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dc.contributor.authorPérez‐Prieto, Inmaculada
dc.contributor.authorMigueles, Jairo H.
dc.contributor.authorMolina, Nerea M.
dc.contributor.authorSola‐Leyva, Alberto
dc.contributor.authorSalas‐Espejo, Eduardo
dc.contributor.authorArffman, Riikka K.
dc.contributor.authorNurkkala, Marjukka
dc.contributor.authorNiemelä, Maisa
dc.contributor.authorLüll, Kreete
dc.contributor.authorOrg, Elin
dc.contributor.authorFranks, Stephen
dc.contributor.authorTapanainen, Juha S.
dc.contributor.authorSalumets, Andres
dc.contributor.authorPiltonen, Terhi T.
dc.contributor.authorOrtega, Francisco B.
dc.contributor.authorAltmäe, Signe
dc.date.accessioned2024-07-02T07:23:06Z
dc.date.available2024-07-02T07:23:06Z
dc.date.issued2024
dc.identifier.citationPérez‐Prieto, I., Migueles, Jairo H., Molina, Nerea M., Sola‐Leyva, A., Salas‐Espejo, E., Arffman, Riikka K., Nurkkala, M., Niemelä, M., Lüll, K., Org, E., Franks, S., Tapanainen, Juha S., Salumets, A., Piltonen, Terhi T., Ortega, Francisco B., & Altmäe, S. (2024). Association of Accelerometer‐Determined Physical Activity and Sedentary Behavior With the Gut Microbiome in Middle‐Aged Women : A Compositional Data Approach. <i>Scandinavian Journal of Medicine and Science in Sports</i>, <i>34</i>(7), Article e14689. <a href="https://doi.org/10.1111/sms.14689" target="_blank">https://doi.org/10.1111/sms.14689</a>
dc.identifier.otherCONVID_220929733
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/96270
dc.description.abstractThe beneficial effects of physical activity (PA) on gut microbiome have been reported, nevertheless the findings are inconsistent, with the main limitation of subjective methods for assessing PA. It is well accepted that using an objective assessment of PA reduces the measurement error and also allows objective assessment of sedentary behavior (SB). We aimed to study the associations between accelerometer-assessed behaviors (i.e., SB, light-intensity physical activity [LPA] and moderate-to-vigorous physical activity [MVPA]) with the gut microbiome using compositional data analysis, a novel approach that enables to study these behaviors accounting for their inter-dependency. This cross-sectional study included 289 women from the Northern Finland Birth Cohort 1966. Physical activity was measured during 14 days by wrist-worn accelerometers. Analyses based on the combined effect of MVPA and SB, and compositional data analyses in association with the gut microbiome data were performed. The microbial alpha- and beta-diversity were not significantly different between the MVPA-SB groups, and no differentially abundant microorganisms were detected. Compositional data analysis did not show any significant associations between any movement behavior (relative to the others) on microbial alpha-diversity. Butyrate-producing bacteria such as Agathobacter and Lachnospiraceae CAG56 were significantly more abundant when reallocating time from LPA or SB to MVPA (γ = 0.609 and 0.113, both p-values = 0.007). While PA and SB were not associated with microbial diversity, we found associations of these behaviors with specific gut bacteria, suggesting that PA of at least moderate intensity (i.e., MVPA) could increase the abundance of short-chain fatty acid–producing microbes.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofseriesScandinavian Journal of Medicine and Science in Sports
dc.rightsCC BY-NC 4.0
dc.subject.otheraccelerometry
dc.subject.otherexercise
dc.subject.othergut microbiota
dc.subject.othermoderate-to-vigorous physical activity
dc.subject.othershort- chain fatty acids
dc.titleAssociation of Accelerometer‐Determined Physical Activity and Sedentary Behavior With the Gut Microbiome in Middle‐Aged Women : A Compositional Data Approach
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202407025099
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.issn0905-7188
dc.relation.numberinseries7
dc.relation.volume34
dc.type.versionpublishedVersion
dc.rights.copyright© 2024 The Author(s). Scandinavian Journal of Medicine & Science In Sports published by John Wiley & Sons Ltd.
dc.rights.accesslevelopenAccessfi
dc.subject.ysoharjoitukset
dc.subject.ysofyysinen aktiivisuus
dc.subject.ysosuolistomikrobisto
dc.subject.ysorasvahapot
dc.subject.ysokuntoliikunta
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p13335
jyx.subject.urihttp://www.yso.fi/onto/yso/p23102
jyx.subject.urihttp://www.yso.fi/onto/yso/p37925
jyx.subject.urihttp://www.yso.fi/onto/yso/p4800
jyx.subject.urihttp://www.yso.fi/onto/yso/p3708
dc.rights.urlhttps://creativecommons.org/licenses/by-nc/4.0/
dc.relation.doi10.1111/sms.14689
jyx.fundinginformationThis study was supported by NFBC1966 received financial support from University of Oulu Grant No. 24000692, Oulu University Hospital Grant No. 24301140, ERDF European Regional Development Fund Grant No. 539/2010 A31592. This work was supported by the projects PID2020-120249RB-100, Endo-Map PID2021-12728OB-100, and ROSY CNS2022-135999 funded by MICIU/AEI/ 10.13039/501100011033 and by FEDER, EU; FEDER/Junta de Andalucía-Consejería de Economía y Conocimiento P20_00124; Unidad de excelencia SOMM17/6107/UGR funded by Plan Propio de Investigación/Universidad de Granada; N.M.M and I.P.-P are supported by grants FPU19/01638 and FPU19/05561, funded by MCIN/AEI/ 10.13039/501100011033 and FSE “El FSE invierte en tu futuro”; M.Nu. has received funding from Fibrobesity-project, a strategic profiling project at the University of Oulu, which is supported by the Academy of Finland Profi6 336449; T.T.P is supported by the Finnish Research Council, Sigrid Jusélius foundation and Novonordisk; A.S. is supported by the Estonian Research Council (Grant PRG1076) and Horizon 2020 innovation grant (ERIN, Grant No. EU952516). Funding for open access charge: Universidad de Granada/CBUA.
dc.type.okmA1


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