Methods: Self-reported mental health was measured by the number of days in the previous month respondent's mental health was “not good” and was categorized into three groups: 0, 1-29 and all 30 days. Aggregated state tobacco control indicators (smoke-free air law and cigarette excise tax) were merged into the database. We conducted logistic regression with SUDAAN software to adjust for the complex sample design.
Results: Participants with the poorest mental health had the highest rates of smoking (38.1%), followed by those with some poor mental health days (23.3%) and those with good past month mental health (16.7%). Current smoking for each category of mental health was lower among those in states with more stringent smoke-free air laws compared to those with less stringent laws. Likewise, smoking rates were lower among those in states with higher cigarette excise taxes across all mental health categories. After adjusting for demographic characteristics, the effects of smoke-free air laws and excise taxes were similar across all levels of mental health.
Conclusions: Effective tobacco control policies, such as smoke-free air laws and taxation, similarly influence smokers with poor mental health.
Learning Objectives:
1. Describe tobacco use among persons with poor mental health
2. Assess the impact of tobacco control policies on smoking rates among persons with poor mental health
Keywords: Tobacco Control, Mental Health
Qualified on the content I am responsible for because: Current doctoral candidate in epidemiology. Contributed to conceptualizing study, analyzed and interpreted the data and as part of a team, authored the abstract.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.
See more of: Alcohol, Tobacco, and Other Drugs
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