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Weight curves as predictors of short‐term outcome in anorexia nervosa inpatients
Author(s) -
Mewes Ricarda,
Tagay Sefik,
Senf Wolfgang
Publication year - 2007
Publication title -
european eating disorders review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.511
H-Index - 67
eISSN - 1099-0968
pISSN - 1072-4133
DOI - 10.1002/erv.807
Subject(s) - anorexia nervosa , weight gain , eating disorders , body mass index , stepwise regression , psychology , analysis of variance , anorexia , linear regression , body weight , demography , medicine , psychiatry , statistics , mathematics , sociology
Objective The aim of the present study was to find factors that predict the short‐term outcome of inpatients with anorexia nervosa (AN). Method Female inpatients with AN ( N = 100) were divided into treatment completers ( N = 50) and drop‐outs ( N = 50). Using stepwise linear regression the relationship of demographic data, illness history and patterns of weight gain to BMI gain up to discharge were analysed. Results Among drop‐outs, 69% of the variance in BMI gain up to discharge was explained by length of the first half of treatment (FHT), average weekly BMI gain and average weight loss during FHT. Among completers, 52% of the variance in BMI gain up to discharge was explained by BMI at admission and average weekly BMI gain during the second half of treatment (SHT). Discussion Weight curves offer important information about short‐term outcome for patients with AN. Copyright © 2007 John Wiley & Sons, Ltd and Eating Disorders Association.