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Mitchell JA, Morales KH, Williamson AA, Jawahar A, Juste L, Vajravelu ME, Zemel BS, Dinges DF, Fiks AG. Promoting Sleep Duration in the Pediatric Setting Using a Mobile Health Platform: A Randomized Optimization Trial. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.04.23284151. [PMID: 36711634 PMCID: PMC9882437 DOI: 10.1101/2023.01.04.23284151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Objective Determine the optimal combination of digital health intervention component settings that increase average sleep duration by ≥30 minutes per weeknight. Methods Optimization trial using a 25 factorial design. The trial included 2 week run-in, 7 week intervention, and 2 week follow-up periods. Typically developing children aged 9-12y, with weeknight sleep duration <8.5 hours were enrolled (N=97). All received sleep monitoring and performance feedback. The five candidate intervention components (with their settings to which participants were randomized) were: 1) sleep goal (guideline-based or personalized); 2) screen time reduction messaging (inactive or active); 3) daily routine establishing messaging (inactive or active); 4) child-directed loss-framed financial incentive (inactive or active); and 5) caregiver-directed loss-framed financial incentive (inactive or active). The primary outcome was weeknight sleep duration (hours per night). The optimization criterion was: ≥30 minutes average increase in sleep duration on weeknights. Results Average baseline sleep duration was 7.7 hours per night. The highest ranked combination included the core intervention plus the following intervention components: sleep goal (either setting was effective), caregiver-directed loss-framed incentive, messaging to reduce screen time, and messaging to establish daily routines. This combination increased weeknight sleep duration by an average of 39.6 (95% CI: 36.0, 43.1) minutes during the intervention period and by 33.2 (95% CI: 28.9, 37.4) minutes during the follow-up period. Conclusions Optimal combinations of digital health intervention component settings were identified that effectively increased weeknight sleep duration. This could be a valuable remote patient monitoring approach to treat insufficient sleep in the pediatric setting.
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Affiliation(s)
- Jonathan A Mitchell
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Division of Gastroenterology, Hepatology and Nutrition, Children's Hospital of Philadelphia, Philadelphia
- The Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, Philadelphia
| | - Knashawn H Morales
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ariel A Williamson
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- The Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, Philadelphia
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, Philadelphia
| | - Abigail Jawahar
- Division of Gastroenterology, Hepatology and Nutrition, Children's Hospital of Philadelphia, Philadelphia
| | - Lionola Juste
- Division of Gastroenterology, Hepatology and Nutrition, Children's Hospital of Philadelphia, Philadelphia
| | - Mary Ellen Vajravelu
- Division of Pediatric Endocrinology, Diabetes and Metabolism, UPMC Children's Hospital of Pittsburgh, Pittsburgh
| | - Babette S Zemel
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Division of Gastroenterology, Hepatology and Nutrition, Children's Hospital of Philadelphia, Philadelphia
| | - David F Dinges
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Alexander G Fiks
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, Philadelphia
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Vajravelu ME, Hitt TA, Mak N, Edwards A, Mitchell J, Schwartz L, Kelly A, Amaral S. Text Messages and Financial Incentives to Increase Physical Activity in Adolescents With Prediabetes and Type 2 Diabetes: Web-Based Group Interviews to Inform Intervention Design. JMIR Diabetes 2022; 7:e33082. [PMID: 35384850 PMCID: PMC9021947 DOI: 10.2196/33082] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 11/08/2021] [Accepted: 12/09/2021] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Physical activity is a major component of treatment for adolescents with obesity and prediabetes or type 2 diabetes; however, sedentary behavior remains pervasive. An SMS text message-based intervention paired with financial incentives may be an effective way to promote physical activity in this population. OBJECTIVE This study aims to obtain end-user feedback on SMS text message content and assess the acceptability of a planned SMS text messaging intervention with financial incentives to motivate youth with prediabetes or type 2 diabetes to increase physical activity. METHODS Adolescents with overweight or obesity and prediabetes or type 2 diabetes who attended a large academic pediatric endocrinology clinic were recruited to participate in group interviews (2-4/group) via videoconferencing. Participants were asked to share their thoughts on the use of SMS text messages and financial incentives to remind and motivate them to be more physically active. They rated and provided feedback on specific messages to be used in clinical trials. Participants were also asked about their personal experience with rewards to motivate behavior change and their anticipated reactions to rewards provided for goal attainment (gain-framing) versus those provided and then taken away if a goal was not met (loss-framing). The interviews were conducted by 2 trained interviewers and a note-taker. Content analysis was used to explore themes. RESULTS Group interviews were completed with 20 participants (11/20, 55% women; 15/20, 75% with type 2 diabetes; 5/20, 25% with prediabetes) with a mean age of 15 (SD 1; range 12-18) years and a mean BMI of 41 (SD 5) kg/m2 (all >95th percentile for age and sex). Most participants were non-Hispanic Black (14/20, 70%) and 10% (2/20) were Hispanics. Participants frequently cited near-continuous smartphone use and agreed that SMS text messages would serve as good reminders to be physically active, but the consensus about the need for short messages was strong. Favorable content included references to what they were likely to be doing when messages were sent (eg, homework or watching television) and messages that were upbeat or informative. Specific physical activity suggestions were rated favorably. Attitudes toward financial incentives varied, with differing opinions about whether loss-framed incentives would be motivating or discouraging. Many participants highlighted the role of intrinsic, rather than extrinsic, motivation in achieving and sustaining behavior change. CONCLUSIONS The engagement of adolescents with obesity and diabetes or prediabetes allowed for the refinement of SMS text messages for our planned intervention, with an emphasis on short, upbeat, relatable, and informative messages. Although an SMS text messaging intervention using financial incentives to motivate youth with prediabetes or type 2 diabetes to be more physically active is theoretically acceptable, the impact on actual activity levels in this population requires prospective evaluation in a clinical trial.
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Affiliation(s)
- Mary Ellen Vajravelu
- Division of Pediatric Endocrinology, Diabetes, and Metabolism, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- Center for Pediatric Research in Obesity and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Talia Alyssa Hitt
- Division of Pediatric Endocrinology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - NaDea Mak
- Division of Endocrinology & Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Aliya Edwards
- Division of Nephrology, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Jonathan Mitchell
- Division of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Lisa Schwartz
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Center for Childhood Cancer Research, Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Andrea Kelly
- Division of Endocrinology & Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Sandra Amaral
- Division of Nephrology, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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