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Record W4323858132 · doi:10.3389/fpsyg.2023.1083520

Physical activity and academic procrastination in Chinese college students: The serial mediating roles of physical self-perceptions and self-esteem

2023· article· en· W4323858132 on OpenAlexaff
Kai Ren, Chen Xing, Yanni Zhang, Fang Sun, Peng Fan

Bibliographic record

VenueFrontiers in Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsWomen and Children’s Health Research InstituteUniversity of Alberta
FundersNational Social Science Fund of China
KeywordsProcrastinationPsychologySelf-esteemPerceptionScale (ratio)Association (psychology)Descriptive statisticsClinical psychologySocial psychologyDevelopmental psychologyPsychotherapist

Abstract

fetched live from OpenAlex

Studies have demonstrated that physical activity (PA) is negatively associated with academic procrastination. However, there is limited research on the mechanism underlying this relationship. This study aims to explore the relationship between PA and academic procrastination by investigating the roles of physical self-perceptions and self-esteem. 916 college students (650 females; Mean age = 19.11, SD age = 1.04) participated in the study. Participants completed the Physical Activity Rating Scale-3, the Physical Self-Perceptions Profile, the Rosenberg Self-Esteem Scale, and the Academic Procrastination Questionnaires. Descriptive statistics, Pearson’s correlation, and mediating effect analysis were carried out using SPSS 25.0. The results showed that (a) PA, physical self-perceptions, and self-esteem were negatively correlated with academic procrastination, (b) self-esteem mediated the association between PA and academic procrastination, and (c) physical self-perceptions and self-esteem sequentially mediated the association between PA and academic procrastination. These findings have deepened our understanding on the relationship between PA and academic procrastination, highlighting important approaches to deal with academic procrastination.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.750

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.360
Teacher spread0.347 · 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 teacher head, 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

Citations8
Published2023
Admission routes1
Has abstractyes

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