Evidence map›Paper›PMID 33477488›Full record

ArticleHealthcare (Basel, Switzerland)2021

Using Residual Dynamic Structural Equation Modeling to Explore the Relationships among Employees' Self-Reported Health, Daily Positive Mood, and Daily Emotional Exhaustion.

Ya-Tzu Kung, Shyh-Ching Chi, Yung-Chou Chen, Chia-Ming Chang

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. 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
1.4field-weighted citation impact, top 16% 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, 9 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 3 institutions in 1 country.

Ya-Tzu KungGraduate Institute of Physical Education, National Taiwan Sport University, Taoyuan 33301, Taiwan.ORCID 0000-0002-6770-0250
Shyh-Ching ChiDepartment of Sports Training Science-Balls, National Taiwan Sport University, Taoyuan 33301, Taiwan.ORCID 0000-0002-1766-1847
Yung-Chou ChenDepartment of Athletic Sports, National Chung Cheng University, Chiayi 62103, Taiwan.ORCID 0000-0002-9915-301X
Chia-Ming ChangDepartment of Physical Education, Health & Recreation, National Chiayi University, Chiayi 62103, Taiwan.
National Taiwan Sport University · TWNational Chiayi University · TWNational Chung Cheng University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the relationships among self-reported health, daily positive mood, and daily emotional exhaustion among employees in health and fitness clubs using residual dynamic structural equation modeling (RDSEM). A questionnaire was completed by 179 employees at recruitment and then a diary survey over 10 consecutive workdays. Results of RDSEM analyses revealed that daily positive mood was negatively associated with daily emotional exhaustion at both within-person and between-person levels. Self-reported health was positively related to the person's mean of daily positive mood and negatively associated with the person's mean of daily emotional exhaustion. Self-reported health moderated the relationship between daily positive mood and daily emotional exhaustion; employees with higher self-reported health levels tend to respond with larger changes in their daily emotional exhaustion when their daily positive mood changes. These findings provide important insights for organizations aiming at their employees' health, happiness, and job burnout.

Indexed as

daily emotional exhaustiondaily positive moodresidual dynamicself-reported healthstructural equation modeling

Identifiers

PMID33477488
PMCPMC7831058
OpenAlexW3122123228

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.