ArticlePreventive medicine reports2023
Tobacco-control policy support among people from low socioeconomic positions in Massachusetts.
Article in Preventive medicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Trends in Combustible Cigarette Smoking, Electronic Cigarette Use, and Related Behaviors among Korean Adults: An 11-Year Analysis of Data from the Korea National Health and Nutrition Examination Survey (2013-2023).Tuberculosis and respiratory diseases · 2026Article
- Peer tobacco use, media exposure, and support for tobacco control policies among medical and public health students in Georgia: A cross-sectional study.Tobacco induced diseases · 2026Article
- Facilitating Access to Mental Health Services: A Stakeholder-Driven Improvement of the Children and Young People (CYP) as One Referral Platform.International journal of environmental research and public health · 2024Article
- Promoting support for tobacco control: The roles of online and offline health information seeking.Digital healthArticle
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
People from low socioeconomic positions (SEP) are at a higher risk of smoking, face greater barriers to smoking cessation, and have lower access to health information. To improve tobacco-related health outcomes, policies requiring altering labeling on cigarette packs could be implemented. However, public support is needed to influence the policymaking process. We assessed factors associated with supporting tobacco-control communication policies. We analyzed data from Project CLEAR, a study conducted in Massachusetts. The analytic sample included participants who answered questions on their support for three policies: 1) graphic health warnings (GHWs), 2) Quitline number, and 3) smoking cessation information on cigarette packs (n = 357). Binomial logistic regression modeling was conducted by policy. Independent variables included demographic characteristics and smoking status. We found that younger vs. older individuals (aOR = 0.41, 95 %CI:0.23-0.72), males vs. females (aOR = 0.58, 95 %CI:0.35-0.96), and people who smoke vs. those who don't smoke (aOR = 0.41, 95 %CI:0.24-0.70) were less likely to support a law requiring GHWs. Participants with a low vs. higher level of education (aOR = 0.55, 95 %CI:0.32-0.95) were less likely to support a law requiring a Quitline number. Younger (18-39) vs. older individuals (aOR = 0.53, 95 %CI:0.29-0.94), males vs. females (aOR = 0.57, 95 %CI:0.34-0.96), and participants with a low vs. higher level of education (aOR = 0.56, 95 %CI:0.32-0.98) were less likely to support a law requiring cessation information on cigarette packs. Findings suggest that targeted theory-based public health and communication strategies should be developed to increase awareness and support towards policies that would help reduce cigarette smoking among people from low SEP to eliminate tobacco-related health inequities in the US.
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