Evidence map›Paper›PMID 32763875›Full record

ArticleJournal of medical Internet research2020

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

Carissa Bonner, Natalie Raffoul, Tanya Battaglia, Julie Anne Mitchell, Carys Batcup, Bill Stavreski

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Biological age calculators to motivate lifestyle change: Environmental scan of online tools and evaluation of behaviour change techniques.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2023
    Article
  11. Share The Pressure.The British journal of cardiology · 2023
    Article
  12. Article
  13. Article
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Carissa BonnerSydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID 0000-0002-4797-6460
Natalie RaffoulNational Heart Foundation of Australia, Sydney, Australia.ORCID 0000-0001-9474-258X
Tanya BattagliaNational Heart Foundation of Australia, Melbourne, Australia.ORCID 0000-0001-7409-1820
Julie Anne MitchellNational Heart Foundation of Australia, Sydney, Australia.ORCID 0000-0002-6119-967X
Carys BatcupSydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID 0000-0003-1896-533X
Bill StavreskiNational Heart Foundation of Australia, Melbourne, Australia.ORCID 0000-0001-5287-5675
National Heart Foundation of Australia · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart 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.

objectiveThis study aims to report on national users of the Australian heart age calculator and the follow-up of a sample of users.

methodsThe 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.

resultsThere 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.

conclusionsMost 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.

Indexed as

AdultAgedCardiovascular DiseasesFemaleHealth BehaviorHumansInternetMaleMiddle AgedSurveys and QuestionnairesTelemedicinebehavior changecardiovascular disease preventioneHealthheart agerisk communication

Identifiers

PMID32763875
PMCPMC7442940
OpenAlexW3037001484

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.