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One of the difficulties with diabetes care is the problem of predicting progression to more severe stages using current measures (for example blood glucose, HbA1c). This feasibility study aims to use Criticality Analysis (CA) of gait to monitor the progression of the condition as well as identifying individuals at risk of developing diabetes among children in Mexico.The study will investigate whether gait analysis can be used as a fast, reliable and cost effective way to detect individuals at risk of developing Type 2 Diabetes (T2DM) as early treatment could reduce the number of cases that develop into full T2DM.
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This feasibility study aims to the do the following:
Participants will be selected from the Primary Care Pediatric Clinic for Obese Children (PAIDOS) in the Hospital Infantil de México Federico Gómez, Mexico City, Mexico. Sixty participants will be selected and divided into three groups: 40 obese non-diabetic subjects, 10 with Type 2 Diabetes and 10 healthy subjects as controls. Obese participants within the Paidos clinic will undergo standard clinical care that includes dietary prescription of caloric intake according to height, 150 min weekly physical activity, group cognitive-behavioural intervention, 6 session of obesity awareness and educational program.
Gait will be recorded in all groups using a sensor on the 4th vertebrae of the lumbar spine, once a week across 6 weeks during the routine PAIDOS clinic. Critical changes in walking control, stride frequency and length will be observed as individuals change speed; effectively stressing their mobility. The study will be repeated after 3-6 months as a follow up.
Data analysis will be performed in a semi-blind manner in order to test the efficacy of the criticality analysis Rate control of Chaos (RCC) model. In order to provide an objective measure of analysis, the anonymised data will be presented to the nonlinear RCC models, where results can be extracted and compared afterwards to known states.
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48 participants in 3 patient groups
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Data sourced from clinicaltrials.gov
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