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The Association of Demographic Characteristics and Food Choice Motives with the Consumption of Functional Foods in Emerging Adults

机译:人口特征与食品选择动机与新兴成人功能食品的结合

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摘要

The functional food market is one of the fastest growing segments of the global food industry. The aims of this study were to understand the association of demographic characteristics and food choice motives (FCMs) with (a) attitudes toward functional foods and (b) consumption of functional foods in Australian emerging adults. Data were collected through a paper-based and online questionnaire completed by 370 young adults aged between 17 and 29 years. A binomial logistic regression was used to determine the association between demographic characteristics and FCMs with attitudes towards functional foods. The logistic regression model was statistically significant at χ2(11) = 48.310 (p < 0.001) and explained 18.1% of the variance in attitude towards functional food. Of the several predictors, only the FCMs natural content and weight control were statistically significant. A binomial logistic regression was also used to determine the association between demographic characteristics and FCMs with the consumption of functional foods. The logistic regression model was statistically significant at χ2(9) = 37.499 (p < 0.001) and explained 14.1% of the variance in functional food consumption. Of the eight predictors, three were statistically significant: living situation, natural content and health. Findings highlight that when targeting emerging adults, functional food companies could benefit from promoting the natural and health properties of their products. Furthermore, consumption can be increased by targeting the parents of emerging adults and by designing functional foods that attract emerging adults interested in controlling weight.
机译:功能性食品市场是全球食品行业增长最快的部分之一。本研究的目的是了解人口统计特征和食品选择动机(FCMS)与(a)澳大利亚新兴成人功能食品的态度的态度协会。通过370名年龄在17至29岁之间的370名年轻人完成的纸张和在线调查问卷收集数据。使用二项式逻辑回归来确定人口统计学特征与FCM之间的关联,具有对功能性食品的态度。 Logistic回归模型在χ2(11)= 48.310(P <0.001)时统计学意义(P <0.001),并解释了对功能食品的态度方差的18.1%。在几种预测因子中,只有FCMS天然含量和体重控制均有统计学意义。二项式逻辑回归还用于确定人口统计学特性与FCM之间的关联,具有功能性食品。 Logistic回归模型在χ2(9)= 37.499(P <0.001)下统计学意义(p <0.001),并解释了功能性食品消耗的差异的14.1%。在八个预测因子中,三个是统计学意义:生活形势,自然内容和健康。调查结果强调,当针对新兴成人时,功能性食品公司可以从促进其产品的自然和健康状况中受益。此外,通过针对新兴成人的父母以及设计吸引对控制权重的新兴成人的功能食品来增加消费。

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