It's OK to Move! Effect of a Brief Video on Community Confidence in Activity Despite Back Pain: A Randomized Trial
Bibliographic record
Abstract
OBJECTIVE: To estimate the difference in confidence to become active despite low back pain in people who were exposed to one of 2 video interventions delivered on social media, compared to no intervention. DESIGN: A proof-of-concept, 3-group randomized controlled trial, in a 1:1:1 ratio. METHODS: Participants aged 18 years and over, with and without low back pain, were recruited via the social media channel Facebook, to view either a humorous video, a neutral video, or to no intervention. The videos were delivered online, explained evidence-based management for low back pain, and were designed to “go viral.” The primary outcome was confidence in becoming active despite pain, measured using the Pain Self Efficacy Questionnaire (Item 10) (ranges from 0 [not at all confident] to 6 [completely confident]) immediately after watching the video. We aimed to capture the real-time impact and immediate reactions that contributed to the content's reach. RESULTS: Among 1933 randomized participants (mean [standard deviation] age: 58.9 [14.0] years, 1285 [75%] women), 1232 [70%] had low back pain and 88.8% completed the primary outcome. One thousand two hundred sixty-four participants were randomized to receive a video intervention, and 633 participants did not receive a video. On a 6-point scale, individuals exposed to either video (n = 1088) showed a mean confidence level 0.3 points higher (95% confidence interval: 0.1, 0.6) compared with no video (n = 630). CONCLUSION: Participants who viewed a brief video intervention reported a very small difference in confidence to become active despite low back pain, compared with no intervention. The difference may lack clinical relevance. J Orthop Sports Phys Ther 2024;54(6):400-407. Epub 18 April 2024. doi:10.2519/jospt.2024.12412
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".