Näytä suppeat kuvailutiedot

dc.contributor.authorMigueles, Jairo H.
dc.contributor.authorNyström, Christine Delisle
dc.contributor.authorDumuid, Dorothea
dc.contributor.authorLeppänen, Marja H.
dc.contributor.authorHenriksson, Pontus
dc.contributor.authorLöf, Marie
dc.date.accessioned2023-04-19T10:27:52Z
dc.date.available2023-04-19T10:27:52Z
dc.date.issued2023
dc.identifier.citationMigueles, J. H., Nyström, C. D., Dumuid, D., Leppänen, M. H., Henriksson, P., & Löf, M. (2023). 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. <i>International Journal of Behavioral Nutrition and Physical Activity</i>, <i>20</i>, Article 11. <a href="https://doi.org/10.1186/s12966-023-01417-1" target="_blank">https://doi.org/10.1186/s12966-023-01417-1</a>
dc.identifier.otherCONVID_182766170
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/86434
dc.description.abstractBackground The associations of movement behaviours (physical activity [PA], sedentary behaviour [SB], and sleep) with body composition and physical fitness from pre-school to childhood, as well as the direction of the associations, could provide important information for healthy lifestyle promotion in children. This study investigated the longitudinal and bidirectional associations of movement behaviours with body composition and physical fitness measured at 4 and 9 years of age. Methods This longitudinal study included baseline (n = 315, 4.5 [SD = 0.1] years) and follow-up data (n = 231, 9.6 [SD = 0.1] years) from the MINISTOP study. Movement behaviours were measured for 7 days using wrist-worn accelerometers, body composition with air-displacement plethysmography, and physical fitness with the ALPHA health-related fitness test battery. Cross-lagged panel models and mediation analyses were performed in combination with compositional data analysis. Results We did not observe direct associations of the movement behaviours at 4 years with either body composition or physical fitness at 9 years (all P > 0.05). However, fat mass index at 4 years was negatively associated with vigorous PA (VPA), relative to remaining behaviours (VPA, β = − 0.22, P = 0.002) and light PA (LPA), relative to SB and sleep (β = − 0.19, P = 0.016) at 9 years. VPA (relative to remaining), moderate PA (MPA) (relative to LPA, SB, and sleep), and SB (relative to sleep) tracked from 4 to 9 years (all β ≥ 0.17, all P < 0.002), and these behaviours shared variance with fat mass index (all|β| ≥ 0.19, all P < 0.019), and aerobic, motor, and muscular fitness (all|β| ≥ 0.19, all P < 0.014) at 9 years. Mediation analysis suggested that the tracking of VPA (relative to remaining behaviours) from 4 to 9 years was negatively associated with fat mass index (β ≥ − 0.45, P = 0.012), and positively with aerobic fitness at 9 years (β ≥ 1.64, P = 0.016). Conclusion PA and SB tracked from the pre-school years into childhood. Fat mass index at 4 years of age was negatively associated with VPA (relative to remaining behaviours) and LPA (relative to SB and sleep) at 9 years of age. The tracking of VPA was associated with lower fat mass index and higher aerobic fitness at 9 years of age. These findings suggest that higher levels of VPA in pre-school age, if maintained throughout childhood, may support the development of healthy body composition and aerobic fitness levels in later childhood.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherBiomed Central
dc.relation.ispartofseriesInternational Journal of Behavioral Nutrition and Physical Activity
dc.rightsCC BY 4.0
dc.titleLongitudinal 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
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202304192553
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1479-5868
dc.relation.volume20
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2023
dc.rights.accesslevelopenAccessfi
dc.subject.ysolapset (ikäryhmät)
dc.subject.ysofyysinen kunto
dc.subject.ysofyysinen aktiivisuus
dc.subject.ysopitkittäistutkimus
dc.subject.ysokehonkoostumus
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p4354
jyx.subject.urihttp://www.yso.fi/onto/yso/p7384
jyx.subject.urihttp://www.yso.fi/onto/yso/p23102
jyx.subject.urihttp://www.yso.fi/onto/yso/p14610
jyx.subject.urihttp://www.yso.fi/onto/yso/p26989
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1186/s12966-023-01417-1
jyx.fundinginformationOpen access funding provided by Karolinska Institute. The MINISTOP project was funded by the Swedish Research Council (project no. 2012–2883, Marie Löf), the Swedish Research Council for Health, Working Life and Welfare (2012–0906, Marie Löf; 2021–00036, Jairo H Migueles), Bo and Vera Axson Johnsons Foundation and Karolinska Institutet (Marie Löf, Jairo H Migueles), and the Joanna Cocozza Foundation (Marie Löf). Dorothea Dumuid was supported by the Australian National Health and Medical Research Council (NHMRC) Early Career Fellowship (APP1162166). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
dc.type.okmA1


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