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The Diabetes Network Internet-Based Physical Activity Intervention
Open accessAbstract
OBJECTIVE—Because of other competing priorities, physical activity (PA) is seldom addressed in a consistent way in either primary care or diabetes education . This 8-week pilot study evaluated the short-term benefits of an Internet-based supplement to usual care that focused on providing support for sedentary patients with type 2 diabetes to increase their PA levels. RESEARCH DESIGN AND METHODS—A total of 78 type 2 diabetic patients (53% female, average age 52.3 years) were randomized to the Diabetes Network (D-Net) Active Lives PA Intervention or an Internet information-only condition. The intervention condition received goal-setting and personalized feedback, identified and developed strategies to overcome barriers, received and could post messages to an on-line “personal coach,” and were invited to participate in peer group support areas. Key outcomes included minutes of PA per week and depressive symptomatology. RESULTS—There was an overall moderate improvement in PA levels within both intervention and control conditions, but there was no significant improvement in regard to condition effects. There was substantial variability in both site use and outcomes within the intervention and control conditions. Internal analyses revealed that among intervention participants, those who used the site more regularly derived significantly greater benefits, whereas those in the control condition derived no similar benefits with increased program use. CONCLUSIONS—Internet-based self-management interventions for PA and other regimen areas have great potential to enhance the care of diabetes and other chronic conditions. We conclude that greater attention should be focused on methods to sustain involvement with Internet-based intervention health promotion programs over time.
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“Six studies used one or more theoretical models to compose the contents of the interventions.”
From Internet-based physical activity interventions: a systematic review of the literature. (2007) · cites this paper as [40]
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“All studies reported a dropout rate, with six of the 10 studies comparing the characteristics of these dropouts with the subjects that completed all outcome measurements [32,35,36,39-41].”
From Internet-based physical activity interventions: a systematic review of the literature. (2007) · cites this paper as [40]
In the citing paper
“Website exposure and program usage was positively correlated with outcomes in interventions targeting smokeless tobacco [64], depression [65], and physical activity [66].”
From A Systematic Review of the Impact of Adherence on the Effectiveness of e-Therapies (2011) · cites this paper as [66]
In the citing paper
“One study used an objective measure to assess the amount of physical activity (activity monitor), and six studies used multiple subjective measures of physical activity.”
From Internet-based physical activity interventions: a systematic review of the literature. (2007) · cites this paper as [40]
In the citing paper
“Seven studies compared two types of Internet-based physical activity interventions in which the main difference was either the intensity of contact between the participants and supervisors (4 studies) or the type of treatment procedures applied (3 studies).”
From Internet-based physical activity interventions: a systematic review of the literature. (2007) · cites this paper as [40]
In the citing paper
“Six of the 10 studies were specifically targeted at adults who were sedentary at baseline [32,37,39-41,43]; the other four studies did not employ any inclusion criteria regarding baseline physical activity level [34-36,42].”
From Internet-based physical activity interventions: a systematic review of the literature. (2007) · cites this paper as [40]
In the citing paper
“Four studies included one physical activity outcome parameter [32,35,36,41], five studies included two physical activity parameters [34,39,40,42,43], and one study reported more than two physical activity parameters [37].”
From Internet-based physical activity interventions: a systematic review of the literature. (2007) · cites this paper as [40]
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“The participants were provided the intervention in a group setting, received and could post messages to an online personal coach and participated in peer group support areas [24].”
BackgroundLorentzen, J., Greve, L. Z., Kliim‐Due, M., Rasmussen, B. A., Bilde, P. E., & Nielsen, J. B. (2015) · BMC Neurology · doi:10.1186/s12883-015-0334-0 · Cited by 41
“Such internet-based training has been tested in trials on patients with diabetes [5, 6] and rheumatoid arthritis [7] with positive results.”
Enhancing support via interactive technologies
Piette, J. D. (2002) · Current Diabetes Reports · doi:10.1007/s11892-002-0076-4 · Cited by 41
Lifestyle interventions for type 2 diabetes. Relevance for clinical practice.
Harris, S. B., Petrella, R. J., & Leadbetter, W. (2003) · PubMed Central · Cited by 39
Interactive media for diabetes self-management: issues in maximizing public health impact
Glasgow, R. E. (2010) · Medical Decision Making · doi:10.1177/0272989x10385845 · Cited by 38
Self-citationThe Internet and the therapeutic education of patients: A systematic review of the literature
Grémeaux, V., & Coudeyre, E. (2010) · Annals of Physical and Rehabilitation Medicine · doi:10.1016/j.rehab.2010.09.003 · Cited by 38
“Types de programmes et paramètres étudiés Différents types de programmes sont proposés : les plus nombreux sont des programmes restant essentiellement informatifs [6,9,10,23,26,35,37,41,42,53], mais l’on retrouve également des programmes plus interactifs [3,20,40,50,56,62], ou d’inspiration cognitivo-comportementale […”
BackgroundInfluentiale-health first impressions and visual evaluations
Lazard, A. J., & Mackert, M. (2015) · Communication Design Quarterly · doi:10.1145/2826972.2826975 · Cited by 40
A Framework for the Evaluation of Internet-based Diabetes Management
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“Patients benefit from a proactive approach to their management (in which they are not told what to do) and gain a valuable insight into the management options that may be available to them [17].”
BackgroundMethodInfluentialPhysical activity, bowel function, and quality of life among rectal cancer survivors
Krouse, R. S., Wendel, C. S., Garcia, D. O., GRANT, M. M., Temple, L. K. F., Going, S. B., Hornbrook, M. C., Bulkley, J. E., McMullen, C. K., & Herrinton, L. J. (2017) · Quality of Life Research · doi:10.1007/s11136-017-1641-2 · Cited by 37
“As with other chronic disease sufferers, PA also may improve a sense of wellbeing [19, 20], and provide the means for RC survivors to regain a sense of autonomy [21], as well as connection to and control over their bodies, countering the invasive, depersonalizing, and loss-of-control nature of major bowel surgery [22].”
BackgroundCocker, K. A. D., Spittaels, H., Cardon, G., Bourdeaudhuij, I. D., & Vandelanotte, C. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1959 · Cited by 37
“The evidence on this matter is inconsistent: while some physical activity programs did find good outcomes [34,45], others did not [46,47].”
BackgroundGamified Challenges in Online Weight-Loss Communities
Bojd, B., Song, X., Tan, Y., & Yan, X. (2022) · Information Systems Research · doi:10.1287/isre.2021.1081 · Cited by 35
Effects of an Internet Physical Activity Intervention in Adults With Metabolic Syndrome
Bosak, K., Yates, B. C., & Pozehl, B. (2009) · Western Journal of Nursing Research · doi:10.1177/0193945909333889 · Cited by 36
“, 2002), greater increases in moderate intensity physical activity in participants who used the Web site more frequently (McKay et al., 2001), and a trend toward more time spent in activities in the intervention compared with the control group (Marshall et al.”
BackgroundWeb-Assisted Instruction for Changing Social Cognitive Variables Related to Physical Activity
Suminski, R. R., Jr., & Petosa, R. L. (2006) · Journal of American College Health · doi:10.3200/jach.54.4.219-226 · Cited by 36
Bhochhibhoya, A., Hayes, L., Branscum, P., & Taylor, L. (2015) · Alcohol and Alcoholism · doi:10.1093/alcalc/agv047 · Cited by 35
The Effectiveness of Distance Interventions for Increasing Physical Activity: A Review
Jenkins, A., Christensen, H. M., Walker, J. G., & Dear, K. B. G. (2009) · American Journal of Health Promotion · doi:10.4278/ajhp.0801158 · Cited by 35
“found that few participants used an interactive discussion board, McKay et al.(56) found substantial variation in Web site use, and Napolitano et al.”
BackgroundInfluentialSlootmaker, S. M., Paw, M. J. C. A., Schuit, A. J., Seidell, J. C., & van Mechelen, W. (2005) · BMC Public Health · doi:10.1186/1471-2458-5-134 · Cited by 35
Creber, R. M., Prey, J. E., Ryan, B., Alarcon, I. J., Qian, M., Henry, S. B., Feiner, S., Hripcsak, G. M., Polubriaginof, F. C. G., Restaino, S. W., et al. (2016) · Contemporary Clinical Trials · doi:10.1016/j.cct.2016.01.005 · Cited by 34
“In part, we based this assumption on a study measuring differences in patient satisfaction among patients using a tailored Internet-based tool for diabetes management compared with patients accessing general Internet resources [54].”
MethodInfluentialBrown, L. L., Lustria, M. L. A., & Rankins, J. (2007) · Journal of Diabetes Science and Technology · doi:10.1177/193229680700100615 · Cited by 34
“Patients transmit data into EMR 32,39,45,46,55,72,73,78,89,96,98 Patients access website information 35, 38,42,43, 44,45,46,55,89,131 Low literacy diabetes education 121 Tailored self care 13,40 Self-management support group 17,18,24,38,42,44,73 Electronic diary to record food intake and/or…”
BackgroundArsh, A., Afaq, S., Carswell, C., Bhatti, M. M., Ullah, I., & Siddiqi, N. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.02.122 · Cited by 33
Australian College of Rural and Remote Medicine
Nichols, A., Streeton, M., & Cowie, M. (2002) · Australian Journal of Rural Health · doi:10.1046/j.1440-1584.2002.00480.x · Cited by 33
Computerized Tailored Physical Activity Reports
Carroll, J. K., Lewis, B. A., Marcus, B. H., Lehman, E. B., Shaffer, M. L., & Sciamanna, C. (2010) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2010.04.005 · Cited by 33
Kline, P. W., Melanson, E. L., Sullivan, W. J., Blatchford, P. J., Miller, M. J., Stevens‐Lapsley, J. E., & Christiansen, C. L. (2018) · Physical Therapy · doi:10.1093/ptj/pzy119 · Cited by 31
Rydell, S. A., French, S. A., Fulkerson, J. A., Neumark‐Sztainer, D., Gerlach, A. F., Story, M. T., & Christopherson, K. K. (2005) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2005.06.027 · Cited by 31
Granger, D., Vandelanotte, C., Duncan, M. J., Alley, S., Schöeppe, S., Short, C. E., & Rebar, A. L. (2016) · BMC Public Health · doi:10.1186/s12889-016-3316-2 · Cited by 32
“Although a large amount of research conducted on eHealth behaviour change interventions has shown to be effective to some extent [14–16], there are several studies that have shown ambiguous or no substantial effect of health behaviour programs [17, 18].”
BackgroundComputerized Learning Technologies for Diabetes: A Systematic Review
Boren, S. A., Gunlock, T. L., Peeples, M., & Krishna, S. (2008) · Journal of Diabetes Science and Technology · doi:10.1177/193229680800200121 · Cited by 30
Lessons Learned From the Implementation of a Web-based Nursing Intervention
Bond, G. E. (2006) · CIN Computers Informatics Nursing · doi:10.1097/00024665-200603000-00004 · Cited by 30
Effect of Peer Mentoring on Quality of Life among CKD Patients: Randomized Controlled Trial
Ghahramani, N., Chinchilli, V. M., Kraschnewski, J. L., Lengerich, E. J., & Sciamanna, C. (2021) · Kidney Diseases · doi:10.1159/000514477 · Cited by 30
Computer-aided diabetes education: a synthesis of randomized controlled trials.
Boren, S. A., Gunlock, T. L., Krishna, S., & Kramer, T. C. (2006) · Europe PMC (PubMed Central) · Cited by 28
Howard, M. C., & Jayne, B. S. (2015) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2014.0418 · Cited by 28
“12 Although an array of research designs have been applied to study these topics, the most popular research methodology within psychology is still the simple survey research design.”
Media Reinforcement for Psychological Empowerment in Chronic Disease Management
Ghosh, K., Khuntia, J., Chawla, S. K., & Deng, X. (2014) · Communications of the Association for Information Systems · doi:10.17705/1cais.03422 · Cited by 28
Metadata
- Authors
- McKay, H. G., King, D., Eakin, E. G., Seeley, J. R., & Glasgow, R. E.
- Affiliations
- Oregon Research Institute (US)
- AMC Cancer Research Center, Denver, Colorado
- Queensland University of Technology (AU)
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2001-08-01
- Volume
- 24
- Issue
- 8
- Pages
- 1328-1334
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2119360108
- Cited by
- 363
- References
- 28
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 4 · 2023: 6 · 2022: 9 · 2021: 7 · 2020: 3 · 2019: 6 · 2018: 9 · 2017: 9 · 2016: 13 · 2015: 14 · 2014: 19 · 2013: 25 · 2012: 23
- FWCI
- 37.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01dk051581-04)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK-51581)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- type 2 diabetes, physical activity, online intervention, goal setting, personalized feedback, online coaching, peer support, sedentary patients, depressive symptoms, program use
- MeSH terms
- Computer-Assisted Instruction, Computer Communication Networks, Diabetes Mellitus, Type 2, Female, Humans, Male, Middle Aged, Patient Education as Topic, Pilot Projects, Exercise, Walking, Treatment Outcome, Internet
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