A Brief Report on Sex-Specific Differences in Persistent Depression, Anxiety, and Loneliness Among Canadian Veterans During the COVID-19 Pandemic
Notice bibliographique
Résumé
INTRODUCTION: Older adults are at increased risk of severe illness and mortality from Coronavirus disease of 2019 (COVID-19) infection. However, public health strategies aimed at reducing spread of COVID-19 may have resulted in increased mental health symptoms, particularly among older adults. Currently, little is known about whether older Veterans were more likely to experience persistent mental health symptoms during the COVID-19 pandemic than non-Veterans. The objectives of the current study were to (1) compare differences in persistent symptoms of anxiety, depression, and loneliness among a sample of Canadian Armed Forces Veterans and non-Veterans ≥55 years of age and (2) to evaluate potential sex-specific differences in persistent mental health symptoms. MATERIAL AND METHODS: The data for this study are drawn from a longitudinal survey of Canadian adults (55 years and older) during the COVID-19 pandemic. Ethical approval was received from the Women's College Hospital Research Ethics Board. Participants completed a baseline survey of sociodemographic, mental health-related, and COVID-19-related variables in May 2020 and 8 follow-up surveys monthly between May 2020 and January 2021. Modified Poisson regression models with robust standard errors were used to estimate risk of persistent symptoms of anxiety, depression, and loneliness. RESULTS: Eight hundred twenty-nine participants (13.7% [n = 114] Veterans) were included in the analysis of persistent depressive symptoms, 859 participants (14.0% [n = 120] Veterans) were included in the analysis of persistent anxiety symptoms, and 862 (13.9% [n = 120] Veterans) were included in the analysis of persistent symptoms of loneliness. When comparing male Veterans and non-Veterans, there were small but statistically insignificant differences in persistent symptoms of anxiety (adjusted relative risk [aRR], 0.59; 95% confidence interval [CI], 0.24-1.46), depression (aRR, 1.54; 95% CI, 0.63-3.77), or loneliness (aRR, 0.79; 95% CI, 0.36-1.75); similar small but statistically insignificant differences were observed in persistent symptoms of anxiety (aRR, 1.26; 95% CI, 0.51-3.09), depression (aRR, 1.16; 95% CI, 0.49-2.73), and loneliness (aRR, 1.33; 95% CI, 0.61-2.90) when comparing female Veterans to female non-Veterans. CONCLUSIONS: Qualitative, but statistically nonsignificant sex-specific differences in persistent symptoms of anxiety, depression, and loneliness during the early months of the COVID-19 pandemic were observed in this study comparing Veterans and non-Veterans. Additional sex-stratified analyses using larger samples or qualitative interviews may be useful in understanding the unique mental health experiences of older men, women, and gender diverse Veterans during the COVID-19 pandemic.
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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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,004 | 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) | 0,006 | 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 ».