Disgust, impulsivity and depressive dimensions in subjects at risk for bulimia nervosa and/or binge eating disorder

The association of impulsivity with depression and anxiety symptoms: A transdiagnostic network analysis and replication

BACKGROUND

Impulsivity increases the risk for depression and anxiety. However, the granular pathways among them remain unknown. A network approach that moves from disorder-level analysis to symptom-level analysis can provide further understanding of psychopathological mechanisms. In this study, we examined the network structure of impulsivity and separate and comorbid symptoms of depression and anxiety.

METHODS

Regularized partial-correlation networks were estimated using cross-sectional data from 1047 Chinese participants aged 18-26 years (main dataset, mean age = 21.45 ± 2.01 years) and 325 Chinese participants aged 18-36 years (an independent replication dataset, mean age = 21.49 ± 3.73 years), including impulsivity-depression, impulsivity-anxiety, and impulsivity-depression-anxiety networks. The datasets were collected from 1 June 2023 to 4 August 2023 and from 27 April 2022 to 16 May 2022, respectively. Impulsivity, depression, and anxiety were assessed using Barratt Impulsiveness Scale Version 11, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7, respectively. Bridge centrality was analyzed, and a network comparison test (NCT) was conducted to investigate the differences between the main dataset and replication dataset.

RESULTS

The motor impulsivity dimension was revealed to be closely connected with individual symptoms of depression and anxiety regardless of whether they were in separate disorder forms or comorbid forms. In all the networks, motor impulsivity was the most important bridge node. The NCT showed comparable network connectivity and network structure between the main and replication datasets.

LIMITATIONS

The use of cross-sectional data limited the inferences about the direction of causality between variables.

CONCLUSIONS

These findings elucidate the psychopathological mechanisms underlying how impulsivity functions within depression, anxiety, and comorbidity and support that motor impulsivity is an important risk factor across different mental disorders and is responsible for comorbidity. The implications of these findings are discussed.

Trait Impulsivity and Choice Impulsivity in Young Adult Students With Probable Binge Eating Disorder

BACKGROUND

Binge eating disorder (BED) as a public health problem has been included in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). Akin to addictive disorders, impulsivity-related neuropsychological constructs might be potentially involved in the onset and development of BED. However, it remains unclear which facets of impulsivity are connected to overeating and binge eating behaviors among non-clinical populations. The present study aimed to detect the relationship between impulsivity and binge eating both on the personality-trait and behavioral-choice levels in undiagnosed young adults.

METHODS

Fifty-eight individuals with probable BED and 59 healthy controls, matched on age, gender, and educational level, were assessed by using a series of self-report measurements, including the Barratt Impulsiveness Scale (BIS-11), UPPS-P Impulsive Behaviors Scale (UPPS-P), Delay Discounting Test (DDT), and Probability Discounting Test (PDT).

RESULTS

Multivariate analysis of variance models revealed that compared with healthy controls, the probable BED group showed elevated scores on the BIS-11 Attentional and Motor impulsiveness, and on the UPPS-P Negative Urgency, Positive Urgency, and Lack of Perseverance. However, the probable BED subjects had similar discounting rates on the DDT and PDT with healthy controls. Regression models found that Negative Urgency was the only positive predictor of binge eating behavior.

CONCLUSIONS

These findings suggested that typical facets of trait impulsivity, which have been recognized in addictive disorders, were associated with binge eating in young adults, whereas choice impulsivity was not aberrantly seen in the same probable BED sample. This study might promote a better understanding of the pathogenesis of BED.

Network Analysis of Eating Disorders Symptoms Co-occurring With Impulsive Personality Traits and Negative Mood States in Patients With Bulimia Nervosa

BACKGROUND

Bulimia nervosa (BN) is characterized by recurrent episodes of eating large amounts of food without control. Studies have found positive correlations of BN symptoms with impulsive traits and negative affect. However, the network relationship supporting BN symptoms is unclear.

METHODS

The study participants included female BN patients (146) and healthy controls (HCs, 146). The participants were matched for age. All participants completed the Eating Disorder Examination Questionnaire 6.0, Barratt Impulsiveness Scale-11, Beck Anxiety Inventory, and Beck Depression Inventory. We characterized the centrality parameters of BN, impulsiveness, and anxiety and depression symptoms of BN patients compared with HCs.

RESULTS

Among all symptoms in the constructed BN group network, Shape dissatisfaction had the highest strength. In the BN group network, three clusters of symptoms ("ED-specific symptoms," "impulsivity," and "anxiety and depression") were linked to each other by several symptoms. Compared to the HC network, impulsiveness was strongly associated with Concerns about Others Seeing One Eat in the BN network.

CONCLUSION

This study shows that ED-specific symptoms, i.e., Shape dissatisfaction, play a key role in BN. The cognition of "shape dissatisfaction" is a basis, and impulsivity and emotional symptoms are maintaining factors that may lead to BN development.

A study on binge eating behavior in urban adolescents

AIM

The study was aimed at studying binge eating behavior in urban adolescents. This was in keeping with the increasing prevalence of obesity and lifestyle disorders amongst Indian population especially in adolescent groups.

METHODS

2000 adolescents English speaking schools in Mumbai were administered the Binge Eating Scale and the Eating Behaviors and Pattern Questionnaire after assent and parental consent. The prevalence of Binge eating behavior was estimated along with the socio-demographic data and other data from scale which was analyzed using the Chi square test and ANOVA where appropriate.

RESULTS

The mean age of the total sample was 15.05 ± 1.65 years. Females reported higher Binge eating behavior than males and majority of the sample belonging to upper and lower middle- class families reported high binge eating behavior. The prevalence of Binge eating behavior was high with 1002 (50.1 %) adolescents reporting moderate binge eating while 736 (36.8 %) reporting severe binge eating. Significantly greater adolescents in the binge eating group reported irregular menses and being overweight and obese. There was a significantly greater proportion of adolescents in the binge eating group that ate out weekly and ate more fried food.

CONCLUSION

There is an increasing trend of obesity and lifestyle disorders in adolescent population that can be linked to Binge eating behavior however, the role of binge eating in context of one of the potential cause of lifestyle disorders and obesity has not been studied in Indian adolescents despite the prevalence of Binge eating and overweight being high in this population, we need further larger studies to corroborate the findings of this study.

Borderline personality disorder and its association with bipolar spectrum and binge eating disorder in college students from South India

BACKGROUND

Borderline personality disorder (BPD) usually emerges during adolescence and is associated with severe morbidity. Individuals with BPD are also vulnerable to develop eating disorders as well as mood disorders.

OBJECTIVE

To study the prevalence of borderline personality and its association with binge-eating and bipolar spectrum disorder in college students.

METHODS

A questionnaire based survey was conducted on a convenience sample of 500 college students (>18 years of age) in medical and engineering campus. Participants were screened on self-report measures including McLean Screening Instrument for BPD (MSI-BPD), Mood Disorder Questionnaire (MDQ) and Binge-Eating Disorder Screener (BEDS-7) for BPD, bipolar spectrum disorder (BSD) and binge-eating disorder (BED), respectively.

RESULTS

The prevalence of BPD was 76 (15.2%, 95% CI 12.3-18.6), BSD was 43 (8.6%, 95% CI 6.4-11.5) and BED was 48 (9.6%, 95% CI 7.2-12.6). There was a significantly higher proportion of BSD (OR 23.6, 95% CI 11.3-49.3) and BED (OR 3.4, 95% CI 1.8-6.5) among those with BPD than those without.

CONCLUSIONS

BPD was found in 15% of adolescents and they have higher proportion of BED and BSD. Early identification may help in planning early intervention strategies to reduce associated morbidity.