Evidence map›Paper›PMID 39583642›Full record

ArticleHealth science reports2024

Psychological flexibility as a mediator in the relationship between resilience and academic burnout among Doctor of Physical Therapy students: A structural equation modeling study.

Jason Cherry, Gurpreet Singh, Michael Buck

Abstract read
In one paragraph

Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

5 citing papers in PubMed.

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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

3 authors.

Jason CherryDepartment of Physical Therapy, Decker College of Nursing and Health Sciences Binghamton University Johnson City New York USA.ORCID 0009-0009-5504-5111
Gurpreet SinghDepartment of Physical Therapy, Decker College of Nursing and Health Sciences Binghamton University Johnson City New York USA.ORCID https://orcid.org/0000-0002-9870-9629
Michael BuckDepartment of Physical Therapy, Decker College of Nursing and Health Sciences Binghamton University Johnson City New York USA.ORCID https://orcid.org/0009-0006-3541-669X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Although resilience has been identified as an important factor for mitigating burnout among health profession students, little is known regarding the modifiable factors that should be emphasized to improve resilience in this population. The purpose of this study was to evaluate psychological flexibility as a modifiable mediator of the relationship between resilience and academic burnout among healthcare students. Methods: This cross-sectional study was conducted with 369 Doctor of Physical Therapy (DPT) students from universities across the United States. A two-stage structural equation modeling approach, including confirmatory factor analysis and structural path analysis, was used to investigate psychological flexibility as a mediator of the relationship between resilience and academic burnout. Results: The measurement and structural path models demonstrated a good fit to the data. Resilience had a statistically significant indirect association with less academic burnout through psychological flexibility as the mediator ( Conclusion: These results indicate that the positive effects of resilience on academic burnout occur through modifiable psychological flexibility processes only. These results suggest that psychological flexibility is a modifiable mechanism through which resilience impacts academic burnout. Developing interventions focusing on psychological flexibility may help students build resilience and limit academic burnout, positively impacting the students, their future institutions, and their future patients.

Indexed as

academic burnoutDoctor of Physical Therapy studentspsychological flexibilityresiliencestructural equation model

Identifiers

PMID39583642
PMCPMC11582354

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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.