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Nutrients
Volume 11
Issue 3
10.3390/nu11030590
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Article

A Pilot Randomised Controlled Trial of a Text Messaging Intervention with Customisation Using Linked Data from Wireless Wearable Activity Monitors to Improve Risk Factors Following Gestational Diabetes

by
N. Wah Cheung
1,2,*,
Caron Blumenthal
3,
Ben J. Smith
4,
Roslyn Hogan
1,
Aravinda Thiagalingam
2,5,
Julie Redfern
2,
Tony Barry
5,
Nancy Cinnadaio
1 and
Clara K. Chow
2,5
1
Department of Diabetes & Endocrinology, Westmead Hospital, Westmead NSW 2145, Australia
2
Westmead Clinical School & Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Westmead NSW 2145, Australia
3
Division of Women and Newborn Health, Westmead Hospital, Westmead NSW 2145, Australia
4
School of Public Health, University of Sydney, Sydney NSW 2006, Australia
5
Department of Cardiology, Westmead Hospital, Westmead NSW 2145, Australia
*
Author to whom correspondence should be addressed.
Nutrients 2019, 11(3), 590; https://doi.org/10.3390/nu11030590
Received: 21 January 2019 / Revised: 5 March 2019 / Accepted: 5 March 2019 / Published: 11 March 2019
(This article belongs to the Special Issue Nutrition and Gestational Diabetes)
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Abstract

Gestational diabetes (GDM) is a highly prevalent disorder of pregnancy which portends a high risk for future type 2 diabetes. Limited evidence indicates lifestyle intervention prevents the development of diabetes, but most previously studied interventions are resource-intensive. Intervention programs that utilise newer technologies may be scalable at lower cost. This 6-month pilot randomized controlled trial tested the delivery of text messages linked to an activity monitor, adaptive physical activity goal setting, and limited face-to-face counseling, as an intervention to improve rates of post-partum glucose tolerance testing and lifestyle behaviours amongst women following a GDM pregnancy. Sixty subjects were randomised 2:1 intervention vs. control. Compared to control subjects, there were trends for intervention subjects to improve diet, increase physical activity, and lose weight. There was no difference between the groups in the rate of glucose tolerance testing. Only 46 (77%) subjects completed some, and 19 subjects completed all the elements of the final evaluation. Feedback regarding the text messages and activity monitor was highly positive. Overall, results suggest that a text message and activity monitor intervention is feasible for a larger study or even as a potentially scalable population health intervention. However, low completion rates necessitate carefully considered modification of the protocol. View Full-Text
Keywords: gestational diabetes; lifestyle program; M-health; text messaging; activity monitor; diabetes prevention; randomized controlled trial gestational diabetes; lifestyle program; M-health; text messaging; activity monitor; diabetes prevention; randomized controlled trial
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MDPI and ACS Style

Cheung, N.W.; Blumenthal, C.; Smith, B.J.; Hogan, R.; Thiagalingam, A.; Redfern, J.; Barry, T.; Cinnadaio, N.; Chow, C.K. A Pilot Randomised Controlled Trial of a Text Messaging Intervention with Customisation Using Linked Data from Wireless Wearable Activity Monitors to Improve Risk Factors Following Gestational Diabetes. Nutrients 2019, 11, 590. https://doi.org/10.3390/nu11030590

AMA Style

Cheung NW, Blumenthal C, Smith BJ, Hogan R, Thiagalingam A, Redfern J, Barry T, Cinnadaio N, Chow CK. A Pilot Randomised Controlled Trial of a Text Messaging Intervention with Customisation Using Linked Data from Wireless Wearable Activity Monitors to Improve Risk Factors Following Gestational Diabetes. Nutrients. 2019; 11(3):590. https://doi.org/10.3390/nu11030590

Chicago/Turabian Style

Cheung, N. Wah, Caron Blumenthal, Ben J. Smith, Roslyn Hogan, Aravinda Thiagalingam, Julie Redfern, Tony Barry, Nancy Cinnadaio, and Clara K. Chow. 2019. "A Pilot Randomised Controlled Trial of a Text Messaging Intervention with Customisation Using Linked Data from Wireless Wearable Activity Monitors to Improve Risk Factors Following Gestational Diabetes" Nutrients 11, no. 3: 590. https://doi.org/10.3390/nu11030590

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