Search Results For Data and learning
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.
Data and learning: Gender
We know that women and girls are less likely to be active than men, with women facing a number of practical and emotional barriers preventing them from being as active as they would like to be. It is important to recognise and understand the specific barriers women and girls face, which include fear of judgement and a lack of time, so that we can work to address these barriers when redesigning moving back into daily life. Here you will find the latest research related to the physical activity and sport levels, motivations and barriers related to gender.
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UCL is conducting a large scale research project throughout the Covid-19 pandemic and are exploring the effects of the pandemic on the population. This is being done by examining a variety of social factors, including physical activity, and looking at changes through weekly surveys.