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Record W1996331081 · doi:10.1080/13557858.2011.610440

Canadian Punjabi Sikh men's experiences of lifestyle changes following myocardial infarction: cultural connections

2011· article· en· W1996331081 on OpenAlexafffundabout
Paul Galdas, John L. Oliffe, Sabrina T. Wong, Pamela A. Ratner, Joy L. Johnson, Mary T. Kelly

Bibliographic record

VenueEthnicity and Health · 2011
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversity of British Columbia HospitalUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsCollectivismFaithQualitative researchGerontologyMedicineGender studiesPsychologySociologyIndividualismAnthropologyPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe how culture underlies Canadian Punjabi Sikh men's experiences of adopting lifestyle changes following myocardial infarction (MI). DESIGN: Qualitative, interpretive design. In-depth, individual interviews were conducted with 27 Canadian Punjabi Sikh men post-MI. Data were analysed using constant comparative methods. RESULTS: Cultural influences were identified in Punjabi Sikh men's descriptions of their experience of adopting lifestyle changes. Actions related to self-care, rehabilitation and lifestyle change post-MI were embedded in collectivist family and community contexts. Three themes, derived from the data, were found to intertwine with these contexts; they related to food consumption, physical exercise and faith and religion. CONCLUSION AND IMPLICATIONS: These findings highlight how collectivist ideals influence Canadian Punjabi Sikh men's adoption of lifestyle changes post-MI. The content and processes by which healthcare providers deliver heart health and rehabilitation to Canadian Punjabi Sikh men might be guided, at least in part, by the collectivist cultural practices underpinning our findings.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.076
GPT teacher head0.362
Teacher spread0.285 · 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

Citations41
Published2011
Admission routes3
Has abstractyes

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