New relative intensity ambulatory accelerometer thresholds for elderly men and women: the Generation 100 study

Nina Zisko, Trude Carlsen, Øyvind Salvesen, Nils Petter Aspvik, Jan Erik Ingebrigtsen, Ulrik Wisløff, Dorthe Stensvold, Nina Zisko, Trude Carlsen, Øyvind Salvesen, Nils Petter Aspvik, Jan Erik Ingebrigtsen, Ulrik Wisløff, Dorthe Stensvold

Abstract

Background: Public health initiatives world-wide recommend increasing physical activity (PA) to improve health. However, the dose and the intensity of PA producing the most benefit are still debated. Accurate assessment of PA is necessary in order to 1) investigate the dose-response relationship between PA and health, 2) shape the most beneficial public health initiatives and 3) test the effectiveness of such initiatives. Actigraph accelerometer is widely used to objectively assess PA, and the raw data is given in counts per unit time. Count-thresholds for low, moderate and vigorous PA are mostly based on absolute intensity. This leads to largely inadequate PA intensity assessment in a large proportion of the elderly, who due to their declining maximal oxygen uptake (VO2max) cannot reach the moderate/vigorous intensity as defined in absolute terms. To resolve this issue, here we report relative Actigraph intensity-thresholds for the elderly.

Methods: Submaximal-oxygen-uptake, VO2max and maximal heart rate (HRmax) were measured in 111 70-77 year olds, while wearing an Actigraph-GT3X+. Relationship between VO2max percentage (%), counts-per-minute (CPM) and gender (for both the vertical-axis (VA) and vector-magnitude (VM)) and VO2max% and HRmax% was established using a mixed-regression-model. VM-and VA-models were tested against each other to see which model predicts intensity of PA better.

Results: VO2max and gender significantly affected number of CPM at different PA intensities (p < 0.05). Therefore, intensity-thresholds were created for both men and women of ranging VO2max values (low, medium, high). VM-model was found to be a better predictor of PA-intensity than VA-model (p < 0.05). Established thresholds for moderate intensity (46-63 % of VO2max) ranged from 669-3367 and 834-4048 CPM and vigorous intensity (64-90 % of VO2max) from 1625-4868 and 2012-5423CPM, for women and men, respectively. Lastly, we used this evidence to derive a formula that predicts customized relative intensity of PA (either VO2max% or HRmax%) using counts-per-minute values as input.

Conclusion: Intensity-thresholds depend on VO2max, gender and Actigraph-axis. PA intensity-thresholds that take all these factors into account allow for more accurate relative intensity PA assessment in the elderly and will be useful in future PA research.

Trial registration: (ClinicalTrials.gov Identifier: NCT02017847, registered 17. December 2013).

Figures

Fig. 1
Fig. 1
Study flow-chart
Fig. 2
Fig. 2
PA intensity (in VO2max%) prediction equation
Fig. 3
Fig. 3
Intensity thresholds for men and women of (a) low fitness level, (b) medium fitness level, (c) high fitness level, (d) pooled fitness (all three levels of fitness pooled together). VO2max% = percentage of maximal oxygen uptake. Cpm = counts per minute. VM = vector magnitude
Fig. 4
Fig. 4
Relationship between percentage of maximal oxygen uptake and percentage of maximal heart rate. VO2max% = percentage of maximal oxygen uptake. HRmax% = percentage of maximal heart rate

References

    1. Katzmarzyk PT. Physical activity, sedentary behavior, and health: paradigm paralysis or paradigm shift? Diabetes. 2010;59(11):2717–25. doi: 10.2337/db10-0822.
    1. WHO. Physical Inactivity: A Global Public Health Problem. 2014. . 2014.
    1. Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee IM, et al. American College of Sports Medicine position stand. 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(7):1334–59. doi: 10.1249/MSS.0b013e318213fefb.
    1. CDC. Promoting Physical Activity. Centers for Disease Control. 2012. . Accessed 24 January 2014.
    1. Knuth AG, Hallal PC. Temporal trends in physical activity: a systematic review. J Phys Act Health. 2009;6(5):548–59.
    1. Gorman E, Hanson HM, Yang PH, Khan KM, Liu-Ambrose T, Ashe MC. Accelerometry analysis of physical activity and sedentary behavior in older adults: a systematic review and data analysis. Eur Rev Aging Phys Act. 2014;11:35–49. doi: 10.1007/s11556-013-0132-x.
    1. Sallis JF, Saelens BE. Assessment of physical activity by self-report: status, limitations, and future directions. Res Q Exerc Sport. 2000;71(2 Suppl):S1–14. doi: 10.1080/02701367.2000.11082780.
    1. Prince SA, Adamo KB, Hamel ME, Hardt J, Connor Gorber S, Tremblay M. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act. 2008;5:56. doi: 10.1186/1479-5868-5-56.
    1. Tucker JM, Welk GJ, Beyler NK. Physical activity in U.S.: adults compliance with the Physical Activity Guidelines for Americans. Am J Prev Med. 2011;40(4):454–61. doi: 10.1016/j.amepre.2010.12.016.
    1. Copeland JL, Esliger DW. Accelerometer assessment of physical activity in active, healthy older adults. J Aging Phys Act. 2009;17(1):17–30.
    1. Esliger DCJ, Barnes J, Tremblay M. Standardizing and optimizing the use of accelerometer data for free-living physical activity monitoring. J Phys Act Health. 2005;3:366–83.
    1. Evenson KR, Buchner DM, Morland KB. Objective measurement of physical activity and sedentary behavior among US adults aged 60 years or older. Prev Chronic Dis. 2012;9
    1. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40(1):181–8. doi: 10.1249/mss.0b013e31815a51b3.
    1. Hagstromer M, Troiano RP, Sjostrom M, Berrigan D. Levels and patterns of objectively assessed physical activity--a comparison between Sweden and the United States. Am J Epidemiol. 2010;171(10):1055–64. doi: 10.1093/aje/kwq069.
    1. Lee IM, Sesso HD, Oguma Y, Paffenbarger RS., Jr Relative intensity of physical activity and risk of coronary heart disease. Circulation. 2003;107(8):1110–6. doi: 10.1161/01.CIR.0000052626.63602.58.
    1. Kaminsky LA, Arena R, Beckie TM, Brubaker PH, Church TS, Forman DE, et al. The importance of cardiorespiratory fitness in the United States: the need for a national registry: a policy statement from the American Heart Association. Circulation. 2013;127(5):652–62. doi: 10.1161/CIR.0b013e31827ee100.
    1. Healy GN, Matthews CE, Dunstan DW, Winkler EA, Owen N. Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06. Eur Heart J. 2011;32(5):590–7. doi: 10.1093/eurheartj/ehq451.
    1. Griffiths LJ, Cortina-Borja M, Sera F, Pouliou T, Geraci M, Rich C, et al. How active are our children? Findings from the Millennium Cohort Study. BMJ Open. 2013;3(8) doi: 10.1136/bmjopen-2013-002893.
    1. Ried-Larsen M, Grontved A, Froberg K, Ekelund U, Andersen LB. Physical activity intensity and subclinical atherosclerosis in Danish adolescents: the European Youth Heart Study. Scand J Med Sci Sports. 2013;23(3):e168–77. doi: 10.1111/sms.12046.
    1. Kelly LA, McMillan DG, Anderson A, Fippinger M, Fillerup G, Rider J. Validity of actigraphs uniaxial and triaxial accelerometers for assessment of physical activity in adults in laboratory conditions. BMC Med Phys. 2013;13(1):5. doi: 10.1186/1756-6649-13-5.
    1. Stensvold HV D, Rognmo Ø, Skogvoll E, Steinshamn S, Vatten LJ, Coombes JS, et al. A randomized controlled study of the long-term effects exercise training on mortality in elderly people - study protocol for the Generation 100-study. BMJ Open. 2015;12:5(2). doi: 10.1136/bmjopen-2014-007519. PMID: 25678546.
    1. Borg G, Linderholm H. Perceived exertion and pulse rate during graded exercise in various age groups. Acta Med Scand. 1967;181(S472):194–206. doi: 10.1111/j.0954-6820.1967.tb12626.x.
    1. Ingjer F. Factors influencing assessment of maximal heart rate. Scand J Med Sci Sports. 1991;1:134–40. doi: 10.1111/j.1600-0838.1991.tb00285.x.
    1. Miller NE, Strath SJ, Swartz AM, Cashin SE. Estimating absolute and relative physical activity intensity across age via accelerometry in adults. J Aging Phys Act. 2010;18(2):158–70.
    1. Lopes VP, Magalhaes P, Bragada J, Vasques C. Actigraph calibration in obese/overweight and type 2 diabetes mellitus middle-aged to old adult patients. J Phys Act Health. 2009;6(Suppl 1):S133–40.
    1. Ozemek C, Cochran HL, Strath SJ, Byun W, Kaminsky LA. Estimating relative intensity using individualized accelerometer cutpoints: the importance of fitness level. BMC Med Res Methodol. 2013;13:53. doi: 10.1186/1471-2288-13-53.
    1. Stevenson TG, Riggin K, Nagelkirk PR, Hargens TA, Strath SJ, Kaminsky LA. Physical activity habits of cardiac patients participating in an early outpatient rehabilitation program. J Cardiopulm Rehabil Prev. 2009;29(5):299–303. doi: 10.1097/HCR.0b013e3181b4ca61.
    1. Ades PA, Savage PD, Brawner CA, Lyon CE, Ehrman JK, Bunn JY, et al. Aerobic capacity in patients entering cardiac rehabilitation. Circulation. 2006;113(23):2706–12. doi: 10.1161/CIRCULATIONAHA.105.606624.
    1. Pruitt LA, Glynn NW, King AC, Guralnik JM, Aiken EK, Miller G, et al. Use of accelerometry to measure physical activity in older adults at risk for mobility disability. J Aging Phys Act. 2008;16(4):416–34.
    1. Hansen BH, Kolle E, Dyrstad SM, Holme I, Anderssen SA. Accelerometer-determined physical activity in adults and older people. Med Sci Sports Exerc. 2012;44(2):266–72. doi: 10.1249/MSS.0b013e31822cb354.

Source: PubMed

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