Abstract

Li Li, Ibasaraboh D. Iyegha, Angela Y. Chieh and Bianca M. Bryant

155 females and males, Caucasians and African Americans, aged 19-70 completed the study for data analysis. All participants were assessed for sleep quality using the Pittsburgh Sleep Quality Index (PSQI). Fasting glucose and 2-h glucose levels were collected via a 2-h oral glucose tolerance test (OGTT) and used to define pre-diabetes. Participants provided blood samples for measuring inflammatory markers. Associations were conducted using Pearson’s correlation with adjustments for gender, age and body mass index (BMI). Analysis of covariance (ANCOVA) was applied to compare the two groups, pre-diabetes group versus the control group, after controlling for gender, age, and BMI. Regression was used to investigate predictive power of sleep subscales for inflammatory factors and glucose levels.