The association between music education in high school and academic and mental health outcomes among grade 12 students in Winnipeg, Manitoba from 2009/10-2017/18
Bibliographic record
Abstract
Introduction: Educators contend that music programs benefit students, in terms of both academic achievement and mental wellness. Most studies assessing the relationship between music education and adolescent outcomes focus on academic achievement and have found mixed results. Although there is some evidence of the benefits of music programs to mental wellness, research looking at diagnoses of mental disorders related to music education is lacking, as is research within the Canadian context. Objectives: This retrospective cohort study investigated the association between being enrolled in high school for-credit music courses and i) academic outcomes and ii) mental disorder diagnoses while adjusting for several health and social covariates. The potentially moderating effects of sex and income level were also investigated. Methods: Administrative data housed by the Manitoba Centre for Health Policy (MCHP) were linked together to examine the relationship between the number of music courses taken and grade 12 mathematics and language arts achievement test marks, on-time graduation rates, and diagnosis with a mental disorder (ADHD, substance use disorder, mood or anxiety disorder, or any of these three mental disorders). To examine the risk of diagnosis after exposure to music courses, students with a diagnosis prior to grade 9 were excluded from the appropriate analyses. Grade 12 achievement tests were analyzed using multiple linear regression, on-time graduation using logistic regression, and mental disorder diagnoses using survival analysis. All analyses adjusted for several student characteristics including sex, income level, residential mobility, income assistance, involvement with child protection services, and prior academic achievement. Results: Taking any music courses was statistically significantly (p<.05) associated with higher marks on grade 12 mathematics and language arts achievement tests. The odds of graduating on time were also positively associated with taking music courses. This relationship was stronger for female students than male students. Taking 3 or more music courses was associated with a decreased risk of being diagnosed with a substance use disorder. For ADHD diagnosis rates, the only statistically significant difference was for students taking 1-2 music courses compared with non-music students. No association was found between music courses and mood or anxiety disorders. Moderating effects of sex and income level were found in some relationships between music courses and academic outcomes, but none were found in the relationships between music courses and mental disorders. Conclusions: Taking music courses was associated with better academic outcomes for grade 12 achievement tests as well as on-time graduation rates. Findings were mixed regarding the statistical significance of the association with a mental disorder diagnosis – taking music courses was associated with a decreased risk of a substance use disorder or ADHD diagnoses, but there was no relationship with a diagnosis of a mood or anxiety disorder. The statistical significance of the relationship of sex and income level with these findings varied across academic and mental disorder outcomes. These results suggest promising benefits of music courses to academic and mental health outcomes and point to continued support of music courses in Manitoba schools. Sex and income levels should be considered when planning music courses, given the moderating effects of sex and income levels found in some relationships between music courses and academic outcomes. Further research should continue to consider the underlying factors of the relationship between music courses and student outcomes, especially those related to mental disorder diagnoses as there is a paucity of research in this area.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".