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Who Reads Food Labels? Selected Predictors of Consumer Interest in Front-of-Package and Back-of-Package Labels during and after the Purchase

机译:谁读了食物标签?在购买期间和之后所选消费者兴趣的消费者兴趣的预测因子

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摘要

The paper aims to identify selected predictors of food label use to extend our knowledge about consumer behavior related to food purchases. Two types of information were examined: front-of-package (FOP) and back-of-package (BOP), and two contexts of reading labels were distinguished: during shopping and at home. Various types of potential predictors were tested, including demographic (e.g., age, gender, household size, place of living), socioeconomic (e.g., education, professional activity, income), behavioral (e.g., purchasing certain types of products), and psychographic (e.g., importance attached to various types of information) criteria. The survey was conducted with the use of the CAWI (Computer-Assisted Web Interviews) methodology in a sample of 1051 Polish consumers. Quota sampling was applied based on sex, age, education, place of living (urban vs. rural), and region. Descriptive statistics, t-tests, ANOVAs, Pearson correlation coefficients, and multiple and retrograde step regressions were applied. In retrograde step regression models, only one predictor (self-rated knowledge about nutrition healthiness) turned out to be significant for all four measures of label reading. The remaining predictors were specific to selected measures of reading labels. The importance of the information about the content of fat and that about the health effects of consuming a food product were significant predictors of three types of food label use. This study confirms the necessity to investigate reading labels in fine-grained models, adapted to different types of labels and different contexts of reading. Our results show that demographic or socioeconomic variables are not significant predictors of reading food labels for a large group of Polish consumers.
机译:本文旨在识别食品标签的选定预测因子,以扩大关于与食品相关的消费者行为的知识。检查了两种类型的信息:封装前(FOP)和背包背包(BOP),并区分了两个阅读标签的背景:在购物和家庭期间。测试了各种类型的潜在预测因子,包括人口统计(例如,年龄,性别,家庭规模,生活地,社会经济(例如,教育,专业活动,收入),行为(例如,购买某些类型的产品),和心理(例如,附加到各种类型的信息)标准的重要性。通过在1051个波兰消费者的样本中使用CAWI(计算机辅助网络访谈)方法进行了该调查。根据性别,年龄,教育,生活地(城镇与农村)和地区,申请配额抽样。应用了描述性统计,T检验,ANOVA,Pearson相关系数和多元和逆行步骤回归。在逆行步骤回归模型中,只有一个预测器(关于营养健康的自我评估知识)对于所有四种标签读数都具有重要意义。其余的预测因子是特定于读标签的选定措施。关于脂肪含量的重要性以及关于消费食品的健康效果的重要性是三种食品标签使用的重要预测因子。本研究证实必须在细粒型模型中调查阅读标签,适用于不同类型的标签和不同的阅读背景。我们的结果表明,人口统计或社会经济变量不是阅读一大群波兰消费者的食品标签的重要预测因素。

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