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Record W4205426128 · doi:10.22215/etd/2021-14790

Associations between Positive Psychological Well-Being, Psychological Distress, and Physical Activity among Adults with Diabetes

2021· dissertation· en· W4205426128 on OpenAlexaff
Sasha Gunpat Motayne

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsCarleton University
Fundersnot available
KeywordsDiabetes mellitusPhysical activityPsychological distressDistressPsychologyExploratory researchClinical psychologyAssociation (psychology)MedicineGerontologyMental healthPhysical therapyPsychiatryPsychotherapistEndocrinology

Abstract

fetched live from OpenAlex

Positive psychological well-being (PPWB) is associated with physical activity above and beyond psychological distress among adults.The purpose of this study was to determine if this association holds among people with diabetes.Data came from a subset of participants in the Whitehall 2 study who participated in an accelerometer sub-study and self reported having diabetes (n = 112).Baseline data (2007)(2008)(2009) of PPWB, psychological distress, and diabetes status were self-reported; physical activity was directly measured via accelerometer at follow-up (2012)(2013).In adjusted models, PPWB was not associated with physical activity among people with diabetes, β = 1.73, p = .098.Exploratory analyses indicated that diabetes status did not moderate associations between PPWB and physical activity.Results suggest that PPWB may not play a role in physical activity among adults with diabetes.Future research should test other positive psychological factors that are associated with physical activity among adults with diabetes.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.327
Teacher spread0.314 · 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
Published2021
Admission routes1
Has abstractyes

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