Mallan Kimberley M, Fildes Alison, de la Piedad Garcia Xochitl, Drzezdzon Jayne, Sampson Matthew, Llewellyn Clare
School of Psychology, Australian Catholic University, 1100 Nudgee Road, Banyo, QLD, 4014, Australia.
School of Exercise and Nutrition Sciences, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, QLD, 4059, Australia.
Int J Behav Nutr Phys Act. 2017 Sep 22;14(1):130. doi: 10.1186/s12966-017-0587-7.
The aims of this study were to evaluate the factor structure of the newly developed Adult Eating Behaviour Questionnaire (AEBQ) (Hunot et al., Appetite 105:356-63, 2016) in an Australian sample, and examine associations between the four food approach and four food avoidance appetitive traits with body mass index (BMI).
Participants (N = 998) recruited between May and October 2016 via a university research participation scheme and online social network sites completed an online version of the AEBQ and self-reported demographic and anthropometric data. Of the sample, 84.8% were females, 29.6% had completed a university degree and the overall mean age was 24.32 years (SD = 8.32). Confirmatory factor analysis (CFA) was used to test three alternative factor structures (derived from issues raised in the original development study): the original 8 factor model, a 7 factor model with Food Responsiveness and Hunger scales combined, and a 7 factor model with the Hunger scale removed.
The CFA revealed that the original 8 factor model was a better fit to the data than the 7 factor model in which Food Responsiveness and Hunger scales were combined. However, while reliability estimates for 7 of the 8 scales were good (Cronbach's α between 0.70-0.86), the reliability of the Hunger scale was modest (0.67) and dropping this factor resulted in a good fitting model. All food avoidance scales (except Food Fussiness) were negatively associated with body mass index (BMI) whereas Emotional Overeating was the only food approach scale positively associated with BMI.
The study supports the use of the AEBQ as a reliable and valid measure of food approach and avoidance appetitive traits in adults. Longitudinal studies that examine continuity and stability of appetitive traits across the lifespan will be facilitated by the addition of this measurement tool to the literature.
本研究旨在评估新开发的成人饮食行为问卷(AEBQ)(胡诺特等人,《食欲》105:356 - 63,2016)在澳大利亚样本中的因子结构,并检验四种食物摄取方式和四种食物回避性食欲特征与体重指数(BMI)之间的关联。
2016年5月至10月间,通过大学研究参与计划和在线社交网站招募了参与者(N = 998),他们完成了AEBQ的在线版本以及自我报告的人口统计学和人体测量数据。样本中,84.8%为女性,29.6%拥有大学学位,总体平均年龄为24.32岁(标准差 = 8.32)。验证性因子分析(CFA)用于检验三种替代因子结构(源自原始开发研究中提出的问题):原始的8因子模型、将食物反应性和饥饿量表合并的7因子模型以及去除饥饿量表的7因子模型。
CFA显示,原始的8因子模型比食物反应性和饥饿量表合并的7因子模型更适合数据。然而,虽然8个量表中的7个的信度估计良好(克朗巴哈α系数在0.70 - 0.86之间),但饥饿量表的信度一般(0.67),去掉这个因子后得到了一个拟合良好的模型。所有食物回避量表(除挑食外)均与体重指数(BMI)呈负相关,而情绪性暴饮暴食是唯一与BMI呈正相关的食物摄取方式量表。
该研究支持将AEBQ用作测量成人食物摄取和回避性食欲特征的可靠且有效的工具。将此测量工具纳入文献将有助于开展纵向研究,以检验食欲特征在整个生命周期中的连续性和稳定性。