Understanding Physical Activity Behavior in African American and Caucasian College Students: An Application of the Theory of Planned Behavior
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
UNLABELLED: Only 30% of college students meet the recommended amount of physical activity (PA) for health benefits, and this number is lower for African American students. Moreover, the correlates of PA may vary by ethnicity. OBJECTIVE: In the present study, the authors tested the utility of the theory of planned behavior for explaining PA intentions and behavior in Caucasian and African American students. PARTICIPANTS AND METHODS: Participants were 238 African American (M age = 20.05 years, SD = 2.28) and 197 Caucasian (M age = 19.50 years, SD = 2.28) students who completed a baseline theory of planned behavior questionnaire and a follow-up PA measure 1 week later. RESULTS: Hierarchical regression analyses showed that affective (beta = .23) and instrumental (beta = .28) attitudes and perceived behavioral control (beta = .59) were significantly predictive of intention for the Caucasian students, whereas affective attitude (beta = .18) and perceived behavioral control (beta = .56) were significant for African American students. Furthermore, intention (beta = .33) was the lone significant predictor of PA for Caucasian students, whereas perceived behavioral control (beta = .23) was the significant predictor of PA for African American students. CONCLUSIONS: These data suggest that practitioners may need to consider ethnicity when developing PA interventions for college students based on the theory of planned behavior.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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