Mental Health of Emergent Adults Living with Type 1 Diabetes in Canada: Aggregated National Survey, 2009 to 2019
Notice bibliographique
Résumé
While many aspects of the relationship between type 1 diabetes and mental health are known, that relationship has not often been assessed among emergent adults. There is even less research on the mental health of emergent adults living with type 1 diabetes in Canada. Literature about the link between type 1 diabetes and mental health generally indicates that type 1 diabetes is a risk factor for mental health concerns and may be exacerbated by racialized group status and lower socioeconomic status. Several other factors are considered as novel explorations. Immigrant status and living in a rural place are included based on federal policy and the geography of Canada, respectively. Household size and the presence of other chronic conditions are included as a measure of social contact and proxy for health and mental health access in this post-pandemic era, respectively. The potential moderating influences of age and gender were also explored. This dissertation examines the mental health of emergent adults living with type 1 diabetes via secondary data analysis. The data was collected by the Canadian Community Health Survey (CCHS) in five panels (2009 to 2019). A single hypothesis tested whether a diagnosis of type 1 diabetes among individuals aged 15 to 30 years negatively affected three mental health outcomes: self-perceived mental health, presence of a mood disorder, and presence of an anxiety disorder. Four secondary hypotheses were also tested: 1) whether risk for mental health concerns was moderated so that risk is even greater for individuals in marginalised racial groups, 2) whether risk was moderated so that the risk is even greater for those individuals with relatively low incomes, 3) whether risk was moderated so that the risk is different for different age groups, and 4) whether risk was moderated so that the risk differed by gender. Multivariable logistic regression analyses were completed with a total sample of 122, 393 individuals in the following breakdown: individuals living with type 1 diabetes (518) and individuals without type 1 diabetes (121,875). Results indicate that those individuals who live with type 1 diabetes were 45% to 50% more likely to report that their mental health was fair or poor. Further, the relationship between type 1 diabetes and the presence of a mood disorder (indicative of 30-40% elevated risk) approached statistical significance. No evidence was found for the hypothesised moderating effects of racialized groups, income, age, or gender. Though not statistically significant, these four null interactions were of seemingly great practical significance. It seems that the mental health risks that attend having type 1 diabetes among emergent adults in Canada are similar for White, Indigenous, and marginalised racial group members, those with relatively high or low household incomes, as well as for young men, men, young women, and women. The results from the present study greatly expand understanding of emergent adult mental health in the presence of type 1 diabetes in the unique Canadian context, providing novel insights into how emergent adults with type 1 diabetes in Canada differ from those similar individuals abroad. Furthermore, it can be used to deepen our understanding of the mental health concerns of all individuals aged 15 to 30 years who live in Canada as they may compare to their counterparts abroad.
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 | 0,002 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».