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Use of Telecommunication and Diabetes-Related Technologies in Older Adults With Type 1 Diabetes During a Time of Sudden Isolation: Mixed Methods Study

Use of Telecommunication and Diabetes-Related Technologies in Older Adults With Type 1 Diabetes During a Time of Sudden Isolation: Mixed Methods Study

Descriptive statistics for demographic and clinical data are reported as number (n) and percentage (%) of the cohort for categorical variables. For continuous variables, data are reported as mean (SD) for data with normal distributions and as median (IQR) for data with nonnormal distributions. SAS software (version 9.4; SAS Institute) was used for 2-tailed Student t tests for the analysis of CGM metrics. A P value of ≤.05 was considered statistically significant.

Elena Toschi, Christine Slyne, Katie Weinger, Sarah Sy, Kayla Sifre, Amy Michals, DaiQuann Davis, Rachel Dewar, Astrid Atakov-Castillo, Saira Haque, Stirling Cummings, Stephen Brown, Medha Munshi

JMIR Diabetes 2022;7(4):e38869

Actual Use of Multiple Health Monitors Among Older Adults With Diabetes: Pilot Study

Actual Use of Multiple Health Monitors Among Older Adults With Diabetes: Pilot Study

In a study with a large and diverse cohort of older adults with T2 D (n=2400) from 16 US clinical sites, only a small percentage of older participants implementing intensive lifestyle interventions (33.7% at 1 year and 21.4% at 4 years) achieved or exceeded the national PA threshold for improved health (ie, ≥150 min per week), and a smaller percentage of older participants (20.2% at 1 year and 11.3% at 4 years) met the PA threshold of the American College of Sports Medicine (ie, ≥250 min per week) [15].

Yaguang Zheng, Katie Weinger, Jordan Greenberg, Lora E Burke, Susan M Sereika, Nicole Patience, Matt C Gregas, Zhuoxin Li, Chenfang Qi, Joy Yamasaki, Medha N Munshi

JMIR Aging 2020;3(1):e15995