Understanding the Effects of Weight Suppression by Deconstructing Its Dimensions

2021 ◽  
Author(s):  
Elin Lantz Lesser
Keyword(s):  
Appetite ◽  
2021 ◽  
pp. 105231
Author(s):  
Simar Singh ◽  
Danielle E. Apple ◽  
Fengqing Zhang ◽  
Xin Niu ◽  
Michael R. Lowe

2015 ◽  
Vol 124 (4) ◽  
pp. 994-1002 ◽  
Author(s):  
Lindsay P. Bodell ◽  
Pamela K. Keel

2021 ◽  
Vol 12 ◽  
Author(s):  
Lisa-Katrin Kaufmann ◽  
Hanspeter Moergeli ◽  
Gabriella Franca Milos

Background: The body mass index is a key predictor of treatment outcome in patients with anorexia nervosa. In adolescents, higher premorbid BMI is a strong predictor of a favorable treatment outcome. It is unclear whether this relationship holds true for adults with anorexia nervosa. Here, we examine adult patients with AN and investigate the lowest and highest lifetime BMI and weight suppression as predisposing factors for treatment outcome.Methods: We included 107 patients aged 17–56 with anorexia nervosa and tracked their BMI from admission to inpatient treatment, through discharge, to follow-up at 1–6 years. Illness history, including lowest and highest lifetime BMI were assessed prior to admission. We used multiple linear regression models with minimal or maximal lifetime BMI or weight suppression at admission as independent variables to predict BMI at admission, discharge and follow-up, while controlling for patients' age, sex, and duration of illness.Results: Low minimal BMI had a negative influence on the weight at admission, which in turn resulted in a lower BMI at discharge. Higher maximal BMI had a substantial positive influence on BMI at discharge and follow-up. Weight suppression was highly correlated with maximal BMI and showed similar effects to maximal BMI.Conclusion: Our findings strongly support a relationship between low minimal lifetime BMI and lower BMI at admission, and between higher maximal lifetime BMI or weight suppression and a positive treatment outcome, even years after discharge. Overall, maximal BMI emerged as the most important factor in predicting the weight course in adults with AN.


Author(s):  
C. Blair Burnette ◽  
Alexandria E. Davies ◽  
Rachel L. Boutté ◽  
Suzanne E. Mazzeo
Keyword(s):  

2016 ◽  
Vol 108 ◽  
pp. 145
Author(s):  
Mooah Lee ◽  
Ji-Won Hur ◽  
Hyung-Jin Choi ◽  
Jang-Han Lee

2015 ◽  
Vol 48 (7) ◽  
pp. 912-918 ◽  
Author(s):  
Frances A. Carter ◽  
Joseph M. Boden ◽  
Jennifer Jordan ◽  
Virginia V.W. McIntosh ◽  
Cynthia M. Bulik ◽  
...  

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