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Binge eating is associated with trait anxiety in Korean adolescent girls: a cross sectional study

Overview of attention for article published in BMC Women's Health, January 2017
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Title
Binge eating is associated with trait anxiety in Korean adolescent girls: a cross sectional study
Published in
BMC Women's Health, January 2017
DOI 10.1186/s12905-017-0364-4
Pubmed ID
Authors

Jin-Yi Jung, Kye-Hyun Kim, Hee-Yeon Woo, Dong-Won Shin, Young-Chul Shin, Kang-Seob Oh, Eun-Hee Shin, Se-Won Lim

Abstract

Binge eating occurs more frequently in women than in men, and is known to be related to psychological factors such as stress, depression, and anxiety. This study examined the relationship between binge eating and depression, trait anxiety, and perceived stress in Korean adolescents. Four hundred girls (aged 17-18 years) from two high schools located in Seoul completed self-report questionnaires. In total, 327 participants returned reliable responses, and were included in the final study. Binge eating was measured using the Bulimic Inventory Test Edinburgh. The questionnaire also included the Perceived Stress Scale (PSS), Trait Anxiety (TA) of State-Trait Anxiety Inventory, Anxiety Sensitivity Inventory (ASI), and Beck Depression Inventory (BDI). The binge-eating group had higher BMI than the control group. The binge-eating group showed higher scores than control on the PSS, BDI, ASI, and TA. The TA was most highly correlated with binge eating. From logistic regression analysis, TA was revealed to be the only factor that raised the risk of binge eating, whereas PSS, BDI, and ASI showed no statistical significance. Although binge eating was correlated with perceived stress, depression, and trait anxiety, when their influences were controlled, only binge eating appeared to be associated with trait anxiety.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 19%
Student > Ph. D. Student 7 8%
Student > Postgraduate 7 8%
Student > Doctoral Student 6 7%
Researcher 5 6%
Other 14 17%
Unknown 29 35%
Readers by discipline Count As %
Psychology 14 17%
Nursing and Health Professions 12 14%
Medicine and Dentistry 12 14%
Neuroscience 5 6%
Social Sciences 4 5%
Other 4 5%
Unknown 33 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 January 2017.
All research outputs
#20,397,576
of 22,947,506 outputs
Outputs from BMC Women's Health
#1,670
of 1,838 outputs
Outputs of similar age
#353,973
of 418,332 outputs
Outputs of similar age from BMC Women's Health
#9
of 10 outputs
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