Application of structural equation mixture modeling to characterize the latent structure of eating pathology

Forbush, Kelsie T.; Wildes, Jennifer E.

doi:10.1002/eat.22634

Cited by 13 publications

(9 citation statements)

References 41 publications

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“…First, a comprehensive review of taxometric research concluded that there is little support for discrete groups within the continuously distributed internalizing and externalizing spectra, as well as normal and maladaptive personality, although the evidence was less conclusive for schizotypy and substance use (Haslam, Holland, & Kuppens, 2012). Second, studies using latent variable modelling approaches also generally find that dimensional models fit data better than categorical models, in particular for disorders from the internalizing and externalizing spectra (Aslinger, Manuck, Pilkonis, Simms, & Wright, 2018;Conway, Hammen, & Brennan, 2012;Eaton et al, 2013;Krueger, Markon, Patrick, & Iacono, 2005;Luo, Donnellan, Burt, & Klump, 2016;Wright et al, 2013), although there is also some evidence of discontinuity (Forbes, Baillie, & Schniering, 2016;Forbush & Wildes, 2017;Klein & Kotov, 2016). Individual symptoms have typically also been found to be continuous rather than binary (Flett, Vredenburg, & Krames, 1997;Van Os, Linscott, Myin-Germeys, Delespaul, & Krabbendam, 2009).…”

Section: Hierarchical and Quantitative Genetic Architecture -Evidencementioning

confidence: 99%

Redefining Phenotypes to Advance Psychiatric Genetics: Implications from Hierarchical Taxonomy of Psychopathology

Waszczuk¹

2018

Preprint

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Genetic discovery in psychiatry and clinical psychology is hindered by suboptimal phenotypic definitions. We argue that the hierarchical, dimensional, and data-driven classification system proposed by the Hierarchical Taxonomy of Psychopathology (HiTOP) consortium provides a more effective approach to identifying genes that underlie mental disorders, and to studying psychiatric etiology, than current diagnostic categories. Specifically, genes are expected to operate at different levels of the HiTOP hierarchy, with some highly pleiotropic genes influencing higher-order psychopathology (e.g. the general factor), whereas other genes conferring more specific risk for individual spectra (e.g. internalizing), subfactors (e.g. fear disorders), or narrow symptoms (e.g. mood instability). We propose that the HiTOP model aligns well with the current understanding of the higher-order genetic structure of psychopathology that has emerged from a large body of family and twin studies. We also discuss the convergence between the HiTOP model and findings from recent molecular studies of psychopathology indicating broad genetic pleiotropy, such as cross-disorder SNP-based shared genetic covariance and polygenic risk scores, and we highlight molecular genetic studies that have successfully redefined phenotypes to enhance precision and statistical power. Finally, we suggest how to integrate a HiTOP approach into future molecular genetic research, including quantitative and hierarchical assessment tools for future data-collection and recommendations concerning phenotypic analyses.

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Section: Hierarchical and Quantitative Genetic Architecture -Evidencementioning

confidence: 99%

Redefining Phenotypes to Advance Psychiatric Genetics: Implications from Hierarchical Taxonomy of Psychopathology

Waszczuk¹

2018

Preprint

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“…We defined “at-risk binge eating” as averaging one or more objective binge eating episodes per month over the previous 3 months. We chose this definition because it is less than the frequency required for a DSM–5 diagnosis of binge eating disorder or bulimia nervosa (American Psychiatric Association, 2013), and research suggests that those who binge eat tend to be qualitatively different from those with other forms of eating pathology (Forbush & Wildes, 2016; Gleaves, Brown, & Warren, 2004), which suggests that any frequency of binge eating may be clinically significant. We defined “at-risk gambling” as meeting at least one of the following criteria over the past year: engaging in at least four gambling activities, gambling in a casino or using slot machines, spending > $153.50 on gambling, or gambling at least four times per month.…”

Section: Methodsmentioning

confidence: 99%

Binge eating and problem gambling are prospectively associated with common and distinct deficits in emotion regulation among community women.

Farstad

Ranson

2021

Canadian Journal of Behavioural Science / Revue canadienne des

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To elucidate similarities and differences between binge eating and a behavioural addiction, this prospective study compared facets of emotion regulation that were associated with problem gambling, the only formally recognised behavioural addiction, and binge eating. Community-based women (N ϭ 202) who engaged in at-risk binge eating (n ϭ 79), at-risk gambling (n ϭ 36), or both (n ϭ 87) completed four online assessments over 6 months. Baseline and 6-month surveys assessed self-reported emotion dysregulation (using the Difficulties in Emotion Regulation Scale [DERS] and UPPS-P), binge eating (using the Eating Disorder Examination-Questionnaire), and gambling (using the Problem Gambling Severity Index); abbreviated 2-and 4-month surveys assessed only binge eating and gambling. Binge eating and problem gambling were both associated with emotion dysregulation, and greater positive urgency was correlated with more severe problem gambling but less frequent binge eating. Negative urgency explained no unique variance in binge eating or problem gambling changes over time once other facets of emotion dysregulation (i.e., positive urgency and facets assessed by the DERS) were included. Thus, previous cross-sectional research may have overestimated the association of negative urgency with both binge eating and problem gambling. Overall, these findings suggest that binge eating and problem gambling are associated with common as well as distinct emotion regulation deficits. Public Significance StatementIt is unclear whether binge eating should be considered a behavioural addiction like problem gambling. As both problems tend to involve difficulties with emotion regulation, this study examined similarities and differences in emotion regulation problems experienced by women with binge eating, gambling, or both problems over 6 months. The pattern of results showed that binge eating and problem gambling shared some but not all emotion regulation difficulties, suggesting that binge eating may not be an addiction.

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“…Eating disorders (EDs) are among the most medically compromising psychiatric illnesses (Harris & Barraclough, 1998; Smink, van Hoeken, & Hoek, 2013) and are characterized by substantial heterogeneity in symptoms (Dechartres et al, 2011; Forbush & Wildes, 2016). When patients are grouped into empirically derived latent groups according to their symptom profiles, group membership is predictive of symptom remission, readmission, and mortality (Escobar‐Koch et al, 2010; Peterson et al, 2013; Sysko, Hildebrandt, Wilson, Wilfley, & Agras, 2010).…”

Section: Introductionmentioning

confidence: 99%

Latent trajectories of eating disorder treatment response among female patients in residential care

Espel‐Huynh

Zhang

Boswell

et al. 2020

Intl J Eating Disorders

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Objective: Eating disorder (ED) treatment outcomes are highly variable from beginning to end of treatment; however, little is known about differential trajectories during the course of treatment. This study sought to characterize heterogeneous patterns of ED treatment response during residential care. Method: Participants were adolescent girls and adult women (N = 360) receiving residential ED treatment for anorexia nervosa, bulimia nervosa, binge-eating disorder, other specified feeding or eating disorder, unspecified feeding or eating disorder, or avoidant/ restrictive food intake disorder. Self-report symptom assessments were completed at admission, discharge, and approximately weekly throughout the residential stay to assess curvilinear patterns of change. Latent growth mixture modeling was applied to identify subgroups of patients with similar treatment response trajectories. Results: Three latent groups emerged, including gradual response (58.3%; steady improvements from admission to discharge), rapid response (23.9%; steep early improvements that were maintained through discharge), and low-symptom static response (17.8%; nearly nonclinical self-reported symptoms at admission that remained static through discharge). Groups differed on important clinical characteristics, such as body mass index, endorsement of compensatory behaviors, severity of global ED psychopathology at admission, and degree of symptom improvement by end of treatment. Discussion: Patients follow heterogeneous response patterns in residential ED treatment, and these patterns are associated with differential treatment outcome. Future work should explore whether these trajectories are associated with differential outcomes at follow-up and whether tailoring clinical intervention to a patient's trajectory type can improve treatment response. K E Y W O R D S feeding and eating disorders, outcome and process assessment, residential treatment 1 | INTRODUCTION Eating disorders (EDs) are among the most medically compromising psychiatric illnesses (Harris & Barraclough, 1998; Smink, van Hoeken, & Hoek, 2013) and are characterized by substantial heterogeneity in symptoms (Dechartres et al., 2011; Forbush & Wildes, 2016). When patients are grouped into empirically derived latent groups according to their symptom profiles, group membership

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Application of structural equation mixture modeling to characterize the latent structure of eating pathology

Cited by 13 publications

References 41 publications

Redefining Phenotypes to Advance Psychiatric Genetics: Implications from Hierarchical Taxonomy of Psychopathology

Redefining Phenotypes to Advance Psychiatric Genetics: Implications from Hierarchical Taxonomy of Psychopathology

Binge eating and problem gambling are prospectively associated with common and distinct deficits in emotion regulation among community women.

Latent trajectories of eating disorder treatment response among female patients in residential care

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