Medicine and Health Sciences 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 …

Patterns Of Commodity Food Use Among American Indians, Michelle Chino, Darlene R. Haff, Carolee Dodge Francis

Environmental & Occupational Health Faculty Publications

Objectives: To better understand risks for obesity and diabetes among American Indians.

Methods: Adults from tribes across the country surveyed to explore commodity food use patterns and food choice.

Results: Respondents reported second and third generation commodity food use. Current commodity users stated preferences for canned and packaged meals and were more likely to participate in other federal food programs.

Conclusions: Low-income, nutritionally stressed families relying on federal food programs may be at increased risk of obesity and diet-related chronic conditions due to long-term use of foods that are high in fat and calories and low in fiber.