Back

Socioeconomic inequalities in sport participation: pattern per sport and time trends

Richard, V.; Piumatti, G.; Pullen, N.; Lorthe, E.; Guessous, I.; Stringhini, S.

2022-11-18 epidemiology
10.1101/2022.11.18.22282493 medRxiv
Show abstract

BackgroundSport participation is an important component of a healthy lifestyle and is known to be more common among privileged individuals. However, few studies have examined socio-demographic patterns of participation by type of activity. This study aims at quantifying socio-economic inequalities in sport participation by sport type, and to analyse their trend over 15 years. MethodsWe used 2005-2019 data from the Bus Sante study, a yearly population-based cross-sectional survey of Geneva adults. Sport participation was defined as reporting at least one sporting activity over the previous week; educational level, household income and occupational position were used as indicators of socio-economic position. Socio-economic inequalities in sport participation, and their trend over time, were examined using the relative and slope indexes of inequality (RII/SII). ResultsOut of 7769 participants (50.1% women, mean age 46 years old), 60% participated in a sporting activity. Results showed that the higher the socioeconomic circumstances, the higher the sport participation (RII=1.78; 95% Confidence Interval (CI): 1.64-1.92; SII=0.33; 95%CI: 0.29-0.37 for education). Relative inequalities varied per sport e.g., 0.68 (95%CI: 0.44-1.07) in football participation and 4.25 (95%CI: 2.68-6.75) in tennis/badminton participation for education. Yearly absolute inequalities in sport participation tended to increase between 2005 and 2019 for household income ({beta}=0.01; P-value=0.024). ConclusionWe observed strong socio-economic inequalities in sport participation in Geneva, with different magnitude depending on the type of sport. These inequalities seemed to increase over the 2005-2019 period. Our results call for tailored measures to promote the participation of socially disadvantaged populations in sporting activities. KEY MESSAGESO_LISport participation is associated with higher socioeconomic conditions. Research on the patterning of inequalities per sport type and on their trend over time remains scarce. C_LIO_LIThere are high growing socioeconomic inequalities in sport participation in Geneva. Inequalities in sport participation are heterogeneous and lower in sports practised in group. C_LIO_LITailored sport promotion measures are needed for disadvantaged populations. C_LI

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.