Pedometers and Text Messaging to Increase Physical Activity

Newton, Kirsty; Wiltshire, Esko; Elley, C Raina

doi:10.2337/dc08-1974

Cited by 129 publications

(211 citation statements)

References 8 publications

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“…26 Results did not show increase in PA or significant reduction in BMI and A1C. Suboptimal adherence to intervention (pedometer use was terminated by 37% before the end of the study) may explain these results to an extent.…”

Section: Physical Activity Capture Device Use For Longer Periods In T1dmentioning

confidence: 58%

Physical Activity Capture Technology With Potential for Incorporation Into Closed-Loop Control for Type 1 Diabetes

Dadlani

Levine

McCrady-Spitzer

et al. 2015

J Diabetes Sci Technol

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Type 1 diabetes (T1D) is characterized by complete or near complete absence of endogenous insulin secretion resulting in the need to deliver exogenous insulin in an individualized, precise manner.1 Current clinically approved technologies to replace insulin result in unacceptable risk for hypoglycemia, hyperglycemia, and glycemic variability (GV).2 Changes in plasma glucose concentration are more pronounced in T1D, occur rapidly and are related to food intake, physical activity and imprecise insulin delivery. The maturation of technologies such as continuous glucose monitoring (CGM), continuous subcutaneous insulin infusion (CSII) or insulin pump, rapid acting insulin analogs and closed-loop control (CLC) algorithms that deliver insulin based on CGM data processing has resulted in CLC therapy becoming an area of active research with rapid therapeutic translation to clinical practice. 4 Current CLC studies show significant improvement in hypoglycemia and a bigger burden of hyperglycemia relative to time spent in hypoglycemic range. 4,5 Occurrence of hyper and hypoglycemia with current CLC, the burden associated with current CLC and limitations of eligible populations to use current technologies indicate the need for further innovation. Important variables in this context with potentially significant effect sizes are physical activity and meals. Significant efforts have been made to model the aforementioned parameters and understand their effect on glucose-insulin dynamics by incorporating/adapting them into CLC simulators. 6,7 Even though the day to day effect of physical activity on glucose status poses major challenges for T1D, limited research in this area has been conducted. 8 Since obesity and type 2 diabetes mellitus (T2D), 2 major disorders of whole body energy balance, continue to rise worldwide, most research to-date regarding physical activity capture device use has been pursued in these 2 disorders.9,10 T2D is characterized by hyperglycemia for a significant proportion of the day with the majority of such subjects having limited hypoglycemia AbstractPhysical activity is an important determinant of glucose variability in type 1 diabetes (T1D). It has been incorporated as a nonglucose input into closed-loop control (CLC) protocols for T1D during the last 4 years mainly by 3 research groups in single center based controlled clinical trials involving a maximum of 18 subjects in any 1 study. Although physical activity data capture may have clinical benefit in patients with T1D by impacting cardiovascular fitness and optimal body weight achievement and maintenance, limited number of such studies have been conducted to date. Clinical trial registries provide information about a single small sample size 2 center prospective study incorporating physical activity data input to modulate closed-loop control in T1D that are seeking to build on prior studies. We expect an increase in such studies especially since the NIH has expanded support of this type of research with additional grants starting in the second hal...

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Section: Physical Activity Capture Device Use For Longer Periods In T1dmentioning

confidence: 58%

Physical Activity Capture Technology With Potential for Incorporation Into Closed-Loop Control for Type 1 Diabetes

Dadlani

Levine

McCrady-Spitzer

et al. 2015

J Diabetes Sci Technol

View full text Add to dashboard Cite

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“…26 The advantage of using a smartphone app is that no additional instrument is required as people generally carry their mobile phones with them continuously. This in itself however, may not be sufficient to guarantee ongoing engagement with the app.…”

Section: Comparison With Existing Literaturementioning

confidence: 99%

Effectiveness of a smartphone application to promote physical activity in primary care: the SMART MOVE randomised controlled trial

et al. 2014

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“…10,13 One recent study 16 combined daily predetermined informational messages with weekly interactive messages related to managing the diabetes regimen. In addition, a number of text messaging programs have been combined with other interventions, including changes to insulin regimen, 11 photo diaries, 13 web-based interventions, 12,15 and pedometers; 14 however, no such programs have been combined with in-person behavioral health support.…”

Section: Existing Interventionsmentioning

confidence: 99%

“…Several studies have evaluated the use of text messaging or Short Message Service (SMS) as a part of diabetes management interventions for pediatric patients with T1D, 8 targeting blood glucose monitoring, [9][10][11][12] use of insulin, 9,13 diabetes education, 9,11,13 physical activity, 9,11,14 and barriers to adherence. 15 Text messaging programs present with varying structures, which include text messages created by the research team sent at predetermined times, 9,[12][13][14] text messages based on personal T1D-related goals sent at predetermined times, 11,15 and text messages containing feedback from the medical team in response to participantgenerated texts.…”

Section: Existing Interventionsmentioning

confidence: 99%

“…15 Text messaging programs present with varying structures, which include text messages created by the research team sent at predetermined times, 9,[12][13][14] text messages based on personal T1D-related goals sent at predetermined times, 11,15 and text messages containing feedback from the medical team in response to participantgenerated texts. 10,13 One recent study 16 combined daily predetermined informational messages with weekly interactive messages related to managing the diabetes regimen.…”

Section: Existing Interventionsmentioning

confidence: 99%

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NICH at Its Best for Diabetes at Its Worst: Texting Teens and Their Caregivers for Better Outcomes

Wagner

Barry

Stoeckel

et al. 2017

J Diabetes Sci Technol

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Background: There is growing evidence for the feasibility of text-based interventions for pediatric patients with type 1 diabetes (T1D). However, less is known regarding whether the use of personalized text messages with high-risk youth and their caregivers is associated with improvements in youth health. This study examines the use of diabetes-specific texts and associated health outcomes for participants of the Novel Interventions in Children's Healthcare (NICH) program. Methods:Text messages sent to youth with T1D and their caregivers during NICH intervention were coded regarding diabetes relevance and adherence-related content. Health outcome data (eg, HbA1c values, hospital admissions) prior to and following NICH program enrollment were collected.Results: Fewer than half (43%) of texts sent to patients and their caregivers were identified as being related to diabetes, and over 95% of diabetes-related texts were identified as adherence-related. Participants in the NICH program demonstrated a significant decrease in HbA1c values, t(23) = 2.78, p ≤ .05, and DKA-related hospital visits, t(24) = 2.78, p ≤ .01, during program involvement. Although no relationships were identified between patient-recipient text characteristics and health outcomes, the frequency and type of text messaging with caregivers was significantly associated with changes in health outcomes. Conclusions:This study represents the most extensive evaluation of diabetes-related SMS use and health outcomes for NICH participants to date. Findings demonstrate improvements in patient health during NICH program involvement. Implications include that sending frequent, personalized, and adherence-reinforcing texts to patients' caregivers may result in improved patient health, decreased utilization, and, potentially, associated reductions in health care costs.

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Pedometers and Text Messaging to Increase Physical Activity

Cited by 129 publications

References 8 publications

Physical Activity Capture Technology With Potential for Incorporation Into Closed-Loop Control for Type 1 Diabetes

Physical Activity Capture Technology With Potential for Incorporation Into Closed-Loop Control for Type 1 Diabetes

Effectiveness of a smartphone application to promote physical activity in primary care: the SMART MOVE randomised controlled trial

NICH at Its Best for Diabetes at Its Worst: Texting Teens and Their Caregivers for Better Outcomes

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