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Background: Emotional dysregulation, poor emotion recognition and impaired response inhibition have been highlighted as potential contributors to social difficulties in adolescents with attention-deficit/hyperactivity disorder (ADHD). It is currently unknown how these areas of impairment relate to one another; therefore, this study aims to identify the areas of emotion regulation which are associated with social difficulties in adolescents with ADHD, and determine whether emotion regulation mediates the relationship between deficits in response inhibition and emotion recognition, and social functioning, in this cohort. Methods: Thirty Australian adolescents (Male = 21) with ADHD completed measures of response inhibition, emotion recognition, and emotion regulation. Results: Positive emotion regulation was significantly associated with social difficulties. Although emotion recognition significantly predicted social difficulties, there was no relationship between emotion recognition and emotion regulation in this sample, ruling out emotion regulation as a mediator of emotion recognition and social difficulties. Whilst response inhibition was significantly correlated with positive emotion regulation, positive emotion regulation did not mediate the relationship between response inhibition and social difficulties. Conclusions: Difficulties recognising and regulating emotions appear to independently contribute to social difficulties in adolescents with ADHD. Interventions to increase emotional understanding and developing strategies to down-regulate positive emotions may be beneficial. [ABSTRACT FROM AUTHOR]

Background: The first wave of pandemic influenza A(H1N1)2009 (pH1N1) reached New South Wales (NSW), Australia in May 2009, and led to high rates of influenza-related hospital admission of infants and young to middle-aged adults, but no increase in influenza-related or all-cause mortality. Methodology/Principal Findings: To assess the population rate of pH1N1 infection in NSW residents, pH1N1-specific haemagglutination inhibition (HI) antibody prevalence was measured in specimens collected opportunistically before (2007-2008; 474 specimens) and after (August-September 2009; 1247 specimens) the 2009 winter, and before the introduction of the pH1N1 monovalent vaccine. Age- and geographically-weighted population changes in seroprevalence were calculated. HI antibodies against four recent seasonal influenza A viruses were measured to assess cross-reactions. Pre- and post-pandemic pH1N1 seroprevalences were 12.8%, and 28.4%, respectively, with an estimated overall infection rate of 15.6%. pH1N1 antibody prevalence increased significantly - 20.6% overall - in people born since 1944 (26.9% in those born between 1975 and 1997) but not in those born in or before 1944. People born before 1925 had a significantly higher pH1N1 seroprevalence than any other age-group, and against any seasonal influenza A virus. Sydney residents had a significantly greater change in prevalence of antibodies against pH1N1 than other NSW residents (19.3% vs 9.6%). Conclusions/Significance: Based on increases in the pH1N1 antibody prevalence before and after the first pandemic wave, 16% of NSW residents were infected by pH1N1 in 2009; the highest infection rates (27%) were among adolescents and young adults. Past exposure to the antigenically similar influenza A/H1N1(1918) is the likely basis for a very high prevalence (49%) of prepandemic cross-reacting pH1N1 antibody and sparing from pH1N1 infection among people over 85 years. Unless pre-season vaccine uptake is high, there are likely to be at least moderate rates including some life-threatening cases of pH1N1 infection among young people during subsequent winters. [ABSTRACT FROM AUTHOR]

Background: Heightened behavioral impulsivity has been advocated as a preexisting risk factor for the development of alcohol use disorder (AUD). Nonetheless, studies investigating impulsivity in adolescent/young adult at-risk drinkers-who are at increased risk of developing AUD-report mixed findings. This may be due to methodological limitations related to definitions of at-risk drinking, the retrospective assessment of alcohol intake, and/or the relatively modest sample size of some studies., Methods: Healthy individuals (N = 814, M age  = 22.50) completed online surveys and a measure of choice impulsivity. Of these, a number of participants also undertook an online measure of response inhibition (n = 627, M age  = 22.66), and a further subgroup submitted real-time alcohol consumption information for a period of 21 days using an app (n = 543, M age  = 22.96). Differences in behavioral impulsivity were assessed as a function of various at-risk alcohol intake categories. Hierarchical multiple regression was employed to determine whether impulsivity predicted alcohol use in the form of a continuous index comprising variables related to intake and consequences of use., Results: Significantly greater impulsivity was not evident in heavy, standard binge, high binge, harmful, or hazardous alcohol drinkers as compared to controls, regardless of the criteria employed to categorize these at-risk drinkers. Neither choice impulsivity nor reduced response inhibition significantly predicted the alcohol use index., Conclusions: While results could be attributed to the online nature of this research, it is possible that more sensitive measures of behavioral impulsivity are required when assessing nondependent drinkers., (© 2021 by the Research Society on Alcoholism.)

Objectives: We tested unique contribution of trait self-control, implicit self-control, and lay beliefs in self-control beliefs to the prediction of health-related behaviours. We also tested whether relations between trait self-control and health-related behaviour, and between implicit self-control and health-related behaviours, were moderated by self-control beliefs., Design: Cross-sectional, correlational., Methods: Students (N = 176) completed self-report measures of trait self-control, lay beliefs that self-control is limited or non-limited, non-planning, participation in health-related behaviours (impulsive eating, impulsive drinking, exercise avoidance, watching diet, alcohol consumption, physical activity participation), and demographic variables. Participants also completed a measure of implicit self-control using an implicit association test., Results: Analyses indicated significant negative relations between implicit self-control and impulsive drinking and alcohol consumption. We also found a positive relationship between implicit self-control and exercise behaviour, and a negative relationship between implicit self-control and impulsive eating, both of which fell marginally short of statistical significance. Trait self-control significantly predicted all behavioural measures and attenuated relations between implicit self-control and health-related behaviour. We found no relations between lay beliefs in self-control and health-related behaviour. Moderated path analyses revealed that lay beliefs in self-control moderated relations between trait self-control and impulsive drinking, implicit self-control and exercise avoidance, and implicit self-control and physical activity participation., Conclusions: Findings suggest that trait self-control was a consistent correlate of health-related behaviour, while the effect sizes of relationships between implicit self-control and health-related behaviours were small. Strength of relations between trait self-control and health-related behaviours may depend on whether or not individuals believe self-control is limited. Statement of contribution What is already known on this subject? Self-control represents individuals capacity to override impulses, break habits, and avoid temptations. Trait self-control is consistently and positively related to uptake of health-promoting behaviours (e.g., physical activity, healthy eating). Trait self-control is consistently and negatively related to health-compromising behaviours (e.g., alcohol consumption, unhealthy snacking). What does this study add? Proposes that self-control can also be measured implicitly, beyond individuals' awareness. Examined effects of implicit measures of self-control and self-reported trait self-control on multiple health behaviours. Effects of implicit self-control on health behaviours were small and subsumed by trait self-control. Effects of lay beliefs in self-control moderated effects of implicit and trait self-control on some health behaviours., (© 2019 The British Psychological Society.)