The course of binge eating from adolescence to young adulthood. 2014

Andrea B Goldschmidt, and Melanie M Wall, and Katie A Loth, and Michaela M Bucchianeri, and Dianne Neumark-Sztainer
Department of Psychiatry and Behavioral Neuroscience, The University of Chicago.

OBJECTIVE The course of binge eating in adolescence is variable, and little is known about factors maintaining binge eating behaviors. The current study sought to characterize the course of binge eating and identify psychosocial factors associated with its maintenance. METHODS A population-based sample reported on binge eating, depression symptoms, self-esteem, and body satisfaction at 5-year intervals spanning early/middle adolescence (Time 1 [T1]), late adolescence/early young adulthood (Time 2 [T2]), and early/middle young adulthood (Time 3 [T3]). Logistic regression examined factors predicting maintenance or cessation of binge eating. RESULTS A total of 15.8% of participants with binge eating at T1 continued to report binge eating at T2, and 42.0% of participants with binge eating at T2 continued to report binge eating at T3. From T1 to T2, improvements in self-esteem predicted cessation of binge eating. From T2 to T3, cessation of binge eating was predicted by improved body satisfaction, greater decreases in depression symptoms, and greater improvements in self-esteem. CONCLUSIONS Binge eating is relatively stable from late adolescence/early young adulthood to early/middle young adulthood, but less so from middle/late adolescence to late adolescence/early young adulthood. Improvements in psychosocial functioning during this timeframe may improve the outcome of binge eating, although mechanisms responsible for psychosocial changes (e.g., treatment involvement) require further investigation. Self-esteem appears to be a particularly salient factor involved in binge eating cessation and should be targeted in prevention and treatment programs.

UI MeSH Term Description Entries
D008297 Male Males
D001828 Body Image Individuals' concept of their own bodies. Body Identity,Body Representation,Body Schema,Body Images,Body Representations,Body Schemas,Identity, Body,Image, Body,Representation, Body,Schema, Body
D002032 Bulimia Eating an excess amount of food in a short period of time, as seen in the disorder of BULIMIA NERVOSA. It is caused by an abnormal craving for food, or insatiable hunger also known as "ox hunger". Binge Eating,Bulimias,Eating, Binge
D003863 Depression Depressive states usually of moderate intensity in contrast with MAJOR DEPRESSIVE DISORDER present in neurotic and psychotic disorders. Depressive Symptoms,Emotional Depression,Depression, Emotional,Depressive Symptom,Symptom, Depressive
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D012649 Self Concept Persons' view of themselves. Self Esteem,Self Perception,Self Confidence,Self-Perception,Concept, Self,Confidence, Self,Esteem, Self,Perception, Self,Perceptions, Self,Self Esteems,Self Perceptions,Self-Perceptions
D016015 Logistic Models Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor. Logistic Regression,Logit Models,Models, Logistic,Logistic Model,Logistic Regressions,Logit Model,Model, Logistic,Model, Logit,Models, Logit,Regression, Logistic,Regressions, Logistic

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