ArticlePublic health2017
Social media indicators of the food environment and state health outcomes.
Article in Public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Food marketing, eating and health outcomes in children and adults: a systematic review and meta-analysis.The British journal of nutrition · 2025Pooled it
- Non-traditional data sources in obesity research: a systematic review of their use in the study of obesogenic environments.International journal of obesity (2005) · 2023Pooled it
- Measuring access to culturally appropriate food and associations with diabetes among Asian Americans and Native Hawaiians or Pacific Islanders.Public health nutrition · 2025Article
- Designing and Evaluating a Hierarchical Framework for Matching Food Outlets across Multi-sourced Geospatial Datasets: a Case Study of San Diego County.Journal of urban health : bulletin of the New York Academy of Medicine · 2024Article
- Using Crowdsourced Food Image Data for Assessing Restaurant Nutrition Environment: A Validation Study.Nutrients · 2023Article
- Empowering health geography research with location-based social media data: innovative food word expansion and energy density prediction via word embedding and machine learning.International journal of health geographics · 2023Article
- Content and User Engagement of Health-Related Behavior Tweets Posted by Mass Media Outlets From Spain and the United States Early in the COVID-19 Pandemic: Observational Infodemiology Study.JMIR infodemiology · 2023Article
- A Novel Approach to Characterize State-level Food Environment and Predict Obesity Rate Using Social Media Data: Correlational Study.Journal of medical Internet research · 2022Article
- Large-scale diet tracking data reveal disparate associations between food environment and diet.Nature communications · 2022Article
- Mediterranean Diet Social Network Impact along 11 Years in the Major US Media Outlets: Thematic and Quantitative Analysis Using Twitter.International journal of environmental research and public health · 2022Article
- A scoping review on the use of machine learning in research on social determinants of health: Trends and research prospects.SSM - population health · 2021Article
- Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours.Public health nutrition · 2021Review
- Leveraging Data and Digital Health Technologies to Assess and Impact Social Determinants of Health (SDoH): a State-of-the-Art Literature Review.Online journal of public health informatics · 2021Article
- Discovery and validation of biomarkers to aid the development of safe and effective pain therapeutics: challenges and opportunities.Nature reviews. Neurology · 2020Review
- Association between time-weighted activity space-based exposures to fast food outlets and fast food consumption among young adults in urban Canada.The international journal of behavioral nutrition and physical activity · 2020Observational
- Space and Place in Alcohol Research.Current epidemiology reports · 2019Article
- Social determinants of health in mental health care and research: a case for greater inclusion.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Pride, Love, and Twitter Rants: Combining Machine Learning and Qualitative Techniques to Understand What Our Tweets Reveal about Race in the US.International journal of environmental research and public health · 2019Article
- Census Tract Food Tweets and Chronic Disease Outcomes in the U.S., 2015⁻2018.International journal of environmental research and public health · 2019Article
- Using social media to assess the consumer nutrition environment: comparing Yelp reviews with a direct observation audit instrument for grocery stores.Public health nutrition · 2019Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
objectivesContextual factors can influence health through exposures to health-promoting and risk-inducing factors. The aim of this study was to (1) build, from geotagged Twitter and Yelp data, a national food environment database and (2) to test associations between state food environment indicators and health outcomes. STUDY
designThis is a cross-sectional study based upon secondary analyses of publicly available data.
methodsUsing Twitter's Streaming Application Programming Interface (API), we collected and processed 4,041,521 food-related, geotagged tweets between April 2015 and March 2016. Using Yelp's Search API, we collected data on 505,554 unique food-related businesses. In linear regression models, we examined associations between food environment characteristics and state-level health outcomes, controlling for state-level differences in age, percent non-Hispanic white, and median household income.
resultsA one standard deviation increase in caloric density of food tweets was related to higher all-cause mortality (+46.50 per 100,000), diabetes (+0.75%), obesity (+1.78%), high cholesterol (+1.40%), and fair/poor self-rated health (2.01%). More burger Yelp listings were related to higher prevalence of diabetes (+0.55%), obesity (1.35%), and fair/poor self-rated health (1.12%). More alcohol tweets and Yelp bars and pub listings were related to higher state-level binge drinking and heavy drinking, but lower mortality and lower percent reporting fair/poor self-rated health. Supplemental analyses with county-level social media indicators and county health outcomes resulted in finding similar but slightly attenuated associations compared to those found at the state level.
conclusionsSocial media can be utilized to create indicators of the food environment that are associated with area-level mortality, health behaviors, and chronic conditions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.