2019
DOI: 10.1080/16138171.2019.1577328
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Social inequality and sport in Germany – a multidimensional and intersectional perspective

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Cited by 30 publications
(19 citation statements)
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“…Social stratification of sport is widely discussed, and recent German studies indicate that gender, age, immigration status, and social class influence overall participation in sport [ 32 , 33 , 34 ]. However, digital sports activities have not been studied yet within a social inequality framework.…”
Section: Resultsmentioning
confidence: 99%
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“…Social stratification of sport is widely discussed, and recent German studies indicate that gender, age, immigration status, and social class influence overall participation in sport [ 32 , 33 , 34 ]. However, digital sports activities have not been studied yet within a social inequality framework.…”
Section: Resultsmentioning
confidence: 99%
“…Socio-demographic variables. To assess socio-economic and socio-demographic correlates of digital sports activities, we used several variables that all correlate with participation in (traditional offline) sports in Germany [ 32 , 33 , 34 ]: age (in years), gender, educational level (measured by school-leaving qualifications), net income (in ten categories from ‘no income’ up to ‘>5000 EUR/month’), immigrant status (1st and 2nd generation immigrants) and residency in an urban or rural area (measured by place of residence’s total population).…”
Section: Methodsmentioning
confidence: 99%
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“…We included sociodemographic variables that relate to sports participation in Germany into the analysis (Breuer, Hallmann, & Wicker, 2011 ; Nobis & El-Kayed, 2019 ; Reimers et al., 2019 ): age (in years), gender, educational level (measured by school-leaving qualifications), net income (in categories from ‘no income’ up to > 5000 € per month), migration status (1st and 2nd generation immigrants) and residency in an urban or rural area. Moreover, we asked respondents whether their administrative district (county or city) had a 7-day incidence rate per 100,000 inhabitants of > 50 (so-called “at-risk region”) or not.…”
Section: Methodsmentioning
confidence: 99%
“…It is argued that individuals Table 4 Determinants of domains of social support during pregnancy among Australian women (n = 493), as determined by backward stepwise elimination approach using Multiple logistic regression modelling living in low socio-economical class tend to have a more limited relational radius and prefer self-isolation from the social events because involvement in social activities needs money to afford events which might lead them to self-neglect from the society [59]. Moreover, withdrawal from society and having less friends may lead them to the feeling of loneliness, receive low emotional support and/ or low affectionate support from the social environment including family, friends and spouse [60].…”
Section: Discussionmentioning
confidence: 99%