Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Randomized Controlled Trial
. 2011 Nov 24;13(4):e100.
doi: 10.2196/jmir.1579.

Web-based risk communication and planning in an obese population: exploratory study

Affiliations
Randomized Controlled Trial

Web-based risk communication and planning in an obese population: exploratory study

Anastasia Soureti et al. J Med Internet Res. .

Abstract

Background: A healthy diet, low in saturated fat and high in fiber, is a popular medical recommendation in preventing cardiovascular disease (CVD). One approach to motivating healthier eating is to raise individuals' awareness of their CVD risk and then help them form specific plans to change.

Objectives: The aim was to explore the combined impact of a Web-based CVD risk message and a fully automated planning tool on risk perceptions, intentions, and saturated fat intake changes over 4 weeks.

Methods: Of the 1187 men and women recruited online, 781 were randomly allocated to one of four conditions: a CVD risk message, the same CVD risk message paired with planning, planning on its own, and a control group. All outcome measures were assessed by online self-reports. Generalized linear modeling was used to analyze the data.

Results: Self-perceived consumption of low saturated fat foods (odds ratio 11.40, 95% CI 1.86-69.68) and intentions to change diet (odds ratio 21.20, 95% CI 2.6-172.4) increased more in participants allocated to the planning than the control group. No difference was observed between the four conditions with regard to percentage saturated fat intake changes. Contrary to our expectations, there was no difference in perceived and percentage saturated fat intake change between the CVD risk message plus planning group and the control group. Risk perceptions among those receiving the CVD risk message changed to be more in line with their age (change in slope(individual) = 0.075, P = .01; change in slope(comparative) = 0.100, P = .001), whereas there was no change among those who did not receive the CVD risk message.

Conclusion: There was no evidence that combining a CVD risk message with a planning tool reduces saturated fat intake more than either alone. Further research is required to identify ways in which matching motivational and volitional strategies can lead to greater behavior changes.

PubMed Disclaimer

Conflict of interest statement

This exploratory study was funded by Unilever, in which several authors are employees. Heart-Age is a commercially available product developed by Unilever and used as the basis of risk communication, while the planning tool is a non-commercially available research vehicle.

Figures

Figure 1
Figure 1
The Heart-Age risk message.
Figure 2
Figure 2
The planning tool.
Figure 3
Figure 3
Flow chart of recruitment, intervention, and follow-up.
Figure 4
Figure 4
Change in risk perceptions for Q1 and 2 split by Heart-Age level.

References

    1. US Department of Health and Human Services . Health, United States 2003: With Chartbook on Trends in the Health of Americans (Health United States) Washington, DC: Congress; 2003.
    1. Janz NK, Becker MH. The Health Belief Model: a decade later. Health Educ Q. 1984;11(1):1–47. - PubMed
    1. Schwarzer R. Modelling health behaviour change: how to predict and modify the adoption and maintenance of health behaviours. Appl Psychol Int Rev. 2008;57(1):1–29. doi: 10.1111/j.1464-0597.2007.00325.x. - DOI
    1. Soureti A, Hurling R, Murray P, van Mechelen W, Cobain M. Evaluation of a cardiovascular disease risk assessment tool for the promotion of healthier lifestyles. Eur J Cardiovasc Prev Rehabil. 2010 Oct;17(5):519–23. doi: 10.1097/HJR.0b013e328337ccd3. - DOI - PubMed
    1. Parkes G, Greenhalgh T, Griffin M, Dent R. Effect on smoking quit rate of telling patients their lung age: the Step2quit randomised controlled trial. BMJ. 2008 Mar 15;336(7644):598–600. doi: 10.1136/bmj.39503.582396.25. http://www.bmj.com/cgi/pmidlookup?view=long&pmid=18326503bmj.39503.582396.25 - DOI - PMC - PubMed

Publication types

Associated data