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Record W2020694632 · doi:10.1353/cja.2006.0005

From Cues to Action: Information Seeking and Exercise Self-Care among Older Adults Managing Chronic Illness

2005· article· en· W2020694632 on OpenAlexaffabout
Pak Hei Benedito Chou, Andrew Wister

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2005
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsOddsSociology of health and illnessSalience (neuroscience)Action (physics)Context (archaeology)PsychologyHealth careConstruct (python library)Medicine

Abstract

fetched live from OpenAlex

ABSTRACT Drawing from the health belief model, cues to action have been theorized to influence health behaviours; however, few studies have examined these constructs explicitly. This study investigated the relationship between information cues to action and exercise self-care. It was hypothesized that reading about illness information, knowing about services, and consulting with others about one's illness triggers exercise self-care. The sample consisted of 879 chronically ill adults aged 50 and over, drawn from the Vancouver North Shore Self-Care Study. It was found that the odds of exercising almost doubled for readers of information about illness (compared to non-readers), after controlling for socio-demographic factors, illness context, and illness efficacy. Furthermore, knowledge of services and consultations were shown to increase the odds of exercise self-care. These findings provide support for the salience of cues to action as a pivotal theoretical construct. The implications of these findings for health promotion programs targeting persons with chronic illnesses are discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.271
Teacher spread0.260 · 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.

Study designOther design
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

Citations33
Published2005
Admission routes2
Has abstractyes

Explore more

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