Key result
Web-based heart age calculator use links to self-reported lifestyle improvements in ~63% of survey respondents.
Why the study?
Heart age calculators engage the public in CVD prevention, but prior small experimental studies showed mixed effects and population studies lacked evaluation of psychological and behavioral outcomes.
Does a web-based heart age calculator and email follow-up improve self-reported lifestyle behaviors and clinical checks in the general population?
Observational (n=30,279)
Does a web-based heart age calculator and email follow-up improve self-reported lifestyle behaviors and clinical checks in the general population?
A web-based heart age calculator with email follow-up prompted high recall rates, strong emotional responses, and self-reported lifestyle improvements and clinical checks in a highly engaged user sample.
May support web-based heart age feedback for self-reported changes in engaged users; hypothesis-generating and should not yet change practice.
BACKGROUND Heart age calculators are used worldwide to engage the public in cardiovascular disease (CVD) prevention. Experimental studies with small samples have found mixed effects of these tools, and previous reports of population samples that used web-based heart age tools have not evaluated psychological and behavioral outcomes. OBJECTIVE This study aims to report on national users of the Australian heart age calculator and the follow-up of a sample of users. METHODS The heart age calculator was launched in 2019 by the National Heart Foundation of Australia. Heart age results were calculated for all users and recorded for those who signed up for a heart age report and an email follow-up over 10 weeks, after which a survey was conducted. CVD risk factors, heart age results, and psychological and behavioral questions were analyzed using descriptive statistics and chi-square tests. Open responses were thematically coded. RESULTS There were 361,044 anonymous users over 5 months, of which 30,279 signed up to receive a heart age report and 1303 completed the survey. There were more women (19,840/30,279, 65.52%), with an average age of 55.67 (SD 11.43) years, and most users knew blood pressure levels (20,279/30,279, 66.97%) but not cholesterol levels (12,267/30,279, 40.51%). The average heart age result was 4.61 (SD 4.71) years older than the current age, including (23,840/30,279, 78.73%) with an older heart age. For the survey, most users recalled their heart age category (892/1303, 68.46%), and many reported lifestyle improvements (diet 821/1303, 63.01% and physical activity 809/1303, 62.09%). People with an older heart age result were more likely to report a doctor visit (538/1055, 51.00%). Participants indicated strong emotional responses to heart age, both positive and negative. CONCLUSIONS Most Australian users received an older heart age as per international and UK heart age tools. Heart age reports with follow-up over 10 weeks prompted strong emotional responses, high recall rates, and self-reported lifestyle changes and clinical checks for more than half of the survey respondents. These findings are based on a more engaged user sample than previous research, who were more likely to know blood pressure and cholesterol values. Further research is needed to determine which aspects are most effective in initiating and maintaining lifestyle changes. The results confirm high public interest in heart age tools, but additional support is needed to help users understand the results and take appropriate action.
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Bonner et al. (2020) conducted an observational in Cardiovascular disease prevention (n=30,279). Web-based heart age calculator and email follow-up was evaluated on Heart age results, psychological and behavioral outcomes. Use of a national web-based heart age calculator with a 10-week follow-up prompted self-reported lifestyle improvements in diet (63.01%) and physical activity (62.09%) among survey respondents.
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