Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Epidemiology and Population Health

Are reallocating time to moderate-to-vigorous physical activity associated with preschoolers’ body composition?

Abstract

Objectives

To use compositional data analysis to examine the associations of daily movement behaviors with body composition, and to predict changes in body composition after reallocating time among behaviors in preschool-aged children.

Methods

268 preschoolers were included in the cross-sectional study. An accelerometer was used to assess sedentary behavior (SB), light and moderate-to-vigorous physical activity (LPA and MVPA). A parental report was used to collect sleep time. Bioelectrical impedance analysis was employed to assess body composition. Compositional linear regression analysis was employed to explore how daily movement behaviors were associated with body composition. Compositional isotemporal substitution analysis was employed to estimate changes in body composition after reallocating time among behaviors.

Results

24-h movement behaviors composition significantly predicted fat-free mass index (FFMI), soft lean mass index (SLMI), and skeletal muscle mass index (SMMI), but not fat mass index, percent body fat, and bone mineral content index. The compositional isotemporal substitution analyses consistently showed that increasing MVPA at the expenses of SB was positively associated with FFMI (+0.328 kg/m2, 95% CI: 0.063~0.593), SLMI (+0.317 kg/m2, 95% CI: 0.067~0.567), and SMMI (+0.254 kg/m2, 95% CI: 0.091~0.417). These associations were asymmetrical: the predicted benefits to body composition from substituting SB with MVPA were smaller than the predicted detriments related to decreasing MVPA of the same magnitude.

Conclusions

The findings highlight the importance of MVPA in improving preschoolers’ body composition. Increasing MVPA at the expenses of SB may be a strategy to improve body composition in preschoolers.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Asymmetry in predicted changes in body composition when reallocating time from or to MVPA.

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request and with permission from all involved institutions.

References

  1. Rollo S, Antsygina O, Tremblay MS. The whole day matters: understanding 24-hour movement guideline adherence and relationships with health indicators across the lifespan. J Sport Health Sci. 2020;9:493–510.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Fu J, Sun S, Zhu S, Wang R, Chen D, Chen R et al. Relationship between 24-h activity behavior and body fat percentage in preschool children: based on compositional data and isotemporal substitution analysis. BMC Public Health. 2024;24:1063.

  3. Leppänen MH, Henriksson P, Delisle Nyström C, Henriksson H, Ortega FB, Pomeroy J, et al. Longitudinal physical activity, body composition, and physical fitness in preschoolers. Med Sci Sports Exerc. 2017;49:2078–85.

    Article  PubMed  Google Scholar 

  4. Wyszynska J, Matlosz P, Szybisty A, Lenik P, Deren K, Mazur A et al. Obesity and body composition in preschool children with different levels of actigraphy-derived physical activity-a cross-sectional study. J Clin Med. 2020;9:1210.

  5. Wyszynska J, Matlosz P, Asif M, Szybisty A, Lenik P, Deren K, et al. Association between objectively measured body composition, sleep parameters and physical activity in preschool children: a cross-sectional study. BMJ Open. 2021;11:e042669.

    Article  PubMed  Google Scholar 

  6. Leppänen MH, Nyström CD, Henriksson P, Pomeroy J, Ruiz JR, Ortega FB, et al. Physical activity intensity, sedentary behavior, body composition and physical fitness in 4-year-old children: results from the ministop trial. Int J Obes. 2016;40:1126–33.

    Article  Google Scholar 

  7. Serrano-Gallen G, Arias-Palencia NM, Gonzalez-Villora S, Gil-Lopez V, Solera-Martinez M. The relationship between physical activity, physical fitness and fatness in 3-6 years old boys and girls: a cross-sectional study. Transl Pediatr. 2022;11:1095–104.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Poitras VJ, Gray CE, Janssen X, Aubert S, Carson V, Faulkner G, et al. Systematic review of the relationships between sedentary behaviour and health indicators in the early years (0-4 years). BMC Public Health. 2017;17:868.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Wiersma R, Haverkamp BF, Beek JH, Riemersma AMJ, Boezen HM, Smidt N et al. Unravelling the association between accelerometer-derived physical activity and adiposity among preschool children: a systematic review and meta-analyses. Obesity Rev. 2019;21:e12936.

  10. Collings PJ, Brage S, Ridgway CL, Harvey NC, Godfrey KM, Inskip HM, et al. Physical activity intensity, sedentary time, and body composition in preschoolers. Am J Clin Nutr. 2013;97:1020–8.

    Article  CAS  PubMed  Google Scholar 

  11. Carson V, Lee EY, Hewitt L, Jennings C, Hunter S, Kuzik N, et al. Systematic review of the relationships between physical activity and health indicators in the early years (0-4 years). BMC Public Health. 2017;17:854.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Carson V, Tremblay MS, Chaput JP, Chastin SF. Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses. Appl Physiol Nutr Metab. 2016;41:S294–302.

    Article  PubMed  Google Scholar 

  13. Lu Z, Qu X, Chang J, Xu M, Song G, Wang X, et al. Reallocation of time between preschoolers’ 24-h movement behaviours and executive functions: a compositional data analysis. J Sports Sci. 2023;41:1187–95.

    Article  PubMed  Google Scholar 

  14. Migueles JH, Delisle Nyström C, Dumuid D, Leppänen MH, Henriksson P, Löf M. Longitudinal associations of movement behaviours with body composition and physical fitness from 4 to 9 years of age: structural equation and mediation analysis with compositional data. Int J Behav Nutr Phys Activity 2023;20:11.

  15. Walmsley R, Chan S, Smith-Byrne K, Ramakrishnan R, Woodward M, Rahimi K, et al. Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease. Br J Sports Med. 2021;56:1008–17.

  16. Taylor RW, Haszard JJ, Meredith-Jones KA, Galland BC, Heath AM, Lawrence J, et al. 24-h movement behaviors from infancy to preschool: cross-sectional and longitudinal relationships with body composition and bone health. Int J Behav Nutr Phys Act. 2018;15:118.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Carson V, Tremblay MS, Chastin SFM. Cross-sectional associations between sleep duration, sedentary time, physical activity, and adiposity indicators among Canadian preschool-aged children using compositional analyses. BMC Public Health. 2017;17:848.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Orsso CE, Tibaes JRB, Oliveira CLP, Rubin DA, Field CJ, Heymsfield SB, et al. Low muscle mass and strength in pediatrics patients: why should we care?. Clin Nutr. 2019;38:2002–15.

    Article  PubMed  Google Scholar 

  19. WHO Child Growth Standards. Dev Med Child Neurol. 2009;51:1002.

  20. Pate RR, Almeida MJ, McIver KL, Pfeiffer KA, Dowda M. Validation and calibration of an accelerometer in preschool children. Obesity. 2006;14:2000–6.

    Article  PubMed  Google Scholar 

  21. Lu Z, Guo J, Liu C, Wu J, Zhao C, Wang F, et al. Reallocation of time to moderate-to-vigorous physical activity and estimated changes in physical fitness among preschoolers: a compositional data analysis. BMC Public Health. 2024;24:2823.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Choi L, Liu Z, Matthews CE, Buchowski MS. Validation of accelerometer wear and nonwear time classification algorithm. Med Sci Sports Exerc. 2011;43:357–64.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Trost SG, Fees BS, Haar SJ, Murray AD, Crowe LK. Identification and validity of accelerometer cut-points for toddlers. Obesity. 2012;20:2317–9.

    Article  PubMed  Google Scholar 

  24. ActiGraph. How are Cut Points Calculated? ActiGraph Support, 2020. Available at: https://actigraphcorp.my.site.com/support/s/article/How-are-Cut-Points-Calculated.

  25. Quan M, Zhang H, Zhang J, Zhou T, Zhang J, Zhao G, et al. Are preschool children active enough in Shanghai: an accelerometer-based cross-sectional study. BMJ Open. 2019;9:e024090.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Liu J, Liu G, Wu Y, Shan X, Cheng H, Mi J. Validation of bioelectrical impedance analysis in measuring body composition of children aged from 3 to 6. Chin J Appl Clin Pediatr. 2021;36:104–8.

    Google Scholar 

  27. Dumuid D, Wake M, Clifford S, Burgner D, Carlin JB, Mensah FK, et al. The association of the body composition of children with 24-hour activity composition. J Pediatr. 2019;208:43–49.e9.

    Article  PubMed  Google Scholar 

  28. Dumuid D, Stanford TE, Martin-Fernandez JA, Pedisic Z, Maher CA, Lewis LK, et al. Compositional data analysis for physical activity, sedentary time and sleep research. Stat Methods Med Res. 2018;27:3726–38.

    Article  PubMed  Google Scholar 

  29. Marks BL, Rippe JM. The importance of fat free mass maintenance in weight loss programmes. Sports Med. 1996;22:273–81.

    Article  CAS  PubMed  Google Scholar 

  30. Westerterp KR, Yamada Y, Sagayama H, Ainslie PN, Andersen LF, Anderson LJ, et al. Physical activity and fat-free mass during growth and in later life. Am J Clin Nutr. 2021;114:1583–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Migueles JH, Delisle Nystrom C, Leppanen MH, Henriksson P, Lof M. Revisiting the cross-sectional and prospective association of physical activity with body composition and physical fitness in preschoolers: a compositional data approach. Pediatr Obes. 2022;17:e12909.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Fairclough SJ, Dumuid D, Taylor S, Curry W, McGrane B, Stratton G, et al. Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data. Int J Behav Nutr Phys Act. 2017;14:64.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Phillips SM, Clevenger KA, Bruijns BA, Tucker P, Vanderloo LM, Loh A et al. Effect of accelerometer cut-points on preschoolers’ physical activity and sedentary time: a systematic review and meta-analysis. J Measur Phys Behav. 2024;7:jmpb.2023-0060.

  34. WHO. WHO Guidelines on Physical Activity, Sedentary Behaviour and Sleep for Children Under 5 Years of Age. WHO; 2019.

  35. Sartori R, Romanello V, Sandri M. Mechanisms of muscle atrophy and hypertrophy: implications in health and disease. Nat Commun. 2021;12:330.

  36. Meng Z-X, Gong J, Chen Z, Sun J, Xiao Y, Wang L, et al. Glucose sensing by skeletal myocytes couples nutrient signaling to systemic homeostasis. Mol Cell. 2017;66:332–344.e4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Lim C, Nunes EA, Currier BS, McLeod JC, Thomas ACQ, Phillips SM. An evidence-based narrative review of mechanisms of resistance exercise–induced human skeletal muscle hypertrophy. Med Sci Sports Exerc. 2022;54:1546–59.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Frontera WR, Ochala J. Skeletal muscle: a brief review of structure and function. Calcif Tissue Int. 2015;96:183–95.

    Article  CAS  PubMed  Google Scholar 

  39. Francaux M, Deldicque L. Exercise and the control of muscle mass in human. Pflug Arch. 2019;471:397–411.

    Article  CAS  Google Scholar 

  40. Pedersen BK, Febbraio MA. Muscles, exercise and obesity: skeletal muscle as a secretory organ. Nat Rev Endocrinol. 2012;8:457–65.

    Article  CAS  PubMed  Google Scholar 

  41. Severinsen MCK, Pedersen BK. Muscle-organ crosstalk: the emerging roles of myokines. Endocr Rev. 2020;41:594–609.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Decraene M, Verbestel V, Cardon G, Iotova V, Koletzko B, Moreno LA et al. Compliance with the 24-hour movement behavior guidelines and associations with adiposity in European preschoolers: results from the ToyBox-study. Int J Environ Res Public Health. 2021;18:7499.

  43. Burgi F, Meyer U, Granacher U, Schindler C, Marques-Vidal P, Kriemler S, et al. Relationship of physical activity with motor skills, aerobic fitness and body fat in preschool children: a cross-sectional and longitudinal study (Ballabeina). Int J Obes. 2011;35:937–44.

    Article  CAS  Google Scholar 

  44. Chaput JP, Colley RC, Aubert S, Carson V, Janssen I, Roberts KC, et al. Proportion of preschool-aged children meeting the Canadian 24-Hour Movement Guidelines and associations with adiposity: results from the Canadian Health Measures Survey. BMC Public health. 2017;17:829.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Ng E, Wake M, Olds T, Lycett K, Edwards B, Le H et al. Equivalence curves for healthy lifestyle choices. Pediatrics. 2021;147:e2020025395.

  46. Dumuid D, Stanford TE, Pedisic Z, Maher C, Lewis LK, Martin-Fernandez JA, et al. Adiposity and the isotemporal substitution of physical activity, sedentary time and sleep among school-aged children: a compositional data analysis approach. BMC Public Health. 2018;18:311.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Dumuid D, Simm P, Wake M, Burgner D, Juonala M, Wu F, et al. The “Goldilocks Day” for children’s skeletal health: compositional data analysis of 24-hour activity behaviors. J Bone Min Res. 2020;35:2393–403.

    Article  Google Scholar 

  48. Chastin SF, Palarea-Albaladejo J, Dontje ML, Skelton DA. Combined effects of time spent in physical activity, sedentary behaviors and sleep on obesity and cardio-metabolic health markers: a novel compositional data analysis approach. PLoS One. 2015;10:e0139984.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Gao W, Zhang Y, Wu D, Dong Y, Liu N, Wang H. Compliance with health-related behaviors guidelines and its relationship with multiple factors in preschool children aged 3-6 years: a national cross-sectional survey in China. Int J Environ Res Public Health 2022;19:1262.

  50. Guo J, Lu Z, Bao Y, Chang J, Zhang H, Wang F, et al. Physical fitness is associated with fat mass and muscle mass in Chinese preschoolers. BMC public health. 2025;25:2304.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Henriksson P, Cadenas-Sanchez C, Leppanen MH, Delisle Nystrom C, Ortega FB, Pomeroy J et al. Associations of fat mass and fat-free mass with physical fitness in 4-year-old children: results from the MINISTOP trial. Nutrients. 2016;8:473.

  52. Liao Z, Wang J, Chen Y, Li W, Xie X, Zhang T, et al. Associations of body mass index growth rates and body composition with cardiometabolic risks in chinese preschool children. J Clin Endocrinol Metab. 2025;110:e1439–e1450.

    Article  CAS  PubMed  Google Scholar 

  53. Lundgren O, Henriksson P, Delisle Nystrom C, Silfvernagel K, Lof M. Hyperactivity is associated with higher fat-free mass and physical activity in Swedish preschoolers: A cross-sectional study. Acta Paediatr. 2021;110:1273–80.

    Article  CAS  PubMed  Google Scholar 

  54. Yamada Y, Sagayama H, Yasukata J, Uchizawa A, Itoi A, Yoshida T, et al. Association between water and energy requirements with physical activity and fat-free mass in preschool children in Japan. Nutrients. 2021;13:4169.

Download references

Acknowledgements

We would like to sincerely thank the contributions of all the participants and research staff of the study. No financial compensation was provided. Special thanks should be given to Prof. Jian Wang for his kindly and helpful guidance on this project.

Funding

This work was supported by Beijing Finance Bureau (CIP2024-0040); Open Project Fund from Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China (MEKLCEPP/SXMU-202408); Beijing Postdoctoral Research Foundation; Beijing Chaoyang District Postdoctoral Research Foundation; and Supported by New Quality Fund of Capital Institute of Pediatrics (XZDX-2025-007). The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Author information

Authors and Affiliations

Contributions

WF conceptualized and designed the study, and critically reviewed and revised the manuscript. WS, GH, GJ, and BY contributed to study design and critically review and revise the manuscript. LZ conceptualized and designed the study, acquired study funding, coordinated and supervised data collection, carried out the initial analyses, drafted the initial manuscript, and critically review and revise the manuscript. CJ, ZC, CW, and ZH collected data, and critically reviewed and revised the manuscript for important intellectual content. NY, LJ, ZX, and HD collected data, coordinated and supervised data collection, and critically reviewed the manuscript. ZT and WJ conceptualized and designed the study, acquired study funding, and critically reviewed and revised the manuscript. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

Corresponding authors

Correspondence to Jianxin Wu or Fang Wang.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval

Ethical approval, in adherence to the principles outlined in the Declaration of Helsinki, was obtained from the Ethics Committee of the Capital Institute of Pediatrics (NO. SHERLL2021069).

Additional information

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

Supplementary information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lu, Z., Guo, J., Bao, Y. et al. Are reallocating time to moderate-to-vigorous physical activity associated with preschoolers’ body composition?. Int J Obes 50, 221–228 (2026). https://doi.org/10.1038/s41366-025-01939-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41366-025-01939-7

Search

Quick links