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Development and validation of an inventory to measure stressful events: Findings from a population-based survey.
Tavangar, Fateh; Rafiey, Hassan; Noorbala, Ahmad Ali; Nosrati Nejad, Farhad; Ghaedamini Harouni, Gholamreza; Ghiasvand, Hesam; Alipour, Fardin; Ahmadi, Sina.
Afiliação
  • Tavangar F; Department of Social Welfare Management, University of Social Welfare and Rehabilitation Science, Tehran, Iran.
  • Rafiey H; Social Welfare Management Research Center, University of Social Welfare and Rehabilitation Science, Tehran, Iran.
  • Noorbala AA; Department of Social Welfare Management, University of Social Welfare and Rehabilitation Science, Tehran, Iran.
  • Nosrati Nejad F; Social Welfare Management Research Center, University of Social Welfare and Rehabilitation Science, Tehran, Iran.
  • Ghaedamini Harouni G; Psychosomatic Medicine Research Center, Tehran University of Medical Science, Tehran, Iran.
  • Ghiasvand H; Social Determinants of Health Research Center, University of Social Welfare and Rehabilitation Science, Tehran, Iran.
  • Alipour F; Department of Social Welfare Management, University of Social Welfare and Rehabilitation Science, Tehran, Iran.
  • Ahmadi S; Social Welfare Management Research Center, University of Social Welfare and Rehabilitation Science, Tehran, Iran.
Med J Islam Repub Iran ; 34: 48, 2020.
Article em En | MEDLINE | ID: mdl-32884923
ABSTRACT

Background:

Development of tools for measuring stress has been considered by mental health researchers for many years. The purpose of this study was to develop and validate a "Stressful Events Inventory"(SEI) using exploratory and confirmatory factor analyses.

Methods:

Using a representative sample (n=6000) from all people who reside in Tehran, the validity of the inventory was confirmed by exploratory and confirmatory factor analyses, and its reliability was also confirmed by Cronbach's alpha.

Results:

Eleven major sets of stressful events were identified as follow political problems (α=0.731), neighborhood's problems (α=0.739), livelihood problems (α=0.609), fear of the future (α=0.663), educational events (α=0.635), educational changes (α=0.704), individual changes (α=0.463), occupational difficulties (α=0.64), housing problems (α=0.69), problems related to occupational relations (α=0.46), and family problems (α=0.69). The value of correlation between the factors was equal to 0.82 and the value of variance determined by these factors was 0.49 (r^2=0.49). In the confirmatory factor analysis, these factors also had an appropriate fitness (RMSEA=0.02).

Conclusion:

The developed instrument has suitable psychometric properties, which make it appropriate for future research on psychosocial stress.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article