使用Web Scraping作为收集学校营养数据的工具
Aaron Brown1, Joseph Price2, Joanne Guthrie3
1Department of Statistics, Texam A&M University, College Station, TX.
Journal of nutrition education and behavior
|July 2, 2025
概括
网络抓取有效地收集学校用餐数据,揭示了比萨饼和块等流行的开菜中的显著变化. 这种方法有助于营养专业人员针对学校菜单的改进.
科学领域:
- 营养科学 营养科学
- 数据科学数据科学数据科学
- 公共卫生 公共卫生
背景情况:
- 国家学校午餐计划 (NSLP) 旨在为学生提供营养丰富的食.
- 了解学校餐的营养含量对于公共卫生倡议至关重要.
- 收集全面的学校用餐数据可能是具有挑战性和耗时的.
研究的目的:
- 探索网络抓取用于收集学校用餐数据的潜力.
- 为了检查NSLP内的流行主菜 (比萨,块) 的含量变化.
- 为了研究入餐含量与学区特征之间的关系.
主要方法:
- 利用网络抓取来从全国范围的学区样本中收集每日学校菜单数据.
- 链接网络抓取的菜单数据与公开可用的学区人口和地理信息.
- 分析了不同学区的披萨和块中的含量变化.
主要成果:
- 网络抓取被证明是获得大规模学校用餐数据的及时和经济有效的方法.
- 在NSLP中供应的披萨和块中观察到含量的显著变化.
- 含量差异与学区的地理和社会经济特征有关.
结论:
- 网络抓取是学校食计划营养监测的可行工具.
- 这些发现可以帮助营养专业人员确定菜单改进和有针对性的干预措施的领域.
- 这种方法对监测和加强学校营养政策有更广泛的影响.
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