Physical activity promotion in chiropractic: a systematic review of clinician-based surveys
Bibliographic record
Abstract
BACKGROUND: Physical inactivity is a global health pandemic. Allied healthcare providers, including chiropractors, are well placed to integrate individual physical activity (PA) promotion into routine care. A previous systematic review identified that approximately 90% of chiropractors held a positive opinion towards healthier patient lifestyles; however, the extent to which chiropractors promote PA to their patients within routine care is unclear. This systematic review aimed to describe chiropractors' attitudes towards and current practice in advising, counselling, discussing, supporting, or recommending PA to patients. METHODS: Five databases were searched from inception to December 2021 for cross-sectional surveys that explored PA promotion by chiropractors in practice. We assessed the risk of bias of the included studies with the 'Risk of Bias in Cross-Sectional Surveys of Attitudes and Practices' tool. Descriptive data were extracted, grouping similar survey questions and responses into emerging categories. Chiropractors' views regarding the perceived importance and/or their preparedness to counsel and provide PA or exercise information are reported. RESULTS: From 661 studies, 15 met the selection criteria. Surveys included 7999 chiropractors primarily from the USA, UK, Australia, and Sweden. All studies were rated as moderate-to-high risk of bias, with methodological weaknesses characterised by inconsistent reporting of missing data, non-representative samples, low response rates (i.e., less than 60%), and unknown validity of survey instruments. Chiropractors frequently recognised the importance of PA promotion, as demonstrated by the proportion of respondents reporting that they: (1) support the importance of providing PA or exercise information and counselling (64% to 100%); (2) are prepared to provide PA or exercise information and/or counselling to patients (91% to 92%,); (3) frequently obtain PA or exercise information from patients (87% to 97%,); 4) frequently discuss PA or exercise and/or provide PA or exercise information to patients (68% to 99%); and 5) frequently provide PA counselling to patients (50% to 81%.). CONCLUSION: A large majority of practising chiropractors actively engage with PA promotion. However, the results should be interpreted with caution owing to the moderate-to-high risk of bias of the included studies. Forthcoming research initiatives should explore unbiased surveys, further PA education and training as well as capitalising on chiropractors' own PA participation.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".