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基于项目反应理论的巴西人群中短版饮食失调态度量表(DEAS-s)的验证。

Item Response Theory-based validation of a short form of the Disordered Eating Attitude Scale (DEAS-s) to a Brazilian sample.

机构信息

Universidade de São Paulo, Sâo Paulo, Brasil.

Universidade de Santa Catarina, Florianópolis, Brasil.

出版信息

Cad Saude Publica. 2020 Feb 21;36(2):e00169919. doi: 10.1590/0102-311X00169919. eCollection 2020.

DOI:10.1590/0102-311X00169919
PMID:32130318
Abstract

This study aimed to validate a short version of the Disordered Eating Attitude Scale (DEAS-s). To this end, 2,902 adult individuals answered the original DEAS and informed age, weight, and height. Data were analyzed using the full-information factor analysis and Item Response Theory (IRT) analysis. Exclusion criteria retained items with adequate values of commonality and factor loadings. Estimation of IRT parameters, the Item Characteristic Curve (ICC), and test information guided the selection of the best quality items. The final model adjustment was evaluated using Root Mean Square Error of Approximation (RMSEA), Standardized Root Mean Square Residual (SRMSR), Comparative Fit Index (CFI), and Tucker-Lewis Index (TLI). The eating attitudes on each level of DEAS-s were described. The analyses were performed on R software and Microsoft Excel version 2013. As results, six items were excluded because of the low communalities and factor loadings, and one more was excluded because of an overlapping on the ICC. The remaining 17 items explained 0.53 of the total variance and had an adequate goodness-of-fit (RMSEA = 0.05; SRMSR = 0.05; CFI = 0.98; TLI = 0.98). The information test is more accurate between the scores 0 and +3. Scores higher or equal to 1.5 identified individuals with disordered eating attitudes. Women, older individuals, and those with a higher body mass index presented more disordered eating; thus, the one-dimensional and short version of DEAS showed a suitable adjustment and may contribute to properly evaluate disordered eating in diverse populations.

摘要

本研究旨在验证简化版饮食失调态度量表(DEAS-s)的有效性。为此,2902 名成年人回答了原始的 DEAS 问卷,并报告了年龄、体重和身高。使用全信息因素分析和项目反应理论(IRT)分析对数据进行了分析。排除标准保留了具有足够共性和因子负荷值的项目。IRT 参数估计、项目特征曲线(ICC)和测试信息指导最佳质量项目的选择。使用逼近均方根误差(RMSEA)、标准化均方根残差(SRMSR)、比较拟合指数(CFI)和塔克-刘易斯指数(TLI)评估最终模型调整。描述了 DEAS-s 每个水平的饮食态度。分析在 R 软件和 Microsoft Excel 版本 2013 上进行。结果,由于共性和因子负荷较低,有 6 个项目被排除在外,由于 ICC 重叠,又有一个项目被排除在外。剩下的 17 个项目解释了总方差的 0.53,并且具有良好的拟合度(RMSEA=0.05;SRMSR=0.05;CFI=0.98;TLI=0.98)。信息测试在 0 到+3 分之间更准确。得分高于或等于 1.5 表明存在饮食失调态度。女性、年龄较大的个体和体重指数较高的个体表现出更多的饮食失调,因此,DEAS 的一维简化版具有适当的调整,可能有助于在不同人群中正确评估饮食失调。

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