Clustering of 24-h movement behaviors associated with cardiorespiratory fitness among adolescents: a latent class analysis.
Aerobic fitness
Behavior
Exercise
Sedentary living
Youth
Journal
European journal of pediatrics
ISSN: 1432-1076
Titre abrégé: Eur J Pediatr
Pays: Germany
ID NLM: 7603873
Informations de publication
Date de publication:
Jan 2021
Jan 2021
Historique:
received:
01
04
2020
accepted:
06
06
2020
revised:
31
05
2020
pubmed:
20
6
2020
medline:
24
6
2021
entrez:
20
6
2020
Statut:
ppublish
Résumé
This study aimed to examine the clustering of 24-h movement behaviors (moderate to vigorous physical activity, screen time, and sleep duration) and their association with cardiorespiratory fitness among adolescents. We evaluated 561 adolescents (52.1% girls; mean age, 13.0 ± 1.0 years) from Florianópolis, Brazil. A 20-m shuttle run was used to assess cardiorespiratory fitness, while a questionnaire was used to measure 24-h movement behaviors. A latent class analysis was performed to identify the clustering of 24-h movement behaviors, while linear Bayesian mixed-effect regression models were applied to identify their association with cardiorespiratory fitness. Two classes were identified: unhealthy (10.4%), characterized as a high probability of practicing less than 300 min/week of moderate to vigorous physical activity, spending more than 4 h/day in front of screens, and sleeping less than 8 h/day; and healthy (89.6%), characterized by a high probability of practicing more than 420 min/week of moderate to vigorous physical activity, spending less than 2 h/day in front of screens, and sleeping 8-10 h/day. Adolescents in the healthy class had a higher cardiorespiratory fitness level than those in the unhealthy class. Most adolescents were grouped in the healthy class and had higher cardiorespiratory fitness levels than those in the unhealthy class. These results suggest that families and professionals should work toward creating healthier lifestyles for adolescents by increasing opportunities to practice moderate to vigorous physical activity, reduce screen time, and favor healthy sleep to increase their cardiorespiratory fitness levels. What is Known: • Moderate to vigorous physical activity, screen time, and sleep duration are positively, negatively, and inconsistently associated with cardiorespiratory fitness, respectively, when analyzed separately. • Little is known about the clustering of 24-h movement behaviors and how they are associated with cardiorespiratory fitness levels in adolescents. What is New: • The 24-h movement behaviors clustered into almost opposite classes among adolescents (healthy and unhealthy classes). • Adolescents in the healthy class had greater cardiorespiratory fitness levels than those in the unhealthy class.
Identifiants
pubmed: 32556508
doi: 10.1007/s00431-020-03719-z
pii: 10.1007/s00431-020-03719-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
109-117Subventions
Organisme : Conselho Nacional de Desenvolvimento Científico e Tecnológico
ID : 446227/2014-5
Organisme : Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
ID : Finance Code 001
Références
Ortega FB, Ruiz JR, Castillo MJ, Sjöström M (2008) Physical fitness in childhood and adolescence: a powerful marker of health. Int J Obes 32:1–11. https://doi.org/10.1038/sj.ijo.0803774
doi: 10.1038/sj.ijo.0803774
Ruiz JR, Castro-Piñero J, Artero EG et al (2009) Predictive validity of health-related fitness in youth: a systematic review. Br J Sports Med 43:909–923. https://doi.org/10.1136/bjsm.2008.056499
doi: 10.1136/bjsm.2008.056499
pubmed: 19158130
Fogelholm M (2010) Physical activity, fitness and fatness: relations to mortality, morbidity and disease risk factors. A systematic review. Obes Rev 11:202–221. https://doi.org/10.1111/j.1467-789X.2009.00653.x
doi: 10.1111/j.1467-789X.2009.00653.x
pubmed: 19744231
Mintjens S, Menting MD, Daams JG, van Poppel MNM, Roseboom TJ, Gemke RJBJ (2018) Cardiorespiratory fitness in childhood and adolescence affects future cardiovascular risk factors: a systematic review of longitudinal studies. Sports Med 48:2577–2605
doi: 10.1007/s40279-018-0974-5
Tomkinson GR, Lang JJ, Tremblay MS (2017) Temporal trends in the cardiorespiratory fitness of children and adolescents representing 19 high- income and upper middle-income countries between 1981 and 2014. Br J Sports Med 53:478–486. https://doi.org/10.1136/bjsports-2017-097982
doi: 10.1136/bjsports-2017-097982
pubmed: 29084727
Knaeps S, Bourgois JG, Charlier R, Mertens E, Lefevre J, Wijndaele K (2016) Ten-year change in sedentary behaviour, moderate-to-vigorous physical activity, cardiorespiratory fitness and cardiometabolic risk: independent associations and mediation analysis. Br J Sports Med 52:1063–1068. https://doi.org/10.1136/bjsports-2016-096083
doi: 10.1136/bjsports-2016-096083
pubmed: 27491779
pmcid: 6089204
Lang JJ, Belanger K, Poitras V, Janssen I, Tomkinson GR, Tremblay MS (2017) Systematic review of the relationship between 20 m shuttle run performance and health indicators among children and youth. J Sci Med Sport 21:383–397. https://doi.org/10.1016/j.jsams.2017.08.002
doi: 10.1016/j.jsams.2017.08.002
pubmed: 28847618
Lee I-M, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT, Lancet Physical Activity Series Working Group (2012) Impact of physical inactivity on the world’s major non-communicable diseases. Lancet 380:219–229. https://doi.org/10.1016/S0140-6736(12)61031-9.Impact
doi: 10.1016/S0140-6736(12)61031-9.Impact
pubmed: 22818936
pmcid: 3645500
Steele RM, van Sluijs EMF, Cassidy A, Griffin SJ, Ekelund U (2009) Targeting sedentary time or moderate and vigorous intensity activity: independent relations with adiposity in an population-based sample of 10 year old Britisch children. Am J Clin Nutr 90:1185–1192. https://doi.org/10.3945/ajcn.2009.28153.The
doi: 10.3945/ajcn.2009.28153.The
pubmed: 19776141
Van Der Velde JHPM, Schaper NC, Coen et al (2018) Which is more important for cardiometabolic health: sedentary time, higher intensity physical activity or cardiorespiratory fitness? The Maastricht study. Diabetologia 61:2561–2569. https://doi.org/10.1007/s00125-018-4719-7
doi: 10.1007/s00125-018-4719-7
pubmed: 30198051
pmcid: 6223836
Saunders TJ, Chaput JP, Tremblay MS (2014) Sedentary behaviour as an emerging risk factor for cardiometabolic diseases in children and youth. Can J Diabetes 38:53–61. https://doi.org/10.1016/j.jcjd.2013.08.266
doi: 10.1016/j.jcjd.2013.08.266
pubmed: 24485214
Carson V, Tremblay MS, Chaput J, Chastin SFM (2016) Associations between sleep duration , sedentary time , physical activity, and health indicators among Canadian children and youth using compositional analyses 1. Appl Physiol Nutr Metab 302:294–302. https://doi.org/10.1139/apnm-2016-0026
doi: 10.1139/apnm-2016-0026
Tremblay MS, Chaput JP, Adamo KB, Aubert S, Barnes JD, Choquette L, Duggan M, Faulkner G, Goldfield GS, Gray CE, Gruber R, Janson K, Janssen I, Janssen X, Jaramillo Garcia A, Kuzik N, LeBlanc C, MacLean J, Okely AD, Poitras VJ, Rayner ME, Reilly JJ, Sampson M, Spence JC, Timmons BW, Carson V (2016) Canadian 24-hour movement guidelines for the early years (0-4 years): an integration of physical activity, sedentary behaviour, and sleep. BMC Public Health 17:874. https://doi.org/10.1186/s12889-017-4859-6
doi: 10.1186/s12889-017-4859-6
Pedišić Ž, Dumuid D, Olds TS (2017) Integrating sleep, sedentary behaviour, and physical activity research in the emerging field of time-use epidemiology: definitions, concepts, statistical methods, theoretical framework, and future directions. Kinesiology 49:252–269
doi: 10.26582/k.49.2.14
Landry BW, Driscoll SW (2012) Physical activity in children and adolescents. PM R 4:826–832. https://doi.org/10.1016/j.pmrj.2012.09.585
doi: 10.1016/j.pmrj.2012.09.585
pubmed: 23174545
Fullagar HHK, Skorski S, Duffield R, Hammes D, Coutts AJ, Meyer T (2015) Sleep and athletic performance: the effects of sleep loss on exercise performance, and physiological and cognitive responses to exercise. Sports Med 45:161–186. https://doi.org/10.1007/s40279-014-0260-0
doi: 10.1007/s40279-014-0260-0
pubmed: 25315456
Carson V, Chaput JP, Janssen I, Tremblay MS (2017) Health associations with meeting new 24-hour movement guidelines for Canadian children and youth. Prev Med (Baltim) 95:7–13. https://doi.org/10.1016/j.ypmed.2016.12.005
doi: 10.1016/j.ypmed.2016.12.005
Saunders TJ, Ellen Gray C, Joan Poitras V et al (2016) Combinations of physical activity, sedentary behaviour and sleep: relationships with health indicators in school-aged children and youth 1. Appl Physiol Nutr Metab Downloaded from 41:283–293. https://doi.org/10.1139/apnm-2015-0626
Léger LA, Mercier D, Gadoury C, Lambert J (1988) The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci 6:93–101
doi: 10.1080/02640418808729800
da Silva Duarte MDF, Duarte CR (2001) Validade do teste aeróbico de corrida de vai-e-vem de 20 metros. Rev Bras Ciênce Mov 9:7–14
Ainsworth BE, Haskell WL, Herrmann SD et al (2011) 2011 compendium of physical activities: a second update of codes and MET values. Med Sci Sports Exerc 43:1575–1581. https://doi.org/10.1249/MSS.0b013e31821ece12
doi: 10.1249/MSS.0b013e31821ece12
da Silva KS, da Silva Lopes A, Hoefelmann LP et al (2013) Projeto COMPAC (comportamentos dos adolescentes catarinenses): Aspectos metodológicos, operacionais e éticos. Rev Bras Cineantropom Desempenho Hum 15:1–15. https://doi.org/10.5007/1980-0037.2013v15n1p1
doi: 10.5007/1980-0037.2013v15n1p1
Barbosa Filho VC, Lopes ADS, Lima AB et al (2015) Rationale and methods of a cluster-randomized controlled trial to promote active and healthy lifestyles among Brazilian students: the “fortaleça sua Saúde” program energy balance-related behaviors. BMC Public Health 15. https://doi.org/10.1186/s12889-015-2543-2
da Costa BGG, Salmon J, dos Santos PC et al (2019) Clustering of screen time behaviours in adolescents and its association with waist circumference and cardiorespiratory fitness. J Sci Med Sports:8–13. https://doi.org/10.1016/j.jsams.2019.11.007
Paruthi S, Brooks LJ, Ambrosio CD et al (2016) Consensus statement of the American Academy of Sleep Medicine. J Clin Sleep Med 12:1553–1561. https://doi.org/10.5664/jcsm.6288
doi: 10.5664/jcsm.6288
World Health Organization (2013) Health Inequality Monitoring
Cole TJ, Flegal KM, Nicholls D, Jackson AA (2007) Body mass index cut offs to define thinness in children and adolescents: international survey. Br Med J 335:194–197. https://doi.org/10.1136/bmj.39238.399444.55
doi: 10.1136/bmj.39238.399444.55
Schreiber JB (2017) Latent class analysis: an example for reporting results. Res Soc Adm Pharm 13:1196–1201. https://doi.org/10.1016/j.sapharm.2016.11.011
doi: 10.1016/j.sapharm.2016.11.011
Nylund KL, Asparouhov T, Muthén BO (2007) Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Struct Equ Model 14:535–569. https://doi.org/10.1080/10705510701575396
doi: 10.1080/10705510701575396
McElreath R (2015) Statistical rethinking: a Bayesian course with examples in R and Stan. Chapman & Hall/CRC Press, Boca Raton
Nuzzo RL (2017) An introduction to Bayesian data analysis for correlations. 9:1278–1282. https://doi.org/10.1016/j.pmrj.2017.11.003
Sinharay S (2004) Experiences with Markov chain Monte Carlo convergence assessment in two psychometric examples. J Educ Behav Stat 29:461–488
doi: 10.3102/10769986029004461
Cabanas-Sánchez V, Martínez-Gómez D, Izquierdo-Gómez R et al (2018) Association between clustering of lifestyle behaviors and health-related physical fitness in youth: the UP&DOWN study. J Pediatr 199:41–48.e1. https://doi.org/10.1016/j.jpeds.2018.03.075
doi: 10.1016/j.jpeds.2018.03.075
pubmed: 29803300
Savva SC, Tornaritis MJ, Kolokotroni O, Chadjigeorgiou C, Kourides Y, Karpathios T, Yiallouros PK (2014) High cardiorespiratory fitness is inversely associated with incidence of overweight in adolescence: a longitudinal study. Scand J Med Sci Sports 24:982–989. https://doi.org/10.1111/sms.12097
doi: 10.1111/sms.12097
pubmed: 23826656
Leech RM, McNaughton SA, Timperio A (2014) The clustering of diet, physical activity and sedentary behavior in children and adolescents: a review. Int J Behav Nutr Phys Act 11:1–9. https://doi.org/10.1186/1479-5868-11-4
doi: 10.1186/1479-5868-11-4
Jukarainen S, Holst R, Dalgard C et al (2017) Cardiorespiratory fitness and adiposity as determinants of metabolic health — pooled analysis of two twin cohorts. 102:1520–1528. https://doi.org/10.1210/jc.2016-3435
Coe DP, Peterson T, Blair C, Schutten MC, Peddie H (2013) Physical fitness, academic achievement, and socioeconomic status in school-aged youth. J Sch Health 83:500–507. https://doi.org/10.1111/josh.12058
doi: 10.1111/josh.12058
pubmed: 23782093
London RA, Castrechini S (2011) A longitudinal examination of the link between youth physical fitness and academic achievement. J Sch Health 81:400–408
doi: 10.1111/j.1746-1561.2011.00608.x
Gualteros JA, Torres JA, Umbarila-Espinosa LM et al (2015) A lower cardiorespiratory fitness is associated to an unhealthy status among children and adolescents from Bogotá, Colombia. Endocrinol Nutr (English Ed) 62:437–446. https://doi.org/10.1016/j.endoen.2015.11.002
doi: 10.1016/j.endoen.2015.11.002
Jin Y, Jones-Smith JC (2015) Associations between family income and children’s physical fitness and obesity in California, 2010-2012. Prev Chronic Dis 12:1–9. https://doi.org/10.5888/pcd12.140392
doi: 10.5888/pcd12.140392
Sandercock GRH, Lobelo F, Correa-Bautista JE et al (2017) The relationship between socioeconomic status, family income, and measures of muscular and cardiorespiratory fitness in Colombian schoolchildren. J Pediatr 185:81–87.e2. https://doi.org/10.1016/j.jpeds.2016.12.058
doi: 10.1016/j.jpeds.2016.12.058
pubmed: 28161198
Ruiz JR, Castro-piñero J, España-romero V et al (2011) Field-based fi tness assessment in young people : the ALPHA health-related fitness test battery for children and adolescents. Br J Sports Med 45:518–524. https://doi.org/10.1136/bjsm.2010.075341
doi: 10.1136/bjsm.2010.075341
pubmed: 20961915
Ramírez-Vélez R, Rodrigues-Bezerra D, Correa-Bautista JE, Izquierdo M, Lobelo F (2015) Reliability of health-related physical fitness tests among Colombian children and adolescents: the Fuprecol study. PLoS One 10:1–12. https://doi.org/10.1371/journal.pone.0140875
doi: 10.1371/journal.pone.0140875
Petroski EL, da Silva AF, Rodrigues AB, Pelegrini A (2011) Aptidão fiísica relacionada a saúde em adolescentes brasileiros residentes em áreas de médio/baixo índice de desenvolvimento humano. Rev Salud Publica 13:219–228. https://doi.org/10.1590/S0124-00642011000200004
doi: 10.1590/S0124-00642011000200004
pubmed: 22030880
Guthold R, Stevens GA, Riley LM, Bull FC (2020) Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants. Lancet Child Adolesc Health 4:23–35. https://doi.org/10.1016/S2352-4642(19)30323-2
doi: 10.1016/S2352-4642(19)30323-2
pubmed: 31761562
pmcid: 6919336
Mielke GI, Brown WJ, Nunes BP, Silva ICM, Hallal PC (2017) Socioeconomic correlates of sedentary behavior in adolescents: systematic review and meta-analysis. Sports Med 47:61–75. https://doi.org/10.1007/s40279-016-0555-4
doi: 10.1007/s40279-016-0555-4
pubmed: 27260683
Minatto G, Barbosa Filho VC, Berria J, Petroski EL (2016) School-based interventions to improve cardiorespiratory fitness in adolescents: systematic review with meta-analysis. Sports Med 46:1273–1292. https://doi.org/10.1007/s40279-016-0480-6
doi: 10.1007/s40279-016-0480-6
pubmed: 26846429
Agostinis-Sobrinho C, Ruiz JR, Moreira C, Lopes L, Ramírez-Vélez R, García-Hermoso A, Mota J, Santos R (2018) Changes in muscular fitness and its association with blood pressure in adolescents. Eur J Pediatr 177:1101–1109. https://doi.org/10.1007/s00431-018-3164-4
doi: 10.1007/s00431-018-3164-4
pubmed: 29740692
Beltran-Valls MR, Adelantado-renau M, Castro-piñero J et al (2018) Cardiorespiratory fitness and academic performance association is mediated by weight status in adolescents : DADOS study. Eur J Pediatr 177:1037–1043
doi: 10.1007/s00431-018-3159-1
Adelantado-Renau M, Jiménez-pavón D, Beltran-valls MR et al (2018) Fitness and academic performance in adolescents . The mediating role of leptin : DADOS study. Eur J Pediatr 177:1555–1563
doi: 10.1007/s00431-018-3213-z