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The significant effects of puberty on the genetic diathesis of binge eating in girls
Author(s) -
Klump Kelly L.,
Culbert Kristen M.,
O'Connor Shan,
Fowler Natasha,
Burt S. Alexandra
Publication year - 2017
Publication title -
international journal of eating disorders
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.785
H-Index - 138
eISSN - 1098-108X
pISSN - 0276-3478
DOI - 10.1002/eat.22727
Subject(s) - binge eating , psychology , binge eating disorder , twin study , disordered eating , moderation , prepuberty , body mass index , developmental psychology , eating disorders , young adult , clinical psychology , hormone , bulimia nervosa , medicine , heritability , biology , genetics , social psychology
Abstract Objective Recent data show significant phenotypic and genetic associations between ovarian hormones and binge eating in adulthood. Theories of hormonal risk focus on puberty and the possibility that hormone activation induces changes in genetic effects that then lead to differential risk for binge eating in postpuberty and adulthood. Although this theory is difficult to test in humans, an indirect test is to examine whether genetic influences on binge eating increase during the pubertal period in girls. Prior work has shown pubertal increases in genetic influences on overall disordered eating symptoms, but no study to date has examined binge eating. The present study was the first to examine these increases for binge eating. Methods Participants included 1,568 female twins (aged 8–25 years) from the Michigan State University Twin Registry. Binge eating and pubertal development were assessed with self‐report questionnaires. Results Twin moderation models showed significant linear increases in genetic effects from prepuberty (5%) to postpuberty (42%), even after controlling for the effects of age and body mass index. Discussion Results provide critical support for increased genetic influences on binge eating during puberty. Additional studies are needed to identify hormonal mechanisms and fully test contemporary models of ovarian hormone risk.