Girls' transition from participation in a modified sport program to club sport competition - A study of longitudinal patterns and correlates
- Eime, Rochelle, Harvey, Jack, Charity, Melanie
- Authors: Eime, Rochelle , Harvey, Jack , Charity, Melanie
- Date: 2018
- Type: Text , Journal article
- Relation: BMC Public Health Vol. 18, no. 1 (2018), p. 1-7
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- Description: Background: Participation in sport is very popular for young children. Many children participate in entry-level modified sports programs. These programs are modified to match the developmental capacity of children and are aimed at development of fundamental motor skills and sport-specific skills, rather than competition. There is limited research on the longitudinal tracking of children in these programs and into club-based competition. Research suggests that most children drop-out of the sport and do not transition into club-based competition. Furthermore, more females than males drop-out of sport. The aim of this study is to investigate longitudinally, the patterns and demographic predictors of children's transition from modified sport programs to club sport competition for females. Methods: This study analysed sport participation for females in a popular Australian, predominantly female, sport. Players of the modified sports program were followed over 4 years to determine their pattern of transition: transition to junior player status, withdraw from the sport, or continue in the modified program. Pattern of transition was compared across age (4-10), geographical region (metropolitan/non-metropolitan) and socio-economic status (SES). Logistic regression was used to model the effect of the three factors on the likelihood of transition. Results: A total of 13,760 female children (aged 4-10) participated in the modified sport in the first year. The majority (59%) transitioned from the modified sport program and into club competition. However the rate of transition varied with age, residential location and socio-economic status, and there was an interaction between region and SES, with SES having a significant influence on transition in the metropolitan region. The peak sport entry age with the highest rates of transition was 7-9 years. Conclusions: This study demonstrated that whilst the majority of female participants continued participantion and tranisitioned from the modified sport program and into club competition, the strongest correlate of transition was age of entry, with transition rate peaking among those who commenced at age 7-9 years. It is recommended that, in order to maximise continued participation, sport policy and strategic developments should consider the possibility that targeting the very young is not the optimum recruitment strategy for fostering continued sport participation. © 2018 The Author(s).
- Authors: Eime, Rochelle , Harvey, Jack , Charity, Melanie
- Date: 2018
- Type: Text , Journal article
- Relation: BMC Public Health Vol. 18, no. 1 (2018), p. 1-7
- Full Text:
- Reviewed:
- Description: Background: Participation in sport is very popular for young children. Many children participate in entry-level modified sports programs. These programs are modified to match the developmental capacity of children and are aimed at development of fundamental motor skills and sport-specific skills, rather than competition. There is limited research on the longitudinal tracking of children in these programs and into club-based competition. Research suggests that most children drop-out of the sport and do not transition into club-based competition. Furthermore, more females than males drop-out of sport. The aim of this study is to investigate longitudinally, the patterns and demographic predictors of children's transition from modified sport programs to club sport competition for females. Methods: This study analysed sport participation for females in a popular Australian, predominantly female, sport. Players of the modified sports program were followed over 4 years to determine their pattern of transition: transition to junior player status, withdraw from the sport, or continue in the modified program. Pattern of transition was compared across age (4-10), geographical region (metropolitan/non-metropolitan) and socio-economic status (SES). Logistic regression was used to model the effect of the three factors on the likelihood of transition. Results: A total of 13,760 female children (aged 4-10) participated in the modified sport in the first year. The majority (59%) transitioned from the modified sport program and into club competition. However the rate of transition varied with age, residential location and socio-economic status, and there was an interaction between region and SES, with SES having a significant influence on transition in the metropolitan region. The peak sport entry age with the highest rates of transition was 7-9 years. Conclusions: This study demonstrated that whilst the majority of female participants continued participantion and tranisitioned from the modified sport program and into club competition, the strongest correlate of transition was age of entry, with transition rate peaking among those who commenced at age 7-9 years. It is recommended that, in order to maximise continued participation, sport policy and strategic developments should consider the possibility that targeting the very young is not the optimum recruitment strategy for fostering continued sport participation. © 2018 The Author(s).
Sport and ageing : A systematic review of the determinants and trends of participation in sport for older adults
- Jenkin, Claire, Eime, Rochelle, Westerbeek, Hans, O'Sullivan, Grant, van Uffelen, Jannique
- Authors: Jenkin, Claire , Eime, Rochelle , Westerbeek, Hans , O'Sullivan, Grant , van Uffelen, Jannique
- Date: 2017
- Type: Text , Journal article , Review
- Relation: BMC Public Health Vol. 17, no. 1 (2017), p. 1-20
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- Description: Background: The global population is ageing. As ageing is often associated with a decline in health, there is a need to further develop preventative health measures. Physical activity can positively influence older adults’ (aged 50 years and older) health. Previous research on the relationship between physical activity and health for older adults has mainly focused on physical activity in general, and not specific types of exercise. Due to the social nature of sport, it may assist in improving physical, mental and social health for older adults. Sport, as a form of physical activity, has not been widely explored as a physical activity opportunity for older adults. This review concurrently explored two research questions: the determinants and the trends of sport participation for community dwelling older adults. Methods: Two parallel systematic searches of nine electronic databases were conducted in December 2015 for the two research questions. English language quantitative and qualitative studies that provided specific results for community dwelling older adults’ sport participation were included and a quality ratings assessment was undertaken. Results: There were 10,171 studies initially identified for the first research question and 1992 studies for the second research question. This culminated in 18 and 8 studies respectively that met the inclusion criteria. The most frequently mentioned determinants of participation were health and using sport to negotiate the ageing process. The most frequently mentioned trends of sport participation were the effect of historical sport participation on current participation, and sport participation across the lifespan. The main themes for both research questions had contrasting results, for example, participation in sport could improve health, but poor health was also a limitation of sport participation. Conclusions: This review demonstrates that older adults are a heterogeneous age group, and therefore require different strategies than other age groups to successfully participate in sport. It is recommended that the main findings from this review are incorporated into specific strategies to develop age appropriate sporting opportunities for older adults, so that sport can be presented as a viable physical activity option for this age group.
- Description: Background: The global population is ageing. As ageing is often
- Authors: Jenkin, Claire , Eime, Rochelle , Westerbeek, Hans , O'Sullivan, Grant , van Uffelen, Jannique
- Date: 2017
- Type: Text , Journal article , Review
- Relation: BMC Public Health Vol. 17, no. 1 (2017), p. 1-20
- Full Text:
- Reviewed:
- Description: Background: The global population is ageing. As ageing is often associated with a decline in health, there is a need to further develop preventative health measures. Physical activity can positively influence older adults’ (aged 50 years and older) health. Previous research on the relationship between physical activity and health for older adults has mainly focused on physical activity in general, and not specific types of exercise. Due to the social nature of sport, it may assist in improving physical, mental and social health for older adults. Sport, as a form of physical activity, has not been widely explored as a physical activity opportunity for older adults. This review concurrently explored two research questions: the determinants and the trends of sport participation for community dwelling older adults. Methods: Two parallel systematic searches of nine electronic databases were conducted in December 2015 for the two research questions. English language quantitative and qualitative studies that provided specific results for community dwelling older adults’ sport participation were included and a quality ratings assessment was undertaken. Results: There were 10,171 studies initially identified for the first research question and 1992 studies for the second research question. This culminated in 18 and 8 studies respectively that met the inclusion criteria. The most frequently mentioned determinants of participation were health and using sport to negotiate the ageing process. The most frequently mentioned trends of sport participation were the effect of historical sport participation on current participation, and sport participation across the lifespan. The main themes for both research questions had contrasting results, for example, participation in sport could improve health, but poor health was also a limitation of sport participation. Conclusions: This review demonstrates that older adults are a heterogeneous age group, and therefore require different strategies than other age groups to successfully participate in sport. It is recommended that the main findings from this review are incorporated into specific strategies to develop age appropriate sporting opportunities for older adults, so that sport can be presented as a viable physical activity option for this age group.
- Description: Background: The global population is ageing. As ageing is often
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.
Non-response bias in estimates of prevalence of club-based sport participation from an Australian national physical activity, recreation and sport survey
- Harvey, Jack, Charity, Melanie, Sawyer, Neroli, Eime, Rochelle
- Authors: Harvey, Jack , Charity, Melanie , Sawyer, Neroli , Eime, Rochelle
- Date: 2018
- Type: Text , Journal article
- Relation: BMC Public Health Vol. 18, no. 1 (2018), p. 1-12
- Full Text:
- Reviewed:
- Description: Background: An estimate of the prevalence of an activity derived from a sample survey is potentially subject to non-response bias, whereby people not involved in the activity are less likely to respond than those involved. Quantifying the extent of non-response bias is generally difficult, since it involves estimating differences between respondents for whom data is directly available from the survey, and non-respondents, for whom data is generally not directly or readily available. However, in the case of the Australian Exercise Recreation and Sport Survey (ERASS), comparative "gold standard" benchmarks exist for some aspects of the survey, in the form of state sporting association (SSA) registration databases, each of which purports to constitute a complete enumeration of club-based players of a particular sport. Methods: ERASS estimates of the prevalence of participation in four major club-based team sports in the Australian state of Victoria in the year 2010 were compared with prevalences based on numbers of registered participants in the corresponding SSA databases. Comparisons were made for the adult population as a whole (ERASS scope being 15+ years of age), and for strata defined by age and geographical region. Because three of the four sports investigated are strongly sex-specific, no sex breakdowns were conducted. In each case the proportion of ERASS respondents reporting participation, with associated confidence limits, was compared with the corresponding SSA count expressed as a proportion of the population, to form an ERASS/SSA prevalence ratio with associated confidence limits. Results: The 24 ERASS/SSA ratios ranged from 1.72 to 7.80. Most ratios lay in the range 2 to 3. The lower 95% confidence bound for the ratio was greater than 1.0 in 23 out of 24 cases. Conclusions: ERASS estimates of prevalence of these particular aspects of sport participation were higher than SSA estimates, to statistically significant degrees. The effect sizes (i.e. the discrepancies represented by the ratios) were large enough to be of great practical importance. It is conjectured that non-response bias is the most likely explanation for the discrepancies.
- Authors: Harvey, Jack , Charity, Melanie , Sawyer, Neroli , Eime, Rochelle
- Date: 2018
- Type: Text , Journal article
- Relation: BMC Public Health Vol. 18, no. 1 (2018), p. 1-12
- Full Text:
- Reviewed:
- Description: Background: An estimate of the prevalence of an activity derived from a sample survey is potentially subject to non-response bias, whereby people not involved in the activity are less likely to respond than those involved. Quantifying the extent of non-response bias is generally difficult, since it involves estimating differences between respondents for whom data is directly available from the survey, and non-respondents, for whom data is generally not directly or readily available. However, in the case of the Australian Exercise Recreation and Sport Survey (ERASS), comparative "gold standard" benchmarks exist for some aspects of the survey, in the form of state sporting association (SSA) registration databases, each of which purports to constitute a complete enumeration of club-based players of a particular sport. Methods: ERASS estimates of the prevalence of participation in four major club-based team sports in the Australian state of Victoria in the year 2010 were compared with prevalences based on numbers of registered participants in the corresponding SSA databases. Comparisons were made for the adult population as a whole (ERASS scope being 15+ years of age), and for strata defined by age and geographical region. Because three of the four sports investigated are strongly sex-specific, no sex breakdowns were conducted. In each case the proportion of ERASS respondents reporting participation, with associated confidence limits, was compared with the corresponding SSA count expressed as a proportion of the population, to form an ERASS/SSA prevalence ratio with associated confidence limits. Results: The 24 ERASS/SSA ratios ranged from 1.72 to 7.80. Most ratios lay in the range 2 to 3. The lower 95% confidence bound for the ratio was greater than 1.0 in 23 out of 24 cases. Conclusions: ERASS estimates of prevalence of these particular aspects of sport participation were higher than SSA estimates, to statistically significant degrees. The effect sizes (i.e. the discrepancies represented by the ratios) were large enough to be of great practical importance. It is conjectured that non-response bias is the most likely explanation for the discrepancies.
Levels and determinants of complementary feeding based on meal frequency among children of 6 to 23 months in Bangladesh
- Chowdhury, Mohammad, Rahman, Shafiur, Khan, Mobarak
- Authors: Chowdhury, Mohammad , Rahman, Shafiur , Khan, Mobarak
- Date: 2016
- Type: Text , Journal article
- Relation: BMC public health Vol. 16, no. 1 (2016), p. 944
- Full Text:
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- Description: Information concerning complementary feeding (CF) practice during infancy and early childhood is still scarce in Bangladesh. Therefore, this study aimed to estimate the level of CF among children of 6-23 months and identify individual, household and community level determinants in Bangladesh.
- Authors: Chowdhury, Mohammad , Rahman, Shafiur , Khan, Mobarak
- Date: 2016
- Type: Text , Journal article
- Relation: BMC public health Vol. 16, no. 1 (2016), p. 944
- Full Text:
- Reviewed:
- Description: Information concerning complementary feeding (CF) practice during infancy and early childhood is still scarce in Bangladesh. Therefore, this study aimed to estimate the level of CF among children of 6-23 months and identify individual, household and community level determinants in Bangladesh.
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