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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20923, first published .
General Public’s Information-Seeking Patterns of Topics Related to Obesity: Google Trends Analysis

General Public’s Information-Seeking Patterns of Topics Related to Obesity: Google Trends Analysis

General Public’s Information-Seeking Patterns of Topics Related to Obesity: Google Trends Analysis

Journals

  1. Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660 View
  2. Yoo S, Shin G, Kim S. Does Mukbang Watching Really Affect Obesity? : Focusing on the Factors Related to Health and Mukbang Watching. Korean Journal of Journalism & Communication Studies 2021;65(2):205 View
  3. Senecal C, Mahowald M, Lerman L, Lopes-Jimenez F, Lerman A. Increasing utility of Google Trends in monitoring cardiovascular disease. DIGITAL HEALTH 2021;7 View
  4. Simani L, Oron Y, Shapira U, Handzel O, Abu Eta R, Warshavsky A, Horowitz G, Muhanna N, Shilo S, Ungar O. Is Idiopathic Sudden Sensorineural Hearing Loss Seasonal?. Otology & Neurotology 2022;43(9):1016 View
  5. Fritsch C, Duong V, Chen L, Hunter D, McLachlan A, Ferreira P, Ferreira M. Use of Online Information in Musculoskeletal Conditions. JCR: Journal of Clinical Rheumatology 2022;28(3):162 View
  6. Wang Y, Jaidka K. Confirmation Bias in Seeking Climate Information: Employing Relative Search Volume to Predict Partisan Climate Opinions. Social Science Computer Review 2024;42(1):4 View
  7. Melián-Fleitas L, Franco-Pérez Á, Sanz-Valero J, Wanden-Berghe C. Population Interest in Information on Obesity, Nutrition, and Occupational Health and Its Relationship with the Prevalence of Obesity: An Infodemiological Study. Nutrients 2023;15(17):3773 View
  8. Zeid N, Street R, Leiner D, Scherr S. “I feel the weight of expectations”: how emotions and social norms shape news choices about superfood diets. Health & New Media Research 2024;8(1):45 View
  9. Almenara C, Gulec H. Uncovering the Top Non-Advertising Weight Loss Websites on Google: A Data-mining Approach (Preprint). JMIR Infodemiology 2023 View