Exploring the Impact of Online Mental Health Resources During the COVID-19 Pandemic on Lesbian, Gay, Bisexual, Transgender, Queer, and Questioning Adults Compared to Heterosexual Adults: Pretest-Posttest Survey Analyses
Notice bibliographique
Résumé
Background Lesbian, gay, bisexual, transgender, queer, and questioning (LGBTQ+) individuals faced greater mental health challenges during the COVID-19 pandemic than binary-gender heterosexual (non-LGBTQ+) adults. The Together for Wellness/Juntos por Nuestro Bienestar website with free well-being resources, developed during the COVID-19 pandemic with partner input, included LGBTQ+ resources. A pilot evaluation among adults (aged ≥18 years) found engagement with and use of the website 4 to 6 weeks before follow-up was associated with reduced (pretest-posttest) depression. Results for LGBTQ+ participants were not reported. Objective This study describes baseline depression, anxiety, and website engagement for LGBTQ+ compared with non-LGBTQ+ adults and pretest-posttest changes in depression and anxiety (the primary outcome). Methods Community partners invited health and social services providers, clients, and partners to visit the website and complete a survey app (Chorus Innovations) at baseline (September 20, 2021-April 4, 2022) and a 4- to 6-week follow-up (October 22, 2021-May 17, 2022). LGBTQ+ adults were compared to non-LGBTQ+ adults in demographics, website use, depression, and anxiety. Sensitivity analyses were adjusted for nonresponse (inverse probability weighting). Regression analyses identified predictors for reduction (pretest-posttest) in depression (2-item Patient Health Questionnaire [PHQ-2]) and anxiety (2-item Generalized Anxiety Disorder scale [GAD-2]). Results Of 315 adults who completed the baseline survey and 193 who completed the follow-up survey, 64 (20.3%) and 37 (19.2%), respectively, were LGBTQ+. At baseline, LGBTQ+ compared to non-LGBTQ+ adults had higher scores on the PHQ-2 (mean 2.4, SD 1.7 vs 1.3, SD 1.3; t294=5.31; P<.001) and GAD-2 (mean 2.7, SD 1.7 vs 1.6, SD 1.5; t295=4.96; P<.001) and more COVID-19 stressors (mean score 8.1, SD 4.4 vs 6.5, SD 4.0; t298=2.8; P=.003). Before follow-up, LGBTQ+ adults had similar website use (P=.65) and likelihood to recommend the website to others (P=.26) compared to non-LGBTQ+ adults. LGBTQ+ adults had more reduction (pretest-posttest) in mean GAD-2 scores (−0.8, SD 2.0 vs 0.0, SD 1.2; t177=−3.08; P=.002) and mean PHQ-2 scores (−0.7, SD 1.7 vs −0.1, SD 1.4; t180=−2.16; P=.03) compared to non-LGBTQ+ adults. For LGBTQ+ adults, predictors of pretest-posttest decline (adjusting for nonresponse) in mean GAD-2 scores included visiting the website and using resources 4 to 6 weeks before (β=−1.95, 95% CI −3.20 to −0.70; P=.003); for decline in mean PHQ-2, visiting website/using resources had a trend as predictor that was not significant adjusting for nonresponse (β=-.94 (-2.00, 0.013), P=.09). Conclusions LGBTQ+ adults reported higher baseline depression, anxiety, and COVID-19 stressors than non-LGBTQ+ adults. Among LGBTQ+ but not among non-LGBTQ+ adults, higher website use was associated with reduced anxiety over time. Findings suggest that online resources may promote well-being for LGBTQ+ adults in pandemics.
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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 | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 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 ».