The Relationship Between Physical Activity, Depression and Symptom Burden in individuals With Persistent Post Concussion Symptoms : a Chart Review
Bibliographic record
Abstract
INTRODUCTION: Individuals with Persistent Post Concussion Symptoms (PPCS) are at greater risk for depression and often experience exercise intolerance contributing to increased sedentary activity. Physical activity (PA) alone has been shown to reduce symptoms of mild to moderate depression to the same extent as standard treatments. Additionally, people who are regularly physically active assign higher ratings to their mental health. In Canadian youth, both physical inactivity and sedentary activity were significantly related to symptoms of depression. While there is increasing evidence that aerobic exercise following concussion can improve recovery, the relationship between depression, PA and symptom burden in individuals with PPCS has not been characterized. OBJECTIVE/HYPOTHESIS: This study seeks to shed light on the relationship between depression, PA and symptom burden in adults with PPCS. We anticipate those with increased sedentary behavior and lower levels of PA will have greater depressive scores. Additionally, we hypothesize that those with greater symptom burden will have higher rates of depression, participate in less PA, and engage in more sedentary behaviors. METHODS: A prospective cohort chart study of adult patients referred to the Calgary Brain Injury Program at Foothills Medical Centre in Calgary, Alberta, CAN between 2012-2017 was conducted. Inclusion criteria was a diagnosis of both concussion and persistent concussion symptoms (i.e., greater than 3 months). Patient demographics and injury characteristics were collected. The Patient Health Questionnaire-9 (PHQ-9) was used to screen for depression. PA levels were measured using the Godin Leisure Time Exercise Questionnaire (GLTEQ), while sedentary behaviors were accessed using the Rapid Assessment Disuse Index (RADI). Symptom burden was quantified using The Rivermead Post Concussion Symptoms Questionnaire. Descriptive statistics were applied for patient demographics. Spearman correlations were run between the RADI inactivity risk index and PHQ-9 scores/ Rivermead scores and between the GLTEQ and PHQ-9 scores/ Rivermead scores. Spearman correlations were also run between PHQ-9 scores and Rivermead scores. RESULTS: Of the 604 records reviewed, 46 individuals (43% male, 57% female) met inclusion criteria. Participants had a mean age of 35.6 (13) years at time of injury with 46% having a history of prior head injury. Spearmanu2019s correlation analyses revealed no significant correlation between PA and depression or symptom burden. A significant positive correlation was found between the RADI inactivity risk index, and depression scores, rs (46) = .389, p = .008. Additionally, increased symptom burden was positively correlated with increased depression scores, rs (46) = .531, p < .001.CONCLUSION: These findings provide insight into the contribution of sedentary behavior to levels of depression in individuals with PPCS. This suggests that while the benefits of physical activity may be abundant, although not observed in this population, focus on decreasing sedentary behaviors should also be emphasized.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".