A Feasibility Randomized Trial Of A Multi-Process Action Control Web-Intervention Targeting Physical Activity In Mothers
Bibliographic record
Abstract
PURPOSE: The onset of motherhood is associated with a decline in moderate- to vigorous-physical activity (MVPA) and this deficit can remain for years to come. MVPA promotion for mothers has focused mainly on social cognitive approaches with mixed effectiveness. Application of a theory that applies self-regulation and dual process constructs - in addition to social cognitive constructs - such as the multi-process action control (M-PAC) framework, is lacking. Further, modes of intervention delivery have primarily focused on face-to-face delivery. This study explored the feasibility of a web-based intervention, informed by the M-PAC framework, to promote MVPA in mothers. METHODS: Forty-one inactive mothers of children <16 years of age were randomized to a 10-week web-based intervention (n = 20) or wait-list control (n = 21). Primary outcomes of recruitment and retention were measured with frequency counts; usability and satisfaction were measured via self-report questionnaires and qualitative interviews; secondary outcomes of MVPA and M-PAC constructs were assessed via self-report. RESULTS: Recruitment rate was 41% and retention rate was 88%. At least 80% of intervention participants reported satisfaction on each item of the satisfaction questionnaire and the mean usability score (M = 86.33 (/100), SD = 12.21) indicated above average usability. Each week, participants logged in on average 6.40 (SD = 3.00) times and spent a mean of 37.71 (SD = 20.21) minutes on the web-intervention. The qualitative exit interviews supported the high usability of the website and acceptability of the intervention and revealed suggestions for intervention improvement such as additional content targeting mothers and technological upgrades. Intervention participants had early positive markers of change in MVPA (81% compared to 58%; ηp2 = .00) and M-PAC constructs, particularly action control processes of habit (88% compared to 53%; ηp2 = .13), self-identity (69% compared to 50%; ηp2 = .08), and behavioural regulation (94% compared to 53%; ηp2 = .15). CONCLUSION: The high feasibility ratings of recruitment, retention, satisfaction, and usability demonstrated that the study can be extended to a full-scale RCT.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".