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  • 标题:Assessing Orthorexia Nervosa: Validation of the Polish Version of the Eating Habits Questionnaire in a General Population Sample
  • 本地全文:下载
  • 作者:Anna Brytek-Matera ; Natalija Plasonja ; Greg Décamps
  • 期刊名称:Nutrients
  • 电子版ISSN:2072-6643
  • 出版年度:2020
  • 卷号:12
  • 期号:12
  • 页码:3820-3834
  • DOI:10.3390/nu12123820
  • 出版社:MDPI Publishing
  • 摘要:Extreme focus on healthy eating, called orthorexia nervosa (ON), was assessed using a 21-item Eating Habits Questionnaire (EHQ). The present study aimed to validate the Polish version of the EHQ in a general population sample. Nine hundred sixty-seven women (59%) and men participated in the present study. Data was obtained from an internet-administered survey. Exploratory factor analysis with the first split sample (n = 502) produced a three-factor solution accounting for 47% of the variance. In confirmatory factor analysis with the second split sample (n = 465), the three-factor structure showed satisfactory goodness-of-fit (comparative fit index (CFI) = 0.99, root mean square error of approximation (RMSEA) = 0.008). Reliability analysis for the Polish version of the EHQ across the whole questionnaire showed strong internal consistency (α = 0.88, intraclass correlation coefficient (ICC) = 0.86). The internal consistency, measured by Cronbach’s alpha coefficients, for the EHQ subscales were 0.85 (knowledge), 0.81 (problems), and 0.81 (feelings and behaviors). Total EHQ score was positively correlated with its three subscales, cognitive restraint, uncontrolled eating, and emotional eating, and was negatively correlated with body mass index (BMI). The Polish version of the EHQ is a reliable questionnaire that can be used with confidence to better assess ON in a general population sample.
  • 关键词:orthorexia nervosa; eating behaviors; body dissatisfaction; general population sample; exploratory factor analysis; confirmatory factor analysis; multigroup confirmatory factor analysis orthorexia nervosa ; eating behaviors ; body dissatisfaction ; general population sample ; exploratory factor analysis ; confirmatory factor analysis ; multigroup confirmatory factor analysis
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