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Record W3043629639 · doi:10.1080/07448481.2020.1786098

University students’ knowledge, self-efficacy, outcome expectations, and barriers related to reducing sedentary behavior: a qualitative study

2020· article· en· W3043629639 on OpenAlexaffabout
Navjot Pachu, Shaelyn M. Strachan, Diana E. McMillan, Jacquie Ripat, Sandra C. Webber

Bibliographic record

VenueJournal of American College Health · 2020
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSedentary behaviorSittingFocus groupQualitative researchSelf-efficacyBehavior changePsychologyIntervention (counseling)Health behaviorPhysical activitySedentary lifestyleHealth promotionMedicineApplied psychologyPhysical therapySocial psychologyPublic healthNursingEnvironmental health

Abstract

fetched live from OpenAlex

ObjectiveTo explore university students’ knowledge, self-efficacy, outcome expectations, barriers and ideas related to reducing sedentary behavior using a qualitative approach. Participants: Nineteen students from a Canadian university participated. Methods: Four focus groups were conducted. Discussions were recorded, transcribed, and coded to identify categories and themes. Results: Some students lacked knowledge of the concept, but most were generally aware of health risks associated with sedentary behavior. Most students were confident they could reduce sedentary behavior, but felt it would be unlikely they would actually do so because: (a) it is not a priority, (b) the health consequences are distal, (c) increasing standing and light-intensity activity would not provide meaningful health benefits, and (d) class schedules/norms/infrastructure encourage sitting and are not under their control to change. Conclusion: Findings from this study may help inform intervention strategies aimed at decreasing excessive sedentary behavior among university students.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.048
GPT teacher head0.423
Teacher spread0.375 · 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 designQualitative
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

Citations15
Published2020
Admission routes2
Has abstractyes

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