Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Medicine and Health Sciences
Obesity Heterogeneity By Neighborhood Context In A Largely Latinx Sample, Ashley W. Kranjac, Dinko Kranjac, Zeev N. Kain, Louis Ehwerhemuepha, Brooke N. Jenkins
Obesity Heterogeneity By Neighborhood Context In A Largely Latinx Sample, Ashley W. Kranjac, Dinko Kranjac, Zeev N. Kain, Louis Ehwerhemuepha, Brooke N. Jenkins
Sociology Faculty Articles and Research
Neighborhood socioeconomic context where Latinx children live may influence body weight status. Los Angeles County and Orange County of Southern California both are on the list of the top ten counties with the largest Latinx population in the USA. This heterogeneity allowed us to estimate differential impacts of neighborhood environment on children’s body mass index z-scores by race/ethnicity using novel methods and a rich data source. We geocoded pediatric electronic medical record data from a predominantly Latinx sample and characterized neighborhoods into unique residential contexts using latent profile modeling techniques. We estimated multilevel linear regression models that adjust for …
Wavelet-Based Analysis Of Physical Activity And Sleep Movement Data From Wearable Sensors Among Obese Adults, Rahul Soangra, Vennila Krishnan
Wavelet-Based Analysis Of Physical Activity And Sleep Movement Data From Wearable Sensors Among Obese Adults, Rahul Soangra, Vennila Krishnan
Physical Therapy Faculty Articles and Research
Decreased physical activity in obese individuals is associated with a prevalence of cardiovascular and metabolic disorders. Physicians usually recommend that obese individuals change their lifestyle, specifically changes in diet, exercise, and other physical activities for obesity management. Therefore, understanding physical activity and sleep behavior is an essential aspect of obesity management. With innovations in mobile and electronic health care technologies, wearable inertial sensors have been used extensively over the past decade for monitoring human activities. Despite significant progress with the wearable inertial sensing technology, there is a knowledge gap among researchers regarding how to analyze longitudinal multi-day inertial sensor data …