ArticleInternational journal of environmental research and public health2019
Census Tract Food Tweets and Chronic Disease Outcomes in the U.S., 2015⁻2018.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- Neighborhood Condition Prevalence Rates Correlate With COVID-19 Mortality in Milwaukee County, Wisconsin.Journal of patient-centered research and reviews · 2023Article
- Diet during the COVID-19 pandemic: An analysis of Twitter data.Patterns (New York, N.Y.) · 2022Article
- Exploring the Linkages of Digital Food Communication and Analog Food Behavior: A Scoping Review.International journal of environmental research and public health · 2022Article
- Food Acquisition during the COVID-19 Lockdown and Its Associations with the Physical-Digital Integrated Community Food Environment: A Case Study of Nanjing, China.International journal of environmental research and public health · 2022Article
- COVID-19 Pandemic: Identifying Key Issues Using Social Media and Natural Language Processing.Journal of healthcare informatics research · 2022Article
- Health, Psychosocial, and Social Issues Emanating From the COVID-19 Pandemic Based on Social Media Comments: Text Mining and Thematic Analysis Approach.JMIR medical informatics · 2021Article
- The Story of Goldilocks and Three Twitter's APIs: A Pilot Study on Twitter Data Sources and Disclosure.International journal of environmental research and public health · 2020Article
- Implementation of an Interdisciplinary Approach to Promote Workers Global Health Status in the Oil Industry, Brazil (2006-2015).International journal of environmental research and public health · 2019Article
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3 authors.
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Abstract
There is a growing recognition of social media data as being useful for understanding local area patterns. In this study, we sought to utilize geotagged tweets-specifically, the frequency and type of food mentions-to understand the neighborhood food environment and the social modeling of food behavior. Additionally, we examined associations between aggregated food-related tweet characteristics and prevalent chronic health outcomes at the census tract level. We used a Twitter streaming application programming interface (API) to continuously collect ~1% random sample of public tweets in the United States. A total of 4,785,104 geotagged food tweets from 71,844 census tracts were collected from April 2015 to May 2018. We obtained census tract chronic disease outcomes from the CDC 500 Cities Project. We investigated associations between Twitter-derived food variables and chronic outcomes (obesity, diabetes and high blood pressure) using the median regression. Census tracts with higher average calories per tweet, less frequent healthy food mentions, and a higher percentage of food tweets about fast food had higher obesity and hypertension prevalence. Twitter-derived food variables were not predictive of diabetes prevalence. Food-related tweets can be leveraged to help characterize the neighborhood social and food environment, which in turn are linked with community levels of obesity and hypertension.
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