Literature DB >> 29886051

Disordered eating in college sorority women: A social network analysis of a subset of members from a single sorority chapter.

Kendra R Becker1, Monika M Stojek2, Allan Clifton3, Joshua D Miller4.   

Abstract

OBJECTIVE: Disordered eating attitudes and behaviors are prevalent among college women, and peers appear to influence current and future eating pathology. Social network analysis (SNA) is an innovative quantitative method to examine relationships (i.e., ties) among people based on their various attributes. In this study, the social network of one sorority was modeled using exponential random graph model (ERGM) to explore if homophily, or the tendency for relationship ties to exist based on shared attributes, was present according to sorority members' disordered eating behaviors/attitudes and their body mass index (BMI).
METHOD: Participants included members of one sorority at a large Southeastern university. All members were included on a roster unless they elected to opt out during the consent process, and 41 (19%) of the members completed the study measures. Participants completed the Social Network Questionnaire developed for this study (degree of "liking" of every member on the roster), the Eating Disorder Examination-Questionnaire (EDE-Q), and a demographics questionnaire in exchange for one hour of community service credit.
RESULTS: The final sample consisted of mostly White women with an average age of 20. Homophily across liking ties was examined based on the EDE-Q Global scale, episodes of binge eating, and BMI. The greater the difference in EDE-Q Global scores, the more likely the participants were to like one another. The greater the difference in BMI, the less likely the participants were to like one another. Binge eating was unrelated to homophily. DISCUSSION: College sorority women appear to prefer other women with dissimilar levels of disordered eating attitudes, suggesting complex interactions between stigmatized or valued disordered eating attributes. Women with similar BMI were more likely to like one another, confirming past findings.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Binge eating; College women; Disordered eating; Social network analysis

Mesh:

Year:  2018        PMID: 29886051     DOI: 10.1016/j.appet.2018.06.013

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  4 in total

1.  Examining similarities in eating pathology, negative affect, and perfectionism among peers: A social network analysis.

Authors:  K Jean Forney; Teresa Schwendler; Rose Marie Ward
Journal:  Appetite       Date:  2019-03-11       Impact factor: 3.868

2.  A survey on exponential random graph models: an application perspective.

Authors:  Saeid Ghafouri; Seyed Hossein Khasteh
Journal:  PeerJ Comput Sci       Date:  2020-04-06

3.  Depressive symptoms homophily among community-dwelling older adults in japan: A social networks analysis.

Authors:  Ayako Morita; Yoshimitsu Takahashi; Kunihiko Takahashi; Takeo Fujiwara
Journal:  Front Public Health       Date:  2022-09-20

4.  Do emerging adults know what their friends are doing and does it really matter? Methodologic challenges and associations of perceived and actual friend behaviors with emerging adults' disordered eating and muscle building behaviors.

Authors:  Marla E Eisenberg; Melanie M Wall; Nicole Larson; Katherine R Arlinghaus; Dianne Neumark-Sztainer
Journal:  Soc Sci Med       Date:  2021-07-11       Impact factor: 5.379

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.