What Predicts the Physical Activity Intention–Behavior Gap? A Systematic Review
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
BACKGROUND: Intention is theorized as the proximal determinant of behavior in many leading theories and yet intention-behavior discordance is prevalent. PURPOSE: To theme and appraise the variables that have been evaluated as potential moderators of the intention-physical activity (I-PA) relationship using the capability-opportunity-motivation- behavior model as an organizational frame. METHODS: Literature searches were concluded in August 2020 using seven common databases. Eligible studies were selected from English language peer-reviewed journals and had to report an empirical test of moderation of I-PA with a third variable. Findings were grouped by the moderator variable for the main analysis, and population sample, study design, type of PA, and study quality were explored in subanalyses. RESULTS: The search yielded 1,197 hits, which was reduced to 129 independent studies (138 independent samples) of primarily moderate quality after screening for eligibility criteria. Moderators of the I-PA relationship were present among select variables within sociodemographic (employment status) and personality (conscientiousness) categories. Physical capability, and social and environmental opportunity did not show evidence of interacting with I-PA relations, while psychological capability had inconclusive findings. By contrast, key factors underlying reflective (intention stability, intention commitment, low goal conflict, affective attitude, anticipated regret, perceived behavioral control/self-efficacy) and automatic (identity) motivation were moderators of I-PA relations. Findings were generally invariant to study characteristics. CONCLUSIONS: Traditional intention theories may need to better account for key I-PA moderators. Action control theories that include these moderators may identify individuals at risk for not realizing their PA intentions. Prospero # CRD42020142629.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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