Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


Hadia Meashi Master Thesis 2018.pdf (545.36 KB)

ETD Abstract Container

Abstract Header

HBA1C IN NON-DIABETIC ADULTS USING NHANES 2013-2014 DATA: THE RELATIONSHIP WITH CAFFEINE, CARBOHYDRATES, AND PHYSICAL ACTIVITY

Meashi, Hadia
http://rave.ohiolink.edu/etdc/view?acc_num=akron1542667283140221

Abstract Details

2018, Master of Science, University of Akron, Physical Education-Exercise Physiology/Adult Fitness.
According to the Centers for Disease Control (2018), more than 30 million Americans have diabetes with the majority of cases diagnosed as type 2 diabetes. One in three US adults is at risk for type 2 diabetes, due to the substantial volume of people diagnosed with DM, there is a need for healthcare providers and researchers to help better understand the causes attributed to DM to reduce or prevent the occurrence of future cases. Prediabetes is defined by the American Diabetes Association (2016) as blood glucose levels above the normal average but not high enough to be diagnosed with Diabetes Mellitus. Chronic high levels of blood glucose may lead to many health complications including diabetes. Understanding variables that may increase the risk of prediabetes or diabetes may potentially reduce future cases and lead to a healthier society. There is consensus in the literature explaining the relationship of elevated glucose with the risk of poor body composition, age, sedentary behavior and high carbohydrate diets however caffeine consumption and risk for diabetes has varied. Research has demonstrated that caffeine consumption has an effect on glycemic control but according to the ADA (2017) conflicting findings among numerous caffeine research studies exist. Some indicate that drinking coffee may prevent type 2 diabetes while other studies reported that coffee intake could elevate blood glucose. The purpose of this study was to investigate the effect of chronic caffeine ingestion on glycemic mechanics in non-diabetic adults by using Chi-square Automatic Interaction Detection (CHAID) decision tree to classify prediabetes and diabetes based on A1C criteria using a sample derived from the National Health and Nutrition Examination Survey (NHANES) 2013-2014 data. The study sample was derived from 3928 male and females’ participants between 18 to 59 years of age. The CHAID growth criteria was set as 60 cases parent node and 30 cases for child node with significance for a split and merge set at a = 0.05 and maximum tree depth set at the default of 3 levels. Results from the data showed the risk for diabetes or prediabetes was almost five times (4.57) higher with those with high carbohydrate intake compared to those with low carbohydrate intake. Results showed the risk of prediabetes or diabetes was 1.54 times higher in males compared to females and participant’s age increased the risk with 50.1% risk for people who are older than 51 years of age compared to 6.8% risk for whose less than or equal to 27 years of age. Daily habitual caffeine consumption greater than 92 mg/day combined with low physical activity (less than 30 minutes per day of exercise) were 4.17 times more likely to have diabetes or pre-diabetes based on A1C criteria compared to those who were physically active (more than 30 minutes per day of exercise). Overall, non-diabetic adults consuming habitual caffeine consumption combined with regular physical activity had the lowest risk for elevated A1C and being diagnosed with prediabetes or diabetes. The findings provide a unique understanding to the potential relationship between caffeine and physical activity leading to a protective effect on glycemic mechanics in non-diabetic adults.
Ronald Otterstetter (Committee Chair)
Brian Miller (Committee Member)
Laura Richardson (Committee Member)
Mark Fridline (Committee Member)
Food Science; Health; Health Care; Health Care Management; Health Education; Health Sciences; Kinesiology; Medicine; Nutrition; Sports Management; Sports Medicine

Recommended Citations

Citations

  • Meashi, H. (2018). HBA1C IN NON-DIABETIC ADULTS USING NHANES 2013-2014 DATA: THE RELATIONSHIP WITH CAFFEINE, CARBOHYDRATES, AND PHYSICAL ACTIVITY [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1542667283140221

    APA Style (7th edition)

  • Meashi, Hadia. HBA1C IN NON-DIABETIC ADULTS USING NHANES 2013-2014 DATA: THE RELATIONSHIP WITH CAFFEINE, CARBOHYDRATES, AND PHYSICAL ACTIVITY. 2018. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1542667283140221.

    MLA Style (8th edition)

  • Meashi, Hadia. "HBA1C IN NON-DIABETIC ADULTS USING NHANES 2013-2014 DATA: THE RELATIONSHIP WITH CAFFEINE, CARBOHYDRATES, AND PHYSICAL ACTIVITY." Master's thesis, University of Akron, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron1542667283140221

    Chicago Manual of Style (17th edition)

akron1542667283140221
2,921
© , some rights reserved.Creative Commons License HBA1C IN NON-DIABETIC ADULTS USING NHANES 2013-2014 DATA: THE RELATIONSHIP WITH CAFFEINE, CARBOHYDRATES, AND PHYSICAL ACTIVITY by Hadia Meashi is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Akron and OhioLINK.