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- Title
Using graphic text-messaging to promote smoking cessation among first-generation Chinese and Korean male immigrants.
- Authors
Zhao, Xiaoquan; Peterson, Emily B; Oh, Kyeung Mi; Cai, Xiaomei
- Abstract
First-generation Chinese and Korean male immigrants in the United States are at high risk for tobacco use. This study pilot-tested a graphic, native-language text-messaging intervention to promote smoking cessation among these groups. First-generation Chinese and Korean male immigrant smokers (N = 71) were recruited from the Washington DC area. Participants were randomly assigned to one of four conditions based on a between-subjects 2 (graphic plus text or text-only messages) × 2 (quitline information or quitting tips) design. The text-messaging intervention included 30 text messages in total and lasted one month. Participants completed an expired air carbon monoxide (CO) assessment and self-reported measures at both baseline and follow-up. Results show that, from baseline to follow-up, participants' expired air CO levels decreased significantly (P = 0.001). Attitude toward quitting also became more positive (P = 0.028). Compared with text-only messages, graphic text messages produced greater positive changes in quitting attitudes (P = 0.039) and elicited greater fear response (P = 0.005). Compared with quitting tip messages, quitline information resulted in greater regret (P = 0.016) and fear (P = 0.051). These findings suggest that graphic text-messaging can be an effective method to promote smoking cessation among first-generation Chinese and Korean male immigrants.
- Subjects
WASHINGTON (D.C.); ADULTS; CARBON monoxide analysis; ANALYSIS of covariance; ANALYSIS of variance; ATTITUDE (Psychology); CHINESE people; GRAPHIC arts; HEALTH promotion; IMMIGRANTS; KOREANS; LONGITUDINAL method; MEN'S health; RESEARCH funding; STATISTICAL sampling; SELF-evaluation; SMOKING cessation; LOGISTIC regression analysis; TEXT messages; PILOT projects; RANDOMIZED controlled trials; PRE-tests &; post-tests; REPEATED measures design; EVALUATION of human services programs; DATA analysis software; DESCRIPTIVE statistics
- Publication
Health Education Research, 2019, Vol 34, Issue 3, p332
- ISSN
0268-1153
- Publication type
Article
- DOI
10.1093/her/cyz006