Consumer Science & Applied Nutrition Department, Nestlé Research Center, 1000 Lausanne, Switzerland.
Nutrients. 2018 Apr 6;10(4):453. doi: 10.3390/nu10040453.
It is critical to develop ecologically valid experimental methods to assess consumers' food-related behaviors. Ad libitum approaches are often used but may not be appropriate for studies with children or with products that are not typically consumed until the individual feels full. The current study presents novel methods to assess children's size perception and portion preference for gummy candies. In the first study, 62 children (30 boys, 32 girls) aged 6 to 9 years completed two matching tasks: one using pictures on a computer screen, and a similar task where the products were physically manipulated. Results of the two matching tasks were correlated, demonstrating that a computer-based approach could be used to predict the factors influencing children's perception of food amount: the number, size, and shape of pieces. In the second study, a portioning measure was developed to investigate whether the factors identified in the matching tasks were confirmed in a task that more closely represented portion selection in the real world. The effects observed in the matching tasks could not be replicated in the portioning task. The size of each item had no significant impact on the portion selection, suggesting that it may be possible to reduce the size of pieces in snacks where multiple pieces are typically consumed without negatively impacting perceived quantity in children, thus offering a promising strategy to nudge children toward choosing smaller portions.
开发生态有效的实验方法来评估消费者的食物相关行为至关重要。自由选择方法通常被使用,但对于儿童研究或对于那些个体感到饱足之前通常不会食用的产品来说,可能并不合适。本研究提出了评估儿童对 gummy 糖果的大小感知和份量偏好的新方法。在第一项研究中,62 名年龄在 6 至 9 岁的儿童(30 名男孩,32 名女孩)完成了两项匹配任务:一项是在计算机屏幕上使用图片,另一项是对产品进行物理操作的类似任务。两项匹配任务的结果相关,表明基于计算机的方法可以用于预测影响儿童对食物数量感知的因素:块的数量、大小和形状。在第二项研究中,开发了一种分割测量方法,以调查在更接近现实世界中部分选择的任务中,匹配任务中确定的因素是否得到确认。在分割任务中无法复制匹配任务中观察到的效果。每个项目的大小对部分选择没有显著影响,这表明在儿童中,可能可以在通常食用多个部分的零食中减少部分的大小,而不会对感知数量产生负面影响,从而为推动儿童选择较小部分提供了一种有前途的策略。