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Record W1501614979

Cues to action : do they result in belief and behavioural change in women?

2007· dissertation· en· W1501614979 on OpenAlexaboutno aff
Jennifer. Gasparotto

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2007
Typedissertation
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsAction (physics)PsychologySocial psychologyCognitive psychology
DOInot available

Abstract

fetched live from OpenAlex

With incidence rates of osteoporosis increasing (Osteoporosis Canada, 2007),
\npreventative efforts to minimize costs associated with condition diagnosis are a public
\nhealth priority. Cues to action are specific internal (e.g., physical symptoms, family
\nmember with a condition) or external stimuli (e.g., public service announcements, health
\neducation campaigns) that are necessary to trigger appropriate health behaviours and
\nserve to create an awareness of the health threat (Mattson, 1999). To date, limited
\nunderstanding of the scope of influence cues to action have on health beliefs and
\nbehaviour associated with osteoporosis is known. The present investigation was designed
\nto address this gap in the literature. More specifically, the influence of cues to action, a
\npublic service announcement (PSA) developed by Osteoporosis Canada and a bone
\nscreening by way of Quantitative Ultrasound, on health beliefs and health-enhancing
\nphysical activity (HEPA) across a four week period was investigated. Peri-and postmenopausal
\nwomen (N= 174) were randomly assigned to one of three conditions 1) an
\nosteoporosis public service announcement (PSA) condition; 2) a bone screening
\ncondition via quantitative ultrasound techniques, and 3) a PSA attention control
\ncondition. Health beliefs associated with osteoporosis were taken at three time points:
\nprior to the cue to action intervention, immediately following the intervention, and four
\nweeks post intervention. Knowledge of osteorporosis risk factors and HEP A were
\nassessed pre and post-intervention only. Results of a regression analysis suggested that
\nbaseline health beliefs predicted baseline HEPA (R2
\nadj = .24; F (9, 161) = 6.49,p = .000;
\n95% CI = .12 - .35) with exercise barriers (p = -.33) being a negative predictor and health
\nmotivation (p = .21) being a positive predictor of HEP A. Baseline health beliefs predicted With incidence rates of osteoporosis increasing (Osteoporosis Canada, 2007),
\npreventative efforts to minimize costs associated with condition diagnosis are a public
\nhealth priority. Cues to action are specific internal (e.g., physical symptoms, family
\nmember with a condition) or external stimuli (e.g., public service announcements, health
\neducation campaigns) that are necessary to trigger appropriate health behaviours and
\nserve to create an awareness of the health threat (Mattson, 1999). To date, limited
\nunderstanding of the scope of influence cues to action have on health beliefs and
\nbehaviour associated with osteoporosis is known. The present investigation was designed
\nto address this gap in the literature. More specifically, the influence of cues to action, a
\npublic service announcement (PSA) developed by Osteoporosis Canada and a bone
\nscreening by way of Quantitative Ultrasound, on health beliefs and health-enhancing
\nphysical activity (HEPA) across a four week period was investigated. Peri-and postmenopausal
\nwomen (N= 174) were randomly assigned to one of three conditions 1) an
\nosteoporosis public service announcement (PSA) condition; 2) a bone screening
\ncondition via quantitative ultrasound techniques, and 3) a PSA attention control
\ncondition. Health beliefs associated with osteoporosis were taken at three time points:
\nprior to the cue to action intervention, immediately following the intervention, and four
\nweeks post intervention. Knowledge of osteorporosis risk factors and HEP A were
\nassessed pre and post-intervention only. Results of a regression analysis suggested that
\nbaseline health beliefs predicted baseline HEPA (R2
\nadj = .24; F (9, 161) = 6.49,p = .000;
\n95% CI = .12 - .35) with exercise barriers (p = -.33) being a negative predictor and health
\nmotivation (p = .21) being a positive predictor of HEP A. Baseline health beliefs predicted

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
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
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.023
GPT teacher head0.268
Teacher spread0.245 · 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 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
Published2007
Admission routes1
Has abstractyes

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