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Using Data Analytics to Understand Children's Food Choice Behaviour

使用数据分析了解儿童的食物选择行为

基本信息

批准号：
2443572
负责人：
金额：
--
依托单位：
University of Leeds
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2020
资助国家：
英国
起止时间：
2020 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2443572
关键词：
Using Data Analytics Understand Children

项目摘要

Understanding children's food choice behaviour is critical to addressing the high levels of childhood obesity in the UK and elsewhere. Automatically collected food choice data provide a high quality, and voluminous source for investigating dietary patterns and can reveal valuable insights to how food decisions are made. Some primary schools are beginning to utilise systems to register pupils' food selections from lunchtime menus. This now affords a unique opportunity to explore these emerging datasets in order to understand their potential, and what they can reveal about children's food choice behaviour.This project will use food choice data across multiple schools and for full academic years. Food choice will be scrutinised with respect to available sociodemographic characteristics (such as school year group and free school meal entitlement), in order to investigate children's food choice patterns within a school food environment. This data-driven approach will look to inform food choice models and theory relating to children's food choice behaviour. There is scope to explore data-linkage to additional school-held pupil data (e.g. further student characteristics, attainment). In relation to this, logistical and other issues will be examined, in order to explore the possibilities of providing associative evidence of relationships between food choice and these student factors. Working in collaboration with an external partner, SchoolGrid, this interdisciplinary project will demonstrate the potential of food choice data in primary schools. The intention is that findings will have policy and practice implications, and directly inform the design and delivery of future interventions to change children's food choice behaviour, thereby contributing towards improvements in children's dietary health.

了解儿童的食物选择行为对于解决英国和其他地方儿童肥胖率高的问题至关重要。自动收集的食物选择数据为调查饮食模式提供了高质量和大量的来源，并可以揭示如何做出食物决定的有价值的见解。一些小学开始使用系统来登记学生午餐菜单上的食物选择。现在，这为探索这些新兴的数据集提供了一个独特的机会，以了解它们的潜力，以及它们可以揭示儿童的食物选择行为。该项目将使用多所学校和整个学年的食物选择数据。将根据现有的社会人口学特征(如学年群体和免费学校膳食)仔细审查食物选择，以调查儿童在学校食物环境中的食物选择模式。这种数据驱动的方法将寻求为与儿童食物选择行为有关的食物选择模型和理论提供信息。有机会探索与其他在校学生数据的数据联系(例如，进一步的学生特征、成绩)。在这方面，将研究后勤和其他问题，以探索提供食物选择和这些学生因素之间关系的关联证据的可能性。这个跨学科项目与外部合作伙伴School Grid合作，将展示小学食物选择数据的潜力。其目的是，研究结果将对政策和实践产生影响，并直接指导未来干预措施的设计和实施，以改变儿童的食物选择行为，从而有助于改善儿童的饮食健康。