Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 50 of 135

1.

Elevated insulin levels following seven days of increased sedentary time are due to lower hepatic extraction and not higher insulin secretion.

Viskochil R, Lyden K, Staudenmayer J, Keadle SK, Freedson PS, Braun B.

Appl Physiol Nutr Metab. 2019 Apr 10. doi: 10.1139/apnm-2018-0802. [Epub ahead of print]

PMID:
30970217
2.

Managing free-living hyperglycemia with exercise or interrupted sitting in type 2 diabetes.

Blankenship JM, Chipkin SR, Freedson PS, Staudenmayer J, Lyden K, Braun B.

J Appl Physiol (1985). 2019 Mar 1;126(3):616-625. doi: 10.1152/japplphysiol.00389.2018. Epub 2018 Dec 20.

PMID:
30571292
3.

Influence of Accelerometer Calibration Approach on Moderate-Vigorous Physical Activity Estimates for Adults.

Matthews CE, Keadle SK, Berrigan D, Staudenmayer J, F Saint-Maurice P, Troiano RP, Freedson PS.

Med Sci Sports Exerc. 2018 Nov;50(11):2285-2291. doi: 10.1249/MSS.0000000000001691.

PMID:
29933344
4.

Physical activity classification with dynamic discriminative methods.

Ray EL, Sasaki JE, Freedson PS, Staudenmayer J.

Biometrics. 2018 Dec;74(4):1502-1511. doi: 10.1111/biom.12892. Epub 2018 Jun 19.

PMID:
29921026
5.

Validity of proximity sensor-based wear-time detection using the ActiGraph GT9X.

Arguello D, Andersen K, Morton A, Freedson PS, Intille SS, John D.

J Sports Sci. 2018 Jul;36(13):1502-1507. doi: 10.1080/02640414.2017.1398891. Epub 2017 Nov 3.

PMID:
29099649
6.

Youth Oriented Activity Trackers: Comprehensive Laboratory- and Field-Based Validation.

Sirard JR, Masteller B, Freedson PS, Mendoza A, Hickey A.

J Med Internet Res. 2017 Jul 19;19(7):e250. doi: 10.2196/jmir.6360.

7.

The activPALTM Accurately Classifies Activity Intensity Categories in Healthy Adults.

Lyden K, Keadle SK, Staudenmayer J, Freedson PS.

Med Sci Sports Exerc. 2017 May;49(5):1022-1028. doi: 10.1249/MSS.0000000000001177.

8.

Advantages and Limitations of Wearable Activity Trackers: Considerations for Patients and Clinicians.

Walker RK, Hickey AM, Freedson PS.

Clin J Oncol Nurs. 2016 Dec 1;20(6):606-610. Review.

PMID:
27857250
9.

Energy Expenditure for 70 Activities in Children and Adolescents.

Sasaki JE, Howe C, John D, Hickey A, Steeves J, Conger S, Lyden K, Kozey-Keadle S, Burkart S, Alhassan S, Bassett D Jr, Freedson PS.

J Phys Act Health. 2016 Jun;13(6 Suppl 1):S24-8. doi: 10.1123/jpah.2015-0712.

PMID:
27392373
10.

Utility of Consumer Physical Activity Trackers as an Intervention Tool in Cardiovascular Disease Prevention and Treatment.

Hickey AM, Freedson PS.

Prog Cardiovasc Dis. 2016 May-Jun;58(6):613-9. doi: 10.1016/j.pcad.2016.02.006. Epub 2016 Mar 2. Review.

PMID:
26943981
11.

Performance of Activity Classification Algorithms in Free-Living Older Adults.

Sasaki JE, Hickey AM, Staudenmayer JW, John D, Kent JA, Freedson PS.

Med Sci Sports Exerc. 2016 May;48(5):941-50. doi: 10.1249/MSS.0000000000000844.

12.

Response to "Breaking-up sedentary time is associated with impairment in activities of daily living".

Kozey Keadle S, Lyden K, Freedson PS.

Exp Gerontol. 2015 Dec;72:279-80. doi: 10.1016/j.exger.2015.10.002. Epub 2015 Oct 23. No abstract available.

PMID:
26477485
13.

Utilization and Harmonization of Adult Accelerometry Data: Review and Expert Consensus.

Wijndaele K, Westgate K, Stephens SK, Blair SN, Bull FC, Chastin SF, Dunstan DW, Ekelund U, Esliger DW, Freedson PS, Granat MH, Matthews CE, Owen N, Rowlands AV, Sherar LB, Tremblay MS, Troiano RP, Brage S, Healy GN.

Med Sci Sports Exerc. 2015 Oct;47(10):2129-39. doi: 10.1249/MSS.0000000000000661.

14.

Impact of accelerometer data processing decisions on the sample size, wear time and physical activity level of a large cohort study.

Keadle SK, Shiroma EJ, Freedson PS, Lee IM.

BMC Public Health. 2014 Nov 24;14:1210. doi: 10.1186/1471-2458-14-1210.

15.

Discrete features of sedentary behavior impact cardiometabolic risk factors.

Lyden K, Keadle SK, Staudenmayer J, Braun B, Freedson PS.

Med Sci Sports Exerc. 2015 May;47(5):1079-86. doi: 10.1249/MSS.0000000000000499.

16.

The independent and combined effects of exercise training and reducing sedentary behavior on cardiometabolic risk factors.

Kozey Keadle S, Lyden K, Staudenmayer J, Hickey A, Viskochil R, Braun B, Freedson PS.

Appl Physiol Nutr Metab. 2014 Jul;39(7):770-80. doi: 10.1139/apnm-2013-0379. Epub 2014 Jan 7.

17.

Validation of the Fitbit wireless activity tracker for prediction of energy expenditure.

Sasaki JE, Hickey A, Mavilia M, Tedesco J, John D, Kozey Keadle S, Freedson PS.

J Phys Act Health. 2015 Feb;12(2):149-54. doi: 10.1123/jpah.2012-0495. Epub 2014 Apr 17.

PMID:
24770438
18.

Cross-validation of waist-worn GENEA accelerometer cut-points.

Welch WA, Bassett DR, Freedson PS, John D, Steeves JA, Conger SA, Ceaser TG, Howe CA, Sasaki JE.

Med Sci Sports Exerc. 2014 Sep;46(9):1825-30. doi: 10.1249/MSS.0000000000000283.

19.

Validation of a previous day recall for measuring the location and purpose of active and sedentary behaviors compared to direct observation.

Kozey Keadle S, Lyden K, Hickey A, Ray EL, Fowke JH, Freedson PS, Matthews CE.

Int J Behav Nutr Phys Act. 2014 Feb 3;11:12. doi: 10.1186/1479-5868-11-12.

20.

Patterns of accelerometer-assessed sedentary behavior in older women.

Shiroma EJ, Freedson PS, Trost SG, Lee IM.

JAMA. 2013 Dec 18;310(23):2562-3. doi: 10.1001/jama.2013.278896. No abstract available.

21.

Comparison of raw acceleration from the GENEA and ActiGraphâ„¢ GT3X+ activity monitors.

John D, Sasaki J, Staudenmayer J, Mavilia M, Freedson PS.

Sensors (Basel). 2013 Oct 30;13(11):14754-63. doi: 10.3390/s131114754.

22.

Guide to the assessment of physical activity: Clinical and research applications: a scientific statement from the American Heart Association.

Strath SJ, Kaminsky LA, Ainsworth BE, Ekelund U, Freedson PS, Gary RA, Richardson CR, Smith DT, Swartz AM; American Heart Association Physical Activity Committee of the Council on Lifestyle and Cardiometabolic Health and Cardiovascular, Exercise, Cardiac Rehabilitation and Prevention Committee of the Council on Clinical Cardiology, and Council.

Circulation. 2013 Nov 12;128(20):2259-79. doi: 10.1161/01.cir.0000435708.67487.da. Epub 2013 Oct 14.

PMID:
24126387
23.

ActiGraphâ„¢ activity monitors: "the firmware effect".

John D, Sasaki J, Hickey A, Mavilia M, Freedson PS.

Med Sci Sports Exerc. 2014 Apr;46(4):834-9. doi: 10.1249/MSS.0000000000000145.

PMID:
24042309
24.

Validation of a previous-day recall measure of active and sedentary behaviors.

Matthews CE, Keadle SK, Sampson J, Lyden K, Bowles HR, Moore SC, Libertine A, Freedson PS, Fowke JH.

Med Sci Sports Exerc. 2013 Aug;45(8):1629-38. doi: 10.1249/MSS.0b013e3182897690.

25.

A method to estimate free-living active and sedentary behavior from an accelerometer.

Lyden K, Keadle SK, Staudenmayer J, Freedson PS.

Med Sci Sports Exerc. 2014 Feb;46(2):386-97. doi: 10.1249/MSS.0b013e3182a42a2d.

26.

Comment on "estimating activity and sedentary behavior from an accelerometer on the hip and wrist".

Freedson PS, John D.

Med Sci Sports Exerc. 2013 May;45(5):962-3. doi: 10.1249/MSS.0b013e31827f024d. No abstract available.

PMID:
23594509
27.

Classification accuracy of the wrist-worn gravity estimator of normal everyday activity accelerometer.

Welch WA, Bassett DR, Thompson DL, Freedson PS, Staudenmayer JW, John D, Steeves JA, Conger SA, Ceaser T, Howe CA, Sasaki JE, Fitzhugh EC.

Med Sci Sports Exerc. 2013 Oct;45(10):2012-9. doi: 10.1249/MSS.0b013e3182965249.

28.

Classification of physical activities based on sparse representation.

Liu S, Gao RX, John D, Staudenmayer J, Freedson PS.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:6200-3. doi: 10.1109/EMBC.2012.6347410.

PMID:
23367345
29.

Accuracy of accelerometer regression models in predicting energy expenditure and METs in children and youth.

Alhassan S, Lyden K, Howe C, Kozey Keadle S, Nwaokelemeh O, Freedson PS.

Pediatr Exerc Sci. 2012 Nov;24(4):519-36.

30.

Wireless design of a multisensor system for physical activity monitoring.

Mo L, Liu S, Gao RX, John D, Staudenmayer JW, Freedson PS.

IEEE Trans Biomed Eng. 2012 Nov;59(11):3230-7. doi: 10.1109/TBME.2012.2208458.

PMID:
23086196
31.

Sustained and shorter bouts of physical activity are related to cardiovascular health.

Glazer NL, Lyass A, Esliger DW, Blease SJ, Freedson PS, Massaro JM, Murabito JM, Vasan RS.

Med Sci Sports Exerc. 2013 Jan;45(1):109-15. doi: 10.1249/MSS.0b013e31826beae5.

32.

Validity of two wearable monitors to estimate breaks from sedentary time.

Lyden K, Kozey Keadle SL, Staudenmayer JW, Freedson PS.

Med Sci Sports Exerc. 2012 Nov;44(11):2243-52. doi: 10.1249/MSS.0b013e318260c477.

33.

Computational methods for estimating energy expenditure in human physical activities.

Liu S, Gao RX, Freedson PS.

Med Sci Sports Exerc. 2012 Nov;44(11):2138-46. doi: 10.1249/MSS.0b013e31825e825a. Review.

34.

A recess intervention to promote moderate-to-vigorous physical activity.

Howe CA, Freedson PS, Alhassan S, Feldman HA, Osganian SK.

Pediatr Obes. 2012 Feb;7(1):82-8. doi: 10.1111/j.2047-6310.2011.00007.x.

PMID:
22434742
35.

SVM-based multi-sensor fusion for free-living physical activity assessment.

Liu S, Gao RX, John D, Staudenmayer J, Freedson PS.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:3188-91. doi: 10.1109/IEMBS.2011.6090868.

PMID:
22255017
36.

Sedentary behaviors, weight, and health and disease risks.

Raynor HA, Bond DS, Freedson PS, Sisson SB.

J Obes. 2012;2012:852743. doi: 10.1155/2012/852743. Epub 2011 Dec 11. No abstract available.

37.

Multisensor data fusion for physical activity assessment.

Liu S, Gao RX, John D, Staudenmayer JW, Freedson PS.

IEEE Trans Biomed Eng. 2012 Mar;59(3):687-96. doi: 10.1109/TBME.2011.2178070. Epub 2011 Dec 5.

PMID:
22156943
38.

Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample.

Freedson PS, Lyden K, Kozey-Keadle S, Staudenmayer J.

J Appl Physiol (1985). 2011 Dec;111(6):1804-12. doi: 10.1152/japplphysiol.00309.2011. Epub 2011 Sep 1.

39.

Calibrating a novel multi-sensor physical activity measurement system.

John D, Liu S, Sasaki JE, Howe CA, Staudenmayer J, Gao RX, Freedson PS.

Physiol Meas. 2011 Sep;32(9):1473-89. doi: 10.1088/0967-3334/32/9/009. Epub 2011 Aug 3.

40.

Validation and comparison of ActiGraph activity monitors.

Sasaki JE, John D, Freedson PS.

J Sci Med Sport. 2011 Sep;14(5):411-6. doi: 10.1016/j.jsams.2011.04.003. Epub 2011 May 25.

PMID:
21616714
41.

Accuracy of four resting metabolic rate prediction equations: effects of sex, body mass index, age, and race/ethnicity.

Hasson RE, Howe CA, Jones BL, Freedson PS.

J Sci Med Sport. 2011 Jul;14(4):344-51. doi: 10.1016/j.jsams.2011.02.010. Epub 2011 Mar 31.

PMID:
21458373
42.

Validation of wearable monitors for assessing sedentary behavior.

Kozey-Keadle S, Libertine A, Lyden K, Staudenmayer J, Freedson PS.

Med Sci Sports Exerc. 2011 Aug;43(8):1561-7. doi: 10.1249/MSS.0b013e31820ce174.

PMID:
21233777
43.

A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations.

Lyden K, Kozey SL, Staudenmeyer JW, Freedson PS.

Eur J Appl Physiol. 2011 Feb;111(2):187-201. doi: 10.1007/s00421-010-1639-8. Epub 2010 Sep 15.

44.

Energy expenditure and enjoyment of common children's games in a simulated free-play environment.

Howe CA, Freedson PS, Feldman HA, Osganian SK.

J Pediatr. 2010 Dec;157(6):936-942.e1-2. doi: 10.1016/j.jpeds.2010.06.041. Epub 2010 Aug 13.

PMID:
20708746
45.

Effects of a single exercise bout on insulin sensitivity in black and white individuals.

Hasson RE, Granados K, Chipkin S, Freedson PS, Braun B.

J Clin Endocrinol Metab. 2010 Oct;95(10):E219-23. doi: 10.1210/jc.2010-0019. Epub 2010 Jul 14.

PMID:
20631019
46.

Promises and pitfalls of emerging measures of physical activity and the environment.

Troiano RP, Freedson PS.

Am J Prev Med. 2010 Jun;38(6):682-3. doi: 10.1016/j.amepre.2010.03.005. No abstract available.

47.

Accelerometer output and MET values of common physical activities.

Kozey SL, Lyden K, Howe CA, Staudenmayer JW, Freedson PS.

Med Sci Sports Exerc. 2010 Sep;42(9):1776-84. doi: 10.1249/MSS.0b013e3181d479f2.

48.

Physical activity and risk of small-for-gestational-age birth among predominantly Puerto Rican women.

Gollenberg AL, Pekow P, Bertone-Johnson ER, Freedson PS, Markenson G, Chasan-Taber L.

Matern Child Health J. 2011 Jan;15(1):49-59. doi: 10.1007/s10995-009-0563-1.

PMID:
20082127
49.

Use of continuous glucose monitoring in normoglycemic, insulin-resistant women.

Hasson RE, Freedson PS, Braun B.

Eur J Appl Physiol. 2010 Apr;108(6):1181-7. doi: 10.1007/s00421-009-1325-x. Epub 2009 Dec 23.

PMID:
20033205
50.

Sedentary behaviors and abnormal glucose tolerance among pregnant Latina women.

Gollenberg AL, Pekow P, Bertone-Johnson ER, Freedson PS, Markenson G, Chasan-Taber L.

Med Sci Sports Exerc. 2010 Jun;42(6):1079-85. doi: 10.1249/MSS.0b013e3181c6dec8.

PMID:
19997024

Supplemental Content

Loading ...
Support Center