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Record W7030150385

Mental Fatigue, Planning, and Persuasive Message Exposure: A Unique Perspective in the Context of Physical Activity

2025· other· en· W7030150385 on OpenAlexaff

Bibliographic record

VenueYork University Digital Library (York University) · 2025
Typeother
Languageen
FieldHealth Professions
TopicSocial Policies and Healthcare Reform
Canadian institutionsYork University
Fundersnot available
KeywordsContext (archaeology)Mental healthPsychosocialPerspective (graphical)FeelingTraitAction (physics)Psychological intervention
DOInot available

Abstract

fetched live from OpenAlex

Existing research shapes our understanding of the effects of mental fatigue on physical activity (PA) behaviour, the importance of planning for PA to enhance PA participation, and the value of including persuasive messaging techniques within PA behaviour change interventions. However, extant literature does not directly provide understanding regarding the effects of a PA planning intervention on experiences of mental fatigue, the potential negative influence of mental fatigue on choice to plan for PA and PA plan quality, nor the potential effects of persuasive message exposure on choice to plan for PA when mentally fatigued. Study 1 explored if planning for PA heightened feelings of mental fatigue, and how individual psychological characteristics relate to experiences of mental fatigue. Study 2 examined the effects of a mentally fatiguing task on choice to plan for PA and the quality of a PA plan, as well as explored potential psychological correlates of mental fatigue. Study 3 examined if exposure to persuasive messages would influence not only choice to plan for PA, but also influence psychosocial predictors of the Health Action Process Approach (HAPA) model following a mentally fatiguing task. Changes in HAPA variables were examined as predictors of choice to plan for PA. Across these three studies, results suggest that: a) although likely not more mentally fatiguing than other daily tasks, planning for PA may still contribute to heightened feels of mental fatigue, b) experiences of heightened mental fatigue may or may not influence choice to plan for PA and PA plan quality, but trait self-control and trait grit are important psychological factors in the relationship between mental fatigue and choice to plan for PA, and c) exposure to persuasive messaging can increase the likelihood of choosing to plan for PA at a relatively high level, at least in the short term. Future researchers should attempt to better understand the relationship between mental fatigue, PA planning, and persuasive messaging by conducting studies that are mixed-method and naturalistic, with longer follow up periods to better analyze plan follow through.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.316
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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