Predictors of nutrition label viewing during food purchase decision making: an eye tracking investigation.
Predictors of nutrition label viewing during food purchase decision making: an eye tracking investigation.
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DOI：
10.1017/s1368980011001303
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发表时间：
2012-02
影响因子：
3.2
通讯作者：
Jeffery, Robert W.
中科院分区：
文献类型：
--
作者：
Graham, Dan J.;Jeffery, Robert W.
营养标签的使用可以帮助消费者健康饮食。尽管消费者报告了标签的使用情况，但饮食并不十分健康，肥胖率持续上升。本研究通过监测个人观看标签的目光，调查自我报告的标签使用是否与客观测量的标签观看相匹配。本研究监测成年人在做出模拟食品购买决定时，在配备眼动追踪摄像头的计算机上查看 64 种食品。使用方差分析和 t 检验来比较不同亚组（例如正常体重 υ. 超重 υ. 肥胖；已婚 υ. 未婚）以及各种类型食品（例如零食 υ. 水果和蔬菜）的标签查看情况。参与者于2010年春季来到明尼苏达大学流行病学临床研究中心。这203名参与者年龄≥18岁，能够在76厘米（30英寸）外的电脑上阅读英语单词。与水果和蔬菜、饼干和坚果等零食以及冰淇淋和饼干等甜点相比，参与者会更长时间地查看披萨、汤和酸奶等“餐食”食品的标签。与决定不购买的食品相比，参与者花更长的时间查看他们决定购买的食品的标签。在性别、种族、年龄、体重指数、婚姻状况、收入或教育程度方面，营养标签的组间差异很小。查看营养标签与购买食品有关，当食品的健康性不明确时，人们会更多地查看营养标签。客观测量营养标签的查看情况为不同社会人口群体的标签使用情况提供了新的见解。
Nutrition label use could help consumers eat healthfully. Despite consumers reporting label use, diets are not very healthful and obesity rates continue to rise. The present study investigated whether self-reported label use matches objectively measured label viewing by monitoring the gaze of individuals viewing labels. The present study monitored adults viewing sixty-four food items on a computer equipped with an eye-tracking camera as they made simulated food purchasing decisions. ANOVA and t tests were used to compare label viewing across various subgroups (e.g. normal weight υ. overweight υ. obese; married υ. unmarried) and also across various types of foods (e.g. snacks υ. fruits and vegetables). Participants came to the University of Minnesota’s Epidemiology Clinical Research Center in spring 2010. The 203 participants were ≥18 years old and capable of reading English words on a computer 76 cm (30 in) away. Participants looked longer at labels for ‘meal’ items like pizza, soup and yoghurt compared with fruits and vegetables, snack items like crackers and nuts, and dessert items like ice cream and cookies. Participants spent longer looking at labels for foods they decided to purchase compared with foods they decided not to purchase. There were few between-group differences in nutrition label viewing across sex, race, age, BMI, marital status, income or educational attainment. Nutrition label viewing is related to food purchasing, and labels are viewed more when a food’s healthfulness is ambiguous. Objectively measuring nutrition label viewing provides new insight into label use by various sociodemographic groups.