School of Human Evolution and Social Change, Arizona State University, Tempe, AZ.
Center for the Study of Los Angeles, Loyola Marymount University, Los Angeles, CA.
J Nutr Educ Behav. 2018 Apr;50(4):365-371.e1. doi: 10.1016/j.jneb.2017.12.012. Epub 2018 Mar 1.
This study examined perceptions of healthy eating styles among US respondents to determine whether eating styles are defined as a distinct set of people's healthy eating beliefs and how different aspects of eating styles are perceived to affect health.
In-person pile sort activities were used to identify key dimensions of healthy eating beliefs, and online surveys were used to confirm these dimensions and examine perceived health benefits of healthy eating styles.
The pile-sorting activity recruited 48 US participants in the Phoenix metropolitan area via social media and snowball sampling. Online surveys recruited US participants via Amazon Mechanical Turk (survey 1, n = 70; survey 2, n = 283).
The researchers used an exploratory visualizing technique (multidimensional scaling) to analyze pile sort data; Property Filling (PROFIT) analysis was used to analyze online survey 1; paired sample t test and repeated-measures ANOVA were used to analyze online survey 2.
Eating styles are a distinct set of beliefs within lay models of healthful diets (P < .001) viewed as important for a number of health outcomes, including weight management.
In addition to educating the public about choosing healthy food characteristics, health and nutrition professionals may need to address people's beliefs regarding healthy eating styles to identify gaps and misconceptions. Future research is needed to examine the relationships between such beliefs and corresponding behaviors, as well as whether these behaviors result in any health benefits.
本研究通过考察美国受访者对健康饮食方式的看法,确定饮食方式是否被定义为人们健康饮食信念的一个独特集合,以及饮食方式的不同方面如何被认为会影响健康。
使用面对面的堆积分类活动来确定健康饮食信念的关键维度,并使用在线调查来确认这些维度,并探讨健康饮食方式的感知健康益处。
堆积分类活动通过社交媒体和滚雪球抽样在凤凰城大都市区招募了 48 名美国参与者。在线调查通过亚马逊 Mechanical Turk(调查 1,n=70;调查 2,n=283)招募美国参与者。
研究人员使用探索性可视化技术(多维尺度分析)分析堆积分类数据;使用属性填充(PROFIT)分析分析在线调查 1;使用配对样本 t 检验和重复测量 ANOVA 分析在线调查 2。
饮食方式是健康饮食模式中一组独特的信念(P<.001),被认为对许多健康结果(包括体重管理)很重要。
除了教育公众选择健康食物的特点外,健康和营养专业人员可能还需要解决人们对健康饮食方式的信念,以发现差距和误解。未来的研究需要检验这些信念与相应行为之间的关系,以及这些行为是否带来任何健康益处。