Open Lab., Urban Sciences Building, Newcastle Helix, Newcastle University, Newcastle-Upon-Tyne NE4 5TG, UK.
Population Health Sciences Institute, Newcastle University, Newcastle-Upon-Tyne NE1 7RU, UK.
Int J Environ Res Public Health. 2020 Dec 11;17(24):9260. doi: 10.3390/ijerph17249260.
Digital food ordering platforms are used by millions across the world and provide easy access to takeaway fast-food that is broadly, though not exclusively, characterised as energy dense and nutrient poor. Outlets are routinely rated for hygiene, but not for their healthiness. Nutritional information is mandatory in pre-packaged foods, with many companies voluntarily using traffic light labels to support making healthier choices. We wanted to identify a feasible universal method to objectively score takeaway fast-food outlets listed on Just Eat that could provide users with an accessible rating that can infer an outlet's . Using a sample of takeaway outlets listed on Just Eat, we obtained four complete assessments by nutrition researchers of each outlet's healthiness to create a cumulative score that ranged from 4 to 12. We then identified and manually extracted nutritional attributes from each outlet's digital menu, e.g., number of vegetables that have the potential to be numerated. Using generalized linear modelling we identified which attributes were linear predictors of an outlet's healthiness assessment from nutritional researchers. The availability of water, salad, and the diversity of vegetables were positively associated with academic researchers' assessment of an outlet's healthiness, whereas the availability of chips, desserts, and multiple meal sizes were negatively associated. This study shows promise for the feasibility of an objective measure of healthiness that could be applied to all outlet listings on Just Eat and other digital food outlet aggregation platforms. However, further research is required to assess the metric's validity, its desirability and value to users, and ultimately its potential influence on food choice behaviour.
全球有数百万用户使用数字食品订购平台,这些平台提供了便捷的外卖快餐服务,这些快餐通常能量密集但营养贫乏。餐厅的卫生情况通常会受到评级,但健康状况却不会。预包装食品必须提供营养信息,许多公司会自愿使用红绿灯标签来支持人们做出更健康的选择。我们希望找到一种可行的通用方法,客观地对 Just Eat 上列出的外卖快餐店进行评分,以便为用户提供可访问的评分,从而推断出该店的健康程度。我们从 Just Eat 上的外卖店样本中,获得了营养研究人员对每个店健康程度的四项完整评估,从而创建了一个从 4 到 12 分的累积评分。然后,我们从每个店的数字菜单中手动提取营养属性,例如可以进行计数的蔬菜数量。我们使用广义线性模型,确定了从营养研究人员那里可以预测餐厅健康评估的属性。水、沙拉和蔬菜种类的多样性与学术研究人员对餐厅健康程度的评估呈正相关,而薯条、甜点和多种套餐大小则呈负相关。这项研究表明,对 Just Eat 和其他数字食品外卖聚合平台上所有外卖店的健康程度进行客观衡量是可行的。然而,还需要进一步研究来评估该指标的有效性、用户对其的期望和价值,以及最终对食品选择行为的潜在影响。