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
. 2013 Aug 9;15(8):e151.
doi: 10.2196/jmir.2387.

Determinants of participation in a web-based health risk assessment and consequences for health promotion programs

Affiliations

Determinants of participation in a web-based health risk assessment and consequences for health promotion programs

Maurice A J Niessen et al. J Med Internet Res. .

Abstract

Background: The health risk assessment (HRA) is a type of health promotion program frequently offered at the workplace. Insight into the underlying determinants of participation is needed to evaluate and implement these interventions.

Objective: To analyze whether individual characteristics including demographics, health behavior, self-rated health, and work-related factors are associated with participation and nonparticipation in a Web-based HRA.

Methods: Determinants of participation and nonparticipation were investigated in a cross-sectional study among individuals employed at five Dutch organizations. Multivariate logistic regression was performed to identify determinants of participation and nonparticipation in the HRA after controlling for organization and all other variables.

Results: Of the 8431 employees who were invited, 31.9% (2686/8431) enrolled in the HRA. The online questionnaire was completed by 27.2% (1564/5745) of the nonparticipants. Determinants of participation were some periods of stress at home or work in the preceding year (OR 1.62, 95% CI 1.08-2.42), a decreasing number of weekdays on which at least 30 minutes were spent on moderate to vigorous physical activity (OR(dayPA)0.84, 95% CI 0.79-0.90), and increasing alcohol consumption. Determinants of nonparticipation were less-than-positive self-rated health (poor/very poor vs very good, OR 0.25, 95% CI 0.08-0.81) and tobacco use (at least weekly vs none, OR 0.65, 95% CI 0.46-0.90).

Conclusions: This study showed that with regard to isolated health behaviors (insufficient physical activity, excess alcohol consumption, and stress), those who could benefit most from the HRA were more likely to participate. However, tobacco users and those who rated their overall health as less than positive were less likely to participate. A strong communication strategy, with recruitment messages that take reasons for nonparticipation into account, could prove to be an essential tool for organizations trying to reach employees who are less likely to participate.

Keywords: Internet; health promotion; health risk assessment; participation; reach; workplace.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: Coen K Van Kalken and Roderik A Kraaijenhagen are directors and co-owners of the NIPED Research Foundation. This institute developed the program studied. Maurice AJ Niessen is employed full-time as a researcher for the NIPED Research Foundation. All other authors received no additional funding for this study and report no competing interests.

Figures

Figure 1
Figure 1
Study flow chart.
Figure 2
Figure 2
Screenshot of the personal health risk profile page.

Similar articles

Cited by

References

    1. World Health Organization . Gaining Health. The European Strategy for the Prevention and Control of Noncommunicable Diseases. Geneva, Switzerland: WHO Press; 2006.
    1. Engbers L. Monitoring and Evaluation of Worksite Health Promotion Programs Current state of knowledge and implications for practice. Geneva, Switzerland: WHO Press; 2007.
    1. Robroek SJ, van Lenthe FJ, van Empelen P, Burdorf A. Determinants of participation in worksite health promotion programmes: a systematic review. Int J Behav Nutr Phys Act. 2009;6:26. doi: 10.1186/1479-5868-6-26. http://www.ijbnpa.org/content/6//26 - DOI - PMC - PubMed
    1. Colkesen EB, Niessen MA, Peek N, Vosbergen S, Kraaijenhagen RA, van Kalken CK, Tijssen JG, Peters RJ. Initiation of health-behaviour change among employees participating in a web-based health risk assessment with tailored feedback. J Occup Med Toxicol. 2011;6:5. doi: 10.1186/1745-6673-6-5. http://www.occup-med.com/content/6//5 - DOI - PMC - PubMed
    1. Ware LJ, Hurling R, Bataveljic O, Fairley BW, Hurst TL, Murray P, Rennie KL, Tomkins CE, Finn A, Cobain MR, Pearson DA, Foreyt JP. Rates and determinants of uptake and use of an internet physical activity and weight management program in office and manufacturing work sites in England: cohort study. J Med Internet Res. 2008;10(4):e56. doi: 10.2196/jmir.1108. http://www.jmir.org/2008/4/e56/ - DOI - PMC - PubMed

LinkOut - more resources