Literature DB >> 26481641

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

Vikash Dadlani1, James A Levine2, Shelly K McCrady-Spitzer1, Eyal Dassau3, Yogish C Kudva4.   

Abstract

Physical 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 half of 2015. Studies (1) involving patients with other disorders that have lasted 12 weeks or longer and tracked physical activity and (2) including both aerobic and resistance activity may offer insights about the user experience and device optimization even as single input CLC heads into real-world clinical trials over the next few years and nonglucose input is introduced as the next advance.
© 2015 Diabetes Technology Society.

Entities:  

Keywords:  closed loop; glucose insulin; physical activity capture devices; type 1 diabetes

Mesh:

Substances:

Year:  2015        PMID: 26481641      PMCID: PMC4667300          DOI: 10.1177/1932296815609949

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  58 in total

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Review 3.  Technology and diabetes self-management: An integrative review.

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Journal:  World J Diabetes       Date:  2015-03-15

4.  Assessment of energy expenditure for physical activity using a triaxial accelerometer.

Authors:  C V Bouten; K R Westerterp; M Verduin; J D Janssen
Journal:  Med Sci Sports Exerc       Date:  1994-12       Impact factor: 5.411

5.  Perinatal mortality and congenital anomalies in babies of women with type 1 or type 2 diabetes in England, Wales, and Northern Ireland: population based study.

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Journal:  BMJ       Date:  2006-06-16

6.  Use of and interest in mobile health for diabetes self-care in vulnerable populations.

Authors:  James R Humble; Elizabeth A Tolley; Rebecca A Krukowski; Catherine R Womack; Todd S Motley; James E Bailey
Journal:  J Telemed Telecare       Date:  2015-05-29       Impact factor: 6.184

7.  A personalized approach to exercise promotion in adolescents with type 1 diabetes.

Authors:  Melissa Spezia Faulkner; Sara Fleet Michaliszyn; Joseph T Hepworth
Journal:  Pediatr Diabetes       Date:  2009-12-08       Impact factor: 4.866

Review 8.  Artificial pancreas: past, present, future.

Authors:  Claudio Cobelli; Eric Renard; Boris Kovatchev
Journal:  Diabetes       Date:  2011-11       Impact factor: 9.461

9.  Pedometers and text messaging to increase physical activity: randomized controlled trial of adolescents with type 1 diabetes.

Authors:  Kirsty H Newton; Esko J Wiltshire; C Raina Elley
Journal:  Diabetes Care       Date:  2009-02-19       Impact factor: 17.152

10.  Physical activity energy expenditure and glucose control in pregnant women with type 1 diabetes: is 30 minutes of daily exercise enough?

Authors:  Kavita Kumareswaran; Daniela Elleri; Janet M Allen; Karen Caldwell; Kate Westgate; Soren Brage; Philippa Raymond-Barker; Marianna Nodale; Malgorzata E Wilinska; Stephanie A Amiel; Roman Hovorka; Helen R Murphy
Journal:  Diabetes Care       Date:  2013-02-12       Impact factor: 19.112

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  5 in total

1.  Closed loop control in adolescents and children during winter sports: Use of the Tandem Control-IQ AP system.

Authors:  Laya Ekhlaspour; Gregory P Forlenza; Daniel Chernavvsky; David M Maahs; R Paul Wadwa; Mark D Deboer; Laurel H Messer; Marissa Town; Jennifer Pinnata; Geoff Kruse; Boris P Kovatchev; Bruce A Buckingham; Marc D Breton
Journal:  Pediatr Diabetes       Date:  2019-05-23       Impact factor: 4.866

Review 2.  Multivariable Adaptive Artificial Pancreas System in Type 1 Diabetes.

Authors:  Ali Cinar
Journal:  Curr Diab Rep       Date:  2017-08-15       Impact factor: 4.810

Review 3.  Advances in Closed-Loop Insulin Delivery Systems in Patients with Type 1 Diabetes.

Authors:  Vikash Dadlani; Jordan E Pinsker; Eyal Dassau; Yogish C Kudva
Journal:  Curr Diab Rep       Date:  2018-08-29       Impact factor: 4.810

4.  Physical Activity and Psychological Stress Detection and Assessment of Their Effects on Glucose Concentration Predictions in Diabetes Management.

Authors:  Mert Sevil; Mudassir Rashid; Iman Hajizadeh; Minsun Park; Laurie Quinn; Ali Cinar
Journal:  IEEE Trans Biomed Eng       Date:  2021-06-17       Impact factor: 4.756

Review 5.  Accuracy of Accelerometers for Measuring Physical Activity and Levels of Sedentary Behavior in Children: A Systematic Review.

Authors:  Brian A Lynch; Tara K Kaufman; Tamim I Rajjo; K Mohammed; Seema Kumar; M Hassan Murad; Natalie E Gentile; Gabriel A Koepp; Shelly K McCrady-Spitzer; James A Levine
Journal:  J Prim Care Community Health       Date:  2019 Jan-Dec
  5 in total

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