Gómez-Peresmitré Gilda, Platas-Acevedo Romana Silvia, Pineda-García Gisela
Faculty of Psychology, National Autonomous University of Mexico, Av. Universidad 3004 Col Copilco-Universidad, Alcaldía, Coyoacán, Mexico City 04510, Mexico.
Faculty of Medicine and Psychology, Autonomous University of Baja California, Cal, Universidad 14418, International Industrial Park, Tijuana 22390, Mexico.
Int J Environ Res Public Health. 2021 Apr 13;18(8):4103. doi: 10.3390/ijerph18084103.
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 = 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 = 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.
（1）其心理测量特性、预测风险饮食行为的显著概率以及对风险或非风险组归属的正确分类；（2）通过一组陈述来测量用户风险自我意识的能力，并通过对用户提供内容的频率分析来探索预期反应。非概率样本由541名年龄在15至25岁之间的女性组成（M = 18.3；SD = 2.4）。该工具显示出良好的心理测量特性、三个预测风险因素的结构以及适当的效应大小（R = 0.67 - 0.69）。最关键的发现包括较高的正确分类百分比（94 - 97%）和预期反应百分比（61%）。逻辑回归分析表明，如果参与者吸烟、饮酒、在15岁之前有性经历，且这些性经历是非自愿的，那么出现饮食失调的风险更高。文中展示了在线数据收集方法的有前景的结果及其潜在益处的证据。
