Life Sciences Commons^™

Differences In Physical Activity And Diet Patterns Between Non-Rural And Rural Adults., Lacey Mccormack, Howard Wey, Jessica R. Meendering, Bonny Specker

Health and Nutritional Sciences Faculty Publications

BACKGROUND: It is unclear how rural occupations and lifestyles may play a role in shaping physical activity and diet behaviors that contribute to the rural⁻urban obesity disparity.
METHODS: Data come from the prospective and observational South Dakota Rural Bone Health Study, which included adults aged 20⁻66 years in three groups: (1) non-rural non-Hutterite, (2) rural non-Hutterite, and (3) rural Hutterite. Physical activity data were collected using 7-day physical activity questionnaires, and hours per day in physical activity categories are reported. Diet data were collected using food frequency questionnaires, and food group servings per day (svg/day) are reported. Mixed models were …

Multilevel Structural Equation Modeling Of Students' Dietary Intentions/Behaviors, Bmi, And The Healthfulness Of Convenience Stores., Tanya M. Horacek, Elif Dede Yildirim, Kendra Kattelmann, Carol Byrd-Bredbenner, Onikia Brown, Sarah E. Colby, Geoffrey Greene, Sharon Hoerr, Tandalayo Kidd, Mallory Koenings, Jesse Morrell, Melissa D. Olfert, Beatrice Phillips, Karla P. Shelnutt, Adrienne A. White

Health and Nutritional Sciences Faculty Publications

BACKGROUND: When dietary behaviors are habitual, intentions are low, and environmental cues, such as the consumer food environment, might guide behavior. How might intentions to eat healthily and ultimately actual dietary behaviors, be influenced by the consumer food environment (including the availability and affordability of healthy foods) in convenience stores? This study will determine pathways between the healthfulness of convenience stores and college students' dietary intentions/behaviors, and body mass index (BMI).
METHODS: Through multilevel structural equation modeling, a comparison was made of students' healthful meal intentions (HMI); intake (fruits/vegetables, %kcal/fat, sugar-sweetened beverages (SSBs) and whole-grains); and measured BMI; as well …

College Students' Health Behavior Clusters: Differences By Sex., Sarah E. Colby, Wenjun Zhou, Morgan F F. Sowers, Karla Shelnutt, Melissa D. Olfert, Jesse Morrell, Mallory Koenings, Tandalayo Kidd, Tanya M. Horacek, Geoffrey W. Greene, Melissa D. Olfert, Adrienne A. White, Sharon L Hoerr, Carol Byrd-Bredbenner, Kendra Kattelmann

Health and Nutritional Sciences Faculty Publications

OBJECTIVE: The study purpose was to identify clusters of weight-related behaviors by sex in a college student populations.

METHODS: We conducted secondary data analysis from online surveys and physical assessments collected in Project Young Adults Eating and Active for Health (YEAH) with a convenience sample of students on 13 college campuses in the United States. We performed 2-step cluster analysis by sex to identify subgroups with homogeneous characteristics and behaviors. We used 8 derivation variables: healthy eating; eating restraints; external cues; stress; fruit/vegetable intake; calories from fat; calories from sugar-sweetened beverages; and physical activity. Contribution of derivation variables to clusters …