Obesity has become a worldwide health burden in the last two decades. Obesity has been
associated with increased comorbidities, such as coronary artery disease, diabetes, and …

Machine learning is a class of algorithms able to handle a large number of predictors with
potentially nonlinear relationships. By applying machine learning to obesity, researchers …

Background Although reports in adults suggest that breaks in sedentary time are associated
with reduced cardiometabolic risk, these findings have yet to be replicated in children …

The objective of this study was to examine the combined associations between time spent in
moderate-to vigorous-intensity physical activity (MVPA) and time spent sedentary in relation …

Importance Despite extensive evidence showing that lifestyle habits play a critical role in
preventing or delaying the onset of type 2 diabetes in adults, little is known regarding the …

Purpose This study examined whether body image self-discrepancy was a correlate of
depressive symptoms among 556 early adolescents (45% girls; M age= 11.65, SD=. 94 …

Objectives To describe the relationship between screen time and dietary intake among
children, and to examine this association in relation to body weight. Methods A cross …

Little is known about longitudinal associations between added sugar consumption (solid
and liquid sources) and glucose-insulin homeostasis among youth. Caucasian children (8 …

Objectives Sedentary behavior (SB) is distinct from physical inactivity. Children's guidelines
recommend≤ 2 h/day screen time and≥ 60 min/day moderate-to-vigorous physical activity …

Objective Although dual-energy X-ray absorptiometry (DEXA) is the preferred method to
estimate adiposity, body mass index (BMI) is often used as a proxy. However, the ability of …