TY - JOUR
T1 - Multimodal digital phenotyping of diet, physical activity, and glycemia in Hispanic/Latino adults with or at risk of type 2 diabetes
AU - Pai, Amruta
AU - Santiago, Rony
AU - Glantz, Namino
AU - Bevier, Wendy
AU - Barua, Souptik
AU - Sabharwal, Ashutosh
AU - Kerr, David
N1 - Funding Information:
The authors thank Abbott Diabetes Care for supplying the Freestyle Libre sensors and readers that provided continuous glucose monitoring for this study. Funding for the study was provided by the NSF Engineering Research Center for Precise Advanced Technologies and Health Systems for Underserved Populations (PATHS-UP) (#1648451) and the Elsevier Foundation. The funder played no role in the study design, data collection, analysis, and interpretation of data or the writing of this manuscript.
Funding Information:
The authors thank Abbott Diabetes Care for supplying the Freestyle Libre sensors and readers that provided continuous glucose monitoring for this study. Funding for the study was provided by the NSF Engineering Research Center for Precise Advanced Technologies and Health Systems for Underserved Populations (PATHS-UP) (#1648451) and the Elsevier Foundation. The funder played no role in the study design, data collection, analysis, and interpretation of data or the writing of this manuscript.
Publisher Copyright:
© 2024, The Author(s).
PY - 2024/1/11
Y1 - 2024/1/11
N2 - Digital phenotyping refers to characterizing human bio-behavior through wearables, personal devices, and digital health technologies. Digital phenotyping in populations facing a disproportionate burden of type 2 diabetes (T2D) and health disparities continues to lag compared to other populations. Here, we report our study demonstrating the application of multimodal digital phenotyping, i.e., the simultaneous use of CGM, physical activity monitors, and meal tracking in Hispanic/Latino individuals with or at risk of T2D. For 14 days, 36 Hispanic/Latino adults (28 female, 14 with non-insulin treated T2D) wore a continuous glucose monitor (CGM) and a physical activity monitor (Actigraph) while simultaneously logging meals using the MyFitnessPal app. We model meal events and daily digital biomarkers representing diet, physical activity choices, and corresponding glycemic response. We develop a digital biomarker for meal events that differentiates meal events into normal and elevated categories. We examine the contribution of daily digital biomarkers of elevated meal event count and step count on daily time-in-range 54-140 mg/dL (TIR54–140) and average glucose. After adjusting for step count, a change in elevated meal event count from zero to two decreases TIR54–140 by 4.0% (p = 0.003). An increase in 1000 steps in post-meal step count also reduces the meal event glucose response by 641 min mg/dL (p = 0.0006) and reduces the odds of an elevated meal event by 55% (p < 0.0001). The proposed meal event digital biomarkers may provide an opportunity for non-pharmacologic interventions for Hispanic/Latino adults facing a disproportionate burden of T2D.
AB - Digital phenotyping refers to characterizing human bio-behavior through wearables, personal devices, and digital health technologies. Digital phenotyping in populations facing a disproportionate burden of type 2 diabetes (T2D) and health disparities continues to lag compared to other populations. Here, we report our study demonstrating the application of multimodal digital phenotyping, i.e., the simultaneous use of CGM, physical activity monitors, and meal tracking in Hispanic/Latino individuals with or at risk of T2D. For 14 days, 36 Hispanic/Latino adults (28 female, 14 with non-insulin treated T2D) wore a continuous glucose monitor (CGM) and a physical activity monitor (Actigraph) while simultaneously logging meals using the MyFitnessPal app. We model meal events and daily digital biomarkers representing diet, physical activity choices, and corresponding glycemic response. We develop a digital biomarker for meal events that differentiates meal events into normal and elevated categories. We examine the contribution of daily digital biomarkers of elevated meal event count and step count on daily time-in-range 54-140 mg/dL (TIR54–140) and average glucose. After adjusting for step count, a change in elevated meal event count from zero to two decreases TIR54–140 by 4.0% (p = 0.003). An increase in 1000 steps in post-meal step count also reduces the meal event glucose response by 641 min mg/dL (p = 0.0006) and reduces the odds of an elevated meal event by 55% (p < 0.0001). The proposed meal event digital biomarkers may provide an opportunity for non-pharmacologic interventions for Hispanic/Latino adults facing a disproportionate burden of T2D.
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U2 - 10.1038/s41746-023-00985-7
DO - 10.1038/s41746-023-00985-7
M3 - Article
C2 - 38212415
AN - SCOPUS:85181886713
SN - 2398-6352
VL - 7
SP - 7
JO - npj Digital Medicine
JF - npj Digital Medicine
IS - 1
M1 - 7
ER -