Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Date of Award

Spring 2015

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Department of Kinesiology

Advisor(s)

Trent Hargens

Abstract

Abstract

Purpose The aim of this study is to assess the independent effects of sedentary time, sleep quality, and physical activity on risk factors for Metabolic Syndrome (MetS) in college students.

Methods 40 college aged students were recruited from James Madison University. Height, weight, blood pressure, waist circumference, and body composition were assessed on visit 1. Blood pressure, blood glucose, and lipid profile were assessed on visit 2. Subjects were required to wear an Actigraph GT3x accelerometer, which measured physical activity, sedentary time, and sleep quality for 7 days and nights. Univariate Pearson correlation analyses were performed to determine the relationship between sedentary, sleep quality, and physical activity variables with MetS risk factors. Variables for each category were determined to have the greatest correlation with MetS, and were used as independent variables in a step-wise, multiple linear regression to determine the best predictors for each MetS risk factor. Each variable was then ranked into tertiles and ANOVA/ANCOVA was performed with each MetS risk factor. Variables determined to have the greatest correlation with MetS were evaluated as covariates. A priori statistical significance was set at p<0.05.

Results Correlation analyses indicated the strongest predictors of MetS to be time per sedentary bout, time per awakening, step counts, and MVPA. Step counts and time per sedentary bouts were significant predictors of waist circumference (R2= .406; p2 = 0.49; p2= 0.278; p=.002). Step counts was the only significant predictor of HDL (R2=0.132; p=0.025). Waist circumference was greater in the lowest time per sedentary bout Tertile (83.04 ±11.3 ) compared to the highest Tertile (72.1 ±8.5). Systolic blood pressure was greater in the highest time per awakening tertile (124.4 ±12.3) compared to the lowest Tertile (111.8 ±10.2). Blood glucose was greater in the moderate time per awakening Tertile (84.4 ±6.9) compared to the lowest Tertile (77 ±7.4). Waist circumference was greater in the lowest time spent in MVPA Tertile (87.03 ±11.1) compared to the moderate (76.3 ±7.1) and highest Tertiles (71.9 ±9.3). Systolic blood pressure was greater in the lowest and moderate tertiles of time spent in MVPA Tertiles (125.5 ±12.6 and 121.7 ±8.6, respectively) compared to the highest Tertile (110.6 ±7.6). HDL was greater in the highest tertile of time spent in MVPA (68.6 ±13.1) compared to the moderate Tertile (60.4 ±9.4).

Conclusion Daily step counts and increased time spent in MVPA has the largest influence on preventing MetS and its respective risk factors in college students.

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