Effect of Accelerometer Cut-Off Points on the Recommended Level of Physical Activity for Obesity Prevention in Children

. 2016 ; 11 (10) : e0164282. [epub] 20161010

Jazyk angličtina Země Spojené státy americké Médium electronic-ecollection

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid27723835

There is no general consensus regarding which accelerometer cut-off point (CoP) is most acceptable to estimate the time spent in moderate-to-vigorous physical activity (MVPA) in children and choice of an appropriate CoP primarily remains a subjective decision. Therefore, this study aimed to analyze the influence of CoP selection on the mean MVPA and to define the optimal thresholds of MVPA derived from different accelerometer CoPs to avoid overweight/obesity and adiposity in children aged 7 to 12 years. Three hundred six children participated. Physical activity (PA) was monitored for seven consecutive days using an ActiGraph accelerometer (model GT3X) and the intensity of PA was estimated using the five most frequently published CoPs. Body adiposity was assessed using a multi-frequency bioelectrical impedance analysis. There was found a wide range of mean levels of MVPA that ranged from 27 (Puyau CoP) to 231 min∙d-1 (Freedson 2005 CoP). A receiver operating characteristic curve analysis indicated that the optimal thresholds for counts per minute (cpm) and MVPA derived from the Puyau CoP was the most useful in classifying children according to their body mass index (BMI) and fat mass percentage (FM%). In the total sample, the optimal thresholds of the MVPA derived from the Puyau CoP were 22 and 23 min∙d-1 when the categories based on BMI and FM%, respectively, were used. The children who did not meet these optimal thresholds had a significantly increased risk of being overweight/obese (OR = 2.88, P < 0.01) and risk of having excess fat mass (OR = 2.41, P < 0.01). In conclusion, the decision of selecting among various CoPs significantly influences the optimal levels of MVPA. The Puyau CoP of 3 200 cmp seems to be the most useful for defining the optimal level of PA for pediatric obesity prevention.

Zobrazit více v PubMed

Department of Health and Ageing. Australia’s Physical Activity Recommendations for 5–12 year olds [brochure]. Canberra. 2004. Available: http://www.health.gov.au/internet/main/publishing.nsf/content/health-pubhlth-strateg-phys-act-guidelines.

World Health Organization. Global recommendations on physical activity for health [brochure]. Geneva. 2010. Available: http://www.who.int/dietphysicalactivity/factsheet_recommendations/en/. PubMed

Kahlmeier S, Wijnhoven TM, Alpiger P, Schweizer C, Breda J, Martin BW. National physical activity recommendations: systematic overview and analysis of the situation in European countries. BMC Public Health. 2015;15: 133 10.1186/s12889-015-1412-3 PubMed DOI PMC

U. S. Department of Health and Human Services. 2008 Physical activity guidelines for Americans be active, healthy, and happy! [brochure]. Washington, D.C. 2008. Available: http://health.gov/paguidelines/guidelines/.

Janssen I, Leblanc AG. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int J Behav Nutr Phys Act. 2010;7: 40 10.1186/1479-5868-7-40 PubMed DOI PMC

Laguna M, Ruiz JR, Lara MT, Aznar S. Recommended levels of physical activity to avoid adiposity in Spanish children. Pediatr Obes. 2013;8: 62–69. 10.1111/j.2047-6310.2012.00086.x PubMed DOI

Sigmund E, Sigmundova D, Badura P, Kalman M, Hamrik Z, Pavelka J. Temporal Trends in Overweight and Obesity, Physical Activity and Screen Time among Czech Adolescents from 2002 to 2014: A National Health Behaviour in School-Aged Children Study. Int J Environ Res Public Health. 2015;12: 11848–11868. 10.3390/ijerph120911848 PubMed DOI PMC

Sirard JR, Pate RR. Physical activity assessment in children and adolescents. Sports Med. 2001;31: 439–454. 10.2165/00007256-200131060-00004 PubMed DOI

Bassett DR, Troiano RP, McClain JJ, Wolff DL. Accelerometer-based Physical Activity: Total Volume per Day and Standardized Measures. Med Sci Sports Exerc. 2015;47: 833–838. 10.1249/mss.0000000000000468 PubMed DOI

Cain KL, Conway TL, Adams MA, Husak LE, Sallis JF. Comparison of older and newer generations of ActiGraph accelerometers with the normal filter and the low frequency extension. Int J Behav Nutr Phys Act. 2013;10: 10.1186/1479-5868-10-51 PubMed DOI PMC

Trost SG, Ward DS, Moorehead SM, Watson PD, Riner W, Burke JR. Validity of the computer science and applications (CSA) activity monitor in children. Med Sci Sports Exerc. 1998;30: 629–633. 10.1097/00005768-199804000-00023 PubMed DOI

Ekelund U, Sjostrom M, Yngve A, Poortvliet E, Nilsson A, Froberg K, et al. Physical activity assessed by activity monitor and doubly labeled water in children. Med Sci Sports Exerc. 2001;33: 275–281. 10.1097/00005768-200102000-00017 PubMed DOI

Cain KL, Sallis JF, Conway TL, Van Dyck D, Calhoon L. Using Accelerometers in Youth Physical Activity Studies: A Review of Methods. J Phys Act Health. 2013;10: 437–450. 10.1123/jpah.10.3.437 PubMed DOI PMC

Kim Y, Beets MW, Welk GJ. Everything you wanted to know about selecting the “right” Actigraph accelerometer cut-points for youth, but…: A systematic review. J Sci Med Sport. 2012;15: 311–321. 10.1016/j.jsams.2011.12.001 PubMed DOI

Guinhouya CB, Hubert H, Soubrier S, Vilhelm C, Lemdani M, Durocher A. Moderate-to-Vigorous Physical Activity among Children: Discrepancies in Accelerometry-Based Cut-off Points. Obesity. 2006;14: 774–777. 10.1038/oby.2006.89 PubMed DOI

Loprinzi PD, Lee H, Cardinal BJ, Crespo CJ, Andersen RE, Smit E. The Relationship of Actigraph Accelerometer Cut-Points for Estimating Physical Activity With Selected Health Outcomes. Res Q Exerc Sport. 2012;83: 422–430. 10.1080/02701367.2012.10599877 PubMed DOI

Beets MW, Bornstein D, Dowda M, Pate RR. Compliance With National Guidelines for Physical Activity in U.S. Preschoolers: Measurement and Interpretation. Pediatrics. 2011;127: 658–664. 10.1542/peds.2010-2021 PubMed DOI PMC

Bornstein DB, Beets MW, Byun W, Welk G, Bottai M, Dowda M, et al. Equating accelerometer estimates of moderate-to-vigorous physical activity: in search of the Rosetta Stone. J Sci Med Sport. 2011;14: 404–410. 10.1016/j.jsams.2011.03.013 PubMed DOI PMC

Brazendale K, Beets MW, Bornstein DB, Moore JB, Pate RR, Weaver RG, et al. Equating accelerometer estimates among youth: The Rosetta Stone 2. J Sci Med Sport. 2016;19: 242–249. 10.1016/j.jsams.2015.02.006 PubMed DOI PMC

Jiménez-Pavón D, Kelly J, Reilly JJ. Associations between objectively measured habitual physical activity and adiposity in children and adolescents: Systematic review. Int J Pediatr Obes. 2010;5: 3–18. 10.3109/17477160903067601 PubMed DOI

Guinhouya CB, Apété GK, Hubert H. Diagnostic quality of Actigraph-based physical activity cut-offs for children: What overweight/obesity references can tell? Pediatr Int. 2009;51: 568–573. 10.1111/j.1442-200X.2008.02801.x PubMed DOI

de Vries SI, Bakker I, Hopman-Rock M, Hirasing RA, van Mechelen W. Clinimetric review of motion sensors in children and adolescents. J Clin Epidemiol. 2006;59: 670–680. 10.1016/j.jclinepi.2005.11.020 PubMed DOI

Freedson P, Pober D, Janz KF. Calibration of accelerometer output for children. Med Sci Sports Exerc. 2005;37: S523–530. 10.1249/01.mss.0000185658.28284.ba PubMed DOI

Freedson P, Sirard J, Debold E, Pate R, Dowda M, Trost S, et al. Calibration of the Computer Science and Applications, Inc. (CSA) Accelerometer 256. Med Sci Sports Exerc. 1997;29: S45 10.1097/00005768-199705001-00256 PubMed DOI

Ekelund U, Sardinha LB, Anderssen SA, Harro M, Franks PW, Brage S, et al. Associations between objectively assessed physical activity and indicators of body fatness in 9- to 10-y-old European children: a population-based study from 4 distinct regions in Europe (the European Youth Heart Study). Am J Clin Nutr. 2004;80: 584–590. PubMed

Brage S, Wedderkopp N, Andersen LB, Froberg K. Influence of step frequency on movement intensity predictions with the CSA accelerometer: A field validation study in children. Pediatr Exerc Sci. 2003;15: 277–287. 10.1123/pes.15.3.277 DOI

Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci. 2008;26: 1557–1565. 10.1080/02640410802334196 PubMed DOI

Puyau MR, Adolph AL, Vohra FA, Butte NF. Validation and calibration of physical activity monitors in children. Obes Res. 2002;10: 150–157. 10.1038/oby.2002.24 PubMed DOI

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: 181–188. 10.1249/mss.0b013e31815a51b3 PubMed DOI

Trost SG, Pate RR, Freedson PS, Sallis JF, Taylor WC. Using objective physical activity measures with youth: how many days of monitoring are needed? Med Sci Sports Exerc. 2000;32: 426–431. 10.1097/00005768-200002000-00025 PubMed DOI

Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320: 1240–1243. 10.1136/bmj.320.7244.1240 PubMed DOI PMC

Lim JS, Hwang JS, Lee JA, Kim DH, Park KD, Jeong JS, et al. Cross-calibration of multi-frequency bioelectrical impedance analysis with eight-point tactile electrodes and dual-energy X-ray absorptiometry for assessment of body composition in healthy children aged 6–18 years. Pediatr Int. 2009;51: 263–268. 10.1111/j.1442-200X.2008.02698.x PubMed DOI

Akobeng AK. Understanding diagnostic tests 3: receiver operating characteristic curves. Acta Pædiatrica. 2007;96: 644–647. 10.1111/j.1651-2227.2006.00178.x PubMed DOI

Berk RA. Determination of Optional Cutting Scores in Criterion-Referenced Measurement. The Journal of Experimental Education. 1976;45: 4–9. 10.1080/00220973.1976.11011567 DOI

Trost SG, Loprinzi PD, Moore R, Pfeiffer KA. Comparison of Accelerometer Cut-points for Predicting Activity Intensity in Youth. Med Sci Sports Exerc. 2011;43: 1360–1368. 10.1249/MSS.0b013e318206476e PubMed DOI

Guinhouya CB, Samouda H, de Beaufort C. Level of physical activity among children and adolescents in Europe: a review of physical activity assessed objectively by accelerometry. Public Health. 2013;127: 301–311. 10.1016/j.puhe.2013.01.020 PubMed DOI

Javed A, Jumean M, Murad MH, Okorodudu D, Kumar S, Somers VK, et al. Diagnostic performance of body mass index to identify obesity as defined by body adiposity in children and adolescents: a systematic review and meta-analysis. Pediatr Obes. 2015;10: 234–244. 10.1111/ijpo.242 PubMed DOI

Rowlands AV, Eston RG, Powell SM. Total physical activity, activity intensity and body fat in 8-11-year-old boys and girls. J Exerc Sci Fit. 2006;4: 96–102.

Ness AR, Leary SD, Mattocks C, Blair SN, Reilly JJ, Wells J, et al. Objectively Measured Physical Activity and Fat Mass in a Large Cohort of Children. PLoS Med. 2007;4: e97 10.1371/journal.pmed.0040097 PubMed DOI PMC

Jensky-Squires NE, Dieli-Conwright CM, Rossuello A, Erceg DN, McCauley S, Schroeder ET. Validity and reliability of body composition analysers in children and adults. Br J Nutr. 2008;100: 859–865. 10.1017/S0007114508925460 PubMed DOI

Mellor JM, Rapoport RB, Maliniak D. The Impact of Child Obesity on Active Parental Consent in School-Based Survey Research on Healthy Eating and Physical Activity. Eval Rev. 2008;32: 298–312. 10.1177/0193841x07312682 PubMed DOI

Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384: 766–781. 10.1016/S0140-6736(14)60460-8 PubMed DOI PMC

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...