Development of a Fully Automated, Web-Based, Tailored Intervention Promoting Regular Physical Activity Among Insufficiently Active Adults With Type 2 Diabetes: Integrating the I-Change Model, Self-Determination Theory, and Motivational Interviewing Components
Open accessAbstract
BACKGROUND: Type 2 diabetes is a major challenge for Canadian public health authorities, and regular physical activity is a key factor in the management of this disease. Given that fewer than half of people with type 2 diabetes in Canada are sufficiently active to meet the recommendations, effective programs targeting the adoption of regular physical activity (PA) are in demand for this population. Many researchers argue that Web-based, tailored interventions targeting PA are a promising and effective avenue for sedentary populations like Canadians with type 2 diabetes, but few have described the detailed development of this kind of intervention. OBJECTIVE: This paper aims to describe the systematic development of the Web-based, tailored intervention, Diabète en Forme, promoting regular aerobic PA among adult Canadian francophones with type 2 diabetes. This paper can be used as a reference for health professionals interested in developing similar interventions. We also explored the integration of theoretical components derived from the I-Change Model, Self-Determination Theory, and Motivational Interviewing, which is a potential path for enhancing the effectiveness of tailored interventions on PA adoption and maintenance. METHODS: The intervention development was based on the program-planning model for tailored interventions of Kreuter et al. An additional step was added to the model to evaluate the intervention's usability prior to the implementation phase. An 8-week intervention was developed. The key components of the intervention include a self-monitoring tool for PA behavior, a weekly action planning tool, and eight tailored motivational sessions based on attitude, self-efficacy, intention, type of motivation, PA behavior, and other constructs and techniques. Usability evaluation, a step added to the program-planning model, helped to make several improvements to the intervention prior to the implementation phase. RESULTS: The intervention development cost was about CDN $59,700 and took approximately 54 full-time weeks. The intervention officially started on September 29, 2014. Out of 2300 potential participants targeted for the tailored intervention, approximately 530 people visited the website, 170 people completed the registration process, and 83 corresponded to the selection criteria and were enrolled in the intervention. CONCLUSIONS: Usability evaluation is an essential step in the development of a Web-based tailored intervention in order to make pre-implementation improvements. The effectiveness and relevance of the theoretical framework used for the intervention will be analyzed following the process and impact evaluation. Implications for future research are discussed.
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MI leads to decreased ambivalence, greater intention to change, and increased feelings of control, all of which are consistently associated with greater physical activity.
“Furthermore, MI itself leads to decreased ambivalence, greater intention to change, and increased feelings of control (pathway C1) [113, 133–137], all of which are consistently associated with greater physical activity (pathway C2) [138–140].”
From Positive Psychological Interventions for Patients with Type 2 Diabetes: Rationale, Theoretical Model, and Intervention Development (2015) · cites this paper as [140]
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Resnicow, K., Davis, R. E., Zhang, G., Konkel, J., Strecher, V. J., Shaikh, A. R., Tolsma, D., Calvi, J., Alexander, G., Anderson, J. P., et al. (2008) · Annals of Behavioral Medicine · doi:10.1007/s12160-008-9028-9 · Cited by 146 · cited 1× · see citing works
“We will also explore the use of concepts derived from Self-Determination Theory (SDT), a theory focusing on types rather than just amount of motivation [36], and Motivational Interviewing (MI), a counseling approach using a collaborative style of communication for strengthening a person’s own motivation and commitment…”
Cranney, L., O'Hara, B. J., & Milat, A. (2009) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-6-30 · Cited by 136 · see citing works
Schulz, D. N., Kremers, S., Vandelanotte, C., van Adrichem, M. J., Schneider, F., Candel, M. J. J. M., & de Vries, H. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3094 · Cited by 134 · cited 2× · see citing works
“There are several arguments for how we decided to develop our model: (1) the model integrates more possible sociocognitive determinants related to PA behavior among Canadian adults with type 2 diabetes than any other single model [58], (2) the I-Change Model integrates in a coherent manner a majority of ideas from the…”
Plotnikoff, R. C., Lippke, S., Courneya, K. S., Birkett, N., & Sigal, R. J. (2008) · Psychology and Health · doi:10.1080/08870440802160984 · Cited by 106 · cited 1× · see citing works
“Nine articles identifying potential determinants of aerobic PA in adults with type 2 diabetes were found in our qualitative review [9,69-76].”
Teixeira, P. J., Palmeira, A. L., & Vansteenkiste, M. (2012) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-9-17 · Cited by 101 · cited 1× · see citing works
“But although SDT can provide a few guidelines in the creation of such an environment, this theory has received some criticism regarding its practical use for doing so when compared to MI [46-48,65].”
van Stralen, M. M., de Vries, H., Mudde, A. N., Bolman, C. A. W., & Lechner, L. (2011) · Health Psychology · doi:10.1037/a0023579 · Cited by 98 · cited 5× · see citing works
“In recent years, the use of the I-Change Model in tailored interventions has resulted in long-term positive impacts on PA behavior among adults of various age groups [60,61].”
InfluentialPlotnikoff, R. C., Lippke, S., Trinh, L., Courneya, K. S., Birkett, N., & Sigal, R. J. (2009) · British Journal of Health Psychology · doi:10.1348/135910709x478826 · Cited by 86 · cited 1× · see citing works
“Nine articles identifying potential determinants of aerobic PA in adults with type 2 diabetes were found in our qualitative review [9,69-76].”
Peels, D. A., Bolman, C. A. W., Golsteijn, R. H. J., de Vries, H., Mudde, A. N., van Stralen, M. M., & Lechner, L. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2229 · Cited by 80 · cited 1× · see citing works
“However, although evidence suggests this has not yet become an established reality across all countries, education levels, and age categories [12,25], Internet and mobile communication channels could have a greater dissemination potential [13,26].”
Short, C. E., James, E. L., Plotnikoff, R. C., & Girgis, A. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-113 · Cited by 77 · cited 3× · see citing works
“Among them, Social Cognitive Theory [54], Transtheoretical Model [55], Theory of Planned Behavior [56], and Health Belief Model [57] are the most widely used theories and models in tailored interventions targeting PA uptake and maintenance [12,18,19,21,22].”
Joseph, C. L. M., Ownby, D. R., Havstad, S. L., saltzgaber, J., Considine, S., Johnson, D. A., Peterson, E., Alexander, G., Lü, M., Gibson-Scipio, W. M., et al. (2012) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2012.07.009 · Cited by 75 · see citing works
Reporting standards for studies of tailored interventions
Harrington, N. G., & Noar, S. M. (2011) · Health Education Research · doi:10.1093/her/cyr108 · Cited by 74 · cited 3× · see citing works
“Using recent reporting standards in the fields of health behavior change and tailoring [33,34], this paper will therefore try to build on previous research by demonstrating the in-depth development of the Diabète en Forme (DEF) Web-based, tailored intervention targeting adoption and maintenance of regular aerobic PA a…”
Sweet, S. N., Fortier, M. S., Guérin, E., Tulloch, H., Sigal, R. J., Kenny, G. P., & Reid, R. D. (2009) · Psychology, Health & Medicine · doi:10.1080/13548500903111806 · Cited by 70 · cited 1× · see citing works
“Research on PA adoption and maintenance increasingly shows the added value of autonomous motivation, an SDT and MI-related construct, to help individuals adopt and, more importantly, maintain regular PA [49-51].”
Information technology in health promotion
Lintonen, T., Konu, A., & Seedhouse, D. (2007) · Health Education Research · doi:10.1093/her/cym001 · Cited by 64 · cited 1× · see citing works
“The use of information technologies like the Internet is seen as a promising avenue for the development of large scale interventions with behavior change purposes [12-16].”
Plotnikoff, R. C., Karunamuni, N. D., Courneya, K. S., Sigal, R. J., Johnson, J. A., & Johnson, S. T. (2012) · Annals of Behavioral Medicine · doi:10.1007/s12160-012-9405-2 · Cited by 63 · cited 2× · see citing works
“(adapted version of GLTEQ) [97,98]: items are number of times/week and minutes/time for vigorous, moderate, and low PA 6 PA behavior I intend to be regularly active in the next month [9]: totally disagree (-3) to totally agree (+3) 3 Intention My plans are to practice physical activities regularly in the next month [9…”
Schulz, D. N., Smit, E. S., Stanczyk, N. E., Kremers, S., de Vries, H., & Evers, S. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3159 · Cited by 63 · cited 1× · see citing works
“These beliefs are also increasingly supported by evidence [109-111].”
Physical Activity in the Management of Diabetes: Population-based Perspectives and Strategies
Plotnikoff, R. C. (2006) · Canadian Journal of Diabetes · doi:10.1016/s1499-2671(06)01009-4 · Cited by 61 · cited 1× · see citing works
“Wide-reaching and effective PA promotion programs are therefore needed and recommended [3,4,11].”
Friederichs, S. A. H., Oenema, A., Bolman, C. A. W., Guyaux, J., van Keulen, H. M., & Lechner, L. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-212 · Cited by 54 · see citing works
Walters, S. T., Ondersma, S. J., Ingersoll, K. S., Rodríguez, M., Lerch, J. A., Rossheim, M. E., & Taxman, F. S. (2013) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2013.07.003 · Cited by 52 · cited 1× · see citing works
“We will also explore the use of concepts derived from Self-Determination Theory (SDT), a theory focusing on types rather than just amount of motivation [36], and Motivational Interviewing (MI), a counseling approach using a collaborative style of communication for strengthening a person’s own motivation and commitment…”
Plotnikoff, R. C., Courneya, K. S., Trinh, L., Karunamuni, N. D., & Sigal, R. J. (2008) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-5-61 · Cited by 51 · see citing works
Boudreau, F., & Godin, G. (2009) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-6-35 · Cited by 44 · see citing works
Self-citationWebEase: development of a Web-based epilepsy self-management intervention.
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van Keulen, H. M., Bosmans, J. E., van Tulder, M. W., Severens, J. L., de Vries, H., Brug, J., & Mesters, I. (2010) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-7-64 · Cited by 42 · see citing works
Motivational interviewing in a web-based physical activity intervention: questions and reflections
Friederichs, S. A. H., Oenema, A., Bolman, C. A. W., Guyaux, J., van Keulen, H. M., & Lechner, L. (2013) · Health Promotion International · doi:10.1093/heapro/dat069 · Cited by 36 · cited 3× · see citing works
“Finally, it should be mentioned that the development of the tailored motivational sessions used the latest research by Friederichs et al on MI-based tailoring [39].”
Boudreau, F., & Godin, G. (2014) · International Journal of Behavioral Medicine · doi:10.1007/s12529-013-9380-4 · Cited by 35 · cited 1× · see citing works
“Nine articles identifying potential determinants of aerobic PA in adults with type 2 diabetes were found in our qualitative review [9,69-76].”
Self-citationShort, C. E., James, E. L., & Plotnikoff, R. C. (2013) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-10-124 · Cited by 34 · cited 2× · see citing works
“Given that Short et al recently published a paper on the development of an evidence-based, tailored print intervention using essentially the same standards and program-planning model as us [35], our paper will add to their work by repeating the procedure for a fully automated, Web-based, tailored intervention.”
Dickinson, W. P., Glasgow, R. E., Fisher, L., Dickinson, L. M., Christensen, S., Estabrooks, P. A., & Miller, B. F. (2013) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2013.02.110344 · Cited by 34 · cited 1× · see citing works
“The contributing factors are (1) intervention targeting only one behavior [19], (2) extensive use of the theoretical framework [19], (3) inclusion of multiple behavior change techniques [19], (4) use of additional methods for interacting with participants (mainly text messages and emails) [19], (5) inclusion of educat…”
Predictors of Physical Activity in Adults With Type 2 Diabetes
Plotnikoff, R. C., Trinh, L., Courneya, K. S., Karunamuni, N., & Sigal, R. J. (2011) · American Journal of Health Behavior · doi:10.5993/ajhb.35.3.9 · Cited by 33 · cited 1× · see citing works
“Nine articles identifying potential determinants of aerobic PA in adults with type 2 diabetes were found in our qualitative review [9,69-76].”
Physical Activity Preferences and Type 2 Diabetes
Forbes, C. C., Plotnikoff, R. C., Courneya, K. S., & Boulé, N. G. (2010) · The Science of Diabetes Self-Management and Care · doi:10.1177/0145721710378538 · Cited by 32 · cited 2× · see citing works
“To conclude Step 1, it is also important to note that our literature review included three other papers not mentioned so far, which provided insights into common beliefs related to aerobic PA among people with type 2 diabetes [9,90] and aerobic PA preferences among Canadians with type 2 diabetes [84].”
Rhodes, R. E., & Blanchard, C. M. (2007) · Annals of Behavioral Medicine · doi:10.1007/bf02879912 · Cited by 26 · cited 1× · see citing works
“To conclude Step 1, it is also important to note that our literature review included three other papers not mentioned so far, which provided insights into common beliefs related to aerobic PA among people with type 2 diabetes [9,90] and aerobic PA preferences among Canadians with type 2 diabetes [84].”
Plotnikoff, R. C., Johnson, S. T., Loucaides, C. A., Bauman, A. E., Karunamuni, N. D., & Pickering, M. A. (2010) · Journal of Obesity · doi:10.1155/2011/561432 · Cited by 24 · cited 2× · see citing works
“Accordingly, the Public Health Agency of Canada urges the development of new population approaches targeting the delay and reduction of complications associated with type 2 diabetes [3].”
Development costs of a computer-generated tailored intervention
Lairson, D. R., Newmark, G. R., Rakowski, W., Tiro, J. A., & Vernon, S. W. (2004) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2004.01.004 · Cited by 19 · cited 1× · see citing works
“First, the assessment of development costs was not performed according to a standardized method [116,117] and should be interpreted with caution.”
Lairson, D. R., Chang, Y.-C., Bettencourt, J. L., Vernon, S. W., & Greisinger, A. J. (2006) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2067 · Cited by 17 · cited 1× · see citing works
“First, the assessment of development costs was not performed according to a standardized method [116,117] and should be interpreted with caution.”
Lear, S. A., Araki, Y., Maric, B., Kaan, A., & Horvat, D. (2009) · Canadian Journal of Cardiology · doi:10.1016/s0828-282x(09)70722-6 · Cited by 17 · cited 1× · see citing works
“The evolution of Canadian Internet use further suggests that public health organizations should take advantage of this technology to develop and deliver their services [27-29], including services targeting populations with chronic diseases [30].”
Physical activity of Aboriginals with type 2 diabetes: an exploratory study.
Brunet, S., Plotnikoff, R. C., Raine, K. D., & Courneya, K. S. (2005) · PubMed · Cited by 8 · see citing works
Supporting the Running and Analysis of Trials of Web-Based Behavioural Interventions: The LifeGuide
Yang, Y., Osmond, A., Chen, X., Weal, M. J., Wills, G. B., Roure, D. D., Joseph, J. A., & Yardley, L. (2009) · IEEE International Conference on eScience · doi:10.1109/e-science.2009.16 · Cited by 5 · cited 1× · see citing works
“Or, researchers could also try to determine which systems are faster for automating the tailoring process of interventions, whether it be TailorBuilder [91], other similar tailoring systems [113,114], the use of direct computer programming human resources, or other means.”
Flagged first, then by citations
1 of the 103 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
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Duncan, E., O'Cathain, A., Rousseau, N., Croot, L., Sworn, K., Turner, K. M., Yardley, L., & Hoddinott, P. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-033516 · Cited by 481 · see citing works
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User Models for Personalized Physical Activity Interventions: Scoping Review
Ghanvatkar, S., Kankanhalli, A., & Rajan, V. (2018) · JMIR mhealth and uhealth · doi:10.2196/11098 · Cited by 115 · see citing works
Sebire, S. J., Toumpakari, Z., Turner, K. M., Cooper, A. R., Page, A. S., Malpass, A., & Andrews, R. C. (2018) · BMC Public Health · doi:10.1186/s12889-018-5114-5 · Cited by 94 · see citing works
der Mispel, C. V., Poppe, L., Crombez, G., Verloigne, M., & Bourdeaudhuij, I. D. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7277 · Cited by 81 · see citing works
Baumann, H., Fiedler, J., Wunsch, K., Wöll, A., & Wollesen, B. (2022) · JMIR mhealth and uhealth · doi:10.2196/35920 · Cited by 84 · see citing works
Uthaileang, W., & Kiattisin, S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e21961 · Cited by 51 · see citing works
Scheerman, J. F. M., van Empelen, P., van Loveren, C., & van Meijel, B. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9626 · Cited by 54 · see citing works
COVID-19 Vaccine Hesitancy: The Role of Information Sources and Beliefs in Dutch Adults
de Vries, H., Verputten, W., Preissner, C. E., & Kok, G. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19063205 · Cited by 48 · see citing works
“The relevance of these post-intentional constructs has previously been demonstrated for health behaviours such as inspecting risks for hereditary cancer [20], physical activity [21], and children’s vaccination uptake by parents [22].”
BackgroundHow a Fully Automated eHealth Program Simulates Three Therapeutic Processes: A Case Study
Holter, M. T. S., Johansen, A., & Brendryen, H. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5415 · Cited by 28 · see citing works
““Endre” also builds on previous work in the application of MI [32,33] and use of lapse preparation and lapse management [31,34-37].”
BackgroundMethodTurchioe, M. R., Heitkemper, E., Lor, M., Burgermaster, M., & Mamykina, L. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.08.001 · Cited by 30 · see citing works
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Schip, C. V. H., Cheung, K. L., Vluggen, S., Hoving, C., Schaper, N. C., & de Vries, H. (2020) · Journal of Medical Internet Research · doi:10.2196/15397 · Cited by 19 · see citing works
“Type 2 diabetes mellitus is a chronic metabolic disease characterized by poor regulation of blood glucose caused by insulin resistance and beta-cell impairment [1,2].”
BackgroundMethodInfluentialJattamart, A., & Leelasantitham, A. (2019) · The Open Public Health Journal · doi:10.2174/1874944501912010387 · Cited by 18 · see citing works
AlBurno, H., Mercken, L. A. G., de Vries, H., Mohannadi, D. A., & Schneider, F. (2022) · PLoS ONE · doi:10.1371/journal.pone.0270984 · Cited by 18 · see citing works
“The ICM has been successfully used to predict and change lifestyle behaviors in people without diabetes [49–53] and in people living with type 2 diabetes [54,55].”
MethodTsakanikas, V., Gatsios, D. A., Dimopoulos, D., Pardalis, A. A., Pavlou, M., Liston, M. B., & Fotiadis, D. I. (2020) · Frontiers in Digital Health · doi:10.3389/fdgth.2020.545885 · Cited by 18 · see citing works
“A subset of research works is focused on creating personalized healthcare pathways for the management of the disease (9) or tailored intervention plans (10).”
BackgroundDumas, A., Lemieux, S., Lapointe, A., Provencher, V., Robitaille, J., & Desroches, S. (2017) · JMIR Research Protocols · doi:10.2196/resprot.7147 · Cited by 17 · see citing works
Boudreau, F., Moreau, M., & Côté, J. (2016) · JMIR Research Protocols · doi:10.2196/resprot.5019 · Cited by 15 · see citing works
“These were identified in the literature review preceding the development of both interventions [80].”
InfluentialSelf-citationVluggen, S., Hoving, C., Schaper, N. C., & de Vries, H. (2018) · Contemporary Clinical Trials · doi:10.1016/j.cct.2018.10.002 · Cited by 15 · see citing works
Jattamart, A., & Kwangsawad, A. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e08121 · Cited by 14 · see citing works
“, Using ICM, it is also possible to explore factors that have a long-term, positive impact on the acceptance of the physical activity, meaning the effectiveness of the development of the type 2 diabetes intervention at the later stages could be evaluated (Moreau et al., 2015).”
BackgroundMethodInfluentialKrukowski, R. A., DiLillo, V. G., Ingle, K., Harvey, J. R., & West, D. S. (2016) · JMIR Research Protocols · doi:10.2196/resprot.5382 · Cited by 12 · see citing works
“Previous research [25-27] has reported favorable responses of participants to online motivational interventions for increasing physical activity, although MI in these settings was delivered in a largely automated intervention.”
Preissner, C. E., Oenema, A., & de Vries, H. (2022) · BMC Psychology · doi:10.1186/s40359-022-00977-4 · Cited by 10 · see citing works
Zambrano, J., Celano, C. M., Chung, W., Massey, C. N., Feig, E. H., Millstein, R. A., Healy, B. C., Wexler, D. J., Park, E. R., Golden, J., et al. (2020) · Health Psychology and Behavioral Medicine · doi:10.1080/21642850.2020.1815538 · Cited by 7 · see citing works
Digital Health and the Future of Diabetes Management
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Mino, J., & Perrin, C. (2021) · Revue d Épidémiologie et de Santé Publique · doi:10.1016/j.respe.2021.03.002 · Cited by 6 · see citing works
Franklin, N. C., & Arena, R. A. (2016) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2016.02.003 · Cited by 5 · see citing works
Development of the web application My Stress Control—Integrating theories and existing evidence
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“Several interventions that were earlier carried out as face-to-face options have now been translated into web-based formats [2 – 4].”
BackgroundNasser, A. A., Alzahrani, R. M., Ghandoura, A. N., & Sultan, I. E. (2021) · Cureus · doi:10.7759/cureus.13882 · Cited by 4 · see citing works
“Researchers have reported an increasing number of diabetic patients using eHealth with potential benefits and risks of diabetes care [8-10].”
BackgroundAutomated e-Coaching System Architecture Framework for Promoting Physical Activity
Pratiwi, P. S., Tjondronegoro, D., Xu, Y., Li, Y., Trost, S. G., & Clanchy, K. (2018) · Intelligent Autonomous Systems · doi:10.1109/icoias.2018.8494163 · Cited by 3 · see citing works
“Many types of recent studies extend the system to provide the personalized physical activity and incorporated concepts and techniques from behavior change theories [6].”
BackgroundTriana, N., & Hendriyani, H. (2022) · Jurnal Studi Komunikasi dan Media · doi:10.17933/jskm.2022.4694 · Cited by 2 · see citing works
Cognitive Behavioral and eHealth Approaches to Promote Engagement in Treatment
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Addressing Depression and Psychological Need Satisfaction of Post-Cesarean Mothers
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Conformity of Diabetes Mobile apps with the Chronic Care Model
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“There is still a research gap to examine the effectiveness of online communication systems to support self-care.(40) More studies are needed in this regard.”
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“…in Self-Determination Theory (SDT), targeting autonomy, competence, and relatedness (Demetriou & Bachner, 2019; Friederichs et al., 2016; Gillison et al., 2019; Hsu et al., 2013; M. Lee et al., 2017; Lim & Ha, 2019; Ma & Yoo, 2021; Mayo et al., 2022; Moreau et al., 2015; Rocchi et al., 2021).”
- Authors
- Moreau, M., Gagnon, M.-P., & Boudreau, F.
- Affiliations
- Université du Québec à Trois-Rivières (CA)
- Université Laval (CA)
- Corresponding author
- Boudreau, François
- Venue
- JMIR Research Protocols
- Publisher
- JMIR Publications Inc.
- Published
- 2015-02-17
- Volume
- 4
- Issue
- 1
- Pages
- e25
- ISSN
- 1929-0748 (ISSN-L)
- PMC
- PMC4376153
- OpenAlex
- W2095169448
- Cited by
- 41
- References
- 103
- Citations by year
- 2026: 2 · 2024: 2 · 2023: 4 · 2022: 5 · 2021: 3 · 2020: 5 · 2019: 3 · 2018: 7 · 2017: 3 · 2016: 4 · 2015: 3
- FWCI
- 4.17
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Research Protocols (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Universiteit Maastricht
- Fonds de Recherche du Québec - Santé
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- type 2 diabetes, physical activity promotion, I-Change model, self-determination theory, motivational interviewing, intervention development, usability evaluation, self-monitoring, action planning, self-efficacy, motivation, aerobic exercise, sedentary behavior, health behavior change, theoretical integration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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