A taxometric investigation of the latent structure of eating disorders

Olatunji, Bunmi O.; Broman-Fulks, Joshua J.; Ciesielski, Bethany G.; Zawilinski, Laci L.; Shewmaker, Shona; Wall, David

doi:10.1016/j.psychres.2011.12.016

Cited by 31 publications

(28 citation statements)

References 27 publications

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“…This similarity in findings is perhaps not surprising, given extensive data in the broader psychopathology field showing the superiority of dimensional models over categorical frameworks for understanding the underlying structure of psychiatric disorders (e.g., see Wright et al, 2013). Although eating disorders are rarely included in these studies of psychopathology, emerging data suggest that eating disorders may be dimensional in nature (Holm-Denoma, Richey, & Joiner, 2010; Keel, Brown, Holland, & Bodell, 2012; Luo, Donnellan, Burt, & Klump, submitted; Olatunji et al, 2012; Tylka & Subich, 2003). Consequently, although additional research is needed, findings thus far suggest that our studies of emotional eating will advance our understanding of more basic behaviors/phenotypes that have underlying genetic and biological dimensions that likely contribute to risk for clinical eating pathology as well.…”

Section: Discussionmentioning

confidence: 99%

Differential Effects of Estrogen and Progesterone on Genetic and Environmental Risk for Emotional Eating in Women

Klump

O'Connor

Hildebrandt

et al. 2016

Clinical Psychological Science

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Recent data show shifts in genetic and environmental influences on emotional eating across the menstrual cycle, with significant shared environmental influences during pre-ovulation, and primarily genetic effects during post-ovulation. Factors driving differential effects are unknown, although increased estradiol during pre-ovulation and increased progesterone during post-ovulation are thought to play a role. We indirectly investigated this possibility by examining whether overall levels of estradiol and progesterone differentially impact genetic and environmental risk for emotional eating in adult female twins (N = 571) drawn from the MSU Twin Registry. Emotional eating, estradiol levels, and progesterone levels were assessed daily and then averaged to create aggregate measures for analysis. As predicted, shared environmental influences were significantly greater in twins with high estradiol levels, whereas additive genetic effects increased substantially across low versus high progesterone groups. Results highlight significant and differential effects of ovarian hormones on etiologic risk for emotional eating in adulthood.

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Section: Discussionmentioning

confidence: 99%

Differential Effects of Estrogen and Progesterone on Genetic and Environmental Risk for Emotional Eating in Women

Klump

O'Connor

Hildebrandt

et al. 2016

Clinical Psychological Science

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“…Future studies should target participants with clinical symptoms or a clinical diagnosis, and compare them against non-clinical populations with high levels of perfectionism. Alternately, a student sample could have their propensity towards eating disorders measured on a continuum, instead of an all-or-none diagnosis (Olatunji et al, 2012). Second, participants in both studies were required to act as participants to earn credit for their Introduction to Psychology experimental requirement.…”

Section: Limitations and Conclusionmentioning

confidence: 99%

The relationship between perfectionism and discounting measures

Wainwright

Romanowich

2016

Personality and Individual Differences

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“…In general, this work suggests that the cognitive correlates of disordered eating (e.g., self-reported dietary restraint, body dissatisfaction, drive for thinness) are continuous with normality (i.e., dimensional) (14). However, the underlying structure of ED behaviors is less clear, with some studies reporting that EDs characterized by binge eating are qualitatively distinct from restrictive EDs and normal behavior (i.e., they are categorical or taxonic) (8), and others finding that a dimensional structure best describes the associations among restrictive and binge-eating/purging EDs (15). Finally, it is important to note that taxonic constructs often are characterized by within-group variability that is dimensional in nature (8).…”

Section: Model # 1: Dimensions Of Ed Psychopathologymentioning

confidence: 99%

incorporating dimensions into the classification of eating disorders: Three models and their implications for research and clinical practice

Wildes

Marcus

2013

Intl J Eating Disorders

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Objective Given renewed interest in dimensional approaches in psychiatric nosology, we review evidence for the utility of including dimensions of eating disorder (ED) psychopathology, comorbid psychopathology, and neurobiology in the classification of EDs. Method We searched on-line databases and reference lists of published papers for articles on dimensional methods in psychiatric classification, with an emphasis on EDs. Results ED classification may be enhanced by including dimensional assessments. Specifically, some ED features appear to exist on a continuum with normality, and dimensional measures of ED severity are likely to have utility in clinical contexts. Furthermore, accumulating data support the validity of ED classification schemes that incorporate dimensions of comorbid psychopathology. Finally, neurobiological dimensions have gained increasing notice across the psychiatric literature and may be particularly salient to the classification of EDs. Discussion An approach to ED classification that incorporates multiple dimensional measures may have the greatest utility for advancing ED treatment.

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A taxometric investigation of the latent structure of eating disorders

Cited by 31 publications

References 27 publications

Differential Effects of Estrogen and Progesterone on Genetic and Environmental Risk for Emotional Eating in Women

Differential Effects of Estrogen and Progesterone on Genetic and Environmental Risk for Emotional Eating in Women

The relationship between perfectionism and discounting measures

incorporating dimensions into the classification of eating disorders: Three models and their implications for research and clinical practice

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