Open Access. Powered by Scholars. Published by Universities.®

Life Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Agriculture

Series

Young adults

Articles 1 - 3 of 3

Full-Text Articles in Life Sciences

Multilevel Structural Equation Modeling Of Students’ Dietary Intentions/Behaviors, Bmi, And The Healthfulness Of Convenience Stores, Tanya Horacek, Elif Dede Yildirim, Kendra Kattelmann, Carol Byrd-Bredbenner, Onikia Brown, Sarah Colby, Geoffrey Greene, Sharon Hoerr, Tandalayo Kidd, Mallory Koenings, Jesse Morrell, Melissa D. Olfert, Beatrice Phillips, Karla Shelnutt, Adrienne White Jan 2018

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

Faculty & Staff Scholarship

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 …


Self-Reported Vs. Measured Height, Weight, And Bmi In Young Adults, Melissa D. Olfert, Makenzie L. Barr, Camille M. Charlier, Oluremi A. Famodu, Wenjun Zhou, Anne E. Mathews, Carol Byrd-Bredbenner, Sarah E. Colby Jan 2018

Self-Reported Vs. Measured Height, Weight, And Bmi In Young Adults, Melissa D. Olfert, Makenzie L. Barr, Camille M. Charlier, Oluremi A. Famodu, Wenjun Zhou, Anne E. Mathews, Carol Byrd-Bredbenner, Sarah E. Colby

Faculty & Staff Scholarship

Self-reported height and weight, if accurate, provide a simple and economical method to track changes in body weight over time. Literature suggests adults tend to under-report their own weight and that the gap between self-reported weight and actual weight increases with obesity. This study investigates the extent of discrepancy in self-reported height, weight, and subsequent Body Mass Index (BMI) versus actual measurements in young adults. Physically measured and self-reported height and weight were taken from 1562 students. Male students marginally overestimated height, while females were closer to target. Males, on average, closely self-reported weight. Self-reported anthropometrics remained statistically correlated to …


Detecting Body Mass Index From A Facial Photograph In Lifestyle Intervention, Makenzie L. Barr, Guodong Guo, Sarah E. Colby, Melissa D. Olfert Jan 2018

Detecting Body Mass Index From A Facial Photograph In Lifestyle Intervention, Makenzie L. Barr, Guodong Guo, Sarah E. Colby, Melissa D. Olfert

Faculty & Staff Scholarship

This study aimed to identify whether a research participant’s body-mass index (BMI) can be correctly identified from their facial image (photograph) in order to improve data capturing in dissemination and implementation research. Facial BMI (fBMI) was measured using an algorithm formulated to identify points on each enrolled participant’s face from a photograph. Once facial landmarks were detected, distances and ratios between them were computed to characterize facial fatness. A regression function was then used to represent the relationship between facial measures and BMI values to then calculate fBMI from each photo image. Simultaneously, BMI was physically measured (mBMI) by trained …