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Enregistrement W6940865215 · doi:10.13016/dspace/7nkh-wvpp

2022 UMD-PRC Community Health Needs Assessment Report: Investigating Tobacco Use and Cessation Experiences of LGBTQ Youth and Young Adults in Prince George’s and Montgomery County, Maryland

2023· other· en· W6940865215 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity Libraries (University of Maryland) · 2023
Typeother
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueMycorrhizal Fungi and Plant Interactions
Établissements canadiensnon disponible
Organismes subventionnairesCenters for Disease Control and Prevention
Mots-clésNeeds assessmentTobacco controlFocus groupTobacco useCommunity healthReproductive healthHealth literacyHealth promotionSmoking cessation

Résumé

récupéré en direct d'OpenAlex

Funded by the Centers for Disease Control and Prevention (CDC), the current needs assessment was led by the University of Maryland Prevention Research Center (UMD-PRC) in conjunction with the UMD Center for Health Literacy and the Maryland Department of Health to better understand tobacco use among Black and Latino/a/x lesbian, gay, bisexual, transgender, queer, and other sexual and gender diverse (LGBTQ) youth and young adults in Prince George’s and Montgomery counties. The Maryland Department of Health and the University of Maryland Institutional Review Boards approved the project. The goals of the community needs assessment were to identify health needs among Black and Latino/a/x LGBTQ communities related to tobacco use, factors associated with health and tobacco use for these communities, and the strengths and resources available to address these needs and associated factors. The degree to which existing tobacco prevention and cessation health campaigns resonate with Black and Latino/a/x young adults was also assessed. Needs Assessment The needs assessment took place from April to September 2022 and included seven focus groups with Black and Latino/a/x LGBTQ people aged 18-30 with various histories of tobacco use, key informant interviews with community stakeholders, analysis of state-level health surveillance data, a review of county and state tobacco resources and programs, and a literature review of existing tobacco and cessation messaging focused on LGBTQ communities. The project’s Community Advisory Board (CAB) – comprised of Black, Latino/a/x, and LGBTQ-focused service providers and community members in Prince George’s and Montgomery counties – provided feedback the report. They also offered ideas regarding action items that resulted from the data. Results will inform upcoming project initiatives, including the development of a health communication campaign and community outreach programs. The assessment yielded the following findings: State Surveillance Data • We used data from the 2018-2019 Maryland Youth Risk Behavioral Survey/Youth Tobacco Survey (YRBS/YTS, aged ~13-18) and 2018-2019 Maryland Behavioral Risk Factor Surveillance System (BRFSS, aged 18 and older). • Our sample was restricted to participants from Prince George’s and Montgomery counties and analyzed to assess tobacco use behaviors by sexual orientation and gender identity, as well as correlates of these behaviors. • Results showed greater cigarette use, e-cigarette use, cigar use, and early initiation among LGBTa residents relative to cisgender, heterosexual residents (i.e., non-LGBT). • We did not observe differences in poor physical and mental health days between adult LGBT and non-LGBT respondents. • Among youth, all tobacco use behaviors were higher among LGBT youth who reported feeling sad or hopeless and experiences of bullying when compared to LGBT youth who did not experience these feelings and interactions. Focus Groups • Seven focus groups were conducted with residents aged 18-30 in Prince George’s and Montgomery counties (30 participants total). • Participants discussed using tobacco to cope with life stressors. • Focus group conversations highlighted the links between tobacco use, mental health, and discrimination. • Participants were unaware of most general or community-specific tobacco prevention and cessation resources. Stakeholders Interviews • Six key informant interviews were conducted with community service professionals from organizations serving LGBTQ, Black, and/or Latino/a/x residents in Prince George’s and Montgomery counties. • One organization reported an increase in tobacco use among clients since the start of the COVID-19 pandemic. • All stakeholders were interested in receiving tobacco prevention and cessation resources and support. • Stakeholder interviewers emphasized the mental health and substance use concerns among clients. Top Issues and Priorities Through stakeholder interviews, focus group discussions, and review of the literature and existing campaigns, the following priorities were established: • Tobacco use services do not appear to be a priority for local LGBTQ-serving organizations. • Tobacco prevention/cessation messaging and services should be paired with other topics, including mental health, stigma, coping, and peer pressure. • Our initial age range of focus (12-30 years) is too large to develop a single tailored communication health campaign; therefore, we will restrict our focus to Black and Latino/a/x youth aged 15-20. This decision was based on our literature review and focus group findings, but also to emphasize prevention and cessation early in the life course. • Communication channels for exposure to tobacco advertisements and prevention messages differed across both Black and Latino/a/x focus groups, suggesting channel preferences for our own tobacco messages. • Tobacco prevention and cessation campaign messages should be disseminated in traditional and digital formats that consider preferences and needs. • Smoking prevention and cessation messages for Black and Hispanic LGBTQ young adults must be carefully tailored to avoid stereotypes while appealing to cultural values. • The literature review shows a critical gap in existing research that tests and evaluates the effectiveness of tobacco and prevention control (TPC) messaging targeted at Black and Latino/a/x LGBTQ communities.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,491
Score d'incertitude au seuil0,941

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,017
Tête enseignante GPT0,190
Écart entre enseignants0,173 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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