Mathieu Marlier

Interrelation of Sport Participation, Physical Activity, Social Capital and Mental Health in Disadvantaged Communities: A SEM-Analysis

Background The Health through Sport conceptual model links sport participation with physical, social and psychological outcomes and stresses the need for more understanding between these outcomes. The present study aims to uncover how sport participation, physical activity, social capital and mental health are interrelated by examining these outcomes in one model. Methods A cross-sectional survey was conducted in nine disadvantaged communities in Antwerp (Belgium). Two hundred adults (aged 18–56) per community were randomly selected and visited at home to fill out a questionnaire on socio-demographics, sport participation, physical activity, social capital and mental health. A sample of 414 adults participated in the study. Results Structural Equation Modeling analysis showed that sport participation (β = .095) and not total physical activity (β = .027) was associated with better mental health. No association was found between sport participation and community social capital (β = .009) or individual social capital (β = .045). Furthermore, only community social capital was linked with physical activity (β = .114), individual social capital was not (β = -.013). In contrast, only individual social capital was directly associated with mental health (β = .152), community social capital was not (β = .070). Conclusion This study emphasizes the importance of sport participation and individual social capital to improve mental health in disadvantaged communities. It further gives a unique insight into the functionalities of how sport participation, physical activity, social capital and mental health are interrelated. Implications for policy are that cross-sector initiatives between the sport, social and health sector need to be supported as their outcomes are directly linked to one another.

Capacity building through cross-sector partnerships: a multiple case study of a sport program in disadvantaged communities in Belgium.

BackgroundRecent research has illustrated the need for cross-sector partnerships to tackle multidimensional problems such as health inequalities and sport and physical activity promotion. Capacity building is based on partnerships and has demonstrated effectiveness in tackling these multidimensional problems. This study aims to explain how cross-sector partnerships build capacity at the practitioner, organisational and partnership levels. The subject of this study is a community sport program (CSP) that aims to increase sport participation rates and physical activity levels.MethodsThe study examined multiple cases in four disadvantaged communities in Antwerp, Belgium where the CSP was implemented. Forty-four face-to-face interviews were held with leaders from sport, social, health, culture and youth organisations that collaborated with the CSP.ResultsThirteen elements of cross-sector partnerships were identified as critical to building capacity at each of the different levels. These include: process evaluation, trust, mutuality, policy support, partner complementarity and fit, diversity of activities and period of collaboration-time. Trust in turn was fostered by a longer period of collaboration-time, better personal contact, clearer coordination and an external focus. Policy support was developed by support of partners and establishing clear metrics of success.ConclusionInsight into the key elements of cross-sector partnerships that build capacity is given and several practical recommendations are suggested for practitioners and policy makers.

Why network structure and coordination matter: A social network analysis of sport for disadvantaged people

Although local governments attempt to promote sports among all layers of society, people with a lower socio-economic status are still under-represented in grassroots sports. Previous studies indicate that inter-sectoral networks and joint efforts can contribute to an increase in sport participation among these groups, but a systematic analysis of the structure, coordination and interactions in the networks is still missing. Insight into networks to promote sport for disadvantaged people may help in designing effective networks. Therefore, we conducted a social network analysis to explore the network structure and characteristics of networks that promote sport participation among disadvantaged people in three Flemish cities. Our results show that the networks needed to be coordinated by a sport administrator, in the initial stage. Once the network is up and running, coordination can be shared so that the sport administration can rely on the experiences of other sectors. More sport initiatives and a better network structure were found in the cities with a community sport development program, through which the sport-for-all policy is implemented and coordinated, compared to a city without such a program.