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Dive into the research topics where Gregory J. Welk is active.

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Featured researches published by Gregory J. Welk.


International Journal of Obesity | 2008

Combined influence of physical activity and television viewing on the risk of overweight in US youth

Joey C. Eisenmann; R T Bartee; D T Smith; Gregory J. Welk; Q Fu

Objective:The purpose of this study was to examine the combined influence of physical activity (PA) and television viewing (TV) on the risk of overweight in US youth ages 14–18 years.Research design and methods:Cross-sectional data from a nationally representative sample of approximately 13 600 US high school students participating in the 2001 Centers for Disease Control and Prevention Youth Risk Behavior Survey (YRBS) were examined. Participants were cross-tabulated into nine PA–TV groups according to the level of moderate (MPA) or vigorous PA (VPA) (low: ⩽2 days per week; moderate: 3–5 days per week; high: 6–7 days per week) and TV (low: ⩽1 h per day; moderate: 2–3 h per day; high: ⩾4 h per day). The referent group was the low TV/high PA group. The body mass index was used to determine overweight and obesity based on the International Obesity Task Force reference values. Logistic regression was used to examine the influence of TV and PA on the odds of overweight in boys and girls, while controlling for age and ethnicity.Results:Boys and girls watching low levels of TV did not have increased odds of overweight regardless of PA level with the exception of girls with low TV/low VPA (odds ratio (OR)=1.48). Girls who watched moderate and high levels of TV had increased odds of overweight at any level of MPA or VPA (OR 1.24–3.11). In girls, the odds of overweight increased in a graded manner across PA levels for both the moderate and high levels of TV. Girls with high TV/low VPA had the highest odds of overweight (OR=3.11). In general, most of the associations were stronger in girls compared to boys.Conclusion:The results highlight the importance of considering both PA and TV as risk factors for overweight in adolescents.


American Journal of Preventive Medicine | 2011

Physical Activity in U.S. Adults Compliance with the Physical Activity Guidelines for Americans

Jared M. Tucker; Gregory J. Welk; Nicholas Beyler

BACKGROUND To date, no study has objectively measured physical activity levels among U.S. adults according to the 2008 Physical Activity Guidelines for Americans (PAGA). PURPOSE The purpose of this study was to assess self-reported and objectively measured physical activity among U.S. adults according to the PAGA. METHODS Using data from the NHANES 2005-2006, the PAGA were assessed using three physical activity calculations: moderate plus vigorous physical activity ≥150 minutes/week (MVPA); moderate plus two instances of vigorous physical activity ≥150 minutes/week (M2VPA); and time spent above 3 METs ≥500 MET-minutes/week (METPA). Self-reported physical activity included leisure, transportation, and household activities. Objective activity was measured using Actigraph accelerometers that were worn for 7 consecutive days. Analyses were conducted in 2009-2010. RESULTS U.S. adults reported 324.5 ± 18.6 minutes/week (M ± SE) of moderate physical activity and 73.6 ± 3.9 minutes/week of vigorous physical activity, although accelerometry estimates were 45.1 ± 4.6 minutes/week of moderate physical activity and 18.6 ± 6.6 minutes/week of vigorous physical activity. The proportion of adults meeting the PAGA according to M2VPA was 62.0% for self-report and 9.6% for accelerometry. CONCLUSIONS According to the NHANES 2005-2006, fewer than 10% of U.S. adults met the PAGA according to accelerometry. However, physical activity estimates vary substantially depending on whether self-reported or measured via accelerometer.


American Journal of Preventive Medicine | 1998

Effects of physical activity interventions in youth. Review and synthesis

Elaine J. Stone; Thomas L. McKenzie; Gregory J. Welk; Michael Booth

INTRODUCTION Physical inactivity has been identified as an important public health concern for youth. School and community settings can be important infrastructures for promoting physical activity (PA). This paper reviews studies of physical activity in school and community settings among preschool through college-aged persons to determine characteristics and effects of interventions. Studies in progress are included. METHODS Studies from 1980 to 1997 testing physical activity interventions in schools and community settings were identified by computerized search methods and reference lists of published reviews. Studies needed to have used a quantitative assessment of PA, used a comparison or control group, included participants who were preschool through college age, and be conducted in the United States or foreign school or community settings. Significance of effects was examined overall and for various types of interventions. RESULTS Twenty-two school-based studies were reviewed, 14 completed and 8 in progress. Three studies were in countries other than the United States. The 8 studies in progress were all in the United States. Only 7 community studies were reviewed, all in the United States. Four studies were in progress. Several community studies involved a high percentage of African-American or Hispanic youth and their families. Studies showing the best results used randomized designs, valid and reliable measurements, and more extensive interventions. Some follow-up results showed PA was sustained after interventions ended. CONCLUSIONS The collection of school and community studies is limited for several age groups with none below third grade and only three at college age. There are few community studies. The most is known about upper-elementary-age-students, including the first multicenter randomized trial to report significant results for increasing moderate to vigorous physical activity (MVPA) in physical education (PE) and increase vigorous PA outside of school. A number of older study designs were weak and assessments less than optimal, but studies in progress are stronger. Special attention is needed for girls, middle schools, and community settings for all youth. More objective assessments are needed for measuring PA outside of school and in younger children, since they cannot provide reliable self-report.


Medicine and Science in Sports and Exercise | 2010

Accuracy of Armband Monitors for Measuring Daily Energy Expenditure in Healthy Adults

Darcy L. Johannsen; Miguel A. Calabro; Jeanne Stewart; Warren D. Franke; Jennifer Rood; Gregory J. Welk

INTRODUCTION There is a need to develop accurate devices for measuring daily energy expenditure under free-living conditions, particularly given our current obesity epidemic. PURPOSE The purpose of the present study was to evaluate the validity of energy expenditure estimates from two portable armband devices, the SenseWear Pro3 Armband (SWA) monitor and the SenseWear Mini Armband (Mini) monitor, under free-living conditions. METHODS Participants in the study (30 healthy adults aged 24-60 yr) wore both monitors for 14 consecutive days, including while sleeping. Criterion values for total energy expenditure (TEE) were determined using doubly labeled water (DLW), the established criterion standard method for free-living energy expenditure assessment. RESULTS The average TEE estimates were within 112 kcal·d−¹ for the SWA and within 22 kcal·d−¹ for the Mini, but the absolute error rates (computed as the average absolute value of the individual errors) were similar for the two monitors (SWA = 8.1% ± 6.8%, Mini = 8.3% ± 6.5%). Using intraclass correlation (ICC) analysis, significant agreements were found between the SWA and DLW estimates of energy expenditure (ICC = 0.80, 95% CI = 0.89-0.70) and between the Mini and DLW (ICC = 0.85, 95% CI = 0.92-0.76). Graphical plots of the DLW TEE values against the difference between DLW and monitor estimates of TEE showed that the agreement was consistent across a range of TEE values. CONCLUSIONS The SenseWear Pro3 and the SenseWear Mini armbands show promise for accurately measuring daily energy expenditure under free-living conditions. However, more work is needed to improve the ability of these monitors to accurately measure energy expenditure at higher levels of expenditure.


Quest | 1999

The Youth Physical Activity Promotion Model: A Conceptual Bridge Between Theory and Practice

Gregory J. Welk

Many theoretical models have been proposed to understand the factors influencing physical activity behavior; however. few have been specifically developed for children. The purpose of this paper is to describe a conceptual model of physical activity promotion that is based on the unique developmental, psycho1ogical, and behavioral characteristics children. The current model adopts a social-ecological framework by acknowledging the input of various personal, social, and environmental influences on childrens physical activity. The model also unites constructs from competing theoretical frameworks to provide a conceptual basis for comparing various models. It is hoped that this model will serve as a bridge between theory and practice and will enhance the promotion of physical activity among children.


Medicine and Science in Sports and Exercise | 2000

The utility of the Digi-walker step counter to assess daily physical activity patterns.

Gregory J. Welk; Jerome A. Differding; Raymond W. Thompson; Steven N. Blair; Jim Dziura; Peter Hart

PURPOSE The Digi-Walker step counter is a promising and cost-effective tool to measure physical activity under free-living conditions. Two specific studies were conducted to evaluate the number of steps required to meet current physical activity guidelines. METHODS Thirty-one adults (17 men, 14 women) served as participants. In study 1, we determined the number of steps to complete a mile under two different conditions and three paces. In study 2, we conducted a field trial to examine the relationship between daily step counts and other indices of physical activity. Participants in this study wore a Digi-Walker for 2 consecutive weeks and completed the 7-d physical activity recall (PAR) after each week. RESULTS In study 1, there were no differences in step counts by site, but steps were inversely related to pace, with values ranging from 1330 to 1996. Individual step counts at a specific pace were negatively correlated with height, weight, leg length, and stride length and were positively correlated with body fatness. In study 2, participants had average daily step counts of 11,603 when structured vigorous activity was included and 8265 when only light and moderate activity were measured. Modest correlations were found between step counts and estimated energy expenditure. Similar correlations were observed when step counts were related to minutes of activity per day and minutes of sitting per day. CONCLUSIONS Pedometers provide a useful indicator of daily step counts but variability in activity patterns make it difficult to establish step count guidelines that correspond with other public health guidelines.


American Journal of Preventive Medicine | 1998

Physical Activity InterventionsEffects of physical activity interventions in youth: Review and synthesis

Elaine J. Stone; Thomas L. McKenzie; Gregory J. Welk; Michael Booth

INTRODUCTION Physical inactivity has been identified as an important public health concern for youth. School and community settings can be important infrastructures for promoting physical activity (PA). This paper reviews studies of physical activity in school and community settings among preschool through college-aged persons to determine characteristics and effects of interventions. Studies in progress are included. METHODS Studies from 1980 to 1997 testing physical activity interventions in schools and community settings were identified by computerized search methods and reference lists of published reviews. Studies needed to have used a quantitative assessment of PA, used a comparison or control group, included participants who were preschool through college age, and be conducted in the United States or foreign school or community settings. Significance of effects was examined overall and for various types of interventions. RESULTS Twenty-two school-based studies were reviewed, 14 completed and 8 in progress. Three studies were in countries other than the United States. The 8 studies in progress were all in the United States. Only 7 community studies were reviewed, all in the United States. Four studies were in progress. Several community studies involved a high percentage of African-American or Hispanic youth and their families. Studies showing the best results used randomized designs, valid and reliable measurements, and more extensive interventions. Some follow-up results showed PA was sustained after interventions ended. CONCLUSIONS The collection of school and community studies is limited for several age groups with none below third grade and only three at college age. There are few community studies. The most is known about upper-elementary-age-students, including the first multicenter randomized trial to report significant results for increasing moderate to vigorous physical activity (MVPA) in physical education (PE) and increase vigorous PA outside of school. A number of older study designs were weak and assessments less than optimal, but studies in progress are stronger. Special attention is needed for girls, middle schools, and community settings for all youth. More objective assessments are needed for measuring PA outside of school and in younger children, since they cannot provide reliable self-report.


Medicine and Science in Sports and Exercise | 2014

Validity of consumer-based physical activity monitors.

Jung-Min Lee; Youngwon Kim; Gregory J. Welk

BACKGROUND Many consumer-based monitors are marketed to provide personal information on the levels of physical activity and daily energy expenditure (EE), but little or no information is available to substantiate their validity. PURPOSE This study aimed to examine the validity of EE estimates from a variety of consumer-based, physical activity monitors under free-living conditions. METHODS Sixty (26.4 ± 5.7 yr) healthy males (n = 30) and females (n = 30) wore eight different types of activity monitors simultaneously while completing a 69-min protocol. The monitors included the BodyMedia FIT armband worn on the left arm, the DirectLife monitor around the neck, the Fitbit One, the Fitbit Zip, and the ActiGraph worn on the belt, as well as the Jawbone Up and Basis B1 Band monitor on the wrist. The validity of the EE estimates from each monitor was evaluated relative to criterion values concurrently obtained from a portable metabolic system (i.e., Oxycon Mobile). Differences from criterion measures were expressed as a mean absolute percent error and were evaluated using 95% equivalence testing. RESULTS For overall group comparisons, the mean absolute percent error values (computed as the average absolute value of the group-level errors) were 9.3%, 10.1%, 10.4%, 12.2%, 12.6%, 12.8%, 13.0%, and 23.5% for the BodyMedia FIT, Fitbit Zip, Fitbit One, Jawbone Up, ActiGraph, DirectLife, NikeFuel Band, and Basis B1 Band, respectively. The results from the equivalence testing showed that the estimates from the BodyMedia FIT, Fitbit Zip, and NikeFuel Band (90% confidence interval = 341.1-359.4) were each within the 10% equivalence zone around the indirect calorimetry estimate. CONCLUSIONS The indicators of the agreement clearly favored the BodyMedia FIT armband, but promising preliminary findings were also observed with the Fitbit Zip.


Obesity | 2007

Field Validation of the MTI Actigraph and BodyMedia Armband Monitor Using the IDEEA Monitor

Gregory J. Welk; James J. McClain; Joey C. Eisenmann; Eric E. Wickel

Objective: Accelerometers offer considerable promise for improving estimates of physical activity (PA) and energy expenditure (EE) in free‐living subjects. Differences in calibration equations and cut‐off points have made it difficult to determine the most accurate way to process these data. 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.


Medicine and Science in Sports and Exercise | 2004

Comparison of two approaches to structured physical activity surveys for adolescents

Robert G. McMurray; Kimberly Ring; Margarita S. Treuth; Gregory J. Welk; Russell R. Pate; Kathryn H. Schmitz; Julie L. Pickrel; Vivian Gonzalez; M Jaoa C. A. Almedia; Deborah Rohm Young; James F. Sallis

PURPOSE To compare the test-retest reliability, convergent validity, and overall feasibility/ usability of activity-based (AB) and time-based (TB) approaches for obtaining self-reported moderate-to-vigorous physical activity (MVPA) from adolescents. METHODS Adolescents (206 females and 114 males) completed two 3-d physical activity recalls using the AB and TB surveys, which contained identical lists of physical activities. The participants wore an MTI Actigraph accelerometer for the same period. RESULTS The TB instrument took about 3 min longer to complete (P = 0.022). Overall 2-d test-retest correlations for MVPA were similar for the two surveys (r = 0.676 and 0.667), but the girls had higher reliability on the AB survey than the boys (girls: r = 0.713; boys: r = 0.568). The overall 3-d correlations for MVPA surveys and Actigraph counts varied by gender (girls: AB = 0.265 vs TB = 0.314; boys: AB = 0.340 vs TB = 0.277). Correlations for vigorous physical activity and Actigraph counts were higher for the AB than for the TB (r = 0.281 vs 0.162). As the interval between completing the surveys and the days being recalled increased, reliability and validity were lower, especially for the AB survey. CONCLUSION For both genders, either approach is acceptable for obtaining MVPA information on a single day, but the TB approach appears to be slightly favored over the AB approach for obtaining multiple days of MVPA. A 3-d recall period appears to be too long for accurate recall of MVPA information from either instrument. For both genders, the surveys overestimated activity levels; thus, self-reports should be supplemented with objective data.

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Youngwon Kim

University of Cambridge

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Yang Bai

Iowa State University

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Nicholas Beyler

Mathematica Policy Research

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