To obtain a comprehensive picture of current food lifestyle patterns, this study aims to identify consumer segments with a focus on health-related considerations, and to profile segmented consumers based on demographic characteristics. As an adaptation of the food-related lifestyle instrument, consumer segmentation indicators in this study capture four dimensions: ways of shopping; importance of quality aspect; healthy eating; and health practice. Nationwide data targeting U.S. food shoppers were collected from June 2016 to November 2019 (N = 20,827). Latent class analysis, a probabilistic model-based segmentation approach, identified five distinct food lifestyle segments: passionately involved consumers (11%), nutrition-focused consumers (30%), moderately involved consumers (17%), convenience-oriented consumers (21%), and uninvolved consumers (21%). This pattern has differences as well as similarities with the one reflecting U.S. food shoppers in 2003 and those identified in Europe. In addition, these segments are made up of consumers with different demographic and regional characteristics. U.S. census regions, such as East South Central and West South Central, where there is a higher obesity prevalence, tend to have a larger portion of uninvolved consumers and a smaller portion of highly involved consumers (passionately involved and nutrition-focused consumers). The resulting food lifestyle segments, consumer profiling, and regional comparisons provide insights into effective marketing communication and consumer education on healthy eating.

中文翻译：

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当代食品购物者的饮食生活方式模式

为了全面了解当前的饮食生活方式模式，本研究旨在确定关注健康相关因素的消费者细分市场，并根据人口统计特征对细分消费者进行分析。作为对食品相关生活方式工具的改编，本研究中的消费者细分指标涵盖四个维度：购物方式；质量方面的重要性；健康饮食; 和健康实践。从 2016 年 6 月到 2019 年 11 月收集了针对美国食品购物者的全国性数据（N = 20,827)。潜在类别分析是一种基于概率模型的细分方法，确定了五个不同的饮食生活方式细分：热情参与的消费者 (11%)、以营养为中心的消费者 (30%)、适度参与的消费者 (17%)、以便利为导向的消费者 (21 %) 和未参与的消费者 (21%)。这种模式与 2003 年反映美国食品购物者的模式和欧洲确定的模式既有差异又有相似之处。此外，这些细分市场由具有不同人口和区域特征的消费者组成。美国人口普查地区，例如中东部和中南部，肥胖率较高，往往有较大比例的未参与消费者和较少部分高度参与的消费者（热情参与和注重营养的消费者）。