Evidence map›Paper›PMID 34135792›Full record

ArticleFrontiers in psychology2021

Do More of What Makes You Happy? The Applicability of Signature Character Strengths and Future Physicians' Well-Being and Health Over Time.

Alexandra Huber, Angela Bair, Cornelia Strecker, Thomas Höge, Stefan Höfer

Abstract read
In one paragraph

Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Psychological Capital, Well-being, and Distress of International Students.International journal for the advancement of counseling · 2022
    Article
  6. Article
  7. 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

5 authors.

Alexandra HuberDepartment of Medical Psychology, Medical University of Innsbruck, Innsbruck, Austria.
Angela BairInstitute of Psychology, Medical Informatics and Technology, University of Health Sciences, Hall in Tirol, Austria.
Cornelia StreckerInstitute of Psychology, University of Innsbruck, Innsbruck, Austria.
Thomas HögeInstitute of Psychology, University of Innsbruck, Innsbruck, Austria.
Stefan HöferDepartment of Medical Psychology, Medical University of Innsbruck, Innsbruck, Austria.

Funding

Austrian Science Fund FWF P 27228
6 · The paper itself

Abstract

Research on applying signature character strengths demonstrated positive effects on well-being, health and work behavior. Future health care professionals represent a group at risk for impaired well-being due to high study demands. This study investigates potential long-term protective effects on well-being. In total, 504 medical students participated in a longitudinal online study, with at least 96 providing complete data at all three time points (time lag: 1 year). Data on individual signature character strengths and their applicability, thriving (subjective and psychological well-being), work engagement, burnout, mental and physical health were collected. Longitudinal relations of signature character strengths' applicability and well-being, mental and physical health were tested with cross-lagged panel analyses. Moreover, indirect longitudinal mediation effects via work engagement and emotional exhaustion were considered. Cross-lagged panel analyses demonstrated significant positive effects of thriving on signature character strengths' applicability at later time points (

Indexed as

applicabilityburnoutfuture physicianhealthmedical educationsignature character strengthswell-beingwork engagement

Identifiers

PMID34135792
PMCPMC8200469

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.