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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Infodemiology and Infoveillance (1274)

Published on in Vol 3, No 4 (2017): Oct-Dec

The Seasonal Periodicity of Healthy Contemplations About Exercise and Weight Loss: Ecological Correlational Study

The Seasonal Periodicity of Healthy Contemplations About Exercise and Weight Loss: Ecological Correlational Study

The Seasonal Periodicity of Healthy Contemplations About Exercise and Weight Loss: Ecological Correlational Study

Authors of this article:

Kenneth Michael Madden1, 2 Author Orcid Image
Article Authors Cited by (16) Tweetations (5) Metrics

Journals

  1. Madden K, Feldman B. Weekly, Seasonal, and Geographic Patterns in Health Contemplations About Sundown Syndrome: An Ecological Correlational Study. JMIR Aging 2019;2(1):e13302 View
  2. Teng Y, Huang S, Li Z, Xie Q, Zhang M, Lou Q, Wang F, Zou Y. Seasonal variation and trends in the Internet searches for losing weight: An infodemiological study. Obesity Research & Clinical Practice 2020;14(3):225 View
  3. Ganasegeran K, Ch’ng A, Aziz Z, Looi I. Population’s health information-seeking behaviors and geographic variations of stroke in Malaysia: an ecological correlation and time series study. Scientific Reports 2020;10(1) View
  4. Cavazzotto T, Ronque E, Vieira E, Queiroga M, Serassuelo Junior H. Social-Ecological Correlates of Regular Leisure-Time Physical Activity Practice among Adults. International Journal of Environmental Research and Public Health 2020;17(10):3619 View
  5. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  6. Waring M, Jake-Schoffman D, Holovatska M, Mejia C, Williams J, Pagoto S. Social Media and Obesity in Adults: a Review of Recent Research and Future Directions. Current Diabetes Reports 2018;18(6) View
  7. Kumar N, Pandey A, Garg N, Sampene E, Lavie C. Seasonal and Geographic Patterns in Seeking Cardiovascular Health Information: An Analysis of the Online Search Trends. Mayo Clinic Proceedings 2018;93(9):1185 View
  8. Almenara C, Machackova H, Smahel D. Sociodemographic, Attitudinal, and Behavioral Correlates of Using Nutrition, Weight Loss, and Fitness Websites: An Online Survey. Journal of Medical Internet Research 2019;21(4):e10189 View
  9. Dzaye O, Adelhoefer S, Boakye E, Blaha M. Cardiovascular-related health behaviors and lifestyle during the COVID-19 pandemic: An infodemiology study. American Journal of Preventive Cardiology 2021;5:100148 View
  10. Park M, Wang J, Bulwer B. Global Dieting Trends and Seasonality: Social Big-Data Analysis May Be a Useful Tool. Nutrients 2021;13(4):1069 View
  11. Fabbian F, Rodríguez-Muñoz P, López-Carrasco J, Cappadona R, Rodríguez-Borrego M, López-Soto P. Google Trends on Obesity, Smoking and Alcoholism: Global and Country-Specific Interest. Healthcare 2021;9(2):190 View
  12. Frazer J, Frazer G. Analysis of primary care prescription trends in England during the COVID-19 pandemic compared against a predictive model. Family Medicine and Community Health 2021;9(3):e001143 View
  13. Kamiński M, Kręgielska-Narożna M, Bogdański P. Seasonal variation in lifestyle behavior in Poland: Google searches and market sales analysis. BMC Public Health 2021;21(1) View
  14. Madden K, Feldman B. Anosmia-related internet search and the course of the first wave of the COVID-19 pandemic in the United States. Heliyon 2021;7(12):e08499 View
  15. Kim J, Park M. A New Body Weight Lifelog Outliers Generation Method: Reflecting Characteristics of Body Weight Data. Applied Sciences 2022;12(9):4726 View
  16. Murakami K, Shinozaki N, Okuhara T, McCaffrey T, Livingstone M. Prevalence and correlates of dietary and nutrition information seeking through various online and offline media sources among Japanese adults: an online cross-sectional study (Preprint). JMIR Public Health and Surveillance 2023 View