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Quality of Life Research

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01-02-2014 | Brief Communication

Psychometric analysis of the Swedish translation of the WHO well-being index

Auteurs: Jesper Löve, Lena Andersson, Crystal Dea Moore, Gunnel Hensing

Gepubliceerd in: Quality of Life Research | Uitgave 1/2014

Abstract

Purpose

The purpose of this study is to validate the Swedish translation of the WHO (Ten) and WHO (Five) Well-Being Questionnaires among three samples of Swedes.

Methods

Baseline data collected in 2008 from the Health Assets Project are the data source consisting of three cohorts of Swedes aged 19–64 years: (1) a randomized general population cohort (n = 4,027); (2) employees sick-listed reported by the employer (n = 3,310); and (3) self-certified sick-listed individuals (n = 498). The psychometric properties of the scales are assessed using factor analysis, Cronbach’s alpha, and examination of the relationship between scale scores and participants’ self-reported adverse health conditions.

Results

Factor analysis revealed a unidimensional factor structure for both scales, and Cronbach’s alphas are very good to excellent. The scales correlate in the expected direction with almost all of the adverse health conditions considered.

Conclusions

The Swedish translation of the WHO (Ten) and WHO (Five) Well-Being Questionnaires is psychometrically sound, but the first item of both scales has weaker psychometric qualities in comparison with other scale items.

vorige artikel Reproducibility study of Overactive Bladder Symptom Score questionnaire and its response to treatment (RESORT) in Korean population with overactive bladder symptoms

volgende artikel The use of focus groups to develop a culturally relevant quality of life tool for lymphatic filariasis in Bangladesh

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Titel: Psychometric analysis of the Swedish translation of the WHO well-being index
Auteurs: Jesper Löve
Lena Andersson
Crystal Dea Moore
Gunnel Hensing
Publicatiedatum: 01-02-2014
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 1/2014
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-013-0447-0

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Abstract

Purpose

Methods

Results

Conclusions

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