Measuring mental well-being in Norway: validation of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS)
Abstract Background Mental well-being is an important, yet understudied, area of research, partly due to lack of appropriate population-based measures. The Warwick-Edinburgh Mental Well-being Scale (WEMWBS) was developed to meet the needs for such a measure. This article assesses the psychometric pr...
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doaj-daf391410c604b23aacfa35800a51f132020-11-24T23:28:19ZengBMCBMC Psychiatry1471-244X2017-05-011711910.1186/s12888-017-1343-xMeasuring mental well-being in Norway: validation of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS)Otto R. F. Smith0Daniele E. Alves1Marit Knapstad2Ellen Haug3Leif E. Aarø4Department of Health Promotion, Norwegian Institute of Public HealthWork Research Institute, Oslo and Akershus University of Applied SciencesDepartment of Health Promotion, Norwegian Institute of Public HealthDepartment of Health Promotion and Development, Faculty of Psychology, University of BergenDepartment of Health Promotion, Norwegian Institute of Public HealthAbstract Background Mental well-being is an important, yet understudied, area of research, partly due to lack of appropriate population-based measures. The Warwick-Edinburgh Mental Well-being Scale (WEMWBS) was developed to meet the needs for such a measure. This article assesses the psychometric properties of the Norwegian version of the WEMWBS, and its short-version (SWEMWBS) among a sample of primary health care patients who participated in the evaluation of Prompt Mental Health Care (PMHC), a novel Norwegian mental health care program aimed to increase access to treatment for anxiety and depression. Methods Forward and back-translations were conducted, and 1168 patients filled out an electronic survey including the WEMWBS, and other mental health scales. The original dataset was randomly divided into a training sample (≈70%) and a validation sample (≈30%). Parallel analysis and confirmatory factor analysis were carried out to assess construct validity and precision. The final models were cross-validated in the validation sample by specifying a model with fixed parameters based on the estimates from the trainings set. Criterion validity and measurement invariance of the (S)WEMWBS were examined as well. Results Support was found for the single factor hypothesis in both scales, but similar to previous studies, only after a number of residuals were allowed to correlate (WEMWBS: CFI = 0.99; RMSEA = 0.06, SWEMWBS: CFI = .99; RMSEA = 0.06). Further analyses showed that the correlated residuals did not alter the meaning of the underlying construct and did not substantially affect the associations with other variables. Precision was high for both versions of the WEMWBS (>.80), and scalar measurement invariance was obtained for gender and age group. The final measurement models displayed adequate fit statistics in the validation sample as well. Correlations with other mental health scales were largely in line with expectations. No statistically significant differences were found in mean latent (S)WEMWBS scores for age and gender. Conclusion Both WEMWBS scales appear to be valid and precise instruments to measure mental well-being in primary health care patients. The results encourage the use of mental well-being as an outcome in future epidemiological, clinical, and evaluation studies, and may as such be valuable for both research and public health practice.http://link.springer.com/article/10.1186/s12888-017-1343-xMental well-beingmental healthpublic healthmeasurement |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Otto R. F. Smith Daniele E. Alves Marit Knapstad Ellen Haug Leif E. Aarø |
spellingShingle |
Otto R. F. Smith Daniele E. Alves Marit Knapstad Ellen Haug Leif E. Aarø Measuring mental well-being in Norway: validation of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS) BMC Psychiatry Mental well-being mental health public health measurement |
author_facet |
Otto R. F. Smith Daniele E. Alves Marit Knapstad Ellen Haug Leif E. Aarø |
author_sort |
Otto R. F. Smith |
title |
Measuring mental well-being in Norway: validation of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS) |
title_short |
Measuring mental well-being in Norway: validation of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS) |
title_full |
Measuring mental well-being in Norway: validation of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS) |
title_fullStr |
Measuring mental well-being in Norway: validation of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS) |
title_full_unstemmed |
Measuring mental well-being in Norway: validation of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS) |
title_sort |
measuring mental well-being in norway: validation of the warwick-edinburgh mental well-being scale (wemwbs) |
publisher |
BMC |
series |
BMC Psychiatry |
issn |
1471-244X |
publishDate |
2017-05-01 |
description |
Abstract Background Mental well-being is an important, yet understudied, area of research, partly due to lack of appropriate population-based measures. The Warwick-Edinburgh Mental Well-being Scale (WEMWBS) was developed to meet the needs for such a measure. This article assesses the psychometric properties of the Norwegian version of the WEMWBS, and its short-version (SWEMWBS) among a sample of primary health care patients who participated in the evaluation of Prompt Mental Health Care (PMHC), a novel Norwegian mental health care program aimed to increase access to treatment for anxiety and depression. Methods Forward and back-translations were conducted, and 1168 patients filled out an electronic survey including the WEMWBS, and other mental health scales. The original dataset was randomly divided into a training sample (≈70%) and a validation sample (≈30%). Parallel analysis and confirmatory factor analysis were carried out to assess construct validity and precision. The final models were cross-validated in the validation sample by specifying a model with fixed parameters based on the estimates from the trainings set. Criterion validity and measurement invariance of the (S)WEMWBS were examined as well. Results Support was found for the single factor hypothesis in both scales, but similar to previous studies, only after a number of residuals were allowed to correlate (WEMWBS: CFI = 0.99; RMSEA = 0.06, SWEMWBS: CFI = .99; RMSEA = 0.06). Further analyses showed that the correlated residuals did not alter the meaning of the underlying construct and did not substantially affect the associations with other variables. Precision was high for both versions of the WEMWBS (>.80), and scalar measurement invariance was obtained for gender and age group. The final measurement models displayed adequate fit statistics in the validation sample as well. Correlations with other mental health scales were largely in line with expectations. No statistically significant differences were found in mean latent (S)WEMWBS scores for age and gender. Conclusion Both WEMWBS scales appear to be valid and precise instruments to measure mental well-being in primary health care patients. The results encourage the use of mental well-being as an outcome in future epidemiological, clinical, and evaluation studies, and may as such be valuable for both research and public health practice. |
topic |
Mental well-being mental health public health measurement |
url |
http://link.springer.com/article/10.1186/s12888-017-1343-x |
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