Document Type

Capstone Experience

Graduation Date

5-2020

Degree Name

Master of Public Health

Department

Health Promotion

First Committee Member

Paul Estabrooks

Second Committee Member

Tzeyu Michaud

Third Committee Member

Christopher Wichman

Abstract

Background: Sleep has been recognized as a critical component of healthy development and overall health. However, sleep duration has emerged as an important lifestyle factor that influences endocrine function and glucose metabolism. There remains a dearth of research to assess sleep duration among patients with prediabetes.

Objective: To evaluate the association between socio-demographic and clinical characteristics and self-reported sleep duration among patients with prediabetes.

Methods: Baseline data (n=599) was used from a diabetes prevention trial. A chi-square test was used to assess the differences between the groups of sleep duration for the categorical, whereas the t-test was used for the continuous variables. Logistic regression analysis was used to examine the relationship between socio-demographic and clinical characteristics and the likelihood of optimal sleep, defined as sleeping more than 7 to 9 hours per night.

Result: The mean age of the participants was 55.46±12.73 years with a BMI of 35.95±6.34 kg/m2, and 61% were females. There was a significant difference between age, race, employment status, eating pattern, sleep pattern, and self-rate health was somewhat significant among optimal vs. non-optimal sleep. After the adjusted regression model, employment (adjusted odds ratio [AOR]= 0.59; CI: 0.37-0.92) and eating pattern (AOR= 0.926; CI: 0.85-0.99) were negatively associated with adequate optimal sleep. However, BMI, blood pressure, triglycerides, HDL, smoking status, and physical activity were not associated with adequate optimal sleep.

Conclusion: This study provides evidence that the prediabetic participants with employment and eating patterns were negatively associated with optimal sleep. Therefore, more studies are needed to understand better the association of sleep duration and prediabetes or diabetes.

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