Substance use disorder and posttraumatic stress disorder symptomology on behavioral outcomes among juvenile justice youth

BACKGROUND AND OBJECTIVES: Substance use behaviors have been identified as a risk factor that places juveniles at greater risk for engaging in delinquent behaviors and continual contact with the juvenile justice system. Currently, there is lack of research that explores comorbid factors associated with substance use, such as post-traumatic stress disorder (PTSD) symptoms, that could help identify youth who are at greatest risk. The aim of the present study was to examine if PTSD symptomology moderated the relationship between substance use disorder (SUD) symptoms and externalizing behaviors and commission of a violent crime; hypothesizing that risk would be heightened among youth with elevated SUD and PTSD symptomology compared to those with elevated SUD symptoms but lower PTSD symptoms. METHOD: The study included 194 predominantly male (78.4%), non-White (74.2%) juvenile justice youth between the ages of 9-18 (M = 15.36). Youth provided responses to assess PTSD symptoms, SUD symptoms, and externalizing behaviors. Commission of a violent crime was based on parole officer report. RESULTS: Findings indicated that SUD symptomology was associated with greater externalizing behaviors at high levels of PTSD symptomology. At low levels of PTSD symptomology, SUD symptoms were inversely associated with externalizing behaviors. An interactive relationship was not observed for commission of violent crimes. CONCLUSIONS: Findings suggest that the association between SUD symptoms and externalizing behaviors among juvenile offenders may be best explained by the presence of PTSD symptomology. SCIENTIFIC SIGNIFICANCE: Addressing PTSD rather than SUD symptoms may be a better target for reducing risk for externalizing behaviors among this population of youth (Am J Addict 2019;28:29-35)

Novel psychoactive substance consumption is more represented in bipolar disorder than in psychotic disorders : A multicenter-observational study

© 2017 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article: Acciavatti, T, Lupi, M, Santacroce, R, et al. Novel psychoactive substance consumption is more represented in bipolar disorder than in psychotic disorders: A multicenter‐observational study. Hum Psychopharmacol Clin Exp. 2017; 32:e2578. which has been published in final form at https://doi.org/10.1002/hup.2578. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.OBJECTIVE: Comorbidities between psychiatric diseases and use of traditional substances of abuse are common. Nevertheless, there are few data regarding the use of novel psychoactive substances (NPS) among psychiatric patients. Aim of this multicentre survey is to investigate the consumption of a number of psychoactive substances in a young psychiatric sample. METHODS: Between December 2013 and September 2015, a questionnaire was administered in 10 Italian psychiatric care facilities to a sample of 671 patients, aged 18-26 (mean age 22.24; SD 2.87). RESULTS: About 8.2% of the sample declared to have used NPS at least once, and 2.2% had consumed NPS in the previous 3 months. The three psychiatric diagnoses most frequently associated with NPS use were bipolar disorder (23.1%), personality disorders (11.8%), and schizophrenia and related disorders (11.6%). In univariate regression analysis, bipolar disorder was positively associated with NPS consumption, an association that did not reach statistical significance in the multivariate analysis. CONCLUSIONS: The use of NPS in a young psychiatric population appears to be frequent, and probably still underestimated. Bipolar disorder shows an association with NPS use. Careful and constant monitoring and an accurate evaluation of possible clinical effects related to NPS use are necessary.Peer reviewedFinal Accepted Versio

Examining the alcohol-related consequences of adult drinkers who self-report medicating low mood with alcohol: an analysis of the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions survey data.

The aim of this paper is to examine the alcohol-related consequences experienced by adults who experienced a two-week period of low mood and identify as a 'self-mediator' compared to those who do not. Our focus is on assessing whether the conceptualization of alcohol use disorder severity differs across adult drinkers who self-medicate with alcohol during a period of low mood, compared to those who do not. This study used secondary data from the NESARC survey. The analytic sample consisted of 5945 participants who answered questions from the alcohol abuse/dependence (alcohol experiences) section, in the last 12 months. The sample was split into four groups by whether they self-medicated with alcohol or not, and drank alcohol in the last year and their drinking class. The findings indicated that a one factor model was the best fit and all items were a strong indicator of alcohol use disorder. The two-parameter model had the best fit, indicating that the diagnostic criteria were placed as a good fit along a continuum of severity. It was revealed that the hazardous drinking group who self-medicated, experienced more consequences even at low levels of severity. As the self-medicating hazardous drinking group also showed the highest estimates for alcohol use disorder severity, this may indicate that this group are high functioning self-medicators who are trying to regulate their drinking, and may not be as clinically high risk as expected, due to their drinking patterns

Testing posttraumatic stress as a mediator of physical, sexual, and psychological intimate partner violence and substance problems among women

This study examined whether posttraumatic stress specifically resulting from intimate partner violence (IPV-related posttraumatic stress) mediated relationships between types of IPV and drug and alcohol problems among 212 women currently experiencing IPV. Six-month prevalence was high for drug use (48%) and alcohol use (59%). Structural equation modeling revealed that the frequency of physical, sexual, and psychological IPV were significantly and positively related to greater IPV-related posttraumatic stress, and IPV-related posttraumatic stress was significantly and positively related to drug problems. Further, IPV-related posttraumatic stress mediated the relationships between physical IPV and drug problems and psychological IPV and drug problems. Findings suggest that prevention and intervention efforts targeting posttraumatic stress among IPV-exposed women may reduce drug problems in this population

Five-factor model personality traits in opioid dependence

<p>Abstract</p> <p>Background</p> <p>Personality traits may form a part of the aetiology of opioid dependence. For instance, opioid dependence may result from self-medication in emotionally unstable individuals, or from experimenting with drugs in sensation seekers. The five factor model (FFM) has obtained a central position in contemporary personality trait theory. The five factors are: Neuroticism, Extraversion, Openness to Experience, Agreeableness and Conscientiousness. Few studies have examined whether there is a distinct personality pattern associated with opioid dependence.</p> <p>Methods</p> <p>We compared FFM personality traits in 65 opioid dependent persons (mean age 27 years, 34% females) in outpatient counselling after a minimum of 5 weeks in buprenorphine replacement therapy, with those in a non-clinical, age- and sex-matched sample selected from a national database. Personality traits were assessed by a Norwegian version of the Revised NEO Personality Inventory (NEO PI-R), a 240-item self-report questionnaire. Cohen's d effect sizes were calculated for the differences in personality trait scores.</p> <p>Results</p> <p>The opioid-dependent sample scored higher on Neuroticism, lower on Extraversion and lower on Conscientiousness (d = -1.7, 1.2 and 1.7, respectively) than the controls. Effects sizes were small for the difference between the groups in Openness to experience scores and Agreeableness scores.</p> <p>Conclusion</p> <p>We found differences of medium and large effect sizes between the opioid dependent group and the matched comparison group, suggesting that the personality traits of people with opioid dependence are in fact different from those of non-clinical peers.</p

Stuttering, alcohol consumption and smoking

Purpose: Limited research has been published regarding the association between stuttering and substance use. An earlier study provided no evidence for such an association, but the authors called for further research to be conducted using a community sample. The present study used data from a community sample to investigate whether an association between stuttering and alcohol consumption or regular smoking exists in late adolescence and adulthood. Methods: Regression analyses were carried out on data from a birth cohort study, the National Child Development Study (NCDS), whose initial cohort included 18,558 participants who have since been followed up until age 55. In the analyses, the main predictor variable was parent-reported stuttering at age 16. Parental socio-economic group, cohort member’s sex and childhood behavioural problems were also included. The outcome variables related to alcohol consumption and smoking habits at ages 16, 23, 33, 41, 46, 50 and 55. Results: No significant association was found between stuttering and alcohol consumption or stuttering and smoking at any of the ages. It was speculated that the absence of significant associations might be due to avoidance of social situations on the part of many of the participants who stutter, or adoption of alternative coping strategies. Conclusion: Because of the association between anxiety and substance use, individuals who stutter and are anxious might be found to drink or smoke excessively, but as a group, people who stutter are not more likely than those who do not to have high levels of consumption of alcohol or nicotine

Smoking Determinants in Turkish University Students

The aim was to explore the prevalence and the correlates of smoking in a group of Turkish university students. A sample of 1,870 students (21.2 ± 2.0 years old) completed the Beck Depression Inventory, Beck Hopelessness Scale, Anxiety Sensitivity Index, 20-item Toronto Alexithymia Scale. Smoking was highly prevalent (35.9%) in this sample. Male gender (OR = 2.72, CI 2.15–3.44), and parental smoking (OR = 1.41, CI 1.13–1.78) were factors associated with increased likelihood of smoking. Higher depressive symptoms and hopelessness levels were significantly related to smoking behavior. Smoking behavior might initiate as a mild and transient habit and unfortunately could become more serious and lead to an actual dependence. The results of this study show that it is necessary to pay attention to levels of depression and hopelessness, as well as parental influence

Rumination, substance use, and self-harm in a representative Australian adult sample

Background: There are few data on self-harm in the general population, especially examining the roles of rumination and substance use. Objectives: To evaluate the inter-relationships of rumination, self-harm, and potential mediating variables. Method: A cohort with follow-up every 4 years involving a random sample of adults aged 20–24 and 40–44 years (at baseline) living in Australia. The survey included items on three common forms of self-harm. Other measures included rumination, Goldberg Anxiety and Depression scales, substance use, coping style (Brief COPE), and demographic risk factors. Results: The sample comprised 2,184 women and 1,942 men with 287 self-harm cases (7.0%). Depression and coping style were significant mediators of rumination on self-harm for men, with depression being the only robust mediator for women. For males, age and education were also significantly associated, while for women, age, smoking, trauma, and sexual abuse were significant. Conclusions: Men and women differ on mediators of self-harm

Unobtrusive monitoring of behavior and movement patterns to detect clinical depression severity level via smartphone

The number of individuals with mental disorders is increasing and they are commonly found among individuals who avoid social interaction and like to live alone. Amongst such mental health disorders is depression which is both common and serious. The present paper introduces a method to assess the depression level of an individual using a smartphone by monitoring their daily activities. The time domain characteristics from a smartphone acceleration sensor were used alongside a vector machine algorithm to classify physical activities. Additionally, the geographical location information was clustered using a smartphone GPS sensor to simplify movement patterns. A total of 12 features were extracted from individuals’ physical activity and movement patterns and were analyzed alongside their weekly depression scores using the nine-item Patient Health Questionnaire. Using a wrapper feature selection method, a subset of features was selected and applied to a linear regression model to estimate the depression score. The support vector machine algorithm was then used to classify the depression severity level among individuals (absence, moderate, severe) and had an accuracy of 87.2% in severe depression cases which outperformed other classification models including the k-nearest neighbor and artificial neural network. This method of identifying depression is a cost-effective solution for long-term use and can monitor individuals for depression without invading their personal space or creating other day-to-day disturbances