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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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“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
“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]
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
“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
“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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"I'm Done with Cancer. What am I Trying to Improve?"
Kabir, K. S., Blarigan, E. L. V., Chan, J. M., Kenfield, S. A., & Wiese, J. (2019) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3329189.3329207 · Cited by 6
“However, the majority of these studies are focused on behavior change for health conditions like diabetes [37, 40], obesity [3, 10], and asthma [25, 51].”
BackgroundPhillips, K., Stokols, D., McMahan, S., & Grzywacz, J. G. (2004) · American Journal of Health Promotion · doi:10.4278/0890-1171-19.2.tahp-1 · Cited by 6
The Impact of ICT on Health Promotion: A Randomized Experiment with Diabetic Patients
Balsa, A. I., & Gandelman, N. (2011) · doi:10.2139/ssrn.1818754 · Cited by 5
“Our results present a less optimistic picture of the potential benefits of web platforms for the empowerment of patients with chronic diseases than some of the previous literature (Harno et al., 2006; Meigs et al., 2003; and McKay et al., 2001).”
ResultLa télémédecine appliquée au diabète : les résultats acquis et les perspectives à venir
Franc, S., Dardari, D., Boucherie, B., Daoudi, A., & Charpentier, G. (2010) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(10)70060-2 · Cited by 5
Hemmis, L., de Vries, H., Vandelanotte, C., Short, C. E., Duncan, M. J., Burton, N. W., & Rebar, A. L. (2015) · Mental health and physical activity · doi:10.1016/j.mhpa.2015.08.001 · Cited by 5
Taylor, J. D. (2008) · The Journal of Strength and Conditioning Research · doi:10.1519/jsc.0b013e318182160b · Cited by 5
“The results of a previous study indicate that an Internetdelivered physical activity intervention consisting of an interactive Web site and e-mail can improve self-reported physical activity in people with type 2 diabetes (23).”
ResultJiang, L., Zhao, M., & Hu, D. (2005) · PubMed · Cited by 5
The max for the minimum: brief behavioral interventions can have important HIV prevention benefits.
RIETMEIJER, C. A. M. (2003) · PubMed · doi:10.1097/01.aids.0000076279.54156.37 · Cited by 5
“ventions in other areas of disease prevention, for example in diabetes care [7], are encouraging.”
BackgroundGoal Setting to Promote a Health Lifestyle.
Paxton, R. J., Taylor, W. C., Evans-Hudnall, G. L., & Christie, J. (2012) · PubMed · Cited by 4
Model of Chronic Care Enabled with Information Technology
Duplaga, M., & Winnem, O. M. (2007) · Springer eBooks · doi:10.1007/1-84628-141-5_11 · Cited by 4
RIETMEIJER, C. A. M. (2003) · AIDS · doi:10.1097/00002030-200307040-00018 · Cited by 4
Profil des visiteurs du site Web de Canada en mouvement
Plotnikoff, R. C., Spence, J. C., Tavares, L. S., Rovniak, L. S., Bauman, A. E., Lear, S. A., & McCargar, L. J. (2006) · Canadian Journal of Public Health · doi:10.1007/bf03405362 · Cited by 4
Determinants of Participation in Walking Program with Information Technology
Harada, K., Yamawaki, K., Akiyama, Y., Oka, K., & Nakamura, Y. (2008) · International Journal of Sport and Health Science · doi:10.5432/ijshs.ijshs20070293 · Cited by 4
Profil des visiteurs du site Web de Canada en mouvement
Plotnikoff, R. C., Spence, J. C., Tavares, L. S., Rovniak, L. S., Bauman, A. E., Lear, S. A., & McCargar, L. J. (2006) · doi:10.17269/cjph.97.1554 · Cited by 4
Gordon, M. A. (2014) · University of Salford Institutional Repository (University of Salford) · Cited by 4
Finnell, D. S., & Nowzari, S. (2013) · Nursing Clinics of North America · doi:10.1016/j.cnur.2013.04.004 · Cited by 3
Identifying and Addressing the Barriers to the Use of an Internet-Register for Multiple Sclerosis
Osborne, L. A., Lockhart-Jones, H. M., Middleton, R., Thompson, S., Maramba, I. D. C., Jones, K. H., Ford, D. V., & Noble, J. G. (2013) · International Journal of Healthcare Information Systems and Informatics · doi:10.4018/jhisi.2013010101 · Cited by 3
USING PAPER-BASED SCENARIOS TO EXAMINE PERCEPTIONS OF INTERACTIVE HEALTH COMMUNICATION SYSTEMS
Lankton, N. K., & St, R. D. (2005) · Cited by 3
Rote, A. E. (2013) · UWM Digital Commons (University of Wisconsin–Milwaukee) · Cited by 3
Télémédecine et diabète : état de l’art et perspectives
Franc, S., Daoudi, A., Mounier, S., Boucherie, B., Laroye, H., Coyne, A.-C., Neraud, B., Dardari, D., & Charpentier, G. (2011) · Sang thrombose vaisseaux · doi:10.1684/stv.2011.0600 · Cited by 3
Park, J. S., & Kwon, S.-M. (2008) · Daehan ganho haghoeji · doi:10.4040/jkan.2008.38.3.393 · Cited by 3
Cranney, L., & Bauman, A. E. (2004) · New South Wales Public Health Bulletin · doi:10.1071/nb04013 · Cited by 3
“This study also aimed to compare the prevalence of risk factors for DM (diet, physical activity participation, and weight) in people with DM to those without DM.”
BackgroundInfluential
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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