Dataset Information


Informing Tobacco Cessation Benefit Use Interventions for Unionized Blue-Collar Workers: A Mixed-Methods Reasoned Action Approach.

ABSTRACT: Blue-collar workers typically have high rates of tobacco use but low rates of using tobacco cessation resources available through their health benefits. Interventions to motivate blue-collar tobacco users to use effective cessation support are needed. Reasoned action theory is useful in this regard as it can identify the beliefs that shape tobacco cessation benefit use intentions. However, conventional reasoned action research cannot speak to how those beliefs can best be translated into intervention messages. In the present work, we expand the reasoned action approach by adding additional qualitative inquiry to better understand blue-collar smokers' beliefs about cessation benefit use. Across three samples of unionized blue-collar tobacco users, we identified (1) the 35 attitudinal, normative, and control beliefs that represented tobacco users' belief structure about cessation benefit use; (2) instrumental attitude as most important in explaining cessation intention; (3) attitudinal beliefs about treatment options' efficacy, health effects, and monetary implications of using benefits as candidates for message design; (4) multiple interpretations of cessation beliefs (e.g., short and long-term health effects); and (5) clear implications of these interpretations for creative message design. Taken together, the findings demonstrate how a mixed-method reasoned action approach can inform interventions that promote the use of tobacco cessation health benefits.


PROVIDER: S-EPMC6341474 | BioStudies | 2015-01-01

REPOSITORIES: biostudies

Similar Datasets

1000-01-01 | S-EPMC5984220 | BioStudies
2016-01-01 | S-EPMC5023596 | BioStudies
2015-01-01 | S-EPMC4658305 | BioStudies
2020-01-01 | S-EPMC7297100 | BioStudies
2020-01-01 | S-EPMC6971922 | BioStudies
2020-01-01 | S-EPMC7364825 | BioStudies
2014-01-01 | S-EPMC4520227 | BioStudies
2019-01-01 | S-EPMC6629519 | BioStudies
2020-01-01 | S-EPMC7552852 | BioStudies
2019-01-01 | S-EPMC6468129 | BioStudies