Identifying socioeconomic determinants that are associated with access to and availability of exercise facilities is fundamental to supporting physical activity engagement in urban populations, which in turn, may reduce health inequities. This study analysed the relationship between area-level socioeconomic status (SES) and access to, and availability of, exercise facilities in Madrid, Spain. Area-level SES was measured using a composite index based on seven sociodemographic indicators. Exercise facilities were geocoded using Google Maps and classified into four types: public, private, low-cost and sessional. Accessibility was operationalized as the street network distance to the nearest exercise facility from each of the 125,427 residential building entrances (i.e. portals) in Madrid. Availability was defined as the count of exercise facilities in a 1000 m street network buffer around each portal. We used a multilevel linear regression and a zero inflated Poisson regression analyses to assess the association between area-level SES and exercise facility accessibility and availability. Lower SES areas had a lower average distance to the closest facility, especially for public and low-cost facilities. Higher SES areas had higher availability of exercise facilities, especially for private and seasonal facilities. Public and low-cost exercise facilities were more proximate in low SES areas, but the overall number of facilities was lower in these areas compared with higher SES areas. Increasing the number of exercise facilities in lower SES areas may be an intervention to improve health equity.

Aims/hypothesis: We aimed to study the association between the availability of exercise facilities and the likelihood of obesity and type 2 diabetes in the adult population of Madrid, Spain. Methods: We analysed the electronic medical records of all 1,270,512 residents of Madrid aged 40–75 years in 2017. Exercise facility availability was defined as the count of exercise facilities in a 1000 m street network buffer around each residential building entrance. Poisson regression with standard errors clustered at census tract level was used to assess prevalence ratios of exercise facility availability tertiles and obesity and type 2 diabetes. We also examined stratified results by tertiles of area-level socioeconomic status (SES) and sex. Results: People living in areas with lower availability of exercise facilities had a higher prevalence of obesity (prevalence ratio [PR] 1.22 [95% CI 1.20, 1.25]) and diabetes (PR 1.38 [95% CI 1.34, 1.43]). We observed effect modification by area-level SES (p<0.001), with stronger associations for residents living in low-SES areas and no association for residents living in high-SES areas. Associations with type 2 diabetes were stronger among women compared with men, while associations with obesity were similar by sex. Conclusions/interpretation: People living in areas with low availability of exercise facilities had a higher prevalence of obesity and type 2 diabetes, and this association was strongest in low-SES areas and for women. Understanding the potential role of exercise facilities in driving inequities in obesity and type 2 diabetes prevalence may inform interventions to reduce health inequities. Graphical

The steady rise in overweight and obesity in Europe disproportionately affects people and communities with a lower socio-economic position (SEP). Many obesity prevention approaches exist, but these have had limited reach and unsatisfactory effects thus far, especially in low-SEP populations. In this context, there is a need for implementation of effective individual-level and population-based preventive strategies that also tackle health inequalities. Effective strategies require consideration of the complex and cross-domain obesity risk factors across the life course. Feasible and acceptable strategies require multisectoral collaborations and innovative approaches, including a whole-of community and systems perspective. With the Horizon Europe-funded OBCT project, we aim to quantify the relative contribution of biological, socio-cultural and built environment factors to obesity and the interactions of these risks within and across various life course stages; and translate the resulting knowledge into practical, equitable, and effective tools for action. These tools will include: a comprehensive obesity risk screener; a map of the obesogenicity of neighbourhood environments as well as trends in obesity prevalence of each European country; recommendations for lifestyle behaviours (diet, physical activity, sedentary behaviours) to prevent obesity during key life transition stages; a decision support dashboard for policy makers; and co-developed toolboxes to support implementation of policy recommendations in low-SEP communities. OBCT's outputs will highlight the areas and domains in which obesity should be targeted and will empower the research community, policymakers, health professionals and residents in Europe to adapt and implement strategies to effectively reduce obesity risk, particularly in low-SEP communities.

To study the association between exercise facility availability and type 2 diabetes incidence and its complications, and to explore effect modification by socioeconomic status (SES) and sex in the Madrid adult population. A multilevel longitudinal design, based on a population-based retrospective cohort including 1,214,281 residents of Madrid (Spain) aged 40-75 years from 2015 to 2018. Outcomes were type 2 diabetes incidence and macrovascular (cardiac ischemia and/or stroke) and microvascular (chronic kidney disease, retinopathy, and/or peripheral vascular disease) complications in those with diabetes at baseline. Exercise facility availability was defined as the count of exercise facilities in a 1000 m street network buffer around each participant's residence. Poisson regression models with robust standard errors were used to estimate the risk ratios (RR). Interactions were explored with SES tertiles and by sex. Residents living in areas with lower exercise facility availability showed higher risk of type 2 diabetes (RR_tertile3vs1 = 1.25, CI95% 1.21-1.30) as well as macrovascular (RR_Tertile3vs1 = 1.09 CI95% 1.00-1.19), and microvascular (RR_Tertile3vs1 = 1.10 CI95% 1.01-1.19) complications. Associations were strongest in low SES areas for type 2 diabetes (RR_{tertile3vs1-LOW-SES} = 1.22, CI95% 1.12-1.32; RR_{tertile3vs1-HIGH-SES} = 0.91, CI95% 0.85-0.98) and microvascular complications (RR_{tertile3vs1-LOW-SES} = 1.12, CI95% 0,94-1,33; RR_{tertile3vs1-HIGH-SES} = 0.88, CI95% 0.73-1.05). Living in areas with lower availability of exercise facilities was associated with a greater risk of type 2 diabetes and its complications. Increasing exercise opportunities, particularly in low SES areas, could help reduce the social gradient of diabetes and its complications.

Restrictions during the COVID-19 pandemic are likely to decrease physical activity (PA) levels. The purpose of the study was to explore the associations between age, gender, and exercise facilities-type membership and physical activity levels during COVID-19 lockdown among users of exercise facilities from Spain. Participants were recruited among the members of 84 exercise facilities across Spain. Data was collected through an online questionnaire between 5th and 20th of April 2020 during the COVID-19 lockdown. A total of 7062 participants met inclusion criteria and responded correctly to the International Physical Activity Questionnaire. Lower levels of total PA were found in women compared with men (β = -26, 95%CI: -40 to -13), and among older adults (β = -48, 95%CI: -10 to -85) compared with younger ones. Moreover, users of private facilities showed higher levels of PA (β = 40, 95%CI: 13 to 66) than those from low-cost and public facilities (reference). Lastly, women from private facilities showed greater levels of PA (β = 63, 95%CI: 29 to 96) than low cost and public's users, an increase higher than what was found in men (β = 7, 95%CI: -38 to 52). Therefore, gender, age and the type of exercise facility's subscription had a relevant influence on PA levels during COVID-19 lockdown in an active population. These findings are useful for public health recommendations, in order to identify subpopulations of previously active people at risk of being physically inactive during and after this pandemic.

Background: Understanding socioeconomic and gender inequalities in physical inactivity during adolescence is a relevant public health issue to promote health in adult life. The aim of this qualitative study is to identify the factors that determine physical activity inequalities in adolescents. Methods: We selected 2 educational centers in each of the 3 socioeconomic status areas—low, middle, and high—in the city of Madrid. We conducted a total of 18 semistructured interviews and 12 focus groups involving students, parents, teachers, and school principals. We followed the interpretative/constructivist paradigm within a case study design and grounded theory for the data analysis with the usage of ATLAS.ti 23 software. Results: Results included 4 main themes: (1) access to off-school structured physical activities; (2) physical activity restrictions due to socioeconomic status; (3) unacknowledged privilege in upper socioeconomic status adolescents; and (4) gender physical activity inequalities. Conclusion: Improving the health of adolescents and future adults through increased physical activity requires equity and gender perspectives.