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Worker well-being in the United States: Finding variation across job categories()()

Job categories shape the contexts that contribute to worker well-being, including their health, connectivity, and engagement. Using data from the 2014 Gallup Daily tracking survey, this study documented the distribution of worker well-being across 11 broad job categories among a national sample of e...

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Detalles Bibliográficos
Autores principales: Stiehl, Emily, Jones-Jack, Nkenge H., Baron, Sherry, Muramatsu, Naoko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258369/
https://www.ncbi.nlm.nih.gov/pubmed/30505651
http://dx.doi.org/10.1016/j.pmedr.2018.10.006
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author Stiehl, Emily
Jones-Jack, Nkenge H.
Baron, Sherry
Muramatsu, Naoko
author_facet Stiehl, Emily
Jones-Jack, Nkenge H.
Baron, Sherry
Muramatsu, Naoko
author_sort Stiehl, Emily
collection PubMed
description Job categories shape the contexts that contribute to worker well-being, including their health, connectivity, and engagement. Using data from the 2014 Gallup Daily tracking survey, this study documented the distribution of worker well-being across 11 broad job categories among a national sample of employed adults in the United States. Well-being was measured by Gallup-Sharecare Well-Being 5™, a composite measure of five well-being dimensions (purpose, community, physical, financial, and social). Analysis of variance (ANOVA) was used to examine how well-being varied across job categories and the extent to which household income modified that relationship, controlling for demographic factors. Well-being varied significantly across job categories, even after adjusting for household income and demographic factors. Well-being was higher among business owners, professionals, managers, and farming/fishing workers and lower among clerical/office, service, manufacturing/production, and transportation workers. Purpose well-being (e.g., liking what you do and being motivated to achieve your goals) showed the greatest variability across job categories—there were small differences across income levels for business owners, professionals, managers, and farming/fishing workers, and statistically significant gaps between the high income group and the two lower income groups among clerical/office, service, manufacturing/production, and transportation workers. Physical well-being exhibited the smallest gaps across income groups within job categories. The findings suggest that job category is an important component of worker well-being that extends beyond the financial dimension to purpose well-being. Our results suggest well-being inequity across job categories, and highlight areas for future research, policy and practice, including targeted interventions to promote worker and workplace well-being.
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spelling pubmed-62583692018-11-30 Worker well-being in the United States: Finding variation across job categories()() Stiehl, Emily Jones-Jack, Nkenge H. Baron, Sherry Muramatsu, Naoko Prev Med Rep Short Communication Job categories shape the contexts that contribute to worker well-being, including their health, connectivity, and engagement. Using data from the 2014 Gallup Daily tracking survey, this study documented the distribution of worker well-being across 11 broad job categories among a national sample of employed adults in the United States. Well-being was measured by Gallup-Sharecare Well-Being 5™, a composite measure of five well-being dimensions (purpose, community, physical, financial, and social). Analysis of variance (ANOVA) was used to examine how well-being varied across job categories and the extent to which household income modified that relationship, controlling for demographic factors. Well-being varied significantly across job categories, even after adjusting for household income and demographic factors. Well-being was higher among business owners, professionals, managers, and farming/fishing workers and lower among clerical/office, service, manufacturing/production, and transportation workers. Purpose well-being (e.g., liking what you do and being motivated to achieve your goals) showed the greatest variability across job categories—there were small differences across income levels for business owners, professionals, managers, and farming/fishing workers, and statistically significant gaps between the high income group and the two lower income groups among clerical/office, service, manufacturing/production, and transportation workers. Physical well-being exhibited the smallest gaps across income groups within job categories. The findings suggest that job category is an important component of worker well-being that extends beyond the financial dimension to purpose well-being. Our results suggest well-being inequity across job categories, and highlight areas for future research, policy and practice, including targeted interventions to promote worker and workplace well-being. Elsevier 2018-10-18 /pmc/articles/PMC6258369/ /pubmed/30505651 http://dx.doi.org/10.1016/j.pmedr.2018.10.006 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Short Communication
Stiehl, Emily
Jones-Jack, Nkenge H.
Baron, Sherry
Muramatsu, Naoko
Worker well-being in the United States: Finding variation across job categories()()
title Worker well-being in the United States: Finding variation across job categories()()
title_full Worker well-being in the United States: Finding variation across job categories()()
title_fullStr Worker well-being in the United States: Finding variation across job categories()()
title_full_unstemmed Worker well-being in the United States: Finding variation across job categories()()
title_short Worker well-being in the United States: Finding variation across job categories()()
title_sort worker well-being in the united states: finding variation across job categories()()
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258369/
https://www.ncbi.nlm.nih.gov/pubmed/30505651
http://dx.doi.org/10.1016/j.pmedr.2018.10.006
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