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Results: 1 to 20 of 109

1.

A formative evaluation of the SWITCH® obesity prevention program: print versus online programming.

Welk GJ, Chen S, Nam YH, Weber TE.

BMC Obes. 2015 May 3;2:20. doi: 10.1186/s40608-015-0049-1. eCollection 2015.

2.

Prevalence of Youth Fitness in the United States: Baseline Results from the NFL PLAY 60 FITNESSGRAM Partnership Project.

Bai Y, Saint-Maurice PF, Welk GJ, Allums-Featherston K, Candelaria N, Anderson K.

J Pediatr. 2015 Jul 7. pii: S0022-3476(15)00542-9. doi: 10.1016/j.jpeds.2015.05.035. [Epub ahead of print]

PMID:
26188802
3.

Comparison of Consumer and Research Monitors under Semistructured Settings.

Bai Y, Welk GJ, Nam YH, Lee JA, Lee JM, Kim Y, Meier NF, Dixon PM.

Med Sci Sports Exerc. 2015 Jul 6. [Epub ahead of print]

PMID:
26154336
4.

Cross-Validation of a PACER Prediction Equation for Assessing Aerobic Capacity in Hungarian Youth.

Saint-Maurice PF, Welk GJ, Finn KJ, Kaj M.

Res Q Exerc Sport. 2015 Jun 26;86 Suppl 1:S66-73. doi: 10.1080/02701367.2015.1043002.

PMID:
26054958
5.

Health-Related Physical Fitness in Hungarian Youth: Age, Sex, and Regional Profiles.

Welk GJ, Saint-Maurice PF, Csányi T.

Res Q Exerc Sport. 2015 Jun 26;86 Suppl 1:S45-57. doi: 10.1080/02701367.2015.1043231.

PMID:
26054956
6.

Overview of the Hungarian National Youth Fitness Study.

Csányi T, Finn KJ, Welk GJ, Zhu W, Karsai I, Ihász F, Vass Z, Molnár L.

Res Q Exerc Sport. 2015 Jun 26;86 Suppl 1:S3-S12. doi: 10.1080/02701367.2015.1042823.

PMID:
26054954
7.

Agreement and Diagnostic Performance of FITNESSGRAM®, International Obesity Task Force, and Hungarian National BMI Standards.

Laurson KR, Welk GJ, Marton O, Kaj M, Csányi T.

Res Q Exerc Sport. 2015 Jun 26;86 Suppl 1:S21-8. doi: 10.1080/02701367.2015.1042786.

PMID:
26054952
8.

Criterion Validity of Competing Accelerometry-based Activity Monitoring Devices.

Kim Y, Welk GJ.

Med Sci Sports Exerc. 2015 Apr 23. [Epub ahead of print]

PMID:
25910051
9.

Subjective Estimation of Physical Activity Using the IPAQ Varies by Fitness Level.

Shook RP, Gribben NC, Hand GA, Paluch AE, Welk GJ, Jakicic JM, Hutto B, Burgess S, Blair SN.

J Phys Act Health. 2015 Apr 21. [Epub ahead of print]

PMID:
25898394
10.

Adherence to physical activity guidelines in mid-pregnancy does not reduce sedentary time: an observational study.

Di Fabio DR, Blomme CK, Smith KM, Welk GJ, Campbell CG.

Int J Behav Nutr Phys Act. 2015 Feb 24;12:27. doi: 10.1186/s12966-015-0191-7.

11.

Development of an aerobic capacity prediction model from one-mile run/walk performance in adolescents aged 13-16 years.

Burns RD, Hannon JC, Brusseau TA, Eisenman PA, Shultz BB, Saint-Maurice PF, Welk GJ, Mahar MT.

J Sports Sci. 2015 Apr 7:1-9. [Epub ahead of print]

PMID:
25845945
12.

Associations Between Physical Activity and Metabolic Syndrome: Comparison Between Self-Report and Accelerometry.

Tucker JM, Welk GJ, Beyler NK, Kim Y.

Am J Health Promot. 2015 Mar 25. [Epub ahead of print]

PMID:
25806568
13.

The Context of Physical Activity in a Representative Sample of Adults.

Welk GJ, Kim Y.

Med Sci Sports Exerc. 2015 Feb 19. [Epub ahead of print]

PMID:
25699482
14.

Extracting objective estimates of sedentary behavior from accelerometer data: measurement considerations for surveillance and research applications.

Kim Y, Welk GJ, Braun SI, Kang M.

PLoS One. 2015 Feb 6;10(2):e0118078. doi: 10.1371/journal.pone.0118078. eCollection 2015.

15.

Comparisons of prediction equations for estimating energy expenditure in youth.

Kim Y, Crouter SE, Lee JM, Dixon PM, Gaesser GA, Welk GJ.

J Sci Med Sport. 2014 Oct 18. pii: S1440-2440(14)00202-3. doi: 10.1016/j.jsams.2014.10.002. [Epub ahead of print]

PMID:
25459235
16.

Validation of the SenseWear Mini Armband in Children during Semi-Structure Activity Settings.

Lee JM, Kim Y, Bai Y, Gaesser GA, Welk GJ.

J Sci Med Sport. 2014 Oct 14. pii: S1440-2440(14)00204-7. doi: 10.1016/j.jsams.2014.10.004. [Epub ahead of print]

PMID:
25459233
17.

Web-based assessments of physical activity in youth: considerations for design and scale calibration.

Saint-Maurice PF, Welk GJ.

J Med Internet Res. 2014 Dec 1;16(12):e269. doi: 10.2196/jmir.3626.

18.

Objective and subjective measurement of energy expenditure in older adults: a doubly labeled water study.

Calabro MA, Kim Y, Franke WD, Stewart JM, Welk GJ.

Eur J Clin Nutr. 2015 Jul;69(7):850-5. doi: 10.1038/ejcn.2014.241. Epub 2014 Nov 5.

PMID:
25351651
19.

The criterion-referenced validity of the FITNESSGRAM Trunk-Extension test.

St Maurice PF, Welk GJ, Burns R, Plowman SA, Corbin CB, Hannon JC.

J Sports Med Phys Fitness. 2014 Oct 10. [Epub ahead of print]

PMID:
25303074
20.

Validity of physical activity monitors for assessing lower intensity activity in adults.

Calabró MA, Lee JM, Saint-Maurice PF, Yoo H, Welk GJ.

Int J Behav Nutr Phys Act. 2014 Sep 28;11:119. doi: 10.1186/s12966-014-0119-7.

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