Year |
Citation |
Score |
2020 |
Wolfe AM, Lee JA, Laurson KR. Socioeconomic status and physical fitness in youth: Findings from the NHANES National Youth Fitness Survey. Journal of Sports Sciences. 1-8. PMID 31952463 DOI: 10.1080/02640414.2020.1713688 |
0.405 |
|
2019 |
Cowley JC, McCaw ST, Laurson KR, Torry MR. Children Who Are Overweight Display Altered Vertical Jump Kinematics and Kinetics From Children Who Are Not Overweight. Pediatric Exercise Science. 1-7. PMID 31476733 DOI: 10.1123/Pes.2019-0025 |
0.371 |
|
2019 |
Castro-Piñero J, Laurson KR, Artero EG, Ortega FB, Labayen I, Ruperez AI, Zaqout M, Manios Y, Vanhelst J, Marcos A, Polito A, Gonzalez-Gross M, Widhalm K, Moreno LA, Gutierrez A, et al. Muscle strength field-based tests to identify European adolescents at risk of metabolic syndrome: The HELENA study. Journal of Science and Medicine in Sport. PMID 31060964 DOI: 10.1016/J.Jsams.2019.04.008 |
0.305 |
|
2018 |
Betz HH, Eisenmann JC, Laurson KR, DuBose KD, Reeves MJ, Carlson JJ, Pfeiffer KA. Physical Activity, BMI, and Blood Pressure in US Youth: NHANES 2003-2006. Pediatric Exercise Science. 1-8. PMID 29543117 DOI: 10.1123/Pes.2017-0127 |
0.574 |
|
2018 |
Guseman EH, Eisenmann JC, Laurson K, Cook SR, Stratbucker W. Calculating a Continuous Metabolic Syndrome Score Using Nationally Representative Reference Values. Academic Pediatrics. PMID 29496545 DOI: 10.1016/J.Acap.2018.02.011 |
0.453 |
|
2018 |
Smudde MP, Laurson KR, Brown DD, Dennis KK. Physical Activity Guideline Adherence and Physical Fitness Medicine & Science in Sports & Exercise. 50: 528. DOI: 10.1249/01.Mss.0000536825.49189.D0 |
0.392 |
|
2017 |
Jennings MA, Brown DD, Laurson KR, Williams SM, Henninger ML, Phelps D. The Impact of Grant Funding on Physical Fitness Levels of School Children Medicine & Science in Sports & Exercise. 49: 708. DOI: 10.1249/01.Mss.0000518880.40372.94 |
0.399 |
|
2017 |
Grimwood JC, Brown DD, Laurson KR, Williams SM, Henninger ML, Barnes JL, Phelps D. Association of Fruit and Vegetable Intake with Cardiorespiratory Fitness in Adolescents Medicine & Science in Sports & Exercise. 49: 324. DOI: 10.1249/01.Mss.0000517756.21245.20 |
0.316 |
|
2016 |
Laurson KR, Saint-Maurice PF, Welk GJ, Eisenmann JC. Reference curves for field tests of musculoskeletal fitness in U.S. children and adolescents: The 2012 NHANES National Youth Fitness Survey. Journal of Strength and Conditioning Research. PMID 27741055 DOI: 10.1519/Jsc.0000000000001678 |
0.574 |
|
2016 |
Lee JA, Laurson KR. Obesity and Insulin Resistance Screening Tools in American Adolescents: National Health and Nutrition Examination Survey (NHANES) 1999 to 2010. Canadian Journal of Diabetes. PMID 27103108 DOI: 10.1016/J.Jcjd.2015.11.009 |
0.333 |
|
2016 |
Bohr AD, Laurson K, McQueen MB. A novel cutoff for the waist-to-height ratio predicting metabolic syndrome in young American adults. Bmc Public Health. 16: 295. PMID 27036488 DOI: 10.1186/S12889-016-2964-6 |
0.346 |
|
2016 |
Bai Y, Chen S, Laurson KR, Kim Y, Saint-Maurice PF, Welk GJ. The Associations of Youth Physical Activity and Screen Time with Fatness and Fitness: The 2012 NHANES National Youth Fitness Survey. Plos One. 11: e0148038. PMID 26820144 DOI: 10.1371/Journal.Pone.0148038 |
0.497 |
|
2016 |
Gutierrez AA, Williams SM, Coleman MM, Garrahy DA, Laurson KR. Physical Education and Recess Contributions to Sixth Graders’ Physical Activity The Physical Educator. 73. DOI: 10.18666/Tpe-2016-V73-I1-6193 |
0.425 |
|
2015 |
Lee JA, Laurson KR. Validity of the SenseWear armband step count measure during controlled and free-living conditions. Journal of Exercise Science and Fitness. 13: 16-23. PMID 29541094 DOI: 10.1016/J.Jesf.2014.11.002 |
0.326 |
|
2015 |
Laurson KR, Welk GJ, Marton O, Kaj M, Csányi T. Agreement and Diagnostic Performance of FITNESSGRAM®, International Obesity Task Force, and Hungarian National BMI Standards. Research Quarterly For Exercise and Sport. 86: S21-8. PMID 26054952 DOI: 10.1080/02701367.2015.1042786 |
0.35 |
|
2015 |
Laurson KR, Saint-Maurice PF, Karsai I, Csányi T. Cross-Validation of FITNESSGRAM® Health-Related Fitness Standards in Hungarian Youth. Research Quarterly For Exercise and Sport. 86: S13-20. PMID 26054951 DOI: 10.1080/02701367.2015.1042800 |
0.335 |
|
2015 |
Lee JA, Williams SM, Brown DD, Laurson KR. Concurrent validation of the Actigraph gt3x+, Polar Active accelerometer, Omron HJ-720 and Yamax Digiwalker SW-701 pedometer step counts in lab-based and free-living settings. Journal of Sports Sciences. 33: 991-1000. PMID 25517396 DOI: 10.1080/02640414.2014.981848 |
0.317 |
|
2015 |
Laurson KR, Lee JA, Eisenmann JC. The cumulative impact of physical activity, sleep duration, and television time on adolescent obesity: 2011 Youth Risk Behavior Survey. Journal of Physical Activity & Health. 12: 355-60. PMID 24828876 DOI: 10.1123/Jpah.2013-0402 |
0.572 |
|
2015 |
Laurson KR, Welk GJ, Eisenmann JC. Estimating physical activity in children: impact of pedometer wear time and metric. Journal of Physical Activity & Health. 12: 124-31. PMID 24733038 DOI: 10.1123/Jpah.2013-0111 |
0.612 |
|
2015 |
Zook KA, Brown DD, Williams SM, Laurson KR, Marcum NS. Contribution Of In-school Physical Activity To Daily Activity Patterns In 5th-grade Children Medicine & Science in Sports & Exercise. 47: 917. DOI: 10.1249/01.Mss.0000479217.46215.A5 |
0.413 |
|
2015 |
Panfil TE, Laurson KR. Associations Between Physical Activity And Weight Status With Grade-school Performance Medicine & Science in Sports & Exercise. 47: 478. DOI: 10.1249/01.Mss.0000477745.16183.1E |
0.386 |
|
2015 |
Carlson KA, Thomas DQ, Stinson A, Laurson KR, Brown DD. The Relationship Between BMI and Body Composition in Collegiate Athletes Medicine & Science in Sports & Exercise. 47: 35. DOI: 10.1249/01.Mss.0000476493.15344.69 |
0.329 |
|
2014 |
Saint-Maurice PF, Welk GJ, Laurson KR, Brown DD. Measurement agreement between estimates of aerobic fitness in youth: the impact of body mass index. Research Quarterly For Exercise and Sport. 85: 59-67. PMID 24749237 DOI: 10.1080/02701367.2013.872217 |
0.323 |
|
2014 |
Laurson KR, Lee JA, Gentile DA, Walsh DA, Eisenmann JC. Concurrent Associations between Physical Activity, Screen Time, and Sleep Duration with Childhood Obesity. Isrn Obesity. 2014: 204540. PMID 24734210 DOI: 10.1155/2014/204540 |
0.581 |
|
2014 |
Kim Y, Lee JM, Laurson K, Bai Y, Gaesser GA, Welk GJ. Accuracy of Neck Circumference in Classifying Overweight and Obese US Children. Isrn Obesity. 2014: 781841. PMID 24639913 DOI: 10.1155/2014/781841 |
0.396 |
|
2014 |
Laurson KR, Welk GJ, Eisenmann JC. Diagnostic performance of BMI percentiles to identify adolescents with metabolic syndrome. Pediatrics. 133: e330-8. PMID 24470650 DOI: 10.1542/Peds.2013-1308 |
0.55 |
|
2014 |
Barnas J, Micinski N, Wheatley L, Laurson K, Thomas D, Brown D. Accuracy of Consumer Grade Bioelectrical Impedance Analyzers to Assess Body Composition. Medicine & Science in Sports & Exercise. 46: 619. DOI: 10.1249/01.Mss.0000495325.84960.C3 |
0.322 |
|
2014 |
Carlson KA, Thomas DQ, Stinson A, Laurson KR, Brown DD. The Relationship Between BMI and Body Composition in Collegiate Athletes from Non-Contact Sports Medicine & Science in Sports & Exercise. 46: 51. DOI: 10.1249/01.Mss.0000493317.47062.24 |
0.323 |
|
2013 |
Bohr AD, Brown DD, Laurson KR, Smith PJ, Bass RW. Relationship between socioeconomic status and physical fitness in junior high school students. The Journal of School Health. 83: 542-7. PMID 23834605 DOI: 10.1111/Josh.12063 |
0.366 |
|
2013 |
Bass RW, Brown DD, Laurson KR, Coleman MM. Physical fitness and academic performance in middle school students. Acta Paediatrica (Oslo, Norway : 1992). 102: 832-7. PMID 23621404 DOI: 10.1111/Apa.12278 |
0.319 |
|
2013 |
McGee A, Williams SM, Coleman MM, Hurd A, Laurson KR. Step counts and self-reported physical activity among upper elementary school students vary with aerobic fitness Biomedical Human Kinetics. 5: 93-98. DOI: 10.2478/Bhk-2013-0014 |
0.316 |
|
2013 |
Williams SM, Phelps D, Laurson KR, Thomas DQ, Brown DD. Fitness knowledge, cardiorespiratory endurance and body composition of high school students Biomedical Human Kinetics. 5: 17-21. DOI: 10.2478/Bhk-2013-0004 |
0.341 |
|
2011 |
Laurson KR, Eisenmann JC, Welk GJ. Development of youth percent body fat standards using receiver operating characteristic curves. American Journal of Preventive Medicine. 41: S93-9. PMID 21961618 DOI: 10.1016/J.Amepre.2011.07.003 |
0.552 |
|
2011 |
Laurson KR, Eisenmann JC, Welk GJ. Body fat percentile curves for U.S. children and adolescents. American Journal of Preventive Medicine. 41: S87-92. PMID 21961617 DOI: 10.1016/J.Amepre.2011.06.044 |
0.599 |
|
2011 |
Welk GJ, Laurson KR, Eisenmann JC, Cureton KJ. Development of youth aerobic-capacity standards using receiver operating characteristic curves. American Journal of Preventive Medicine. 41: S111-6. PMID 21961610 DOI: 10.1016/J.Amepre.2011.07.007 |
0.564 |
|
2011 |
Eisenmann JC, Laurson KR, Welk GJ. Aerobic fitness percentiles for U.S. adolescents. American Journal of Preventive Medicine. 41: S106-10. PMID 21961609 DOI: 10.1016/J.Amepre.2011.07.005 |
0.524 |
|
2011 |
Laurson KR, Eisenmann JC, Welk GJ. Body Mass Index standards based on agreement with health-related body fat. American Journal of Preventive Medicine. 41: S100-5. PMID 21961608 DOI: 10.1016/J.Amepre.2011.07.004 |
0.564 |
|
2011 |
Wheatley LV, Holloway M, Laurson KR, Brown DD. Comparison Of Physical Activity Estimated By The Sensewear Armband And Digiwalker Pedometer During Free-Living Medicine & Science in Sports & Exercise. 43: 62-63. DOI: 10.1249/01.Mss.0000402858.63352.C9 |
0.331 |
|
2011 |
Warning JT, Brown DD, Laurson KR, Lagally KM. Evaluation of Physical Fitness Scores in Children and Adolescents Medicine & Science in Sports & Exercise. 43: 898. DOI: 10.1249/01.Mss.0000402509.38353.56 |
0.438 |
|
2011 |
Lierman AM, Slack MA, Brown DD, Laurson KR. Accuracy of Cellular Phone Fitness Applications to Assess Physical Activity Medicine & Science in Sports & Exercise. 43: 700. DOI: 10.1249/01.Mss.0000401940.58192.F8 |
0.388 |
|
2011 |
Marshall MR, Laurson K, Heelan K, Eisenmann J. Pre-gravid Weight Status, Birthweight, Physical Activity And Body Fat As Predictors Of Blood Pressure Development In Children Medicine & Science in Sports & Exercise. 43: 271. DOI: 10.1249/01.Mss.0000400745.74343.Bc |
0.416 |
|
2010 |
Eisenmann JC, Laurson KR, DuBose KD, Smith BK, Donnelly JE. Construct validity of a continuous metabolic syndrome score in children. Diabetology & Metabolic Syndrome. 2: 8. PMID 20181030 DOI: 10.1186/1758-5996-2-8 |
0.55 |
|
2010 |
Bass RW, Brown DD, Laurson KR, Coleman M. Relationships Between Physical Fitness And Academic Achievement In Middle School Students Medicine & Science in Sports & Exercise. 42: 524. DOI: 10.1249/01.Mss.0000385285.33453.64 |
0.315 |
|
2009 |
Welk GJ, Eisenmann JC, Laurson KR. Derivation Of Aerobic Fitness Cutpoints For Adolescents Using Reciever Operator Characteristic (ROC) Curve Analyses Medicine & Science in Sports & Exercise. 41: 443-444. DOI: 10.1249/01.Mss.0000355900.67072.7B |
0.523 |
|
2009 |
Laurson KR, Eisenmann JC, Welk GJ. Agreement Between Body Mass Index and Percent Body Fat In Determining Clinical Cutpoints For Youth Medicine & Science in Sports & Exercise. 41: 181. DOI: 10.1249/01.Mss.0000355108.05419.86 |
0.537 |
|
2008 |
Laurson KR, Eisenmann JC, Welk GJ, Wickel EE, Gentile DA, Walsh DA. Combined influence of physical activity and screen time recommendations on childhood overweight. The Journal of Pediatrics. 153: 209-14. PMID 18534231 DOI: 10.1016/J.Jpeds.2008.02.042 |
0.741 |
|
2008 |
Laurson KR, Brown DD, Cullen RW, Dennis KK. Heart rates of high school physical education students during team sports, individual sports, and fitness activities. Research Quarterly For Exercise and Sport. 79: 85-91. PMID 18431954 DOI: 10.1080/02701367.2008.10599463 |
0.31 |
|
2008 |
Laurson K, Eisenmann JC, Moore S. Lack of association between television viewing, soft drinks, physical activity and body mass index in children. Acta Paediatrica (Oslo, Norway : 1992). 97: 795-800. PMID 18410467 DOI: 10.1111/J.1651-2227.2008.00713.X |
0.622 |
|
2008 |
Laurson KR, Eisenmann JC, Welk GJ, Wickel EE, Gentile DA, Walsh DA. Evaluation of youth pedometer-determined physical activity guidelines using receiver operator characteristic curves. Preventive Medicine. 46: 419-24. PMID 18234326 DOI: 10.1016/J.Ypmed.2007.12.017 |
0.741 |
|
2008 |
Laurson KR, Eisenmann JC, Welk GJ, Gentile DA, Walsh DA. Assessing Habitual Physical Activity with Pedometers: Influence of Time Worn, Data Exclusion Criteria, and Metric Medicine & Science in Sports & Exercise. 40: S202. DOI: 10.1249/01.Mss.0000322330.14631.3A |
0.572 |
|
2007 |
Eisenmann JC, Laurson KR, Wickel EE, Gentile D, Walsh D. Utility of pedometer step recommendations for predicting overweight in children. International Journal of Obesity (2005). 31: 1179-82. PMID 17264846 DOI: 10.1038/Sj.Ijo.0803553 |
0.738 |
|
2007 |
Laurson KR, Eisenmann JC. Prevalence of overweight among high school football linemen. Jama. 297: 363-4. PMID 17244832 DOI: 10.1001/Jama.297.4.363 |
0.518 |
|
2007 |
Laurson KR, Eisenmann JC, Wickel EE, Gentile DA, Walsh D. Prevalence of Pedometer-Determined Physical Activity and the Utility of Current Pedometer Step Recommendations for Predicting Overweight in Children Medicine & Science in Sports & Exercise. 39: S186. DOI: 10.1249/01.Mss.0000273693.69596.3E |
0.74 |
|
2005 |
Laurson KR, Brown D, Cullen R, Dennis K. Effect Of New Equipment And Technology On Physical Fitness Scores In Adolescents Medicine & Science in Sports & Exercise. 37: S428. DOI: 10.1097/00005768-200505001-02226 |
0.341 |
|
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