Longitudinal changes in objectively measured physical activity, sedentary behavior and sleep in Spanish adolescents
DOI:
https://doi.org/10.15359/mhs.22-1.18915Keywords:
physical activity, sleep, adolescentsAbstract
Longitudinal evidence on the evolution of physical activity (PA), sedentary behavior and sleep in adolescents is still scarce, especially in Spanish contexts. Purpose: The present study aimed to assess the wakefulness movement and sleep progression from early to mid-adolescence with 24-hours accelerometry. Methodology: Participants included 229 adolescents (123 males, 106 females) aged 13 to 15 years (13.28 ± .57) from a city in the north of Spain. Three repeated measures were taken in 3 consecutive years. PA, sedentary behavior and sleep variables were measured using ActiGraph GT3x accelerometers over a full week. Anthropometric measures were taken to obtain BMI and socioeconomic status was assessed with a validated questionnaire. Statistical analyses included linear mixed models. Results: Data showed that sedentary behavior and vigorous PA increased over time, whereas light PA, moderate PA and energy expenditure decreased. Both total sleep time and sleep efficiency decreased, whereas sleep onset and offset were delayed. Conclusions: Over the 3-year period, adolescents worsened in most of the variables analyzed. These findings highlight the need to develop both PA and sleep interventions during adolescence.
Downloads
References
Beltran-Valls, M. R.; Adelantado-Renau, M.; Mota, J., & Moliner-Urdiales, D. (2021). Longitudinal Associations of Healthy Behaviors on Fitness in Adolescents: DADOS Study. American Journal of Preventive Medicine, 61(3), 410-417. https://doi.org/10.1016/j.amepre.2021.04.009
Choi, L.; Liu, Z.; Matthews, C. E., & Buchowski, M. S. (2011). Validation of accelerometer wear and non-wear time classification algorithm. Medicine and Science in Sports and Exercise, 43(2), 357-364. https://doi.org/10.1249/MSS.0b013e3181ed61a3
Cole, T. J., & Lobstein, T. (2012). Extended international (IOTF) body mass index cut‐offs for thinness, overweight and obesity. Pediatric Obesity, 7(4), 284-294. https://doi.org/10.1111/j.2047-6310.2012.00064.x
Colley, R.; Gorber, S. C., & Tremblay, M. S. (2010). Quality control and data reduction procedures for accelerometry-derived measures of physical activity. Health Reports, 21(1), 63-69. https://www150.statcan.gc.ca/n1/pub/82-003-x/2010001/article/11066-eng.pdf
Collings, P. J.; Wijndaele, K.; Corder, K.; Westgate, K.; Ridgway, C. L.; Sharp, S. J.; Dunn, V.; Goodyer, I.; Ekelund, U., & Brage, S. (2015). Magnitude and determinants of change in objectively measured physical activity, sedentary time and sleep duration from ages 15 to 17.5 y in UK adolescents: the ROOTS study. International Journal of Behavioral Nutrition and Physical Activity, 12(1), 1-10. https://doi.org/10.1186/s12966-015-0222-4
Contardo-Ayala, A. M.; Salmon, J.; Dunstan, D. W.; Arundell, L.; Parker, K., & Timperio, A. (2019). Longitudinal changes in sitting patterns, physical activity, and health outcomes in adolescents. Children, 6(1), 1-10. https://doi.org/10.3390/children6010002
Costigan, S. A.; Lubans, D. R.; Lonsdale, C.; Sanders, T., & del Pozo-Cruz, B. (2019). Associations between physical activity intensity and well-being in adolescents. Preventive Medicine, 125, 55-61. https://doi.org/10.1016/j.ypmed.2019.05.009
Crowley, S. J., Van Reen, E., LeBourgeois, M. K., Acebo, C., Tarokh, L., Seifer, R., Barker, D. H., & Carskadon, M. A. (2014). A longitudinal assessment of sleep timing, circadian phase, and phase angle of entrainment across human adolescence. PloS One, 9(11), 1-11. https://doi.org/gdgzfb
Crowley, S. J.; Wolfson, A. R.; Tarokh, L., & Carskadon, M. A. (2018). An update on adolescent sleep: New evidence informing the perfect storm model. Journal of Adolescence, 67, 55-65. https://doi.org/10.1016/j.adolescence.2018.06.001
Currie, C., Inchley, J., Molcho, M., Lenzi, M., Veselska, Z., & Wild, F. (2014). Health Behaviour in School-aged Children (HBSC) Study Protocol: Background, Methodology and Mandatory items for the 2013/14 Survey. St. Andrews University.
Dregan, A., & Armstrong, D. (2010). Adolescence sleep disturbances as predictors of adulthood sleep disturbances—a cohort study. Journal of Adolescent Health, 46(5), 482-487. https://doi.org/10.1016/j.jadohealth.2009.11.197
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. Journal of Sports Sciences, 26(14), 1557-1565. https://doi.org/10.1080/02640410802334196
Farooq, M. A.; Parkinson, K. N.; Adamson, A. J.; Pearce, M. S.; Reilly, J. K.; Hughes, A. R.; Janssen, X., & Reilly, J. J. (2018). Timing of the decline in physical activity in childhood and adolescence: Gateshead Millennium Cohort Study. British Journal of Sports Medicine, 52(15), 1002-1006. http://dx.doi.org/10.1136/bjsports-2016-096933
Farooq, A.; Martin, A.; Janssen, X.; Wilson, M. G.; Gibson, A. M.; Hughes, A., & Reilly, J. J. (2020). Longitudinal changes in moderate‐to‐vigorous‐intensity physical activity in children and adolescents: A systematic review and meta‐analysis. Obesity Reviews, 21(1), 1-15. https://doi.org/10.1111/obr.12953
Feinberg, I., & Campbell, I. G. (2013). Longitudinal sleep EEG trajectories indicate complex patterns of adolescent brain maturation. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 304(4), R296-R303. https://doi.org/10.1152/ajpregu.00422.2012
Field, A. (2013). Discovering statistics using IBM SPSS statistics. SAGE. https://us.sagepub.com/en-us/nam/discovering-statistics-using-ibm-spss-statistics/bo%C3%B4k257672
Francis, S. L.; Morrissey, J. L.; Letuchy, E. M.; Levy, S. M., & Janz, K. F. (2013). Ten-year objective physical activity tracking: Iowa Bone Development Study. Medicine and Science in Sports and Exercise, 45(8), 1508-1514. https://doi.org/10.1249/MSS.0b013e31828b2f3a
Freedson, P.; Pober, D., & Janz, K. F. (2005). Calibration of accelerometer output for children. Medicine and Science in Sports and Exercise, 37(11), S523-S530. https://doi.org/10.1249/01.mss.0000185658.28284.ba
Full, K. M.; Kerr, J.; Grandner, M. A.; Malhotra, A.; Moran, K.; Godoble, S.; Natrarajan, L., & Soler, X. (2018). Validation of a physical activity accelerometer device worn on the hip and wrist against polysomnography. Sleep Health, 4(2), 209-216. https://doi.org/10.1249/10.1016/j.sleh.2017.12.007
Gariepy, G.; Danna, S.; Gobiņa, I.; Rasmussen, M.; De Matos, M. G.; Tynjälä, J.; Janssen I.; Kalman M.; Villeruša, A.; Husarova, D.; Brooks, F.; Elgar, F. J.; Klavina-Makrecka, S.; Šmigelskas, K.; Gaspar, T., & Schnohr, C. (2020). How are adolescents sleeping? Adolescent sleep patterns and sociodemographic differences in 24 European and North American countries. Journal of Adolescent Health, 66(6), S81-S88. https://doi.org/10.1016/j.jadohealth.2020.03.013
Garrow, J. S., & Webster, J. (1985). Quetelet's index (W/H2) as a measure of fatness. International Journal of Obesity, 9(2), 147-153. https://pubmed.ncbi.nlm.nih.gov/4030199/
Gillis, B. T., & El-Sheikh, M. (2019). Sleep and adjustment in adolescence: physical activity as a moderator of risk. Sleep Health, 5(3), 266-272. https://doi.org/10.1016/j.sleh.2019.02.001
Grao‐Cruces, A.; Sánchez‐Oliva, D.; Segura‐Jiménez, V.; Cabanas‐Sánchez, V.; Martínez‐Gómez, D.; Rodríguez‐Rodríguez, F.; Moreno, L. A., & Castro‐Piñero, J. (2019). Changes in compliance with school‐based physical activity recommendations in Spanish youth: The UP&DOWN longitudinal study. Scandinavian Journal of Medicine & Science in Sports, 29(4), 554-565. https://doi.org/10.1111/sms.13355
Guthold, R.; Stevens, G. A.; Riley, L. M., & Bull, F. C. (2020). Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants. The Lancet Child & Adolescent Health, 4(1), 23-35. https://doi.org/10.1016/S2352-4642(19)30323-2
Hofmann, D. A.; Griffin, M. A., & Gavin, M. B. (2000). The application of hierarchical linear modeling to organizational research. In K. J. Klein & S. W. J. Kozlowski (Eds.), Multilevel theory, research, and methods in organizations: Foundations, extensions, and new directions (1st ed., pp. 467–511). Jossey-Bass. https://www.wiley.com/en-us/Multilevel+Theory%2C+Research%2C+and+Methods+in+Organizations%3A+Foundations%2C+Extensions%2C+and+New+Directions-p-9780787952280
Janssen, X.; Mann, K. D.; Basterfield, L.; Parkinson, K. N.; Pearce, M. S.; Reilly, J. K.; Adamson, A. J., & Reilly, J. J. (2016). Development of sedentary behavior across childhood and adolescence: longitudinal analysis of the Gateshead Millennium Study. International Journal of Behavioral Nutrition and Physical Activity, 13(1), 1-10. https://doi.org/10.1186/s12966-016-0413-7
Kortesoja, L.; Vainikainen, M. P.; Hotulainen, R.; Rimpelä, A.; Dobewall, H.; Lindfors, P.; Karvonen, S., & Merikanto, I. (2020). Bidirectional relationship of sleep with emotional and behavioral difficulties: a five-year follow-up of Finnish adolescents. Journal of Youth and Adolescence, 49(6), 1277-1291. https://doi.org/10.1007/s10964-020-01203-3
Kracht, C. L.; Champagne, C. M.; Hsia, D. S.; Martin, C. K.; Newton Jr, R. L.; Katzmarzyk, P. T., & Staiano, A. E. (2020). Association between meeting physical activity, sleep, and dietary guidelines and cardiometabolic risk factors and adiposity in adolescents. Journal of Adolescent Health, 66(6), 733-739. https://doi.org/10.1016/j.jadohealth.2019.12.011
Krishnan, V., & Collop, N. A. (2006). Gender differences in sleep disorders. Current Opinion in Pulmonary Medicine, 12(6), 383-389. https://doi.org/10.1097/01.mcp.0000245705.69440.6a
Marfell-Jones, M. J.; Stewart, A. D., & De Ridder, J. H. (2011). International standards for anthropometric assessment. International Society for the Advancement of Kinanthropometry. https://search.worldcat.org/es/title/International-standards-for-anthropometric-assessment-:-(2011)/oclc/891701415
Marshall, S. J.; Gorely, T., & Biddle, S. J. (2006). A descriptive epidemiology of screen-based media use in youth: a review and critique. Journal of Adolescence, 29(3), 333-349. https://doi.org/10.1016/j.adolescence.2005.08.016
Maslowsky, J., & Ozer, E. J. (2014). Developmental trends in sleep duration in adolescence and young adulthood: evidence from a national United States sample. Journal of Adolescent Health, 54(6), 691-697. https://doi.org/10.1016/j.jadohealth.2013.10.201
Master, L.; Nye, R. T.; Lee, S.; Nahmod, N. G.; Mariani, S.; Hale, L., & Buxton, O. M. (2019). Bidirectional, daily temporal associations between sleep and physical activity in adolescents. Scientific Reports, 9(1), 1-14. https://doi.org/10.1038/s41598-019-44059-9
Meijer, A. M.; Reitz, E.; Deković, M.; Van Den Wittenboer, G. L. H., & Stoel, R. D. (2010). Longitudinal relations between sleep quality, time in bed and adolescent problem behaviour. Journal of Child Psychology and Psychiatry, 51(11), 1278–1286. https://doi.org/10.1111/j.1469-7610.2010.02261.x
Metcalf, B. S.; Hosking, J.; Jeffery, A. N.; Henley, W. E., & Wilkin, T. (2015). Exploring the adolescent fall in physical activity: a 10-yr cohort study (EarlyBird 41). Medicine and Science in Sports and Exercise, 47(10), 2084-2092. https://doi.org/10.1249/MSS.0000000000000644
Mitchell, J. A.; Pate, R. R.; Dowda, M.; Mattocks, C.; Riddoch, C.; Ness, A. R., & Blair, S. N. (2012). A prospective study of sedentary behavior in a large cohort of youth. Medicine and Science in Sports and Exercise, 44(6), 1081-1087. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3342456/
Mitchell, J. A.; Pate, R. R.; Beets, M. W., & Nader, P. R. (2013). Time spent in sedentary behavior and changes in childhood BMI: a longitudinal study from ages 9 to 15 years. International Journal of Obesity, 37(1), 54-60. https://doi.org/10.1038/ijo.2012.41
Moore, M., & Meltzer, L. J. (2008). The sleepy adolescent: causes and consequences of sleepiness in teens. Paediatric Respiratory Reviews, 9(2), 114-121. https://doi.org/10.1016/j.prrv.2008.01.001
National Sleep Foundation (2021, March 10). How much sleep do we really need? Sleep Foundation. https://www.sleepfoundation.org/how-sleep-works/how-much-sleep-do-we-really-need
Peat, J. K.; Mellis, C.; Williams, K., & Xuan, W. (2020). Health science research: A handbook of quantitative methods. Routledge. https://doi.org/10.4324/9781003115922
Poitras, V. J.; Gray, C. E.; Borghese, M. M.; Carson, V.; Chaput, J. P.; Janssen, I.; Katzmarzyk, P. T.; Russell, R. P.; Gorber, S. C.; Kho, M. E.; Sampson, M., & Tremblay, M. S. (2016). Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth. Applied Physiology, Nutrition, and Metabolism, 41(6), S197-S239. https://doi.org/10.1139/apnm-2015-0663
Quante, M.; Wang, R.; Weng, J.; Kaplan, E. R.; Rueschman, M.; Taveras, E. M.; Rifas-Shiman, S.; Gillman, M. W., & Redline, S. (2019). Seasonal and weather variation of sleep and physical activity in 12–14-year-old children. Behavioral Sleep Medicine, 17(4), 398-410. https://doi.org/10.1080/15402002.2017.1376206
Tremblay, M. S.; LeBlanc, A. G.; Kho, M. E.; Saunders, T. J.; Larouche, R.; Colley, R. C.; Goldfield, G., & Gorber, S. C. (2011). Systematic review of sedentary behaviour and health indicators in school-aged children and youth. International Journal of Behavioral Nutrition and Physical Activity, 8(1), 1-22. https://doi.org/10.1186/1479-5868-8-98
Sadeh, A.; Sharkey K. M., & Carskadon M. A. (1994). Activity-based sleep-wake identification: an empirical test of methodological issues. Sleep, 17(3), 201-207. https://doi.org/10.1093/sleep/17.3.201
Shochat, T.; Cohen-Zion, M., & Tzischinsky, O. (2014). Functional consequences of inadequate sleep-in adolescents: a systematic review. Sleep Medicine Reviews, 18(1), 75-87. https://doi.org/10.1016/j.smrv.2013.03.005
Sluggett, L.; Wagner, S. L., & Harris, R. L. (2019). Sleep duration and obesity in children and adolescents. Canadian Journal of Diabetes, 43(2), 146-152. https://doi.org/10.1016/j.jcjd.2018.06.006
Snijders, T. A., & Bosker, R. J. (2011). Multilevel analysis: An introduction to basic and advanced multilevel modeling. SAGE. https://us.sagepub.com/en-us/nam/multilevel-analysis/book234191
Spiegel, K.; Tasali, E.; Penev, P., & Cauter, E. V. (2004). Brief communication: sleep curtailment in healthy young men is associated with decreased leptin levels, elevated ghrelin levels, and increased hunger and appetite. Annals of Internal Medicine, 141(11), 846-850. https://doi.org/10.7326/0003-4819-141-11-200412070-00008
Stefansdottir, R.; Rognvaldsdottir, V.; Gestsdottir, S.; Gudmundsdottir, S. L.; Chen, K. Y.; Brychta, R. J., & Johannsson, E. (2020). Changes in sleep and activity from age 15 to 17 in students with traditional and college-style school schedules. Sleep Health, 6(6), 749-757. https://doi.org/10.1016/j.sleh.2020.04.009
Strong, W.; Malina, R.; Blimkie, C.; Daniels, S.; Dishman, R.; Gutin, B.; Hergenroeder, A. C.; Must, A.; Nixon, P. A.; Pivarnik, J. M.; Rowland, T.; Trost, S., & Trudeau, F. (2005). Evidence based physical activity for school-age youth. The Journal of Pediatrics, 146(6), 732–737. https://doi.org/10.1016/j. jpeds.2005.01.055
Symonds, J. E., & Galton, M. (2014). Moving to the next school at age 10–14 years: An international review of psychological development at school transition. Review of Education, 2(1), 1-27. https://doi.org/10.1002/rev3.3021
Tanaka, C.; Reilly, J. J., & Huang, W. Y. (2014). Longitudinal changes in objectively measured sedentary behaviour and their relationship with adiposity in children and adolescents: systematic review and evidence appraisal. Obesity Reviews, 15(10), 791-803. https://doi.org/10.1111/obr.12195
Telama, R.; Yang, X.; Viikari, J.; Välimäki, I.; Wanne, O., & Raitakari, O. (2005). Physical activity from childhood to adulthood: a 21-year tracking study. American Journal of Preventive Medicine, 28(3), 267-273. https://doi.org/10.1016/j.amepre.2004.12.003
Torsheim, T.; Cavallo, F.; Levin, K. A.; Schnohr, C.; Mazur, J.; Niclasen, B., & The FAS Development Study Group (2016). Psychometric validation of the revised family affluence scale: A latent variable approach. Child Indicators Research, 9(3), 771–784. https://doi.org/10.1007/s12187-015-9339-x
Trang, N. H.; Hong, T. K.; Van Der Ploeg, H. P.; Hardy, L. L.; Kelly, P. J., & Dibley, M. J. (2012). Longitudinal physical activity changes in adolescents: Ho Chi Minh City youth cohort. Medicine and Science in Sports and Exercise, 44(8), 1481-1489. https://doi.org/10.1249/MSS.0b013e31824e50dc
Trost, S. G.; Loprinzi, P. D.; Moore, R., & Pfeiffer, K. A. (2011). Comparison of accelerometer cut points for predicting activity intensity in youth. Medicine and Science in Sports and Exercise, 43(7), 1360-1368. https://doi.org/10.1249/MSS.0b013e318206476e
West, B.T.; Welch, K.B., & Galecki, A.T. (2014). Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition. Chapman and Hall/CRC. https://doi.org/10.1201/b17198
World Health Organization [WHO] (2020). WHO guidelines on physical activity and sedentary behavior. World Health Organization. https://www.who.int/publications/i/item/9789240015128
World Medical Association (2013). World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA, 310(20), 2191-2194. https://doi.org/10.1001/jama.2013.281053.
Wu, X. Y.; Han, L. H.; Zhang, J. H.; Luo, S.; Hu, J. W., & Sun, K. (2017). The influence of physical activity, sedentary behavior on health-related quality of life among the general population of children and adolescents: A systematic review. PloS One, 12(11), 1-29. https://doi.org/10.1371/journal.pone.0187668
Downloads
Published
Issue
Section
License
Copyright (c) 2025 MHSalud: Revista en Ciencias del Movimiento Humano y Salud

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unported License.
General conditions
MHSalud: Journal in Human Movement Sciences and Health by the Universidad Nacional is cover under a Creative Commons Atribución-NoComercial-SinDerivadas 3.0 Costa Rica license.
The journal is hosted in open access repositories such as the Institutional Repository of the Universidad Nacional, the Kimuk Repository of Costa Rica and La Referencia.
The editorial source of the journal must be recognized. Use the doi identifier for this purpose.
Self-archiving policy: The journal allows the self-archiving of the articles in their peer-reviewed version, edited and approved by the Editorial Board of the Journal to be available in Open Access through the Internet. More information in the following link: https://v2.sherpa.ac.uk/id/publication/25815












