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The Stressed Executive: Sources and Predictors of Stress Among Participants in an Executive Health Program
BACKGROUND: Stress is highly prevalent in the U.S. society, especially in executives, and is a well-documented risk factor for a wide range of medical disorders. Knowledge of common sources of stress and predictive factors may help identify executives at risk of high stress and allow us to appropria...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196623/ https://www.ncbi.nlm.nih.gov/pubmed/30364454 http://dx.doi.org/10.1177/2164956118806150 |
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author | Ganesh, Ravindra Mahapatra, Saswati Fuehrer, Debbie L Folkert, Levi J Jack, Whitney A Jenkins, Sarah M Bauer, Brent A Wahner-Roedler, Dietlind L Sood, Amit |
author_facet | Ganesh, Ravindra Mahapatra, Saswati Fuehrer, Debbie L Folkert, Levi J Jack, Whitney A Jenkins, Sarah M Bauer, Brent A Wahner-Roedler, Dietlind L Sood, Amit |
author_sort | Ganesh, Ravindra |
collection | PubMed |
description | BACKGROUND: Stress is highly prevalent in the U.S. society, especially in executives, and is a well-documented risk factor for a wide range of medical disorders. Knowledge of common sources of stress and predictive factors may help identify executives at risk of high stress and allow us to appropriately refer them for stress management treatment. OBJECTIVE: The primary aim of this study was to identify common sources of stress, predictors of high stress, and other correlates among executives. METHODS: This was a cross-sectional survey of executives who requested a stress management consult at our institution. We abstracted the data from a 14-item intake survey as well as from the patient interview. RESULTS: Of the 839 executives, 827 executives (98.6%) who were referred for individual stress management consults completed the stress-related questions of the survey; 51.3% of these executives reported having a high stress level. Study participants mostly struggled with the well-being measures of sleep, anxiety, energy level, and diet. The majority reported that their main stressor was work related (n = 540, 64.4%) followed by family related (n = 371, 44.2%), health related (n = 170, 20.3%), and work–life balance (n = 62, 7.4%). In unadjusted analysis, high stress was associated with younger age (P = .006), lower quality-of-life scores (P < .001), and less physical activity (P < .001). In multivariable analyses, the strongest predictors for high stress level were younger age (odds ratios [OR] = 0.84, P = .045) and worse quality-of-life indicators such as anxiety (OR = 2.72, P < .001), diet (OR = 0.78, P = .02), and sleep (OR = 0.74, P < .003). CONCLUSION: These findings suggest that executives with a high level of stress might be best helped through a multimodality stress management program. Our findings merit replication in larger studies and more definitive confirmation with prospective clinical trials. |
format | Online Article Text |
id | pubmed-6196623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-61966232018-10-24 The Stressed Executive: Sources and Predictors of Stress Among Participants in an Executive Health Program Ganesh, Ravindra Mahapatra, Saswati Fuehrer, Debbie L Folkert, Levi J Jack, Whitney A Jenkins, Sarah M Bauer, Brent A Wahner-Roedler, Dietlind L Sood, Amit Glob Adv Health Med Original Article BACKGROUND: Stress is highly prevalent in the U.S. society, especially in executives, and is a well-documented risk factor for a wide range of medical disorders. Knowledge of common sources of stress and predictive factors may help identify executives at risk of high stress and allow us to appropriately refer them for stress management treatment. OBJECTIVE: The primary aim of this study was to identify common sources of stress, predictors of high stress, and other correlates among executives. METHODS: This was a cross-sectional survey of executives who requested a stress management consult at our institution. We abstracted the data from a 14-item intake survey as well as from the patient interview. RESULTS: Of the 839 executives, 827 executives (98.6%) who were referred for individual stress management consults completed the stress-related questions of the survey; 51.3% of these executives reported having a high stress level. Study participants mostly struggled with the well-being measures of sleep, anxiety, energy level, and diet. The majority reported that their main stressor was work related (n = 540, 64.4%) followed by family related (n = 371, 44.2%), health related (n = 170, 20.3%), and work–life balance (n = 62, 7.4%). In unadjusted analysis, high stress was associated with younger age (P = .006), lower quality-of-life scores (P < .001), and less physical activity (P < .001). In multivariable analyses, the strongest predictors for high stress level were younger age (odds ratios [OR] = 0.84, P = .045) and worse quality-of-life indicators such as anxiety (OR = 2.72, P < .001), diet (OR = 0.78, P = .02), and sleep (OR = 0.74, P < .003). CONCLUSION: These findings suggest that executives with a high level of stress might be best helped through a multimodality stress management program. Our findings merit replication in larger studies and more definitive confirmation with prospective clinical trials. SAGE Publications 2018-10-17 /pmc/articles/PMC6196623/ /pubmed/30364454 http://dx.doi.org/10.1177/2164956118806150 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article Ganesh, Ravindra Mahapatra, Saswati Fuehrer, Debbie L Folkert, Levi J Jack, Whitney A Jenkins, Sarah M Bauer, Brent A Wahner-Roedler, Dietlind L Sood, Amit The Stressed Executive: Sources and Predictors of Stress Among Participants in an Executive Health Program |
title | The Stressed Executive: Sources and Predictors of Stress Among Participants in an Executive Health Program |
title_full | The Stressed Executive: Sources and Predictors of Stress Among Participants in an Executive Health Program |
title_fullStr | The Stressed Executive: Sources and Predictors of Stress Among Participants in an Executive Health Program |
title_full_unstemmed | The Stressed Executive: Sources and Predictors of Stress Among Participants in an Executive Health Program |
title_short | The Stressed Executive: Sources and Predictors of Stress Among Participants in an Executive Health Program |
title_sort | stressed executive: sources and predictors of stress among participants in an executive health program |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196623/ https://www.ncbi.nlm.nih.gov/pubmed/30364454 http://dx.doi.org/10.1177/2164956118806150 |
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