Lock Chelsea, Brindal Emily, Hendrie Gilly A, Cox David N
Nutrition and Dietetics Department, Flinders University of South Australia, Bedford Park, SA 5042, Australia.
CSIRO Food & Nutrition, Adelaide 5000, SA, Australia.
Eat Behav. 2016 Apr;21:155-60. doi: 10.1016/j.eatbeh.2016.03.012. Epub 2016 Mar 3.
This study sought to determine the simultaneous effect of immediate eating environment variables; portion size, plate size, proximity to food, variety of food, side serves of salad/vegetables and presence of distraction on dietary energy intake (EI), of a reported evening meal, in the participants' real world setting.
A retrospective computer assisted telephone interview collected data on ten immediate eating environment variables, covariates and a 24-hour dietary recall of EI at an evening meal. Multiple regression analysis was conducted to determine relationships of these variables with EI. Significant (P<0.05) standardised beta coefficients (β) are reported.
Australia wide, participants' homes.
Australian adult males and females (n 150) aged 18-65years.
Of the immediate eating environment variables, the absence of salads/vegetables (β=0.237), increased food variety (β=0.208), presence of music (β=0.207), and the consumption of pre-plated (as opposed to self-served) meals (β=0.195) had a positive association with EI, explaining 16.3% of the variance. Of the covariates, being male was the strongest predictor of EI (β=0.242); and hunger score also had a positive relationship with EI (β=0.190), explaining 17.5% of the variance.
This study provides evidence that some immediate food environment variables at an evening eating occasion are associated with EI. Findings suggest there are several strategies that people could implement to assist in controlling their EI and help address over consumption.
本研究旨在确定即时饮食环境变量(份量大小、餐盘大小、与食物的距离、食物种类、沙拉/蔬菜配菜以及干扰因素的存在)对参与者在现实生活中一顿晚餐的膳食能量摄入(EI)的同时影响。
一项回顾性计算机辅助电话访谈收集了关于十个即时饮食环境变量、协变量以及晚餐EI的24小时膳食回忆的数据。进行多元回归分析以确定这些变量与EI之间的关系。报告了显著(P<0.05)的标准化β系数(β)。
澳大利亚全国范围内参与者的家中。
年龄在18 - 65岁之间的澳大利亚成年男性和女性(n = 150)。
在即时饮食环境变量中,没有沙拉/蔬菜(β = 0.237)、食物种类增加(β = 0.208)、有音乐(β = 0.207)以及食用预先装盘(而非自助)的餐食(β = 0.195)与EI呈正相关,解释了16.3%的方差。在协变量中,男性是EI的最强预测因素(β = 0.242);饥饿评分也与EI呈正相关(β = 0.190),解释了17.5%的方差。
本研究提供了证据表明晚餐时的一些即时食物环境变量与EI相关。研究结果表明人们可以实施几种策略来帮助控制他们的EI并有助于解决过度消费问题。