7 resultados para Sports activities

em Deakin Research Online - Australia


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Objective: It is widely recognised that individuals residing in regional or rural areas have poorer health outcomes than those from metropolitan areas. Factors associated with these poorer health outcomes include geographical isolation, population declines, limited health care provision and higher levels of inactivity compared to urban areas. The mental, social and physical health of individuals and communities in rural areas can be improved through active participation in sport and recreation activities. Unfortunately, participation in such activities can potentially lead to injury. There is a suggestion that there is an increased risk of sports injuries in rural areas due to the lack of health professionals and coaching personnel, fewer available volunteers to organise and deliver sport, and the general attitude towards injuries in rural settings.

Results: There is very limited information about the number and types of injuries sustained during participation in sports activities in rural and regional settings. This is largely related to a lack of formal sporting structures and support mechanisms including research funding and trained personnel.

Conclusion: A range of factors need to be implemented to improve safety for sporting and recreational participants in these areas. These include improved monitoring of injury occurrence, stronger promotion of safety initiatives and wider implementation of education strategies.

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Introduction: The aim of the research was to determine the relationship between levels of participation in a community and self-assessed health status of people in a rural and regional setting.
Method: A cross-sectional design, using a mailed, self-administered questionnaire was used. Questionnaires were mailed to a random sample of people aged 18 years and over who were registered on the electoral roll of a regional city and rural area, the Barwon and Otway regions of Victoria, Australia. The sample consisted of 1752 participants: 990 females (57%), 739 males (42%) and 23 sex undisclosed (1%). The range of participants was 18-98 years, and the mean age was 50.53 years (SD = 17.19).
Results: Self-assessed physical and mental health were measured using the SF-12 scale. Participants with low incomes, and those with low self-assessed physical and mental health scores, were significantly more likely than other participants to agree with one or more of the social isolation items, indicating that they experienced some social isolation. Low levels of participation in social, sports, leisure or support activities were associated with low self-assessed physical and mental health. Disengagement with the local community was associated with low levels of self-assessed mental health. While younger people were more likely than older people to participate in social, sports, leisure or support activities, they were less involved as members of their community. Females were more likely than males to have been involved in five or more sports, leisure or support activities. Participation in civic activities was associated with high income. Levels of participation in the four different types of activities were combined (social activities, sport, leisure or support activities, community and group activities, and civic activities). Participants classified as low participators were more likely to be older participants, to have a low income and to have low scores for both physical and mental health.
Conclusions: An association was found between health and community participation in a range of activities, and between health and engagement with the community in this rural and regional population. These findings are consistent with those reported from similar research with a metropolitan population sample. The current research suggests that the groups of people of most concern in terms of low participation rates, are people who have low incomes, people aged over 65 years, people who may be defined as possessing poor physical health and people who may be defined as possessing poor mental health. The relationship between age, community participation and health is complex and needs further exploration because it is not known whether poor health reduces community participation or whether reduced community participation results in poor health. However, current research suggests that developing and implementing strategies to promote people's engagement with and involvement in their local community is one important way of promoting the health of the community as a whole.

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Overweight and obesity rates among children in Australia have increased twofold in the last decade. Physical activity is thought to play an important role in the prevention and treatment of childhood obesity. Children's physical activity data in Australia are incomplete and mainly based on parental proxy reports. One of the reasons for the lack of children's physical activity prevalence data in Australia is the difficulties of measurement. The aim of this study was to develop and examine a reliable, valid and feasible method for assessing physical activity among primary school aged children. A total of 112 grade 5 and 6 children and their parents were recruited from four state primary schools in the eastern and western suburbs of Melbourne. The test-retest reliability of a parental proxy physical activity questionnaire and a children's self report physical activity questionnaire was assessed. The criterion validity of the questionnaires was assessed using accelerometry. Findings suggest that the self report and proxy report questionnaires provided reliable measures of the type, frequency and duration of children's physical activity behaviour. Overall, the criterion validity of the questionnaires was poor. Although accelerometry as an objective measure shows promise, it does not provide the important physical activity behavioural and contextual information that is critical for the development of strategies to promote physical activity among children. We recommend that a combination of self report or proxy and objective measurement (using accelerometry or even pedometry) appears to be the current 'best buy' in the assessment of children's physical activity behaviour.

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The acute decision prompting effects of social marketing via television (TV) advertisements promoting physical activity to children are unknown. This pilot study aimed to determine the acute effects of an Australian government-sponsored TV advertisement (called ‘Get Moving’), promoting more physical activity and less sedentary behaviour, on children's choices, preferences, and ratings of liking for physical activities and sedentary behaviours. Thirty-one children aged 10–12 years were recruited from a single public school, and randomised to one of two treatment groups or two control groups (Solomon four-group design). Treatment participants watched an episode of The Simpsons® embedded every 10 min with three 30 s Get Moving advertisements plus standard advertisements. Control participants watched the same episode plus standard advertisements, but without the Get Moving advertisements. The following dependent variables were assessed immediately before and/or after exposure: activity preference (participants selected either verbally or by pointing to one of eight picture cards depicting four physical activities and four sedentary behaviours); ratings of liking (participants rated how much they liked or disliked each of these activities/behaviours either verbally or by pointing to one of nine values with an adjacent smile or frown on a Likert-type scale); and time spent in physical activities was assessed by direct observation during a 10 min free-time session. No significant effects or trends were seen for any of the dependent variables. Further research is needed to determine whether different content and/or higher doses of exposure to physical activity promoting advertisements are needed to influence children's activity choices.

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Sports injury prevention has been the focus of a number of recent public health initiatives due to the acknowledgement that sports injuries are a significant public health problem in Australia Whilst Australian football is one of the most popular participation sports in the country, only very limited data is available about football injuries The majority of sports injury data available for this sport is from hospital emergency departments and elite-level injury surveillance Overall there is a paucity of data from treatment settings other than hospitals In particular, there is a lack of information about the injuries sustained by community-level, junior and recreational Australian football participants. One good potential source of football injury data is sports medicine clinics. Analysis of injury presentations to sports medicine clinics was undertaken to provide a detailed description of the epidemiology of Australian football injuries that present to this treatment setting and to determine the implications for injury prevention in this sport. In addition, the data from sports medicine clinics was compared with existing sources of Australian football injury data to determine how representative sports medicine clinic data is of other football injury data sources and to provide recommendations for future injury surveillance n Australian football. The results contained in this thesis show that Australian football is the sport most associated with injury presentation at sports medicine clinics. The majority of injured Australian football players presenting to sports medicine clinics are community-level or junior participants which suggests that sports medicine clinics are a good source of information on the injuries sustained by sub-elite football participants. Competition is the most common context in which Australian football players presenting to sports medicine clinics are injured. The major causes of injuries to Australian football players are being struck by another player, collisions and overuse. Injuries to Australian football players predominantly involve the lower limb. Adult players, players who stopped participating immediately after noticing their injury and players with overuse injuries are the most likely to sustain a more severe injury (i.e. more than four weeks before a full return to football participation and a moderate/significant amount of treatment expected). The least experienced players (five or less years of participation) are more likely to require a significant amount of treatment than the more experienced players. The prevention of lower limb injuries, injuries caused by body contact and injuries caused by overuse should be a priority for injury prevention research in Australian football due to the predominance of these injury types in the pattern of Australian football injuries Additionally, adult players, as a group, should be a focus of injury prevention activities in Australian football due to the association between age and injury severity. Overall, the pattern of Australian football injuries presenting to sports medicine clinics appears to be different than reported by club-based and hospital emergency department injury surveillance activities. However, detailed comparison of sports medicine clinic Australian football data with other sources of Australian football injury data is difficult due to the variable methods of collecting and reporting injury information used by hospital emergency department and club-based injury surveillance activities. The development of a standardised method for collecting and reporting injury data in Australian football is strongly recommended to overcome the existing limitations of data collection in this sport. In summary, sports medicine clinics provide a rich source of Australian football injury data, especially from the community and junior levels of participation. The inclusion of sports medicine clinic data provides a broader epidemiological picture of Australian football injuries. This broader understanding of the pattern of Australian football injuries provides a better basis for the development of injury prevention measures in this sport.

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There is some evidence, in the form of critical descriptions of programs and systematic reviews, on the benefits to Aboriginal and Torres Strait Islander communities from participation in sport and recreational programs. These include some improvements in school retention, attitudes towards learning, social and cognitive skills, physical and mental health and wellbeing; increased social inclusion and cohesion; increased validation of and connection to culture; and crime reduction.Although the effects of sports and recreation programs can be powerful and transformative, these effects tend to be indirect. For example, using these programs to reduce juvenile antisocial behaviour largely work through diversion, providing alternative safe opportunities to risk taking, maintenance of social status, as wellas opportunities to build healthy relationships with Elders and links with culture.Although Indigenous Australians have lower rates of participation in sport than non-Indigenous people, surveys suggest that around one-third of Indigenous people participate in some sporting activity (ABS 2010). That makes sports a potentially powerful vehicle for encouraging Indigenous communities to look at challenging personal and community issues.Within Indigenous communities, a strong component of sport and recreation is the link with traditional culture. Cultural activities such as hunting are generally more accepted as a form of sport and recreation than traditional dance. Therefore sport and recreation are integral in understanding ‘culture’ within Indigenous communities, as well as highlighting the culture within which sport and recreation operate.

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Wearable tracking devices incorporating accelerometers and gyroscopes are increasingly being used for activity analysis in sports. However, minimal research exists relating to their ability to classify common activities. The purpose of this study was to determine whether data obtained from a single wearable tracking device can be used to classify team sport-related activities. Seventy-six non-elite sporting participants were tested during a simulated team sport circuit (involving stationary, walking, jogging, running, changing direction, counter-movement jumping, jumping for distance and tackling activities) in a laboratory setting. A MinimaxX S4 wearable tracking device was worn below the neck, in-line and dorsal to the first to fifth thoracic vertebrae of the spine, with tri-axial accelerometer and gyroscope data collected at 100Hz. Multiple time domain, frequency domain and custom features were extracted from each sensor using 0.5, 1.0, and 1.5s movement capture durations. Features were further screened using a combination of ANOVA and Lasso methods. Relevant features were used to classify the eight activities performed using the Random Forest (RF), Support Vector Machine (SVM) and Logistic Model Tree (LMT) algorithms. The LMT (79-92% classification accuracy) outperformed RF (32-43%) and SVM algorithms (27-40%), obtaining strongest performance using the full model (accelerometer and gyroscope inputs). Processing time can be reduced through feature selection methods (range 1.5-30.2%), however a trade-off exists between classification accuracy and processing time. Movement capture duration also had little impact on classification accuracy or processing time. In sporting scenarios where wearable tracking devices are employed, it is both possible and feasible to accurately classify team sport-related activities.