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Journal of Medical Internet Research

Citing this Article

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Published on 05.05.14 in Vol 16, No 5 (2014): May

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

Works citing "I Don't Believe It, But I'd Better Do Something About It: Patient Experiences of Online Heart Age Risk Calculators"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3190):

(note that this is only a small subset of citations)

  1. Bonner C, Fajardo MA, Hui S, Stubbs R, Trevena L. Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review. Journal of Medical Internet Research 2018;20(2):e29
    CrossRef
  2. Damman OC, Vonk SI, van den Haak MJ, van Hooijdonk CM, Timmermans DR. The effects of infographics and several quantitative versus qualitative formats for cardiovascular disease risk, including heart age, on people’s risk understanding. Patient Education and Counseling 2018;
    CrossRef
  3. Bonner C, McKinn S, Lau A, Jansen J, Doust J, Trevena L, McCaffery K. Heuristics and biases in cardiovascular disease prevention: How can we improve communication about risk, benefits and harms?. Patient Education and Counseling 2018;101(5):843
    CrossRef
  4. Keyworth C, Nelson PA, Bundy C, Pye SR, Griffiths CEM, Cordingley L. Does message framing affect changes in behavioural intentions in people with psoriasis? A randomized exploratory study examining health risk communication. Psychology, Health & Medicine 2018;:1
    CrossRef
  5. Manuel DG, Abdulaziz KE, Perez R, Beach S, Bennett C. Personalized risk communication for personalized risk assessment: Real world assessment of knowledge and motivation for six mortality risk measures from an online life expectancy calculator. Informatics for Health and Social Care 2018;43(1):42
    CrossRef
  6. Bonner C, Bell K, Jansen J, Glasziou P, Irwig L, Doust J, McCaffery K. Should heart age calculators be used alongside absolute cardiovascular disease risk assessment?. BMC Cardiovascular Disorders 2018;18(1)
    CrossRef
  7. Appiah D, Capistrant BD. Cardiovascular Disease Risk Assessment in the United States and Low- and Middle-Income Countries Using Predicted Heart/Vascular Age. Scientific Reports 2017;7(1)
    CrossRef
  8. Damman OC, Bogaerts NMM, van den Haak MJ, Timmermans DRM. How lay people understand and make sense of personalized disease risk information. Health Expectations 2017;20(5):973
    CrossRef
  9. Groenewegen K, den Ruijter H, Pasterkamp G, Polak J, Bots M, Peters SA. Vascular age to determine cardiovascular disease risk: A systematic review of its concepts, definitions, and clinical applications. European Journal of Preventive Cardiology 2016;23(3):264
    CrossRef
  10. Goyal S, Morita PP, Picton P, Seto E, Zbib A, Cafazzo JA. Uptake of a Consumer-Focused mHealth Application for the Assessment and Prevention of Heart Disease: The <30 Days Study. JMIR mHealth and uHealth 2016;4(1):e32
    CrossRef
  11. Shefer G, Silarova B, Usher-Smith J, Griffin S. The response to receiving phenotypic and genetic coronary heart disease risk scores and lifestyle advice – a qualitative study. BMC Public Health 2016;16(1)
    CrossRef
  12. Reid RJ, Anderson ML, Fishman PA, McClure JB, Johnson RL, Catz SL, Green BB. Relationship between cardiovascular risk and lipid testing in one health care system: a retrospective cohort study. BMC Health Services Research 2015;15(1)
    CrossRef
  13. Thompson SG, Willeit P. UK Biobank comes of age. The Lancet 2015;386(9993):509
    CrossRef
  14. Bonner C, Jansen J, McKinn S, Irwig L, Doust J, Glasziou P, McCaffery K. Communicating cardiovascular disease risk: an interview study of General Practitioners’ use of absolute risk within tailored communication strategies. BMC Family Practice 2014;15(1)
    CrossRef