An Ecological Momentary Assessment Protocol to Measure Stress, Socialization, and Other Contributors to Smoking Behaviors Among LGBTQ+ Adolescents: Multimethod Evaluation of Feasibility, Acceptability, and Appropriateness From the Puff Break Research Study
Notice bibliographique
Résumé
Background: Smartphone-based ecological momentary assessment (EMA) methods highlight the impact of minority stress and socialization (eg, discrimination and social support) on smoking behaviors in lesbian, gay, bisexual, transgender, queer, and other sexual and gender minority (LGBTQ+) adults; however, studies among LGBTQ+ adolescents are limited. The Puff Break EMA protocol was developed to address this gap. Objective: This study aims to report on the acceptability, feasibility, and appropriateness of the Puff Break EMA protocol. Methods: We utilized a multimethod design to evaluate the acceptability, feasibility, and appropriateness of the Puff Break EMA protocol. Participants who reported tobacco/nicotine or cannabis product use within the last 30 days engaged in a 2-week EMA trial, receiving 5 daily assessments measuring tobacco, nicotine, and cannabis use, stress and socialization, and product craving. Posttrial, participants completed a 15-minute exit survey and 60-minute semistructured exit interview. The exit survey used the 12-item Weiner acceptability, appropriateness, and feasibility measures and 6-item Mobile Application Rating Scale, app-specific subscale and also included 7 open-ended responses. The exit interview focused on a review of participants' data to help understand smoking patterns and experiences with the Puff Break EMA protocol along with questions guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework to understand how a future EMA mobile intervention aimed at monitoring and reducing tobacco, nicotine, and cannabis product use could effectively be disseminated to, accessed by, and implemented with LGBTQ+ adolescents. Lastly, lessons learned were obtained through feedback and data collected throughout the study. Results: All 50 adolescents between the ages of 15-19 (mean 17.82, SD 1.19) were enrolled in the study August 2023 and July 2024. Participants predominantly reported using vaporized tobacco and nicotine products (47/50, 94%), followed by cannabis products (39/50, 78%). The study sample was diverse regarding sexual orientation and gender identities with 32% (16/50) identifying as gay or lesbian, 32% (16/50) bisexual or pansexual, and 14% (7/50) transgender (neither transmasculine nor transfeminine). The median EMA response rate was 75% (~53 of 70 EMA surveys). Results indicated high feasibility (mean 4.43, SD 0.77), acceptability (mean 4.15, SD 0.83), and appropriateness (mean 4.46, SD 0.67) of the Puff Break EMA protocol. The Mobile Application Rating Scale app-specific subscale also indicated high acceptability and feasibility for the EMA method to increase knowledge, awareness, and intentions to monitor tobacco/nicotine use (mean 4.14, SD 1.01). Triangulated results from closed and open-ended survey responses identified 5 key themes related to feasibility, acceptability, and appropriateness. Participants highlighted the ease of the Puff Break EMA protocol, prompt survey reminders, and increased product use awareness. Key feedback from exit interviews included increased flexibility for survey timing, better response-option alignment, and appropriate only for populations interested in monitoring or reducing their product use. Conclusions: Findings indicate that using EMA methods to understand the impact of stress and socialization experiences on smoking behaviors in LGBTQ+ adolescents is feasible, appropriate, and acceptable.
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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 | 0,055 | 0,036 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,002 |
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 ».