PurposeThe intention of this paper is to identify the scope and purpose of the use of digital tools in voluntary sports clubs (VSCs) and to identify club-specific factors that influence their usage behavior.Design/methodology/approachAn online survey was conducted among VSCs in Austria and in Germany (n = 787). To answer the key questions, patterns of digital use in VSCs were analyzed in relation to the overall organizational goals and organizational capacity. In addition to the description of the clubs' usage behavior patterns, a multiple linear regression model (blockwise) and quantile regression models were estimated.FindingsThe descriptive results show that digital instruments are most used in the areas of “internal/external communication” (93.7%) and “to report membership data to federations” (82.1%). The OLS and quantile regression models indicate that user behavior is primarily influenced by the following factors: the goals of “commitment/success in competitive sports” and “cooperation with other institutions”; the organizational factors “digital processes do not fit with our club culture”, “proportion of volunteers with administrative tasks”, “we do not yet have a clear digitalization strategy for our club” and “lack of financial resources for necessary IT investments”.Originality/valueDigital technologies appear to be promising for organizational development in VSCs. However, what the usage behavior of digital instruments in VSCs currently is, and by which factors this usage is influenced, has not been the focus of empirical analysis yet. The study provides initial insights into the understanding of digitalization in VSCs that can be used for consulting and ongoing research.

Background Personal social capital, which refers to the scope and quality of an individual’s social networks within a community, has received increasing attention as a potential sociological factor associated with better individual health; yet, the mechanism relating social capital to health is still not fully understood. This study examined the associations between social capital and self-rated health while exploring the roles of leisure-time physical activity (LTPA) and socioeconomic status (SES) among middle-aged and older adults. Methods Cross-sectional data were collected from 662 middle-aged and older adults (Mean age: 58.11 ± 10.59 years old) using the Qualtrics survey panel. Personal Social Capital Scale was used to measure bonding and bridging social capital and the International Physical Activity Questionnaire was used to assess LTPA levels. SES was assessed by education and household income levels. Self-rated health was assessed using a single item, by which the participants were categorized into the two groups, having ‘good’ vs. ‘not good’ self-rated health. A series of univariate and multivariate logistic regression models were established to examine the independent and adjusted associations of social capital with self-rated health and to test mediating and moderating roles of LTPA and SES, respectively. Results Bonding and bridging social capital were positively associated with self-rated health (Odds ratios = 1.11 and 1.09; P’s < .05, respectively), independent of LTPA that was also significantly associated with greater self-rated health (P-for-linear trends = .007). After adjusting SES, the associations of social capital were significantly attenuated and there was a significant interaction effect by household income (P-for-interaction = .012). Follow-up analyses stratified by household income showed that beneficial associations of social capital with self-rated health were more apparent among the people with low and high levels of household income; yet, LTPA was the stronger predictor of self-rated health among those in the middle class of household income. Conclusions Findings suggest that both social capital and LTPA are associated with better self-rated health; yet, these associations vary by SES. The health policymakers should address both social capital and LTPA for enhancing perceived health among aging populations but may need to consider varying SES backgrounds.

Sports participation contributes to maintaining health and wellbeing in old age, hence a deeper understanding of its various determinants is necessary. Previous research has primarily focused on either the effects of individual resources or age-specific attitudes to sports participation. However, a deeper understanding of the inter-relationships between these variables is required to develop effective policies to promote sports participation in ageing societies. To address the hypothesised inter-relationships, we consider both individual resources as well as age-specific attitudes and behaviours in order to integrate them simultaneously in our analysis. Furthermore, the analysis will be differentiated according to the three social status groups. The sample contains 1,560 retired persons, aged 65 years and older, based on the fifth wave (2014) of the German Ageing Survey. Multiple Poisson regression models were estimated to test our hypotheses. After adjusting for demographic variables, greater individual resources are associated with more regular sports participation. The findings also reveal that positive age perception and healthy behaviours are related to sports participation. Slight mediation effects between the different variables can be observed. Furthermore, the effect structures vary across different social status groups. The findings show that both individual resources and age-specific behaviours and attitudes are independent determinants of sports participation in older age. Our results confirm slight inter-relationships between socio-economic resources and age-specific attitudes.

Background: Personal social capital, which refers to the scope and quality of an individual’s social networks within a community, has received increasing attention as a potential sociological factor associated with better individual health; yet, the mechanism relating social capital to health is still not fully understood. This study examined the associations between social capital and self-rated health while exploring the roles of leisure-time physical activity (LTPA) and socioeconomic status (SES) among middle-aged and older adults. Methods:Cross-sectional data were collected from 662 middle-aged and older adults (Mean age: 58.11±10.59 years old) using the Qualtrics survey panel. Personal Social Capital Scale was used to measure bonding and bridging social capital and the International Physical Activity Questionnaire was used to assess LTPA levels. SES was assessed by education and household income levels. Self-rated health was assessed using a single item, by which the participants were categorized into the two groups, having ‘good’ vs. ‘not good’ self-rated health. A series of univariate and multivariate logistic regression models were established to examine the independent and adjusted associations of social capital with self-rated health and to test mediating and moderating roles of LTPA and SES, respectively.Results:Bonding and bridging social capital were positively associated with self-rated health (Odds ratios = 1.11 and 1.09; P’s <.05, respectively), independent of LTPA that was also significantly associated with greater self-rated health (P-for-linear trends = .007). After adjusting SES, the associations of social capital were significantly attenuated and there was a significant interaction effect by household income (P-for-interaction = .012). Follow-up analyses stratified by household income showed that beneficial associations of social capital with self-rated health were more apparent among the people with low and high levels of household income; yet, LTPA was the stronger predictor of self-rated health among those in the middle class of household income. Conclusions:Findings suggest that both social capital and LTPA are associated with better self-rated health; yet, these associations vary by SES. The health policymakers should address both social capital and LTPA for enhancing perceived health among aging populations but may need to consider varying SES backgrounds.

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