psychological problems with highest area under the curve (AUC) (95% confidence interval) for stress, 0.837 (0.837–0.851), anxiety 0.861 (0.847–0.876) and depression 0.833 (0.820–0.846) (p < .001) and the corresponding cut-off points (sensitivity, specificity), were 21.5 (77%, 66%), 22.5 (81%, 77%) and 20.5 (77%, 74%), respectively .Other personality traits were significant protective factors for being affected with psychological problems (p < .001). Similar findings were observed separately in women and men. The present study showed that the neuroticism is significant risk factor for being affected with three psychological problems while other traits are significant protective factors. Personality traits are useful indices for screening psychological problems and an effective pathway toward prevention in general population. |
format | Online Article Text |
id | pubmed-7377556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Atlantis Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73775562020-07-28 The Predictive Value of Personality Traits for Psychological Problems (Stress, Anxiety and Depression): Results from a Large Population Based Study Alizadeh, Zeinab Feizi, Awat Rejali, Mehri Afshar, Hamid Keshteli, Ammar Hassanzadeh Adibi, Peyman J Epidemiol Glob Health Research Article The current study aimed to determine the prognostic values of personality traits for common psychological problems in a large sample of Iranian adult. In a large sample of healthy people (n = 4763) who lived in Isfahan province; the NEO-FFI was used to assess the personality traits; depression and anxiety were assessed using the “Hospital Anxiety and Depression Scale (HADS)” also stress was measured through Persian validated version of General Health Questionnaire (GHQ-12). Receiver Operating Characteristics Curve (ROC) analysis was used as main statistical method for data analysis. ROC analysis showed neuroticism was the best predictor for all psychological problems with highest area under the curve (AUC) (95% confidence interval) for stress, 0.837 (0.837–0.851), anxiety 0.861 (0.847–0.876) and depression 0.833 (0.820–0.846) (p < .001) and the corresponding cut-off points (sensitivity, specificity), were 21.5 (77%, 66%), 22.5 (81%, 77%) and 20.5 (77%, 74%), respectively .Other personality traits were significant protective factors for being affected with psychological problems (p < .001). Similar findings were observed separately in women and men. The present study showed that the neuroticism is significant risk factor for being affected with three psychological problems while other traits are significant protective factors. Personality traits are useful indices for screening psychological problems and an effective pathway toward prevention in general population. Atlantis Press 2018-12 2018-12 /pmc/articles/PMC7377556/ /pubmed/30864753 http://dx.doi.org/10.2991/j.jegh.2017.11.003 Text en © 2018 Atlantis Press International B.V. This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/). |
spellingShingle | Research Article Alizadeh, Zeinab Feizi, Awat Rejali, Mehri Afshar, Hamid Keshteli, Ammar Hassanzadeh Adibi, Peyman The Predictive Value of Personality Traits for Psychological Problems (Stress, Anxiety and Depression): Results from a Large Population Based Study |
title | The Predictive Value of Personality Traits for Psychological Problems (Stress, Anxiety and Depression): Results from a Large Population Based Study |
title_full | The Predictive Value of Personality Traits for Psychological Problems (Stress, Anxiety and Depression): Results from a Large Population Based Study |
title_fullStr | The Predictive Value of Personality Traits for Psychological Problems (Stress, Anxiety and Depression): Results from a Large Population Based Study |
title_full_unstemmed | The Predictive Value of Personality Traits for Psychological Problems (Stress, Anxiety and Depression): Results from a Large Population Based Study |
title_short | The Predictive Value of Personality Traits for Psychological Problems (Stress, Anxiety and Depression): Results from a Large Population Based Study |
title_sort | predictive value of personality traits for psychological problems (stress, anxiety and depression): results from a large population based study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377556/ https://www.ncbi.nlm.nih.gov/pubmed/30864753 http://dx.doi.org/10.2991/j.jegh.2017.11.003 |
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