scholarly journals Acceptability of Continuous Glucose Monitoring in Free-Living Healthy Individuals: Implications for the Use of Wearable Biosensors in Diet and Physical Activity Research

10.2196/11181 ◽  
2018 ◽  
Vol 6 (10) ◽  
pp. e11181 ◽  
Author(s):  
Yue Liao ◽  
Susan Schembre
Keyword(s):  
Physical Activity ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Healthy Individuals ◽  
Free Living ◽  
Diet And Physical Activity

Utility of Continuous Glucose Monitoring vs. Meal Study in Detecting Hypoglycemia After Gastric Bypass

2021 ◽  
Author(s):  
Henri Honka ◽  
Janet Chuang ◽  
David D’Alessio ◽  
Marzieh Salehi
Keyword(s):  
Gastric Bypass ◽  
Continuous Glucose Monitoring ◽  
Gastric Bypass Surgery ◽  
Late Complication ◽  
Glucose Monitoring ◽  
Glucose Variability ◽  
Postprandial Glucose ◽  
Healthy Weight ◽  
Free Living ◽  
Carbohydrate Ingestion

Abstract Context Gastric bypass (GB) increases postprandial glucose excursion, which in turn can predispose to the late complication of hypoglycemia. Diagnosis remains challenging and requires documentation of symptoms associated with low glucose, and relief of symptom when glucose is normalized (Whipple’s triad). Objective To compare the yield of mixed meal test (MMT) and continuous glucose monitoring system (CGMS) in detecting hypoglycemia after gastric bypass surgery (GB). Setting The study was conducted at General Clinical Research Unit, Cincinnati Children’s Hospital (Cincinnati, OH, United States). Methods Glucose profiles were evaluated in 15 patients with documented recurrent clinical hypoglycemia after GB, 8 matched asymptomatic GB subjects, and 9 healthy weight-matched non-operated controls using MMT in a control setting and CGMS under free-living conditions. Results Patients with prior GB had larger glucose variability during both MMT and CGMS when compared to non-surgical controls regardless of their hypoglycemic status. Sensitivity (71 vs. 47 %) and specificity (100 vs. 88 %) of MMT in detecting hypoglycemia was superior to CGMS. Conclusions Our findings indicate that a fixed carbohydrate ingestion during MMT is a more reliable test to diagnose GB-related hypoglycemia compared to CGMS during free-living state.

scholarly journals Using Continuous Glucose Monitoring to Motivate Physical Activity in Overweight and Obese Adults: A Pilot Study

2020 ◽  
Vol 29 (4) ◽  
pp. 761-768 ◽  
Author(s):  
Yue Liao ◽  
Karen M. Basen-Engquist ◽  
Diana L. Urbauer ◽  
Therese B. Bevers ◽  
Ernest Hawk ◽  
...  
Keyword(s):  
Physical Activity ◽  
Pilot Study ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Obese Adults

scholarly journals Accuracy of Continuous Glucose Monitoring During Three Closed-Loop Home Studies Under Free-Living Conditions

2015 ◽  
Vol 17 (11) ◽  
pp. 801-807 ◽  
Author(s):  
Hood Thabit ◽  
Lalantha Leelarathna ◽  
Malgorzata E. Wilinska ◽  
Daniella Elleri ◽  
Janet M. Allen ◽  
...  
Keyword(s):  
Continuous Glucose Monitoring ◽  
Closed Loop ◽  
Glucose Monitoring ◽  
Living Conditions ◽  
Free Living ◽  
Free Living Conditions

scholarly journals Acceptability of Continuous Glucose Monitoring in Free-Living Healthy Individuals: Implications for the Use of Wearable Biosensors in Diet and Physical Activity Research (Preprint)

2018 ◽  
Author(s):  
Yue Liao ◽  
Susan Schembre
Keyword(s):  
Physical Activity ◽  
Wearable Sensors ◽  
Glucose Monitoring ◽  
Relevant Information ◽  
Sensor Technology ◽  
Physiological Data ◽  
Clinical Settings ◽  
Continuous Glucose Monitor ◽  
Diet And Physical Activity ◽  
Study Participants

BACKGROUND Wearable sensors have been increasingly used in behavioral research for real-time assessment and intervention purposes. The rapid advancement of biomedical technology typically used in clinical settings has made wearable sensors more accessible to a wider population. Yet the acceptability of this technology for nonclinical purposes has not been examined. OBJECTIVE The aim was to assess the acceptability of wearing a continuous glucose monitor (CGM) device among a sample of nondiabetic individuals, and to compare the acceptability of a CGM between a mobile diet tracking app (MyFitnessPal) and an accelerometer. METHODS A total of 30 nondiabetic adults went through a 7-day observational study. They wore a CGM sensor, tracked their diet and physical activity using the CGM receiver and MyFitnessPal, and wore an accelerometer on their waist. After the monitoring period, they completed a 10-item survey regarding acceptability of each of the study tools. Two-tailed paired-sample t tests were conducted to examine whether the summary acceptability scores were comparable between the CGM sensor/receiver and MyFitnessPal/accelerometer. RESULTS More than 90% of the study participants agreed that the CGM sensor and receiver were easy to use (28/30 and 27/30, respectively), useful (28/30 and 29/30, respectively), and provided relevant information that was of interest to them (27/30 and 28/30, respectively). The summary acceptability scores (out of a 5-point Likert scale) were mean 4.06 (SD 0.55) for the CGM sensor, mean 4.05 (SD 0.58) for the CGM receiver, mean 4.10 (SD 0.68) for MyFitnessPal, and mean 3.73 (SD 0.76) for the accelerometer. CONCLUSIONS The high acceptability of using a CGM from this study suggests a great potential for using CGMs in nondiabetic adults in research settings. Although potential selection bias might contribute to the high acceptability in this study, the continued advancements in wearable sensor technology will make the barriers to tracking and collecting personal physiological data more and more minimal.

154-OR: People Who Get More Hours of Sleep Have Lower Mean Glucose: Analysis of Continuous Glucose Monitoring and Fitbit Data in a Free-Living Population without Diabetes

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 154-OR
Author(s):  
MARGARET A. CRAWFORD ◽  
SARAH K. PICKUS ◽  
KAZANNA C. HAMES ◽  
MATTHEW JOHNSON ◽  
ILENE J. KLEIN ◽  
...  
Keyword(s):  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Free Living ◽  
Mean Glucose ◽  
Glucose Analysis

Continuous Glucose Monitoring System in Free-Living Healthy Subjects: Results from a Pilot Study

2009 ◽  
Vol 11 (3) ◽  
pp. 159-169 ◽  
Author(s):  
Giuseppe Derosa ◽  
Sibilla A.T. Salvadeo ◽  
Roberto Mereu ◽  
Angela D'Angelo ◽  
Leonardina Ciccarelli ◽  
...  
Keyword(s):  
Pilot Study ◽  
Monitoring System ◽  
Continuous Glucose Monitoring ◽  
Healthy Subjects ◽  
Glucose Monitoring ◽  
Continuous Glucose Monitoring System ◽  
Free Living

scholarly journals Nocturnal Hypoglycemia and Physical Activity in Children With Diabetes: New Insights by Continuous Glucose Monitoring and Accelerometry

Diabetes Care ◽  
2016 ◽  
Vol 39 (7) ◽  
pp. e95-e96 ◽  
Author(s):  
Sara Bachmann ◽  
Melanie Hess ◽  
Eva Martin-Diener ◽  
Kris Denhaerynck ◽  
Urs Zumsteg
Keyword(s):  
Physical Activity ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Nocturnal Hypoglycemia

scholarly journals Time-Limited Eating and Continuous Glucose Monitoring in Adolescents with Obesity: A Pilot Study

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 3697
Author(s):  
Alaina P. Vidmar ◽  
Monica Naguib ◽  
Jennifer K. Raymond ◽  
Sarah Jeanne Salvy ◽  
Elizabeth Hegedus ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Weight Loss ◽  
Pilot Study ◽  
Continuous Glucose Monitoring ◽  
Eating Behaviors ◽  
Negative Impact ◽  
Glucose Monitoring

Due to its simplicity, time-limited eating (TLE) may represent a more feasible approach for treating adolescents with obesity compared to other caloric restriction regimens. This pilot study examines the feasibility and safety of TLE combined with continuous glucose monitoring (CGM) in adolescents. Fifty adolescents with BMI ≥95th percentile were recruited to complete a 12-week study. All received standard nutritional counseling, wore a CGM daily, and were randomized to: (1) Prolonged eating window: 12 h eating/12 h fasting + blinded CGM; (2) TLE (8 h eating/16 h fasting, 5 days per week) + blinded CGM; (3) TLE + real-time CGM feedback. Recruitment, retention, and adherence were recorded as indicators of feasibility. Weight loss, dietary intake, physical activity, eating behaviors, and quality of life over the course of the intervention were explored as secondary outcomes. Forty-five participants completed the study (16.4 ± 1.3 years, 64% female, 49% Hispanic, 75% public insurance). There was high adherence to prescribed eating windows (TLE 5.2 d/wk [SD 1.1]; control 6.1 d/wk [SD 1.4]) and daily CGM wear (5.85 d/wk [SD 4.8]). Most of the adolescents (90%) assigned to TLE reported that limiting their eating window and wearing a CGM was feasible without negative impact on daily functioning or adverse events. There were no between-group difference in terms of weight loss, energy intake, quality of life, physical activity, or eating behaviors. TLE combined with CGM appears feasible and safe among adolescents with obesity. Further investigation in larger samples, with a longer intervention duration and follow-up assessments are needed.

scholarly journals Estimation of Blood Glucose Concentration During Endurance Sports

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Physical Activity ◽  
Blood Glucose ◽  
Continuous Glucose Monitoring ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Glucose Monitoring ◽  
Interstitial Tissue ◽  
Endurance Sports ◽  
Convolution Integral Equation ◽  
Deconvolution Problem

In this paper, we describe a new statistical approach to estimate blood glucose concentration along time during endurance sports based on measurements of glucose concentration in subcutaneous interstitial tissue. The final goal is the monitoring of glucose concentration in blood to maximize performance in endurance sports. Blood glucose concentration control during and after aerobic physical activity could also be useful to reduce the risk of hypoglycemia in type 1 diabetes mellitus subjects. By means of a low invasive technology known as "continuous glucose monitoring", glucose concentration in subcutaneous interstitial tissue can now be measured every five minutes. However, it can be expressed as function of blood glucose concentration along time by means of a convolution integral equation. In the training phase of the proposed approach, based on measurements of glucose concentration in both artery and subcutaneous interstitial tissue during physical activity, the parameters of the convolution kernel are estimated. Then, given a new subject performing aerobic physical activity, a deconvolution problem is solved to estimate glucose concentration in blood from continuous glucose monitoring measurements

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