Wearable devices offer new insights into the progression of Type 2 diabetes in Latino adults

In one of the first studies of its kind, medical and engineering researchers have shown wearable devices that continuously monitor blood sugar provide new insights into the progression of Type 2 diabetes among at-risk Hispanic/Latino adults.

The findings by researchers from Sansum Diabetes Research Institute (SDRI) and Rice University are available online this week in EClinicalMedicine, an open-access clinical journal published by The Lancet.

"The fresh look at the glucose data sheds new light on disease progression, which could have a direct impact on better management," said Rice study co-author Ashutosh Sabharwal, professor and department chair in electrical and computer engineering and founder of Rice's Scalable Health Labs. "An important aspect of our analysis is that the results are clinically interpretable and point to new directions for improved Type 2 diabetes care."

The study builds on SDRI's groundbreaking research to address Type 2 diabetes in underserved Hispanic/Latino communities. SDRI's Farming for Life initiative assesses the physical and mental health benefits of providing medical prescriptions for locally sourced fresh vegetables to people with or at risk of Type 2 diabetes, with a focus on the Hispanic/Latino community. SDRI recently added a digital health technology called continuous glucose monitoring to this research.

Continuous glucose monitors track blood sugar levels around-the-clock and allow trends in blood glucose to be displayed and analyzed over time. The devices typically consist of two parts, a small electrode sensor affixed to the skin with an adhesive patch and a receiver that gathers data from the sensor.

We found that the use of this technology is both feasible and acceptable for this population, predominantly Mexican American adults. The results also provided new insights into measurable differences in the glucose profiles for individuals at risk of as well as with noninsulin-treated Type 2 diabetes. These findings could facilitate novel therapeutic approaches to reduce the risk of progression of Type 2 diabetes for this underserved population."

David Kerr, Study Co-Author and Director of Research and Innovation, Sansum Diabetes Research Institute, Rice University

Sabharwal, who is also a co-investigator of the Precise Advanced Technologies and Health Systems for Underserved Populations (PATHS-UP) engineering research center, said, "The collaboration with SDRI aligns with our mission to use technology as an important building block to reduce health care disparities."

"We are excited about the application of digital health technologies for underserved populations as a way to eliminate health disparities and improve health equity," Kerr said. "This opens up potential for a larger number of collaborations to support SDRI's evolving focus on precision nutrition and also the expanded use of digital health technologies for both the prevention and management of all forms of diabetes."

Source:
Journal reference:

Barua, S., et al. (2021) Dysglycemia in adults at risk for or living with non-insulin treated type 2 diabetes: Insights from continuous glucose monitoring. EClinicalMedicine. doi.org/10.1016/j.eclinm.2021.100853.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Rare variant analysis reveals genetic spectrum of monogenic diabetes genes