Correlates of compliance with hip-worn accelerometer protocol in adolescents

Autores/as

DOI:

https://doi.org/10.12820/rbafs.24e0086

Palabras clave:

Accelerometry, Motor activity, Cross-sectional study, Adolescents

Resumen

Accelerometers are widely used to measure physical activity and sedentary behaviour amongst youth, and research participants have to wear the accelerometer for enough time to provide valid estimates of their habitual behaviour. This study aimed to identify correlates of accelerometer wear time in a sample (n = 142) of Brazilian adolescents of the 7th to the 9th grade. Students of two middle schools of Florianopolis were invited to participate. The participants answered a questionnaire, wore an accelerometer on the right hip for 10-12 days, and had their height and weight measured. The association of gender, age, socioeconomic position, mother education, conicity index, and self-reported physical activity with accelerometer wear time (minutes), number of days with ≥ 10h of valid accelerometer data, and compliance with validation criteria (≥ 4 days with ≥ 10h of wear time, including a weekend day) were tested. Accelerometer wear time in minutes was lower in boys than girls (-1014.14, 95%CI: -1822.91; -205.37). Boys also had less valid days compared to girls (Incidence Risk Ratio = 0.70; 95%CI: 0.52; 0.94) and were less likely to comply with validation criteria (Odds Ratio = 0.29; 95%CI: 0.12; 0.68). Higher mother education was associated with increased odds of meeting validation criteria. Factors associated with compliance with accelerometer protocol were sex and mother education. Thus, analyzes should consider the difference in representation of such groups.

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Biografía del autor/a

Bruno Gonçalves Galdino da Costa, Universidade Federal de Santa Catarina, Centro de Desportos, Florianópolis, Santa Catarina, Brazil.

Licenciado em Educação Física Pela Universidade Federal de Santa Catarina, membro do Núcleo de Pesquisa em Atividade Física e Saúde e atualmente (2014) professor de educação física na Prefeitura Municipal de Florianópolis. Tenho interesse em pesquisas sobre os benefícios da atividade física na saúde nas diferentes populações e programas de incentinvo à prática de exercícios.

Citas

Strath SJ, Kaminsky LA, Ainsworth BE, Ekelund U, Freedson PS, Gary RA, et al. Guide to the assessment of physical activity: Clinical and research applications: a scientific statement from the American Heart Association. Circulation. 2013;128(20):2259–79.

Troiano RP, Berrigan D, Dodd KW, Mâsse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40(1):181-88.

Ward DS, Evenson KR, Vaughn A, Rodgers AB, Troiano RP. Accelerometer use in physical activity: best practices and research recommendations. Med Sci Sports Exerc. 2005;37(11 Suppl):S582-88.

Mathie MJ, Coster ACF, Lovell NH, Celler BG. Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physiol Meas. 2004;25(2):R1-20.

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(3):437–50.

Choi L, Ward SC, Schnelle JF, Buchowski MS. Assessment of wear/nonwear time classification algorithms for triaxial accelerometer. Med Sci Sports Exerc. 2012;44(10): 2009–16.

Migueles JH, Cadenas-Sanchez C, Ekelund U, Delisle Nyström C, 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.

Troiano RP, McClain JJ, Brychta RJ, Chen KY. Evolution of accelerometer methods for physical activity research. Br J Sports Med. 2014;48(13):1019–23.

Keadle SK, Shiroma EJ, Freedson PS, Lee I-M. Impact of accelerometer data processing decisions on the sample size, wear time and physical activity level of a large cohort study. BMC Public Health. 2014;14:1210.

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.

Tudor-Locke C, Mire EF, Dentro KN, Barreira TV, Schuna JM, Zhao P, et al. A model for presenting accelerometer paradata in large studies: ISCOLE. Int J Behav Nutr Phys Act. 2015;12:52.

Montoye AHK, Moore RW, Bowles HR, Korycinski R, Pfeiffer KA. Reporting accelerometer methods in physical activity intervention studies: a systematic review and recommendations for authors. Br J Sports Med. 2018;52(23):1507-16.

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(3):584–90.

Buchan DS, McLellan G. Comparing physical activity estimates in children from hip-worn Actigraph GT3X+ accelerometers using raw and counts based processing methods. J Sports Sci. 2019;37(7):779-87.

Toftager M, Kristensen PL, Oliver M, Duncan S, Christiansen LB, Boyle E, et al. Accelerometer data reduction in adolescents: effects on sample retention and bias. Int J Behav Nutr Phys Act. 2013;10:140.

Mattocks C, Ness A, Leary S, Tilling K, Blair SN, Shield J, et al. Use of accelerometers in a large field-based study of children: protocols, design issues, and effects on precision. J Phys Act Health. 2008;5 Suppl 1:S98-111.

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

Associação Brasileira de Empresas de Pesquisa. Critério de classificação econômica Brasil. ABEP; 2013. [citado em 2019 nov 11]. Disponível em: http://www.abep.org/criterio-brasil.

Taylor RW, Jones IE, Williams SM, Goulding A. Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3-19 y. Am J Clin Nutr. 2000;72(2):490–95.

Júnior F, De JC, Lopes A da S, Mota J, Santos MP, Ribeiro JC, et al. Validity and reproducibility of a physical activity questionnaire for adolescents: adapting the Self-Administered Physical Activity Checklist. Rev Bras Epidemiol. 2012;15(1):198–210.

World Health Organization. Global recommendations on physical activity and health. Geneva: WHO; 2010. [citado em 2019 nov 11]. Disponível em: https://apps.who.int/iris/handle/10665/44399.

Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJ, Martin BW. Correlates of physical activity: why are some people physically active and others not? Lancet. 2012;380(9838):258–71.

Matthews CE, Hagströmer M, Pober DM, Bowles HR. Best practices for using physical activity monitors in population-based research. Med Sci Sports Exerc. 2012;44(1 Suppl 1):S68-76.

Guinhouya BC, 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(4):301–11.

Ruiz JR, Ortega FB, Martínez-Gómez D, Labayen I, Moreno LA, De Bourdeaudhuij I, et al. Objectively measured physical activity and sedentary time in European adolescents: the HELENA study. Am J Epidemiol. 2011;174(2):173–84.

Scott JJ, Rowlands AV, Cliff DP, Morgan PJ, Plotnikoff RC, Lubans DR. Comparability and feasibility of wrist- and hip-worn accelerometers in free-living adolescents. J Sci Med Sport. 2017;20(12):1101–06.

Matthews CE, Keadle SK, Troiano RP, Kahle L, Koster A, Brychta R, et al. Accelerometer-measured dose-response for physical activity, sedentary time, and mortality in US adults. Am J Clin Nutr. 2016;104(5):1424-32.

Catellier DJ, Hannan PJ, Murray DM, Addy CL, Conway TL, Yang S, et al. Imputation of missing data when measuring physical activity by accelerometry. Med Sci Sports Exerc. 2005;37(11 Suppl):S555-62.

Borgundvaag E, McIsaac M, Borghese MM, Janssen I. Imputing Accelerometer Nonwear Time When Assessing Moderate to Vigorous Physical Activity in Children. J Phys Act Health. 2017;14(11):852–60.

Silva IC, van Hees VT, Ramires VV, Knuth AG, Bielemann RM, Ekelund U, et al. Physical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometry. Int J Epidemiol. 2014;43(6):1959–68.

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Publicado

2019-12-13

Cómo citar

1.
Costa BGG da, Lopes MVV, Malheiros LEA, Sasaki JE, Silva KS da. Correlates of compliance with hip-worn accelerometer protocol in adolescents . Rev. Bras. Ativ. Fís. Saúde [Internet]. 13 de diciembre de 2019 [citado 3 de julio de 2024];24:1-8. Disponible en: https://rbafs.org.br/RBAFS/article/view/14027

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