Associations between daily variations in summer temperatures and mental health-related emergency department visits in Ontario, Canada
Notice bibliographique
Résumé
Background: According to the Intergovernmental Panel on Climate Change (IPCC), the 21 st century will be marked by an increase in the frequency, intensity, and duration of heat-related events.Several studies have assessed the effects of temperature on mental and behavioural disorders, most of which have reported increased risks.However, there is a paucity of investigations on certain mental and behavioural disorders.Moreover, a limited number of studies have investigated the impacts of apparent temperature, a metric computed using ambient temperature, relative humidity, and wind velocity.Evidence regarding effect modification is also limited and mixed.Objectives: This thesis aims to estimate associations between daily variations in ambient temperature and apparent temperature and the risk of emergency department visits for mental and behavioural disorders, as categorized by the Tenth Revision of the International Statistical Classification of Diseases (ICD-10), in Ontario, Canada.Additionally, this thesis seeks to examine how age, biological sex, material deprivation, social deprivation, tree canopy, and building density may modify the strength of these associations.Methods: A time-stratified case-crossover study was conducted using all emergency department visits for mental and behavioural disorders excluding disorders of intellectual development (ICD-10, F00-F69; F80-F99) registered in Ontario from 2004 to 2019, between June and September.Information regarding emergency department visits and demographic characteristics was derived from the National Ambulatory Care Reporting System (NACRS).Environmental and neighborhood characteristics were obtained from the Canadian Urban Environmental Health Research Consortium (CANUE).Weather data and air pollutant concentrations were extracted from Daymet and the National Air Pollution Surveillance (NAPS) program, respectively.Conditional logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) describing the relationships between daily variations in ambient temperature and the risk of emergency department visits for mental and behavioural disorders.Models were examined with and without adjusting for daily mean ozone (O 3 ), nitrogen dioxide (NO2), and fine particulate matter (PM2.5)concentrations, and effect modification by age, iii biological sex, material deprivation, social deprivation, tree canopy, and building density was evaluated using stratified analyses.All analyses were reproduced using apparent temperature.Results: In total, 1,107,614 emergency department visits for mental and behavioural disorders excluding disorders of intellectual development were recorded during the study period.The association between temperature and the risk of emergency department visits for mental and behavioural disorders overall was strongest for lag 0 (OR: 1.0219 per 5 °C increase in ambient temperature, 95% CI: 1.0172, 1.027) and decreased with increasing lag time.The risk of emergency department visits for mental and behavioural disorders overall was similar in males (OR: 1.021 per 5 °C increase in the 3-day mean ambient temperature, 95% CI: 1.0136, 1.029) and females (OR: 1.0173 per 5 °C increase in the 3-day mean ambient temperature, 95% CI:1.0094, 1.025).Conversely, temperature was associated with a lower risk of emergency department visits for mental and behavioural disorders overall among those aged 17 years and younger (OR: 0.9158 per 5 °C increase in the 3-day mean ambient temperature, 95% CI: 0.8987, 0.9333) and those least socially deprived (OR: 0.9948 per 5 °C increase in the 3-day mean ambient temperature, 95% CI: 0.9615, 1.029).Associations between apparent temperature and the risk of emergency department visits for mental and behavioural disorders were comparable to those described for ambient temperature.Conclusion: Overall, this thesis suggests that increases in summer temperatures are associated with an increased risk of emergency department visits for mental and behavioural disorders in adults, both overall and for most groups of conditions studied.Augustinavicius.Your valuable expertise, thoughtful feedback, and generous mentorship have been instrumental to my academic growth.I would also like to acknowledge my committee member, Dr. Eric Lavigne, for his time and guidance, my professors
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».