This paper is in the following e-collection/theme issue:

Innovative Methods in Public Health and Surveillance (336) Infodemiology and Infoveillance (1369)

Published on in Vol 6, No 3 (2020): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17969, first published .
Twitter-Derived Social Neighborhood Characteristics and Individual-Level Cardiometabolic Outcomes: Cross-Sectional Study in a Nationally Representative Sample

Twitter-Derived Social Neighborhood Characteristics and Individual-Level Cardiometabolic Outcomes: Cross-Sectional Study in a Nationally Representative Sample

Twitter-Derived Social Neighborhood Characteristics and Individual-Level Cardiometabolic Outcomes: Cross-Sectional Study in a Nationally Representative Sample

Authors of this article:

Dina Huang1 Author Orcid Image ;   Yuru Huang1 Author Orcid Image ;   Sahil Khanna2 Author Orcid Image ;   Pallavi Dwivedi1 Author Orcid Image ;   Natalie Slopen1 Author Orcid Image ;   Kerry M Green3 Author Orcid Image ;   Xin He1 Author Orcid Image ;   Robin Puett4 Author Orcid Image ;   Quynh Nguyen1 Author Orcid Image
Article Authors Cited by (7) Tweetations (4) Metrics

Journals

  1. Tricás-Vidal H, Vidal-Peracho M, Lucha-López M, Hidalgo-García C, Monti-Ballano S, Márquez-Gonzalvo S, Tricás-Moreno J. Impact of Fitness Influencers on the Level of Physical Activity Performed by Instagram Users in the United States of America: Analytical Cross-Sectional Study. International Journal of Environmental Research and Public Health 2022;19(21):14258 View
  2. Tricás-Vidal H, Vidal-Peracho M, Lucha-López M, Hidalgo-García C, Monti-Ballano S, Márquez-Gonzalvo S, Tricás-Moreno J. Association between Body Mass Index and the Use of Digital Platforms to Record Food Intake: Cross-Sectional Analysis. Applied Sciences 2022;12(23):12144 View
  3. Wirtz Baker J, Pou S, Niclis C, Haluszka E, Aballay L. Non-traditional data sources in obesity research: a systematic review of their use in the study of obesogenic environments. International Journal of Obesity 2023;47(8):686 View
  4. Lucha-López M, Hidalgo-García C, Lucha-López A, Monti-Ballano S, Márquez-Gonzalvo S, Ferrández-Laliena L, Tricás-Vidal H, Tricás-Moreno J. Determinants of Consumption of Vegetables among the Spanish Population: A Cross-Sectional Study. Foods 2023;12(21):4030 View
  5. McNeill E, Lindenfeld Z, Mostafa L, Zein D, Silver D, Pagán J, Weeks W, Aerts A, Des Rosiers S, Boch J, Chang J. Uses of Social Determinants of Health Data to Address Cardiovascular Disease and Health Equity: A Scoping Review. Journal of the American Heart Association 2023;12(21) View
  6. Lucha-López M, Hidalgo-García C, Monti-Ballano S, Márquez-Gonzalvo S, Ferrández-Laliena L, Müller-Thyssen-Uriarte J, Lucha-López A. Body Mass Index and Its Influence on Chronic Low Back Pain in the Spanish Population: A Secondary Analysis from the European Health Survey (2020). Biomedicines 2023;11(8):2175 View
  7. Le Turc N, Silva A, Florença S, Raposo A, Gonçalves J, Lima M, Teixeira-Lemos E, Guiné R. Consumer Knowledge about Dietary Relevance of Fruits and Vegetables: A Study Involving Participants from Portugal and France. Nutrients 2024;16(2):287 View