The Betel Nut Intervention Trial (BENIT)-A Randomized Clinical Trial for Areca Nut and Betel Quid Cessation: Primary Outcomes.

Betel Nut Intervention Trial areca nut betel quid cessation clinical trial oral cancer

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
21 08 2023
Historique:
received: 19 06 2023
revised: 01 08 2023
accepted: 16 08 2023
medline: 28 8 2023
pubmed: 25 8 2023
entrez: 25 8 2023
Statut: epublish

Résumé

Areca nut and betel quid (ANBQ) chewing is a widespread carcinogenic habit. The BENIT (ClinicalTrials-NCT02942745) is the first known randomized trial designed for ANBQ chewers. We compared the intensive behavioral treatment intervention condition (IC) with the control condition (CC) in the BENIT and included a 5-stage early stopping rule. We report the primary analysis at stage 3. English-literate adults in Guam and Saipan who self-identified as ANBQ chewers with tobacco were enrolled between August 2016 and August 2020. IC participants ( Cessation rates were 38.6% (IC) and 9.1% (CC). Proportional hazards regression revealed a Robust self-reported intervention effects at day 22 suggest that intensive cessation programs such as BENIT should be further developed and implemented on a larger scale.

Sections du résumé

BACKGROUND
Areca nut and betel quid (ANBQ) chewing is a widespread carcinogenic habit. The BENIT (ClinicalTrials-NCT02942745) is the first known randomized trial designed for ANBQ chewers.
METHODS
We compared the intensive behavioral treatment intervention condition (IC) with the control condition (CC) in the BENIT and included a 5-stage early stopping rule. We report the primary analysis at stage 3. English-literate adults in Guam and Saipan who self-identified as ANBQ chewers with tobacco were enrolled between August 2016 and August 2020. IC participants (
RESULTS
Cessation rates were 38.6% (IC) and 9.1% (CC). Proportional hazards regression revealed a
CONCLUSIONS
Robust self-reported intervention effects at day 22 suggest that intensive cessation programs such as BENIT should be further developed and implemented on a larger scale.

Identifiants

pubmed: 37623205
pii: ijerph20166622
doi: 10.3390/ijerph20166622
pmc: PMC10454381
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT02942745']

Types de publication

Randomized Controlled Trial Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NCI NIH HHS
ID : U54 CA143728
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA071789
Pays : United States
Organisme : NCI NIH HHS
ID : U54 CA143727
Pays : United States

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Auteurs

Thaddeus A Herzog (TA)

University of Hawaii Cancer Center, University of Hawaii at Manoa, 701 Ilalo Street, Honolulu, HI 96813, USA.

Lynne R Wilkens (LR)

University of Hawaii Cancer Center, University of Hawaii at Manoa, 701 Ilalo Street, Honolulu, HI 96813, USA.

Grazyna Badowski (G)

University of Guam Cancer Research Center, University of Guam, Mangilao, GU 96923, USA.

Ana Joy Pacilan Mendez (AJP)

University of Guam Cancer Research Center, University of Guam, Mangilao, GU 96923, USA.

Adrian A Franke (AA)

University of Hawaii Cancer Center, University of Hawaii at Manoa, 701 Ilalo Street, Honolulu, HI 96813, USA.

Pallav Pokhrel (P)

University of Hawaii Cancer Center, University of Hawaii at Manoa, 701 Ilalo Street, Honolulu, HI 96813, USA.

Jade S N Chennaux (JSN)

University of Guam Cancer Research Center, University of Guam, Mangilao, GU 96923, USA.

Lynnette F Tenorio (LF)

University of Guam Cancer Research Center, University of Guam, Mangilao, GU 96923, USA.

Patrick P Sotto (PP)

University of Guam Cancer Research Center, University of Guam, Mangilao, GU 96923, USA.

Crissy T Kawamoto (CT)

University of Hawaii Cancer Center, University of Hawaii at Manoa, 701 Ilalo Street, Honolulu, HI 96813, USA.

Yvette C Paulino (YC)

University of Guam Cancer Research Center, University of Guam, Mangilao, GU 96923, USA.

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Classifications MeSH