John R Sirard

Biographic Data

ID6067948
NAMEJohn R Sirard
GIVEN NAMESJohn R
FAMILY NAMESirard
SIGNATURESIRARD J R
AFFILIATIONSUniversity of South Carolina
ORCID0000-0003-4613-5683
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS11
WORKS AS AUTHOR9
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1998
LATEST PUBLICATION YEAR2020
H-INDEX2

  • Sleep is Inversely Associated with Sedentary Time among Youth with Obesity

    Krista Schroeder, Martha Y Kubik et al.ARTICLEAmerican Journal of Health Behavior2020

    Objective: Pathways underlying the sleep-obesity relationship in youth are poorly understood. In this study, we examined associations of sleep with sedentary time and moderate-to-vigorous physical activity (MVPA) among youth, stratified by weight category (obesity versus no obesity). A sub-aim examined whether controlling for screen time changed the sleep-sedentary time association. Methods: Methods entailed secondary analysis of baseline data co…

  • Comparison of the Effects of Stable and Dynamic Furniture on Physical Activity and Learning in Children

    Open AccessJeanette M Garcia, Terry T-K Huang et al.ARTICLEThe Journal of Primary Prevention2016

  • Adolescent physical activity and the built environment

    Open AccessKelsey Mcdonald, Mary Hearst et al.ARTICLEHealth & Place2011Cited by: 6References: 2

  • Using Pedometers to Increase Physical Activity and Improve Health

    Dena M Bravata, Crystal Smith-Spangler et al.ARTICLEJAMA2007

    CONTEXT: Without detailed evidence of their effectiveness, pedometers have recently become popular as a tool for motivating physical activity. OBJECTIVE: To evaluate the association of pedometer use with physical activity and health outcomes among outpatient adults. DATA SOURCES: English-language articles from MEDLINE, EMBASE, Sport Discus, PsychINFO, Cochrane Library, Thompson Scientific (formerly known as Thompson ISI), and ERIC (1966-2007); bi…

  • Longitudinal and Secular Trends in Physical Activity and Sedentary Behavior During Adolescence

    Melissa C Nelson, Dianne Neumark-Stzainer et al.ARTICLEPEDIATRICS2006

    OBJECTIVE. There is little epidemiologic research on longitudinal and secular trends in weight-related health behaviors throughout the stages of adolescence. In particular, few data are available to assess secular trends in various sedentary behaviors. The objective of this research was to investigate longitudinal and secular trends in physical activity and sedentary behavior in a large, diverse cohort of adolescents. METHODS. Project EAT-II is a…

  • Prevalence of Active Commuting at Urban and Suburban Elementary Schools in Columbia, SC

    John R Sirard, Barbara E Ainsworth et al.ARTICLEAmerican Journal of Public Health2005Cited by: 5

    We directly observed the prevalence of walking and bicycling (active commuting) to 8 randomly selected urban and suburban elementary schools. When school was used as the unit of analysis, only 5.0% of the students actively commuted to or from school across all observed trips. Active commuting was not affected (P ≥; 18) by school urbanization level, school socioeconomic status, time of day, day of week, weather conditions, or temperature. These re…

  • Age and gender differences in objectively measured physical activity in youth

    Stewart G Trost, Russell R Pate et al.ARTICLEMedicine & Science in Sports &…2002

    TROST, S. G., R. R. PATE, J. F. SALLIS, P. S. FREEDSON, W. C. TAYLOR, M. DOWDA, and J. SIRARD. Age and gender differences in objectively measured physical activity in youth. Med. Sci. Sports Exerc., Vol. 34, No. 2, pp. 350–355, 2002. Purpose The purpose of this study was to evaluate age and gender differences in objectively measured physical activity (PA) in a population-based sample of students in grades 1–12. Methods Participants (185 male, 190…

  • Physical Activity Assessment in Children and Adolescents

    Open AccessJohn R Sirard, Russell R PateARTICLESports Medicine2001

  • Calibration of the Computer Science and Applications, Inc. accelerometer

    Patty S Freedson, Edward L Melanson et al.ARTICLEMedicine & Science in Sports &…1998

    PURPOSE: We established accelerometer count ranges for the Computer Science and Applications, Inc. (CSA) activity monitor corresponding to commonly employed MET categories. METHODS: Data were obtained from 50 adults (25 males, 25 females) during treadmill exercise at three different speeds (4.8, 6.4, and 9.7 km x h(-1)). RESULTS: Activity counts and steady-state oxygen consumption were highly correlated (r = 0.88), and count ranges corresponding …