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      <dc:title>Psychological distress among the unemployed: Do core self-evaluations and emotional intelligence help to minimize the psychological costs of unemployment?</dc:title>
      <dc:creator>Peláez-Fernández, María Ángeles</dc:creator>
      <dc:creator>Rey-Peña, Lourdes</dc:creator>
      <dc:creator>Extremera-Pacheco, Natalio</dc:creator>
      <dc:subject>Desempleo - Aspectos psicológicos</dc:subject>
      <dc:subject>Estrés (Psicología)</dc:subject>
      <dc:subject>Angustia</dc:subject>
      <dc:description>Despite the limitations, our study provides promising empirical evidence for the interactive effects of EI and CSE in increasing&#xd;
well-being during unemployment. In addition, if future researchers replicate these findings, such would shed light on promoting a positive psychology model of prevention, including positive self-regard and EI abilities, and this would be a promising way to promote positive mental health to help people better cope with hindrances, such as employment difficulties and other key stressors and challenges during unemployment</dc:description>
      <dc:description>Background: Past research has shown that emotional intelligence (EI) and core self-evaluations (CSE) have a&#xd;
unique and independent role in the prediction of psychological maladjustment in the unemployed population.&#xd;
However, no one to date has examined the joint contribution of EI and CSE in predicting well-being and psychological distress among the unemployed. Our objective was to examine the main and interactive role of EI and&#xd;
CSE in the prediction of indicators for happiness, depression, stress, and anxiety beyond socio-demographics&#xd;
variables.&#xd;
Methods: A sample of 1796 unemployed participants completed a battery that included socio-demographic data&#xd;
and questionnaires of EI, CSE, happiness, depression, stress, and anxiety. We processed the data with SPSS and&#xd;
Hayes PROCESS macro.&#xd;
Results: Pearson correlation analyses showed significant associations between EI and CSE with different mental&#xd;
health outcomes. Moderation analyses revealed that, beyond the main effects, the interactive term EI × CSE&#xd;
increased the explained variance of the prediction of happiness, but not of depression, anxiety, or stress.&#xd;
Limitations: The study comprised an incidental non-clinical sample of unemployed adults, so the results might&#xd;
not generalize to a clinical population. Also, the study was cross-sectional, and we relied only on self-report&#xd;
measures, which do not allow for establishing causal links and might include biases, such as social desirability&#xd;
and common method variance.&#xd;
Conclusions: These findings highlight the need for developing more comprehensive models including the interaction of EI and dispositional traits as contributing factors in the prediction of positive outcomes among the&#xd;
unemployed. Also, future promotion programs should include dimensions related to EI and CSE for increasing&#xd;
well-being during unemployment</dc:description>
      <dc:date>2024-01-09T07:27:40Z</dc:date>
      <dc:date>2024-01-09T07:27:40Z</dc:date>
      <dc:date>2023-12-26</dc:date>
      <dc:date>2019-07-20</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Peláez-Fernández, M.A., Rey, L., &amp; Extremera, N. (2019). Psychological distress among the unemployed: Do core self-evaluations and emotional intelligence help to minimize the psychological costs of unemployment?. Journal of Affective Disorders, 256, 627-632</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10630/28519</dc:identifier>
      <dc:identifier>https://doi.org/10.1016/j.jad.2019.06.042</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>open access</dc:rights>
      <dc:publisher>Elsevier</dc:publisher>
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