Published on in Vol 15, No 8 (2013): August

Using the Internet to Help With Diet, Weight, and Physical Activity: Results From the Health Information National Trends Survey (HINTS)

Using the Internet to Help With Diet, Weight, and Physical Activity: Results From the Health Information National Trends Survey (HINTS)

Using the Internet to Help With Diet, Weight, and Physical Activity: Results From the Health Information National Trends Survey (HINTS)

Journals

  1. Modrego-Pardo I, Solá-Izquierdo E, Morillas-Ariño C. Tendencia de la población española de búsqueda en internet sobre información relacionada con diferentes dietas. Endocrinología, Diabetes y Nutrición 2020;67(7):431 View
  2. Deitz D, Cook R, Hersch R, Leaf S. Heart Healthy Online. Journal of Occupational & Environmental Medicine 2014;56(5):547 View
  3. . Manuscripts Reviewed for the 2014 Yearbook. Diabetes Technology & Therapeutics 2015;17(S1):S-134 View
  4. Peterson L, Thompson S. Webwise: Using Existing Habits to Combat Meal Planning Challenges. AADE in Practice 2018;6(1):14 View
  5. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
  6. Dempsey A, Maertens J, Beaty B, O'Leary S. Understanding How Different Recruitment Strategies Impact Parent Engagement With an iPad-Based Intervention to Provide Personalized Information About Adolescent Vaccines. Journal of Adolescent Health 2015;56(5):S7 View
  7. Cardel M, Chavez S, Bian J, Peñaranda E, Miller D, Huo T, Modave F. Accuracy of weight loss information in Spanish search engine results on the internet. Obesity 2016;24(11):2422 View
  8. Bach R, Wenz A, Borsci S. Studying health-related internet and mobile device use using web logs and smartphone records. PLOS ONE 2020;15(6):e0234663 View
  9. Carroll J, Moorhead A, Bond R, LeBlanc W, Petrella R, Fiscella K. Who Uses Mobile Phone Health Apps and Does Use Matter? A Secondary Data Analytics Approach. Journal of Medical Internet Research 2017;19(4):e125 View
  10. Modave F, Shokar N, Peñaranda E, Nguyen N. Analysis of the Accuracy of Weight Loss Information Search Engine Results on the Internet. American Journal of Public Health 2014;104(10):1971 View
  11. Sharon A, Baram-Tsabari A. The experts’ perspective of “ask-an-expert”: An interview-based study of online nutrition and vaccination outreach. Public Understanding of Science 2020;29(3):252 View
  12. Kowalski C, Kahana E, Kuhr K, Ansmann L, Pfaff H. Changes Over Time in the Utilization of Disease-Related Internet Information in Newly Diagnosed Breast Cancer Patients 2007 to 2013. Journal of Medical Internet Research 2014;16(8):e195 View
  13. Faith J, Thorburn S, Smit E. Body mass index and the use of the Internet for health information. Health Education Journal 2016;75(1):94 View
  14. Mack D, Wilson P, Crouch M, Gunnell K. Evaluating the quality and accuracy of online physical activity resources for individuals living with osteoporosis. Educational Gerontology 2015:1 View
  15. Helm J, Jones R. Practice Paper of the Academy of Nutrition and Dietetics: Social Media and the Dietetics Practitioner: Opportunities, Challenges, and Best Practices. Journal of the Academy of Nutrition and Dietetics 2016;116(11):1825 View
  16. Rollo M, Burrows T, Vincze L, Harvey J, Collins C, Hutchesson M. Cost evaluation of providing evidence‐based dietetic services for weight management in adults: In‐person versuseHealth delivery. Nutrition & Dietetics 2018;75(1):35 View
  17. Senkowski V, Branscum P. How College Students Search the Internet for Weight Control and Weight Management Information: An Observational Study. American Journal of Health Education 2015;46(4):231 View
  18. Kent E, Prestin A, Gaysynsky A, Galica K, Rinker R, Graff K, Chou W. “Obesity is the New Major Cause of Cancer”: Connections Between Obesity and Cancer on Facebook and Twitter. Journal of Cancer Education 2016;31(3):453 View
  19. Lee Y, Boden-Albala B, Jia H, Wilcox A, Bakken S. The Association Between Online Health Information–Seeking Behaviors and Health Behaviors Among Hispanics in New York City: A Community-Based Cross-Sectional Study. Journal of Medical Internet Research 2015;17(11):e261 View
  20. Elaheebocus S, Weal M, Morrison L, Yardley L. Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review. Journal of Medical Internet Research 2018;20(2):e20 View
  21. Modrego-Pardo I, Solá-Izquierdo E, Morillas-Ariño C. Spanish population trends in Internet searches for information on different diets. Endocrinología, Diabetes y Nutrición (English ed.) 2020;67(7):431 View
  22. Bourke B, Baker D, Braakhuis A. Social Media as a Nutrition Resource for Athletes: A Cross-Sectional Survey. International Journal of Sport Nutrition and Exercise Metabolism 2019;29(4):364 View
  23. Hong Y, Cho J. Has the Digital Health Divide Widened? Trends of Health-Related Internet Use Among Older Adults From 2003 to 2011. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences 2016:gbw100 View
  24. Zhang Y, Wang P. Interactions and user‐perceived helpfulness in diet information social questions & answers. Health Information & Libraries Journal 2016;33(4):295 View
  25. Teo A, Marsh H, Liebow S, Chen J, Forsberg C, Nicolaidis C, Saha S, Dobscha S. Help-Seeking on Facebook Versus More Traditional Sources of Help: Cross-Sectional Survey of Military Veterans. Journal of Medical Internet Research 2018;20(2):e62 View
  26. Guo Y, Bian J, Leavitt T, Vincent H, Vander Zalm L, Teurlings T, Smith M, Modave F. Assessing the Quality of Mobile Exercise Apps Based on the American College of Sports Medicine Guidelines: A Reliable and Valid Scoring Instrument. Journal of Medical Internet Research 2017;19(3):e67 View
  27. Young C, Campolonghi S, Ponsonby S, Dawson S, O'Neil A, Kay-Lambkin F, McNaughton S, Berk M, Jacka F. Supporting Engagement, Adherence, and Behavior Change in Online Dietary Interventions. Journal of Nutrition Education and Behavior 2019;51(6):719 View
  28. Hong Y, Cho J. Assessment of eHealth behaviors in national surveys: a systematic review of instruments. Journal of the American Medical Informatics Association 2018;25(12):1675 View
  29. Spooner K, Salemi J, Salihu H, Zoorob R. Disparities in perceived patient–provider communication quality in the United States: Trends and correlates. Patient Education and Counseling 2016;99(5):844 View
  30. Barbara A, Dobbins M, Haynes R, Iorio A, Lavis J, Raina P, Levinson A. The McMaster Optimal Aging Portal: Usability Evaluation of a Unique Evidence-Based Health Information Website. JMIR Human Factors 2016;3(1):e14 View
  31. Pollard C, Pulker C, Meng X, Kerr D, Scott J. Who Uses the Internet as a Source of Nutrition and Dietary Information? An Australian Population Perspective. Journal of Medical Internet Research 2015;17(8):e209 View
  32. Tatara N, Hammer H, Andreassen H, Mirkovic J, Kjøllesdal M. The Association Between Commonly Investigated User Factors and Various Types of eHealth Use for Self-Care of Type 2 Diabetes: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway. JMIR Public Health and Surveillance 2017;3(4):e68 View
  33. Shuter J, Morales D, Considine-Dunn S, An L, Stanton C. Feasibility and Preliminary Efficacy of a Web-Based Smoking Cessation Intervention for HIV-Infected Smokers. JAIDS Journal of Acquired Immune Deficiency Syndromes 2014;67(1):59 View
  34. Jahangiry L, Shojaeizadeh D, Abbasalizad Farhangi M, Yaseri M, Mohammad K, Najafi M, Montazeri A. Interactive web-based lifestyle intervention and metabolic syndrome: findings from the Red Ruby (a randomized controlled trial). Trials 2015;16(1) View
  35. 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
  36. Fassier P, Chhim A, Andreeva V, Hercberg S, Latino-Martel P, Pouchieu C, Touvier M. Seeking health- and nutrition-related information on the Internet in a large population of French adults: results of the NutriNet-Santé study. British Journal of Nutrition 2016;115(11):2039 View
  37. Wangberg S, Sørensen T, Andreassen H. Using the Internet to Support Exercise and Diet: A Stratified Norwegian Survey. Medicine 2.0 2015;4(2):e3 View
  38. Burrows T, Hutchesson M, Chai L, Rollo M, Skinner G, Collins C. Nutrition Interventions for Prevention and Management of Childhood Obesity: What Do Parents Want from an eHealth Program?. Nutrients 2015;7(12):10469 View
  39. Brown S, Land D, Johnson C, Miller K. Expert Panel Consensus for and Analysis of Key Attributes on Websites Devoted to Weight Control. American Journal of Health Education 2014;45(6):322 View
  40. Kim Y, Huang J, Emery S. Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection. Journal of Medical Internet Research 2016;18(2):e41 View
  41. Robillard J, Jun J, Lai J, Feng T. The QUEST for quality online health information: validation of a short quantitative tool. BMC Medical Informatics and Decision Making 2018;18(1) View
  42. Seckin G, Hughes S. Patient-Reported Outcomes in a Nationally Representative Sample of Older Internet Users: Cross-sectional Survey. JMIR Aging 2021;4(4):e16006 View
  43. Paige S, Black D, Mattson M, Coster D, Stellefson M. Plain Language to Communicate Physical Activity Information: A Website Content Analysis. Health Promotion Practice 2019;20(3):363 View
  44. Hong Y, Zhou Z, Fang Y, Shi L. The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications. Journal of Medical Internet Research 2017;19(9):e317 View
  45. Aghasi M, Matinfar A, Golzarand M, Salari-Moghaddam A, Ebrahimpour-Koujan S. Internet Use in Relation to Overweight and Obesity: A Systematic Review and Meta-Analysis of Cross-Sectional Studies. Advances in Nutrition 2020;11(2):349 View
  46. Soroya S, Nazir M, Faiola A. Impact of health-related internet use on disease management behavior of chronic patients: Mediating role of perceived credibility of online information. Information Development 2022:026666692211446 View
  47. Midthassel T, Hansen A, Aslam M. Are lifestyle changes from online information associated with discussing the information with a doctor? A cross -sectional study. PLOS ONE 2021;16(12):e0261471 View
  48. Zhong H, Xu H, Guo E, Li J, Wang Z. Can internet use change sport participation behavior among residents? Evidence from the 2017 Chinese General Social Survey. Frontiers in Public Health 2022;10 View
  49. Tami S. Perceived Effects of Socio-Economics and Social Media Variables on Body Mass Index in Saudi Young Adults. Cureus 2022 View
  50. Xin M, Mo P, Li J, Liu X, Jiang H, Chen Y, Ma L, Lau J. Smartphone non-users experience disproportionately higher psychological distress than their counterparts: Mediations via psychosocial resources in a large sample of college students in China. Journal of Affective Disorders 2022;296:41 View
  51. Ruani M, Reiss M. Susceptibility to COVID-19 Nutrition Misinformation and Eating Behavior Change during Lockdowns: An International Web-Based Survey. Nutrients 2023;15(2):451 View
  52. Koppenburg C, Saxer F, Vach W, Lüchtenberg D, Goesele A. Eating disorder risks and awareness among female elite cyclists: an anonymous survey. BMC Sports Science, Medicine and Rehabilitation 2022;14(1) View
  53. Guo B, Zhang X, Zhang R, Chen G. The Association between Internet Use and Physical Exercise among Middle-Aged and Older Adults—Evidence from China. International Journal of Environmental Research and Public Health 2022;19(24):16401 View
  54. Spaccarotella K, Gido J. Food Blogs to Family Meals. CIN: Computers, Informatics, Nursing 2022;40(5):350 View
  55. Xiong Z, Zhang L, Li Z, Xu W, Zhang Y, Ye T. Frequency of Online Health Information Seeking and Types of Information Sought Among the General Chinese Population: Cross-sectional Study. Journal of Medical Internet Research 2021;23(12):e30855 View
  56. Raja H, Fitzpatrick N. Assessing the readability and quality of online information on Bell's palsy. The Journal of Laryngology & Otology 2023;137(10):1130 View
  57. Amuta A, Jr. D. Avoiding Inferential Errors in Public Health Research: The Statistical Modelling of Physical Activity Behavior. International Journal of Statistics in Medical Research 2014;3(4):384 View
  58. Oba T, Takano K, Katahira K, Kimura K. Use Patterns of Smartphone Apps and Wearable Devices Supporting Physical Activity and Exercise: Large-Scale Cross-Sectional Survey. JMIR mHealth and uHealth 2023;11:e49148 View
  59. Miyawaki R, Oka K, Otsuki A, Saito J, Yaguchi-saito A, Kuchiba A, Fujimori M, Kreps G, Shimazu T. Trust in Mass Media as Sources of Cancer Information: Findings from a Nationally Representative Cross-Sectional Survey in Japan. Journal of Health Communication 2024;29(2):143 View
  60. Oh E, Bae S. The relationship between the digital literacy and healthy aging of the elderly in Korea. Current Psychology 2024 View
  61. Liu Z, Liao Y, Hwang C, Rethorst C, Zhang X. Associations of online health information seeking with health behaviors of cancer survivors. DIGITAL HEALTH 2024;10 View

Books/Policy Documents

  1. MacDonald S, Rizzone K, Vengal S. Technology and Adolescent Health. View
  2. Asiri Y, Millard D, Weal M. Interactive Mobile Communication Technologies and Learning. View
  3. Robinson S, Troosters T, Moy M. Enhancing Patient Engagement in Pulmonary Healthcare. View
  4. Esteves D, Pinheiro P, O'Hara K, Brás R. Encyclopedia of E-Health and Telemedicine. View