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SUMMARY:Prescribing step counts in type 2 diabetes and hypertension:Result
 s of the Step Monitoring to improve ARTERial health trial - Associate Prof
 essor Kaberi Dasgupta\, McGill University
DTSTART:20180315T130000Z
DTEND:20180315T140000Z
UID:TALK83751@talks.cam.ac.uk
CONTACT:47770
DESCRIPTION:Strong evidence demonstrates that low walking levels predict t
 he development of type 2 diabetes and the development of diabetes-related 
 complications and mortality among individuals with established type 2 diab
 etes. While large-scale observational studies have relied on self-reported
  weekly time spent walking as the main walking measure\, some more recent 
 studies have used step counters (pedometers and accelerometers) that measu
 re steps throughout the day\, both those performed ‘incidentally’ and 
 those performed explicitly for exercise. Step counting has been shown to b
 e effective in self-monitoring and goal setting in physical activity progr
 ams for type 2 diabetes and other chronic conditions. However\, most of th
 ese programs are ‘not universally available. \n \nIn the Step Monitoring
  to improve ARTERial health trial (SMARTER\; funded by the Canadian Instit
 utes of Health Research)\, active arm participants tracked their step coun
 ts\, reviewed their step count records with their doctors\, and then set s
 tep targets\; the doctor then provided a written and signed prescription. 
 We showed that this approach led to higher step counts\, lower hemoglobin 
 A1C\, and lower insulin resistance. Results have been published in the jou
 rnal Diabetes\, Obesity & Metabolism (2017) (open access). \n \nDuring thi
 s presentation\, we will discuss the evidence that led to the SMARTER tria
 l\, describe the SMARTER strategy\, and the findings from the trial. We wi
 ll also share some of the facilitators and barriers that we identified fol
 lowing the trial\, through discussions with collaborating physicians and t
 rial participants. \n\n
LOCATION:School of Clinical Medicine\, Lecture Theatre Two
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