The impact of cell phone texting on superficial blood flow, touch threshold, and symptoms for individuals with carpal tunnel syndrome
Bibliographic record
Abstract
BACKGROUND: It is unclear how individuals with carpal tunnel syndrome (CTS) are affected by texting, or how the texting performance of those with CTS might be impaired or different from individuals without CTS. OBJECTIVE: The primary purpose of this case-control study was to determine the immediate effects of texting on superficial blood flow, sensory threshold, and symptoms of fatigue, numbness, and pain for individuals with CTS compared to asymptomatic age-matched controls. Another objective was to detect differences in texting performance between the two groups. METHODS: Superficial blood flow, pain, fatigue, numbness, and touch threshold were measured before, and at three time points following a standardized 15-minute texting task. Overall texting speed was compared between groups. RESULTS: Changes in red blood cell concentration after the texting task was not significantly different for either the CTS group or controls for any of the measurement time points. Mean touch thresholds at baseline were 4.0 g/mm2 for the CTS group versus 2.6 g/mm2 for healthy controls; a 53%greater touch threshold. Following the texting task, touch threshold did not change for normal controls, but increased to 6.7 g/mm2 for the CTS group, representing a significant increase in touch threshold from baseline. Texting performance was compromised in people with CTS, and symptoms worsened with a short-term controlled texting task. CONCLUSIONS: Our results suggest that texting performance is limited in individuals with CTS and that texting results in a short term increase in touch threshold values for individuals with CTS. Further study is needed to determine the effect of long term texting on carpal tunnel pressures.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".