COPD Positive Screening with Spirometry Increases Motivation to Quit Tobacco Smoking in an Addiction Treatment Center.

Providing an on-site immediate diagnosis of Chronic Obstructive Pulmonary Disease (COPD) and lung age in tobacco smokers could be a motivational tool for smoking cessation. Our aim was to investigate the effects of an abnormal spirometry results on motivational change and subsequent smoking cessation. We conducted a retrospective analysis of smoking status after 3 months of tobacco counseling. Patients were recruited in an addiction outpatient center. Spirometry results were obtained with a portable device during the first visit. The sample was thus divided in 3 groups: COPD, subthreshold-group (no COPD but abnormal lung age) and normal spirometry. Among the three groups, we compared the immediate motivation change, difference in Q-MAT motivation scale score after minus before spirometry (Kruskal-Wallis test) and the smoking status after 3 months (Fisher test). We included 48 patients (37 males, median age 44 years, median cigarette-per-day 20). Spirometry results divided the sample in COPD (N = 13), subthreshold (N = 11) and normal group (N = 24). Mean Q-MAT score change after spirometry was different between groups (p = 0.019), greater in COPD (4.62 ± 3.38) than normal group (1.46 ± 3.11), and lower in patient with a co-occuring hazardous alcohol use (p = 7.6 × 10-3). Three-months smoking status was different between spirometry results groups (p = 0.0021). COPD (5/13, 38.5%) and subthreshold patients (6/10, 60.0%) had stopped more frequently than patients from the normal-group (2/22, 9.1%). The effect of immediate spirometry results on motivation to quit varies according to the screened pulmonary damages and hazardous alcohol use. It could be a useful tool in addiction treatment centers.

Anxiety and substance use disorders: co-occurrence and clinical issues.

The co-occurrence of substance use disorders (SUDs) and anxiety disorders has been now well established. This association is frequent and can be explained by three models: the shared vulnerability factors model, the self-medication model, and the substance-induced model. General population epidemiological studies provide strong evidence of the frequency of the association for the most used substances: tobacco, alcohol, cannabis, and to a lesser extent sedatives, opiates, and cocaine. For substances that are less commonly used in the general population, the frequency of the co-occurrence can more precisely be studied in clinical samples. We provide the most recent literature results on the association of SUDs and anxiety, and evidence for one explicative model or the other when available. For substances with sedative properties (alcohol, benzodiazepines, cannabis, opioids), both evidence for a self-medication and for a toxic effect exist. For substances with psychostimulant properties (tobacco, cocaine, and amphetamines), the literature favors the toxic hypothesis to explain the association with anxiety disorders. We give practical steps for the recognition of these dual diagnoses and present therapeutic issues, although the strategies are rarely evidence based.