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The use of 12-item General Health Questionnaire (GHQ-12) in Ukrainian refugees: translation and validation study of the Ukrainian version. | LitMetric

AI Article Synopsis

  • - The study investigates the mental health of Ukrainian refugees in Italy after the Russian-Ukrainian conflict by testing the Ukrainian version of the General Health Questionnaire 12 (GHQ-12).
  • - A total of 141 refugees completed the questionnaire, revealing that 68.8% exhibited signs of psychological distress, with high reliability indicated by a Cronbach's coefficient of 0.84.
  • - The analysis confirmed that both one-factor and two-factor models of the GHQ-12 are valid, and it showed a significant correlation with trauma scores, demonstrating the instrument's effectiveness in assessing the well-being of this population.

Article Abstract

Following the Russian-Ukrainian conflict, the well-being of millions of Ukrainians has been jeopardised. This study aims to translate and test the psychometric features of the Ukrainian version of the General Health Questionnaire 12 (GHQ-12). The study included Ukrainian refugees housed in Verona (Italy) between November/2022 and February/2023. The Ukrainian translation was obtained through a 'forward-backward' translation. Questionnaire was completed by 141 refugees (females: 78.7%). Median age was 36 years (IQR 23-43). Individuals with a score suggestive of psychological distress were 97 (68.8%). Cronbach's coefficient was 0.84 (0.95CI 0.80-0.88). According to confirmatory factor analysis, both single- (modelB1) and two-factor (model B2) structures with bimodal scoring method fitted the data satisfactorily. The two factors of model B2 had a 0.88 correlation. Pearson coefficient showed a positive significant correlation between the GHQ-12 and International Trauma Questionnaire scores (ρ = 0.53, 0.95CI 0.40-0.64, p < 0.001). The GHQ-12 Ukrainian translation showed good psychometric features being a reliable and valid instrument to assess Ukrainian refugees' general well-being.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10788012PMC
http://dx.doi.org/10.1186/s12955-024-02226-1DOI Listing

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