Publications by authors named "L E Sandoval-Araujo"
We provide commentary on the Grilo and Pittman (2024). Exploring Dietary Restraint as a Mediator of Behavioral and Cognitive-Behavioral Treatments on Outcomes for Patients With Binge-Eating Disorder With Obesity article published in the International Journal of Eating Disorders. Grilo and Pittman show that weight loss in the Behavioral Weight Loss Treatment condition is mediated by an increase in rigid restraint, whereas binge eating is not mediated by rigid restraint.
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- The study explores whether machine learning (ML) algorithms can differentiate between anorexia nervosa (AN) and atypical anorexia nervosa (atypical AN) by analyzing various features while excluding BMI.
- Results showed that ML classifiers performed well when BMI was included (about 75% accuracy) but significantly less effectively without it (just over 59% accuracy).
- The findings suggest that BMI is critical for distinguishing between AN and atypical AN, prompting a reconsideration of the diagnostic criteria for atypical AN as it shares many characteristics with AN.
Item selection is a critical decision in modeling psychological networks. The current preregistered two-study research used random selections of 1,000 symptom networks to examine which eating disorder (ED) and co-occurring symptoms are most central in longitudinal networks among individuals with EDs (N = 71, total observations = 6,060) and tested whether centrality changed based on which items were included in the network. Participants completed 2 weeks of ecological momentary assessment (five surveys/day).
View Article and Find Full Text PDFBackground: Eating disorders (ED) are serious psychiatric disorders, taking a life every 52 minutes, with high relapse. There are currently no support or effective intervention therapeutics for individuals with an ED in their everyday life. The aim of this study is to build idiographic machine learning (ML) models to evaluate the performance of physiological recordings to detect individual ED behaviors in naturalistic settings.
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- Treatments for eating disorders (EDs) are only effective for about 50% of adults, partly due to the varied nature of these disorders and a lack of evidence-based options for some diagnoses.
- A trial with 79 participants tested a 10-session personalized treatment approach that utilizes individual symptom data to tailor therapy, showing high feasibility, acceptability, and initial effectiveness in reducing ED severity.
- Results indicated significant improvements in ED symptoms and related issues, suggesting that this personalized method could serve as a promising alternative to traditional treatments, warranting further research and randomized controlled trials.