Correlates of device-measured physical activity, sedentary behaviour and sleeping in children aged 9-11 years from Chile: ESPACIOS study (Factores asociados con actividad física, conducta sedentaria y sueño medidos con acelerómetros en niños de 9-11 años

  • Nicolas Aguilar-Farias Universidad de La Frontera https://orcid.org/0000-0002-6974-1312
  • Pia Martino-Fuentealba Universidad de La Frontera
  • Damian Chandia-Poblete Universidad de La Frontera

Resumen

Abstract. Background: Little is known about of correlates of physical activity (PA), sedentary behaviour (SB), and sleeping in children from Latin America. The aim of this study was to assess the association between potential correlates with device-measured PA, SB and sleeping time in children from 9 to 11 years in Carahue, Chile. Methods: A cross-sectional study was conducted to assess correlates of physical behaviours (demographic, psychological, behavioural, home and school environment factors) from data reported by participants and caregivers. Each participant wore an ActiGraph GT3X+ accelerometer on the hip during seven consecutive days to measure PA, SB and sleeping time. Results: In total, 148 participants completed the study (47.3% male, 10.0±0.8 years). SB was positively associated with age, being female, family income, total screen time and distance to places, and negatively with higher scores of parent support for PA. Light PA was associated with age, family income, total screen time (all negative), and parent support for PA (positive). Moderate PA was associated with being male, self-efficacy and established healthy lifestyle committee at school. Vigorous PA was associated with being male, self-efficacy (both positive) and BMI z-score (negatively). Sleeping time was associated with age, portable videogame ownership (both negative) and PE minutes/week (positive).Conclusion: Variables from different levels explained each behaviour, reinforcing the need for multilevel strategies for promoting and helping to ensure healthier lifestyles in children.


Resumen. Antecedentes: se sabe poco sobre los correlatos de la actividad física (PA), el comportamiento sedentario (SB) y el sueño en niños de América Latina. El objetivo de este estudio fue evaluar la asociación entre los posibles correlatos con la PA, la SB y el tiempo de sueño medidos por el dispositivo en niños de 9 a 11 años en Carahue, Chile. Métodos: se realizó un estudio transversal para evaluar los correlatos de los comportamientos físicos (factores demográficos, psicológicos, de comportamiento, del entorno escolar y del hogar) a partir de los datos informados por los participantes y los cuidadores. Cada participante usó un acelerómetro ActiGraph GT3X + en la cadera durante siete días consecutivos para medir la PA, SB y el tiempo de sueño. Resultados: En total, 148 participantes completaron el estudio (47.3% hombres, 10.0 ± 0.8 años). SB se asoció positivamente con la edad, el hecho de ser mujer, el ingreso familiar, el tiempo total de la pantalla y la distancia a los lugares, y negativamente con puntuaciones más altas de apoyo de los padres para PA. La PA leve se asoció con la edad, el ingreso familiar, el tiempo total de la pantalla (todo negativo) y el apoyo de los padres para la PA (positivo). La PA moderada se asoció con ser hombre, autoeficacia y un comité de estilo de vida saludable establecido en la escuela. La PA vigorosa se asoció con ser hombre, autoeficacia (ambos positivos) y puntaje BMI (negativo). El tiempo de sueño se asoció con la edad, la propiedad de los videojuegos portátiles (ambos negativos) y los minutos / semana de PE (positivo) .Conclusión: las variables de diferentes niveles explicaron cada comportamiento, lo que refuerza la necesidad de estrategias multinivel para promover y ayudar a garantizar estilos de vida más saludables en los niños.

Citas

Aadland, E., Andersen, L. B., Anderssen, S. A., & Resaland, G. K. (2018). A comparison of 10 accelerometer non-wear time criteria and logbooks in children. BMC Public Health, 18(1), 323. doi:10.1186/s12889-018-5212-4

Aguilar-Farias, N., Cortinez-O'Ryan, A., Sadarangani, K. P., Von Oetinger, A., Leppe, J., Valladares, M., . . . Cristi-Montero, C. (2016). Results From Chile's 2016 Report Card on Physical Activity for Children and Youth. J Phys Act Health, 13(11 Suppl 2), S117-S123. doi:10.1123/jpah.2016-0314

Aguilar-Farias, N., Martino-Fuentealba, P., Carcamo-Oyarzun, J., Cortinez-O'Ryan, A., Cristi-Montero, C., Von Oetinger, A., & Sadarangani, K. P. (2018). A regional vision of physical activity, sedentary behaviour and physical education in adolescents from Latin America and the Caribbean: results from 26 countries. Int J Epidemiol, 47(3), 976-986. doi:10.1093/ije/dyy033

Aguilar-Farias, N., Miranda-Marquez, S., Sadarangani, K. P., Martino-Fuentealba, P., Cristi-Montero, C., Carcamo-Oyarzun, J., . . . Cortinez-O'Ryan, A. (2018). Results from Chile's 2018 Report Card on Physical Activity for Children and Youth. J Phys Act Health, 15(S2), S331-S332. doi:10.1123/jpah.2018-0553

Atkin, A. J., van Sluijs, E. M. F., Dollman, J., Taylor, W. C., & Stanley, R. M. (2016). Identifying correlates and determinants of physical activity in youth: How can we advance the field? Prev Med, 87, 167-169. doi:10.1016/j.ypmed.2016.02.040

Aubert, S., Barnes, J. D., Aguilar-Farias, N., Cardon, G., Chang, C. K., Delisle Nystrom, C., . . . Tremblay, M. S. (2018). Report Card Grades on the Physical Activity of Children and Youth Comparing 30 Very High Human Development Index Countries. J Phys Act Health, 15(S2), S298-S314. doi:10.1123/jpah.2018-0431

Baena, A. C. M., Vega, D. M., & Ramírez, J. V. (2018). Factores predictores de la actividad física en escolares españoles de acuerdo a su estado de peso. Retos: nuevas tendencias en educación física, deporte y recreación(33), 74-80.

Barreira, T. V., Schuna, J. M., Jr., Mire, E. F., Katzmarzyk, P. T., Chaput, J. P., Leduc, G., & Tudor-Locke, C. (2015). Identifying children's nocturnal sleep using 24-h waist accelerometry. Med Sci Sports Exerc, 47(5), 937-943. doi:10.1249/MSS.0000000000000486

Bringolf-Isler, B., de Hoogh, K., Schindler, C., Kayser, B., Suggs, L. S., Dossegger, A., . . . Group, S. S. (2018). Sedentary Behaviour in Swiss Children and Adolescents: Disentangling Associations with the Perceived and Objectively Measured Environment. Int J Environ Res Public Health, 15(5). doi:10.3390/ijerph15050918

Carson, V., Tremblay, M. S., Spence, J. C., Timmons, B. W., & Janssen, I. (2013). The Canadian Sedentary Behaviour Guidelines for the Early Years (zero to four years of age) and screen time among children from Kingston, Ontario. Paediatr Child Health, 18(1), 25-28.

Chaput, J. P., Gray, C. E., Poitras, V. J., Carson, V., Gruber, R., Olds, T., . . . Tremblay, M. S. (2016). Systematic review of the relationships between sleep duration and health indicators in school-aged children and youth. Appl Physiol Nutr Metab, 41(6 Suppl 3), S266-282. doi:10.1139/apnm-2015-0627

Chaput, J. P., Katzmarzyk, P. T., LeBlanc, A. G., Tremblay, M. S., Barreira, T. V., Broyles, S. T., . . . Group, I. R. (2015). Associations between sleep patterns and lifestyle behaviors in children: an international comparison. Int J Obes Suppl, 5(Suppl 2), S59-65. doi:10.1038/ijosup.2015.21

de Onis, M., Onyango, A. W., Borghi, E., Siyam, A., Nishida, C., & Siekmann, J. (2007). Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ, 85(9), 660-667.

Dean, A. G., Sullivan, K. M., & Soe, M. M. (2013, 06-04-2013). OpenEpi: Open Source Epidemiologic Statistics for Public Health. 3.01. Retrieved from https://www.openepi.com

Evenson, K. R., Catellier, D. J., Gill, K., Ondrak, K. S., & McMurray, R. G. (2008). Calibration of two objective measures of physical activity for children. J Sports Sci, 26(14), 1557-1565. doi:10.1080/02640410802334196

Forthofer, M., Dowda, M., O'Neill, J. R., Addy, C. L., McDonald, S., Reid, L., & Pate, R. R. (2017). Effect of Child Gender and Psychosocial Factors on Physical Activity From Fifth to Sixth Grade. J Phys Act Health, 14(12), 953-958. doi:10.1123/jpah.2016-0487

Frank, L. D., Saelens, B. E., Chapman, J., Sallis, J. F., Kerr, J., Glanz, K., . . . Cain, K. L. (2012). Objective assessment of obesogenic environments in youth: geographic information system methods and spatial findings from the Neighborhood Impact on Kids study. Am J Prev Med, 42(5), e47-55. doi:10.1016/j.amepre.2012.02.006

Hale, L., & Guan, S. (2015). Screen time and sleep among school-aged children and adolescents: a systematic literature review. Sleep medicine reviews, 21, 50-58.

Herman, K. M., Sabiston, C. M., Mathieu, M. E., Tremblay, A., & Paradis, G. (2015). Correlates of sedentary behaviour in 8- to 10-year-old children at elevated risk for obesity. Appl Physiol Nutr Metab, 40(1), 10-19. doi:10.1139/apnm-2014-0039

Jago, R., Salway, R., Lawlor, D. A., Emm-Collison, L., Heron, J., Thompson, J. L., & Sebire, S. J. (2018). Profiles of children's physical activity and sedentary behaviour between age 6 and 9: a latent profile and transition analysis. Int J Behav Nutr Phys Act, 15(1), 103. doi:10.1186/s12966-018-0735-8

Katzmarzyk, P. T., Barreira, T. V., Broyles, S. T., Champagne, C. M., Chaput, J. P., Fogelholm, M., . . . Church, T. S. (2013). The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): design and methods. BMC Public Health, 13, 900. doi:10.1186/1471-2458-13-900

Kavanaugh, K., Moore, J. B., Hibbett, L. J., & Kaczynski, A. T. (2015). Correlates of subjectively and objectively measured physical activity in young adolescents. Journal of Sport and Health Science, 4(3), 222-227. doi:https://doi.org/10.1016/j.jshs.2014.03.015

King, A. C., Parkinson, K. N., Adamson, A. J., Murray, L., Besson, H., Reilly, J. J., . . . Gateshead Millennium Study Core, T. (2011). Correlates of objectively measured physical activity and sedentary behaviour in English children. Eur J Public Health, 21(4), 424-431. doi:10.1093/eurpub/ckq104

Kline, P. (2013). Handbook of Psychological Testing: Taylor & Francis.

Kokko, S., Martin, L., Geidne, S., Van Hoye, A., Lane, A., Meganck, J., . . . Koski, P. (2018). Does sports club participation contribute to physical activity among children and adolescents? A comparison across six European countries. Scand J Public Health, 1403494818786110. doi:10.1177/1403494818786110

Li, Y. C., Joshi, D., King-Dowling, S., Hay, J., Faught, B. E., & Cairney, J. (2018). The longitudinal relationship between generalized self-efficacy and physical activity in school-aged children. European journal of sport science, 18(4), 569-578. doi:10.1080/17461391.2018.1430852

Motl, R. W., Dishman, R. K., Trost, S. G., Saunders, R. P., Dowda, M., Felton, G., . . . Pate, R. R. (2000). Factorial validity and invariance of questionnaires measuring social-cognitive determinants of physical activity among adolescent girls. Prev Med, 31(5), 584-594.

Mullan, E., Markland, D., & Ingledew, D. K. (1997). A graded conceptualisation of self-determination in the regulation of exercise behaviour: Development of a measure using confirmatory factor analytic procedures. Personality and Individual Differences, 23(5), 745-752.

Okely, A. D., Ghersi, D., Hesketh, K. D., Santos, R., Loughran, S. P., Cliff, D. P., . . . Tremblay, M. S. (2017). A collaborative approach to adopting/adapting guidelines - The Australian 24-Hour Movement Guidelines for the early years (Birth to 5 years): an integration of physical activity, sedentary behavior, and sleep. BMC Public Health, 17(Suppl 5), 869. doi:10.1186/s12889-017-4867-6

Ortega, F. Z., Jiménez, J. L. U., Molero, P. P., Valero, G. G., Sánchez, M. C., & Cuberos, R. C. (2018). Niveles de actividad física en alumnado de Educación Primaria de la provincia de Granada. Retos: nuevas tendencias en educación física, deporte y recreación(34), 218-221.

Poitras, V. J., Gray, C. E., Borghese, M. M., Carson, V., Chaput, J. P., Janssen, I., . . . Tremblay, M. S. (2016). Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth. Appl Physiol Nutr Metab, 41(6 Suppl 3), S197-239. doi:10.1139/apnm-2015-0663

Ravens-Sieberer, U., Erhart, M., Rajmil, L., Herdman, M., Auquier, P., Bruil, J., . . . European, K. G. (2010). Reliability, construct and criterion validity of the KIDSCREEN-10 score: a short measure for children and adolescents' well-being and health-related quality of life. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 19(10), 1487-1500. doi:10.1007/s11136-010-9706-5

Rosenberg, D., Ding, D., Sallis, J. F., Kerr, J., Norman, G. J., Durant, N., . . . Saelens, B. E. (2009). Neighborhood Environment Walkability Scale for Youth (NEWS-Y): reliability and relationship with physical activity. Prev Med, 49(2-3), 213-218. doi:10.1016/j.ypmed.2009.07.011

Saelens, B. E., Sallis, J. F., Frank, L. D., Couch, S. C., Zhou, C., Colburn, T., . . . Glanz, K. (2012). Obesogenic neighborhood environments, child and parent obesity: the Neighborhood Impact on Kids study. Am J Prev Med, 42(5), e57-64. doi:10.1016/j.amepre.2012.02.008

Sallis, J. F., Cervero, R. B., Ascher, W., Henderson, K. A., Kraft, M. K., & Kerr, J. (2006). An ecological approach to creating active living communities. Annu Rev Public Health, 27, 297-322. doi:10.1146/annurev.publhealth.27.021405.102100

Sampasa-Kanyinga, H., Standage, M., Tremblay, M. S., Katzmarzyk, P. T., Hu, G., Kuriyan, R., . . . Chaput, J. P. (2017). Associations between meeting combinations of 24-h movement guidelines and health-related quality of life in children from 12 countries. Public Health, 153, 16-24. doi:10.1016/j.puhe.2017.07.010

Sampson, R. J., Raudenbush, S. W., & Earls, F. (1997). Neighborhoods and violent crime: a multilevel study of collective efficacy. Science, 277(5328), 918-924.

Saunders, T. J., Gray, C. E., Poitras, V. J., Chaput, J. P., Janssen, I., Katzmarzyk, P. T., . . . Carson, V. (2016). Combinations of physical activity, sedentary behaviour and sleep: relationships with health indicators in school-aged children and youth. Appl Physiol Nutr Metab, 41(6 Suppl 3), S283-293. doi:10.1139/apnm-2015-0626

Saunders, T. J., & Vallance, J. K. (2017). Screen Time and Health Indicators Among Children and Youth: Current Evidence, Limitations and Future Directions. Appl Health Econ Health Policy, 15(3), 323-331. doi:10.1007/s40258-016-0289-3

Sterdt, E., Liersch, S., & Walter, U. (2014). Correlates of physical activity of children and adolescents: A systematic review of reviews. Health Education Journal, 73(1), 72-89.

Streiner, D. L. (2003). Starting at the beginning: an introduction to coefficient alpha and internal consistency. J Pers Assess, 80(1), 99-103. doi:10.1207/S15327752JPA8001_18

The KIDSCREEN Group Europe. (2006). The KIDSCREEN Questionnaires - Quality of life questionnaires for children and adolescents. Lengerich: Pabst Science Publishers.

Tremblay, M. S., Barnes, J. D., González, S. A., Katzmarzyk, P. T., Onywera, V. O., Reilly, J. J., & Tomkinson, G. R. (2016). Global Matrix 2.0: Report Card Grades on the Physical Activity of Children and Youth Comparing 38 Countries. J Phys Act Health, 13(11 Suppl 2), S343-S366. doi:10.1123/jpah.2016-0594

Tremblay, M. S., Carson, V., Chaput, J. P., Connor Gorber, S., Dinh, T., Duggan, M., . . . Zehr, L. (2016). Canadian 24-Hour Movement Guidelines for Children and Youth: An Integration of Physical Activity, Sedentary Behaviour, and Sleep. Appl Physiol Nutr Metab, 41(6 Suppl 3), S311-327. doi:10.1139/apnm-2016-0151

Tudor-Locke, C., Barreira, T. V., Schuna, J. M., Jr., Mire, E. F., Chaput, J. P., Fogelholm, M., . . . Group, I. R. (2015). Improving wear time compliance with a 24-hour waist-worn accelerometer protocol in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE). Int J Behav Nutr Phys Act, 12, 11. doi:10.1186/s12966-015-0172-x

U.S. Centers for Disease Control and Prevention. (2017). Youth Risk Behavior Surveillance System (YRBSS). Retrieved from https://www.cdc.gov/healthyyouth/data/yrbs/index.htm

Webber, L., Kilpi, F., Marsh, T., Rtveladze, K., Brown, M., & McPherson, K. (2012). High rates of obesity and non-communicable diseases predicted across Latin America. PloS one, 7(8), e39589. doi:10.1371/journal.pone.0039589

Wilkie, H. J., Standage, M., Gillison, F. B., Cumming, S. P., & Katzmarzyk, P. T. (2018). Correlates of intensity-specific physical activity in children aged 9-11 years: a multilevel analysis of UK data from the International Study of Childhood Obesity, Lifestyle and the Environment. BMJ Open, 8(2), e018373. doi:10.1136/bmjopen-2017-018373

Williamson, D. A., Champagne, C. M., Harsha, D. W., Han, H., Martin, C. K., Newton, R. L., Jr., . . . Ryan, D. H. (2012). Effect of an environmental school-based obesity prevention program on changes in body fat and body weight: a randomized trial. Obesity, 20(8), 1653-1661. doi:10.1038/oby.2012.60

World Health Organization. (2010). Global recommendations on physical activity for health. Retrieved from Geneva, Switzerland:

Yao, C. A., & Rhodes, R. E. (2015). Parental correlates in child and adolescent physical activity: a meta-analysis. Int J Behav Nutr Phys Act, 12(1), 10. doi:10.1186/s12966-015-0163-y

Zhu, Z., Chen, P., & Zhuang, J. (2013). Intensity classification accuracy of accelerometer-measured physical activities in Chinese children and youth. Res Q Exerc Sport, 84 Suppl 2, S4-11. doi:10.1080/02701367.2013.850919

Publicado
2019-07-23
Cómo citar
Aguilar-Farias, N., Martino-Fuentealba, P., & Chandia-Poblete, D. (2019). Correlates of device-measured physical activity, sedentary behaviour and sleeping in children aged 9-11 years from Chile: ESPACIOS study (Factores asociados con actividad física, conducta sedentaria y sueño medidos con acelerómetros en niños de 9-11 años. Retos, 37(37), 1-10. https://doi.org/10.47197/retos.v37i37.71142
Sección
Artículos de carácter científico: trabajos de investigaciones básicas y/o aplicadas