Diktas Hanim E, Cardel Michelle I, Foster Gary D, LeBlanc Monique M, Dickinson Stephanie L, Ables Erin M, Chen Xiwei, Nathan Rebecca, Shapiro Danielle, Martin Corby K
Pennington Biomedical Research Center, Louisiana University System, Baton Rouge, Louisiana, USA.
WW International, Inc., New York, New York, USA.
Obesity (Silver Spring). 2025 Feb;33(2):289-297. doi: 10.1002/oby.24216. Epub 2025 Jan 19.
Food noise has received attention in the media, although no validated questionnaires exist to measure it. This study developed and tested the reliability and validity of the Food Noise Questionnaire (FNQ).
Participants (N = 400) successfully completed, the FNQ and a demographic questionnaire and self-reported weight and height. A subsample (n = 150) completed the FNQ 7 days later for test-retest reliability, and this subsample's first FNQ data were subjected to exploratory factor analysis. The remaining subsample (n = 250) completed two preoccupation with food questionnaires to test convergent validity, along with mood, anxiety, and stress questionnaires to test for discriminant validity. Confirmatory factor analysis was conducted using this subsample's FNQ data.
Data from 396 participants were analyzed (4 participants did not complete all FNQ items). The FNQ had excellent internal consistency reliability (Cronbach α = 0.93) and high test-retest reliability (r = 0.79; p < 0.001; mean [SD] = 7.4 [1.0] days between administration). Factor analyses found that the five FNQ items loaded onto a single factor, with good fit indices (χ[5] = 52.87, p < 0.001; root mean square error of approximation [RMSEA] = 0.20; comparative fit index [CFI] = 0.95; standardized root mean squared residual [SRMR] = 0.03). The FNQ showed good convergent (all r > 0.78; p < 0.001) and discriminant (all r < 0.39; p < 0.001) validity.
The FNQ provides a psychometrically reliable and valid measure of food noise, although further research is needed to evaluate its clinical utility.
食物噪音已受到媒体关注,尽管尚无经过验证的问卷来测量它。本研究开发并测试了食物噪音问卷(FNQ)的信度和效度。
参与者(N = 400)成功完成了FNQ、一份人口统计学问卷,并自我报告了体重和身高。一个子样本(n = 150)在7天后再次完成FNQ以进行重测信度检验,该子样本的首次FNQ数据进行探索性因子分析。其余子样本(n = 250)完成两份食物关注问卷以测试收敛效度,同时完成情绪、焦虑和压力问卷以测试区分效度。使用该子样本的FNQ数据进行验证性因子分析。
分析了396名参与者的数据(4名参与者未完成所有FNQ项目)。FNQ具有出色的内部一致性信度(Cronbach α = 0.93)和较高的重测信度(r = 0.79;p < 0.001;两次施测之间的平均[标准差]= 7.4 [1.0]天)。因子分析发现,FNQ的五个项目加载到一个单一因子上,拟合指数良好(χ[5]= 52.87,p < 0.001;近似均方根误差[RMSEA]= 0.20;比较拟合指数[CFI]= 0.95;标准化均方根残差[SRMR]= 0.03)。FNQ显示出良好的收敛效度(所有r > 0.78;p < 0.001)和区分效度(所有r < 0.39;p < 0.001)。
FNQ提供了一种在心理测量学上可靠且有效的食物噪音测量方法,尽管需要进一步研究以评估其临床效用。