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

Demographics of Users, Social & Digital Divide (756)

Published on in Vol 18, No 3 (2016): March

Entertainment or Health? Exploring the Internet Usage Patterns of the Urban Poor: A Secondary Analysis of a Randomized Controlled Trial

Entertainment or Health? Exploring the Internet Usage Patterns of the Urban Poor: A Secondary Analysis of a Randomized Controlled Trial

Entertainment or Health? Exploring the Internet Usage Patterns of the Urban Poor: A Secondary Analysis of a Randomized Controlled Trial

Authors of this article:

Rachel F McCloud1 Author Orcid Image ;   Cassandra A Okechukwu2 Author Orcid Image ;   Glorian Sorensen1, 2 Author Orcid Image ;   Kasisomayajula Viswanath1, 2 Author Orcid Image
Article Authors Cited by (17) Tweetations (20) Metrics

Journals

  1. Pearce K, Rice R. Somewhat Separate and Unequal: Digital Divides, Social Networking Sites, and Capital-Enhancing Activities. Social Media + Society 2017;3(2) View
  2. Chauhan S, Gupta P, Jaiswal M. Factors inhibiting the internet adoption by base of the pyramid in India. Digital Policy, Regulation and Governance 2018;20(4):323 View
  3. Chu J, Wang M, Shen C, Viswanath K, Lam T, Chan S. How, When and Why People Seek Health Information Online: Qualitative Study in Hong Kong. Interactive Journal of Medical Research 2017;6(2):e24 View
  4. Aleman R, Milla-Matute C, Mora M, Gomez C, Blanco D, Lo Menzo E, Szomstein S, Rosenthal R. Google Trends as a resource for bariatric education: what do patients want to know?. Surgery for Obesity and Related Diseases 2020;16(12):1948 View
  5. Falcone R, Sapienza A. How COVID-19 Changed the Information Needs of Italian Citizens. International Journal of Environmental Research and Public Health 2020;17(19):6988 View
  6. Hagendorff T. Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning. Minds and Machines 2021;31(4):563 View
  7. Sheon A, Van Winkle B, Solad Y, Atreja A. An Algorithm for Digital Medicine Testing: A NODE.Health Perspective Intended to Help Emerging Technology Companies and Healthcare Systems Navigate the Trial and Testing Period prior to Full-Scale Adoption. Digital Biomarkers 2018;2(3):139 View
  8. Neumeyer X, Santos S, Morris M. Overcoming Barriers to Technology Adoption When Fostering Entrepreneurship Among the Poor: The Role of Technology and Digital Literacy. IEEE Transactions on Engineering Management 2021;68(6):1605 View
  9. 李 枝. Attachment Styles and Degree of Internet Use: A Meta-Analysis. Advances in Psychology 2022;12(02):459 View
  10. Hargittai E, Dobransky K. Old Dogs, New Clicks: Digital Inequality in Skills and Uses among Older Adults. Canadian Journal of Communication 2017;42(2):195 View
  11. Lee E, McCloud R, Viswanath K. Designing Effective eHealth Interventions for Underserved Groups: Five Lessons From a Decade of eHealth Intervention Design and Deployment. Journal of Medical Internet Research 2022;24(1):e25419 View
  12. Zhang L, Li S, Ren Y. Does internet use benefit the mental health of older adults? Empirical evidence from the China health and retirement longitudinal study. Heliyon 2024;10(3):e25397 View
  13. Boerkamp L, van Deursen A, Laar E, van der Zeeuw A, van der Graaf S. Exploring Barriers to and Outcomes of Internet Appropriation Among Households Living in Poverty: A Systematic Literature Review. Sage Open 2024;14(1) View
  14. Liao Y, Luo N, Aderinto Oluwaseyi N. Does internet use benefit health?—PSM-DID evidence from China’s CHARLS. PLOS ONE 2024;19(7):e0306393 View
  15. Peng L, Zhang N, Huang L. Care for Women's Health. Journal of Global Information Management 2024;32(1):1 View

Books/Policy Documents

  1. Gori A, Topino E. Handbook of the Behavior and Psychology of Disease. View