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Global mental health: an improved measure of well-being in multiple languages
BACKGROUND: An increasing number of international organisations and national governments have committed to well-being promotion. Unfortunately, important questions regarding how to assess well-being are still unresolved, making policy implementation and evaluation difficult. METHODS: This research e...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7329394/ https://www.ncbi.nlm.nih.gov/pubmed/32605624 http://dx.doi.org/10.1186/s12955-020-01375-3 |
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author | Graeff-Buhl-Nielsen, Sophia Garcia-Garzon, Eduardo Benzerga, Amel Folke, Tomas Ruggeri, Kai |
author_facet | Graeff-Buhl-Nielsen, Sophia Garcia-Garzon, Eduardo Benzerga, Amel Folke, Tomas Ruggeri, Kai |
author_sort | Graeff-Buhl-Nielsen, Sophia |
collection | PubMed |
description | BACKGROUND: An increasing number of international organisations and national governments have committed to well-being promotion. Unfortunately, important questions regarding how to assess well-being are still unresolved, making policy implementation and evaluation difficult. METHODS: This research expanded on Huppert and So’s (Soc Indic Res. 110, 837–861 2013) multidimensional subjective well-being framework by investigating the replicability of the model in two non-European regions (South America, represented by Brazil and Colombia, and Eastern Africa, represented by Uganda), and the United Kingdom. Additionally, previous limitations of the framework were also addressed. ESS Round Six items were crucially improved in terms of temporal and response scale consistency. Bayesian approximate measurement invariance was applied on a sample of 381 young adult participants to test for consistency across countries. RESULTS: The Huppert & So (Soc Indic Res. 110, 837–861 2013) model was found to fairly replicate across non-European regions, where meaningful differences in well-being patterns across regions were observed. Additionally, estimated well-being was related with other well-being measures (Five Ways): Learn and Connect were the strongest predictors of general well-being, with Take Notice and Give being associated with specific aspects of it. CONCLUSIONS: Based on this narrow sample of young adults, it appears the ten-item measure proposed by Huppert & So (Soc Indic Res. 110, 837–861 2013) is useful for assessing population mental health outside of Europe. This is only an initial attempt to assess qualities, so further testing should be done before applying at scale for identifying policy opportunities to address well-being of populations. |
format | Online Article Text |
id | pubmed-7329394 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73293942020-07-02 Global mental health: an improved measure of well-being in multiple languages Graeff-Buhl-Nielsen, Sophia Garcia-Garzon, Eduardo Benzerga, Amel Folke, Tomas Ruggeri, Kai Health Qual Life Outcomes Research BACKGROUND: An increasing number of international organisations and national governments have committed to well-being promotion. Unfortunately, important questions regarding how to assess well-being are still unresolved, making policy implementation and evaluation difficult. METHODS: This research expanded on Huppert and So’s (Soc Indic Res. 110, 837–861 2013) multidimensional subjective well-being framework by investigating the replicability of the model in two non-European regions (South America, represented by Brazil and Colombia, and Eastern Africa, represented by Uganda), and the United Kingdom. Additionally, previous limitations of the framework were also addressed. ESS Round Six items were crucially improved in terms of temporal and response scale consistency. Bayesian approximate measurement invariance was applied on a sample of 381 young adult participants to test for consistency across countries. RESULTS: The Huppert & So (Soc Indic Res. 110, 837–861 2013) model was found to fairly replicate across non-European regions, where meaningful differences in well-being patterns across regions were observed. Additionally, estimated well-being was related with other well-being measures (Five Ways): Learn and Connect were the strongest predictors of general well-being, with Take Notice and Give being associated with specific aspects of it. CONCLUSIONS: Based on this narrow sample of young adults, it appears the ten-item measure proposed by Huppert & So (Soc Indic Res. 110, 837–861 2013) is useful for assessing population mental health outside of Europe. This is only an initial attempt to assess qualities, so further testing should be done before applying at scale for identifying policy opportunities to address well-being of populations. BioMed Central 2020-06-30 /pmc/articles/PMC7329394/ /pubmed/32605624 http://dx.doi.org/10.1186/s12955-020-01375-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Graeff-Buhl-Nielsen, Sophia Garcia-Garzon, Eduardo Benzerga, Amel Folke, Tomas Ruggeri, Kai Global mental health: an improved measure of well-being in multiple languages |
title | Global mental health: an improved measure of well-being in multiple languages |
title_full | Global mental health: an improved measure of well-being in multiple languages |
title_fullStr | Global mental health: an improved measure of well-being in multiple languages |
title_full_unstemmed | Global mental health: an improved measure of well-being in multiple languages |
title_short | Global mental health: an improved measure of well-being in multiple languages |
title_sort | global mental health: an improved measure of well-being in multiple languages |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7329394/ https://www.ncbi.nlm.nih.gov/pubmed/32605624 http://dx.doi.org/10.1186/s12955-020-01375-3 |
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