{"title":"波兰体育活动参与者的社会生态概况随机树分析","authors":"E. Biernat, Dawid Majcherek, Łukasz Skrok","doi":"10.51371/issn.1840-2976.2021.15.s1.11","DOIUrl":null,"url":null,"abstract":"While the benefits of sports activity are well-documented, people remain reluctant to engage in it in selected developed countries (including Middle and Eastern Europe). A comparison of empirical results indicates that the reasons behind such behaviour are heterogenous and complex. As implied by the socio-ecological framework, different spheres of life and the interactions between them matter. By using the results of a study on Polish society conducted in 2015, Social Diagnosis, and a random forest model, we show the key demographic, socio-economic characteristics and interactions between them in explaining the difference between engaging in sports activity and not doing so. In particular, we identify three crucial variables: age, participation of other adults in the same household in sports activity, and proclivity for restaurants, bars, pubs.","PeriodicalId":42772,"journal":{"name":"Acta Kinesiologica","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SOCIO ECOLOGICAL PROFILES OF PARTICIPANTS IN SPORTS ACTIVITY IN POLAND RANDOM TREE BASED ANALYSIS\",\"authors\":\"E. Biernat, Dawid Majcherek, Łukasz Skrok\",\"doi\":\"10.51371/issn.1840-2976.2021.15.s1.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"While the benefits of sports activity are well-documented, people remain reluctant to engage in it in selected developed countries (including Middle and Eastern Europe). A comparison of empirical results indicates that the reasons behind such behaviour are heterogenous and complex. As implied by the socio-ecological framework, different spheres of life and the interactions between them matter. By using the results of a study on Polish society conducted in 2015, Social Diagnosis, and a random forest model, we show the key demographic, socio-economic characteristics and interactions between them in explaining the difference between engaging in sports activity and not doing so. In particular, we identify three crucial variables: age, participation of other adults in the same household in sports activity, and proclivity for restaurants, bars, pubs.\",\"PeriodicalId\":42772,\"journal\":{\"name\":\"Acta Kinesiologica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Kinesiologica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.51371/issn.1840-2976.2021.15.s1.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Kinesiologica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51371/issn.1840-2976.2021.15.s1.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
SOCIO ECOLOGICAL PROFILES OF PARTICIPANTS IN SPORTS ACTIVITY IN POLAND RANDOM TREE BASED ANALYSIS
While the benefits of sports activity are well-documented, people remain reluctant to engage in it in selected developed countries (including Middle and Eastern Europe). A comparison of empirical results indicates that the reasons behind such behaviour are heterogenous and complex. As implied by the socio-ecological framework, different spheres of life and the interactions between them matter. By using the results of a study on Polish society conducted in 2015, Social Diagnosis, and a random forest model, we show the key demographic, socio-economic characteristics and interactions between them in explaining the difference between engaging in sports activity and not doing so. In particular, we identify three crucial variables: age, participation of other adults in the same household in sports activity, and proclivity for restaurants, bars, pubs.