The DOI matches its Crossref record; 48 of the 49 references it cites were found in a registry or an index.
Characteristics of visitors and revisitors to an Internet-delivered computer-tailored lifestyle intervention implemented for use by the general public
Open accessAbstract
The Internet has become important for the delivery of behavior change interventions. This observational study examines how many people visited, registered and revisited a web-based computer-tailored intervention promoting heart-healthy behaviors when it is implemented for use by the general public. Among registered visitors, the association between visitors' characteristics and initiating, completing and revisiting the website and/or its behavior-specific modules was analyzed. Server statistics showed that 285 146 visitors from unique IP addresses landed on the home page in a 36-month period; of these, >50% left the intervention website within 30 s. In total, 81 574 (28.6%) visitors completed the registration procedure and gained access to the intervention; 99% of registered visitors initiated one module, 91% completed at least one module and 6% revisited the intervention. The majority of the registered visitors were women, medium to highly educated, with a body mass index (BMI) <25. Women, visitors aged 40-50 years, visitors with a medium educational level and visitors with a BMI <25 were more likely to initiate and finish the modules. It is concluded that a heart-healthy computer-tailored Internet program can reach substantial numbers of people, but additional research is needed to develop promotional strategies that reach the high-risk population, i.e. men, older and lower educated persons.
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“The bounce rate of 19.37% was also substantially lower than that observed in other interventions (eg, 32.9% in an intervention promoting sexual health, and 56.3% in an intervention promoting heart-healthy behaviors) [21,22], indicating that the home page was effective at engaging users.”
From Breaking open the black box: isolating the most potent features of a web and mobile phone-based intervention for depression, anxiety, and stress (2015) · cites this paper as [22]
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“However, as is common in nontherapist-assisted eMental Health interventions [22,25,26], frequency of program use decreased over the course of the intervention, emphasizing the need to identify program features that promote more regular program engagement.”
From Breaking open the black box: isolating the most potent features of a web and mobile phone-based intervention for depression, anxiety, and stress (2015) · cites this paper as [22]
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“other studies reported that only a minority of participants visited an intervention more than once [4,23].”
From Which Intervention Characteristics are Related to More Exposure to Internet-Delivered Healthy Lifestyle Promotion Interventions? A Systematic Review (2011) · cites this paper as [4]
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Cites
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Evaluating the public health impact of health promotion interventions: the RE-AIM framework.
Glasgow, R. E., Vogt, T. M., & Boles, S. M. (1999) · American Journal of Public Health · doi:10.2105/ajph.89.9.1322 · Cited by 7,217
Eysenbach, G. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.1.e11 · Cited by 2,524
Wendel‐Vos, W. (2003) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(03)00220-8 · Cited by 1,417
Lynch, J. W., Kaplan, G. A., & Salonen, J. T. (1997) · Social Science & Medicine · doi:10.1016/s0277-9536(96)00191-8 · Cited by 1,150
Rice, R. E. (2005) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2005.07.032 · Cited by 721
Tate, D. F., Jackvony, E. H., & Wing, R. R. (2003) · JAMA · doi:10.1001/jama.289.14.1833 · Cited by 666
Tailoring Health Messages: Customizing Communication With Computer Technology
Farrell, D. W., Rimer, B. K., Olevitch, L. R., Brennan, L. K., & Kreuter, M. W. (1999) · Cited by 635
Kroeze, W., Werkman, A., & Brug, J. (2006) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm3103_2 · Cited by 570
Website-Delivered Physical Activity Interventions
Vandelanotte, C., Spathonis, K. M., Eakin, E. G., & Owen, N. (2007) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.02.041 · Cited by 475
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1 of the 49 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- 2007, Health Education Research, 33, 385
- 2006, J ONLINE LEARN TEACH, 2, 73
- 2006, SEXUALITY RESEARCH SOCIAL POLICY A JOURNAL OF THE NSRC, 3, 52
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Sorted by citations
Items 101–147 of 147
Goorevich, A., Boucher, C., Schneider, J., Silva-Breen, H. L., Matheson, E. L., Tinoco, A., & LaVoi, N. M. (2023) · International Sport Coaching Journal · doi:10.1123/iscj.2023-0035 · Cited by 8
Stassen, G., Grieben, C., Froböse, I., & Schaller, A. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17072180 · Cited by 10
Coumans, J. M. J., Oenema, A., Bolman, C. A. W., & Lechner, L. (2021) · JMIR Formative Research · doi:10.2196/22390 · Cited by 7
“In general, these studies show that age, gender, employment status, a healthier BMI, and lifestyle have been linked to the start, visit and revisit, and use of web-based interventions [5-14].”
Self-citationSpaderna, H., & Sieverding, M. (2014) · Psychology Health & Medicine · doi:10.1080/13548506.2014.915330 · Cited by 6
Kyttälä, M., Sinkkonen, H., & Köiv, K. (2019) · International Journal of School & Educational Psychology · doi:10.1080/21683603.2019.1640148 · Cited by 9
Vereecken, C. A., Covents, M., Maes, L., & Moyson, T. (2012) · Public Health Nutrition · doi:10.1017/s1368980012003448 · Cited by 6
“Moreover, congruent with other Internet-based nutrition studies (16,45,46) , most participants had a higher education level.”
ResultReece, J. C., Yu, M., Bevens, W., Simpson, S., Davenport, R. A., Jelinek, G. A., & Neate, S. L. (2024) · Journal of Medical Internet Research · doi:10.2196/58253 · Cited by 5
“This was similar to other studies that found that middle-aged people were most likely to complete web-based lifestyle-related health interventions [54,60].”
van Genugten, L. (2012) · Cited by 5
Yonchuk, J. G., Mohan, D., LeBrasseur, N. K., George, A. R., Singh, S. J., & Tal‐Singer, R. (2021) · Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation · doi:10.15326/jcopdf.2020.0194 · Cited by 5
Hanusová, J., Štěpánková, T., Tomanová, J., Dočkalová, S., & Papežová, H. (2015) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-4666-9522-1.ch017 · Cited by 5
POLISH EMPLOYEES ON THE INTERNET AS A SOURCE OF INFORMATION ABOUT HEALTH AND DISEASE
Korzeniowska, E., & Puchalski, K. (2014) · Medycyna Pracy · doi:10.13075/mp.5893.2014.014 · Cited by 5
Who uses online interventions for problem drinkers?
Cunningham, J. A., Wild, T. C., & Humphreys, K. (2011) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2011.03.003 · Cited by 4
Analysis of user behavior on the website of a university eye hospital in Germany
Lang, S. J., Böhringer, D., Bach, M., & Reinhard, T. (2020) · Medicine · doi:10.1097/md.0000000000021348 · Cited by 3
“Brouwer et al reported a bounce rate of more than 50% on a lifestyleintervention website.([22]) Overall, our bounce rate seems to be within the reported range; however, experience in health-related websites is currently very limited.”
BackgroundAmbas, J., Pakpahan, S., Prisusanti, R. D., Pangandaheng, T., & Sukmawaty, M. N. (2024) · Global International Journal of Innovative Research · doi:10.59613/global.v1i3.41 · Cited by 2
Guertler, D., Kraft, E., Bläsing, D., Möhring, A., Meyer, C., Schmidt, H., Rehbein, F., Neumann, M., Dreißigacker, A., Bischof, A., et al. (2025) · JMIR mhealth and uhealth · doi:10.2196/59573 · Cited by 2
“These studies have shown that certain modules are preferred over others, for example, physical activity over diet [14,15,26].”
InfluentialKuhlberg, H., Kujala, S., Hörhammer, I., & Koskela, T. (2021) · JMIR Research Protocols · doi:10.2196/27668 · Cited by 2
“Similar recommendations were also made in other studies [33,34].”
BackgroundResultBeintner, I., & Jacobi, C. (2019) · Internet Interventions · doi:10.1016/j.invent.2018.11.004 · Cited by 2
“…with greater use of one-to-one chats but no other aspects of participation, in other studies, individuals with a higher education lever were more likely to participate in online health promotion programs (e.g., Brouwer et al., 2010; Spittaels and De Bourdeaudhuij, 2007; Van't Riet et al., 2010).”
BackgroundSmit, E. S. (2012) · Research Publications (Maastricht University) · doi:10.26481/dis.20121003es · Cited by 2
Enomoto, Y., Wada‐Hiraike, O., Tsuchimochi, S., Nariai, M., Furukawa, M., Ga, H., Takai, R., Kumasawa, K., Tsuruga, T., Tomoyuki, F., et al. (2025) · Women s Health · doi:10.1177/17455057251347088 · Cited by 1
“34 38 There are several possible explanations for this behavior.”
Liu, C., Fuller‐Tyszkiewicz, M., Linardon, J., Jarman, H. K., & Messer, M. (2025) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-025-00553-8 · Cited by 1
Health Innovation Project: A Concept Paper on a Virtual Health Promotion Program for Men
Tong, S. F., Khoo, E. M., Low, W. Y., Ng, C. J., Wong, C. H., Yusoff, H. B. M., Bakar, A. I. A., Tan, H. M., & Jiwa, M. (2014) · Journal of Men s Health · doi:10.1089/jomh.2013.0020 · Cited by 1
Hanusová, J., Štěpánková, T., Tomanová, J., Dočkalová, S., & Papežová, H. (2016) · IGI Global eBooks · doi:10.4018/978-1-5225-0778-9.ch012 · Cited by 1
Angulo, J. S. (2015) · TigerPrints (Clemson University) · Cited by 1
Schulz, D. N. (2014) · Research Publications (Maastricht University) · doi:10.26481/dis.20140528ds
Brouwer, W. (2011) · RePub (Erasmus University Rotterdam)
Self-citationHodgson, C. S. (2014) · The University of Bath Online Publications Store (The University of Bath)
Walthouwer, M. J. L. (2015) · Research Publications (Maastricht University) · doi:10.26481/dis.20151022mw
Avaliações de ações educativas em saúde apoiadas em Tecnologias de Informação e Comunicação
Torres, A. A. L. (2015) · RIUnB Institutional Repository (University of Brasília) · doi:10.26512/2015.08.t.19585
Børøsund, E. (2015) · NORA - Norwegian Open Research Archives
Vandenberk, T., Scherrenberg, M., Frederix, I., Geurden, A., Janssen, L., Degryse, L., Smeets, S., Orolé, S., Puts, S., Bielen, J., et al. (2018) · Journal of Medical Internet Research · doi:10.2196/12589
Examination of the TOPS-2 Questionnaire in Able-Bodied Athletes and Athletes with a Disability
Varga, M. G. (2020) · Scholarship at UWindsor (University of Windsor)
Advances in Cardiac Psychology: Computerized Therapies
Kuhl, E. A. (2012) · Springer eBooks · doi:10.1007/978-1-4419-5650-7_16
Changing lifestyle behaviors with personalized feedback delivered via the Internet
Marsaux, C. F. M. (2016) · Research Publications (Maastricht University) · doi:10.26481/dis.20160420cm
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Heger, I. (2022) · Research Publications (Maastricht University) · doi:10.26481/dis.20220324ih
Vandenberk, T., Frederix, I., Geurden, A., Janssen, L., Degryse, L., Smeets, S., Orolé, S., Bielen, J., Puts, S., Dendale, M., et al. (2018) · doi:10.2196/preprints.12589
Bedendo, A., Ferri, C. P., de Souza, A. A. L., Andrade, A. L. M., & Noto, A. R. (2018) · doi:10.2196/preprints.9628
Using Consumer Input to Guide the Development of a Nutrition and Health Website
Bellows, L. L., Clifford, J., & Shackelton, E. (2015) · Journal of Extension · doi:10.34068/joe.53.05.06
Raussi, V., Kujala, S., Hörhammer, I., Savolainen, K., Autio, R., & Koskela, T. (2024) · Journal of Medical Internet Research · doi:10.2196/49802
“It has been reported that the users of eHealth interventions are more likely to be highly educated and have a healthier lifestyle than average, while those who could benefit the most are not using them [49,50].”
Guertler, D., Möhring, A., Bläsing, D., Meyer, C., Schmidt, H., Rehbein, F., Neumann, M., Dreißigacker, A., Bischof, A., Bischof, G., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/68754
“Brouwer et al [19] found similar results, with lower completion rates for their smoking module (58”
Motivation till motion och utveckling av webbaserad hälsopromotion
Josefsson, K. A., & Ivarsson, A. (2010) · Hogskolan Ihalmstad (Halmstad University)
Hohberg, V., Fuchs, R., Gerber, M., Künzler, D., Paganini, S., & Faude, O. (2022) · Figshare · doi:10.6084/m9.figshare.20408886
Hohberg, V., Fuchs, R., Gerber, M., Künzler, D., Paganini, S., & Faude, O. (2022) · Figshare · doi:10.6084/m9.figshare.20408880
Hohberg, V., Fuchs, R., Gerber, M., Künzler, D., Paganini, S., & Faude, O. (2022) · Figshare · doi:10.6084/m9.figshare.20408883
Metadata
- Authors
- Brouwer, W., Oenema, A., Raat, H., Crutzen, R., de Nooijer, J., de Vries, N. K., & Brug, J.
- Affiliations
- Erasmus MC (NL)
- Maastricht University (NL)
- Amsterdam Public Health (NL)
- Corresponding author
- Brouwer, W.
- Venue
- Health Education Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-11-06
- Volume
- 25
- Issue
- 4
- Pages
- 585-595
- ISSN
- 0268-1153 (ISSN-L)
- 1465-3648
- OpenAlex
- W2111665408
- Cited by
- 147
- References
- 49
- Citations by year
- 2025: 5 · 2024: 3 · 2023: 2 · 2022: 7 · 2021: 5 · 2020: 8 · 2019: 5 · 2018: 11 · 2017: 8 · 2016: 16 · 2015: 17 · 2014: 18 · 2013: 14 · 2012: 16
- FWCI
- 16.34
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Health Education Research (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- computer-tailored intervention, online intervention, heart-healthy lifestyle, visitor characteristics, website engagement, intervention completion, user registration, health promotion targeting, vulnerable populations
- MeSH terms
- Smoking Prevention, Adult, Diet, Female, Health Promotion, Humans, Life Style, Male, Middle Aged, Socioeconomic Factors, Health Behavior, Exercise, Body Mass Index, Internet, Overweight
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