Perfectionism and impulsivity based risk profiles in eating disorders

The Mediating Effect of Coping Strategies and Emotion Regulation in the Relationship between Impulsivity, Metacognition, and Eating Disorders

BACKGROUND

Risk factors for eating disorders are multifaceted and complex, so it is crucial to elucidate the role of executive functions, including impulsivity and metacognition, and coping strategies in the severity of eating behaviors. The study aims were threefold: (1) to analyze gender differences in impulsivity, metacognition, coping strategies, emotion regulation, and eating disorders; (2) to examine the correlation between the study variables; and (3) to test the mediating role of coping and emotion-regulation strategies in the relationship between metacognition, impulsivity, and eating disorders.

METHODS

A total of 1076 participants (Mage = 21.78, SD = 5.10; 77.7% women) completed a set of questionnaires. Two mediation analyses were conducted to test the mediating role of coping strategies, including emotion regulation, in the relationship between executive functions (i.e., impulsivity and metacognition) and eating disorders.

RESULTS

Women displayed higher coping strategies, specifically emotional expression, wishful thinking, and social support, whereas men presented greater social withdrawal. Mediational analyses showed a significant association between impulsivity, metacognition, and eating disorders, whose relationship was partially mediated by coping strategies and mainly by emotion regulation.

CONCLUSION

Interventions based on coping strategies and emotion regulation could be a feasible and effective option to deal with eating disorders among the young population.

Reading tea leaves or tracking true constructs? An assessment of personality-based latent profiles in eating disorders

Background

Eating disorder (ED) subtyping studies have often extracted an undercontrolled, an overcontrolled and a resilient profile based on trait impulsivity and perfectionism. However, the extent to which methodological choices impact the coherence and distinctness of resulting subtypes remains unclear.

Objective

In this paper, we aimed to assess the robustness of these findings by extracting personality-based subtypes on a sample of ED patients (N = 221) under different analytic conditions.

Methods

We ran four latent profile analyses (LPA), varying the extent to which we constrained variances and covariances during model parametrization. We then performed a comparative analysis also including state ED symptom measures as indicators. Finally, we used cross-method validation via k-means clustering to further assess the robustness of our profiles.

Results

Our results demonstrated a four-profile model based on variances in impulsivity and perfectionism to fit the data well. Across model solutions, the profiles with the most and least state and trait disturbances were replicated most stably, while more nuanced variations in trait variables resulted in less consistent profiles. Inclusion of ED symptoms as indicator variables increased subtype differentiation and similarity across profiles. Validation cluster analyses aligned most with more restrictive LPA models.

Conclusion

These results suggest that ED subtypes track true constructs, since subtypes emerged method-independently. We found analytic methods to constrain the theoretical and practical conclusions that can be drawn. This underscores the importance of objective-driven analytic design and highlights its relevance in applying research findings in clinical practice.

Identifying overcontrol and undercontrol personality types among young people using the five factor model, and the relationship with disordered eating behaviour, anxiety and depression

BACKGROUND

Overcontrol and undercontrol personality types have been associated with an increase in eating pathology, depression and anxiety. The aim of the research was to explore whether latent overcontrol and undercontrol personality types could be identified using cluster analysis of the facets of the five factor model (FFM). We further aimed to understand how these personality types were associated with eating pathology, depressed mood and anxiety.

METHODS

A total of 561 participants (394 women and 167 men), aged 16-30 years in Australia completed a survey designed to assess disordered eating, FFM personality traits, anxiety, depression and stress. A systematic four-step process using hierarchical, k-means, and random forest cluster analyses were used to identify a meaningful 3-cluster solution.

RESULTS

The results revealed a cluster solution that represented overcontrol, undercontrol and resilient personality types, and highlighted facets of the FFM that were associated with each type. Both overcontrol and undercontrol personality types were associated with increased clinical symptoms compared to the resilient types.

CONCLUSIONS

It was concluded that FFM facets may potentially be more meaningful than broad domains in identifying personality types, and that both overcontrol and undercontrol personality types are likely associated with increased clinical symptoms.

Self-regulation profiles reflecting distinct levels of eating disorder and comorbid psychopathology in the adult population: A latent profile analysis

OBJECTIVE

Previous research showed that individuals with eating disorders (EDs) can be subtyped by their levels of psychopathology and self-regulation abilities. However, nothing is known about whether self-regulation abilities are solely suited to depict the heterogeneity in ED and comorbid psychopathology in nonclinical samples. Therefore, this study sought to explore self-regulation profiles and their ability to discriminate ED, depression and anxiety disorders, and personality dysfunction in the adult population.

METHODS

Within a German representative sample, N = 2391 adults (18-92 years) were examined using latent profile analysis to identify profiles based on established cognitive and emotional self-regulation scales including attention control, cognitive reappraisal, and difficulties in identifying feelings. Profiles were validated with ED, depression, anxiety, and personality dysfunction measures.

RESULTS

The final solution selected as best balancing goodness of fit and interpretability included four profiles-High-Functioning, Moderate-Functioning, Dysregulated, and Alexithymic-with high explanatory power of R²  = .99. Profiles were characterized primarily by differences in difficulties in identifying feelings followed by differences in attention control and differed significantly regarding ED, depression and anxiety disorders, and personality dysfunction, with the Dysregulated profile showing the most unfavorable correlates.

CONCLUSIONS

This study uniquely revealed that low cognitive and emotional self-regulation were indicators for ED, depression, anxiety, and personality dysfunction in the adult population. Future research should investigate whether the identified profiles predict the development of ED and comorbid psychopathology longitudinally.

PUBLIC SIGNIFICANCE

Individuals with eating disorders present with difficulties in cognitive and emotional self-regulation, likely maintaining their symptoms. This representative study in the German adult population sought to build profiles based on cognitive and emotional self-regulation that differed in eating disorder and comorbid psychopathology. We discuss the potential to detect individuals with elevated eating disorder and comorbid psychopathology based on the identified profiles in nonclinical settings.

Bottom-up transdiagnostic personality subtypes are associated with state psychopathology: A latent profile analysis

Introduction

Personality-based profiling helps elucidate associations between psychopathology symptoms and address shortcomings of current nosologies. The objective of this study was to bracket the assumption of a priori diagnostic class borders and apply the profiling approach to a transdiagnostic sample. Profiles resembling high-functioning, undercontrolled, and overcontrolled phenotypes were expected to emerge.

Methods

We used latent profile analysis on data from a sample of women with mental disorders (n = 313) and healthy controls (n = 114). 3-5 profile solutions were compared based on impulsivity, perfectionism, anxiety, stress susceptibility, mistrust, detachment, irritability, and embitterment. The best-fitting solution was then related to measures of depression, state anxiety, disordered eating, and emotion regulation difficulties to establish clinical significance.

Results

A 5-profile solution proved best-fitting. Extracted profiles included a high-functioning, a well-adapted, an impulsive and interpersonally dysregulated, an anxious and perfectionistic, and an emotionally and behaviorally dysregulated class. Significant differences were found in all outcome state measures, with the emotionally and behaviorally dysregulated class exhibiting the most severe psychopathology.

Discussion

These results serve as preliminary evidence of the predictive nature and clinical utility of personality-based profiles. Selected personality traits should be considered in case formulation and treatment planning. Further research is warranted to replicate the profiles and assess classification stability and profiles' association with treatment outcome longitudinally.

Associations between COVID-19 pandemic impact, dimensions of behavior and eating disorders: A longitudinal UK-based study

BACKGROUND

There is growing concern about how people with eating disorders are impacted by the widespread societal restructuring during the COVID-19 crisis.

AIMS

We aimed to examine how factors relating to the impact of the pandemic associate with eating disorders and quantify this relationship while adjusting for concurrent and longitudinal parameters of risk.

METHODS

We gathered demographic, behavioral and clinical data pre- and mid-pandemic as well as childhood trauma history from a longitudinal online survey of 489 adults (mean age 23.4 years) recruited from the Neuroscience in Psychiatry Network (NSPN). Using pre-pandemic (T1) and concurrent (T2) data we aimed to predict eating disorders at mid-pandemic (T2). We deployed hierarchical generalized logistic regression to ascertain the strength of longitudinal and concurrent associations.

RESULTS

Pre-pandemic eating disorder scores strongly associated with concurrent eating disorder (z = 5.93). More conflict at home mid-pandemic (z = 2.03), pre- (lower sensation seeking z = -2.58) and mid-pandemic (higher lack of perseverance z = 2.33) impulsivity traits also associated with mid-pandemic eating disorder.

CONCLUSION

Conflict at home mid-pandemic and specific aspects of impulsiveness significantly associated with concurrent eating disorder when adjusted for pre-pandemic eating disorder symptoms, baseline demographics, behavioral traits, history of traumatic experiences and concurrent psychopathology. These results provide insight into the struggles of those suffering with eating disorders during the COVID-19 pandemic and highlight the importance of impulsiveness traits and the immediate family environment in their experience of illness during the pandemic.

Mediating Mechanisms of Perfectionism: Clinical Comorbidity of OCD and ED

Obsessive-compulsive disorder (OCD) and eating disorders (ED) share common causal factors and often represent similar entities. Studies on obsessive-compulsive disorders and eating disorders reveal a significant correlation between maladaptive perfectionism. The objective of this study is to evaluate the predictive variables of perfectionism in patients diagnosed with Anorexia Nervosa (AN), Bulimia Nervosa (BN) and OCD using a structural equation model (SEM). The sample consisted of 187 participants (60.9% women, 39.1% men) with a mean age of 26.68 (SD = 10.97). The findings reveal that the model is the same in all the disorders evaluated, achieving an adequate fit: χ2 = 7.95 (p = 0.000), RMSEA = 0.087 (95% confidence interval: 0.00 to 0.02), CFI = 0.991, TLI = 0.951 and with an overall predictive capacity of around 30% (CD = 0.318). It is recommended that future studies address the subtypes of disorders evaluated using longitudinal designs.