Data supporting "Weekend and weekday associations between the residential built environment and physical activity: findings from the ENABLE-London Study"

Data supporting “Weekend and weekday differences in associations between the residential built environment and physical activity: findings from the ENABLE-London Study”

The Examining Neighbourhood Activities in Built Living Environments in London (ENABLE London) study is a natural experiment. The primary aims were to examine whether objectively measured physical activity levels and body fatness showed change after two years, amongst individuals who moved to East Village compared with a control population who did not move to East Village. East Village is the former London 2012 Olympic Athletes’ Village repurposed to provide social, affordable and market-rent accommodation with high levels of walkability and close proximity to improved public transport. Other data collected include mental health and wellbeing, mode of travel and information on the participants’ built environment where they were living. A description of the baseline cohort, results from the main follow-up analysis and other secondary follow-up analyses of the data have already been published and are referenced below. These data relate to baseline analyses of the built environment data.

A cohort of 1278 adults aged 16+ who were looking to move into three different housing tenures in East Village was recruited between January 2013 and January 2016. Ethical approval was granted by City Road and Hampstead Review Board (REC reference number 12LO1031). The three housing tenures were social, intermediate (affordable market-rent/shared ownership/shared equity) and market-rent and were used as a marker of socio-economic status. Follow-up of participants was carried out two years after their baseline examination when approximately half the cohort had moved to East Village. Information was collected on participants at baseline and follow-up using computer-assisted self-complete questionnaires and physical examination (height, weight, body fat). Participants were asked to wear an accelerometer for seven consecutive days to objectively measure their physical activity. For those participants living in Greater London at baseline (n=1064), their residential locations were used to derive a range of built environment factors including walkability, distance to parks and accessibility to public transport.

The aims of this study were to assess whether at baseline, the residential built environment was associated with physical activity on week days and weekend days separately. Also, to explore two possible pathways in which the built environment may contribute to household-level socio-economic differences in physical activity levels.

The dataset available includes the variables listed below. There are restrictions on the availability of these data due to the signed consent agreements around data security, which only allow access to external researchers for research monitoring purposes. Requestors wishing to access the data for the purposes of replicating or checking our analyses should contact the SGUL RDM service at researchdata@sgul.ac.uk.

Variables available
Demographics: sex, age group, ethnic group, housing group