Authors:Punita Sharma, Tim M. Gale, and Naomi A. Fineberg
Obsessive-compulsive disorder (OCD) is a biologically heterogeneous neuropsychiatric disorder. It is associated with impulsive as well as compulsive neurocognitive mechanisms. Cigarette smoking is common among most psychiatric patients; however, OCD patients are thought to show reduced rates. OCD smokers may thus represent a relatively uncommon OCD subtype, characterised by increased impulsivity. In this study, we aim to establish the prevalence of smoking in a large, well-defined OCD cohort. We investigate whether smokers with OCD differ from non-smokers with OCD on clinical measures of behavioural impulsivity and domains of personality and temperament, including reward-dependence and novelty-seeking.
183 of 200 outpatients with DSM-IV OCD were interviewed to determine smoking status. A sub-sample of 10 smokers was compared with 10 non-smokers, pair wise matched for age and gender. Patients were assessed for DSM co-morbidity, symptom profile, OCD severity, behavioural impulsivity and personality dimensions.
Only 10 individuals (5.46%; five males) were smokers. Compared to OCD non-smokers, OCD smokers scored significantly higher on the Barratt Impulsiveness Scale (p < 0.001). They also scored significantly higher on TCI measures of novelty seeking (p < 0.001) and reward dependence (p < 0.001) and significantly lower on measures of harm avoidance (p < 0.001).
Tobacco smoking is rare in OCD. Significantly higher levels of behavioural impulsivity and temperamental factors associated with reward driven impulsivity are seen in OCD smokers compared to non-smokers. Tobacco smoking may indicate a possible source of neurocognitive heterogeneity in OCD.
Authors:Matthias Brand, Hans-JÜrgen Rumpf, Zsolt Demetrovics, Astrid MÜller, Rudolf Stark, Daniel L. King, Anna E. Goudriaan, Karl Mann, Patrick Trotzke, Naomi A. Fineberg, Samuel R. Chamberlain, Shane W. Kraus, Elisa Wegmann, JoËl Billieux, and Marc N. Potenza
Gambling and gaming disorders have been included as “disorders due to addictive behaviors” in the International Classification of Diseases (ICD-11). Other problematic behaviors may be considered as “other specified disorders due to addictive behaviors (6C5Y).”
Narrative review, experts' opinions.
We suggest the following meta-level criteria for considering potential addictive behaviors as fulfilling the category of “other specified disorders due to addictive behaviors”:
1. Clinical relevance: Empirical evidence from multiple scientific studies demonstrates that the specific potential addictive behavior is clinically relevant and individuals experience negative consequences and functional impairments in daily life due to the problematic and potentially addictive behavior.
2. Theoretical embedding: Current theories and theoretical models belonging to the field of research on addictive behaviors describe and explain most appropriately the candidate phenomenon of a potential addictive behavior.
3. Empirical evidence: Data based on self-reports, clinical interviews, surveys, behavioral experiments, and, if available, biological investigations (neural, physiological, genetic) suggest that psychological (and neurobiological) mechanisms involved in other addictive behaviors are also valid for the candidate phenomenon. Varying degrees of support for problematic forms of pornography use, buying and shopping, and use of social networks are available. These conditions may fit the category of “other specified disorders due to addictive behaviors”.
It is important not to over-pathologize everyday-life behavior while concurrently not trivializing conditions that are of clinical importance and that deserve public health considerations. The proposed meta-level-criteria may help guide both research efforts and clinical practice.
Authors:Hans-Jürgen Rumpf, Sophia Achab, Joël Billieux, Henrietta Bowden-Jones, Natacha Carragher, Zsolt Demetrovics, Susumu Higuchi, Daniel L. King, Karl Mann, Marc Potenza, John B. Saunders, Max Abbott, Atul Ambekar, Osman Tolga Aricak, Sawitri Assanangkornchai, Norharlina Bahar, Guilherme Borges, Matthias Brand, Elda Mei-Lo Chan, Thomas Chung, Jeff Derevensky, Ahmad El Kashef, Michael Farrell, Naomi A. Fineberg, Claudia Gandin, Douglas A. Gentile, Mark D. Griffiths, Anna E. Goudriaan, Marie Grall-Bronnec, Wei Hao, David C. Hodgins, Patrick Ip, Orsolya Király, Hae Kook Lee, Daria Kuss, Jeroen S. Lemmens, Jiang Long, Olatz Lopez-Fernandez, Satoko Mihara, Nancy M. Petry, Halley M. Pontes, Afarin Rahimi-Movaghar, Florian Rehbein, Jürgen Rehm, Emanuele Scafato, Manoi Sharma, Daniel Spritzer, Dan J. Stein, Philip Tam, Aviv Weinstein, Hans-Ulrich Wittchen, Klaus Wölfling, Daniele Zullino, and Vladimir Poznyak
The proposed introduction of gaming disorder (GD) in the 11th revision of the International Classification of Diseases (ICD-11) developed by the World Health Organization (WHO) has led to a lively debate over the past year. Besides the broad support for the decision in the academic press, a recent publication by van Rooij et al. (2018) repeated the criticism raised against the inclusion of GD in ICD-11 by Aarseth et al. (2017). We argue that this group of researchers fails to recognize the clinical and public health considerations, which support the WHO perspective. It is important to recognize a range of biases that may influence this debate; in particular, the gaming industry may wish to diminish its responsibility by claiming that GD is not a public health problem, a position which maybe supported by arguments from scholars based in media psychology, computer games research, communication science, and related disciplines. However, just as with any other disease or disorder in the ICD-11, the decision whether or not to include GD is based on clinical evidence and public health needs. Therefore, we reiterate our conclusion that including GD reflects the essence of the ICD and will facilitate treatment and prevention for those who need it.