Sport Club Participation and Health-Related Outcomes in College Students: Comparisons by Sex and Academic Classification

Chu, Tsz Lun; Zhang, Tao

doi:10.1123/rsj.2016-0030

Cited by 15 publications

(11 citation statements)

References 33 publications

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“…e body composition indicators of the study subjects changed greatly, among which lean body mass and muscle mass increased significantly. ere was no significant change in fat mass in boys before and after exercise, but there was a significant change in girls [23]. In addition, there was no significant change in the weight data of the researchers themselves (P > 0.05).…”

Section: Discussionmentioning

confidence: 78%

The Effect of Jogging on the Physical Health of College Students Based on Intelligent Computing

Liang

Wan

Jiang

2022

Mobile Information Systems

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Intelligent computing is an environment-adaptive computing method developed by using various mechanisms of physical or natural phenomena. The university stage is a critical period for a person’s physical and mental development. Healthy psychology and physical quality are the basic characteristics of students’ talents and a reliable guarantee for students’ normal study, life, and work. The purpose of this article is to study how to analyze and study the impression of jogging on the physical health of college students based on intelligent computing and describe the intelligent computing algorithm. This article puts forward the problem of the impact of jogging on the body, which is based on intelligent computing, elaborates on the concept of intelligent computing and related algorithms, and designs and analyzes the impact of jogging. The experimental results showed that after 5 months of jogging, there was no significant difference in the height and weight of the subjects. The body fat percentage of boys decreased significantly before and after exercise, but there was no significant difference after the statistical test (P > 0.05), from 20.42 ± 2.53 to 20.21 ± 3.28. The body fat percentage of girls decreased significantly, with a significant difference (P < 0.05), from 29.43 ± 4.27 to 25.72 ± 2.94.

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Section: Discussionmentioning

confidence: 78%

The Effect of Jogging on the Physical Health of College Students Based on Intelligent Computing

Liang

Wan

Jiang

2022

Mobile Information Systems

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“…Studies also investigated the experiences of students with physical disabilities (e.g., Devine, 2016; Dysterheft et al, 2018; McKay et al, 2019), the design of adaptive programing (e.g., Fines & Block, 2021; Gillies & Dupuis, 2013; Shapiro et al, 2020) and the prevalence of programing for vulnerable populations (e.g., Horacek et al, 2014; Zuest et al, 2021). Some scholars also examined participation trends among students registered in specific educational programs (e.g., Gathman et al, 2017; Slade & Kies, 2015), differences between undergraduate and graduate students (e.g., Henchy, 2013) and participation among first year students (e.g., Chu & Zhang, 2018; Deng et al, 2021; Helms & Moiseichik, 2018).…”

Section: Resultsmentioning

confidence: 99%

A Review of Campus Recreation and Sport-Based Experience Literature in Higher Education Contexts

Wilson

2022

Recreational Sports Journal

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This rapid review was conducted to synthesize the empirical research related to campus recreation participatory experiences that was published between 2011 and 2021. To carry out the review, three databases (SPORTDiscus, Web of Science, Scopus) were systematically searched for peer reviewed empirical literature related to campus recreation participatory sport experiences. The results were then screened with predetermined criteria and 180 studies remained for data extraction. Data was extracted and trends were identified for discussion. When comparing the results to a similar review conducted on literature published between 1998–2010 (cf. Barcelona & Sweeney, 2012), the results of the reveal that the use of theory is becoming increasingly prevalent as scholars are more regularly providing theoretical frameworks, key constructs and discussing scholarly contributions. The review also revealed limitations such as inconsistencies with measurement and that most studies have been conducted at single institutions, which should both be addressed in future research.

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“…Nonetheless, mental health promotion and helping students become physically active on a regular basis are recommendations for improvement in mental wellbeing among students [ 40 – 42 ]. A US-based study showed that sports club participation in college students is associated with positive health-related outcomes [ 41 ]. Also aligned, Australian students with higher sports club involvement have a positive and significant association with social-emotional wellbeing indicators, such as happiness, resilience, and body image, whereas low involvement in sports club is associated with a greater incidence of mental health diagnosis [ 43 ].…”

Section: Discussionmentioning

confidence: 99%

The clusters of health-risk behaviours and mental wellbeing and their sociodemographic correlates: a study of 15,366 ASEAN university students

et al. 2022

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Background This study investigated, through cluster analysis, the associations between behavioural characteristics, mental wellbeing, demographic characteristics, and health among university students in the Association of Southeast Asian Nations (ASEAN) University Network – Health Promotion Network (AUN-HPN) member universities. Methods Data were retrieved from a cross-sectional self-administered online survey among undergraduate students in seven ASEAN countries. A two-step cluster analysis was employed, with cluster labels based on the predominant characteristics identified within the clusters. The ‘healthy’ cluster was assigned as the reference group for comparisons using multinomial logistic regression analysis. Results The analytic sample size comprised 15,366 university students. Five clusters of student-types were identified: (i) ‘Healthy’ (n = 1957; 12.7%); (ii) ‘High sugary beverage consumption’ (n = 8482; 55.2%); (iii) ‘Poor mental wellbeing’ (n = 2009; 13.1%); (iv) ‘Smoker’ (n = 1364; 8.9%); and (v) ‘Alcohol drinker’ (n = 1554; 10.1%). Being female (OR 1.28, 95%CI 1.14, 1.45) and being physically inactive (OR 1.20, 95%CI 1.04, 1.39) increased the odds of belonging to the ‘High sugary beverage consumption’ cluster. Being female (OR 1.21, 95%CI 1.04, 1.41), non-membership in a sports club (OR 1.83, 95%CI 1.43, 2.34) were associated with ‘Poor mental wellbeing’. Obesity (OR 2.03, 95%CI 1.47, 2.80), inactively commuting to campus (OR 1.34, 95%CI 1.09, 1.66), and living in high-rise accommodation (OR 2.94, 95%CI 1.07, 8.07) were associated with membership in the ‘Smoker’ cluster. Students living in The Philippines, Singapore, Thailand, and Vietnam had a higher likelihood of being alcohol drinkers, compared with those who lived in Brunei. Conclusions ASEAN university students exhibited health-risk behaviours that typically clustered around a specific health behaviour and mental wellbeing. The results provided support for focusing interventions on one dominant health-risk behaviour, with associated health-risk behaviours within clusters being potential mediators for consideration.

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Sport Club Participation and Health-Related Outcomes in College Students: Comparisons by Sex and Academic Classification

Cited by 15 publications

References 33 publications

The Effect of Jogging on the Physical Health of College Students Based on Intelligent Computing

The Effect of Jogging on the Physical Health of College Students Based on Intelligent Computing

A Review of Campus Recreation and Sport-Based Experience Literature in Higher Education Contexts

The clusters of health-risk behaviours and mental wellbeing and their sociodemographic correlates: a study of 15,366 ASEAN university students

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