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Chi-Square Analyses of Sleep Duration and Demographic Characteristics

Chi-Square Analyses of Sleep Duration and Demographic Characteristics

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Thesis
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Type 2 diabetes mellitus (T2DM) is one of the most destructive and debilitating chronic diseases of modern time. African American adults are among the individuals most negatively affected by T2DM. Previous research suggests that sleep duration is a significant predictor of T2DM and could provide a possible explanation for the higher burden of T2DM...

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Context 1
... average sleep duration among African American study participants was 7.0 hours (SD=1.6). Table 5 provides the complete results of chi-square analyses for sleep duration and demographic characteristics. In summary, age, BMI, physical activity, smoking status, education level, income level, and occupation status were found to be significantly associated each level of sleep duration. ...
Context 2
... these steps, chi-square analyses were conducted to determine the unadjusted association between sleep duration and diabetes prevalence. A series of chi-square analyses were also conducted to determine the relationship between sleep duration, each demographic characteristic, and each established T2DM risk factor (Table 5). Additional chi-square analyses were conducted to determine which demographic characteristics and T2DM risk factors were associated with diabetes prevalence (Table 7). ...

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