Treatment outcomes and predictors of drop out for problem gamblers in South Australia : a cohort study

OBJECTIVES: Recent prevalence studies in Australia, the USA and Canada have estimated 1-2% of the adult population meet the diagnostic criteria for problem or pathological gambling. The Statewide Gambling Therapy Service (SGTS) provides treatment for problem gamblers in key metropolitan and rural regions in South Australia. The aims of this study were two-fold: to analyse the short and mid-term outcomes following treatment provided by SGTS and to identify factors associated with treatment drop-out. METHOD: A cohort of treatment seeking problem gamblers was recruited through SGTS in 2008. Repeated outcome measures included problem gambling screening, gambling related cognitions and urge. Treatment drop-out was defined as participants attending three or less treatment sessions, whilst potential predictors of drop-out included perceived social support , anxiety and sensation-seeking traits. RESULTS: Of 127 problem gamblers who participated in the study, 69 (54%) were males with a mean age of 43.09 years (SD = 12.65 years) and with 65 (52%) reporting a duration of problem gambling greater than 5 years. Follow up time for 50% of participants was greater than 8.9 months and, overall, 41 (32%) participants were classified as treatment drop-outs. Results indicated significant improvement over time on all outcome measures except alcohol use for both treatment completers and drop-outs, although to a lesser extent for the treatment drop-out group. A significant predictor of treatment drop-out was sensation-seeking traits. CONCLUSION: These results will inform future treatment planning and service delivery, and guide research into problem gambling including aspects of treatment drop-out.

Self-perceived distress and impairment in problem gamblers: a study of pre- to post-treatment measurement invariance

Gambling help services typically evaluate treatment outcomes using self-reported responses and measurements. However, gamblers’ conceptualisations and prioritisations with respect to these measurements may shift over time. Thus, changes in the self-reported responses may not always reflect true change in the individuals. This study investigated for response shift in self-report measures of psychological distress and impairment in 293 help-seeking problem gamblers. We used confirmatory factor analysis to model data structures from pre-treatment to post-treatment. The findings indicated that a response shift had occurred. Two items became less important and one item became more important in measuring psychological distress. Measurement invariance was achieved for the complete set of items for impairment. These findings provide a more in-depth understanding of the nature of self-report outcomes in otherwise routinely collected data.

Assessing sexual orientation-related obsessions and compulsions in Italian heterosexual individuals: Development and validation of the Sexual Orientation Obsessive-Compulsive Scale (SO-OCS).

Sexual Orientation-Obsessive-Compulsive Disorder (SO-OCD) is characterized by intrusive thoughts, images, and urges related to one's sexual orientation, and by consequent avoidance, reassurance seeking, and overt and covert compulsions. Currently there is no short self-report measure that assesses SO-OCD symptoms. The current article describes two studies that develop and evaluate the first version of the Sexual Orientation Obsessive-Compulsive Scale (SO-OCS), a 14-item Italian self-report measure targeted towards heterosexual individuals. In Study 1, the SO-OCS was developed and refined through item analysis and exploratory factor analysis from an initial pool of 33 items administered to 732 Italian nonclinical participants. The SO-OCS showed a unidimensional structure and an acceptable internal consistency. In Study 2, the factor structure, internal consistency, temporal stability, construct and criterion validity, and diagnostic sensitivity of the SO-OCS were investigated in three samples of Italian participants (294 from the general population, 52 OCD patients who reported sexual orientation-related symptoms or concerns as a primary complaint, and 51 OCD patients who did not report these symptoms as primary complaint). The SO-OCS was again found to have a unidimensional structure and good internal consistency, as well as to exhibit strong construct validity. Specifically, the SO-OCS showed an excellent criterion validity and diagnostic sensitivity, as it successfully discriminated between those with SO-OCD and all other groups of participants. Finally, evidence of temporal stability of the SO-OCS in a nonclinical subsample was found. The SO-OCS holds promise as a measure of SO-OCD symptoms in heterosexual individuals.

Relationship obsessive-compulsive disorder: interference, symptoms, and maladaptive beliefs

BACKGROUND: Obsessive preoccupation, doubts, and compulsive behaviors focusing on one's romantic relationship and partner are receiving increasing clinical, theoretical, and empirical attention. Commonly referred to as relationship obsessive-compulsive disorder (ROCD), such symptoms have been linked with decreased relational and sexual functioning and lower mood, even after controlling for other obsessive-compulsive disorder (OCD) symptoms. To date, however, these symptoms have been studied in community samples alone. In the present study, we compared levels of interference, OCD, and mood symptoms between clinical participants with ROCD, OCD, and community controls. We also examined group differences in maladaptive beliefs previously linked with OCD and ROCD.

METHOD: Participants included 22 ROCD clients, 22 OCD clients, and 28 community controls. The Mini International Neuropsychiatric Interview was used to attain clinical diagnoses of OCD and ROCD. The Yale-Brown Obsessive-Compulsive Scale was used to evaluate primary-symptoms severity. All participants completed measures of symptoms and dysfunctional beliefs.

RESULTS: ROCD clients reported more severe ROCD symptoms than the OCD and control groups. ROCD and OCD clients did not differ in severity of their -primary-symptoms. ROCD clients scored higher than the other groups on maladaptive OCD-related and relationship-related beliefs. Finally, ROCD clients showed more severe depression symptoms than community controls.

CONCLUSION: ROCD is a disabling presentation of OCD that warrants research attention. Maladaptive OCD-related and relationship-related beliefs may be implicated in the development and maintenance of ROCD.

Self-perceived distress and impairment in problem gamblers : a study of pre- to post-treatment measurement invariance

Gambling help services typically evaluate treatment outcomes using self-reported responses and measurements. However, gamblers’ conceptualisations and prioritisations with respect to these measurements may shift over time. Thus, changes in the self-reported responses may not always reflect true change in the individuals. This study investigated for response shift in self-report measures of psychological distress and impairment in 293 help-seeking problem gamblers. We used confirmatory factor analysis to model data structures from pre-treatment to post-treatment. The findings indicated that a response shift had occurred. Two items became less important and one item became more important in measuring psychological distress. Measurement invariance was achieved for the complete set of items for impairment. These findings provide a more in-depth understanding of the nature of self-report outcomes in otherwise routinely collected data.

Kava and St. John's wort : current evidence for use in mood and anxiety disorders

Background: Mood and anxiety disorders pose significant health burdens on the community. Kava and St John’s wort (SJW) are the most commonly used herbal medicines in the treatment of anxiety and depressive disorders, respectively. Objectives: To conduct a comprehensive review of kava and SJW, to review any evidence of efficacy, mode of action, pharmacokinetics, safety and use in Major Depressive Disorder (MDD), Bipolar Disorder (BP), Seasonal Affective Disorder (SAD), Generalized Anxiety Disorder (GAD), Social Phobia (SP), Panic Disorder (PD), Obsessive-Compulsive Disorder (OCD), and Post Traumatic Stress Disorder (PTSD). Methods: A systematic review was conducted using the electronic databases MEDLINE, CINAHL, and The Cochrane Library during late 2008. The search criteria involved mood and anxiety disorder search terms in combination with kava, Piper methysticum, kavalactones, St John’s wort, Hypericum perforatum, hypericin and hyperforin. Additional search criteria for safety, pharmacodynamics , and pharmacokinetics was employed. A subsequent forward search was conducted of the papers using Web of Science cited reference search. Results: Current evidence supports the use of SJW in treating mild-moderate depression, and for kava in treatment of generalized anxiety. In respect to the other disorders, only weak preliminary evidence exists for use of SJW in SAD. Currently there is no published human trial on use of kava in affective disorders, or in OCD, PTSD, PD or SP. These disorders constitute potential applications that warrant exploration. Conclusions: Current evidence for herbal medicines in the treatment of depression and anxiety only supports the use of Hypericum perforatum for depression, and Piper methysticum for generalized anxiety.

Alexithymia, craving and attachment in a heavy drinking population

Up to fifty per cent of individuals with Alcohol use disorders (AUD) also have alexithymia a personality construct hypothesized to be related to attachment difficulties. The relationship between alexithymia, craving, anxious attachment and alcohol-dependence severity was examined in 254 patients participating in a Cognitive-Behavioral Therapy (CBT) program for alcohol-dependence. Participants completed the Toronto Alexithymia Scale (TAS-20), the Obsessive Compulsive Drinking Scale (OCDS), the Revised Adult Attachment Anxiety Subscale (RAAS-Anxiety) and the Alcohol Use Disorder Identification Test (AUDIT). MANOVA indicated that individuals with alexithymia reported significantly higher levels of total OCDS, obsessive thoughts about alcohol, and compulsive drinking urges and behavior, compared to the non-alexithymic group. Regression analyses found that anxious attachment partially mediated the relationship between alexithymia and craving. Anxious attachment may be a potential treatment target to reduce alcohol consumption in those with alcohol-dependence and alexithymia. Research Highlights ► There were significant relationships of alexithymia, craving and anxious attachment. ► Alexithymic alcoholics reported higher levels of craving and alcoholism severity. ► Anxious attachment partially mediated the relationship of alexithymia and craving.

The relationship of meta-worry and intolerance of uncertainty with pathological worry, anxiety, and depression

This study explored how meta-worry and intolerance of uncertainty relate to pathological worry, generalised anxiety, obsessive compulsive disorder, social phobia, and depression. University students (n = 253) completed a questionnaire battery. A series of regression analyses were conducted. The results indicated that meta-worry was associated with GAD, social phobia, obsessive compulsive, and depressive symptoms. Intolerance of uncertainty was related to GAD, social phobia, and obsessive compulsive symptoms, but not depressive symptoms. The importance of meta-worry and intolerance of uncertainty as predictors of pathological worry, GAD, social phobia, obsessive compulsive and depressive symptoms was also examined. Even though both factors significantly predicted the aforementioned symptoms, meta-worry emerged as a stronger predictor of GAD and obsessive compulsive symptoms than did intolerance of uncertainty. Intolerance of uncertainty, compared with meta-worry, appeared as a stronger predictor of social phobia symptoms. Findings emphasise the importance of addressing meta-worry and/or intolerance of uncertainty not only for the assessment and treatment of generalised anxiety disorder (GAD), but also obsessive compulsive disorder, social phobia, and depression.

Charitable grants and donations from maching gaming sources : Does it all work out in the wash up?

Material for this paper comes partly from a report commissioned by the Department of Family Services, Aboriginal and Islander Affairs. The report is the result of a multi-strategy research project designed to assess the impact of gaming machines on the fundraising capacity of charitable and community organisations in Queensland. The first Queensland gaming machine was commissioned on 11 February 1992. By 30 November 1994 there were: · 636 clubs operating 13,162 gaming machines · 436 hotels/taverns operating 3,468 gaming machines.1 It was anticipated that the introduction of gaming machines would impact on charities and community organisations. The adverse impacts would be through competition with charity gaming and disposable income that might otherwise be directed towards donations. Some also expressed concern that charities would be relied on to finance social services for problem gamblers. This paper seeks to describe the donations and grants derived by charities from Gaming Machine revenues. Such revenues primarily come from either government distributions from its gaming machine taxes and levies or gaming machine club donations. A final comment is made on the opinions of charitable fundraising professionals about the impact of gaming machine levies on club donations.

Neuronal nicotinic acetylcholine receptors : neuroplastic changes underlying alcohol and nicotine addictions

Addictive drugs can activate systems involved in normal reward-related learning, creating long-lasting memories of the drug's reinforcing effects and the environmental cues surrounding the experience. These memories significantly contribute to the maintenance of compulsive drug use as well as cue-induced relapse which can occur even after long periods of abstinence. Synaptic plasticity is thought to be a prominent molecular mechanism underlying drug-induced learning and memories. Ethanol and nicotine are both widely abused drugs that share a common molecular target in the brain, the neuronal nicotinic acetylcholine receptors (nAChRs). The nAChRs are ligand-gated ion channels that are vastly distributed throughout the brain and play a key role in synaptic neurotransmission. In this review, we will delineate the role of nAChRs in the development of ethanol and nicotine addiction. We will characterize both ethanol and nicotine's effects on nAChR-mediated synaptic transmission and plasticity in several key brain areas that are important for addiction. Finally, we will discuss some of the behavioral outcomes of drug-induced synaptic plasticity in animal models. An understanding of the molecular and cellular changes that occur following administration of ethanol and nicotine will lead to better therapeutic strategies.

Promoting student well-being and resilience at law school

University can be a psychologically distressing place for students, particularly those studying law. Legal academics have been concerned about this for some time. In the United States, in particular, it has been found that symptoms of psychological distress rise signifi cantly for students in their fi rst year of law (compared to levels in the general population at that time), and persist throughout the degree to post-graduation. Recognised symptoms include depression, obsessive compulsive behaviour, feelings of inadequacy and inferiority, anxiety, hostility, paranoia, and social alienation. Many students experience law school as an isolating, adversarial and competitive environment, which impacts negatively on their values and motivation...

Craving as a predictor of treatment outcomes in heavy drinkers with comorbid depressed mood

Alcohol and depression comorbidity is high and is associated with poorer outcomes following treatment. The ability to predict likely treatment response would be advantageous for treatment planning. Craving has been widely studied as a potential predictor, but has performed inconsistently. The effect of comorbid depression on craving's predictive performance however, has been largely neglected, despite demonstrated associations between negative affect and craving. The current study examined the performance of craving, measured pretreatment using the Obsessive subscale of the Obsessive Compulsive Drinking Scale, in predicting 18-week and 12-month post-treatment alcohol use outcomes in a sample of depressed drinkers. Data for the current study were collected during a randomized controlled trial (Baker, Kavanagh, Kay-Lambkin, Hunt, Lewin, Carr, & Connolly, 2010) comparing treatments for comorbid alcohol and depression. A subset of 260 participants from that trial with a Timeline Followback measure of alcohol consumption was analyzed. Pre-treatment craving was a significant predictor of average weekly alcohol consumption at 18 weeks and of frequency of alcohol binges at 18 weeks and 12months, but pre-treatment depressive mood was not predictive, and effects of Baseline craving were independent of depressive mood. Results suggest a greater ongoing risk from craving than from depressive mood at Baseline.

Slicing big data - Twitter, gambling and time sensitive information

Big Data presents many challenges related to volume, whether one is interested in studying past datasets or, even more problematically, attempting to work with live streams of data. The most obvious challenge, in a ‘noisy’ environment such as contemporary social media, is to collect the pertinent information; be that information for a specific study, tweets which can inform emergency services or other responders to an ongoing crisis, or give an advantage to those involved in prediction markets. Often, such a process is iterative, with keywords and hashtags changing with the passage of time, and both collection and analytic methodologies need to be continually adapted to respond to this changing information. While many of the data sets collected and analyzed are preformed, that is they are built around a particular keyword, hashtag, or set of authors, they still contain a large volume of information, much of which is unnecessary for the current purpose and/or potentially useful for future projects. Accordingly, this panel considers methods for separating and combining data to optimize big data research and report findings to stakeholders. The first paper considers possible coding mechanisms for incoming tweets during a crisis, taking a large stream of incoming tweets and selecting which of those need to be immediately placed in front of responders, for manual filtering and possible action. The paper suggests two solutions for this, content analysis and user profiling. In the former case, aspects of the tweet are assigned a score to assess its likely relationship to the topic at hand, and the urgency of the information, whilst the latter attempts to identify those users who are either serving as amplifiers of information or are known as an authoritative source. Through these techniques, the information contained in a large dataset could be filtered down to match the expected capacity of emergency responders, and knowledge as to the core keywords or hashtags relating to the current event is constantly refined for future data collection. The second paper is also concerned with identifying significant tweets, but in this case tweets relevant to particular prediction market; tennis betting. As increasing numbers of professional sports men and women create Twitter accounts to communicate with their fans, information is being shared regarding injuries, form and emotions which have the potential to impact on future results. As has already been demonstrated with leading US sports, such information is extremely valuable. Tennis, as with American Football (NFL) and Baseball (MLB) has paid subscription services which manually filter incoming news sources, including tweets, for information valuable to gamblers, gambling operators, and fantasy sports players. However, whilst such services are still niche operations, much of the value of information is lost by the time it reaches one of these services. The paper thus considers how information could be filtered from twitter user lists and hash tag or keyword monitoring, assessing the value of the source, information, and the prediction markets to which it may relate. The third paper examines methods for collecting Twitter data and following changes in an ongoing, dynamic social movement, such as the Occupy Wall Street movement. It involves the development of technical infrastructure to collect and make the tweets available for exploration and analysis. A strategy to respond to changes in the social movement is also required or the resulting tweets will only reflect the discussions and strategies the movement used at the time the keyword list is created — in a way, keyword creation is part strategy and part art. In this paper we describe strategies for the creation of a social media archive, specifically tweets related to the Occupy Wall Street movement, and methods for continuing to adapt data collection strategies as the movement’s presence in Twitter changes over time. We also discuss the opportunities and methods to extract data smaller slices of data from an archive of social media data to support a multitude of research projects in multiple fields of study. The common theme amongst these papers is that of constructing a data set, filtering it for a specific purpose, and then using the resulting information to aid in future data collection. The intention is that through the papers presented, and subsequent discussion, the panel will inform the wider research community not only on the objectives and limitations of data collection, live analytics, and filtering, but also on current and in-development methodologies that could be adopted by those working with such datasets, and how such approaches could be customized depending on the project stakeholders.