Evidence map›Paper›PMID 30364454›Full record

ArticleGlobal advances in health and medicine2018

The Stressed Executive: Sources and Predictors of Stress Among Participants in an Executive Health Program.

Ravindra Ganesh, Saswati Mahapatra, Debbie L Fuehrer, Levi J Folkert, Whitney A Jack, Sarah M Jenkins, Brent A Bauer, Dietlind L Wahner-Roedler, Amit Sood

Open access · goldAbstract read
In one paragraph

Article in Global advances in health and medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Association between self-reported sleep duration and cardiometabolic risk in corporate executives.International archives of occupational and environmental health · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Ravindra GaneshDivision of General Internal Medicine, Mayo Clinic, Rochester, Minnesota.ORCID https://orcid.org/0000-0002-6877-1712
Saswati MahapatraDivision of General Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Debbie L FuehrerDivision of General Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Levi J FolkertDivision of General Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Whitney A JackDepartment of Family Medicine, Mayo Clinic, Rochester, Minnesota.
Sarah M JenkinsDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota.
Brent A BauerDivision of General Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Dietlind L Wahner-RoedlerDivision of General Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Amit SoodDivision of General Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Mayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStress 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.

objectiveThe primary aim of this study was to identify common sources of stress, predictors of high stress, and other correlates among executives.

methodsThis 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.

resultsOf 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 (

conclusionThese 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.

Indexed as

executive healthoccupational healthstressstress management

Identifiers

PMID30364454
PMCPMC6196623
OpenAlexW2898041198

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.