Valuing the contribution of sport volunteering to subjective wellbeing: evidence from eight European countries.

Introduction: Volunteering is a prominent and integral aspect of the activities undertaken by sports clubs in Europe. However, even with its growing importance, quantifying the monetary worth of this nonmarket activity, in terms of wellbeing, can present certain difficulties. Traditional approaches to valuing volunteering (i.e., replacement and opportunity cost approaches) do not fully capture the value of volunteering to individuals, as they do not consider the intangible benefits that individuals may derive from their participation. Methods: This research provides added value to the monetisation of volunteering in sport by applying the wellbeing valuation approach (WVA) for the first time to a cross-sectional data in eight European countries. A double instrumental variable approach was developed to correct for unobservable variables that may influence the pairs: income and subjective wellbeing (SWB), and volunteering and SWB. This allows to estimate the causal impact of volunteering and income on SWB more accurately and assign a reasonable monetary value to this non-market activity. Results: The results, based on a sample size of 1,091, show an income compensation for a volunteer, devoting on average 8.7 hours during a four-week period of €16 to €50 per hour, equivalent to between € 1,700 and € 5,200 per year, depending on the nationality of the volunteer. Discussion: With these estimations insights into the value of volunteering in sports are provided, contributing to a better understanding of how this activity can be valued and supported. By recognising and accurately valuing the contributions of volunteers, sport organizations and policymakers can develop more effective strategies for promoting and supporting volunteering in sports.

Light, moderate and vigorous physical activities: New insights into a virtuous circle with happiness.

The study of the physical activity engagement (PA) has given rise to a relevant research agenda in a wide range of fields, such as its close relationship with subjective well-being, self-perceived health and social capital. Previous evidence has identified interrelationships among these variables, but without considering different levels of physical activity. We have thus considered three levels of activity: light (walking), moderate and vigorous. Structural Equation Modelling (SEM) is undertaken on data from Spain's National Health Survey in 2011-2012 to analyse these interrelationships. The SEM shows a simultaneous and bidirectional relationship between different levels of PA (moderate and vigorous activities) and happiness, with a more robust association stemming from happiness to PA than vice versa. This relationship is mediated through health. From a policy perspective, this implies a virtuous circle: involvement in different levels of PA increases happiness and self-perceived health, while happiness involves higher PA and subsequent positive increases in health and happiness. Nevertheless, this virtuous circle does not always run successfully when social capital is considered to mediate the relationship between PA and happiness, which might explain why it has proven to be very difficult for health policymakers to fight against inactivity and a sedentary lifestyle within a great part of the population.HighlightsWe investigate bidirectional interrelationships between different levels of physical activity (PA) and happiness.We consider the mediation role played by self-perceived health (SPH) and social capital.Our results highlight a network of association between different levels of PA, SPH, social capital and happiness.SPH positively mediates this relationship for any type of PA level, whereas social capital only mediates positively when vigorous PA is developed.From a health policy perspective, the simultaneity between PA levels and happiness implies a virtuous circle.

Physical activity disparities across Europe: clustering European regions by health-related physical activity levels.

In the context of stagnating global levels of physical activity (PA), this study examines the geographical segmentation of PA at the regional level (196 regions) in Europe. Cluster analysis and multinomial logistic regression are applied. Cluster analysis provides a taxonomy of four differentiated groups according to the health-related PA levels of the European regions. This taxonomy shows that there are significant regional disparities among European countries in terms of the regional PA level. The cluster profiles in terms of regional socioeconomic characteristics are described for each group, emphasizing the regional characteristics associated with PA. Regional economic variables, tertiary education and social Internet use are significant variables for characterizing the types of regions. The results emphasize the relevance of a European regional approach for reducing inter-regional PA disparities and improving health through PA in Europe. Practical implications of this research are based on regional European coordination, such as collaborative models of sport infrastructure use, co-financing of inter-regional facilities, mutual physical educational scholar programs and promotion of common inter-regional sport competitions and sporting events. Finally, formal schemes for exchanging of best regional practices to promote health-enhancing PA might increase the perception and the role of PA at the regional level in the European society.

Is Passive Sport Engagement Positively Associated with Happiness?

BACKGROUND: Previous empirical evidence has shown the positive relationship between happiness or subjective well-being (SWB) and sport participation. Nevertheless, passive sport participation has traditionally been ignored as a correlate with happiness. METHODS: Based on a sample of 1,632 Spanish people, one ordered probit model and three extended ordered probit models with an ordinal endogenous covariate technique and robust standard errors were applied. RESULTS: We find that different forms of passive sport participation-such as frequency of attending sporting events and a set of other forms of passive sports participation such as watching sports on TV, listening to sports programmes, reading sports news, and talking to others about sports-are positively associated with happiness. CONCLUSIONS: The results indicate that passive sport participation generally appears to have a closer relationship with individual happiness than active sport participation and emphasise the role played by some forms of sport participation as a source of relational goods. This current research extends the field's understanding of sport participation and happiness, including passive participation, and the relevance of social interactions to account for this association. Finally, the relational aspect of different forms of sport participation offers new implications for the analysis of sport engagement and happiness.

Patterns of sports involvement in Spain.

AbstractIn a context of a rise in physical inactivity, this paper aims to provide new insights about the relationship between different forms of sport engagements and their correlates, analysing, for the first time, both active and passive sport involvement for a large sample of individuals. Applying the cluster technique, we identify four different segments of sports involvement among the Spanish population: non-sporty, exclusively practitioner, balanced practitioner, and basically spectator. Also, we develop a multinomial logit model to analyse the main sociodemographic, physical, and sports features that could increase the individual sport involvement, from the non-sporty segment, which assembles the highest number of individuals, to the other clusters. Most of the variables under analysis show a different impact on sport involvement: some of them stimulate active participation (e.g. being member of private sport clubs), whereas others mainly encourage sport attendance (e.g. readers and listeners of sport news, children in the household), and other variables boost sport engagement in general (e.g. being male, educational level, health status, e-sports). The results may have significant implications in terms of developing a general perspective about sport engagement, including both active and passive participation. Particularly, our findings suggest that active and passive sport engagement do not seem to be negatively associated and they can coexist at different levels.

Sport Promotion through Sport Mega-Events. An Analysis for Types of Olympic Sports in London 2012.

A substantial amount of attention has been devoted towards the potential sport legacy of the Olympic Games. In spite of the increasing academic interest in this topic, there is a knowledge gap as far as sport legacy is concerned by types of different sports. The authors bridge this gap by analysing the evolution of 43 different Olympic/Paralympic sport modalities in the two-year period after the London 2012 Olympics. By using data from the Active People Survey with a sample of 165,000 people annually, and considering some demographic variables and the effect of the economic environment, the paper aims to test the existence of a sport legacy. We have applied time series analysis and ARIMA models for controlling for economic influence and seasonal adjustment and for making comparisons among participation rates. The results show, for the total of the sports analysed, that there were 336,000 individuals who increased their frequency of participation, while there was no significant increase in the number of new participants in these sports. When we develop the analysis for types of sports, London 2012 is positively associated not only with the frequency of participation in some types of sport but also with an increase in the number of new sport participants. Gender and age differences are also detected. The results show the differences of sport legacy by type of sports. Moreover, this research has elucidated an important unrecognised aspect of the effect of the Olympic Games and perhaps major events: that they can become a major policy tool for reversing sporting inequalities.

How the relationship between physical activity and health changes with age.

In the context of age-related declines in physical activity (PA) and the dramatic increase in ageing populations in many countries, this paper sheds further light on the link between PA and self-perceived health (SPH) by examining whether the magnitude of this relationship is age specific. With a sample of 14,456 Spanish individuals aged 18-69, we estimated three levels of intensity in PA using the International Physical Activity Questionnaire. Individuals who did more PA per week showed higher levels of SPH (ß = 0.28; 95% CI 0.24-0.32), and age moderated this relationship, with a positive effect over age 49. People aged 50-59 and 60-69 who practiced PA had higher probabilities of better SPH compared with those aged 40-49 (ß = 0.14; 95% CI 0.04-0.24) and (ß = 0.32; 95% CI 0.21-0.43), respectively. This association between PA and SPH also depended on the intensity of PA, especially for walking (ß = 0.14; 95% CI 0.04-0.24). In particular, in comparison with people age 40-49, a statistically significant relationship with SPH was found among people age 50-59 who walked (ß = 0.22; 95% CI 0.07-0.36) and people age 60-69 who did moderate PA (ß = 0.38; 95% CI 0.23-0.54). This paper provides a major rationale for the design, organisation and implementation of public policies promoting PA and healthy ageing for different age groups.

Sports participation, physical activity, and health in the European regions.

In a context of stagnation of the level of health-enhancing physical activity in Europe, this study examines the geographical stratification of sports participation and physical activity (PA) at the regional level in 28 European countries. While previous research has focused on the national approach, this study considers the regional level across 208 European regions. Individual survey data from the Eurobarometer 80.2 is combined with a regional-level approach to the 208 regions to quantify sports participation and PA at the regional level. The results show important differences and a geographical stratification of sports participation and PA among the European regions, albeit following different patterns. In particular, a north-south gap is identified in terms of PA rates and an east-west gap is detected in terms of sports participation levels. Applying the cluster technique, a taxonomy of four different European regions is developed considering both types of indicators. Finally, the existence of sports spatial spillovers among regions is verified, obtaining a positive autocorrelation among neighbouring regions for being involved in PA and sporting activities. The results may have significant implications in terms of policy measures to improve health through PA and sports participation at the regional level in Europe.

Does regional disadvantage affect health-related sport and physical activity level? A multi-level analysis of individual behaviour.

This study examines the role of regional government quality in health-related participation in sport and physical activity among adults (18-64 years) in 28 European countries. The importance of the analysis rests in the relative autonomy that regional and local governments have over policy decisions connected with sport and physical activity. While existing studies have focussed on economic and infrastructural investment and expenditure, this research investigates the quality of regional governments across 208 regions within 28 European countries. The individual-level data stem from the 2013 Eurobarometer 80.2 (n = 18,675) and were combined with regional-level data from Eurostat. An individual's level of participation in sport and physical activity was measured by three variables reflecting whether an individual's activity level is below, meets, or exceeds the recommendations of the World Health Organization. The results of multi-level analyses reveal that regional government quality has a significant and positive association with individual participation in sport and physical activity at a level meeting or exceeding the guidelines. The impact is much larger than that of regional gross domestic product per capita, indicating that regional disadvantage in terms of political quality is more relevant than being disadvantaged in terms of economic wealth.

Does government spending help to promote healthy behavior in the population? Evidence from 27 European countries.

BACKGROUND: The aim of this study was to examine if government spending is associated with an individual's decision to participate in physical activity and sport which is regarded as healthy behavior given the positive health effects documented in previous research. METHODS: Individual-level data (n = 25 243) containing socio-demographic information are combined with national-level data on government spending (5-year average) in 27 European countries. Given the hierarchical data structure, i.e. individuals are nested within countries; multi-level analyses are applied. RESULTS: The multi-level models show that it is mainly education spending that has a significant positive association with participation in sport of various regularities. Health spending has some association with participation in other physical activity and sport of a lower regularity. CONCLUSIONS: While health spending can be considered a relevant policy tool for increasing sport participation rates, education spending is required more since the effects are larger and it affects both physical activity and sport. This suggests that health spending will have most effect combined with earlier influences from education spending.

The correlates of sports participation in Europe.

Based on the Eurobarometer data from 2009 (N = 26,788), this paper investigates the correlates of sports participation. In addition to examining standard socio-demographic, economic and lifestyle factors, the paper also focuses on the impact of motivational factors, the availability of sports infrastructure and government support, for the first time collectively at the European level. A further contribution of the paper is that it simultaneously investigates both the decision to participate in sport and the frequency of sports participation in this context. This is made possible through the application of a Zero-Inflated Ordered Probit estimator. This estimator also takes into account two types of non-participants: those who have never participated in sport and those who did not participate at the time of the survey. The results show that the decision to participate in sports and the frequency of sports participation of males and females are affected by different factors, therefore distinct government policies should be applied to attract new, and retain the existing, participants. For example, women are affected more by a need to improve self-esteem, while the men to produce social integration. The provision of sports facilities is of more importance for males, which may indicate a male-oriented nature of the sports facilities, for example, the gym. However, the number of adults and the number of children in the household reduce the probability of sports participation by females. Therefore, higher provision of childcare may be important if female participation is to be increased.