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

Participatory Medicine & E-Patients (773) Web-based and Mobile Health Interventions (3297) Demographics of Users, Social & Digital Divide (739) Public (e)Health, Digital Epidemiology and Public Health Informatics (725)

Published on in Vol 16, No 9 (2014): September

Web-Based Self-Assessment Health Tools: Who Are the Users and What Is the Impact of Missing Input Information?

Web-Based Self-Assessment Health Tools: Who Are the Users and What Is the Impact of Missing Input Information?

Web-Based Self-Assessment Health Tools: Who Are the Users and What Is the Impact of Missing Input Information?

Authors of this article:

Nicole Neufingerl1 Author Orcid Image ;   Mark R Cobain2 Author Orcid Image ;   Rachel S Newson1 Author Orcid Image
Article Authors Cited by (21) Tweetations (12) Metrics

Journals

  1. Singer R, Feaster D, Stoutenberg M, Hlaing W, Pereyra M, Abel S, Pollack H, Gellman M, Schneiderman N, Metsch L. Dentists’ willingness to screen for cardiovascular disease in the dental care setting: Findings from a nationally representative survey. Community Dentistry and Oral Epidemiology 2019;47(4):299 View
  2. Bonner C, Fajardo M, 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 View
  3. Gómez-Sánchez M, Gómez-Sánchez L, Patino-Alonso M, Alonso-Domínguez R, Sánchez-Aguadero N, Recio-Rodríguez J, González-Sánchez J, García-Ortiz L, Gómez-Marcos M. Relación del envejecimiento vascular saludable con los estilos de vida y el síndrome metabólico en población general española. Estudio EVA. Revista Española de Cardiología 2021;74(10):854 View
  4. Xesfingi S, Vozikis A. eHealth Literacy: In the Quest of the Contributing Factors. interactive Journal of Medical Research 2016;5(2):e16 View
  5. Groenewegen K, den Ruijter H, Pasterkamp G, Polak J, Bots M, Peters S. 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 View
  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) View
  7. Bonner C, Raffoul N, Battaglia T, Mitchell J, Batcup C, Stavreski B. Experiences of a National Web-Based Heart Age Calculator for Cardiovascular Disease Prevention: User Characteristics, Heart Age Results, and Behavior Change Survey. Journal of Medical Internet Research 2020;22(8):e19028 View
  8. Appiah D, Capistrant B. Cardiovascular Disease Risk Assessment in the United States and Low- and Middle-Income Countries Using Predicted Heart/Vascular Age. Scientific Reports 2017;7(1) View
  9. Gómez-Sánchez M, Gómez-Sánchez L, Patino-Alonso M, Alonso-Domínguez R, Sánchez-Aguadero N, Recio-Rodríguez J, González-Sánchez J, García-Ortiz L, Gómez-Marcos M. Relationship of healthy vascular aging with lifestyle and metabolic syndrome in the general Spanish population. The EVA study. Revista Española de Cardiología (English Edition) 2021;74(10):854 View
  10. Riley V, Gidlow C, Fedorowicz S, Lagord C, Thompson K, Woolner J, Taylor R, Clark J, Lloyd-Harris A. The Impact and Perception of England’s Web-Based Heart Age Test of Cardiovascular Disease Risk: Mixed Methods Study. JMIR Cardio 2023;7:e39097 View
  11. Bonner C, Batcup C, Fajardo M, Trevena L. Biological age calculators to motivate lifestyle change: Environmental scan of online tools and evaluation of behaviour change techniques. Health Promotion Journal of Australia 2023;34(1):202 View
  12. Bonner C, Batcup C, Ayre J, Cvejic E, Trevena L, McCaffery K, Doust J. The Impact of Health Literacy–Sensitive Design and Heart Age in a Cardiovascular Disease Prevention Decision Aid: Randomized Controlled Trial and End-User Testing. JMIR Cardio 2022;6(1):e34142 View
  13. Guzman-Vilca W, Quispe-Villegas G, Carrillo-Larco R. Predicted heart age profile across 41 countries: A cross-sectional study of nationally representative surveys in six world regions. eClinicalMedicine 2022;52:101688 View
  14. Olusan A, Barr S, Cobain M, Whelan H. The Development and Evaluation of “Life Age”—a Primary Prevention and Population-Focused Risk Communication Tool: Feasibility Study With a Single-Arm Repeated Measures Design. JMIR Formative Research 2022;6(10):e37385 View
  15. Gómez-Sánchez L, Rodríguez-Sánchez E, Ramos R, Marti R, Gómez-Sánchez M, Lugones-Sánchez C, Tamayo-Morales O, Sánchez S, Rigo F, García-Ortiz L, Gómez-Marcos M, Martí R, Parramon D, Ponjoan A, Quesada M, Garcia-Gil M, Sidera M, Camós L, Montesinos F, Montoya I, López C, Agell A, Pagès N, Gil I, Maria-Castro A, Frontera G, Rotger A, Feuerbach N, Pons S, Garcia N, Guillaumet J, Llull M, Gutierrez M, Agudo-Conde C, Gómez-Sanchez L, Castaño-Sanchez C, Rodriguez-Martín C, Sanchez-Salgado B, de Cabo-Laso A, Rodriguez-Sanchez E, MaderueloFernandez J, Ramos-Delgado E, Patino-Alonso C, Recio-Rod-riguez J, Gomez-Marcos M, Garcia-Ortiz L. Association of physical activity with vascular aging in a population with intermediate cardiovascular risk, analysis by sex: MARK study. Biology of Sex Differences 2022;13(1) View
  16. Bonner C, Batcup C, Cornell S, Fajardo M, Hawkes A, Trevena L, Doust J. Interventions Using Heart Age for Cardiovascular Disease Risk Communication: Systematic Review of Psychological, Behavioral, and Clinical Effects. JMIR Cardio 2021;5(2):e31056 View
  17. Abqari U, van 't Noordende A, Richardus J, Isfandiari M, Korfage I. Strategies to promote the use of online health applications for early detection and raising awareness of chronic diseases among members of the general public: A systematic literature review. International Journal of Medical Informatics 2022;162:104737 View
  18. Starnecker F, Reimer L, Nissen L, Jovanović M, Kapsecker M, Rospleszcz S, von Scheidt M, Krefting J, Krüger N, Perl B, Wiehler J, Sun R, Jonas S, Schunkert H. Guideline-Based Cardiovascular Risk Assessment Delivered by an mHealth App: Development Study. JMIR Cardio 2023;7:e50813 View
  19. Patel R, Lagord C, Waterall J, Moth M, Knapton M, Deanfield J. Online self-assessment of cardiovascular risk using the Joint British Societies (JBS3)-derived heart age tool: a descriptive study. BMJ Open 2016;6(9):e011511 View
  20. Ouedraogo I, Some B, Benedikter R, Diallo G. Health and e-Health Literacy of Diabetic Patients in Low-Income Countries: a perspective from Guinea and Burkina Faso (Preprint). JMIR Diabetes 2023 View

Books/Policy Documents

  1. Kibler J, Ma M, Hrzich J, Roas R. Lifestyle in Heart Health and Disease. View