15-year-old female referred to outpatient unit after COVID lockdown for binge eating and purging with depressive symptoms and anxiety.

To show the importance of a correct diagnosis in an impulsive patient with eating disorder

case report and literature review

The patient presents emotional instability with interpersonal difficulties with high fear of rejection. She suffered from fear of gaining weight and desires to lose weight with rejection of her body image. Fluoxetine and lorazepam are started together with low doses of olanzapine. During the follow up she presented a worsening of mood, onset of self-injuries and an episode of suicidal attempt. A biographical examination was performed, expressing a feeling of academic failure with difficulty concentrating and performing simple tasks. As a child she is described as impulsive, with frequent arguments with classmates. CPT III was performed with a high probability of ADHD. Treatment was started with lisdexamfetamine up to 50 mg with good tolerance. From the beginning of the treatment the patient expressed a feeling of improvement in the control of emotions as well as in the management of her impulsivity. There was an improvement in her academic performance with a decrease in self-injury episodes. The patient was able to express improvement in the sense of incapacity she felt.

This case shows how marked emotional dysregulation and impulsive symptoms improves after diagnosis and subsequent treatment of ADHD, also improving eating symptoms. ADHD is present in eating disorders, especially in those with impulse dyscontrol such as binge eating disorder or bulimia nervosa.

No significant relationships.

The weak regulation, or “dysregulation”, of the Behavioural Activation System (BAS) is implicated in the development and recurrence of bipolar disorder. However, there has been a lack of prospective studies investigating the predictive role of BAS dysregulation in relation to bipolar-vulnerability. Furthermore, no studies have tested the prospective predictive utility of the DYS self-report measure of BAS dysregulation in an analogue sample. The goal of the current study was to redress this gap.

Participants (n = 127) completed baseline self-report measures of mood symptoms (Internal States Scale [ISS]), the Hypomanic Personality Scale (HPS), behavioural activation, inhibition and dysregulation of BAS (BIS/BAS and DYS), and at six months, the Mood Disorders Questionnaire (MDQ).

Linear regression analysis indicated a significant main effect of BAS Dysregulation, and a significant interaction between BIS and BAS Fun Seeking, on prospective MDQ scores whilst controlling for baseline mood symptoms and HPS scores. The interaction effect indicated that the relationship between high BAS Fun Seeking and follow-up MDQ scores was strongest when BIS scores were high, whilst the lowest MDQ scores were observed for a combination of low BAS Fun Seeking and high BIS. However, DYS scores were the stronger predictor of MDQ scores compared to the BAS Fun Seeking and BIS interaction.

Bipolar-vulnerability is prospectively associated with heightened BAS Dysregulation, as measured by the DYS subscale, similar to prior findings in clinical samples. Further research investigating the longer-term associations between BAS Dysregulation with the development of clinically significant bipolar mood symptoms is required.

Affective instability (AI) is poorly defined but considered clinically important. The aim of this study was to examine definitions and measures of AI employed in clinical populations.

This study was a systematic review using the PRISMA guidelines. MEDLINE, Embase, PsycINFO, PsycArticles and Web of Science databases were searched. Also five journals were hand searched. Primary empirical studies involving randomized controlled trials (RCTs), non-RCTs, controlled before and after, and observational investigations were included. Studies were selected, data extracted and quality appraised. A narrative synthesis was completed.

A total of 11 443 abstracts were screened and 37 studies selected for final analysis on the basis that they provided a definition and measure of AI. Numbers of definitions for each of the terms employed in included studies were: AI (n = 7), affective lability (n = 6), affective dysregulation (n = 1), emotional dysregulation (n = 4), emotion regulation (n = 2), emotional lability (n = 1), mood instability (n = 2), mood lability (n = 1) and mood swings (n = 1); however, these concepts showed considerable overlap in features. A total of 24 distinct measures were identified that could be categorized as primarily measuring one of four facets of AI (oscillation, intensity, ability to regulate and affect change triggered by environment) or as measuring general emotional regulation.

A clearer definition of AI is required. We propose AI be defined as ‘rapid oscillations of intense affect, with a difficulty in regulating these oscillations or their behavioural consequences’. No single measure comprehensively assesses AI and a combination of current measures is required for assessment. A new short measure of AI that is reliable and validated against external criteria is needed.