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使用成人饮食行为问卷评估中国年轻成年人的食欲特征:因素结构、性别不变性和潜在均值差异以及与体重指数的关联

Assessing Appetitive Traits Among Chinese Young Adults Using the Adult Eating Behavior Questionnaire: Factor Structure, Gender Invariance and Latent Mean Differences, and Associations With BMI.

作者信息

He Jinbo, Sun Shengyan, Zickgraf Hana F, Ellis Jordan M, Fan Xitao

机构信息

Chinese University of Hong Kong, Shenzhen, China.

Huzhou University, Huzhou, Zhejiang Province, China.

出版信息

Assessment. 2021 Apr;28(3):877-889. doi: 10.1177/1073191119864642. Epub 2019 Jul 21.

Abstract

The current study examined the factor structure, measurement reliability, measurement invariance across genders, and latent gender mean differences, of a new Chinese translation of the Adult Eating Behavior Questionnaire (C-AEBQ) in a Chinese young adult sample ( = 1,068, 52.57% women). The associations between the appetitive traits assessed by the AEBQ and body mass index were also explored. The previously established eight-factor model of the AEBQ was supported in the present sample. The C-AEBQ had strong measurement invariance between genders. Cronbach's alpha estimates of the eight subscales of the C-AEBQ ranged from 0.76 to 0.97, and the test-retest reliability coefficients of the subscales ranged from 0.50 to 0.77. The C-AEBQ had adequate convergent and divergent validity, as supported by the theoretically expected correlations between C-AEBQ and the Three-Factor Eating Questionnaire. Furthermore, Satiety Responsiveness, Slowness in Eating, and Food Fussiness were inversely associated with body mass index. Overall, the C-AEBQ appears to be a psychometrically sound instrument as a comprehensive measure for appetitive traits for Chinese young adults.

摘要

本研究在一个中国青年样本(n = 1068,52.57%为女性)中,检验了成人饮食行为问卷(C-AEBQ)新中文译本的因子结构、测量信度、性别间测量不变性以及潜在性别均值差异。同时还探究了AEBQ评估的食欲特质与体重指数之间的关联。本样本支持先前建立的AEBQ八因子模型。C-AEBQ在性别间具有很强的测量不变性。C-AEBQ八个分量表的克朗巴哈α系数在0.76至0.97之间,分量表的重测信度系数在0.50至0.77之间。正如C-AEBQ与三因子饮食问卷之间理论上预期的相关性所支持的那样,C-AEBQ具有足够的收敛效度和区分效度。此外,饱腹感反应性、进食速度慢和食物挑剔与体重指数呈负相关。总体而言,C-AEBQ作为一种用于测量中国青年食欲特质的综合工具,在心理测量学上似乎是一种可靠的工具。

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