Evidence map›Paper›PMID 42016701›Full record

ArticleApplied psychology research2026

The interplay between work overload, trait motivation, and emotional exhaustion on job satisfaction and happiness.

Fiona E Raines, Shahnaz Aziz, Julia King, Kristin S Allen

Abstract read
In one paragraph

Article in Applied psychology research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Fiona E RainesDepartment of Psychology, East Carolina University, Greenville, NC 27858, USA.
Shahnaz AzizDepartment of Psychology, East Carolina University, Greenville, NC 27858, USA.ORCID 0000-0001-8791-9017
Julia KingSHL, Atlanta, Georgia, 30361 USA.ORCID 0009-0007-3442-947X
Kristin S AllenSHL, Atlanta, Georgia, 30361 USA.

Funding

Association between workaholism and fasting glucose/insulin, insulin sensitivity, and lipids.R15DK128608 · NIDDK · EAST CAROLINA UNIVERSITY · PI AZIZ, SHAHNAZ · 2022 to 2022
$451k
NIDDK NIH HHS R15 DK128608
6 · The paper itself

Abstract

Job satisfaction and happiness have received considerable attention in recent literature, as the work landscape increasingly prioritizes and seeks to maximize employee well-being. Despite considerable extant research looking at organizational factors, individual antecedents of these desirable outcomes, such as motivation and burnout, have yet to be examined. In the present study, we seek to address this gap by applying the frameworks of the Job Demands-Resources model and Conservation of Resources theory to examine achievement motivation and emotional exhaustion (a key aspect of burnout) as predictors of job satisfaction and global employee happiness. A cross-sectional, secondary dataset sampling 844 working professionals via an Amazon Mechanical Turk survey was employed to investigate the interplay between environmental factors (i.e., work overload), individual factors (i.e., trait motivation and emotional exhaustion as a core component of burnout), and the outcomes of job satisfaction and happiness. Emotional exhaustion and anxiety motivation were negatively related to job satisfaction and happiness, while achievement motivation was positively related to them. Additionally, findings demonstrated evidence that work overload relates to job satisfaction and happiness through an emotional exhaustion statistical mediation pathway. Future researchers should confirm and expand on our findings by evaluating these relationships in longitudinal studies and more heterogeneous samples to examine temporal effects.

Indexed as

emotional exhaustionhappinessjob satisfactiontrait motivationwork overload

Identifiers

PMID42016701
PMCPMC13093254

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.