Chronic disruptive pain in emerging adults with and without chronic health conditions and the moderating role of psychiatric disorders: Evidence from a population-based cross-sectional survey in Canada
Bibliographic record
Abstract
BACKGROUND AND AIMS: There has been a growth in the proportion of emerging adults vulnerable to pain-related sequelae of chronic health conditions (CHCs). Given the paucity of research during this important developmental period, this study investigated the association between CHCs and chronic disruptive pain among emerging adults and the extent to which psychiatric disorders moderate this association. METHODS: Data come from the 2012 Canadian Community Health Survey - Mental Health (CCHS-MH). This cross-sectional survey included 5987 participants that were 15-30 years of age and self-reported their CHCs (n=2460, 41%) and the extent to which pain impacted daily functioning using items from the Health Utilities Index Mark 3 (HUI 3). Group comparisons between respondents with CHCs and healthy controls were made using chi-square tests. Odds ratios (OR) and 95% confidence intervals (CI) were computed from ordinal logistic regression models adjusting for sociodemographic covariates. Product-term interactions between CHCs and psychiatric disorders were included in the models to explore moderating effects. All analyses were weighted to maintain representativeness of the study sample to the Canadian population. RESULTS: =222.28, p<0.001). Similarly, in logistic regression models, participants with CHCs had greater odds of reporting chronic disruptive pain (OR=4.94, 95% CI=4.08-5.99). Alcohol (β=-0.66; p=0.025) and drug abuse/dependence disorders (β=-1.24; p=0.012) were found to moderate the association between CHCs and chronic disruptive pain. Specifically, the probability of chronic disruptive pain was higher for emerging adults without CHCs and with alcohol or drug disorders; however, among participants with CHCs, probability was higher for those without these disorders. CONCLUSIONS: There is a robust association between CHCs and chronic disruptive pain. The moderating effects suggest that alcohol or drug disorders are especially harmful for emerging adults without CHCs and contribute to higher levels of chronic disruptive pain; however, among those with CHCs, alcohol and illicit drugs may be used as a numbing agent to blunt chronic disruptive pain. IMPLICATIONS: Findings from this study have implications for the integration and coordination of services to design strategies aimed at managing chronic disruptive pain and preventing pain-related disabilities later in life. Within the health system, healthcare providers should engage in dialogues about mental health and substance use regularly with emerging adults, be proactive in screening for psychiatric disorders, and continue to monitor the impact of pain on daily functioning. Given the age range of emerging adults, there is tremendous opportunity for clinicians to work cooperatively with colleagues in the education system to support emerging adults with and without CHCs. Overall, clinicians, researchers, educators, and those in social services should continue to be mindful of the complex interrelationships between physical and mental health and chronic disruptive pain and work cooperatively to optimize health outcomes and prevent pain-related disabilities among emerging adults.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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".