What Next for Eating Disorder Genetics? Replacing Myths With Facts to Sharpen Our Understanding.

Substantial progress has been made in the understanding of anorexia nervosa (AN) and eating disorder (ED) genetics through the efforts of large-scale collaborative consortia, yielding the first genome-wide significant loci, AN-associated genes, and insights into metabo-psychiatric underpinnings of the disorders. However, the translatability, generalizability, and reach of these insights are hampered by an overly narrow focus in our research. In particular, stereotypes, myths, assumptions and misconceptions have resulted in incomplete or incorrect understandings of ED presentations and trajectories, and exclusion of certain patient groups from our studies. In this review, we aim to counteract these historical imbalances. Taking as our starting point the Academy for Eating Disorders (AED) Truth #5 "Eating disorders affect people of all genders, ages, races, ethnicities, body shapes and weights, sexual orientations, and socioeconomic statuses", we discuss what we do and do not know about the genetic underpinnings of EDs among people in each of these groups, and suggest strategies to design more inclusive studies. In the second half of our review, we outline broad strategic goals whereby ED researchers can expand the diversity, insights, and clinical translatability of their studies. Appeared originally in Mol Psychiatry 2022; 27:3929-3938.

The impact of stress and well-being during the COVID-19 pandemic on mental health in U.S. veterans.

The COVID-19 pandemic disrupted life around the globe and negatively impacted mental health (MH), including among military veterans. Building on previous research with U.S. veterans, the present study examined the association between a broad array of pandemic stressors and well-being on MH outcomes. A total of 372 veterans (51.3% women) from all service eras completed measures of posttraumatic stress disorder and depression during early (timepoint 1 [T1]) and peri-pandemic (timepoint 2 [T2]) periods. Pandemic-related stressors and well-being (satisfaction in life domains) were assessed at the peri-pandemic timepoint (T2). Logistic regression analyses were used to investigate associations between stressors and well-being with the likelihood of a probable MH diagnosis at T2 controlling for T1 MH status. More negative physical and MH impacts of the pandemic in addition to fewer positive consequences and lower satisfaction with paid work, finances, health, romantic relationships, and social life were associated with a higher likelihood of a probable T2 MH diagnosis. COVID infection was associated with lower odds of a probable T2 MH diagnosis. There were significant indirect effects, such that physical and MH impacts of the pandemic were associated with T2 MH via well-being. Overall, these findings highlight the role of stress and well-being on MH during a global pandemic. Interventions to address well-being may be important to address veteran MH during other periods of stress. Future research should examine the generalizability of study findings and further investigate factors that contribute to veterans' MH resilience during stressful life experiences.

Identifying candidate mechanisms of comorbidity in disordered eating and posttraumatic stress disorder symptoms among U.S. veterans: A network analytic approach.

OBJECTIVE: Comorbidity between posttraumatic stress disorder (PTSD) and disordered eating (DE) symptoms is common, reflecting a possible reciprocal relationship between these disorders. Network analysis may reveal candidate mechanisms underlying their comorbidity and highlight important treatment targets. METHOD: Two national samples of U.S. veterans endorsing trauma exposure self-reported PTSD and DE symptoms. The discovery sample included veterans from all service eras (n = 434). The validation sample included recently separated post-9/11 veterans (n = 507). We fit graphical lasso models to evaluate the network structure of PTSD factors based on the seven-factor "hybrid" model and DE symptoms within each sample. We used strength scores to identify the most central symptoms within the networks and identified bridge symptoms connecting PTSD and DE features. We tested for network invariance between self-identified men and women within each sample and across the studies. RESULTS: PTSD and DE symptoms clustered as expected within networks for each sample. The strongest nodes in the networks included both PTSD and DE features. The strongest bridge symptoms in both studies included overevaluation of shape and weight, negative affect, and avoidance. Networks were invariant across men and women in each sample and largely invariant across samples. CONCLUSIONS: Cross-sectional network models of PTSD and DE symptoms largely replicated across national samples of U.S. veterans and between men and women within samples. Cognitive features of both disorders, along with avoidance, may partially underlie comorbidity and represent potential treatment targets. (PsycInfo Database Record (c) 2024 APA, all rights reserved).