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Items: 1 to 20 of 53

1.

Long-Term Effects of an Internet-Mediated Pedometer-Based Walking Program for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial.

Moy ML, Martinez CH, Kadri R, Roman P, Holleman RG, Kim HM, Nguyen HQ, Cohen MD, Goodrich DE, Giardino ND, Richardson CR.

J Med Internet Res. 2016 Aug 8;18(8):e215. doi: 10.2196/jmir.5622.

2.

Reciprocal Reinforcement Between Wearable Activity Trackers and Social Network Services in Influencing Physical Activity Behaviors.

Chang RC, Lu HP, Yang P, Luarn P.

JMIR Mhealth Uhealth. 2016 Jul 5;4(3):e84. doi: 10.2196/mhealth.5637.

3.

Web-based interventions in multiple sclerosis: the potential of tele-rehabilitation.

Tallner A, Pfeifer K, Mäurer M.

Ther Adv Neurol Disord. 2016 Jul;9(4):327-35. doi: 10.1177/1756285616640684. Epub 2016 Apr 6. Review.

4.

Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man).

White BK, Martin A, White JA, Burns SK, Maycock BR, Giglia RC, Scott JA.

JMIR Mhealth Uhealth. 2016 Jun 27;4(2):e81. doi: 10.2196/mhealth.5652.

5.

A Web-Based and Mobile Health Social Support Intervention to Promote Adherence to Inhaled Asthma Medications: Randomized Controlled Trial.

Koufopoulos JT, Conner MT, Gardner PH, Kellar I.

J Med Internet Res. 2016 Jun 13;18(6):e122. doi: 10.2196/jmir.4963.

6.

What Online User Innovation Communities Can Teach Us about Capturing the Experiences of Patients Living with Chronic Health Conditions. A Scoping Review.

Amann J, Zanini C, Rubinelli S.

PLoS One. 2016 Jun 7;11(6):e0156175. doi: 10.1371/journal.pone.0156175. eCollection 2016.

7.

The Empirical Foundations of Telemedicine Interventions in Primary Care.

Bashshur RL, Howell JD, Krupinski EA, Harms KM, Bashshur N, Doarn CR.

Telemed J E Health. 2016 May;22(5):342-75. doi: 10.1089/tmj.2016.0045.

PMID:
27128779
8.

Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis.

Mercer K, Li M, Giangregorio L, Burns C, Grindrod K.

JMIR Mhealth Uhealth. 2016 Apr 27;4(2):e40. doi: 10.2196/mhealth.4461.

9.

The Pros and Cons of Getting Engaged in an Online Social Community Embedded Within Digital Cognitive Behavioral Therapy for Insomnia: Survey Among Users.

Coulson NS, Smedley R, Bostock S, Kyle SD, Gollancz R, Luik AI, Hames P, Espie CA.

J Med Internet Res. 2016 Apr 25;18(4):e88. doi: 10.2196/jmir.5654.

10.

Web-Based Interventions Targeting Cardiovascular Risk Factors in Middle-Aged and Older People: A Systematic Review and Meta-Analysis.

Beishuizen CR, Stephan BC, van Gool WA, Brayne C, Peters RJ, Andrieu S, Kivipelto M, Soininen H, Busschers WB, Moll van Charante EP, Richard E.

J Med Internet Res. 2016 Mar 11;18(3):e55. doi: 10.2196/jmir.5218.

11.

A Group-Based Mobile Application to Increase Adherence in Exercise and Nutrition Programs: A Factorial Design Feasibility Study.

Du H, Venkatakrishnan A, Youngblood GM, Ram A, Pirolli P.

JMIR Mhealth Uhealth. 2016 Jan 15;4(1):e4. doi: 10.2196/mhealth.4900.

12.

VisOHC: Designing Visual Analytics for Online Health Communities.

Kwon BC, Kim SH, Lee S, Choo J, Huh J, Yi JS.

IEEE Trans Vis Comput Graph. 2016 Jan;22(1):71-80. doi: 10.1109/TVCG.2015.2467555.

13.

Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia.

Guertler D, Vandelanotte C, Kirwan M, Duncan MJ.

J Med Internet Res. 2015 Jul 15;17(7):e176. doi: 10.2196/jmir.4339.

14.

Do wearable activity trackers have a place in pharmacies?

Mercer K, Li M, Grindrod KA.

Can Pharm J (Ott). 2015 May;148(3):134-7. doi: 10.1177/1715163515579221. No abstract available.

15.

The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness.

Balatsoukas P, Kennedy CM, Buchan I, Powell J, Ainsworth J.

J Med Internet Res. 2015 Jun 11;17(6):e141. doi: 10.2196/jmir.3662. Review.

16.

Social media and mobile applications in chronic disease prevention and management.

Santoro E, Castelnuovo G, Zoppis I, Mauri G, Sicurello F.

Front Psychol. 2015 May 7;6:567. doi: 10.3389/fpsyg.2015.00567. eCollection 2015. No abstract available.

17.

Classification of accelerometer wear and non-wear events in seconds for monitoring free-living physical activity.

Zhou SM, Hill RA, Morgan K, Stratton G, Gravenor MB, Bijlsma G, Brophy S.

BMJ Open. 2015 May 11;5(5):e007447. doi: 10.1136/bmjopen-2014-007447.

18.

The eHealth Enhanced Chronic Care Model: a theory derivation approach.

Gee PM, Greenwood DA, Paterniti DA, Ward D, Miller LM.

J Med Internet Res. 2015 Apr 1;17(4):e86. doi: 10.2196/jmir.4067.

19.

An Internet-Mediated Pedometer-Based Program Improves Health-Related Quality-of-Life Domains and Daily Step Counts in COPD: A Randomized Controlled Trial.

Moy ML, Collins RJ, Martinez CH, Kadri R, Roman P, Holleman RG, Kim HM, Nguyen HQ, Cohen MD, Goodrich DE, Giardino ND, Richardson CR.

Chest. 2015 Jul;148(1):128-37. doi: 10.1378/chest.14-1466.

20.

Effectiveness of a web-based, computer-tailored, pedometer-based physical activity intervention for adults: a cluster randomized controlled trial.

Compernolle S, Vandelanotte C, Cardon G, De Bourdeaudhuij I, De Cocker K.

J Med Internet Res. 2015 Feb 9;17(2):e38. doi: 10.2196/jmir.3402.

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