Tobacco dependence is a chronic condition, with cigarette smoking considered the leading cause of preventable death, disease, and disability in the U.S. Currently, the U.S. adult smoking rate is 17.8%. National surveys reveal that approximately half of all smokers who have been treated by a healthcare provider in the last 12 months received Public Health Service-recommended guideline-concordant tobacco dependence treatment. Although smoking prevalence has been declining, several disparate groups continue to smoke at rates significantly higher than the national average, including those with low income, low educational attainment, or mental health disorders. To address these disparities and more effectively address tobacco use, provision of guideline-concordant tobacco dependence treatment within the healthcare system must improve. We discuss changes to the medical licensing examination that may result in enhanced tobacco dependence treatment education and skills training for students in medical school.
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http://dx.doi.org/10.1016/j.amepre.2015.04.005 | DOI Listing |
J Med Internet Res
January 2025
Centre for Research in Media and Communication, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Selangor, Malaysia.
Background: Cardiovascular disease (CVD) is a major global health issue, with approximately 70% of cases linked to modifiable risk factors. Digital health solutions offer potential for CVD prevention; yet, their effectiveness in covering the full range of prevention strategies is uncertain.
Objective: This study aimed to synthesize current literature on digital solutions for CVD prevention, identify the key components of effective digital interventions, and highlight critical research gaps to inform the development of sustainable strategies for CVD prevention.
Depress Anxiety
January 2025
Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Background: Individuals with mental health disorders face major barriers in accessing smoking cessation care, often due to the stigmas associated with mental disorders and addiction. Consequently, accessible population-based smoking cessation interventions are needed for this vulnerable group.
Objective: This secondary analysis utilized data from a 12-month randomized trial to examine whether an acceptance and commitment therapy-based app (iCanQuit) demonstrated greater efficacy, engagement, and satisfaction compared to a United States (US) Clinical Practice Guidelines-based app (QuitGuide) in helping adults with mental health disorders quit smoking.
Subst Abuse Treat Prev Policy
January 2025
Dep Prevention Research and Social Medicine, University Medicine Greifswald, Institute of Community Medicine, W.-Rathenau-Str. 48, 17475, Greifswald, Germany.
Background: Little is known about mortality from four disorder combinations: fully attributable to alcohol or tobacco, partly attributable to both alcohol and tobacco, to tobacco only, to alcohol only.
Aim: To analyze whether residents who had disclosed risky alcohol drinking or daily tobacco smoking had a shorter time to death than non-risky drinkers and never daily smokers twenty years later according to the disorder combinations.
Methods: A random adult general population sample (4,075 study participants) of a northern German area had been interviewed in the years 1996-1997.
BMJ Open
January 2025
Department of Economics, University of Indonesia Faculty of Economics and Business, Depok, Jawa Barat, Indonesia.
Objectives: To investigate the relationship between purchasing loose cigarettes and adolescent smoking habits in Indonesia.
Design And Setting: This study employed a mixed-methods sequential explanatory design. We analysed the secondary data from a national survey, the 2019 Global Youth Tobacco Survey, using multivariable logistic regression models to examine the association between loose cigarette purchase and smoking frequency and intensity and nicotine dependence.
J Affect Disord
January 2025
Department of Environmental Genomics, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China. Electronic address:
Background: The co-occurrence of smoking behaviors and major depressive disorder (MDD) has been widely documented in populations. However, the underlying mechanism of this association remains unclear.
Methods: Genome-wide association studies of smoking behaviors and MDD, combined with multi-omics datasets, were usedto characterise genetic correlations, identify shared loci and genes, and explore underlying biological mechanisms.
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