Literature DB >> 26251465

Is the "Heart Age" Concept Helpful or Harmful Compared to Absolute Cardiovascular Disease Risk? An Experimental Study.

Carissa Bonner1,2, Jesse Jansen1,2, Ben R Newell3, Les Irwig1, Armando Teixeira-Pinto1, Paul Glasziou1,4, Jenny Doust1,4, Shannon McKinn1,2, Kirsten McCaffery1,2.   

Abstract

BACKGROUND: Cardiovascular disease (CVD) prevention guidelines are generally based on the absolute risk of a CVD event, but there is increasing interest in using 'heart age' to motivate lifestyle change when absolute risk is low. Previous studies have not compared heart age to 5-year absolute risk, or investigated the impact of younger heart age, graphical format, and numeracy.
OBJECTIVE: Compare heart age versus 5-year absolute risk on psychological and behavioral outcomes.
DESIGN: 2 (heart age, absolute risk) × 3 (text only, bar graph, line graph) experiment.
SETTING: Online. PARTICIPANTS: 570 Australians aged 45-64 years, not taking CVD-related medication. INTERVENTION: CVD risk assessment. MEASUREMENTS: Intention to change lifestyle, recall, risk perception, emotional response, perceived credibility, and lifestyle behaviors after 2 weeks.
RESULTS: Most participants had lifestyle risk factors (95%) but low 5-year absolute risk (94%). Heart age did not improve lifestyle intentions and behaviors compared to absolute risk, was more often interpreted as a higher-risk category by low-risk participants (47% vs 23%), and decreased perceived credibility and positive emotional response. Overall, correct recall dropped from 65% to 24% after 2 weeks, with heart age recalled better than absolute risk at 2 weeks (32% vs 16%). These results were found across younger and older heart age results, graphical format, and numeracy. LIMITATIONS: Communicating CVD risk in a consultation rather than online may produce different results.
CONCLUSIONS: There is no evidence that heart age motivates lifestyle change more than 5-year absolute risk in individuals with low CVD risk. Five-year absolute risk may be a better way to explain CVD risk, because it is more credible, does not inflate risk perception, and is consistent with clinical guidelines that base lifestyle and medication recommendations on absolute risk.
© The Author(s) 2015.

Entities:  

Keywords:  behaviour change; cardiovascular disease; lifestyle change; prevention; risk assessment; risk communication; risk perception

Mesh:

Year:  2015        PMID: 26251465     DOI: 10.1177/0272989X15597224

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  9 in total

1.  Is the NHS 'Heart Age Test' too much medicine?

Authors:  Carissa Bonner; Shannon McKinn; Kirsten McCaffrey; Paul Glasziou; Les Irwig; Jenny Doust; Jesse Jansen; Katy Bell
Journal:  Br J Gen Pract       Date:  2019-10-31       Impact factor: 5.386

2.  Should heart age calculators be used alongside absolute cardiovascular disease risk assessment?

Authors:  Carissa Bonner; Katy Bell; Jesse Jansen; Paul Glasziou; Les Irwig; Jenny Doust; Kirsten McCaffery
Journal:  BMC Cardiovasc Disord       Date:  2018-02-07       Impact factor: 2.298

3.  Implementing cardiovascular disease prevention guidelines to translate evidence-based medicine and shared decision making into general practice: theory-based intervention development, qualitative piloting and quantitative feasibility.

Authors:  Carissa Bonner; Michael Anthony Fajardo; Jenny Doust; Kirsten McCaffery; Lyndal Trevena
Journal:  Implement Sci       Date:  2019-08-30       Impact factor: 7.327

Review 4.  Interventions Using Heart Age for Cardiovascular Disease Risk Communication: Systematic Review of Psychological, Behavioral, and Clinical Effects.

Authors:  Carissa Bonner; Carys Batcup; Samuel Cornell; Michael Anthony Fajardo; Anna L Hawkes; Lyndal Trevena; Jenny Doust
Journal:  JMIR Cardio       Date:  2021-11-05

Review 5.  Cardiovascular risk communication strategies in primary prevention. A systematic review with narrative synthesis.

Authors:  Stacey D Schulberg; Amy V Ferry; Kai Jin; Lucy Marshall; Lis Neubeck; Fiona E Strachan; Nicholas L Mills
Journal:  J Adv Nurs       Date:  2022-06-19       Impact factor: 3.057

6.  The response to receiving phenotypic and genetic coronary heart disease risk scores and lifestyle advice - a qualitative study.

Authors:  Guy Shefer; Barbora Silarova; Juliet Usher-Smith; Simon Griffin
Journal:  BMC Public Health       Date:  2016-12-03       Impact factor: 3.295

7.  Cardiovascular Disease Risk Assessment in the United States and Low- and Middle-Income Countries Using Predicted Heart/Vascular Age.

Authors:  Duke Appiah; Benjamin D Capistrant
Journal:  Sci Rep       Date:  2017-11-30       Impact factor: 4.379

8.  Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review.

Authors:  Carissa Bonner; Michael Anthony Fajardo; Samuel Hui; Renee Stubbs; Lyndal Trevena
Journal:  J Med Internet Res       Date:  2018-02-01       Impact factor: 5.428

9.  Experiences of a National Web-Based Heart Age Calculator for Cardiovascular Disease Prevention: User Characteristics, Heart Age Results, and Behavior Change Survey.

Authors:  Carissa Bonner; Natalie Raffoul; Tanya Battaglia; Julie Anne Mitchell; Carys Batcup; Bill Stavreski
Journal:  J Med Internet Res       Date:  2020-08-07       Impact factor: 5.428

  9 in total

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