Faculty Bibliography

As the outgoing editor-in-chief of The Psychoanalytic Study of the Child, I offer my reflections upon the seventy-fifth volume as I look back at the inception of the series in 1945, and my impressions about then and now. While there are most certainly remarkable differences in the zeitgeist, both in terms of culture, the larger social polity, and shifts in psychoanalytic interests, there are also similarities between these two eras which link them in surprising ways.

Previous research has examined how mood affects individuals"™ judgment. Our study aims to extend this research to evaluate the influence of mood on judgment in vivo. Using a smartphone-based design, we prompted participants (N = 103) three times a day to rate their mood and perform one of three judgment tasks three times a day for one week: (1) evaluate their self-efficacy on a word unscrambling task, (2) identify face emotions, or (3) judge risk by pumping virtual balloons. Our results showed that, contrary to our hypotheses, mood did not have a significant effect on the judgments individuals made. Prior task performance and task trial were significant predictors of self-efficacy; sex and task trial were associated with face emotion recognition; and balloons popped the day prior, and task trial influenced how individuals evaluated risk. The in vivo design of this study is a novel and more ecologically valid than some earlier work, but it is not without limitations, including the self-reported nature of mood, and potential for unmeasured third variable effects. This research raises questions about the validity of lab-based studies of the relation between mood and judgment, and shows the capacity of in vivo research and technology to challenge and enhance our understanding of how mood influences behavior.

INTRODUCTION:Attention-deficit/hyperactivity disorder (ADHD) is associated with binge eating (BE), food addiction (FA), and obesity/higher BMI in individuals without alcohol use disorder (AUD). ADHD is highly prevalent in patients with AUD, but it is unknown whether the presence of comorbid AUD might change the nature of the association between ADHD, BE, FA and BMI (food and alcohol may either compete for the same brain neurocircuitry or share vulnerability risk factors). Here, we filled this gap by testing the association between ADHD and FA/BE in adult patients hospitalized for AUD, with the strength of simultaneously assessing childhood and adult ADHD. We also investigated the association between ADHD and BMI, and the other factors associated with BMI (FA/BE, AUD severity). METHODS:We included 149 AUD inpatients between November 2018 and April 2019. We assessed both childhood and adulthood ADHD (Wender Utah Render Scale and Adult ADHD Self-Report Scale), FA (modified Yale Food Addiction Scale 2.0), BE (Binge Eating Scale), and BMI and AUD (clinical assessment). RESULTS:In multivariable analyses adjusted for age, adult ADHD was associated with higher BE scores (p = .048), but not significant BE (9% vs. 7%; p = .70). ADHD was also associated with FA diagnosis and the number or FA symptoms, with larger effect size for adult (ORs: 9.45[95%CI: 2.82-31.74] and 1.38[1.13-1.69], respectively) than childhood ADHD (ORs: 4.45[1.37-14.46] and 1.40[1.13-1.75], respectively). In multivariable analysis, BMI was associated with both significant BE (p < .001) and FA diagnosis (p = .014), but not adult ADHD nor AUD severity. CONCLUSION:In patients hospitalized for AUD, self-reported adult ADHD was associated with FA and BE, but not BMI. Our results set the groundwork for longitudinal research on the link between ADHD, FA, BE, and BMI in AUD inpatients.