Group dynamics in Canadian recreational team sports later in life

Gayman, Amy M.; Eys, Mark A.; Coleman, Taylor

doi:10.1016/j.psychsport.2022.102137

Cited by 7 publications

(5 citation statements)

References 32 publications

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“…The segmentation of sports injury ultrasound medical images is to establish a sports injury ultrasound medical image segmentation model for the feature location of the image, use the fuzzy feature analysis method to detect sports injury ultrasound medical images and information fusion identification, and improve sports injuries. The optimized detection and recognition ability of ultrasound medical images and the related sports injury ultrasound medical image segmentation methods are of great significance in sports injury analysis [7]. For domestic scholars whose detection object is obtained by using ultrasonic waves, extraction of characteristic parameters is completed according to the image and the extraction results of characteristic the method to complete the damage identification.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Algorithm in Biomedical Engineering in Intelligent Automatic Processing and Analysis of Sports Images

Bao

Bei

Xiang

et al. 2022

Wireless Communications and Mobile Computing

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In order to improve the detection and identification ability of sports injury ultrasound medicine, a segmentation method of sports injury ultrasound medical image based on local features is proposed, and the research on the sports injury ultrasound medical detection and identification ability is carried out. Methods of the sports injury ultrasound medical image segmentation model are established; the sports injury ultrasound medical image information is enhanced by using the sports skeletal muscle block matching technology; the image features are extracted; and the characteristics of sports injury ultrasound medical images are analyzed by CT bright spot feature transmission. In detail, combined with the deep convolutional neural network training method, the extracted sports injury points are automatically detected for sports injury ultrasound medical images, and the sports injury ultrasound medical image segmentation is realized. The simulation results show that this method has high accuracy for sports injury ultrasound medical image segmentation, the error value can be controlled below 0.103, and finally, the effect of zero error is achieved. It is confirmed that the method proposed in this paper has high resolution and accuracy for sports injury point detection and has strong practical application ability.

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Section: Introductionmentioning

confidence: 99%

Deep Learning Algorithm in Biomedical Engineering in Intelligent Automatic Processing and Analysis of Sports Images

Bao

Bei

Xiang

et al. 2022

Wireless Communications and Mobile Computing

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“…Research suggests that companionship SOSU and PA have a close and bidirectional relationship. Specifically, engaging in PA in a group setting appears to be a critical factor in encouraging older adults to participate in regular exercise [ 22 , 25 , 81 , 94 , 97 , 100 , 102 , 103 , 115 – 117 , 119 , 120 , 123 ]. In addition to promoting PA, companionship SOSU also serves as an essential means of maintaining social connections for older adults, thereby improving their overall well-being.…”

Section: Resultsmentioning

confidence: 99%

Physical activity and functional social support in community-dwelling older adults: a scoping review

Steinhoff,

Reiner

2024

BMC Public Health

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Background Globally, the population of older people is increasing and is estimated to reach nearly 2.1 billion by 2050. Physical activity (PA) is one of the key components for successful ageing. However, PA decreases with age and many older adults do not meet PA guidelines. Previous research has shown that social support (SOSU) is related to PA in older people. The aim of this scoping review is to identify and map all of the available evidence and to explore the association between functional SOSU and PA in older adults. Functional SOSU consists of emotional, informational, instrumental and companionship SOSU and social comparison. Methods A scoping review was conducted using the Joanna-Briggs manual. Quantitative and qualitative studies investigating associations between functional SOSU and PA levels in older adults (mean age ≥ 60 years) were identified through a systematic search in seven electronic databases up to August 2023. After removing duplicates, 20,907 articles were screened for titles and abstracts. The results were analysed separately for different types of SOSU. Results 116 articles met the inclusion criteria; 72% were quantitative studies and 28% were qualitative studies. Most studies used self-reported PA measures, only 23% of the studies used objective-reported PA measures. Most studies of SOSU for PA reported positive associations but the evidence is inconclusive when the source of support is considered. PA is positively associated with general, emotional, informational, and companionship SOSU, while instrumental support may occasionally be negatively associated. Companionship support is particularly influential on PA, especially in group settings, as it promotes social connectedness. Qualitative studies show that social comparison also supports PA. Different forms of SOSU generally show positive associations with PA. Conclusions While the evidence on the association between functional SOSU and PA is mixed, most studies show that there is a positive association. PA may also be a strategy for improving social contact and social integration. This study offers a comprehensive overview of measures for SOSU and PA and thereby informs future research and policy-making.

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“…The sports phenomenon is a social phenomenon and becomes the identity of a group living in a particular place (Kaplan, 2013;Naumenko, 2018b). Recreational sports will gradually change the dynamics of life (Gayman et al, 2022;Hanani, 2017). By carrying out recreational sports activities, people will become more active in moving and building relationships between individuals (Arundell et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Phenomenological Study: Recreational Sports in Urban Society

Wibowo,

Hulu,

Dese

2023

Ind. Jo. Spo. Man.

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People in the city have unique lifestyles and thoughts. Most people do not have time to do social activities because they are busy with various jobs. Urban people engage in sports activities for several reasons, such as reducing stress caused by their work and building social relationships. This research aims to collect data to provide an overview or confirmation of a concept regarding the phenomenon of recreational sports in the community in the city of Salatiga. Descriptive qualitative with a phenomenological approach. The subjects in this research were the people of Salatiga who played recreational sports. Data was obtained using in-depth interview methods with research subjects. The data analysis technique was carried out using Milles & Huberman; namely, data analysis carried out interactively includes four analysis components: Collection of data obtained from interviews, observations and documentation, Data reduction, Data presentation, and Interesting conclusion. The people of Salatiga City interpret recreational sports very well but still need to improve infrastructure. Recreational sports are a form of social phenomenon in the people of Salatiga city. Become reference material and consideration for maintaining and developing recreational sports for society as a sustainable social phenomenon identity.

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Group dynamics in Canadian recreational team sports later in life

Cited by 7 publications

References 32 publications

Deep Learning Algorithm in Biomedical Engineering in Intelligent Automatic Processing and Analysis of Sports Images

Deep Learning Algorithm in Biomedical Engineering in Intelligent Automatic Processing and Analysis of Sports Images

Physical activity and functional social support in community-dwelling older adults: a scoping review

Phenomenological Study: Recreational Sports in Urban Society

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