Erik Thibaut

Sports participation styles revisited: A time-trend study in Belgium from the 1970s to the 2000s

Social changes have been influencing determinants for sports participation since the introduction of the Sport for All ideology in the early 1970s. Consistent with Crum’s sportisation theory, today’s modes of sports practices, as well as the network of sport services, have diversified and de-traditionalised. As part of a research tradition, this contribution aims at analysing changes in sports participation styles in kinesiology students in Belgium during the past four decades (1972–2009). The distinct target group was supposed to fulfil a trend-setting role in the area of active sports participation. Data were obtained from a standardised retrospective questionnaire on leisure-time sports participation. Using standardised methods, Principal Component Analysis was used to identify patterns of sports participation. The results show a diversification of sports participation styles until the 1980s, followed by an intensification of basic style components since the 1990s. Sports participation styles between 1999 and 2009 are subdivided into multiple distinct traditional and non-traditional components, with growing emphasis on non-traditional, alternative practices. Newly observed components in 2009 are discussed in relation to previous time intervals and trends in sports participation.

Youth sports clubs’ potential as health-promoting setting: Profiles, motives and barriers

Setting and Objective: For decades, the World Health Organisation has promoted settings-based health promotion, but its application to leisure settings is minimal. Focusing on organised sports as an important leisure activity, the present study had three goals: exploring the health promotion profile of youth sports clubs, identifying objective club characteristics (e.g. size, type of sport), predicting the presence/absence of health promotion in youth sports clubs and identifying perceived motives and barriers to health promotion in youth sports clubs, thereby improving the basis for policy guidelines. Method: Respondents were representatives from the board of 154 youth sports clubs. Data were collected through an online survey, including the health-promoting sports club index (HPSC-I). Linear regression and analysis of variance were used to identify predictors and differences. Results: Even though the motives were strongly supported, a majority of youth sports clubs were rated as low health promoting on the HPSC-I (59%). Overall, linear regression indicated that clubs founded more recently, offering multiple types of sports and offering both recreation and competition scored higher on the health promotion indices. Health promotion not being a priority of the board and lack of expertise were identified as the most important barriers. Conclusion: Progress is needed before youth sports clubs can truly be considered health-promoting settings. Policy suggestions are made to address the barriers, for example, financial incentives to maximise efforts and establishing collaborations between sports clubs and health promotion experts.

A unified model of non-profit sport organizations performance: perspectives from the literature.

Little consensus has emerged about how organizational performance should be defined and measured. Most studies have used traditional approaches to give their own perspective about organizational performance and effectiveness, but none have recently tried to encompass these different views into one unified model. In the present paper, Chelladurais systems view of organizations is used to integrate the dimensions of organizational performance highlighted by previous studies on non-profit sport organizations (NPSOs). These organizational performance dimensions are highlighted and categorized into macro-dimensions (e.g. financial resources acquisition, size, internal atmosphere, organizational operating, financial independence, achieving elite sport success and mass sport participation). Relationships between these macro-dimensions are analyzed. A multidimensional framework is developed which gives an overview of which dimensions constitute organizational performance in NPSOs and of how to measure them. Further research directions and management implications are discussed.

Who uses running apps and sports watches? : determinants and consumer profiles of event runners' usage of running-related smartphone applications and sports watches.

Individual and unorganized sports with a health-related focus, such as recreational running, have grown extensively in the last decade. Consistent with this development, there has been an exponential increase in the availability and use of electronic monitoring devices such as smartphone applications (apps) and sports watches. These electronic devices could provide support and monitoring for unorganized runners, who have no access to professional trainers and coaches. The purpose of this paper is to gain insight into the characteristics of event runners who use running-related apps and sports watches. This knowledge is useful from research, design, and marketing perspectives to adequately address unorganized runners’ needs, and to support them in healthy and sustainable running through personalized technology. Data used in this study are drawn from the standardized online Eindhoven Running Survey 2014 (ERS14). In total, 2,172 participants in the Half Marathon Eindhoven 2014 completed the questionnaire (a response rate of 40.0%). Binary logistic regressions were used to analyze the impact of socio-demographic variables, running-related variables, and psychographic characteristics on the use of running-related apps and sports watches. Next, consumer profiles were identified. The results indicate that the use of monitoring devices is affected by socio-demographics as well as sports-related and psychographic variables, and this relationship depends on the type of monitoring device. Therefore, distinctive consumer profiles have been developed to provide a tool for designers and manufacturers of electronic running-related devices to better target (unorganized) runners’ needs through personalized and differentiated approaches. Apps are more likely to be used by younger, less experienced and involved runners. Hence, apps have the potential to target this group of novice, less trained, and unorganized runners. In contrast, sports watches are more likely to be used by a different group of runners, older and more experienced runners with higher involvement. Although apps and sports watches may potentially promote and stimulate sports participation, these electronic devices do require a more differentiated approach to target specific needs of runners. Considerable efforts in terms of personalization and tailoring have to be made to develop the full potential of these electronic devices as drivers for healthy and sustainable sports participation.

A study on the frequency of participation and time spent on sport in different organisational settings

ABSTRACT Research question: As a result of the expansion of opportunities for leisure-time sport participation (LTSP), the question arises if differing organisational settings relate to differences in participation behaviour. This paper compares participation frequency and time spent on sport between club-organised and non-club-organised sport participants. Research methods: Data originate from the 2009 Household Study on Sport Participation in Flanders (Belgium). The sample consists of 4020 sports participants that are parents of school-aged children. The frequency of LTSP, time per training session and total time spent on sport per week are constructed as dependent variables for log-linear regression analyses. The organisational setting for LTSP is the main independent variable. Analyses are conducted at a total sample level and a sport-specific level. Results and findings: Participation frequency and time spent on sport increase when participants engage with club-organised sport. The association between the organisational setting for LTSP and the dependent variable varies as a function of different variables related to participation in a specific sport. Implications: As a contribution to ongoing debates on the promotion of LTSP in different organisational settings, results of this study allow for discussing the popularity of non-club-organised sport in relation to advantages of club-organised sport. For managers in sport organisations, it is important to gain insight in participation behaviour of (potential) participants to develop targeted strategies. Results are also relevant to policy-makers in order to adequately allocate resources aimed at increasing participation rates and time spent on sport among a broader range of the population.

Partaking in cycling, at what cost? Determinants of cycling expenses

This study analyses the determinants of cycling expenditure by means of a Tobit regression analysis, based on a dataset of 5,157 cyclists. Using a heterodox economic approach, 23 different variables are combined into two commonly used variable groups in the field of sports expenditure (socio-demographics, sports intensity variables) and two variable groups [socio-economic cycling capital, and attitudes, interests, opinions (AIOs)] that are less frequently incorporated. With all variables included in the Tobit regression, sex, trip duration, frequency, number of cycling variants practised, visiting cycling websites, and practicing road bicycle racing or mountain bike influence cycling expenditure positively. A negative association is found with competitive riding and cycling drop out. It is suggested that marketers of cycling services and cycling apparel should meet the cyclists need for identification instead of focusing solely on socio-demographic factors.

The determinants and income elasticities of direct and indirect sports expenditure categories.

ABSTRACT Research question: The current study investigates the income elasticities and socio-economic determinants of direct and indirect sports expenditure categories by means of a log normal hurdle regression. Research methods: The data stem from a representative sample of 3005 Flemish families with school-aged children, gathered through a sports-specific survey. A log normal hurdle regression was used to calculate the determining factors and expenditure elasticities of expenditure on sports participation. Results and findings: The results indicate that income, education and the age of the youngest child are positively related to almost all sports expenditure categories, while the number of family members and degree of urbanisation are significant for only a number of the expenditure categories. The elasticity value of the direct sports expenses is smaller than is the case for indirect sports expenditure. Between the expenditure categories large differences exist, as relatively large elasticities are found for sports holidays, transport and sports food and drinks, as opposed to low values of sports events, sports club membership, entrance fees for sports infrastructure, sports camps, clothing, footwear and equipment. Implications: The fact that income significantly influences all expenditure categories demonstrates that further policy intervention is required to make sports consumption more accessible to lower income groups. Sports enterprises and policy-makers need to be aware that negative income shifts have a more profound impact on the indirect expenditure categories, and that certain sports activities (e.g. participation events) are relatively more favoured by low-income groups than is the case for sports club membership.