Title

Grouping Young Adults Based on Physical Activity, Alcohol Consumption Patterns, and BMI

Proposal Focus

Research

Abstract

Obesity has becoming one of the nation’s largest health concerns. An individual’s physical activity, diet, sedentary behaviors, and alcohol consumption patterns all play a role in fluctuation of BMI. While it is known that all of these can affect obesity, it is less commonly known how these behaviors cluster together in emerging adulthood. Uncertainty shrouds how these characteristics cluster together in young-adults. The purpose of this study is to utilize the 2015-2016 NHANES data to explore relationships of alcohol consumption, physical activity and sedentary behaviors to ascertain how strongly these measures of health cluster, and in what demographics do they most strongly cluster. A two-step cluster analysis resulted in 4 clusters being created with physical activity being the predominate indicator for grouping. Continuing analyses regarding the association of race, sex, and BMI are being conducted.

Keywords

Obesity, Physical Activity, Alcohol Consumption

Location

Cornerstone Ballroom Side A

Start Date

12-4-2019 9:15 AM

End Date

12-4-2019 10:00 AM

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Apr 12th, 9:15 AM Apr 12th, 10:00 AM

Grouping Young Adults Based on Physical Activity, Alcohol Consumption Patterns, and BMI

Cornerstone Ballroom Side A

Obesity has becoming one of the nation’s largest health concerns. An individual’s physical activity, diet, sedentary behaviors, and alcohol consumption patterns all play a role in fluctuation of BMI. While it is known that all of these can affect obesity, it is less commonly known how these behaviors cluster together in emerging adulthood. Uncertainty shrouds how these characteristics cluster together in young-adults. The purpose of this study is to utilize the 2015-2016 NHANES data to explore relationships of alcohol consumption, physical activity and sedentary behaviors to ascertain how strongly these measures of health cluster, and in what demographics do they most strongly cluster. A two-step cluster analysis resulted in 4 clusters being created with physical activity being the predominate indicator for grouping. Continuing analyses regarding the association of race, sex, and BMI are being conducted.