Literature DB >> 31542128

Efficacy of an m-Health Physical Activity and Sleep Health Intervention for Adults: A Randomized Waitlist-Controlled Trial.

Beatrice Murawski1, Ronald C Plotnikoff2, Anna T Rayward1, Christopher Oldmeadow3, Corneel Vandelanotte4, Wendy J Brown5, Mitch J Duncan6.   

Abstract

INTRODUCTION: Interventions that improve both physical activity and sleep quality may be more effective in improving overall health. The purpose of the Synergy Study is to test the efficacy of a mobile health combined behavior intervention targeting physical activity and sleep quality. STUDY
DESIGN: Randomized, waitlist-controlled trial. SETTING/PARTICIPANTS: This study had an app-based delivery mode, Australia-wide. The participants were 160 adults who reported insufficient physical activity and poor sleep quality in an eligibility survey. INTERVENTION: The intervention was a mobile app providing educational resources, goal setting, self-monitoring, and feedback strategies. It included 12 weeks of personalized support including weekly reports, tool sheets, and prompts. MAIN OUTCOME MEASURES: Outcomes were assessed at baseline, 3 months (primary), and 6 months (secondary endpoint). Self-reported minutes of moderate-to-vigorous intensity physical activity and sleep quality were co-primary outcomes. Resistance training; sitting time; sleep hygiene; sleep timing variability; insomnia severity; daytime sleepiness; quality of life; and depression, anxiety, and stress symptoms were secondary outcomes. Data were collected between June 2017 and February 2018 and analyzed in August 2018.
RESULTS: At 3 months, between-group differences in moderate-to-vigorous intensity physical activity were not statistically significant (p=0.139). Significantly more participants in the intervention group engaged in ≥2 days/week (p=0.004) of resistance training. The intervention group reported better overall sleep quality (p=0.009), subjective sleep quality (p=0.017), sleep onset latency (p=0.013), waketime variability (p=0.018), sleep hygiene (p=0.027), insomnia severity (p=0.002), and lower stress symptoms (p=0.032) relative to waitlist controls. At 6 months, group differences were maintained for sleep hygiene (p=0.048), insomnia severity (p=0.002), and stress symptoms (p=0.006). Differences were observed for bedtime variability (p=0.023), sleepiness (p<0.001), daytime dysfunction (p=0.039), and anxiety symptoms (p=0.003) at 6 months, but not 3 months.
CONCLUSIONS: This remotely delivered intervention did not produce statistically significant between-group differences in minutes of moderate-to-vigorous intensity physical activity. Significant short-term differences in resistance training and short- and medium-term differences in sleep health in favor of the intervention were observed. TRIAL REGISTRATION: This study is registered at anzctr.org.au ACTRN12617000376347.
Copyright © 2019 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 31542128     DOI: 10.1016/j.amepre.2019.05.009

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  11 in total

1.  The Effects of Objective Push-Type Sleep Feedback on Habitual Sleep Behavior and Momentary Symptoms in Daily Life: mHealth Intervention Trial Using a Health Care Internet of Things System.

Authors:  Hiroki Takeuchi; Kaori Suwa; Akifumi Kishi; Toru Nakamura; Kazuhiro Yoshiuchi; Yoshiharu Yamamoto
Journal:  JMIR Mhealth Uhealth       Date:  2022-10-06       Impact factor: 4.947

Review 2.  Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review.

Authors:  Robert Jakob; Samira Harperink; Aaron Maria Rudolf; Elgar Fleisch; Severin Haug; Jacqueline Louise Mair; Alicia Salamanca-Sanabria; Tobias Kowatsch
Journal:  J Med Internet Res       Date:  2022-05-25       Impact factor: 7.076

3.  Impact of a Social Media Campaign on Reach, Uptake, and Engagement with a Free Web- and App-Based Physical Activity Intervention: The 10,000 Steps Australia Program.

Authors:  Anna T Rayward; Corneel Vandelanotte; Kelly Corry; Anetta Van Itallie; Mitch J Duncan
Journal:  Int J Environ Res Public Health       Date:  2019-12-12       Impact factor: 3.390

4.  Effect of a physical activity and sleep m-health intervention on a composite activity-sleep behaviour score and mental health: a mediation analysis of two randomised controlled trials.

Authors:  Mitch J Duncan; Anna T Rayward; Elizabeth G Holliday; Wendy J Brown; Corneel Vandelanotte; Beatrice Murawski; Ronald C Plotnikoff
Journal:  Int J Behav Nutr Phys Act       Date:  2021-03-25       Impact factor: 6.457

5.  Advancing Behavioral Intervention and Theory Development for Mobile Health: The HeartSteps II Protocol.

Authors:  Donna Spruijt-Metz; Benjamin M Marlin; Misha Pavel; Daniel E Rivera; Eric Hekler; Steven De La Torre; Mohamed El Mistiri; Natalie M Golaszweski; Cynthia Li; Rebecca Braga De Braganca; Karine Tung; Rachael Kha; Predrag Klasnja
Journal:  Int J Environ Res Public Health       Date:  2022-02-17       Impact factor: 3.390

6.  The effects of a real-life lifestyle program on physical activity and objective and subjective sleep in adults aged 55+ years.

Authors:  J Vanderlinden; F Boen; S Van Puyenbroeck; J G Z van Uffelen
Journal:  BMC Public Health       Date:  2022-02-19       Impact factor: 3.295

7.  Effectiveness of physical activity monitors in adults: systematic review and meta-analysis.

Authors:  Rasmus Tolstrup Larsen; Vibeke Wagner; Christoffer Bruun Korfitsen; Camilla Keller; Carsten Bogh Juhl; Henning Langberg; Jan Christensen
Journal:  BMJ       Date:  2022-01-26

8.  The Association Between Logging Steps Using a Website, App, or Fitbit and Engaging With the 10,000 Steps Physical Activity Program: Observational Study.

Authors:  Anna T Rayward; Corneel Vandelanotte; Anetta Van Itallie; Mitch J Duncan
Journal:  J Med Internet Res       Date:  2021-06-18       Impact factor: 5.428

9.  Feasibility and Preliminary Efficacy of an m-Health Intervention Targeting Physical Activity, Diet, and Sleep Quality in Shift-Workers.

Authors:  Stina Oftedal; Tracy Burrows; Sasha Fenton; Beatrice Murawski; Anna B Rayward; Mitch J Duncan
Journal:  Int J Environ Res Public Health       Date:  2019-10-10       Impact factor: 3.390

10.  Sleep Education for Elders Program (SLEEP): Promising Pilot Results of a Virtual, Health Educator-Led, Community-Delivered Sleep Behavior Change Intervention.

Authors:  Robin M Tucker; Dawn A Contreras; Breanne R Carlson; Anita Carter; Christopher L Drake
Journal:  Nat Sci Sleep       Date:  2021-05-19
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