Online Prevention Aimed at Lifestyle Behaviors: A Systematic Review of Reviews

Kohl, Leonie FM; Crutzen, Rik; de Vries, Nanne K

doi:10.2196/jmir.2665

Cited by 388Digital Mental Health InterventionsMobile Health and mHealth ApplicationsBehavioral Health and Interventions

Online Prevention Aimed at Lifestyle Behaviors: A Systematic Review of Reviews

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Kohl, Leonie FM, Crutzen, Rik, de Vries, Nanne K·2013·Journal of Medical Internet Research

DOI 10.2196/jmir.2665PMC PMC3714003

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Abstract

BACKGROUND: Interventions aimed at behavior change are increasingly being delivered over the Internet. Although research on intervention effectiveness has been widely conducted, their true public health impact as indicated by reach, effectiveness, and use is unclear. OBJECTIVE: The aim of this paper is to (1) review the current literature on online prevention aimed at lifestyle behaviors, and (2) identify research gaps regarding reach, effectiveness, and use. METHODS: A systematic search in PubMed revealed relevant literature published between 2005 and 2012 on Internet-delivered behavior change interventions aimed at dietary behaviors, physical activity, alcohol use, smoking, and condom use. Our search yielded 41 eligible reviews, which were analyzed in terms of reach, effectiveness, and use according to the RE-AIM framework. RESULTS: According to health priorities, interventions are largely targeted at weight-related behaviors, such as physical activity and dietary behavior. Evaluations are predominantly effect-focused and overall effects are small, variable, and not sustainable. Determinants of effectiveness are unclear; effectiveness cannot yet be unambiguously attributed to isolated elements. Actual reach of interventions is undiversified, mostly reaching participants who are female, highly educated, white, and living in high-income countries. One of the most substantial problems in online prevention is the low use of the interventions, a phenomenon seen across all behavior domains. CONCLUSIONS: More research is needed on effective elements instead of effective interventions, with special attention to long-term effectiveness. The reach and use of interventions need more scientific input to increase the public health impact of Internet-delivered interventions.

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Low uptake and poor engagement are commonly observed with digital interventions, which are often insufficient to sustain behavior change.
“To date, low uptake and poor engagement are commonly observed with digital interventions, which are often insufficient to sustain behavior change [15,16].”
From Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review (2020) · cites this paper as [15]
Poor engagement rates are a well-documented and ongoing concern in the design, development, and evaluation of digital interventions.
“However, poor engagement rates are a well-documented and an ongoing concern in the design, development, and evaluation of digital interventions [30-34].”
From Development and feasibility of a digital acceptance and commitment therapy⇓based intervention for generalized anxiety disorder: Pilot acceptability study (2021) · cites this paper as [34]
High attrition rates are common in internet-based health behaviour change interventions.
“High attrition rates are common in internet-based health behaviour change interventions (Kohl, Crutzen, & de Vries, 2013)”
From An ACT self-help intervention for adults with a visible difference in appearance: A pilot feasibility and acceptability randomized controlled study. (2023) · cites this paper as Kohl, Crutzen, & de Vries, 2013
Maintaining engagement can be especially difficult when DBCIs are used without human support, typically leading to high dropout and non-usage attrition.
“Maintaining engagement can be especially difficult when DBCIs are used without human support, typically leading to high levels of dropout and 'non-usage attrition', 2,3 whereby participants do not sustain engagement with the intervention technologies.”
From Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions (2016) · cites this paper as [3]
Engagement with DBCIs has typically been greater among those with higher levels of education and income.
“Engagement with DBCIs has typically been greater among those with higher levels of education and income.3”
From Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions (2016) · cites this paper as [3]

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Answering the “What Works?” Question in Health Behavior Change
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The use of web-based interventions to prevent excessive weight gain
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The Person-Based Approach to Intervention Development: Application to Digital Health-Related Behavior Change Interventions
Yardley, L., Morrison, L., Bradbury, K., & Muller, I. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4055 · Cited by 1,442 · see citing works
Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions
Yardley, L., Spring, B. J., Riper, H., Morrison, L. G., Crane, D. H., Curtis, K., Merchant, G. C., Naughton, F., & Blandford, A. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.06.015 · Cited by 1,118 · see citing works
Objective user engagement with mental health apps: systematic search and panel-based usage analysis
Baumel, A., Muench, F., Edan, S., & Kane, J. M. (2019) · Journal of Medical Internet Research · doi:10.2196/14567 · Cited by 965 · see citing works
Physical activity: Health impact, prevalence, correlates and interventions
Rhodes, R. E., Janssen, I., Bredin, S. S. D., Warburton, D. E. R., & Bauman, A. E. (2017) · Psychology and Health · doi:10.1080/08870446.2017.1325486 · Cited by 800 · see citing works
Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies
Latulippe, K., Hamel, C., & Giroux, D. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6731 · Cited by 458 · see citing works
Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors
Vandelanotte, C., Müller, A. M., Short, C. E., Hingle, M., Nathan, N., Williams, S. L., Lopez, M. L., Parekh, S., & Maher, C. A. (2016) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2015.12.006 · Cited by 396 · see citing works
Improving Employee Well-Being and Effectiveness: Systematic Review and Meta-Analysis of Web-Based Psychological Interventions Delivered in the Workplace
Carolan, S., Harris, P. R., & Cavanagh, K. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7583 · Cited by 385 · see citing works
“For example, it has been suggested that two of the advantages of digital health interventions compared with face-to-face or group interventions are increased accessibility, with participants being able to access at a time and a pace convenient for them [23,25,27,30,69], and increased anonymity [23,27,30].”
Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review
Jakob, R., Harperink, S., Rudolf, A. M., Fleisch, E., Haug, S., Mair, J. L., Salamanca-Sanabria, A., & Kowatsch, T. (2022) · Journal of Medical Internet Research · doi:10.2196/35371 · Cited by 446 · see citing works
Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review
Szinay, D., Jones, A., Chadborn, T., Brown, J., & Naughton, F. (2020) · Journal of Medical Internet Research · doi:10.2196/17572 · Cited by 289 · see citing works
“To date, low uptake and poor engagement are commonly observed with digital interventions, which are often insufficient to sustain behavior change [15,16].”
Background
How can interventions increase motivation for physical activity? A systematic review and meta-analysis
Knittle, K. P., Nurmi, J., Crutzen, R., Hankonen, N. E., Beattie, M. M., & Dombrowski, S. U. (2018) · Health Psychology Review · doi:10.1080/17437199.2018.1435299 · Cited by 304 · see citing works
Self-citation
The Effectiveness of Prompts to Promote Engagement With Digital Interventions: A Systematic Review
Alkhaldi, G., Hamilton, F. L., Lau, R., Webster, R., Michie, S., & Murray, E. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4790 · Cited by 273 · see citing works
Social media interventions for diet and exercise behaviours: a systematic review and meta-analysis of randomised controlled trials
Williams, G., Hamm, M. P., Shulhan, J., Vandermeer, B., & Hartling, L. (2014) · BMJ Open · doi:10.1136/bmjopen-2013-003926 · Cited by 225 · see citing works
By the numbers: ratings and utilization of behavioral health mobile applications
Carlo, A. D., Hosseini Ghomi, R., Renn, B. N., & Areán, P. A. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0129-6 · Cited by 164 · see citing works
The Effect of Timing and Frequency of Push Notifications on Usage of a Smartphone-Based Stress Management Intervention: An Exploratory Trial
Morrison, L. G., Hargood, C., Pejovic, V., Geraghty, A. W. A., Lloyd, S., Goodman, N., Michaelides, D. T., Weston, A., Musolesi, M., Weal, M. J., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0169162 · Cited by 162 · see citing works
An Overview of Factors Associated with Adherence to Lifestyle Modification Programs for Weight Management in Adults
Leung, A. W. Y., Chan, R., Sea, M. M.-M., & Woo, J. (2017) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph14080922 · Cited by 167 · see citing works
The Science of Using Science: Researching the Use of Research Evidence in Decision-Making
Langer, L., Tripney, J., & Gough, D. (2016) · UCL Discovery (University College London) · Cited by 166 · see citing works
Examining Predictors of Real-World User Engagement with Self-Guided eHealth Interventions: Analysis of Mobile Apps and Websites Using a Novel Dataset
Baumel, A., & Kane, J. M. (2018) · Journal of Medical Internet Research · doi:10.2196/11491 · Cited by 131 · see citing works
Effectiveness of a Web- and Mobile Phone-Based Intervention to Promote Physical Activity and Healthy Eating in Middle-Aged Males: Randomized Controlled Trial of the ManUp Study
Duncan, M. J., Vandelanotte, C., Kolt, G. S., Rosenkranz, R. R., Caperchione, C. M., George, E. S., Ding, H., Hooker, C., Karunanithi, M., Maeder, A. J., et al. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3107 · Cited by 149 · see citing works
Physical Activity and Type 1 Diabetes
Colberg, S. R., Laan, R., Dassau, E., & Kerr, D. E. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814566231 · Cited by 147 · see citing works
Effective Behavior Change Techniques in Digital Health Interventions for the Prevention or Management of Noncommunicable Diseases: An Umbrella Review
Mair, J. L., Salamanca-Sanabria, A., Augsburger, M., Frese, B. F., Abend, S., Jakob, R., Kowatsch, T., & Haug, S. (2023) · Annals of Behavioral Medicine · doi:10.1093/abm/kaad041 · Cited by 157 · see citing works
Using mobile apps to promote a healthy lifestyle among adolescents and students: a review of the theoretical basis and lessons learned.
Dute, D. J., Bemelmans, W. J. E., & Breda, J. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3559 · Cited by 142 · see citing works
Short‐term effectiveness of a web‐based tailored intervention for cancer survivors on quality of life, anxiety, depression, and fatigue: randomized controlled trial
Willems, R. A., Bolman, C. A. W., Mesters, I., Kanera, I. M., Beaulen, A. A. J. M., & Lechner, L. (2016) · Psycho-Oncology · doi:10.1002/pon.4113 · Cited by 139 · see citing works
More Than a Text Message: Dismantling Digital Triggers to Curate Behavior Change in Patient-Centered Health Interventions
Muench, F. J., & Baumel, A. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7463 · Cited by 138 · see citing works
Effectiveness of an mHealth intervention to improve the cardiometabolic profile of people with prehypertension in low-resource urban settings in Latin America: a randomised controlled trial
Rubinstein, A., Miranda, J. J., Beratarrechea, A. G., Diez‐Canseco, F., Kanter, R., Gutiérrez, L., Bernabé‐Ortiz, A., Irazola, V. E., Fernandez, A., Letona, P., et al. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00381-2 · Cited by 137 · see citing works
Developing Embodied Conversational Agents for Coaching People in a Healthy Lifestyle: Scoping Review
Kramer, L. L., ter Stal, S., Mulder, B. C., de Vet, E., & van Velsen, L. (2020) · Journal of Medical Internet Research · doi:10.2196/14058 · Cited by 121 · see citing works
“Literature on development and effectiveness is essential to create ECAs that can have a high level of impact and uptake, a problem with which electronic health (eHealth) interventions constantly struggle [10].”
BackgroundInfluential
Theory-based strategies for enhancing the impact and usage of digital health behaviour change interventions: A review
Morrison, L. G. (2015) · DIGITAL HEALTH · doi:10.1177/2055207615595335 · Cited by 116 · see citing works
Digital Divide – Soziale Unterschiede in der Nutzung digitaler Gesundheitsangebote
Müller, A. C., Wachtler, B., & Lampert, T. (2020) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-019-03081-y · Cited by 135 · see citing works
Differential attrition in health behaviour change trials: a systematic review and meta-analysis
Crutzen, R., Viechtbauer, W., Spigt, M., & Kotz, D. (2015) · Psychology & Health · doi:10.1080/08870446.2014.953526 · Cited by 132 · see citing works
Self-citation
Web-Based Intervention Programs for Depression: A Scoping Review and Evaluation
Renton, T., Tang, H., Ennis, N., Cusimano, M. D., Bhalerao, S., Schweizer, T. A., & Topolovec-Vranic, J. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3147 · Cited by 116 · see citing works
Predicting user adherence to behavioral eHealth interventions in the real world: examining which aspects of intervention design matter most
Baumel, A., & Yom-Tov, E. (2018) · Translational Behavioral Medicine · doi:10.1093/tbm/ibx037 · Cited by 128 · see citing works
The Effects of Young Adults Eating and Active for Health (YEAH): A Theory-Based Web-Delivered Intervention
Kattelmann, K. K., Bredbenner, C. B., White, A. A., Greene, G. W., Hoerr, S. L., Kidd, T., Colby, S. E., Horacek, T. M., Phillips, B. W., Koenings, M., et al. (2014) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2014.08.007 · Cited by 125 · see citing works
Good practice characteristics of diet and physical activity interventions and policies: an umbrella review
Horodyska, K., Luszczynska, A., van den Berg, M., Hendriksen, M., Roos, G., De Bourdeaudhuij, I., & Brug, J. (2015) · BMC Public Health · doi:10.1186/s12889-015-1354-9 · Cited by 122 · see citing works
Feasibility and Quit Rates of the Tobacco Status Project: A Facebook Smoking Cessation Intervention for Young Adults
Ramo, D. E., Thrul, J., Chavez, K., Delucchi, K., & Prochaska, J. J. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.5209 · Cited by 119 · see citing works
Effectiveness of Education Interventions Designed to Improve Nutrition Knowledge in Athletes: A Systematic Review
Tam, R., Beck, K. L., Manore, M. M., Gifford, J. A., Flood, V. M., & O'Connor, H. T. (2019) · Sports Medicine · doi:10.1007/s40279-019-01157-y · Cited by 114 · see citing works
User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial
Edney, S., Ryan, J. C., Olds, T., Monroe, C., Fraysse, F., Vandelanotte, C., Plotnikoff, R., Curtis, R., & Maher, C. (2019) · Journal of Medical Internet Research · doi:10.2196/14645 · Cited by 104 · see citing works
Using New Technologies to Improve the Prevention and Management of Chronic Conditions in Populations
Oldenburg, B. F., Taylor, C. B., O'Neil, A. E., Cocker, F., & Cameron, L. D. (2015) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031914-122848 · Cited by 104 · see citing works
Technology-enhanced mathematics instruction: A second-order meta-analysis of 30 years of research
Young, J. (2017) · Educational Research Review · doi:10.1016/j.edurev.2017.07.001 · Cited by 103 · see citing works
Long-term effects of a web-based cancer aftercare intervention on moderate physical activity and vegetable consumption among early cancer survivors: a randomized controlled trial
Kanera, I. M., Willems, R. A., Bolman, C. A. W., Mesters, I., Verboon, P., & Lechner, L. (2017) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-017-0474-2 · Cited by 99 · see citing works
Does Brief Telephone Support Improve Engagement With a Web-Based Weight Management Intervention? Randomized Controlled Trial
Dennison, L., Morrison, L., Lloyd, S., Phillips, D., Stuart, B., Williams, S., Bradbury, K., Roderick, P., Murray, E., Michie, S., et al. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3199 · Cited by 98 · see citing works
Effects of Internet-based psycho-educational interventions on mental health and quality of life among cancer patients: a systematic review and meta-analysis
Wang, Y., Lin, Y., Chen, J., Wang, C., Hu, R., & Wu, Y. (2020) · Supportive Care in Cancer · doi:10.1007/s00520-020-05383-3 · Cited by 91 · see citing works
The Barriers and Facilitators of eHealth-Based Lifestyle Intervention Programs for People With a Low Socioeconomic Status: Scoping Review
Al-Dhahir, I., Reijnders, T., Faber, J. S., van den Berg-Emons, R. J. G., Janssen, V. R., Kraaijenhagen, R. A., Visch, V., Chavannes, N. H., & Evers, A. W. M. (2022) · Journal of Medical Internet Research · doi:10.2196/34229 · Cited by 91 · see citing works
Are Social Networking Sites Making Health Behavior Change Interventions More Effective? A Meta-Analytic Review
Yang, Q. (2017) · Journal of Health Communication · doi:10.1080/10810730.2016.1271065 · Cited by 92 · see citing works
Lifestyle-related effects of the web-based Kanker Nazorg Wijzer (Cancer Aftercare Guide) intervention for cancer survivors: a randomized controlled trial
Kanera, I. M., Bolman, C. A. W., Willems, R. A., Mesters, I., & Lechner, L. (2016) · Journal of Cancer Survivorship · doi:10.1007/s11764-016-0535-6 · Cited by 85 · see citing works
Long-term effectiveness and moderators of a web-based tailored intervention for cancer survivors on social and emotional functioning, depression, and fatigue: randomized controlled trial
Willems, R. A., Mesters, I., Lechner, L., Kanera, I. M., & Bolman, C. A. W. (2017) · Journal of Cancer Survivorship · doi:10.1007/s11764-017-0625-0 · Cited by 80 · see citing works
Implementation conditions for diet and physical activity interventions and policies: an umbrella review
Horodyska, K., Luszczynska, A., Hayes, C. B., O’Shea, M. P., Langøien, L. J., Roos, G., van den Berg, M., Hendriksen, M., De Bourdeaudhuij, I., & Brug, J. (2015) · BMC Public Health · doi:10.1186/s12889-015-2585-5 · Cited by 80 · see citing works
Systematic review and meta-analysis of remotely delivered interventions using self-monitoring or tailored feedback to change dietary behavior
Teasdale, N., Elhussein, A., Butcher, F. C., Piernas, C., Cowburn, G., Hartmann‐Boyce, J., Saksena, R., & Scarborough, P. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqx048 · Cited by 78 · see citing works
Self-Directed Interventions to Promote Weight Loss: A Systematic Review of Reviews
Tang, J. C. H., Abraham, C., Greaves, C. J., & Yates, T. E. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2857 · Cited by 77 · see citing works
The Promotion of Eating Behaviour Change through Digital Interventions
Chen, Y., Pérez-Cueto, F. J. A., Giboreau, A., Mavridis, I. K., & Hartwell, H. J. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17207488 · Cited by 73 · see citing works
Perceptions of Factors Influencing Engagement With Health and Well-being Apps in the United Kingdom: Qualitative Interview Study
Szinay, D., Perski, O., Jones, A., Chadborn, T., Brown, J., & Naughton, F. (2021) · JMIR mhealth and uhealth · doi:10.2196/29098 · Cited by 74 · see citing works
Electronic Patient-Generated Health Data to Facilitate Disease Prevention and Health Promotion: Scoping Review
Nittas, V., Lun, P., Ehrler, F., Puhan, M. A., & Mütsch, M. (2019) · Journal of Medical Internet Research · doi:10.2196/13320 · Cited by 76 · see citing works
Why and how we should care about the General Data Protection Regulation
Crutzen, R., Peters, G.-J., & Mondschein, C. F. (2019) · Psychology and Health · doi:10.1080/08870446.2019.1606222 · Cited by 75 · see citing works
Self-citation
Effects of a Web-Based Computer-Tailored Game to Reduce Binge Drinking Among Dutch Adolescents: A Cluster Randomized Controlled Trial
Jander, A., Crutzen, R., Mercken, L. A. G., Candel, M. J. J. M., & de Vries, H. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4708 · Cited by 75 · see citing works
Self-citation
Smoking Cessation Intervention on Facebook: Which Content Generates the Best Engagement?
Thrul, J., Klein, A. B., & Ramo, D. E. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4575 · Cited by 72 · see citing works
The fitness of apps: a theory-based examination of mobile fitness app usage over 5 months
Herrmann, L. K., & Kim, J. (2017) · mHealth · doi:10.21037/mhealth.2017.01.03 · Cited by 73 · see citing works
Effectiveness of a Web-Based Tailored Intervention With Virtual Assistants Promoting the Acceptability of HPV Vaccination Among Mothers of Invited Girls: Randomized Controlled Trial
Pot, M., Paulussen, T. G., Ruiter, R. A., Eekhout, I., de Melker, H. E., Spoelstra, M. E., & van Keulen, H. M. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7449 · Cited by 62 · see citing works
Combining Web-Based Gamification and Physical Nudges With an App (MoveMore) to Promote Walking Breaks and Reduce Sedentary Behavior of Office Workers: Field Study
Mamede, A., Noordzij, G., Jongerling, J., Snijders, M., Schop-Etman, A., & Denktaş, S. (2021) · Journal of Medical Internet Research · doi:10.2196/19875 · Cited by 71 · see citing works
Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review
Bonner, C., Fajardo, M. A., Hui, S., Stubbs, R., & Trevena, L. J. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.8538 · Cited by 68 · see citing works
A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial
Carrasco-Hernandez, L., Jódar-Sánchez, F., Núñez-Benjumea, F., Moreno Conde, J., Mesa González, M., Civit-Balcells, A., Hors-Fraile, S., Parra-Calderón, C. L., Bamidis, P. D., & Ortega-Ruiz, F. (2020) · JMIR mHealth and uHealth · doi:10.2196/17530 · Cited by 65 · see citing works
How do different delivery schedules of tailored web-based physical activity advice for breast cancer survivors influence intervention use and efficacy?
Short, C. E., Rebar, A. L., James, E. L., Duncan, M. J., Courneya, K. S., Plotnikoff, R. C., Crutzen, R., & Vandelanotte, C. (2016) · Journal of Cancer Survivorship · doi:10.1007/s11764-016-0565-0 · Cited by 63 · see citing works
Self-citation
Increasing engagement with an occupational digital stress management program through the use of an online facilitated discussion group: Results of a pilot randomised controlled trial
Carolan, S., Harris, P. R., Greenwood, K., & Cavanagh, K. (2017) · Internet Interventions · doi:10.1016/j.invent.2017.08.001 · Cited by 63 · see citing works
Who Follows eHealth Interventions as Recommended? A Study of Participants' Personal Characteristics From the Experimental Arm of a Randomized Controlled Trial
Reinwand, D. A., Schulz, D. N., Crutzen, R., Kremers, S. P., & de Vries, H. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3932 · Cited by 62 · see citing works
Self-citation
Behavioral Nutrition Interventions Using e- and m-Health Communication Technologies: A Narrative Review
Olson, C. M. (2016) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071715-050815 · Cited by 59 · see citing works
Puzzling With Online Games (BAM-COG): Reliability, Validity, and Feasibility of an Online Self-Monitor for Cognitive Performance in Aging Adults
Aalbers, T., Baars, M. A. E., Olde Rikkert, M. G. M., & Kessels, R. P. C. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2860 · Cited by 59 · see citing works
Use and Appreciation of a Tailored Self-Management eHealth Intervention for Early Cancer Survivors: Process Evaluation of a Randomized Controlled Trial
Kanera, I. M., Willems, R. A., Bolman, C. A. W., Mesters, I., Zambon, V., Gijsen, B. C., & Lechner, L. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5975 · Cited by 59 · see citing works
Applicability of the User Engagement Scale to Mobile Health: A Survey-Based Quantitative Study
(2019) · doi:10.2196/13244 · Cited by 54 · see citing works
Accessibility and Preferred Use of Online Web Applications Among WIC Participants With Internet Access
Bensley, R. J., Hovis, A., Horton, K. D., Loyo, J., Bensley, K. M., Phillips, D., & Desmangles, C. (2014) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2014.02.007 · Cited by 58 · see citing works
Examining Factors of Engagement With Digital Interventions for Weight Management: Rapid Review
Sharpe, E. E., Karasouli, E., & Meyer, C. (2017) · JMIR Research Protocols · doi:10.2196/resprot.6059 · Cited by 58 · see citing works
Obesity treatment in disadvantaged population groups: Where do we stand and what can we do?
Harvey, J. R., & Ogden, D. (2014) · Preventive Medicine · doi:10.1016/j.ypmed.2014.05.015 · Cited by 57 · see citing works
Smoking Cessation Smartphone App Use Over Time: Predicting 12-Month Cessation Outcomes in a 2-Arm Randomized Trial
Bricker, J. B., Mull, K. E., Santiago-Torres, M., Miao, Z., Perski, O., & Di, C. (2022) · Journal of Medical Internet Research · doi:10.2196/39208 · Cited by 44 · see citing works
Effect and Process Evaluation of a Smartphone App to Promote an Active Lifestyle in Lower Educated Working Young Adults: Cluster Randomized Controlled Trial
Simons, D., De Bourdeaudhuij, I., Clarys, P., De Cocker, K., Vandelanotte, C., & Deforche, B. (2018) · JMIR mHealth and uHealth · doi:10.2196/10003 · Cited by 56 · see citing works
Feasibility of Gamified Mobile Service Aimed at Physical Activation in Young Men: Population-Based Randomized Controlled Study (MOPO)
Leinonen, A., Pyky, R., Ahola, R., Kangas, M., Siirtola, P., Luoto, T., Enwald, H., Ikäheimo, T. M., Röning, J., Keinanen-Kiukaanniemi, S. M., et al. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6675 · Cited by 53 · see citing works
What makes online substance-use interventions engaging? A systematic review and narrative synthesis
Milward, J., Drummond, C., Fincham-Campbell, S., & Deluca, P. (2018) · Digital Health · doi:10.1177/2055207617743354 · Cited by 55 · see citing works
A 12-month follow-up of a mobile-based (mHealth) obesity prevention intervention in pre-school children: the MINISTOP randomized controlled trial
Nyström, C. D., Sandin, S., Henriksson, P., Henriksson, H., Maddison, R., & Löf, M. (2018) · BMC Public Health · doi:10.1186/s12889-018-5569-4 · Cited by 55 · see citing works
Effect of a Web-Based Behavior Change Program on Weight Loss and Cardiovascular Risk Factors in Overweight and Obese Adults at High Risk of Developing Cardiovascular Disease: Randomized Controlled Trial
Watson, S., Woodside, J. V., Ware, L. J., Hunter, S. J., McGrath, A. J., Cardwell, C. R., Appleton, K. M., Young, I. S., & McKinley, M. C. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3828 · Cited by 52 · see citing works
Feasibility of extracting data from electronic medical records for research: an international comparative study
van Velthoven, M. H., Mastellos, N., Majeed, A., O’Donoghue, J., & Car, J. (2016) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0332-1 · Cited by 52 · see citing works
Engaging older people in an internet platform for cardiovascular risk self-management: a qualitative study among Dutch HATICE participants
van Middelaar, T., Beishuizen, C. R. L., Guillemont, J., Barbera, M., Richard, E., & van Charante, E. P. M. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-019683 · Cited by 50 · see citing works
The Outcomes of a 12-Week Internet Intervention Aimed at Improving Fitness and Health-Related Quality of Life in Overweight Adolescents: The Young & Active Controlled Trial
Riiser, K., Løndal, K., Ommundsen, Y., Småstuen, M. C., Misvær, N., & Helseth, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0114732 · Cited by 50 · see citing works
Increasing Physical Activity Efficiently: An Experimental Pilot Study of a Website and Mobile Phone Intervention
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Authors: Kohl, L. F., Crutzen, R., & de Vries, N. K.
Affiliations: Maastricht University (NL)
Corresponding author: Crutzen, Rik
ORCID: Crutzen, Rik
Venue: Journal of Medical Internet Research
Publisher: JMIR Publications Inc.
Published: 2013-07-16
Volume: 15
Issue: 7
Pages: e146
ISSN: 1438-8871 (ISSN-L)
DOI: 10.2196/jmir.2665
PMC: PMC3714003
OpenAlex: W1971353564
Cited by: 388
References: 88
Citations by year: 2026: 9 · 2025: 17 · 2024: 23 · 2023: 26 · 2022: 29 · 2021: 44 · 2020: 33 · 2019: 34 · 2018: 29 · 2017: 37 · 2016: 40 · 2015: 33 · 2014: 31 · 2013: 2
FWCI: 4.33
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
Locations: Journal of Medical Internet Research (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Research Publications (Maastricht University) (publishedVersion, cc-by)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Research Publications (Maastricht University) (submittedVersion, other-oa)
Funders: ZonMw
Topics: Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
Keywords: online intervention, lifestyle habits, behaviour change interventions, RE-AIM framework, intervention reach, intervention effectiveness, intervention use, physical activity, dietary behavior, alcohol consumption, smoking, condom use, weight-related behaviors, public health impact
MeSH terms: Behavior Therapy, Humans, Life Style, Internet

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