Sport participation settings : where and 'how' do Australians play sport?
- Eime, Rochelle, Harvey, Jack, Charity, Melanie
- Authors: Eime, Rochelle , Harvey, Jack , Charity, Melanie
- Date: 2020
- Type: Text , Journal article
- Relation: BMC Public Health Vol. 20, no. 1 (2020), p.
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- Description: Background: Leisure-time physical activity and sport participation trends are often reported, both in aggregate and by specific activity. Recently there has been a rise in overall leisure-time physical activity, but little change in the prevalence of organised sport. It is important that the development of sport policy, infrastructure and strategic developments meet the changing landscape of participation. However, there has been relatively little research into the settings in which people participate. The aim of this study is to investigate the settings of participation of children and adults in 12 major Australian sports. Methods: This study utilised data about participation in sport and recreational physical activity collected in the AusPlay survey from a representative sample of adults and children in the Australian state of Victoria. For each type of physical activity, the settings of participation are identified. Respondents can report participation in a particular activity in more than one setting. Therefore we use the term "instance of participation"to refer to a person playing a particular sport in a particular setting. Participation and settings across 12 major sports were investigated for children and adults. Results: For children, the most popular sport was swimming with a weighted estimate of 323,565 (30.3%) instances of participation in the Victorian population, followed by Australian football (n = 180,459; 16.9%), and basketball (n = 137,169; 12.9%). For adults the most popular sports were swimming (n = 703,950; 30.9%) followed by golf (n = 274,729; 12.1%), and tennis (n = 260,814; 11.4%). There were considerable differences between the profiles of settings of participation for the 12 sports. Across the 12 sports, the majority of participation by children took place within a sports club or association setting, representing 63% of all instances of sport participation. For adults, sports clubs and associations was also the most popular setting, but it represented only 37% of instances of participation. Conclusions: Traditionally, community clubs and inter-club competitions provided the main setting for sport participation, but this is no longer the case, particularly for adults. If the community sport sector is to continue to flourish, it must consider new strategies and participation options more attractive to other segments of its potential market. © 2020 The Author(s).
- Authors: Eime, Rochelle , Harvey, Jack , Charity, Melanie
- Date: 2020
- Type: Text , Journal article
- Relation: BMC Public Health Vol. 20, no. 1 (2020), p.
- Full Text:
- Reviewed:
- Description: Background: Leisure-time physical activity and sport participation trends are often reported, both in aggregate and by specific activity. Recently there has been a rise in overall leisure-time physical activity, but little change in the prevalence of organised sport. It is important that the development of sport policy, infrastructure and strategic developments meet the changing landscape of participation. However, there has been relatively little research into the settings in which people participate. The aim of this study is to investigate the settings of participation of children and adults in 12 major Australian sports. Methods: This study utilised data about participation in sport and recreational physical activity collected in the AusPlay survey from a representative sample of adults and children in the Australian state of Victoria. For each type of physical activity, the settings of participation are identified. Respondents can report participation in a particular activity in more than one setting. Therefore we use the term "instance of participation"to refer to a person playing a particular sport in a particular setting. Participation and settings across 12 major sports were investigated for children and adults. Results: For children, the most popular sport was swimming with a weighted estimate of 323,565 (30.3%) instances of participation in the Victorian population, followed by Australian football (n = 180,459; 16.9%), and basketball (n = 137,169; 12.9%). For adults the most popular sports were swimming (n = 703,950; 30.9%) followed by golf (n = 274,729; 12.1%), and tennis (n = 260,814; 11.4%). There were considerable differences between the profiles of settings of participation for the 12 sports. Across the 12 sports, the majority of participation by children took place within a sports club or association setting, representing 63% of all instances of sport participation. For adults, sports clubs and associations was also the most popular setting, but it represented only 37% of instances of participation. Conclusions: Traditionally, community clubs and inter-club competitions provided the main setting for sport participation, but this is no longer the case, particularly for adults. If the community sport sector is to continue to flourish, it must consider new strategies and participation options more attractive to other segments of its potential market. © 2020 The Author(s).
Demographic characteristics and type/frequency of physical activity participation in a large sample of 21,603 Australian people
- Eime, Rochelle, Harvey, Jack, Charity, Melanie, Nelson, Rayoni
- Authors: Eime, Rochelle , Harvey, Jack , Charity, Melanie , Nelson, Rayoni
- Date: 2018
- Type: Text , Journal article
- Relation: Bmc Public Health Vol. 18, no. 1 (2018), p. 1-10
- Full Text:
- Reviewed:
- Description: Background: Regular physical activity (PA) is imperative for good health and there are many different ways that people can be active. There are a range of health, PA and sport policies aiming to get more people active more often. Much research has been directed towards understanding the determinants of inactivity and PA. However, it is important to understand the differences not only between inactive and active people, but also between activity contexts (for example participation in sport compared to non-sport activities), in order to align policies and strategies to engage market segments who have different participation preferences and accessibility. The aim of this study was to investigate demographic correlates of the propensity to be physically inactive or active within different contexts, and at different levels of frequency of participation. Methods: Data from the Australian Exercise, Recreation and Sport Survey was used for this analysis. This included information on the type, frequency and duration of leisure-time PA for Australians aged 15 years and over. Reported PA participation in the two-week period prior to the survey was used to allocate respondents into three categories: no PA, non-sport PA only, and sport. Subsequently, sport participants were further categorised according to frequency of participation. Potential demographic correlates included sex, age, education, employment, marital status, language spoken, having a condition that restricts life, children, and socio-economic status. Results: The survey included 21,603 people. Bivariate chi-squared analysis showed that there were significant differences between the profiles of leisure-time PA participation across all demographic variables, except the variable languages spoken at home. Ordinal regression analysis showed that the same demographic variables were also correlated with the propensity to engage in more organised and competitive PA contexts, and to participate more frequently. Conclusions: People who were female, older, married or had a disability were less likely to participate in sport. Therefore when designing PA opportunities to engage those who are inactive, particularly those that are organised by a club or group, we need to ensure that appropriate strategies are developed, and tailored sport products offered, to ensure greater opportunities for increased diversity of participation in sport.
- Authors: Eime, Rochelle , Harvey, Jack , Charity, Melanie , Nelson, Rayoni
- Date: 2018
- Type: Text , Journal article
- Relation: Bmc Public Health Vol. 18, no. 1 (2018), p. 1-10
- Full Text:
- Reviewed:
- Description: Background: Regular physical activity (PA) is imperative for good health and there are many different ways that people can be active. There are a range of health, PA and sport policies aiming to get more people active more often. Much research has been directed towards understanding the determinants of inactivity and PA. However, it is important to understand the differences not only between inactive and active people, but also between activity contexts (for example participation in sport compared to non-sport activities), in order to align policies and strategies to engage market segments who have different participation preferences and accessibility. The aim of this study was to investigate demographic correlates of the propensity to be physically inactive or active within different contexts, and at different levels of frequency of participation. Methods: Data from the Australian Exercise, Recreation and Sport Survey was used for this analysis. This included information on the type, frequency and duration of leisure-time PA for Australians aged 15 years and over. Reported PA participation in the two-week period prior to the survey was used to allocate respondents into three categories: no PA, non-sport PA only, and sport. Subsequently, sport participants were further categorised according to frequency of participation. Potential demographic correlates included sex, age, education, employment, marital status, language spoken, having a condition that restricts life, children, and socio-economic status. Results: The survey included 21,603 people. Bivariate chi-squared analysis showed that there were significant differences between the profiles of leisure-time PA participation across all demographic variables, except the variable languages spoken at home. Ordinal regression analysis showed that the same demographic variables were also correlated with the propensity to engage in more organised and competitive PA contexts, and to participate more frequently. Conclusions: People who were female, older, married or had a disability were less likely to participate in sport. Therefore when designing PA opportunities to engage those who are inactive, particularly those that are organised by a club or group, we need to ensure that appropriate strategies are developed, and tailored sport products offered, to ensure greater opportunities for increased diversity of participation in sport.
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