scholarly journals Sex differences in eating related behaviors and psychopathology among adolescent military dependents at risk for adult obesity and eating disorders

2019 ◽  
Vol 33 ◽  
pp. 73-77 ◽  
Author(s):  
Mary Quattlebaum ◽  
Natasha L. Burke ◽  
M.K. Higgins Neyland ◽  
William Leu ◽  
Natasha A. Schvey ◽  
...  
2020 ◽  
Vol 15 (8) ◽  
Author(s):  
Lisa M. Shank ◽  
M. Katy Higgins Neyland ◽  
Jason M. Lavender ◽  
Rachel Schindler ◽  
Senait Solomon ◽  
...  

2021 ◽  
Author(s):  
Alexander J. Rice ◽  
Natasha A. Schvey ◽  
Lisa M. Shank ◽  
M.K. Higgins Neyland ◽  
Jason M. Lavender ◽  
...  

2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Jennifer S. Coelho ◽  
Tiffany Lee ◽  
Priscilla Karnabi ◽  
Alex Burns ◽  
Sheila Marshall ◽  
...  

2020 ◽  
Author(s):  
Zeynep Yilmaz ◽  
Katherine Schaumberg ◽  
Matt Halvorsen ◽  
Erica L. Goodman ◽  
Leigh C. Brosof ◽  
...  

Clinical, epidemiological, and genetic findings support an overlap between eating disorders, obsessive-compulsive disorder (OCD), and anxiety symptoms. However, little research has examined the role of genetic factors in the expression of eating disorders and OCD/anxiety phenotypes. We examined whether the anorexia nervosa (AN), OCD, or AN/OCD transdiagnostic polygenic scores (PGS) predict eating disorders, OCD, and anxiety symptoms in a large population-based developmental cohort. Using summary statistics files from the Psychiatric Genomics Consortium Freeze 2 AN and Freeze 1 OCD GWAS, we first conducted an AN/OCD transdiagnostic GWAS meta-analysis and then calculated PGS for AN, OCD, and AN/OCD in participants from the Avon Longitudinal Study of Parents and Children with available genetic and phenotype data on eating disorder, OCD, and anxiety diagnoses and symptoms (sample size 3,212-5,369 per phenotype). We observed sex differences in the PGS prediction of eating disorder, OCD, and anxiety-related phenotypes, with AN genetic risk manifesting at an earlier age and playing a more prominent role in eating disorder phenotypes in boys than in girls. Compulsive exercise was the only phenotype predicted by all three PGS (e.g., PAN(boys)=0.0141 at age 14; POCD(girls)=0.0070 at age 16; PAN/OCD(all)=0.0297 at age 14). Our results suggest that earlier detection of eating disorder, OCD, and anxiety-related symptoms could be made possible by including measurement of genetic risk for these psychiatric conditions while being mindful of sex differences.


Author(s):  
Kristen M. Culbert ◽  
Sarah E. Racine ◽  
Kelly L. Klump

1997 ◽  
Vol 124 (4) ◽  
pp. 381-390 ◽  
Author(s):  
F. Richard Ferraro ◽  
Stephen Wonderlich ◽  
Krista Johnson

2016 ◽  
Vol 25 (4) ◽  
pp. 395-398 ◽  
Author(s):  
Alyssa J. Wagner ◽  
Casey D. Erickson ◽  
Dayna K. Tierney ◽  
Megan N. Houston ◽  
Cailee E. Welch Bacon

Clinical Scenario:Eating disorders in female athletes are a commonly underdiagnosed condition. Better screening tools for eating disorders in athletic females could help increase diagnosis and help athletes get the treatment they need.Focused Clinical Question:Should screening tools be used to detect eating disorders in female athletes?Summary of Key Findings:The literature was searched for studies that included information regarding the sensitivity and specificity of screening tools for eating disorders in female athletes. The search returned 5 possible articles related to the clinical question; 3 studies met the inclusion criteria (2 cross-sectional studies, 1 cohort study) and were included. All 3 studies reported sensitivity and specificity for the Athletic Milieu Direct Questionnaire version 2, the Brief Eating Disorder in Athletes Questionnaire version 2, and the Physiologic Screening Test to Detect Eating Disorders Among Female Athletes. All 3 studies found that the respective screening tool was able to accurately identify female athletes with eating disorders; however, the screening tools varied in sensitivity and specificity values.Clinical Bottom Line:There is strong evidence to support the use of screening tools to detect eating disorders in female athletes. Screening tools with higher sensitivity and specificity have demonstrated a successful outcome of determining athletes with eating disorders or at risk for developing an eating disorder.Strength of Recommendation:There is grade A evidence available to demonstrate that screening tools accurately detect female athletes at risk for eating disorders.


2017 ◽  
Vol 12 (6) ◽  
pp. 965-975 ◽  
Author(s):  
Jillian E. Hardee ◽  
Lora M. Cope ◽  
Emily C. Munier ◽  
Robert C. Welsh ◽  
Robert A. Zucker ◽  
...  

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