Department of Health Policy and Management, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Data for Social Transformation, 1-11-2 Osaki, Shinagawa-ku, Tokyo 141-0032, Japan.
Nutrients. 2024 May 8;16(10):1412. doi: 10.3390/nu16101412.
The increasing burden of lifestyle-related diseases highlights the need to address unhealthy dietary habits. This study aims to explore the latest dietary patterns in Japan following the COVID-19 pandemic, focusing on trends in health-promoting food choices. A web-based survey was conducted among 27,154 Japanese adults, selected via quota sampling to mirror national demographics. The study evaluated dietary diversity, measured through the Dietary Variety Score (Outcome 1), and the prioritization of nutritional and health considerations in food selection, assessed via a Likert scale (Outcome 2). Uniform Manifold Approximation and Projection (UMAP) and Ordering Points To Identify the Clustering Structure (OPTICS) algorithms were used to delineate patterns in health-centric food selections. OPTICS clustering revealed four distinct clusters for each outcome. Cluster 3, with a diverse diet, comprised older, predominantly female individuals with higher well-being and lower social isolation compared to Cluster 4, which lacked distinct dietary patterns. Cluster 3 also engaged more in snacking, treat foods, home cooking, and frozen meals. Similarly, a divide emerged between those prioritizing dietary considerations (Cluster C) and those indifferent to such aspects (Cluster D). The findings underscore the need for holistic post-COVID-19 public health initiatives addressing socioeconomic and cultural barriers to healthier dietary practices.
生活方式相关疾病负担不断增加,凸显出解决不健康饮食习惯的必要性。本研究旨在探索日本在 COVID-19 大流行后的最新饮食模式,重点关注促进健康的食物选择趋势。通过在线调查,对 27154 名日本成年人进行了抽样调查,以反映全国人口统计学特征。该研究通过饮食多样性评分(结果 1)评估了饮食多样性,通过李克特量表(结果 2)评估了在食物选择中对营养和健康因素的重视程度。采用统一流形逼近和投影(UMAP)和识别聚类结构的有序点(OPTICS)算法来描绘以健康为中心的食物选择模式。对于每个结果,OPTICS 聚类都揭示了四个不同的聚类。第 3 个聚类饮食多样,由年龄较大、主要为女性的个体组成,与第 4 个聚类相比,他们的幸福感更高,社会隔离程度更低,而第 4 个聚类则没有明显的饮食模式。第 3 个聚类也更倾向于吃零食、点心、在家做饭和吃冷冻餐。同样,那些优先考虑饮食因素的人(C 类)和那些对这些方面漠不关心的人(D 类)之间也出现了分歧。这些发现强调了在 COVID-19 之后需要采取全面的公共卫生措施,以解决更健康饮食实践的社会经济和文化障碍。