Research Topics
| Greg J WelkSummaryAffiliation: Iowa State University Country: USA Publications
Research Grants
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Detail Information
Publications
HOP'N after-school project: an obesity prevention randomized controlled trialDavid A Dzewaltowski
Department of Kinesiology, Kansas State University, Manhattan, KS 66506, USA
Int J Behav Nutr Phys Act 7:90. 2010..abstract:..- Influence of socio-economic status on habitual physical activity and sedentary behavior in 8- to 11-year old childrenClemens Drenowatz
Department of Kinesiology, Michigan State University, East Lansing, MI, USA
BMC Public Health 10:214. 2010..The purpose of this study, therefore, is to examine whether physical activity and sedentary behavior differs in children by socio-economic status (SES) independent of body mass index... - SWITCH: rationale, design, and implementation of a community, school, and family-based intervention to modify behaviors related to childhood obesityJoey C Eisenmann
Michigan State University, East Lansing, MI, USA
BMC Public Health 8:223. 2008..Thus, it has been suggested that multi-level interventions that aim to influence healthy lifestyle behaviors at the community, school and family levels may prove more successful in the prevention of childhood obesity... - Evaluation of a multiple ecological level child obesity prevention program: Switch what you Do, View, and ChewDouglas A Gentile
Department of Psychology, Iowa State University, Ames, IA, USA
BMC Med 7:49. 2009.... 
Field validation of the MTI Actigraph and BodyMedia armband monitor using the IDEEA monitorGregory J Welk
Department of Health and Human Performance, 257 Forker Building, Iowa State University, Ames, IA 50011, USA
Obesity (Silver Spring) 15:918-28. 2007..The objective of this study was to compare the accuracy of various calibration equations and algorithms that are currently used with the MTI Actigraph (MTI) and the Sensewear Pro II (SP2) armband monitor...
Protocols for evaluating equivalency of accelerometry-based activity monitorsGregory J Welk
Department of Kinesiology, College of Human Sciences, Iowa State University, Ames, IA, USA
Med Sci Sports Exerc 44:S39-49. 2012..This article summarizes issues associated with monitor equivalency and proposes methods for standardization and quality control in future research...- The utility of the Digi-walker step counter to assess daily physical activity patternsG J Welk
Health and Human Performance Department, Iowa State University, Ames 50011, USA
Med Sci Sports Exerc 32:S481-8. 2000..Two specific studies were conducted to evaluate the number of steps required to meet current physical activity guidelines... - Distribution of health-related physical fitness in Texas youth: a demographic and geographic analysisGregory J Welk
Department of Kinesiology, Iowa State University, Ames, IA 50011, USA
Res Q Exerc Sport 81:S6-15. 2010..Clear spatial patterns in fitness achievement were also evident when data were analyzed at the region and county level using geodemographic information system software... - The association of health-related fitness with indicators of academic performance in Texas schoolsGregory J Welk
Department of Kinesiology, Iowa State University, Ames, IA 50011, USA
Res Q Exerc Sport 81:S16-23. 2010..School fitness attainment is an indicator of higher performing schools. Direction of causality cannot be inferred due to the cross-sectional nature of the data... - Development of youth aerobic-capacity standards using receiver operating characteristic curvesGregory J Welk
Department of Kinesiology, Iowa State University, Ames, Iowa 50011, USA
Am J Prev Med 41:S111-6. 2011..Cardiovascular fitness has important implications for current and future health in children... - Field evaluation of the new FITNESSGRAM® criterion-referenced standardsGregory J Welk
Department of Kinesiology, Iowa State University, Ames, Iowa 50011, USA
Am J Prev Med 41:S131-42. 2011..The Cooper Institute established new criterion-referenced standards for the body composition and cardiovascular fitness standards for the FITNESSGRAM(®) program... - Reliability and validity of questions on the youth media campaign longitudinal surveyGregory J Welk
Iowa State University, Ames, IA 50011, USA
Med Sci Sports Exerc 39:612-21. 2007..The study evaluated the reliability and validity of the physical activity questions in the Youth Media Campaign Longitudinal Survey (YMCLS), a nationally representative survey of 9- to 13-yr-old youth... - Comparison of the computerized ACTIVITYGRAM instrument and the previous day physical activity recall for assessing physical activity in childrenGregory J Welk
Department of Health and Human Performance, Iowa State University, Ames 50011, USA
Res Q Exerc Sport 75:370-80. 2004..The study also revealed no differences in PDPAR values or associations, when a simpler scoring procedure was used instead of the traditional more complex metabolic equivalent-based approach... - Principles of design and analyses for the calibration of accelerometry-based activity monitorsGregory J Welk
Department of Health and Human Performance, Iowa State University, Ames, IA 50011 1160, USA
Med Sci Sports Exerc 37:S501-11. 2005..Direct comparisons are made between a mixed model regression approach and an approach based on receiver operator characteristic curves... - Reliability of accelerometry-based activity monitors: a generalizability studyGregory J Welk
Department of Health and Human Performance, Iowa State University, Ames, IA 50011, USA
Med Sci Sports Exerc 36:1637-45. 2004..Improving understanding of error in these devices is an important research objective because they are increasingly being used in large surveillance studies and intervention trials that require the use of multiple units over time... - A comparative evaluation of three accelerometry-based physical activity monitorsG J Welk
Health and Human Performance Department, Iowa State University, Ames 50011, USA
Med Sci Sports Exerc 32:S489-97. 2000..The purpose of this study was to evaluate the absolute and relative validity of three contemporary activity monitors (Computer Science and Applications, Inc. [CSA], Tritrac, and Biotrainer) under both laboratory and field conditions... - Laboratory calibration and validation of the Biotrainer and Actitrac activity monitorsGregory J Welk
Iowa State University, Ames 50011, USA
Med Sci Sports Exerc 35:1057-64. 2003..The purpose of this study was to develop and test laboratory-based prediction equations for both monitors to estimate energy expenditure (EE) for walking/running movements... - Evaluation of youth pedometer-determined physical activity guidelines using receiver operator characteristic curvesKelly R Laurson
Department of Health and Human Performance, Iowa State University, Ames, IA 50011, USA
Prev Med 46:419-24. 2008..Evidence-based pedometer guidelines have not been sufficiently validated in youth. The purpose of this paper was to evaluate the utility of current pedometer-determined physical activity guidelines for youth... - Overview of the Texas Youth Fitness StudyJames R Morrow
Department of Kinesiology, Health Promotion and Recreation, University of North Texas, Denton, 76205 5017, USA
Res Q Exerc Sport 81:S1-5. 2010..Teacher commentary and experiences add to the description of the data collection processes. Last, the relations between psychosocial variables and health-related fitness in middle school students are described... - Relationship between adolescent fitness and fatness and cardiovascular disease risk factors in adulthood: the Aerobics Center Longitudinal Study (ACLS)Joey C Eisenmann
Department of Health and Human Performance, Iowa State University, Ames, Iowa 50010, USA
Am Heart J 149:46-53. 2005..To examine the relationship between cardiorespiratory fitness and body fatness during adolescence and cardiovascular disease (CVD) risk factors in adulthood... - Prediction of BMI change in young children with the family nutrition and physical activity (FNPA) screening toolMichelle A Ihmels
Department of Kinesiology, Iowa State University, Ames, IA, USA
Ann Behav Med 38:60-8. 2009..Youth obesity prevention practices would be enhanced if modifiable risk factors can be identified before children become overweight... - Stability of variables associated with the metabolic syndrome from adolescence to adulthood: the Aerobics Center Longitudinal StudyJoey C Eisenmann
Department of Health and Human Performance, Iowa State University, Ames, Iowa 50010, USA
Am J Hum Biol 16:690-6. 2004..The findings support the prevention and treatment of obesity, atherosclerosis, type 2 diabetes, and the metabolic syndrome during childhood and adolescence... - Validation of the SenseWear Pro Armband algorithms in childrenMiguel A Calabro
Department of Kinesiology, Iowa State University, Ames, IA, USA
Med Sci Sports Exerc 41:1714-20. 2009..The purpose of this study was to assess the validity of recently developed algorithms developed to take into account children's unique movement patterns... - Combined influence of physical activity and screen time recommendations on childhood overweightKelly R Laurson
Department of Health and Human Performance, Iowa State University, Ames, IA 50011, USA
J Pediatr 153:209-14. 2008..To examine the combined influence of physical activity and screen time (television and video games) on the odds of being overweight and to evaluate the utility of current public policy recommendations... - Combined influence of cardiorespiratory fitness and body mass index on cardiovascular disease risk factors among 8-18 year old youth: The Aerobics Center Longitudinal StudyJoey C Eisenmann
Department of Health and Human Performance, Iowa State University, Ames, IA 50010, USA
Int J Pediatr Obes 2:66-72. 2007..The purpose of this study was to examine differences in cardiovascular disease (CVD) risk factors across four cross-tabulated groups of cardiorespiratory fitness and body mass index in 8- to 18-year-old children and adolescents... - Fatness, fitness, and cardiovascular disease risk factors in children and adolescentsJoey C Eisenmann
Department of Health and Human Performance, Iowa State University, Ames, IA 50010, USA
Med Sci Sports Exerc 39:1251-6. 2007..The purpose of this study was to examine differences in cardiovascular disease (CVD) risk factors across four cross-tabulated groups of cardiorespiratory fitness and body fatness in youth... - Calibration of the biotrainer pro activity monitor in childrenGregory J Welk
Department of Kinesiology, Iowa State University, Ames, IA 50011, USA
Pediatr Exerc Sci 19:145-58. 2007..The cut point of 4 counts/min provides an ecologically valid cut point to capture physical activity in children using the Biotrainer Pro activity monitor... - Validation of a computerized 24-hour physical activity recall (24PAR) instrument with pattern-recognition activity monitorsMiguel A Calabro
Department of Kinesiology, Iowa State University, Ames, IA 50011, USA
J Phys Act Health 6:211-20. 2009..The purpose of this study was to examine the validity of a computerized 24-hour physical activity recall instrument (24PAR)... - Assessing body composition among 3- to 8-year-old children: anthropometry, BIA, and DXAJoey C Eisenmann
255 Forker, Department of Health and Human Performance, Iowa State University, Ames, IA 50011, USA
Obes Res 12:1633-40. 2004..However, all methods significantly underestimated body fatness as determined by DXA, and, overall, the various methods and prediction equations are not interchangeable... - Associations between sedentary behavior and blood pressure in young childrenDavid Martinez-Gomez
Department of Kinesiology, Iowa State University, Ames, Iowa, USA
Arch Pediatr Adolesc Med 163:724-30. 2009..To examine the effect of sedentary behavior on blood pressure (BP) in young children using different indicators of sedentariness... - Concurrent validation of the Bouchard Diary with an accelerometry-based monitorEric E Wickel
Department of Health and Human Performance, Iowa State University, Ames, IA, USA
Med Sci Sports Exerc 38:373-9. 2006..34 to 0.93 (mean r = 0.74). CONCLUSION: The overall response indicates that individuals are able to provide reasonable self-reported estimates of their activity levels across a day... - Differences in daily energy expenditure in lean and obese women: the role of posture allocationDarcy L Johannsen
Department of Food Science and Human Nutrition at Iowa State University, Ames, Iowa, USA
Obesity (Silver Spring) 16:34-9. 2008..The purposes of this study were to determine the RMR in lean and obese women controlling for FFM and investigate activity energy expenditure (AEE) and daily activity patterns in the two groups... - Development and preliminary validation of a Family Nutrition and Physical Activity (FNPA) screening toolMichelle A Ihmels
Department of Kinesiology, Iowa State University, Ames, Iowa, USA
Int J Behav Nutr Phys Act 6:14. 2009..abstract:.. - Self-management strategies mediate self-efficacy and physical activityRod K Dishman
Department of Kinesiology, University of Georgia, Athens, Georgia 30602 6554, USA
Am J Prev Med 29:10-8. 2005..Self-efficacy is theorized also to influence physical activity through self-management strategies (e.g., thoughts, goals, plans, and acts) that support physical activity, but this idea has not been empirically tested... - Comparison of two approaches to structured physical activity surveys for adolescentsRobert G McMurray
Department of Exercise and Sport Science, CB 8700, Fetzer Gym, University of North Carolina, Chapel Hill, NC 27599 8700, USA
Med Sci Sports Exerc 36:2135-43. 2004.... - Rural-urban differences in physical activity, physical fitness, and overweight prevalence of childrenRoxane R Joens-Matre
Des Moines University Master of Public Health Program, Des Moines University Osteopathic Medical Center, Des Moines, Iowa 50312, USA
J Rural Health 24:49-54. 2008..A better understanding of possible rural-urban differences in physical activity profiles may facilitate the development of more targeted physical activity interventions... - Predictive validity of an age-specific MET equation among youth of varying body sizeEric E Wickel
Department of Exercise and Sport Science, University of Tulsa, 308 Chapman Hall, Tulsa, OK 74104, USA
Eur J Appl Physiol 101:555-63. 2007..2 and 6.4 km h(-1). This effect was primary observed among relatively smaller children...
Research Grants
- A Measurement Error Approach to Estimating Usual Daily Physical Activity DistribuGreg Welk; Fiscal Year: 2009..Data analyses will involve the development and evaluation of statistical procedures that calibrate the self-report measure against objective physical data to obtain accurate estimates of "usual" physical activity in the population. ..
- A Measurement Error Approach to Estimating Usual Daily Physical Activity DistribuGreg J Welk; Fiscal Year: 2010..Data analyses will involve the development and evaluation of statistical procedures that calibrate the self-report measure against objective physical data to obtain accurate estimates of "usual" physical activity in the population. ..
- A Measurement Error Approach to Estimating Usual Daily Physical Activity DistribuGreg J Welk; Fiscal Year: 2010..The project is guided by a strong research team with expertise in all necessary facets of the study (physical activity assessment, survey design and administration, and measurement error modeling). ..