What is the percentage of adults who met the physical activity guidelines for aerobic physical activity in the year 2013?

1. Physical Activity Guidelines Advisory Committee 2018 Physical Activity Guidelines Advisory Committee Scientific Report. Washington, DC: U.S. Department of Health and Human Services; (2018). [Google Scholar]

2. Troiano RP, Berrigan D, Dodd KW, Mâsse L, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. (2008) 40:181–8. 10.1249/mss.0b013e31815a51b3 [PubMed] [CrossRef] [Google Scholar]

3. Tudor-Locke C, Brashear MM, Johnson WD, Katzmarzyk PT. Accelerometer profiles of physical activity and inactivity in normal weight, overweight, and obese U.S. men and women. Int J Behav Nutr Phys Act. (2010) 7:60. 10.1186/1479-5868-7-60 [PMC free article] [PubMed] [CrossRef] [Google Scholar]

4. Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee IM, et al.. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc. (2011) 43:1334–59. 10.1249/MSS.0b013e318213fefb [PubMed] [CrossRef] [Google Scholar]

5. Centers for Disease Control and Prevention (CDC) National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey Data. Hyattsville, MD: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, (2006). Available online at: http://www.cdc.gov/nchs/about/major/nhanes/datalink.htm

6. Watson KB, Carlson S, Carroll DD, Fulton J. Comparison of accelerometer cut points to estimate physical activity in U.S. adults. J Sports Sci. (2014) 32:660–9. 10.1080/02640414.2013.847278 [PMC free article] [PubMed] [CrossRef] [Google Scholar]

7. Crouter SE, DellaValle DM, Haas JD, Frongillo EA, Bassett DR. Validity of the ActiGraph 2-regression model, Matthews cut-points, and NHANES cut-points for assessing free-living physical activity. J Phys Act Health. (2013) 10:504–14. 10.1123/jpah.10.4.504 [PMC free article] [PubMed] [CrossRef] [Google Scholar]

8. Matthew CE. Calibration of accelerometer output for adults. Med Sci Sports Exerc. (2005) 37:S512–22. 10.1249/01.mss.0000185659.11982.3d [PubMed] [CrossRef] [Google Scholar]

9. Saint-Maurice PF, Troiano RP, Berrigan D, Kraus WE, Matthews CE. Volume of light versus moderate-to-vigorous physical activity: similar benefits for all-cause mortality? J Am Heart Assoc. (2018) 3:e008815 10.1161/JAHA.118.008815 [PMC free article] [PubMed] [CrossRef] [Google Scholar]

10. Welk GJ, McClain JJ, Eisenmann JC, Wickel EE. Field validation of the MTI actigraph and bodymedia armband monitor using the IDEEA monitor. Obesity. (2007) 15:918–28. 10.1038/oby.2007.624 [PubMed] [CrossRef] [Google Scholar]

11. Migueles JH, Cadenas-Sanchez C, Tudor-Locke C, Löf M, Esteban-Cornejo I, Molina-Garcia P, et al.. Comparability of published cut-points for the assessment of physical activity: implications for data harmonization. Scand J Med Sci Sports. (2018) 29:566–74. 10.1111/sms.13356 [PubMed] [CrossRef] [Google Scholar]

12. Warburton DER, Bredin SSD. Reflections on physical activity and health: what should we recommend? Can J Cardiol. (2016) 32:495–504. 10.1016/j.cjca.2016.01.024 [PubMed] [CrossRef] [Google Scholar]

13. Kohl HW, Craig CL, Lambert EV, Inoue S, Alkandari JR, Leetongin G, et al.. The pandemic of physical inactivity: global action for public health. Lancet. (2012) 380:294–305. 10.1016/S0140-6736(12)60898-8 [PubMed] [CrossRef] [Google Scholar]

14. Lee I-M, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. (2012) 380:219–29. 10.1016/S0140-6736(12)61031-9 [PMC free article] [PubMed] [CrossRef] [Google Scholar]

15. Troiano RP, McClain JJ, Brychta RJ, Chen KY. Evolution of accelerometer methods for physical activity research. Br J Sports Med. (2014) 48:1019–23. 10.1136/bjsports-2014-093546 [PMC free article] [PubMed] [CrossRef] [Google Scholar]

16. Trost SG. State of the art reviews: measurement of physical activity in children and adolescents. Am J Lifestyle Med. (2007) 1:299–314. 10.1177/1559827607301686 [CrossRef] [Google Scholar]

17. Trost SG, O'Neil M. Clinical use of objective measures of physical activity. Br J Sports Med. (2014) 48:178–81. 10.1136/bjsports-2013-093173 [PubMed] [CrossRef] [Google Scholar]


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Distribution of characteristics among study participants, National Health and Nutrition Examination Survey (NHANES) 2003–2006 (n = 6,525).

UnweightedWeighted
n%%(95% CI)
Sex
   Male3,22049.448.1(46.7, 49.6)
   Female3,30550.751.9(50.4, 53.3)
Age group
   18–24 years87613.411.2(9.9, 12.5)
   25–44 years1,99130.539.2(36.5, 41.8)
   45–64 years1,92629.533.0(30.6, 35.4)
   65+ years1,92629.516.6(15.0, 18.3)
Race/Ethnicity
   Non-Hispanic White/other3,60055.277.0(72.8, 81.2)
   Non-Hispanic Black1,32920.411.5(8.6, 14.5)
   Hispanic1,59624.511.5(8.8, 14.2)
Body Mass Index (BMI; kg/m2)
   Underweight1041.61.7(1.4, 2.0)
   Healthy weight2,04231.332.8(30.9, 34.8)
   Overweight2,04231.334.0(32.0, 35.9)
   Obese2,08231.931.5(29.3, 33.7)