The Effect of the Physical Activities of University Students on the Activities such as Participation Motivation and Sport Commission on Activity Behavior and Practice Education

2021 ◽  
Vol 86 ◽  
pp. 261-274
Author(s):  
Beom-Jun Kim
2021 ◽  
Vol 7 (2) ◽  
pp. 545-561
Author(s):  
Abdullah Sencer Temel ◽  
Yalçın Tükel

This study aims to examine the relationship between university students’ perceived health outcomes and happiness levels that result from engaging in recreational activities. The study evaluates this relationship using certain variables. The data were gathered from 652 students from various universities in Turkey. Appropriate sampling methods were used. The initial findings indicate that the highest score was obtained in the ‘improvement condition’ of health outcomes among university students. It shows that they are more likely to engage with physical activities for health purposes. Furthermore, all sub-dimensions of PHORS and the happiness scale significantly differed according to income and active-passive participation variables. This study further demonstrates a significant positive relationship between perceived health outcomes sub-scales and happiness among the students.


2020 ◽  
Author(s):  
Shu Ling Tan ◽  
Malte Jetzke ◽  
Vera Vergeld ◽  
Carsten Müller

BACKGROUND Mental health is an emerging topic on university campuses, with students reporting higher levels of psychological distress than the general population of the same age. Increasing physical activity and reducing sedentary time have been proved promising measures to promote mental health in the general population. However, to derive and implement effective measures to promote mental health among university students, further exploration of the associations between physical activity, sedentary time, and perceived stress in this specific setting is needed. OBJECTIVE This study aims to identify associations between physical activity, sedentary time, and perceived stress after controlling for sociodemographic and behavioral variables among university students in Germany. We hypothesize that perceived stress is inversely related to physical activity and positively associated with sedentary time. Furthermore, we hypothesize that combined associations of concurrently high physical activity and low sedentary time on perceived stress are stronger compared with either alone and that the association between physical activity and perceived stress depends on activity intensity. METHODS We conducted cross-sectional analyses from a large-scale internet-based student health survey (n=4189; response rate=10.0%). Physical activity, sedentary time, and engaging in moderate and vigorous activity intensities were assessed using the International Physical Activity Questionnaire Short Form with categorization into low, intermediate, and high levels. We measured perceived stress using the 10-item Perceived Stress Scale (range 0-40). RESULTS The results indicate that higher physical activity and lower sedentary time are associated with reduced levels of perceived stress. Following adjustment for gender, BMI, income, fruit and vegetable intake, alcohol consumption, and sleep quality, perceived stress scores were lower for students reporting high physical activity levels and low sedentary time compared with the least active and highly sedentary students (Perceived Stress Scale –2.2, 95% CI –2.9 to –1.5, <i>P</i>&lt;.001 for physical activity and –1.1, CI 95% –1.7 to –0.5, <i>P</i>&lt;.001 for sedentary time). Combined associations with perceived stress revealed that students concurrently reporting high total physical activity and low sedentary time reported the lowest perceived stress scores of all possible combinations following adjustment for confounders (Perceived Stress Scale –3.5, CI 95% –4.6 to –2.5, <i>P</i>&lt;.001 compared with students reporting low physical activity levels and concurrently high sedentary time). Associations between vigorous physical activities and perceived stress were not stronger compared with moderate activity intensities. CONCLUSIONS Self-reported physical activity and low sedentary time are favorably associated with perceived stress, while the intensity of physical activities seems to be of minor importance. These results help to effectively implement health-promoting measures on campus among university students through increasing physical activity and reducing sedentary time.


10.2196/17581 ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. e17581
Author(s):  
Matthew T Stewart ◽  
Taylor Nezich ◽  
Joyce M Lee ◽  
Rebecca E Hasson ◽  
Natalie Colabianchi

Background The relationship between intention and behavior has been well researched, but most studies fail to capture dynamic, time-varying contextual factors. Ecological momentary assessment through mobile phone technology is an innovative method for collecting data in real time, including time-use data. However, only a limited number of studies have examined day-level plans to be physically active and subsequent physical activity behavior using real-time time-use data to better understand this relationship. Objective This study aims to examine whether plans to be physically active (recorded in advance on an electronic calendar) were associated with objectively assessed physical activity (accelerometry), to identify activities that replaced planned periods of physical activity by using the mobile app Life in a Day (LIAD), and to test the feasibility and acceptability of LIAD for collecting real-time time-use data. Methods The study included 48 university students who were randomly assigned to 1 of 3 protocols, which were defined by 1, 3, or 5 days of data collection. Participants were asked to record their planned activities on a Google Calendar and were provided with mobile phones with LIAD to complete time-use entries in real time for a set of categories (eg, exercise or sports, eating or cooking, school, or personal care). Participants were instructed to wear an accelerometer on their nondominant wrist during the protocol period. A total of 144 days of protocol data were collected from the 48 participants. Results Protocol data for 123 days were eligible for analysis. A Fisher exact test showed a statistically significant association between plans and physical activity behavior (P=.02). The congruence between plans and behavior was fair (Cohen κ=0.220; 95% CI 0.028-0.411). Most participants did not plan to be active, which occurred on 75.6% (93/123) of days. Of these 93 days, no physical activity occurred on 76 (81.7%) days, whereas some physical activity occurred on 17 (18.3%) days. On the remaining 24.4% (30/123) of days, some physical activity was planned. Of these 30 days, no physical activity occurred on 18 (60%) days, whereas some physical activity occurred on 12 (40%) days. LIAD data indicated that activities related to screen time most often replaced planned physical activity, whereas unplanned physical activity was often related to active transport. Feasibility analyses indicated little difficulty in using LIAD, and there were no significant differences in feasibility by protocol length. Conclusions Consistent with previous literature, physical activity plans and physical activity behaviors were linked, but not strongly linked. LIAD offers insight into the relationship between plans and behavior, highlighting the importance of active transport for physical activity and the influence of screen-related behaviors on insufficient physical activity. LIAD is a feasible and practical method for collecting time-use data in real time.


2018 ◽  
Vol 2 (S1) ◽  
pp. 8-8
Author(s):  
Scott Graupensperger ◽  
Michael B. Evans

OBJECTIVES/SPECIFIC AIMS: The goal of the present study was to advance our understanding of how alcohol use may contribute to physical inactivity among university students by investigating this association at a day-to-day level. METHODS/STUDY POPULATION: In total, 57 university students (Mage=20.27; 54% male) completed daily diary questionnaires using a cellphone application, which prompted them each evening to report minutes of moderate/vigorous physical activity engaged in, and number of alcoholic drinks consumed, as well as intended minutes of physical activity for the following day. Longitudinal mixed-level modeling was used to disentangle within person and between-person effects of alcohol use on physical activity behavior and intentions. Separate models were run to investigate lagged effects of previous day alcohol use. We controlled for sex and age in all models. RESULTS/ANTICIPATED RESULTS: Results indicated that participants’ usual alcohol use (between-person) was not associated with physical activity behavior or intentions. At the within-person level, day-to-day variance in alcohol use was negatively associated with both physical activity behavior (γ=−0.34, p=0.003) and intentions to engage in physical activity the following day (γ=−0.70, p<0.001). The lagged model indicated that previous day alcohol use negatively predicted PA behavior (γ=−0.33, p=0.004). DISCUSSION/SIGNIFICANCE OF IMPACT: Previous studies have largely been constrained to cross-sectional designs, and have surmised that there exists a positive association between alcohol use and physical activity due to trait-level differences between university students. We advance this literature by using ecological momentary assessment to investigate the within-person effects of alcohol use on physical activity at a day-to-day level while controlling for between-person variance. Contrary to existing literature, we found that on days when students consumed relatively more alcohol than they typically report, they: (a) report fewer minutes of physical activity on the same day, (b) plan to engage in relatively less physical activity on the subsequent day, and (c) engage in less physical activity on the subsequent day. By advancing our understanding of how alcohol use may curtail other health behaviors such as physical activity, we inform interventions that aim to target these behaviors in conjunction, or as part of a multiple behavior change intervention.


Author(s):  
Juris Porozovs ◽  
Aija Dudkina ◽  
Alvis Valdemiers

Students is a group of population, who experience psychological overload and emotional strain. These factors could have a negative impact on student's health, but good health level and positive mood are important factors for high learning outcomes. The survey of Riga 2nd Gymnasium 9th grade basic school students and University of Latvia 1st course pedagogical speciality students was carried out. The self-estimation of health level, physical activities and feeling at school and at home of the both group students was compared. The results of the survey showed that the majority of students have good health level or they have minor health problems. Physical activity of basic school students is higher than the physical activity of university students. A part of students regularly experience strain. More basic school students in comparison with university students are regularly in the state of stress.  Overall university students feel better at university than basic school students at school. The majority of both group students feel good at home. Students consider that important factors for maintaining of the health are: correct sleep regimen, proper nutrition regime, enough physical activities, avoiding from stress and overload.


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