Dataset Information

Quality of Life: Updated Psychometric Properties and New Norm Values in a Representative German Sample Focusing Socioeconomics and Mental Health.

ABSTRACT: Objectives: Quality of life (QOL) is increasingly used as indicator in health research. The aim of this paper was an updated psychometric validation and a new standardization of the German version of the EUROHIS-QOL using a sample of the German general population assessed in 2021. The study focused on socio-economic characteristics and on anxiety and depressiveness as major indicators of mental health. Methods: With 8 items, the EUROHIS-QOL is an economical instrument for self-assessment. Results: Statistical tests revealed good psychometric properties. Gender- and age-group-specific norm values were calculated. The EUROHIS-QOL showed good discriminant validity for anxiety and depression symptoms. Participants without clinically relevant scores for depressiveness and anxiety reported significantly higher QOL. Multiple regression analysis showed that unemployment, younger age, not living with a partner, and an immigrant background were important predictors of lower QOL, whereas higher income, living in one's own home, and a high level of education predicted higher QOL. Conclusion: The EUROHIS-QOL was confirmed as an economical and reliable instrument for assessing QOL in the German general population.

SUBMITTER: Hettich N

PROVIDER: S-EPMC9579288 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Quality of Life: Updated Psychometric Properties and New Norm Values in a Representative German Sample Focusing Socioeconomics and Mental Health.

Hettich Nora N Beutel Manfred E ME Krakau Lina L Braehler Elmar E

International journal of public health 20221005

<b>Objectives:</b> Quality of life (QOL) is increasingly used as indicator in health research. The aim of this paper was an updated psychometric validation and a new standardization of the German version of the EUROHIS-QOL using a sample of the German general population assessed in 2021. The study focused on socio-economic characteristics and on anxiety and depressiveness as major indicators of mental health. <b>Methods:</b> With 8 items, the EUROHIS-QOL is an economical instrument for self-asse ...[more]

PMID: 36275430

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Project description:BackgroundThe Beck Hopelessness Scale (BHS) has been the most frequently used instrument for the measurement of hopelessness in the past 40 years. Only recently has it officially been translated into German. The psychometric properties and factor structure of the BHS have been cause for intensive debate in the past.MethodsBased on a representative sample of the German population (N = 2450) item analysis including item sensitivity, item-total correlation and item difficulty was performed. Confirmatory factor analyses (CFA) for several factor solutions from the literature were performed. Multiple group factor analysis was performed to assess measurement invariance. Construct validity was assessed via the replication of well-established correlations with concurrently assessed measures.ResultsMost items exhibited adequate properties. Items #4, #8 and #13 exhibited poor item characteristics- each of these items had previously received negative evaluations in international studies. A one-dimensional factor solution, favorable for the calculation and interpretation of a sum score, was regarded as adequate. A bi-factor model with one content factor and two method factors (defined by positive/negative item coding) resulted in an excellent model fit. Cronbach's alpha in the current sample was .87. Hopelessness, as measured by the BHS, significantly correlated in the expected direction with suicidal ideation (r = .36), depression (r = .53) and life satisfaction (r = -.53). Strict measurement invariance could be established regarding gender and depression status. Due to limited research regarding the interpretation of fit indices with dichotomous data, interpretation of CFA results needs to remain tentative.ConclusionThe BHS is a valid measure of hopelessness in various subgroups of the general population. Future research could aim at replicating these findings using item response theory and cross-cultural samples. A one-dimensional bi-factor model seems appropriate even in a non-clinical population.

Dataset Information

Quality of Life: Updated Psychometric Properties and New Norm Values in a Representative German Sample Focusing Socioeconomics and Mental Health.

Publications

Quality of Life: Updated Psychometric Properties and New Norm Values in a Representative German Sample Focusing Socioeconomics and Mental Health.

Similar Datasets

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