Twitter-Derived Social Neighborhood Characteristics and Individual-Level Cardiometabolic Outcomes: Cross-Sectional Study in a Nationally Representative Sample.
Twitter
cardiometabolic outcomes
neighborhood study
Journal
JMIR public health and surveillance
ISSN: 2369-2960
Titre abrégé: JMIR Public Health Surveill
Pays: Canada
ID NLM: 101669345
Informations de publication
Date de publication:
18 08 2020
18 08 2020
Historique:
received:
29
01
2020
accepted:
27
05
2020
revised:
26
04
2020
entrez:
19
8
2020
pubmed:
19
8
2020
medline:
28
7
2021
Statut:
epublish
Résumé
Social media platforms such as Twitter can serve as a potential data source for public health research to characterize the social neighborhood environment. Few studies have linked Twitter-derived characteristics to individual-level health outcomes. This study aims to assess the association between Twitter-derived social neighborhood characteristics, including happiness, food, and physical activity mentions, with individual cardiometabolic outcomes using a nationally representative sample. We collected a random 1% of the geotagged tweets from April 2015 to March 2016 using Twitter's Streaming Application Interface (API). Twitter-derived zip code characteristics on happiness, food, and physical activity were merged to individual outcomes from restricted-use National Health and Nutrition Examination Survey (NHANES) with residential zip codes. Separate regression analyses were performed for each of the neighborhood characteristics using NHANES 2011-2016 and 2007-2016. Individuals living in the zip codes with the two highest tertiles of happy tweets reported BMI of 0.65 (95% CI -1.10 to -0.20) and 0.85 kg/m Twitter-derived social neighborhood characteristics were associated with individual-level obesity and hypertension in a nationally representative sample of US adults. Twitter data could be used for capturing neighborhood sociocultural influences on chronic conditions and may be used as a platform for chronic outcomes prevention.
Sections du résumé
BACKGROUND
Social media platforms such as Twitter can serve as a potential data source for public health research to characterize the social neighborhood environment. Few studies have linked Twitter-derived characteristics to individual-level health outcomes.
OBJECTIVE
This study aims to assess the association between Twitter-derived social neighborhood characteristics, including happiness, food, and physical activity mentions, with individual cardiometabolic outcomes using a nationally representative sample.
METHODS
We collected a random 1% of the geotagged tweets from April 2015 to March 2016 using Twitter's Streaming Application Interface (API). Twitter-derived zip code characteristics on happiness, food, and physical activity were merged to individual outcomes from restricted-use National Health and Nutrition Examination Survey (NHANES) with residential zip codes. Separate regression analyses were performed for each of the neighborhood characteristics using NHANES 2011-2016 and 2007-2016.
RESULTS
Individuals living in the zip codes with the two highest tertiles of happy tweets reported BMI of 0.65 (95% CI -1.10 to -0.20) and 0.85 kg/m
CONCLUSIONS
Twitter-derived social neighborhood characteristics were associated with individual-level obesity and hypertension in a nationally representative sample of US adults. Twitter data could be used for capturing neighborhood sociocultural influences on chronic conditions and may be used as a platform for chronic outcomes prevention.
Identifiants
pubmed: 32808935
pii: v6i3e17969
doi: 10.2196/17969
pmc: PMC7485998
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
e17969Subventions
Organisme : NIEHS NIH HHS
ID : K01 ES025433
Pays : United States
Organisme : NICHD NIH HHS
ID : P2C HD041041
Pays : United States
Organisme : NLM NIH HHS
ID : R01 LM012849
Pays : United States
Informations de copyright
©Dina Huang, Yuru Huang, Sahil Khanna, Pallavi Dwivedi, Natalie Slopen, Kerry M Green, Xin He, Robin Puett, Quynh Nguyen. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 18.08.2020.
Références
Appl Geogr. 2016 Aug;73:77-88
pubmed: 28533568
Med Sci Sports Exerc. 2011 Aug;43(8):1575-81
pubmed: 21681120
Am J Hypertens. 2011 Jun;24(6):643-6
pubmed: 21415843
Prev Med. 1990 Jul;19(4):377-401
pubmed: 2399221
J Health Econ. 2008 Mar;27(2):218-33
pubmed: 18199513
J Med Internet Res. 2015 Jun 08;17(6):e140
pubmed: 26054530
Int J Behav Nutr Phys Act. 2006 Jan 25;3:2
pubmed: 16436207
Am J Epidemiol. 2017 Dec 1;186(11):1237-1245
pubmed: 29206987
J Nutr Educ Behav. 2013 Nov-Dec;45(6):652-60
pubmed: 23916684
J Nutr Health Aging. 2014 Nov;18(9):792-8
pubmed: 25389956
J Hum Hypertens. 2009 Jan;23(1):12-9
pubmed: 18615099
Pediatr Diabetes. 2017 Mar;18(2):120-127
pubmed: 26783014
Am J Prev Med. 2011 Oct;41(4):442-55
pubmed: 21961474
BMC Med Res Methodol. 2003 Oct 20;3:21
pubmed: 14567763
J Phys Act Health. 2014 Mar;11(3):648-53
pubmed: 23416874
J Am Diet Assoc. 1998 Oct;98(10):1118-26
pubmed: 9787717
Science. 2010 Sep 3;329(5996):1194-7
pubmed: 20813952
BMJ. 2008 Dec 04;337:a2338
pubmed: 19056788
Proc Natl Acad Sci U S A. 2005 May 3;102(18):6508-12
pubmed: 15840727
Public Health Rep. 1979 Jun;94(3):216-25
pubmed: 451130
Circulation. 1999 Apr 27;99(16):2192-217
pubmed: 10217662
J Clin Epidemiol. 2015 Sep;68(9):970-8
pubmed: 25910912
Pediatrics. 2005 Sep;116(3):657-62
pubmed: 16140705
Am J Epidemiol. 2008 Jun 1;167(11):1349-57
pubmed: 18367469
Am J Prev Med. 2009 Apr;36(4 Suppl):S99-123.e12
pubmed: 19285216
JMIR Public Health Surveill. 2016 Oct 17;2(2):e158
pubmed: 27751984
Am J Public Health. 2015 Jun;105(6):1181-8
pubmed: 25322309
Soc Sci Res. 2016 May;57:80-98
pubmed: 26973033
PLoS One. 2013 May 29;8(5):e64417
pubmed: 23734200
Prev Med. 2018 May;110:47-54
pubmed: 29432790
Prev Med. 2006 Dec;43(6):437-41
pubmed: 16928396
Behav Modif. 2005 Jul;29(4):677-88
pubmed: 15911688
J Urban Health. 2003 Dec;80(4):536-55
pubmed: 14709704
Med Sci Sports Exerc. 2008 Jul;40(7 Suppl):S550-66
pubmed: 18562973
Ann Behav Med. 1995 Spring;17(2):142-9
pubmed: 18425665
J Med Internet Res. 2013 Nov 20;15(11):e261
pubmed: 24257325
Am J Public Health. 1992 Aug;82(8):1089-92
pubmed: 1636828
J Epidemiol Community Health. 2005 Oct;59(10):822-7
pubmed: 16166352
Int J Behav Nutr Phys Act. 2010 Dec 07;7:86
pubmed: 21138550
Soc Psychiatry Psychiatr Epidemiol. 2006 May;41(5):333-7
pubmed: 16565916