Neuroendocrinological factors in binge eating disorder: A narrative review

Association between endocrine and neuropsychological endophenotypes and gambling disorder severity

BACKGROUND

Neurobiological characteristics have been identified regarding the severity of gambling disorder (GD). The aims of this study were: (1) to examine, through a path analysis, whether there was a relationship between neuroendocrine features, potentially mediational GD variables, and GD severity, and (2) to associate neuroendocrine variables, with GD severity-related variables according to gambling preferences.

METHODS

The sample included 297 outpatients with GD. We analyzed endocrine concentrations of different appetite-related hormones (ghrelin, liver antimicrobial peptide 2 [LEAP-2], leptin, adiponectin), and neuropsychological performance (working memory, cognitive flexibility, inhibition, decision making, premorbid intelligence). Path analysis assessed mechanisms between neuroendocrine features and GD severity, including mediational GD variables (impulsivity traits and gambling-related cognitive distortions). Partial correlations evaluated the associations between neuroendocrine variables, including impulsivity traits, and variables related to GD severity (DSM-5, South Oaks Gambling Screen, illness duration, and gambling-related cognitive distortions).

RESULTS

Lower adiponectin concentrations predicted greater GD severity, while higher LEAP-2 concentrations predicted more gambling-related cognitive distortions. Likewise, better neuropsychological performance directly predicted GD severity, but worse neuropsychological performance was associated with GD severity through the mediational variables of impulsivity traits and gambling-related cognitive distortions. Also, in non-strategic individuals with GD, poor working memory was associated with gambling expectancies and predictive control. In strategic individuals with GD, poor cognitive flexibility was associated with illusion of control, predictive control, and inability to stop gambling.

CONCLUSIONS

These results provide updated information about the comprehension of the interaction between neuroendocrine features, clinical variables, and severity of GD. Thus, neurobiological functions seem to be strongly related to GD severity.

Eating disorders and obesity: bridging clinical, neurobiological, and therapeutic perspectives

Eating disorders (EDs) and obesity are complex health conditions sharing various risk and maintenance factors, intensified in cases of comorbidity. This review explores the similarities and connections between these conditions, examining different facets from a multidisciplinary perspective, among them comorbidities, metabolic and psychological factors, neurobiological aspects, and management and therapy implications. We aim to investigate the common characteristics and complexities of weight and EDs and explore their interrelationships in individuals who experience both. The rising prevalence of EDs in people with obesity necessitates integrated approaches to study this comorbidity and to identify and analyze both common and distinct features of these conditions. This review may offer new opportunities for simultaneous prevention and management approaches, as well as future lines of research.

Effects of mindfulness-based interventions on cardiovascular risk factors: An umbrella review of systematic reviews and meta-analyses

OBJECTIVE

Reviews have shown that mindfulness-based interventions (MBIs) were effective in improving cardiovascular risk factors (CVRFs), but the results were contradictory. This umbrella review aimed to summarize and grade the existing reviews on CVRFs associated with MBIs.

METHODS

The protocol of this umbrella review had been registered in PROSPERO (CRD42022356812). PubMed, Web of science, Embase, The Cochrane Library, Scopus, Medline, PsycINFO and CINAHL were searched from database inception to 20 July 2022. The quality of evidence was assessed through GRADE.

RESULTS

Twenty-seven reviews with 14,923 participants were included. Overall, 45% of reviews had low heterogeneity (I2 < 25%). For the quality of evidence, 31% were rated very low, 42% were rated low, 17% were rated moderate and 10% were rated high. MBIs significantly improved systolic blood pressure [SMD -5.53 mmHg (95% CI -7.81, -3.25)], diastolic blood pressure [SMD -2.13 mmHg (95% CI -2.97, -1.30)], smoking [Cohen's d 0.42 (95% CI 0.20, 0.64)], glycosylated hemoglobin [MD 0.01 (95% CI -0.43, -0.07)], binge eating behavior [SMD -6.49 (95% CI -10.80, -2.18)], depression [SMD -0.72 (95% CI -1.23, -0.21)] and stress [SMD -0.67 (95% CI -1.00, -0.34)].

CONCLUSIONS

In conclusion, this umbrella review provided evidence for the role of MBIs in the improvement of CVRFs.

Dysfunctional decision-making in binge-eating disorder: A meta-analysis and systematic review

Binge-Eating Disorder (BED) involves anticipatory craving and urges, subjective loss-of-control during binge-eating episodes, and post-feeding psychological distress and guilt. Evidence indicates neurocognitive dysfunctions contribute to BED onset, maintenance, and treatment response. However, an integrated understanding of how cognitive processes underpin BED symptomology is lacking. We utilised a multi-stage decision-making model defining ten cognitive processes underpinning Preference Formation, Choice Implementation, Feedback Processing, and Flexibility/Shifting, to comprehensively review research published since 2013. We used preregistered PICOS criteria to assess 1966 articles identified from PubMed, PsycInfo, and Scopus database searches. This yielded 50 studies reporting behavioural cognitive tasks outcomes, comparing individuals with BED to controls with normal and higher weight. Meta-analyses revealed a unique profile of cognitive dysfunctions that spanned all decision-making stages. Significant deficits were evident in Uncertainty Evaluation, Attentional Inhibition, Choice Consistency, and Cognitive Flexibility/Set-shifting. We propose a novel model of dysfunctional decision-making processes in BED and describe their role in binge-eating behaviour. We further highlight the potential for cognitive interventions to target these processes and address the significant treatment gap in BED.