Investigation of Type 2 Diabetes Relationship with 3 Sleep input Elements Based on Viscoplastic Energy Model of GH-Method: Math-Physical Medicine (No. 1048, VMT #446)

Abstract

Gerald C. Hsu

The author recently read an article “Habitual Short Sleep Duration, Diet, and Development of Type 2 Diabetes in Adults” by Diana Aline Noga, PhD on JAMA Netw Open. March of 2024. Here is the except of this article: “Is there an association between adherence to healthy diet, sleep duration, and risk of developing type 2 diabetes (T2D) in adults?

This cohort study analyzing data from 247,867 adults in the UK Biobank (2006-2010) found that individuals sleeping less than 6 hours daily had a notably higher risk of developing T2D compared with those with 7 to 8 hours of sleep. Despite the association between healthier diets and reduced T2D risk, the increased risk associated with short sleep duration persisted even among adults with healthy eating habits.

These findings suggest that adopting a healthy diet may not reduce the risk of developing T2D among those with habitual short sleep duration.” Inspired by the aforementioned article, the author of this paper explores the relationship between his self-monitored glucose levels and sleep conditions using the space-domain Viscoplastic energy method (SD-VMT).

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