2022, Dissertation It is important to get a better understanding of the relationship between sport participation on the one hand and health and health care costs on the other. For that purpose, the research in this thesis shows that sport participation is positively associated to significantly lower risks of morbidity, type 2 diabetes, prediabetes and obesity. However, the relationship between sport participation and health differs between groups. For several health outcomes, the positive effects of sport participation are significantly greater for people with a healthy weight than for obese persons. Another finding is that socioeconomic inequalities in sports participation (with the most vulnerable groups participating the least) seem contribute considerably, and much more than physical activity, to the socioeconomic inequalities in health outcomes. The research also shows that there exists a strong socioeconomic gradient in health care costs in the Netherlands: controlling for the population structure, poor neighborhoods have substantially higher costs than affluent neighborhoods. In addition, neighborhoods with a higher percentage of voluntary sports club members have significantly lower average health care costs. This relationship seems to be independent of the socioeconomic level of a neighborhood. Finally, the research shows that the socioeconomic inequalities in physical activity behavior have increased significantly in the Netherlands due to the Covid-19 pandemic and the measures to prevent the spread of the virus. In conclusion, the research in this thesis demonstrates that sports participation can be an important preventive medicine for improving health, reducing socioeconomic health inequalities, as well as lowering health care costs.
2021, Article / Letter to editor (vol. 31, (2021), pp. 1342-1351)This study examined the association of sport participation with health outcomes and whether this relation differs between body mass index (BMI)-level subpopulations. Research outcomes for sport participation were compared with other types of leisure-time physical activity (PA). We used the Cox proportional hazards regression models to assess the associations of sport participation, and four other PA types (cycling, gardening, doing odd jobs, and walking), with the risk of prediabetes, type 2 diabetes mellitus (T2DM), and all-cause mortality in 97,212 individuals (58.4% women; mean age: 46.5 years) in the Dutch LifeLines cohort. Outcomes were stratified by three BMI levels: healthy weight (BMI: 18.5-24.9 kg/m(2) ), overweight (BMI: 25.0-29.9 kg/m(2) ), and obesity (BMI: 30.0 kg/m(2) or above). Sport participation was associated with lower health risks, but only significantly so for prediabetes (HR = 0.86, 95% CI: 0.81-0.92). For healthy weight persons, sport participation was associated with the largest risk reductions, with significantly lower risks of prediabetes (HR = 0.78, 95% CI: 0.68-0.90) and all-cause mortality (HR = 0.79, 95% CI 0.65-0.96). Other PA types were not associated with significantly lower health risks, with the exception of cycling, for which significantly lower health risks for persons with overweight were found. Our findings show that sport participation is associated with lower health risks, especially prediabetes, but the effect varies between BMI levels, with the strongest link for persons with a healthy weight. Sport participation, together with cycling, is likely to be more effective in reducing health risks than other types of PA.
2020, Article / Letter to editor (vol. 17, (2020))Mass participation sporting events (MPSEs) are increasing in popularity. However, little research exists into the potential value of these events for improving public health by enhancing physical activity (PA). The aim of this study is to estimate the health impact of increased physical activity as a result of preparing for an MPSE. Participants of a mass participation women-only running event were asked if they performed additional PA in preparation of the event, including the length (weeks) and intensity (min per week). Additionally, self-reported change in health status was evaluated. Based on these results, we have developed a framework for estimating the cumulatively gained quality adjusted life years (QALYs) and monetary value thereof. Of the respondents (N = 468; mean age 42.3 ± 11.9 years), 32% performed additional vigorous PA in preparation of the event, with an average of 63 min per week over 8.8 weeks. Performing additional vigorous PA significantly improved the odds of self-rated health. The estimated total health impact of participants preparing for the Marikenloop was 6.6 QALYs gained with a corresponding monetary value between EUR 133,000 and EUR 532,000. We believe our health impact framework helps to understand that MPSEs can be a notable part of the public health domain.