ArticleJournal of addiction medicine
Tobacco Use Disorder Among Patients With Smoking-related Chronic Medical Disease: Association With Comorbid Substance Use Disorders.
Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Facilitators and barriers for implementing screening brief intervention and referral for health promotion in a rural hospital in Alberta: using consolidated framework for implementation research.BMC health services research · 2024Article
- Prevalence of Some Genetic Risk Factors for Nicotine Dependence in Ukraine.Genetics research international · 2019Article
- Unhealthy alcohol use is associated with postoperative complications in veterans undergoing lung resection.Journal of thoracic disease · 2018Article
- Associations Between Comorbid Health Conditions and Quit Outcomes Among Smokers Enrolled in a State Quitline, Arizona, 2011-2016.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
introductionVery little is known of the behavioral vulnerabilities of patients diagnosed with smoking-related chronic medical illness who continue to smoke, potentially worsening morbidity and mortality risks. This study explores the association of tobacco use disorder (TUD) among those with smoking-related chronic medical illnesses with other substance use disorders (SUDs) and risk factors.
methodsAmong veterans with smoking-related chronic medical illnesses identified from the National Veterans Health Administration administrative records from fiscal year 2012, we compared the characteristics of those with a diagnosis of TUD (International Classification of Diseases, 9th edition code 305.xx; n = 519,918), and those without such a diagnosis (n = 2,691,840). Using multiple logistic regression, we further explored the independent association of factors associated with TUD.
resultsSUD prevalence was markedly higher among those with TUD (24.9% vs 5.44%), including alcohol use disorder (20.4% vs 4.3%) and drug use disorder (13.5% vs 2.6%), compared with nonsmokers. On multiple logistic regression analyses, alcohol use disorder (odds ratio [OR] 2.94, 95% confidence interval [CI] 2.90-2.97) and drug use disorder (OR 1.97, 95% CI 1.94-1.99) were independently associated with current TUD diagnosis. Having any single SUD was associated with considerably high odds of having TUD (OR 3.32, 95% CI 3.29-2.36), and having multiple SUDs with even further increased risk (OR 4.09, 95% CI 4.02-4.16).
conclusionsA substantial proportion of people with TUD diagnosis despite concurrent smoking-related medical illnesses are also likely to have other comorbid SUDs, complicating efforts at smoking cessation, and requiring a broader approach than standard nicotine-dependence interventions.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.