Novel patterns of physical activity in a large sample of preschool-aged children

Rachel M Ruiz, Evan C Sommer, Dustin Tracy, Jorge A Banda, Christina D Economos, Megan M JaKa, Kelly R Evenson, Maciej S Buchowski, Shari L Barkin, Rachel M Ruiz, Evan C Sommer, Dustin Tracy, Jorge A Banda, Christina D Economos, Megan M JaKa, Kelly R Evenson, Maciej S Buchowski, Shari L Barkin

Abstract

Background: Moderate-to-vigorous physical activity (MVPA), shown to be associated with health benefits, is not well-characterized in preschool-aged children. MVPA is commonly described as a threshold amount to achieve. We examined a novel way to characterize MVPA patterns in preschool-aged children by gender and age.

Methods: Preschool-aged children from Nashville, TN and Minneapolis, MN wore triaxial accelerometers. Four distinct MVPA patterns were identified: isolated spurt (IS), isolated sustained activity (ISA), clustered spurt (CS), and clustered sustained activity (CSA). Multivariable linear regression models were used to test associations of gender and age with each pattern.

Results: One thousand one hundred thirty-one children (3.9 years old, 51% girls, 30% overweight, 11% obese, and 76% Hispanic) wore accelerometers for 12.9 (SD = 1.4) hours/day for 6.7 (SD = 0.7) days. Children spent 53% of wear time in sedentary behavior and 13% in MVPA. On average, boys and girls achieved > 90 min/day of MVPA (98.2 min, SD = 32.3). Most MVPA (80%) was obtained in spurt-like (IS and CS) MVPA; however, girls spent a higher proportion of MVPA in IS and CS, and lower proportion of time in CSA (all p < 0.001). Controlling for gender, an increase of 1-year in age corresponded to a 1.5% increase in CSA (p < 0.05).

Conclusions: How MVPA was obtained varied depending on the gender and age of the child. On average, boys spent more time in sustained MVPA than girls and MVPA was more sustained in older children. Utilizing these patterns could inform PA practice and policy guidelines.

Trial registration: NCT01316653 , date of registration: March 3, 2011; NCT01606891, date of registration: May 23, 2012.

Keywords: Childhood obesity; Family; Latino; MVPA; Parent and child; Physical activity; Prevention.

Conflict of interest statement

Ethics approval and consent to participate

Written informed consent was obtained prior to participation and protocols were approved by the Vanderbilt University (No. 120643) and the University of Minnesota (No. 1005S81634) Institutional Review Boards.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Average percent of total MVPA achieved through each specific pattern type (N = 1131). Because the distributions of all PA categories were non-normal, the following p-values are from non-parametric, two-sample, Wilcoxon-Mann-Whitney rank-sum tests of the null hypothesis that the distribution of girls is equal to the distribution of boys: IS p < 0.001, ISA p = 0.2, CS p < 0.001, CSA p < 0.001

References

    1. Institute of Medicine Early childhood obesity prevention policies. Institute of Medicine, 2011.
    1. DoHa A. National physical activity guidelines for Australians. Physical activity recommendations for 0–5 year olds. Canberra: Commonwealth of Australia; 2010.
    1. Department of Health PA, Health improvement and protection. Start active, stay active: A report on physical activity for health from the four home countries' chief medical officers. London: Department of Health; 2011.
    1. Canadian Society for Exercise Physiology. Canadian physical activity guidelines and Canadian sedentary behaviour guidelines: your plan to get active every day 2012 [16 Feb 2016]. Available from: .
    1. Pate RR, O'Neill JR, Brown WH, Pfeiffer KA, Dowda M, Addy CL. Prevalence of compliance with a new physical activity guideline for preschool-age children. Child Obes. 2015;11(4):415–420. doi: 10.1089/chi.2014.0143.
    1. Lambourne K, Donnelly JE. The role of physical activity in pediatric obesity. Pediatr Clin N Am. 2011;58(6):1481–1491. doi: 10.1016/j.pcl.2011.09.004.
    1. Janssen I, Leblanc AG. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int J Behav Nutr Phys Act. 2010;7:40. doi: 10.1186/1479-5868-7-40.
    1. Brambilla P, Pozzobon G, Pietrobelli A. Physical activity as the main therapeutic tool for metabolic syndrome in childhood. Int J Obes. 2011;35(1):16–28. doi: 10.1038/ijo.2010.255.
    1. Flynn MA, McNeil DA, Maloff B, Mutasingwa D, Wu M, Ford C, et al. Reducing obesity and related chronic disease risk in children and youth: a synthesis of evidence with 'best practice' recommendations. Obes Rev. 2006;7(Suppl 1):7–66. doi: 10.1111/j.1467-789X.2006.00242.x.
    1. Physical Activity Guidelines Advisory Committee . Physical activity guidelines advisory committee report, 2008. Washington, DC: U.S. Department of Health and Human Services; 2008.
    1. Fakhouri TH, Hughes JP, Brody DJ, Kit BK, Ogden CL. Physical activity and screen-time viewing among elementary school-aged children in the United States from 2009 to 2010. JAMA Pediatr. 2013;167(3):223–229. doi: 10.1001/2013.jamapediatrics.122.
    1. Anderson SE, Economos CD, Must A. Active play and screen time in US children aged 4 to 11 years in relation to sociodemographic and weight status characteristics: a nationally representative cross-sectional analysis. BMC Public Health. 2008;8:366. doi: 10.1186/1471-2458-8-366.
    1. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014;311(8):806–814. doi: 10.1001/jama.2014.732.
    1. Belcher BR, Berrigan D, Dodd KW, Emken BA, Chou CP, Spruijt-Metz D. Physical activity in US youth: effect of race/ethnicity, age, gender, and weight status. Med Sci Sports Exerc. 2010;42(12):2211–2221. doi: 10.1249/MSS.0b013e3181e1fba9.
    1. De Baere S, Lefevre J, De Martelaer K, Philippaerts R, Seghers J. Temporal patterns of physical activity and sedentary behavior in 10-14 year-old children on weekdays. BMC Public Health. 2015;15:791. doi: 10.1186/s12889-015-2093-7.
    1. Van Cauwenberghe E, Jones RA, Hinkley T, Crawford D, Okely AD. Patterns of physical activity and sedentary behaviour in preschool children. Int J Behav Nutr Phys Act. 2012;9:138. doi: 10.1186/1479-5868-9-138.
    1. O'Dwyer M, Fairclough SJ, Ridgers ND, Knowles ZR, Foweather L, Stratton G. Patterns of objectively measured moderate-to-vigorous physical activity in preschool children. J Phys Act Health. 2014;11(6):1233–1238. doi: 10.1123/jpah.2012-0163.
    1. Benham-Deal T. Preschool children's accumulated and sustained physical activity. Percept Mot Skills. 2005;100(2):443–450. doi: 10.2466/pms.100.2.443-450.
    1. Cliff DP, Jones RA, Burrows TL, Morgan PJ, Collins CE, Baur LA, et al. Volumes and bouts of sedentary behavior and physical activity: associations with cardiometabolic health in obese children. Obesity (Silver Spring) 2014;22(5):E112–E118. doi: 10.1002/oby.20698.
    1. Johansson E, Hagstromer M, Svensson V, Ek A, Forssen M, Nero H, et al. Objectively measured physical activity in two-year-old children - levels, patterns and correlates. Int J Behav Nutr Phys Act. 2015;12:3. doi: 10.1186/s12966-015-0161-0.
    1. Biddle SJ, Marshall SJ, Gorely T, Cameron N. Temporal and environmental patterns of sedentary and active behaviors during adolescents' leisure time. Int J Behav Med. 2009;16(3):278–286. doi: 10.1007/s12529-008-9028-y.
    1. Senso MM, Trost SG, Crain AL, Seburg EM, Anderson JD, Sherwood NE. Activity patterns of preschool-aged children at risk for obesity. J Phys Act Health. 2015;12(6):861–868. doi: 10.1123/jpah.2013-0503.
    1. Kim Y, Barreira TV, Kang M. Concurrent associations of physical activity and screen-based sedentary behavior on obesity among US adolescents: a latent class analysis. J Epidemiol. 2016;26(3):137–144. doi: 10.2188/jea.JE20150068.
    1. Evenson KR, Wen F, Hales D, Herring AH. National youth sedentary behavior and physical activity daily patterns using latent class analysis applied to accelerometry. Int J Behav Nutr Phys Act. 2016;13(1):55. doi: 10.1186/s12966-016-0382-x.
    1. Tonge KL, Jones RA, Okely AD. Correlates of children's objectively measured physical activity and sedentary behavior in early childhood education and care services: a systematic review. Prev Med. 2016;89:129–139. doi: 10.1016/j.ypmed.2016.05.019.
    1. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40(1):181–188. doi: 10.1249/mss.0b013e31815a51b3.
    1. Ruiz RM, Tracy D, Sommer EC, Barkin SL. A novel approach to characterize physical activity patterns in preschool-aged children. Obesity (Silver Spring) 2013;21(11):2197–2203. doi: 10.1002/oby.20560.
    1. Pratt CA, Boyington J, Esposito L, Pemberton VL, Bonds D, Kelley M, et al. Childhood obesity prevention and treatment research (COPTR): interventions addressing multiple influences in childhood and adolescent obesity. Contemp Clin Trials. 2013;36(2):406–413. doi: 10.1016/j.cct.2013.08.010.
    1. Stevens J, Pratt C, Boyington J, Nelson C, Truesdale KP, Wards DS, et al. Multilevel Interventions Targeting Obesity: Research recommendations for vulnerable populations. Am J Prev Med. 2017;52(1):115-24.
    1. Centers for Disease Control and Prevention. BMI Calculator for Child and Teen: English Version [cited 6 Dec 2007]. Available from: .
    1. Po'e EK, Heerman WJ, Mistry RS, Barkin SL. Growing right onto wellness (GROW): a family-centered, community-based obesity prevention randomized controlled trial for preschool child-parent pairs. Contemp Clin Trials. 2013;36(2):436–449. doi: 10.1016/j.cct.2013.08.013.
    1. Sherwood NE, French SA, Veblen-Mortenson S, Crain AL, Berge J, Kunin-Batson A, et al. NET-works: linking families, communities and primary care to prevent obesity in preschool-age children. Contemp Clin Trials. 2013;36(2):544–554. doi: 10.1016/j.cct.2013.09.015.
    1. 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):2009–2016. doi: 10.1249/MSS.0b013e318258cb36.
    1. Pate RR, O'Neill JR, Mitchell J. Measurement of physical activity in preschool children. Med Sci Sports Exerc. 2010;42(3):508–512. doi: 10.1249/MSS.0b013e3181cea116.
    1. Choi L, Zhouwen L, Matthews CE, Buchowski MS. Process physical activity accelerometer data. 2011.
    1. Brasholt M, Chawes B, Kreiner-Moller E, Vahlkvist S, Sinding M, Bisgaard H. Objective assessment of levels and patterns of physical activity in preschool children. Pediatr Res. 2013;74(3):333–338. doi: 10.1038/pr.2013.99.
    1. Vale SM, Santos RM, Da Cruz Soares-Miranda LM, Moreira CM, Ruiz JR, Mota JA. Objectively measured physical activity and body mass index in preschool children. Int J Pediatr. 2010;2010:479439.
    1. Janz KF, Levy SM, Burns TL, Torner JC, Willing MC, Warren JJ. Fatness, physical activity, and television viewing in children during the adiposity rebound period: the Iowa bone development study. Prev Med. 2002;35(6):563–571. doi: 10.1006/pmed.2002.1113.
    1. Trost SG, Pate RR, Sallis JF, Freedson PS, Taylor WC, Dowda M, et al. Age and gender differences in objectively measured physical activity in youth. Med Sci Sports Exerc. 2002;34(2):350–355. doi: 10.1097/00005768-200202000-00025.
    1. Physical Activity Guidelines Advisory Committee . Physical activity guidelines advisory committee report, 2008. Washington, D. C: U.S. Department of Health and Human Services; 2008.
    1. Timmons BW, Leblanc AG, Carson V, Connor Gorber S, Dillman C, Janssen I, et al. Systematic review of physical activity and health in the early years (aged 0-4 years) Appl Physiol Nutr Metab. 2012;37(4):773–792. doi: 10.1139/h2012-070.
    1. Hesketh KR, McMinn AM, Ekelund U, Sharp SJ, Collings PJ, Harvey NC, et al. Objectively measured physical activity in four-year-old British children: a cross-sectional analysis of activity patterns segmented across the day. Int J Behav Nutr Phys Act. 2014;11(1)
    1. Jackson DMRJ, Kelly LA, Montgomery C, Grant S, Paton JY. Objectively measured physical activity in a representative sample of 3- to 4-year-old children. Obes Res. 2003;11(3):420–425. doi: 10.1038/oby.2003.57.
    1. van Sluijs EM, McMinn AM, Inskip HM, Ekelund U, Godfrey KM, Harvey NC, et al. Correlates of light and moderate-to-vigorous objectively measured physical activity in four-year-old children. PLoS One. 2013;8(9):e74934. doi: 10.1371/journal.pone.0074934.
    1. Laughlin L. Who’s Minding the Kids? Child Care Arrangements: Spring 2011. Washington, DC: U.S. Census Bureau; 2013. pp. 70–135.
    1. Rice KR, Trost SG. Physical activity levels among children attending family day care. J Nutr Educ Behav. 2014;46(3):197–202. doi: 10.1016/j.jneb.2013.09.001.
    1. Pate RR, O'Neill JR, Byun W, McIver KL, Dowda M, Brown WH. Physical activity in preschool children: comparison between Montessori and traditional preschools. J Sch Health. 2014;84(11):716–721. doi: 10.1111/josh.12207.
    1. Greever CJ, Sirard J, Alhassan S. Objective analysis of Preschoolers' physical activity patterns during free playtime. J Phys Act Health. 2015;12(9):1253–1258. doi: 10.1123/jpah.2014-0307.

Source: PubMed

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