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dc.contributor.authorKari, Jaana T.
dc.contributor.authorNerg, Iiro
dc.contributor.authorHuikari, Sanna
dc.contributor.authorLeinonen, Anna-Maiju
dc.contributor.authorNurkkala, Marjukka
dc.contributor.authorFarrahi, Vahid
dc.contributor.authorKorpelainen, Raija
dc.contributor.authorKorhonen, Marko
dc.date.accessioned2023-01-17T11:03:00Z
dc.date.available2023-01-17T11:03:00Z
dc.date.issued2023
dc.identifier.citationKari, J. T., Nerg, I., Huikari, S., Leinonen, A.-M., Nurkkala, M., Farrahi, V., Korpelainen, R., & Korhonen, M. (2023). The Individual-level Productivity Costs of Physical Inactivity. <i>Medicine and Science in Sports and Exercise</i>, <i>55</i>(2), 255-263. <a href="https://doi.org/10.1249/mss.0000000000003037" target="_blank">https://doi.org/10.1249/mss.0000000000003037</a>
dc.identifier.otherCONVID_156662271
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/85061
dc.description.abstractPurpose This study estimated the long-term individual-level productivity costs of physical inactivity. Methods The data were drawn from the Northern Finland Birth Cohort 1966, to which the productivity cost variables (sick leaves and disability pensions) from Finnish registries were linked. Individuals (N = 6,261) were categorized into physical activity groups based on their level of physical activity, which was measured in three ways: 1) self-reported leisure-time moderate-to-vigorous physical activity (MVPA) at age 46, 2) longitudinal self-reported leisure-time MVPA at ages 31–46, and 3) accelerometer-measured overall MVPA at age 46. The human capital approach was applied to calculate the observed costs (years 2012–2020) and the expected costs (years 2012–2031). Results The results showed that the average individual-level productivity costs were higher among physically inactive compared with the costs among physically active. The results were consistent regardless of the measurement type of physical activity or the period used. On average, the observed long-term productivity costs among physically inactive individual were €1,900 higher based on self-reported MVPA, €1,800 higher based on longitudinal MVPA, and €4,300 higher based on accelerometer-measured MVPA compared with the corresponding productivity costs among physically active individuals. The corresponding difference in the expected costs were €2,800, €1,200, and €8,700, respectively. Conclusions The results provide evidence that productivity costs differ according to an individual’s level of physical activity. Therefore, investments in physical activity may decrease not only the direct healthcare costs but also the indirect productivity costs paid by the employee, the employer, and the government.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherLippincott Williams & Wilkins
dc.relation.ispartofseriesMedicine and Science in Sports and Exercise
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherindirect costs
dc.subject.otherphysical activity
dc.subject.otheractivity monitor
dc.subject.otherhuman capital approach
dc.subject.othercohort study
dc.subject.otherregister-based data
dc.titleThe Individual-level Productivity Costs of Physical Inactivity
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202301171363
dc.contributor.laitosKauppakorkeakoulufi
dc.contributor.laitosSchool of Business and Economicsen
dc.contributor.oppiaineTaloustiedefi
dc.contributor.oppiaineEmpirical Microeconomicsfi
dc.contributor.oppiainePäätöksentekoa tukeva taloustiede ja talouden kilpailukyky (painoala)fi
dc.contributor.oppiaineEconomicsen
dc.contributor.oppiaineEmpirical Microeconomicsen
dc.contributor.oppiainePolicy-Relevant Economics and Competitiveness of Economy (focus area)en
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange255-263
dc.relation.issn0195-9131
dc.relation.numberinseries2
dc.relation.volume55
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American College of Sports Medicine.
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.subject.ysojoutilaisuus
dc.subject.ysoliikunta
dc.subject.ysohenkinen pääoma
dc.subject.ysofyysinen aktiivisuus
dc.subject.ysotuottavuus
dc.subject.ysokohorttitutkimus
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p8123
jyx.subject.urihttp://www.yso.fi/onto/yso/p916
jyx.subject.urihttp://www.yso.fi/onto/yso/p9328
jyx.subject.urihttp://www.yso.fi/onto/yso/p23102
jyx.subject.urihttp://www.yso.fi/onto/yso/p4259
jyx.subject.urihttp://www.yso.fi/onto/yso/p25606
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1249/mss.0000000000003037
jyx.fundinginformationThis study has been financially supported by the Ministry of Education and Culture (OKM/86/626/2014, OKM/43/626/2015, OKM/17/626/2016, OKM/54/626/2019, OKM/85/626/2019, OKM/1096/626/2020, OKM/64/626/2020, OKM/1105/626/2020, OKM/91/626/2021, OKM/20/626/2022). VF has received funding from DigiHealth-project, a strategic profiling project at the University of Oulu, which is supported by the Academy of Finland (project number 326291). MN 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. NFBC1966 has 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.
dc.type.okmA1


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