Impact of cutoff points on adolescent sedentary behavior measured by accelerometer

Autores/as

  • Rally Rayssa Dias Moura Study and Research Group in Epidemiology of Physical Activity, João Pessoa, Paraiba, Brazil. https://orcid.org/0000-0001-8210-2059
  • Arthur Oliveira Barbosa Study and Research Group in Epidemiology of Physical Activity, João Pessoa, Paraiba, Brazil. Associate Post-Graduation Program in Physical Education. João Pessoa, Paraiba, Brazil. https://orcid.org/0000-0002-5976-7287
  • Inácio Crochemore Mohnsam da Silva Federal University of Pelotas, Post-Graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil. Associate Post-Graduation Program in Physical Education, Pelotas, Rio Grande do Sul, Brazil. https://orcid.org/0000-0002-2030-5747
  • Marcelo Romanzini Londrina State University, Department of Physical Education, Londrina, Paraná, Brazil. 7Associate Post-Graduation Program in Physical Education UEM/UEL, Londrina, Paraná, Brazil. https://orcid.org/0000-0003-1355-331X
  • Alcides Prazeres Filho Study and Research Group in Epidemiology of Physical Activity, João Pessoa, Paraiba, Brazil. Associate Post-Graduation Program in Physical Education. João Pessoa, Paraiba, Brazil. https://orcid.org/0000-0003-2661-090X
  • José Cazuza de Farias Júnior Study and Research Group in Epidemiology of Physical Activity, João Pessoa, Paraiba, Brazil. Associate Post-Graduation Program in Physical Education. João Pessoa, Paraiba, Brazil. Federal University of Paraíba. Department of Physical Education. João Pessoa, Paraiba, Brazil. https://orcid.org/0000-0002-1082-6098

DOI:

https://doi.org/10.12820/rbafs.24e0071

Palabras clave:

Sedentary lifestyle, Accelerometry, Adolescent

Resumen

The aim of this study was to analyze the impact of cutoff points in defining sedentary behavior (SB) time and prevalence, measured by accelerometers in adolescents from Northeastern Brazil. This is a cross-sectional study with adolescents aged between 10 and 14 years from public schools in João Pessoa, Paraíba state, conducted in 2014. SB was measured by an accelerometer (ActiGraph GT3X+) and the following cutoff points were applied: Evenson (≤ 25 counts/15sec), Puyau (< 800 counts/60sec), Vanhelst (≤ 400 counts/60sec), Hänggi (< 3 counts/1sec) and Romanzini (≤ 180 counts/15sec), along with the 20 and 60-minute accelerometer nonwear time. To compare the average and prevalence of excessive SB time (≥ 8 hours/day) between cutoff points, one-way ANOVA for repeated measures (Bonferroni post hoc) and the Cochran test, respectively, were used. There were significant differences in average SB between the cutoff points analyzed (p > 0.05), ranging from 37.44 min/day (Romanzini: 547.37 min/day vs. Vanhelst: 584.81 min/day) to 370.44 min/day (Hänggi: 310.51 min/day vs. Puyau: 680.95 min/day) for the 20-minute nonwear criterion; and from 81.52 min/day (Evenson: 502.41 min/day vs. Romanzini: 583.93 min/day) to 361.94 min/day (Hänggi: 354.58 min/day vs. Puyau: 716.52 min/day) for the 60-minute criterion. The prevalence of excessive SB varied from 3.3% (Hänggi) to 99.3% (Puyau). Average daily SB and the prevalence of excessive SB in the adolescents showed marked differences between the cutoff points assessed.

Descargas

Los datos de descargas todavía no están disponibles.

Citas

Carson V, Hunter S, Kuzik N, Gray CE, Poitras VJ, Chaput J-P, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update. Appl Physiol Nutr Metab. 2016;41(6):S240-S65.

Olds TS, Maher CA, Ridley K, Kittel DM. Descriptive epidemiology of screen and non-screen sedentary time in adolescents: a cross sectional study. Int J Behav Nutr Phys Act. 2010;7(1):92.

Bauman AE, Petersen CB, Blond K, Rangul V, Hardy LL. The Descriptive Epidemiology of Sedentary Behaviour. In: Epidemiology SB, editor.: Springer International Publishing AG; 2018. p.73-106

Lubans DR, Hesketh K, Cliff D, Barnett L, Salmon J, Dollman J, et al. A systematic review of the validity and reliability of sedentary behaviour measures used with children and adolescents. Obes Rev. 2011;12(10):781-99.

Verloigne M, Lippevelde WV, Maes L, Yıldırım M, Chinapaw M, Manios Y, et al. Self-reported TV and computer time do not represent accelerometer-derived total sedentary time in 10 to 12-year-olds. Eur J Public Health. 2012;23(1):30-2.

Troiano RP, McClain JJ, Brychta RJ, Chen KY. Evolution of accelerometer methods for physical activity research. Br J Sports Med. 2014;0:1-5.

Welk G, Morrow J, Sain-Maurice P. Measures Registry User Guide: Individual Physical Activity. In: National Collaborative on Childhood Obesity Research (NCCOR). 2017:1-72.

Reilly JJ, Penpraze V, Hislop J, Davies G, Grant S, Paton JY. Objective measurement of physical activity and sedentary behaviour: review with new data. Arch Dis Child. 2008;93:614-9.

Sasaki J, Coutinho A, Santos C, Bertuol C, Minatto G, Berria J, et al. Orientações para utilização de acelerômetros no Brasil. Rev Bras Ativ Fís Saúde. 2017;22(2):110-26.

Migueles JH, Cadenas-Sanchez C, Ekelund U, Nyström CD, Mora-Gonzalez J, Löf M, et al. Accelerometer data collection and processing criteria to assess physical activity and other outcomes: a systematic review and practical considerations. Sports Med. 2017;47(9):1821-45.

Chau JY, Grunseit AC, Chey T, Stamatakis E, Brown WJ, Matthews CE, et al. Daily sitting time and all-cause mortality: a meta-analysis. PLoS One. 2013;8(11):e80000.

Ojiambo R, Cuthill R, Budd H, Konstabel K, Casajús JA, González-Agüero A, et al. Impact of methodological decisions on accelerometer outcome variables in young children. Int J Obes. 2011;35:S98-S103.

Banda JA, Haydel KF, Davila T, Desai M, Bryson S, Haskell WL, et al. Effects of varying epoch lengths, wear time algorithms, and activity cut-points on estimates of child sedentary behavior and physical activity from accelerometer data. PLoS One. 2016;11(3):e0150534.

Janssen X, Mann KD, Basterfield L, Parkinson KN, Pearce MS, Reilly JK, et al. Development of sedentary behavior across childhood and adolescence: longitudinal analysis of the Gateshead Millennium Study. Int J Behav Nutr Phys Act. 2016;13(1):88.

Kim Y, Lee J-M, Peters BP, Gaesser GA, Welk GJ. Examination of different accelerometer cut-points for assessing sedentary behaviors in children. PLoS One. 2014;9(4):e90630.

ABEP - Associação Brasileira de Empresas de Pesquisa. Critério de classificação econômica Brasil - [database on the Internet] 2014 [cited 2018 out 05]. Available from: http://www.abep.org

World Health Organization. Multicentre Growth Reference Study Group. WHO Child Growth Standards: Length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: Methods and development. Geneva:. World Health Organization; 2006.

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(14):1557-65.

Puyau MR, Adolph AL, Vohra FA, Butte NF. Validation and calibration of physical activity monitors in children. Obes Res. 2002;10(3):150-7.

Vanhelst J, Béghin L, Turck D, Gottrand F. New validated thresholds for various intensities of physical activity in adolescents using the Actigraph accelerometer. Int J Rehabil Res. 2011;34(2):175-7.

Hänggi JM, Phillips LR, Rowlands AV. Validation of the GT3X ActiGraph in children and comparison with the GT1M ActiGraph. J Sci Med Sport. 2013;16(1):40-4.

Romanzini M, Petroski EL, Ohara D, Dourado AC, Reichert FF. Calibration of ActiGraph GT3X, Actical and RT3 accelerometers in adolescents. European journal of sport science. 2014;14(1):91-9.

Harrell JS, McMurray RG, Baggett CD, Pennell ML, Pearce PF, Bangdiwala SI. Energy costs of physical activities in children and adolescents. Med Sci Sports Exerc. 2005;37(2):329-36.

Cain KL, Bonilla E, Conway TL, Schipperijn J, Geremia CM, Mignano A, et al. Defining accelerometer nonwear time to maximize detection of sedentary time in youth. Pediatr Exerc Sci. 2018;30(2):288-95.

Descargas

Publicado

2019-08-23

Cómo citar

1.
Moura RRD, Barbosa AO, Silva ICM da, Romanzini M, Prazeres Filho A, Farias Júnior JC de. Impact of cutoff points on adolescent sedentary behavior measured by accelerometer. Rev. Bras. Ativ. Fís. Saúde [Internet]. 23 de agosto de 2019 [citado 3 de julio de 2024];24:1-7. Disponible en: https://rbafs.org.br/RBAFS/article/view/13999

Número

Vol. 24 (2019)

Sección

Artículo original

Licencia

Derechos de autor 2019 Brazilian Journal of Physical Activity & Health

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

Al enviar un manuscrito a la Revista Brasileira de Atividade Física & Saúde, los autores mantienen la titularidad de los derechos de autor sobre el artículo y autorizan a la Revista Brasileira de Atividade Física & Saúde a publicar este manuscrito bajo la Licencia Creative Commons Atribución 4.0 e identificarla como el vehículo de su publicación original.