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The prevalence of cardiometabolic diseases in the United States is presumably linked to an obesogenic retail food environment that promotes unhealthy dietary habits. Past studies, however, have reported inconsistent findings about the relationship between the two. One underexplored area is how humans interact with food environments and how to integrate human activity into scalable measures. In this paper, we develop the retail food activity index (RFAI) at the census tract level by utilizing Global Positioning System tracking data covering over 94 million aggregated visit records to approximately 359,000 food retailers across the United States over two years. Here we show that the RFAI has significant associations with the prevalence of multiple cardiometabolic diseases. Our study indicates that the RFAI is a promising index with the potential for guiding the development of policies and health interventions aimed at curtailing the burden of cardiometabolic diseases, especially in communities characterized by obesogenic dietary behaviors.

Titel:	Integrating human activity into food environments can better predict cardiometabolic diseases in the United States.
Autor/in / Beteiligte Person:	Xu, R ; Huang, X ; Zhang, K ; Lyu, W ; Ghosh, D ; Li, Z ; Chen, X
Link:	Full Text Finder (Volltext)
Zeitschrift:	Nature communications, Jg. 14 (2023-11-13), Heft 1, S. 7326
Veröffentlichung:	[London] : Nature Pub. Group, 2023
Medientyp:	academicJournal
ISSN:	2041-1723 (electronic)
DOI:	10.1038/s41467-023-42667-8
Schlagwort:	Humans United States epidemiology Food Environment Human Activities Residence Characteristics Obesity epidemiology Cardiovascular Diseases epidemiology
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. Language: English [Nat Commun] 2023 Nov 13; Vol. 14 (1), pp. 7326. <i>Date of Electronic Publication: </i>2023 Nov 13. MeSH Terms: Obesity* / epidemiology ; Cardiovascular Diseases* / epidemiology ; Humans ; United States / epidemiology ; Food ; Environment ; Human Activities ; Residence Characteristics References: Am J Epidemiol. 2014 Apr 15;179(8):1025-33. (PMID: 24598867) ; J Public Health Manag Pract. 2008 May-Jun;14(3):272-9. (PMID: 18408552) ; PLoS Med. 2022 Apr 26;19(4):e1003970. (PMID: 35472059) ; Public Health Nutr. 2021 Jan;24(1):117-124. (PMID: 32641177) ; Am J Clin Nutr. 2017 Aug;106(2):603-613. (PMID: 28566310) ; Public Health Nutr. 2009 Mar;12(3):397-405. (PMID: 18477414) ; J Acad Nutr Diet. 2022 May;122(5):1000-1012. (PMID: 34781003) ; Nutrients. 2018 Dec 13;10(12):. (PMID: 30551652) ; Ann Epidemiol. 2013 Jan;23(1):19-24. (PMID: 23149066) ; Aliment Pharmacol Ther. 2022 Nov;56(9):1383-1393. (PMID: 36173037) ; J Immigr Minor Health. 2019 Oct;21(5):1052-1060. (PMID: 30141025) ; Nutr J. 2013 Jan 29;12:17. (PMID: 23360547) ; J Acad Nutr Diet. 2021 May;121(5):837-843. (PMID: 33568334) ; Obesity (Silver Spring). 2015 Jul;23(7):1331-44. (PMID: 26096983) ; PLoS One. 2012;7(8):e41418. (PMID: 22936974) ; J Epidemiol Community Health. 2004 Mar;58(3):208-15. (PMID: 14966233) ; Hisp J Behav Sci. 2013 Sep 5;35(4):486-509. (PMID: 26120244) ; Public Health Nutr. 2023 Sep;26(9):1850-1861. (PMID: 37326127) ; Int J Health Geogr. 2015 Feb 06;14:8. (PMID: 25656299) ; Health Place. 2011 Sep;17(5):1150-61. (PMID: 21696995) ; Am J Public Health. 2014 Jan;104(1):110-6. (PMID: 23678913) ; Health Place. 2020 Nov;66:102458. (PMID: 33035746) ; Prev Med Rep. 2021 Jan 07;21:101313. (PMID: 33604235) ; Am J Prev Med. 2007 Apr;32(4):282-9. (PMID: 17383559) ; Am J Public Health. 2015 Sep;105(9):1734-7. (PMID: 26180982) ; Health Place. 2015 Jul;34:19-29. (PMID: 25864019) ; Am J Health Promot. 2009 Jan-Feb;23(3):203-9. (PMID: 19149426) ; Health Place. 2009 Jun;15(2):578-585. (PMID: 19046654) ; Int J Behav Nutr Phys Act. 2012 May 20;9:58. (PMID: 22607218) ; BMC Nutr. 2021 Jun 29;7(1):29. (PMID: 34183071) ; Obes Rev. 2021 Feb;22 Suppl 1:e12908. (PMID: 31274248) ; JAMA Netw Open. 2022 Jun 1;5(6):e2216406. (PMID: 35679041) ; Am J Public Health. 2004 Sep;94(9):1549-54. (PMID: 15333313) ; Annu Rev Nutr. 2004;24:617-43. (PMID: 15189134) ; Nat Commun. 2022 Jan 18;13(1):267. (PMID: 35042849) ; Health Place. 2013 May;21:46-51. (PMID: 23425661) ; Am J Prev Med. 2009 Apr;36(4 Suppl):S151-5. (PMID: 19285206) ; Nutrients. 2023 Jan 13;15(2):. (PMID: 36678275) ; Am J Epidemiol. 2015 Jul 15;182(2):127-37. (PMID: 25957312) ; Am J Public Health. 2014 May;104(5):924-9. (PMID: 24625148) ; Sci Rep. 2022 Nov 14;12(1):19475. (PMID: 36376533) ; Circulation. 2020 Mar 3;141(9):e139-e596. (PMID: 31992061) ; Prev Med. 2007 Mar;44(3):189-95. (PMID: 16997358) ; Sustain Cities Soc. 2022 Jan;76:103506. (PMID: 34877249) ; SSM Popul Health. 2016 Oct 11;2:770-777. (PMID: 29349188) ; Proc Natl Acad Sci U S A. 2022 Apr 26;119(17):e2117776119. (PMID: 35446711) ; Obes Rev. 2011 May;12(5):e460-71. (PMID: 20149118) ; Am J Public Health. 2013 Mar;103(3):e52-60. (PMID: 23327278) ; Curr Nutr Rep. 2019 Dec;8(4):411-428. (PMID: 31797233) Entry Date(s): Date Created: 20231113 Date Completed: 20231115 Latest Revision: 20231124 Update Code: 20231215 PubMed Central ID: PMC10643374

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Integrating human activity into food environments can better predict cardiometabolic diseases in the United States.