Document Type
Article
Publication Date
2020
College/Unit
School of Public Health
Department/Program/Center
Social and Behavioral Sciences
Abstract
Background
The primary objective was to understand life satisfaction (LS) of patients with eating disorders (EDs) in relation to eating pathology severity, personal/familial ED history, and key demographic and anthropometric variables.
Methods
Participants (N = 60) completed the Satisfaction with Life Scale (SWLS), the Eating Pathology Severity Index (EPSI), and demographic questionnaires. Bivariate associations via correlations and multiple linear regression models were used to explore these relationships.
Results
The SWLS mean score was 3.7 out of 7, suggesting it is below the population-based norm. LS was positively statistically significantly associated with private insurance, past ED, EPSI muscle building, EPSI restricted eating, and EPSI negative attitudes. When included in multiple linear regression, the model explained 33% of the variability of LS [F (7, 56) = 3.4, p = 0.0054, R2 = 0.33]. EPSI muscle building remained the strongest predictor (β = 0.13, p = 0.04).
Conclusions
Based on the data, individuals who have/have had EDs scored lower on the SWLS than the general population. Individuals scoring within this range typically experience significant issues in several areas of life or a substantial issue in one area.
Digital Commons Citation
Claydon, Elizabeth A.; DeFazio, Caterina; Lilly, Christa L.; and Zullig, Keith J., "Life satisfaction among a clinical eating disorder population" (2020). Faculty & Staff Scholarship. 2949.
https://researchrepository.wvu.edu/faculty_publications/2949
Source Citation
Claydon, E.A., DeFazio, C., Lilly, C.L. et al. Life satisfaction among a clinical eating disorder population. J Eat Disord 8, 53 (2020). https://doi.org/10.1186/s40337-020-00326-z
Comments
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
This article received support from the WVU Libraries' Open Access Author Fund.