Maria A Parker1,2, Andrea C Villanti1. 1. Vermont Center on Behavior & Health, University of Vermont, Burlington, Vermont, USA. 2. School of Public Health, Indiana University, Bloomington, Indiana, USA.
Abstract
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.
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.
Entities:
Keywords:
Latent class analysis; epidemiology; psychiatric; smoking; tobacco
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