An Exploration and Experimental Test of a Generic Messaging Approach to the Canadian 24-Hour Movement Guidelines for Adults
Bibliographic record
Abstract
Most Canadian adults do not meet current behaviour recommendations for physical activity, sedentary behaviour and sleep. Historically, movement behaviours were presented in isolation from one another, using complex and overwhelming thresholds outlining durations and intensity for optimal health. Generic messages encouraging small, but meaningful, behaviour change may be a better approach than thresholds through improving adults’ confidence to engage in optimal movement patterns. New integrated Guidelines providing evidence-based recommendations for Canadian adults’ movement behaviours over a 24-hour day are forthcoming. Public facing messages complementing the scientific recommendations to promote engagement amongst adults are needed, and generic messages may be a gateway to encourage adults’ confidence to meet the Guidelines. Grounded in Social Cognitive Theory, this thesis aimed to determine and experimentally test a generic tagline for the Guidelines and build support for generic messaging among health behaviour interventions. Two studies were completed online. In Study 1, Guideline end-users and stakeholders (NPhase1=774; NPhase2= 996) ranked a series of taglines based on whether the messages fostered Guideline self-efficacy beliefs. In Study 2, adult Guideline end-users (N=249) completed pre-, post- and two-week quantitative surveys following exposure to generic or threshold Guideline promotional materials. In the first study, a chi-squared test of independence confirmed the generic tagline “Move More. Sit Less. Sleep Better.” was favoured as self-efficacy boosting, χ2(1) = 142.4, p < .001. In the second study, hierarchal linear regressions predicting adults’ confidence to meet the Guidelines revealed an activity status by experimental condition interaction, F(4, 192) = 52.14, p < .05, ßGeneralTask = -.18, F(4, 192) = 43.06, ßScheduling = -.15, p < .05. Post hoc analyses indicated low active adults exposed to generic messages had greater confidence to meet the Guidelines compared to low active adults exposed to threshold messages. Additionally, message processing was greater among adults exposed to the generic materials than the threshold materials, F(3, 243) = 3.34, p < .05. The findings emphasize that generic messages may be advantageous for promoting adults’ confidence to meet movement guidelines. This work presents considerations for researchers and health promoters aiming to develop appropriate messages for health behaviour engagement among Canadian adults.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".