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[{"key": "dc.contributor.advisor", "value": "Tarkka, Ina", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Slotte-Jana, Mariann", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2016-02-16T18:28:53Z", "language": "", "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2016-02-16T18:28:53Z", "language": "", "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2016", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.other", "value": "oai:jykdok.linneanet.fi:1522441", "language": null, "element": "identifier", "qualifier": "other", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/48803", "language": "", "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Mariann Slotte-Jana (2016). Vapaa-ajan fyysisen aktiivisuuden yhteys painoindeksiin ja kehon rasvaprosenttiin \u2013 aineistojen yhdist\u00e4minen. Terveystieteiden laitos. Jyv\u00e4kyl\u00e4n yliopisto, liikuntal\u00e4\u00e4ketieteen pro gradu \u2013tutkielma, 46 s., 4 liitett\u00e4. \r\nFyysisen aktiivisuuden m\u00e4\u00e4r\u00e4n selvitt\u00e4miseksi k\u00e4ytet\u00e4\u00e4n useita erilaisia kyselyj\u00e4, mik\u00e4 hankaloittaa tulosten tarkastelua eri tutkimusten v\u00e4lill\u00e4. T\u00e4m\u00e4n tutkielman tarkoituksena oli selvitt\u00e4\u00e4 voidaanko erilaisilla vapaa-ajan liikunta-aktiivisuuskyselyill\u00e4 mitattua fyysisen aktiivisuuden m\u00e4\u00e4r\u00e4\u00e4 luokitella yhdenmukaisesti ja onko luokilla yhteys painoindeksiin ja kehon rasvaprosenttiin yksitt\u00e4isi\u00e4 aineistoja analysoitaessa. Tutkielmassa my\u00f6s yhdistettiin luokitellut aineistot ja analysoitiin yhdistetyst\u00e4 aineistosta aktiivisuusluokkien yhteys painoindeksiin ja rasvaprosenttiin sen selvitt\u00e4miseksi, vaikuttaako otoskoon suurentaminen mahdollisen tilastollisen yhteyden l\u00f6ytymiseen. Lis\u00e4ksi analysoitiin sek\u00e4 yksitt\u00e4isist\u00e4 aineistoista ett\u00e4 yhdistetyst\u00e4 aineistosta nuoruusi\u00e4n kilpaurheilutaustan yhteys painoindeksiin, rasvaprosenttiin ja fyysisen aktiivisuuden luokkaan aikuisi\u00e4ll\u00e4. \r\nTutkielmassa k\u00e4ytettiin kahta aineistoa. Ensimm\u00e4inen aineisto oli per\u00e4isin FITFATTWIN -tutkimuksesta, joka koostui 46 32\u201337-vuotiaasta miehest\u00e4. Toinen aineisto oli per\u00e4isin \u201dIk\u00e4\u00e4ntyminen, aivot ja liikunta\u201d \u2013 tutkimuksesta, joka koostui 88 63\u201381 -vuotiaasta naisesta. Tutkimuksissa vapaa-ajan fyysinen aktiivisuus ja nuoruuden kilpaurheilutausta oli m\u00e4\u00e4ritetty erilaisilla kyselyll\u00e4 ja kehon rasvaprosentti DXA -mittauksen avulla. Analyysit suoritettiin IBM SPSS Statistics 20.0 -ohjelmalla sek\u00e4 erillisist\u00e4 aineistoista ett\u00e4 yhdistetyst\u00e4 aineistosta. \r\nKyselyill\u00e4 saadun fyysisen aktiivisuuden informaation perusteella tutkittavat oli mahdollista jakaa kahteen aktiivisuusluokkaan terveysliikuntasuosituksen mukaista raja-arvoa k\u00e4ytt\u00e4en. Analysoitaessa aineistoja erikseen oli v\u00e4hint\u00e4\u00e4n terveysliikuntasuositusten mukaisesti liikkuvilla sek\u00e4 painoindeksi ett\u00e4 rasvaprosentti matalampia kuin terveysliikuntasuositusta v\u00e4hemm\u00e4n liikkuvilla. Rasvaprosentin arvossa ero oli tilastollisesti merkitsev\u00e4sti (p=0,018) pienempi Ik\u00e4\u00e4ntyminen, aivot ja liikunta \u2013 aineistossa. Nuoruuden kilpaurheilutausta oli tilastollisesti merkitsev\u00e4sti yhteydess\u00e4 (p=0,009) matalampaan kehon rasvaprosenttiin FITFATTWIN -aineistossa. Painoindeksiin nuoruuden kilpaurheilutaustalla ei ollut tilastollisesti merkitsev\u00e4\u00e4 yhteytt\u00e4 kummassakaan aineistossa. Nuoruuden kilpaurheilutaustan yhteytt\u00e4 aktiivisuusluokkiin ei voitu yksitt\u00e4isiss\u00e4 aineistoissa analysoida aineistojen pienuuden vuoksi. \r\n\r\nAineistojen yhdist\u00e4misen j\u00e4lkeen sek\u00e4 painoindeksin ett\u00e4 rasvaprosentin arvot olivat tilastollisesti eritt\u00e4in merkitsev\u00e4sti pienempi\u00e4 (p<0,001) v\u00e4hint\u00e4\u00e4n terveysliikuntasuositusten mukaisesti liikkuvilla. Nuoruuden kilpaurheilutausta oli yhdistetyss\u00e4 aineistossa tilastollisesti merkitsev\u00e4sti yhteydess\u00e4 aikuisi\u00e4n painoindeksiin (p=0,032) ja tilastollisesti eritt\u00e4in merkitsev\u00e4sti (p<0,001) yhteydess\u00e4 rasvaprosentin arvoon aikuisi\u00e4ll\u00e4. Nuoruusi\u00e4n kilpaurheilutaustalla oli tilastollisesti merkitsev\u00e4 yhteys aikuisi\u00e4n aktiivisuusluokkaan (p=0,002).\r\nErilaisilla fyysisen aktiivisuuden kyselyill\u00e4 mitattu fyysisen aktiivisuuden m\u00e4\u00e4r\u00e4 on mahdollista luokitella yhdenmukaisesti siten, ett\u00e4 aineistojen yhdist\u00e4minen onnistuu. Tilastollisesti merkitsev\u00e4\u00e4 eroa eri aktiivisuusluokkien yhteydest\u00e4 painoindeksiin ja rasvaprosenttiin ei v\u00e4ltt\u00e4m\u00e4tt\u00e4 saada esiin pienemmiss\u00e4 aineistoissa, mutta aineistoja yhdistett\u00e4ess\u00e4 mahdolliset tilastollisesti merkitsev\u00e4t erot tulevat helpommin esiin. Tulevaisuudessa mahdollisuus pienempien tutkimusaineistojen yhdist\u00e4miseen voi olla merkitt\u00e4v\u00e4ss\u00e4 roolissa sellaisissa tutkimuksissa, joissa yksitt\u00e4isen aineiston otoskoko rajoittaa tilastollisen merkitsevyyden esille saamista. Aikaisemmin tehty\u00e4 tutkimusta erilaisilla kyselyill\u00e4 mitatun fyysisen aktiivisuuden yhdenmukaisesta luokittelusta ja yhdist\u00e4misest\u00e4 ei t\u00e4m\u00e4n tutkielman puitteissa l\u00f6ytynyt.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Mariann Slotte-Jana (2016). Free time physical activity association to body mass index and body fat percentage \u2013 combining data from several surveys. Department of Health Sciences, University of Jyv\u00e4skyl\u00e4, (Sports and Exercise Medicine), Master\u00b4s thesis, 46 pp, 4 appendices. \r\nMany different physical activity questionnaires have been developed to measure the amount of leisure time physical activity. This has led into a situation where comparison of physical activity level across studies and surveys is difficult. The purpose of this study was to find a way to categorize consistently the leisure time physical activity data collected with different questionnaires in different surveys and find out whether the averages of body mass index and fat percentage differ in these categories. The other purpose of this study was to combine the consistent categories and find out whether the increase in sample size affects the statistical significance. Furthermore the information of being a competition level athlete during adolescence was analyzed against adulthood body mass index (BMI), fat percentage and physical activity category from the included data as well as from combined data. \r\nThe data from two different surveys was used in this study. FITFATTWIN-data included 46 32 to 37 year old men and \u201cIk\u00e4\u00e4ntyminen ja aivot ja liikunta\u201d \u2013data included 88 63 to 81 year old women. In these surveys the leisure time physical activity was collected with different physical activity questionnaires. The body fat percentage was measured with DXA, and the BMI was calculated using the measured information of height and weight. All statistical analyses were performed using IBM SPSS 20.0. \r\nThe information collected by the physical activity questionnaires made it possible to divide the examinees into two groups using the physical activity recommendations (150 minutes of moderate intensity physical activity/week) as a threshold value. The results from the analysis of the two surveys data showed that examinees who\u2019s leisure time physical activity level was at least in the level of the recommendations were more likely to have lower BMI and fat percentage, compared to people whose activity level was less than the recommended level, though the difference was statistically significant only for fat percentage in \u201cIk\u00e4\u00e4ntyminen, aivot ja liikunta\u201d \u2013data (p=0,018). Being a competitive level athlete as an adolescent was statistically significantly associated (p=0,009) to fat percentage in FITFATTWIN data. Due to small sample size, the association between a competitive level athlete and the leisure time physical activity category where the individual was to be placed when reaching adulthood, could not be analyzed in either of the included data.\r\nAfter combining the materials, both BMI and fat percentage were significantly smaller (p<0,001) in the category where leisure time physical activity level was at least in the level of the physical activity recommendations. BMI (p=0,032) and fat percentage (p<0,001) were significantly smaller with those examinees who had been competition level athletes as adolescents. Furthermore, the one\u2019s having performed as competitive level athletes during their adolescence more often belonged into the category in where leisure time physical activity level was at least the recommended 150 minutes of moderate intensity physical activity weekly (p=0,002).\r\nAccording to this study the information from different free time physical activity questionnaires can be categorized consistently and combined. The statistical significance seems to become clearer when sample size is increased. In the future, the possibility to combine several smaller surveys\u2019 data might be placed in an important role. This role is particularly for such surveys, where the small sample size limits the possibility to get statistically significant differences. No other study was found from previous years where free time physical activity information collected by different questionnaires would have been categorized consistently and combined.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted using Plone Publishing form by Mariann Slotte-Jana (maslotte) on 2016-02-16 18:28:53.270162. Form: Pro gradu -lomake (https://kirjasto.jyu.fi/julkaisut/julkaisulomakkeet/pro-gradu-lomake). 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No. of bitstreams: 2\r\nURN:NBN:fi:jyu-201602161587.pdf: 889827 bytes, checksum: 128fe647f5375695a21bd58e3f850493 (MD5)\r\nlicense.html: 4877 bytes, checksum: 12cde008bd752b54266d630c3c1b96b8 (MD5)\r\n Previous issue date: 2016", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "1 verkkoaineisto (55 sivua)", "language": null, "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "Fyysinen aktiivisuus", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": 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