Nutrition is a key determinant of long-term health, and social influence has long been theorized to be a key determinant of nutrition. It has been difficult to quantify the postulated role of social influence on nutrition using traditional methods such as surveys, due to the typically small scale and short duration of studies. To overcome these limitations, we leverage a novel source of data: logs of 38 million food purchases made over an 8-year period on the Ecole Polytechnique Federale de Lausanne (EPFL) university campus, linked to anonymized individuals via the smartcards used to make on-campus purchases. In a longitudinal observational study, we ask: How is a person's food choice affected by eating with someone else whose own food choice is healthy vs. unhealthy? To estimate causal effects from the passively observed log data, we control confounds in a matched quasi-experimental design: we identify focal users who at first do not have any regular eating partners but then start eating with a fixed partner regularly, and we match focal users into comparison pairs such that paired users are nearly identical with respect to covariates measured before acquiring the partner, where the two focal users' new eating partners diverge in the healthiness of their respective food choice. A difference-in-differences analysis of the paired data yields clear evidence of social influence: focal users acquiring a healthy-eating partner change their habits significantly more toward healthy foods than focal users acquiring an unhealthy-eating partner. We further identify foods whose purchase frequency is impacted significantly by the eating partner's healthiness of food choice. Beyond the main results, the work demonstrates the utility of passively sensed food purchase logs for deriving insights, with the potential of informing the design of public health interventions and food offerings.
翻译:长期营养是长期健康的一个关键决定因素,社会影响长期以来一直被推断为营养的关键决定因素。由于调查等传统方法通常规模小和研究时间短,很难量化社会影响对营养的假设作用。为了克服这些限制,我们利用了一个新的数据来源:联邦洛桑理工大学校园8年期间购买了3 800万份食品的日志,与健康伙伴通过用于在营地购买的智能卡进行匿名化干预的个人联系在一起。在一项纵向观察研究中,我们问:一个人的食品选择因与自己食品选择健康的人一起吃而受到影响,是如何影响食物选择时间的?为了估计被动观察的日志数据产生的因果关系,我们控制了匹配的准实验设计:我们发现核心用户最初没有固定的饮食伙伴,然后开始与固定的伙伴经常吃饭,我们让焦点用户进行对比,让新用户更清楚地了解饮食选择结果,在获取伙伴数据之前,购买的饮食选择时间差更明显地与购买伙伴的饮食选择时间差有关。我们发现,两个用户在获取各自的健康结果分析时,两个核心用户提供了清晰的用户提供了各自的购买数据。