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Horn AL, Bell BM, Bulle Bueno BG, Bahrami M, Bozkaya B, Cui Y, Wilson JP, Pentland A, Moro E, de la Haye K. Population mobility data provides meaningful indicators of fast food intake and diet-related diseases in diverse populations. NPJ Digit Med 2023; 6:208. [PMID: 37968446 PMCID: PMC10651929 DOI: 10.1038/s41746-023-00949-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 10/18/2023] [Indexed: 11/17/2023] Open
Abstract
The characteristics of food environments people are exposed to, such as the density of fast food (FF) outlets, can impact their diet and risk for diet-related chronic disease. Previous studies examining the relationship between food environments and nutritional health have produced mixed findings, potentially due to the predominant focus on static food environments around people's homes. As smartphone ownership increases, large-scale data on human mobility (i.e., smartphone geolocations) represents a promising resource for studying dynamic food environments that people have access to and visit as they move throughout their day. This study investigates whether mobility data provides meaningful indicators of diet, measured as FF intake, and diet-related disease, evaluating its usefulness for food environment research. Using a mobility dataset consisting of 14.5 million visits to geolocated food outlets in Los Angeles County (LAC) across a representative sample of 243,644 anonymous and opted-in adult smartphone users in LAC, we construct measures of visits to FF outlets aggregated over users living in neighborhood. We find that the aggregated measures strongly and significantly correspond to self-reported FF intake, obesity, and diabetes in a diverse, representative sample of 8,036 LAC adults included in a population health survey carried out by the LAC Department of Public Health. Visits to FF outlets were a better predictor of individuals' obesity and diabetes than their self-reported FF intake, controlling for other known risks. These findings suggest mobility data represents a valid tool to study people's use of dynamic food environments and links to diet and health.
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Affiliation(s)
- Abigail L Horn
- Information Sciences Institute and Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
| | - Brooke M Bell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, USA
| | | | - Mohsen Bahrami
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Burçin Bozkaya
- Sabanci Business School, Sabanci University, Istanbul, Turkey
| | - Yan Cui
- Los Angeles County Department of Public Health, Los Angeles, CA, USA
| | - John P Wilson
- Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA
- Departments of Civil & Environmental Engineering and Computer Science, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Alex Pentland
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Esteban Moro
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA
- Departamento de Matemáticas & GISC, Universidad Carlos III de Madrid, Leganés, Spain
| | - Kayla de la Haye
- Institute for Food System Equity, Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
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