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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
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
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 …
Influence Of Biomedical Risk Factors On Chronic Low Back Pain Among Women, Jennifer Kawi
Influence Of Biomedical Risk Factors On Chronic Low Back Pain Among Women, Jennifer Kawi
Nursing Faculty Publications
Purpose Nurses and nurse practitioners are highly involved in managing patients with chronic low back pain (CLBP). Management remains challenging with persistent biomedical risk factors (e.g, high opioid use, Body Mass Index [BMI], chronic widespread pain). Due to pervasive pain care disparities among women, this quantitative pilot study evaluated biomedical risk factors among adult females with CLBP. Findings can assist in targeting risk factors to help address known undertreatment of pain in women. Methods This IRB-approved, descriptive, and cross-sectional study was conducted in a pain center to identify significant associations of relevant biomedical factors with pain/pain-related variables. Self-report questionnaires were …