Analysis of Supermarket Grocery Data for Prediction of Nutritional and Health Outcomes at the Population Level - Supermarket A

Rates of overweight, obesity, and chronic diseases such as cardiovascular diseases, hypertension, type 2 diabetes and certain cancers (bowel, lung, prostate and uterine) are on the rise in most sub-saharan Africa (SSA) countries like kenya. These increases can be largely attributed to the shift toward unhealthy diet patterns and increased access to processed foods that are high in fat, sugar, and sodium. The influx of supermarkets in east africa and the replacement of traditional foods for processed foods places this region in a vulnerable position for greater increases in chronic disease rates. Consumer purchasing history from supermarkets can provide valuable insight to food intake over time and the present and future effects on chronic diseases. Purchasing data from supermarkets is available yet underutilized in SSA.

The study aimed to harmonize and increase accessibility to grocery data, use statistical methods to explore purcharing patterns and predict the effects of nutrition on chronic diseases, and inform policy on the various influences on consumer purchases.

多数撒哈拉以南非洲（Sub-Saharan Africa, SSA）国家，如肯尼亚，的超重、肥胖及心血管疾病、高血压、2型糖尿病和部分癌症（肠癌、肺癌、前列腺癌及子宫癌）等慢性病的患病率正持续攀升。此类慢性病患病率的上升，在很大程度上可归因于饮食模式向不健康方向转变，以及高脂、高糖、高钠加工食品的可及性提升。东非地区超市数量激增，传统食品逐渐被加工食品取代，使得该区域面临慢性病患病率进一步攀升的高风险。超市的消费者购买记录能够为长期膳食摄入情况及其对慢性病的当下与未来影响提供宝贵的研究视角。目前撒哈拉以南非洲地区虽已掌握超市采购数据，却尚未得到充分利用。

本研究旨在统一并提升食品杂货数据的可及性，通过统计方法探究消费模式，预测营养摄入对慢性病的影响，并为制定影响消费者购买行为的相关政策提供依据。