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Record W2096461641 · doi:10.2182/cjot.2010.77.4.3

The Experience of Participation in Everyday Occupations for Adults with Obesity

2010· article· en· W2096461641 on OpenAlexafffundvenue
Mary Forhan, Mary Law, Brenda Vrkljan, Valerie H. Taylor

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2010
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health Research
KeywordsGerontologyObesityQuality of life (healthcare)Everyday lifePsychologyCoping (psychology)Activities of daily livingIntervention (counseling)MedicineClinical psychologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Participation in occupations of everyday life, such as self-care, work, and leisure, contribute to health and well-being. Obesity has been shown to influence health-related quality of life, but it is unclear how obesity influences participation in specific occupations. PURPOSE: To describe the lived experience of adults with class III obesity and the associated impact on participation in occupations of daily living. METHODS: Ten adults enrolled in an obesity treatment program were interviewed. Data were interpreted using descriptive phenomenological methods. FINDINGS: Participants underscored the tensions, barriers, and coping strategies across and within specific occupations. Although participation across occupations of daily living was described, the quality and diversity of occupations was influenced by real and perceived barriers within the environment. IMPLICATIONS: Participation in daily occupations is limited for persons with class III obesity. Intervention approaches should address health-related concerns and consider environmental adaptations that facilitate meaningful engagement in everyday life.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.080
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.216
GPT teacher head0.521
Teacher spread0.305 · 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

Citations60
Published2010
Admission routes3
Has abstractyes

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