Research Database

1186 results for "Research Database"

Validity of Objective and Subjective Physical Activity Measurement During Pregnancy

  • Presented on May 30, 2014

Background: Pregnancy researchers use various physical activity (PA) measurement techniques. However, few studies have evaluated the validity of these techniques in free-living environments, and there is little agreement regarding which may be the best to use. Consensus on this issue would be valuable to future researchers wishing to compare results ...


A Comparison of Wrist and Hip Accelerometer Output at Different Walking Speeds

  • Presented on May 30, 2014

Background: Physical activity has been objectively measured using hip-worn accelerometers for decades. However, wrist-worn accelerometers are currently used in large-scale studies. Differences in wrist and hip dynamics during locomotion affect monitor output, which may impact how prediction models are built. Purpose: To compare ActiGraph™ wrist and hip accelerations (g’s) ...


Impact Of Accelerometer Data Processing Decisions On Data From Large Cohort Studies

  • Presented on May 30, 2014

Background: Accelerometers objectively assess physical activity (PA) and are increasingly used in epidemiologic studies. However, processing techniques are not standardized and limit data comparability across studies. Purpose: To compare the impact of wear-time assessment method and filter choice on accelerometer output in a large cohort. Methods: Participants (7,650 women, mean age 71.4...


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 ...


Development of Activity Type Classification Algorithms in Older Adults from Laboratory and Free-living Data

  • Presented on May 30, 2014

Purpose: To compare activity type recognition rates of machine learning algorithms trained on laboratory versus free-living accelerometer data in free-living older adults. Methods: Thirty-seven older adults (21F and 14M ; 70.8 ± 4.9 y) performed selected activities (total of 35 min) in the lab while wearing three ActiGraph GT3X+ activity monitors (dominant hip, wrist, ...




Model Accelerometer Paradata From The International Study Of Childhood Obesity, Lifestyle And The Environment (ISCOLE)

  • Presented on May 30, 2014

Background: Accelerometry paradata (administrative data related to collection/management/treatment) are inconsistently reported or limited to accounts of valid days and average wear time. Purpose: To present a model for reporting accelerometry paradata collected from children (mean age 10 years) at the Baton Rouge, USA site of the International Study of ...


Comparison Of Two Methods Of Estimating Active Commuting In School Children

  • Presented on May 30, 2014

Background: Active school travel provides a convenient, daily opportunity to contribute to meeting physical activity guidelines. Accelerometer-based studies of children’s active commuting often use a standardized 60-min estimation method, in which commuting is assumed to occur for an hour before and after school. We developed an individualized method in ...


Committed Exercisers And Exercise Deprivation: The Relation Of Biochemical Markers And Mood

  • Presented on May 30, 2014

Background: Habitual exerciser’s when deprived of their usual activity showed affective alterations should be this alterations to be associated with some biochemical markers. Purpose: Verify the effects of 14 days of exercise withdrawal on mood and biochemical marker’s in habitual exerciser’s. Methods: Participated in this study sixteen male ...