Environmental Enrichment and Health Outcomes Among Low-Grade Glioma Brain Tumor Survivors
Bibliographic record
Abstract
ABSTRACT: BACKGROUND: Brain tumor survivors who received radiotherapy (RT) are at a disproportionately increased risk of accelerated aging and symptom burden. We aim to examine the association between environmental enrichment (EE) and health outcomes among low-grade glioma survivors who received brain RT. METHODS: The study used a cross-sectional cohort design, enrolling participants approximately 5 years from diagnosis. The construct of EE consisted of social network, physical activity, employment status, and financial stability. Berkman-Syme Social Network Index, International Physical Activity Questionnaire, Vocational Index Scale, and a Socioeconomic Questionnaire were used to measure the construct of EE. Health outcome measures included the Montreal Cognitive Assessment, Symbol Digit Modality Test, clinical brain magnetic resonance images (pre-RT, approximately 2-3 years after RT, and approximately 5 years after RT), Karnofsky Performance Status Scale, and the MD Anderson Symptom Inventory Brain Tumor Module. Ordinal logistic regression estimated the association between levels of EE and health outcomes. RESULTS: Thirty-nine participants completed the study and experienced varying levels of EE. The median age was 44 years old, ranging from 26 to 78 years old. Nineteen individuals were diagnosed with oligodendroglioma, and 18 were diagnosed with astrocytoma. Thirteen participants had low EE, 17 had moderate EE, and 9 had high EE. Although not statistically significant, we observed patterns of increasing health outcomes (Montreal Cognitive Assessment, Symbol Digit Modality Test, and Karnofsky Performance Status Scale) related to increasing levels of EE. CONCLUSION: This study is an initial exploration into the role of EE in health outcomes and survivorship programs for persons with glioma. Future research should assess EE before treatment or at the time of diagnosis and be longitudinal to accurately ascertain the association between EE and health outcomes. Comprehensive neuro-oncology survivorship programs structured to facilitate EE may reduce symptom burden, promote neuroplasticity, and improve cognitive and functional outcomes after brain radiation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".