Normative Data for the Functional Movement Screen in Middle-Aged Adults
Bibliographic record
Abstract
The functional movement screen (FMS) is an easily administered and noninvasive tool for identifying weaknesses and asymmetry during exercises and daily activity. The clinical utility of FMS is currently limited by its lack of normative reference values. This study aimed to fill this void by providing normative reference values for healthy, middle-aged adults. Furthermore, we hypothesized that FMS would be affected by other factors such as age, body mass index (BMI), exercise participation, and Balance Error Scoring System scores. Six hundred and twenty-two healthy adults were assessed based on their performance on the 7-Point FMS. A higher level of exercise participation was associated with higher FMS scores, whereas higher BMI and age were associated with lower FMS scores. There was a significant difference between individuals with high (>30) and moderate BMIs (F[621] = 33.98, p < 0.0001). The normative reference values presented can be used in clinical practice to identify abnormal scores across a broad age spectrum.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".