Data and learning: Ethnicity

We know that there is a difference in activity levels between ethnicities, resulting in health inequalities. Those of South Asian or Black ethnicities are reported as less active than other ethnicities. In some ethnicities there is a larger gap in the activity levels of men and women than others, for example, women from White backgrounds are more likely to be active compared to people from Asian and Black backgrounds. It’s important for us not to group all people from Black and minority ethnic backgrounds together; a range of interlinked, and compounding, social, cultural and economic factors are at play. Here you will find the latest research related to the physical activity and sport levels, motivations and barriers of those from BAME communities.

Data and learning: Socio-economic status

There are significant inequalities between the activity levels of different socio-economic groups; those from lower socio-economic groups are less likely to be active than those from higher socio-economic groups. It’s important to note that this is a diverse group that interconnect with, and are amplified by, race, gender, age and disability status.

We know that those who are in routine or semi-routine jobs, and those who are long-term unemployed are the groups least likely to be active. The activity levels of people with low socio-economic status are influenced by a range of complex social, economic, political and cultural factors. It’s important to have an understanding of the barriers faced by these communities so that we can begin to design activity back into daily life. Here you will find the latest research related to the physical activity and sport levels, motivations and barriers related to socio-economic status.

Research and Insight: Whole system approach

As we learn more about taking a whole system approach to physical activity this section will gather key research and evidence to support our work.

0 results found