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Randomised Controlled Trial of a Customised Text Messaging and Activity Monitor Program for Lifestyle Improvement
Ngai Wah Cheung1,2,3, David Simmons4,5, Simone Marschner1
1Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.
Nutrients
|March 28, 2024
Summary
A text-messaging lifestyle program did not improve diabetes risk factors for women with gestational diabetes (GDM) post-delivery. COVID-19 restrictions impacted results, though participants found messages motivational.
Area of Science:
- Obstetrics and Gynecology
- Public Health
- Endocrinology
Background:
- Gestational diabetes mellitus (GDM) increases long-term diabetes risk for women.
- Lifestyle interventions are crucial for managing post-GDM health.
- The impact of digital health interventions during global health crises requires investigation.
Purpose of the Study:
- To evaluate a text-messaging lifestyle support program's effectiveness in improving diabetes risk factors after GDM.
- To assess the influence of COVID-19 restrictions on intervention outcomes.
Main Methods:
- Randomized controlled trial involving 177 women post-GDM.
- Intervention group received weekly text messages and activity monitor feedback; control group received activity monitor only for 6 months.
- Primary outcome: composite of weight, physical activity, and dietary goals.
Main Results:
- No significant difference in the primary composite outcome between groups (12% intervention vs. 11% control).
- Intervention group showed increased daily step counts (p=0.03) between 3-6 months postpartum.
- Qualitative data indicated healthier choices were made but hampered by COVID-19 restrictions.
Conclusions:
- The text-messaging intervention did not significantly improve diabetes risk factors in women with GDM during COVID-19 lockdowns.
- While participants found the intervention motivational, external factors limited its overall efficacy.
- Further research is needed to optimize digital health interventions in challenging circumstances.
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