Evaluation of the Health Promotion Model to Predict Physical Activity in Iranian Adolescent Boys
Why this work is in the frame
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Bibliographic record
Abstract
Promoting sustainable physical activity (PA) behavior change is challenging, and a number of theoretical models have been developed and applied to this problem. Pender's health promotion model (HPM) is a relatively new model that is based on Bandura's social cognitive theory but includes the additional construct of competing demands, which are viewed as alternative behaviors (e.g., watching television) that have powerful reinforcing properties. This study evaluates the HPM as a means to predict PA in a sample of Iranian adolescent boys. Participants were 515 boys from 100 junior high and high schools in Sanandaj, Iran. Participants' mean age was 14.33 years (SD = 1.6, range = 12-17). Participants completed questions assessing social cognitive variables, and structural equation modeling was used to fit the data to the HPM. The HPM accounted for 37% of the variance in PA but did not represent a good data fit (chi(2) = 913.85, df = 473, p < .001). There were significant pathways between PA and self-efficacy (beta = .25, p < .001), enjoyment (beta = .22, p < .01), and PA modeling (beta = -.13, p < .05). A revised model that included the indirect effects of competing demands explained 34% of the variance in PA and represented a good data fit (chi( 2) = 9.12, df = 4, p = .058). In the revised model, self-efficacy, commitment to planning, and enjoyment were associated with PA. According to the HPM, competing demands influence PA. In the study sample, competing demands were not related to PA but were inversely associated with commitment to planning.
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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 | 0.002 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it