Severe disability and self-reported depression and anxiety among persons living with Type 2 diabetes in Canada
Notice bibliographique
Résumé
• The prevalence of self-reported depression and anxiety among persons living with Type 2 diabetes in Canada was 12.4% and 10.1% respectively. • Severe disability was reported by 21% of those living with Type 2 diabetes. • Severe disability was significantly associated with both depression and anxiety disorders. • Dissatisfaction with life, extremely stressful life events, being single, female sex, obesity, poor self-rated health, and current smoking status were significant risk factors for both mental health disorders. • Increasing age and higher income status were significant protective factors for depression and anxiety among those living with Type 2 diabetes in Canada. This study aims to estimate the national prevalence of self-reported depression and anxiety disorders among persons living with Type 2 diabetes in Canada, as well as to investigate the potential link between disability severity and these conditions. We conducted a cross-sectional analysis of a subsample (N=8,321) of participants living with Type 2 diabetes in the 2017-2018 Canadian Community Health Survey-Annual Component. Modified Poisson regression models were used to examine the association between disability severity and depression and anxiety disorders. Descriptive statistics, prevalence estimates, adjusted relative risk, and 95% confidence intervals are reported. All statistical analyses were conducted using STATA version 18. The prevalence of depression and anxiety were 12.4% and 10.1% respectively. Our study found disability severity as a strong risk factor for both psychiatric disorders. We also found (1) dissatisfaction with life, (2) extremely stressful life events, (3) being female (4) single or never married, (5) poor self-rated health, (6) obesity, and (7) current smoker as significant risk factors for both psychiatric disorders. Conversely, increasing age and higher annual personal income status were significant protective factors. The study's limitations include the inability to establish temporal connections between risk factors and psychiatric disorders due to the cross-sectional design and the exclusion of those living in remote parts of the country and others from participation in the survey, which may underestimate the prevalence of Type 2 diabetes and severe disability. This study's findings point toward a growing demand for tertiary prevention to increase the probability for those living with Type 2 diabetes in Canada of maintaining functional health, improving mental health, and having a better quality of life. Public health prevention efforts targeted at decreasing the prevalence of diabetes and its complications and disability severity are recommended.
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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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| 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) | 0,001 | 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 ».