Feasibility and Acceptability of the Project Faith Influencing Transformation Intervention in Faith-Based Settings.

African American community health diabetes prediabetes prevention

Journal

Health education & behavior : the official publication of the Society for Public Health Education
ISSN: 1552-6127
Titre abrégé: Health Educ Behav
Pays: United States
ID NLM: 9704962

Informations de publication

Date de publication:
18 Nov 2023
Historique:
medline: 18 11 2023
pubmed: 18 11 2023
entrez: 18 11 2023
Statut: aheadofprint

Résumé

African Americans (AAs) are disproportionately burdened with diabetes and prediabetes. Predominately AA churches may be optimal settings for reaching AAs at greatest diabetes risk, along with related morbidities and mortalities. The current study used the RE-AIM framework to qualitatively examine the feasibility, acceptability, and satisfaction with the Project Faith Influencing Transformation (FIT) intervention, a diabetes risk reduction intervention in AA churches. Participants were (

Identifiants

pubmed: 37978814
doi: 10.1177/10901981231211538
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

10901981231211538

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Alexandria G Bauer (AG)

Rutgers University-New Brunswick, Piscataway, NJ, USA.
University of Missouri-Kansas City, Kansas City, MO, USA.

Binoy Shah (B)

University of Missouri-Kansas City, Kansas City, MO, USA.

Nia Johnson (N)

Saint Louis University School of Medicine, St. Louis, MO, USA.

Natasha Aduloju-Ajijola (N)

University of Missouri-Kansas City, Kansas City, MO, USA.

Carole Bowe-Thompson (C)

University of Missouri-Kansas City, Kansas City, MO, USA.

Kelsey Christensen (K)

University of Missouri-Kansas City, Kansas City, MO, USA.

Jannette Y Berkley-Patton (JY)

University of Missouri-Kansas City, Kansas City, MO, USA.

Classifications MeSH