People with daily step count of 10,700 are 44% less likely to develop type 2 diabetes

Wearable fitness devices offer new insights into the relationship between physical activity and type 2 diabetes, according to a new analysis of the National Institutes of Health's All of Us Research Program data published in the Endocrine Society's Journal of Clinical Endocrinology & Metabolism.

Type 2 diabetes is the most common form of the disease, affecting 90% to 95% of people with diabetes. In type 2 diabetes, the body is resistant to the action of insulin, meaning it cannot use insulin properly, so it cannot carry sugar into the cells. Type 2 diabetes most often develops in people over age 45, but more and more children, teens and young adults are being diagnosed.

We investigated the relationship between physical activity and type 2 diabetes with an innovative approach using data from wearable devices linked to electronic health records in a real-world population. We found that people who spent more time in any type of physical activity had a lower risk of developing type 2 diabetes. Our data shows the importance of moving your body every day to lower your risk of diabetes."

Andrew S. Perry, M.D., Vanderbilt University Medical Center in Nashville, Tenn.

The researchers analyzed Fitbit data and type 2 diabetes rates from 5,677 participants included in the NIH's All of Us Research Program between 2010-2021. All of Us is part of an effort to advance individualized health care by enrolling one million or more participants to contribute their health data over many years. About 75% of the participants that the researchers studied were female.

They found 97 new cases of diabetes over a follow-up of 4 years in the data set. People with an average daily step count of 10,700 were 44% less likely to develop type 2 diabetes than those with 6,000 steps.

"We hope to study more diverse populations in future studies to confirm the generalizability of these findings," Perry said.

The other authors of this study are Jeffrey Annis, Hiral Master, Aymone Kouame, Kayla Marginean, Ravi Shah and Evan Brittain of Vanderbilt University School of Medicine in Nashville, Tenn.; Matthew Nayor of Boston University School of Medicine in Boston, Mass.; Andrew Hughes and Dan M. Roden of Vanderbilt University Medical Center; Paul A. Harris of Vanderbilt University School of Medicine and Vanderbilt University Medical Center; Karthik Natarajan of Columbia University in New York, N.Y.; and Venkatesh Murthy of the University of Michigan in Ann Arbor, Mich.

The study received funding from the NIH.

Source:
Journal reference:

Perry, A.S., et al. (2022) Association of longitudinal activity measures and diabetes risk: an analysis from the NIH All of Us Research Program. Journal of Clinical Endocrinology & Metabolism. doi.org/10.1210/clinem/dgac695.

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...
Researchers investigate oxygen's effect on overactive cells in type 2 diabetes