Psychology Commons^™

Mobile Health App For Adolescents: Motion Sensor Data And Deep Learning Technique To Examine The Relationship Between Obesity And Walking Patterns, Sungchul Lee, Eunmin Hwang, Yanghee Kim, Fatih Demir, Hyunhwa Lee, Joshua J. Mosher, Eunyoung Jang, Kiho Lim

Nursing Faculty Publications

With the prevalence of obesity in adolescents, and its long-term influence on their overall health, there is a large body of research exploring better ways to reduce the rate of obesity. A traditional way of maintaining an adequate body mass index (BMI), calculated by measuring the weight and height of an individual, is no longer enough, and we are in need of a better health care tool. Therefore, the current research proposes an easier method that offers instant and real-time feedback to the users from the data collected from the motion sensors of a smartphone. The study utilized the mHealth …

Modeling Bmi, Dietary Habits, And Physical Activity Among Ethnically Diverse Urban College Students, Hollie Jones, Nicholas Freudenberg, Lorraine Mongiello

Journal of Health Disparities Research and Practice

Objectives The objective of this research study was to examine the relationship between BMI, physical activity, dietary habits, and student demographic factors (age, ethnicity, income, immigration, and sex). Given the association between overweight and obesity and the inequitable burden of chronic health conditions among ethnic minority populations, a deeper understanding of the socioeconomic, gender, age, and racial/ethnic variation in BMI, physical activity, and dietary habits is needed. The shifting demographics of urban college populations make urban college campuses an important setting for addressing the lifetime health needs of ethnically diverse urban populations.

Methods In this cross-sectional non-experimental study, we used …