Research Database

Association of Concurrent Healthy Eating and Regular Physical Activity With Cardiovascular Disease Risk Factors in U.S. Youth

  • Published on Nov. 5, 2014

Purpose: Examine whether concurrently consuming a healthy diet and regularly being physically active among U.S. youth is more favorably associated with cardiovascular disease (CVD) biomarkers than other physical activity and dietary patterns. Design: Cross-sectional. Setting: United States (National Health and Nutrition Examination Survey) 2003–2006. Subjects: Two thousand six hundred twenty-nine ...


Are adults with bipolar disorder active? Objectively measured physical activity and sedentary behavior using accelerometry

  • Published on Sept. 18, 2013

Background: Little is known about physical activity and sedentary behavior of adults with bipolar disorder (BP). Physical activity and sedentary behaviors may be modifiable factors associated with elevated rates of obesity, diabetes, cardiovascular disease, metabolic syndrome, and mortality in adults with BP. Methods: Sixty adult outpatients treated for BP (> 18 yr) ...


Feasibility and Acceptability of an Early Childhood Obesity Prevention Intervention: Results from the Healthy Homes, Healthy Families Pilot Study

  • Published on Oct. 27, 2014

Background: This study examined the feasibility and acceptability of a home-based early childhood obesity prevention intervention designed to empower low-income racially/ethnically diverse parents to modify their children’s health behaviors. Methods: We used a prospective design with pre-/posttest evaluation of 50 parent-child pairs (children aged 2 to 5 years) to examine ...


Associations among Physical Activity, Diet Quality, and Weight Status in U.S. Adults

  • Published on July 23, 2014

Purpose: Nearly 70% of adult Americans are overweight or obese, but the associations between physical activity, diet quality, and weight status have not been examined in a representative sample of U.S. adults. The purpose of this study was to examine the associations among moderate-to-vigorous physical activity (MVPA), diet quality, and ...


The "Fit but Fat" paradigm addressed using accelerometer-determined physical activity data

  • Published on July 18, 2014

Background: No studies have addressed the "fit but fat" paradigm using accelerometry data. Aim: The study was to determine if 1) higher levels of accelerometer-determined physical activity are favorably associated with biomarkers in overweight or obese persons (objective 1); and 2) overweight or obese individuals who are sufficiently active have better or similar ...


Unraveling the Relationship between Smoking andWeight: The Role of Sedentary Behavior

  • Published on 2012

Abstract: Research has shown that current smokers have a lower mean body mass index (BMI) than never and former smokers, with former smokers having the highest mean BMI. A number of physiologicalmechanisms have been hypothesized to explain this pattern, but few studies have explored the possible role of behavioral factors. ...


Interrelationships among sedentary time, sleep duration, and the metabolic syndrome in adults

  • Published on June 30, 2014

Background: The study objectives were to examine whether: 1) sedentary time is associated with sleep duration, 2) sedentary time predicts the metabolic syndrome (MetS) independent of sleep duration and vice versa, and 3) sedentary time and sleep duration have an interactive effect on the MetS. Methods: This cross-sectional study is based on the 2003–2006 ...



Association of Objectively Measured Sedentary Behavior with Obesity in Adults

  • Presented on May 30, 2014

Background: Obesity has been a significant public health concern among US adults. Recently, a great attention has been given to the sedentary behavior (SB) in relation to obesity; however, controversial results have been reported due to the use of less accurate measures of SB and obesity in adults. Purpose: ...


Classification of Cardiovascular Risk Using Accelerometer Data and Machine Learning Algorithms

  • Presented on May 30, 2014

Background: Physical activity patterns captured by accelerometers have been used to classify activity type with machine learning (ML) algorithms. ML may also be applied to accelerometer data for predicting cardiovascular (CV) health risk directly. Decision trees are efficient constructive search algorithms that develop rules for categorizing the data based ...