Presentation description

Introduction: Biopsychosocial factors are associated with smoking behavior, including quit attempts. This secondary analysis examines the association between health-related trust in commercial and governmental health systems and quit attempts among adult cigarette users.

Methods: We conducted a secondary analysis of data gathered from adults between the ages of 21 and 65 years from Prolific crowdsourcing web panels. Participants were eligible to participate if they had a self-reported smoking status of current or recent smoking. We conducted bivariate and logistic regressions to examine the effect of health-related trust (healthcare mistrust, U.S. surgeon general trust and tobacco industry trust) on two outcomes: 1) a serious attempt to quit smoking in the last year that lasted 24 hours and 2) a quit attempt in the last 30 days.

Results: Among 542 cigarette users the majority were men (55.9%). Our sample was comprised of 44.8% Non-Latinx White, 24.7% Non-Latinx Black, 21.6% Latinx, and 8.9% Non-Latinx Asian individuals. The overall mean of the Health Trust Scale (scored 1-50) was 30.33. One-way ANOVAs revealed significant differences between healthcare mistrust and race (p=.006), however, two-way ANOVAs did not reveal any associations between race, healthcare mistrust and either of our outcomes. Kruskal-Wallis tests revealed significant differences between race, U.S. surgeon general trust (p < .001) and tobacco industry trust (p= .017) with each of our two outcomes. Logistic regressions revealed significant differences between race/ethnicity and level of trust in the surgeon general on quit attempts in the last 30-days and between race/ethnicity and level of tobacco industry trust on quit attempts within the last year that were over 24-hours.

Conclusion: Our data highlights trust in health promotion and commercial entities are associated with quit attempts among racial and ethnic minorities. Next steps are to explore the interaction between these relationships accounting for relevant socioeconomic factors.