Relationship between Comorbid Drug Use Disorders, Affective Disorders, and Current Smoking
Bibliographic Data
| ID | 21645425 |
|---|---|
| Authors | Maria A Parker (0000-0002-9763-1129, Vermont Center on Behavior & Health, University of Vermont, Burlington, Vermont, USA, corresponding author), Andrea C Villanti (0000-0003-3104-966X, Vermont Center on Behavior & Health, University of Vermont, Burlington, Vermont, USA) |
| Year | 2021 |
| Volume | 56 |
| Issue | 1 |
| Pages | 93-100 |
| Publication date | 2021-01-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Substance Use & Misuse (JOURNAL) |
| Journal identifiers | ISSN: 1082-6084 • E-ISSN: 1532-2491 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10826084.2020.1840591 |
| PMID | 33143491 |
| OpenAlex | W3095706435 |
| Language | EN |
| Citations received | 1 |
| References cited | 47 |
Objective: This study aimed to identify subgroups of adults based on comorbid psychiatric disorders and to examine the relationship with current smoking. Method: The National Epidemiologic Survey on Alcohol and Related Conditions-III, 2012–2013, sampled, recruited, and assessed 36,309 adults, with interviews on drug use and other characteristics. The Alcohol Use Disorder and Associated Disabilities Interview Schedule DSM-5 Version (AUDADIS-5) was used to identify psychiatric conditions. Latent class models were developed based on various psychiatric diagnoses. Multinomial logistic regression estimated the significance of covariates in predicting class membership. Results: Four latent classes optimally distinguished the population: no comorbid conditions (63%), comorbid affective disorders (16%), those with alcohol use disorder (AUD; 17%), and a highly comorbid subgroup (i.e., co-occurring affective and drug use disorders; 4%). Current smoking was about twice as prevalent in the classes defined by psychiatric conditions compared to the group with no comorbid conditions. The highly comorbid class was more likely to be current smokers than the comorbid affective disorders class and the AUD class. Furthermore, the highly comorbid class was younger and had lower income, and the AUD class had a higher proportion of males than the other classes. Conclusions: Cigarette smoking was higher in the nearly 40% of respondents characterized by psychiatric disorders, particularly those with drug use disorders. Correlates of membership in these classes were consistent with known vulnerabilities for smoking, highlighting the need for mental health interventions and future research to explicitly address tobacco cessation in clinical settings based on psychiatric diagnoses
Alcohol · Alcohol use disorder · Comorbidity · Environmental health · Latent class model · Logistic regression · Mental health · Population · Psychiatry · Psychological intervention · Clinical Psychology · Medicine · Obesity, Physical Activity, Diet · Psychology · Smoking Behavior and Cessation · Substance Abuse Treatment and Outcomes
Diagnostic and Statistical Manual of Mental Disorders
Prevalence, Correlates, Disability, and Comorbidity of DSM-IV Drug Abuse and Dependence in the United States
Smoking, Mental Illness, and Public Health
Epidemiology of DSM-5 Drug Use Disorder
Prevalence, Correlates, Disability, and Comorbidity of DSM-IV Alcohol Abuse and Dependence in the United States
St-Century Hazards of Smoking and Benefits of Cessation in the United States
Emerging Adulthood
Smoking and Mental Illness
Polysubstance use
An Introduction to Latent Class Growth Analysis and Growth Mixture Modeling
Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling
Smoking and mental illness
Medical Marijuana Legalization and Co-use in Adult Cigarette Smokers
Cigarette smoking quit ratios among adults in the USA with cannabis use and cannabis use disorders, 2002–2016
Smoking and mental illness in the US population
Cigarette smoking among those with mental disorders in the US population
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |