Online Test of Risk Self-Detection of Eating Disorders
Gilda Gómez-Peresmitré,
Romana Silvia Platas-Acevedo and
Gisela Pineda-García
Additional contact information
Gilda Gómez-Peresmitré: Faculty of Psychology, National Autonomous University of Mexico, Av. Universidad 3004 Col Copilco-Universidad, Alcaldía, Coyoacán, Mexico City 04510, Mexico
Romana Silvia Platas-Acevedo: Faculty of Psychology, National Autonomous University of Mexico, Av. Universidad 3004 Col Copilco-Universidad, Alcaldía, Coyoacán, Mexico City 04510, Mexico
Gisela Pineda-García: Faculty of Medicine and Psychology, Autonomous University of Baja California, Cal, Universidad 14418, International Industrial Park, Tijuana 22390, Mexico
IJERPH, 2021, vol. 18, issue 8, 1-14
Abstract:
This study’s central aim was to examine the effectiveness of an online test of the Risk Self-Detection of Eating Disorders through the evaluation of (1) its psychometric properties, the significant probability of predicting risk eating behavior and the correct classification of membership to the risk or non-risk group and (2) the ability to measure users’ risk self-awareness through a group of statements and explore the expected responses through frequency analysis of the content provided by the users. The non-probability sample was comprised of n = 541 women aged 15 to 25 (M = 18.3; SD = 2.4). The instrument showed good psychometric properties, a structure of three predictive risk factors, and proper effect sizes (R 2 = 0.67–0.69). Among the most critical findings were high percentages of correct classification (94–97%) and expected responses (61%). The logistic regression analysis showed that the risk of presenting eating disorders was higher if the participants smoked, consumed alcohol, had sexual experiences before the age of 15, and if those sexual experiences were non-consensual. Evidence is presented about the promising results of the online data collection method and its potential benefits.
Keywords: online psychological assessment; risk self-detection; eating disorders; risk predictors; prevention (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1660-4601/18/8/4103/pdf (application/pdf)
https://www.mdpi.com/1660-4601/18/8/4103/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:18:y:2021:i:8:p:4103-:d:535327
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().