Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 549

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Coping patterns as predictors of burnout: The function of control and escapist coping patterns

Open access
Leiter, Michael P.·1991·Journal of Organizational Behavior

Abstract

The paper attempts to bring concepts developed in cognitive approaches to stress and coping to a model which predicts burnout as a function of organizational demands and resources. Workers in a mental hospital (N = 177) provided information regarding coping patterns, burnout, and organizational commitment as well as various demands and resources in the work environment. A LISREL analysis confirmed that burnout is best considered a function of coping patterns as well as a function of organizational demands and resources. Control coping cognitions and actions were associated with decreased burnout, while escapist coping strategies were associated with increased burnout. The analysis indicated relationships of coping patterns with organizational commitment could be operating indirectly through the relationships of both coping patterns and commitment with the burnout. The paper discusses implications of these findings for interventions designed to alleviate or prevent burnout.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/job.4030120205

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Cited by

See all 549

Metadata

Authors
Leiter, M. P.
Venue
Journal of Organizational Behavior
Publisher
Wiley
Published
1991-03
Volume
12
Issue
2
Pages
123-144
ISSN
  • 0894-3796 (ISSN-L)
  • 1099-1379
OpenAlex
W2022942412
Cited by
549
References
5
FWCI
19.22
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Coping patterns as predictors of burnout: The function of control and escapist coping patterns. https://app.cochat.ai/papers/10.1002/job.4030120205
The paper
Leiter, M. P. (1991). Coping patterns as predictors of burnout: The function of control and escapist coping patterns. Journal of Organizational Behavior. https://doi.org/10.1002/job.4030120205

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.