Hernandez Mark A, Modi Shagun, Mittal Kanisha, Dwivedi Pallavi, Nguyen Quynh C, Cesare Nina L, Nsoesie Elaine O
Boston University School of Public Health, Boston, MA 02118, USA.
Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA 02421, USA.
Patterns (N Y). 2022 Aug 12;3(8):100547. doi: 10.1016/j.patter.2022.100547. Epub 2022 Jun 15.
In this study, we measured the association between county characteristics and changes in healthy-food, fast-food, and alcohol tweets during the COVID-19 pandemic in the United States. Our analytic dataset consisted of 1,282,316 geotagged tweets that referenced food consumption posted before (63.2%) and during (36.8%) the pandemic and included all US states. We found the share of healthy-food tweets increased by 20.5% during the pandemic compared with pre-pandemic, while fast-food and alcohol tweets decreased by 9.4% and 11.4%, respectively. We also observed that time spent at home and more grocery stores per capita were associated with increased odds of healthy-food tweets and decreased odds of fast-food tweets. More liquor stores per capita was associated with increased odds of alcohol tweets. Our results highlight the potential impact of the pandemic on nutrition and alcohol consumption and the association between the built environment and health behaviors.
在本研究中，我们衡量了美国各县特征与新冠疫情期间健康食品、快餐和酒精相关推文变化之间的关联。我们的分析数据集包含1282316条带有地理标签的推文，这些推文提及了疫情前（63.2%）和疫情期间（36.8%）的食品消费情况，涵盖了美国所有州。我们发现，与疫情前相比，疫情期间健康食品推文的占比增加了20.5%，而快餐和酒精相关推文分别减少了9.4%和11.4%。我们还观察到，居家时间和人均杂货店数量增加与健康食品推文发布几率增加以及快餐推文发布几率降低有关。人均酒类商店数量增加与酒精相关推文发布几率增加有关。我们的研究结果凸显了疫情对营养和酒精消费的潜在影响，以及建筑环境与健康行为之间的关联。
