Predicting Transport‐Related Walking in Chinese Employees by Integrating Worksite Neighbourhood Walkability and Social Cognition
Bibliographic record
Abstract
BACKGROUND: As an accessible and inexpensive activity in daily life for employees, transport-related walking is a promising focus of physical activity initiatives. The purpose of this study was to integrate worksite neighbourhood walkability with the theory of planned behaviour (TPB) to predict transport-related walking in Chinese employees using a longitudinal design. METHODS: = 33.26 years; SD = 7.18) reported their social cognition and worksite neighbourhood environment perceptions at the baseline. Self-reported transport-related walking was measured at two time points, 1 month apart. RESULTS: Path analyses revealed that intention had a direct effect on walking, while attitudes, subjective norm, and perceived behavioural control had indirect effects on walking via intention. Past behaviour had a significant effect on walking, attenuating the intention-behaviour effect substantially. However, there was no indirect effect from perceived worksite neighbourhood walkability on walking through the TPB constructs. Furthermore, perceived neighbourhood walkability did not moderate the intention-walking relationship. CONCLUSIONS: Perceived worksite neighbourhood walkability had limited effects on transport-related walking, which seems to be a motivated and habitual behaviour. Habit-based interventions may be a priority over social cognitive and environmental change interventions, and future experimental studies are needed.
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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 | 0.002 | 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 | 0.001 | 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 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".