575 research outputs found

    Family History of Substance Use Disorders: Significance for Mental Health in Young Adults who Gamble?

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    Background: Although family history of psychiatric disorders has often been considered potentially useful in understanding clinical presentations in patients, it is less clear what a positive family history means for people who gamble in the general community. We sought to understand the clinical and cognitive impact of having a first-degree relative with a substance use disorder (SUD) in a sample of non-treatment seeking young adults. Methods: 576 participants (aged 18-29 years) who gambled at least 5 times in the preceding year undertook clinical and neurocognitive evaluations. Those with a first-degree relative with a SUD were compared to those without on a number of demographic, clinical and cognitive measures. We used Partial Least Squares regression (PLS) to identify which variables (if any) were significantly associated with family history of SUDs, controlling for the influence of other variables on each other. Results: 180 (31.3%) participants had a first-degree family member with a SUD. In terms of clinical variables, family history of SUD was significantly associated with higher rates of substance use (alcohol, nicotine), higher rates of problem gambling, and higher occurrence of mental health disorders. Family history of SUD was also associated with more set-shifting problems (plus higher rates of obsessive-compulsive tendencies), lower quality of decision-making, and more spatial working memory errors. Conclusions: These results indicate that gamblers with a first-degree family member with a SUD may have a unique clinical and cognition presentation. Understanding these differences may be relevant to developing more individualized treatment approaches for disordered gambling. Compulsivity may be important as a proxy of vulnerability towards addiction

    The effect of high carbohydrate meals with different glycemic indices on recovery of performance during prolonged intermittent high intensity shuttle running

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    This study examined the effect of high carbohydrate meals with different glycemic indices (GI) on recovery of performance during prolonged intermittent high-intensity shuttle running. Seven male semi-professional soccer players (age 23 Ā± 2 y, body mass [BM] 73.7 Ā± 9.0 kg and maximal oxygen uptake 58 Ā± 1.0 mL Ā· kg-1 Ā· min-1) participated in two trials in a randomized cross-over design. On day 1, the subjects performed 90 min of an intermittent high-intensity shuttle running protocol [Loughborough Intermittent Shuttle Test (LIST)]. They then consumed a mixed high carbohydrate recovery diet (8 g/kg BM) consisting of either high (HGI) (GI: 70) or low (LGI) (GI: 35) GI foods. Twenty-two hours later (day 2) the subjects completed 75 min of the LIST (part A) followed by alternate sprinting and jogging to fatigue (part B). No differences were found between trials in time to fatigue (HGI 25.3 Ā± 4.0 min vs. LGI 22.9 Ā± 5.6 min, P = 0.649). Similarly, no differences were found between trials for sprint performance and distance covered during part B of the LIST. In conclusion, the GI of the diet during the 22 h recovery did not affect sprint and endurance performance the following day

    Digital Hazards for Feeding and Eating: What We Know and What We Don't.

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    PURPOSE OF REVIEW: We aimed to accrue recent evidence exploring effects of modern online activities (e.g., Internet use) on feeding and eating disorder symptoms, and related traits. We examined available evidence to ascertain any direct influences from online activities on feeding and eating disorders, thereby shedding light on putative mechanisms by which those influences may occur. RECENT FINDINGS: Many facets of problematic usage of the Internet correlate cross sectionally with eating disorder and related psychopathology. There is evidence to suggest that significant effects do exist in the direction of specific Internet activities contributing to eating disorder symptoms, viewed dimensionally. Putative mechanisms are discussed. However, a significant number of eating disorder phenotypes and Internet-related activities remain under-researched. Specific facets of engagement with the online environment appear to confer risk for feeding and eating problems, evidence being strongest for non-clinical studies using dimensional measures. More research is required to rigorously confirm causal effects, including in patients meeting formal diagnostic criteria for eating disorders. We also highlight the need for high-quality evidence to explore how eating disorder phenotypes are commonly as well as uniquely affected by different online activities. Such research is needed in order that scientific understanding in this area can be translated to protect those most at risk of disordered eating, including through changes in public health approaches and clinical practice

    Fractionating impulsivity: commentary on "choice impulsivity" and "rapid-response impulsivity" articles by Hamilton and colleagues.

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    Comments on the original articles "Rapid-response impulsivity: Definitions, measurement issues, and clinical implications" (see record 2015-14753-004) and "Choice impulsivity: Definitions, measurement issues, and clinical implications" (see record 2015-14753-005) by Hamilton, Mitchell, et al. and Hamilton, Littlefield, et al., respectively. The present authors note that research has made important steps toward understanding impulsivity. Rapid-Response Impulsivity and Choice Impulsivity appear to be dissociable in terms of underlying neural circuitry and associated neurochemical modulation. Although various cognitive paradigms have been developed that tap these two functions, as Hamilton and colleagues correctly argue, there is a need for standardized measurements to be validated and agreed on, and for academics and clinicians to work together in order to tackle several pressing and related questions.This is the author accepted manuscript. The final version is available from the American Psychological Association via http://dx.doi.org/10.1037/per000012

    Expanding the definition of addiction: DSM-5 vs. ICD-11.

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    While considerable efforts have been made to understand the neurobiological basis of substance addiction, the potentially "addictive" qualities of repetitive behaviors, and whether such behaviors constitute "behavioral addictions," is relatively neglected. It has been suggested that some conditions, such as gambling disorder, compulsive stealing, compulsive buying, compulsive sexual behavior, and problem Internet use, have phenomenological and neurobiological parallels with substance use disorders. This review considers how the issue of "behavioral addictions" has been handled by latest revisions of the Diagnostic and Statistical Manual of Mental Disorders (DSM) and the International Classification of Diseases (ICD), leading to somewhat divergent approaches. We also consider key areas for future research in order to address optimal diagnostic classification and treatments for such repetitive, debilitating behaviors.Wellcome-trust and Academy of Medical Sciences

    Problematic smart phone use is associated with greater alcohol consumption, mental health issues, poorer academic performance, and impulsivity

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    Background: This study sought to examine the occurrence of the problematic use of smartphones in a university sample and associated physical and mental health correlates, including potential relationships with risky sexual practices. Methods: A 156-item anonymous online survey was distributed via email to a sample of 9,449 university students. In addition to problematic smartphone usage, current use of alcohol and drugs, psychological and physical status, and academic performance were assessed. Results: A total of 3,425 participants were included in the analysis, of whom 20.1% reported problematic smartphone use. Problematic use of smartphones was associated with lower grade point averages and with alcohol use disorder symptoms. Problematic use of smartphones was also significantly associated with impulsivity (Barratt scale, ADHD), and elevated occurrence of PTSD, anxiety and depression. Finally, those with current problems with smartphone use were significantly more sexually active. Conclusion: Problematic use of smartphones is common, and has public health importance due to these demonstrable associations with alcohol use, certain mental health diagnoses (especially ADHD, anxiety, depression, and PTSD), and worse scholastic performance. Clinicians should enquire about excessive smartphone use as it may be associated with a range of mental health issues. Research is needed to address longitudinal associations
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