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dc.contributor.authorGába, Aleš
dc.contributor.authorHartwig, Timothy B.
dc.contributor.authorJašková, Paulína
dc.contributor.authorSanders, Taren
dc.contributor.authorDygrýn, Jan
dc.contributor.authorVencálek, Ondřej
dc.contributor.authorAntczak, Devan
dc.contributor.authorConigrave, James
dc.contributor.authorParker, Phillip
dc.contributor.authordel Pozo, Cruz Borja
dc.contributor.authorFairclough, Stuart J.
dc.contributor.authorHalson, Shona
dc.contributor.authorHron, Karel
dc.contributor.authorNoetel, Michael
dc.contributor.authorÁvila-García, Manuel
dc.contributor.authorCabanas-Sánchez, Veronica
dc.contributor.authorCavero-Redondo, Iván
dc.contributor.authorCurtis, Rachel G.
dc.contributor.authorda Costa, Bruno G. G.
dc.contributor.authordel Pozo-Cruz, Jesus
dc.contributor.authorGarcía-Hermoso, Antonio
dc.contributor.authorLeahy, Angus A.
dc.contributor.authorLubans, David R.
dc.contributor.authorMaher, Caro, A.
dc.contributor.authorMartínez-Gómez, David
dc.contributor.authorMeredith-Jones, Kim
dc.contributor.authorRedondo-Tébar, Andrés
dc.contributor.authorSabia, Séverine
dc.contributor.authorSilva, Kelly S.
dc.contributor.authorSkidmore, Paula
dc.contributor.authorVilla-González, Emilio
dc.contributor.authorYerramalla, Manasa S.
dc.contributor.authorLonsdale, Chris
dc.date.accessioned2025-01-10T11:46:34Z
dc.date.available2025-01-10T11:46:34Z
dc.date.issued2024
dc.identifier.citationGába, A., Hartwig, T. B., Jašková, P., Sanders, T., Dygrýn, J., Vencálek, O., Antczak, D., Conigrave, J., Parker, P., del Pozo, C. B., Fairclough, S. J., Halson, S., Hron, K., Noetel, M., Ávila-García, M., Cabanas-Sánchez, V., Cavero-Redondo, I., Curtis, R. G., da Costa, B. G.G., . . . Lonsdale, C. (2024). Reallocating Time Between 24-h Movement Behaviors for Obesity Management Across the Lifespan : A Pooled Data Meta-Analysis of More Than 9800 Participants from Seven Countries. <i>Sports Medicine</i>, <i>Early online</i>. <a href="https://doi.org/10.1007/s40279-024-02148-4" target="_blank">https://doi.org/10.1007/s40279-024-02148-4</a>
dc.identifier.otherCONVID_244950472
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/99370
dc.description.abstractBackground The distribution of time across physical activity, sedentary behaviors, and sleep appears to be essential for the management of obesity. However, the impact of reallocating time among these behaviors, collectively known as 24-h movement behaviors, remains underexplored. Objective This study examines the theoretical effects of reallocating time between 24-h movement behaviors on obesity indicators across different age groups. Methods We performed a pooled data meta-analysis of 9818 participants from 11 observational and experimental studies. To estimate the time spent in movement behaviors, we reprocessed and harmonized individual-level raw accelerometer-derived data. Isotemporal substitution models estimated theoretical changes in body mass index (BMI) and waist circumference (WC) associated with time reallocation between movement behaviors. We performed the analysis separately for children, adolescents, adults, and older adults. Results Even minor reallocations of 10 min led to significant changes in obesity indicators, with pronounced effects observed when 30 min were reallocated. The most substantial adverse effects on BMI and WC occurred when moderate-to-vigorous physical activity (MVPA) was reallocated to other movement behaviors. For 30-min reallocations, the largest increase in BMI (or BMI z-score for children) occurred when MVPA was reallocated to light-intensity physical activity (LPA) in children (0.26 units, 95% confidence interval [CI] 0.15, 0.37) and to sedentary behavior (SB) in adults (0.72 kg/m2, 95% CI 0.47, 0.96) and older adults (0.73 kg/m2, 95% CI 0.59, 0.87). The largest increase in WC was observed when MVPA was substituted with LPA in adults (2.66 cm, 95% CI 1.42, 3.90) and with SB in older adults (2.43 cm, 95% CI 2.07, 2.79). Conversely, the highest magnitude of the decrease in obesity indicators was observed when SB was substituted with MVPA. Specifically, substituting 30 min of SB with MVPA was associated with a decrease in BMI z-score by − 0.15 units (95% CI − 0.21, − 0.10) in children and lower BMI by − 0.56 kg/m2 (95% CI − 0.74, − 0.39) in adults and by − 0.52 kg/m2 (95% CI − 0.61, − 0.43) in older adults. Reallocating time away from sleep and LPA showed several significant changes but lacked a consistent pattern. While the predicted changes in obesity indicators were generally consistent across age groups, inconsistent findings were observed in adolescents, particularly for reallocations between MVPA and other behaviors. Conclusions This investigation emphasizes the crucial role of MVPA in mitigating obesity risk across the lifespan, and the benefit of substituting SB with low-intensity movement behaviors. The distinct patterns observed in adolescents suggest a need for age-specific lifestyle interventions to effectively address obesity. Emphasizing manageable shifts, such as 10-min reallocations, could have significant public health implications, promoting sustainable lifestyle changes that accommodate individuals with diverse needs, including those with severe obesity.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.ispartofseriesSports Medicine
dc.rightsCC BY 4.0
dc.titleReallocating Time Between 24-h Movement Behaviors for Obesity Management Across the Lifespan : A Pooled Data Meta-Analysis of More Than 9800 Participants from Seven Countries
dc.typereview article
dc.identifier.urnURN:NBN:fi:jyu-202501101141
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_dcae04bc
dc.description.reviewstatuspeerReviewed
dc.relation.issn0112-1642
dc.relation.volumeEarly online
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2024
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.subject.ysopainoindeksi
dc.subject.ysoylipaino
dc.subject.ysofyysinen aktiivisuus
dc.subject.ysoelämäntapa
dc.subject.ysopainonhallinta
dc.subject.ysoliikkumattomuus
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p21142
jyx.subject.urihttp://www.yso.fi/onto/yso/p826
jyx.subject.urihttp://www.yso.fi/onto/yso/p23102
jyx.subject.urihttp://www.yso.fi/onto/yso/p8760
jyx.subject.urihttp://www.yso.fi/onto/yso/p822
jyx.subject.urihttp://www.yso.fi/onto/yso/p24012
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/s40279-024-02148-4
jyx.fundinginformationThis study was supported by grants from the Czech Science Foundation (18-09188S and 22-02392S). ART and ICR are supported by the Ministry of Economy and Competitiveness-Carlos III Health Institute (FIS PI19/01919). BPC was supported by the Government of Andalusia (Spain), Research Talent Recruitment Program (EMERGIA 2020/00158). CM is funded by the National Health and Medical Research Council Australia, project grant (APP1080186). DL is funded by the National Health and Medical Research Council Australia (APP1120518) and the New South Wales Department of Education School Sport Unit. EVG and MAG are supported by the Spanish Ministry of Economy and Competitiveness (DEP2015-63988-R, MINECO-FEDER). JPC is supported by the Development and Innovation Programme (PAIDI P20_1181) of the Government of Andalusia and Ministry of Universities (22330) and the European Union—NextGenerationEU program for the requalification of university teaching staff. KMJ and PS are supported by the University of Otago (Grant number ORG 0114–1015) and National Heart Foundation of New Zealand (Grant number 1618). SS is supported by the French National Research Agency (ANR-19-CE36-0004-01) and by the European Union (ERC, RHYTHM IN DEMENTIA, 101043884). The Whitehall II study has been supported by grants from the National Institute on Aging, National Institutes of Health (R01AG056477, RF1AG062553), UK Medical Research Council (R024227, S011676, K013351), the British Heart Foundation (RG/16/11/32334), and the Wellcome Trust (221854/Z/20/Z). The funding of the Seniors-ENRICA-2 study (DMG and VCS) was obtained from grants FIS 22/01111, PI23/00663, and PMP22/00002 from the Carlos III Health Institute (ISCIII), the State Secretary of R + D + I, and the Pluri-regional program Spain ERDF 2021–2027, the MCIN/AEI/10.13039/501100011033 and the European Union “NextGenerationEU/PRTR” (PLEC2022-009352 grant), and the ISCIII-CDTI and the European Union “NextGenerationEU/PRTR” (PMPTA22/00107 grant).
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