Self-Reported Physical Activity Patterns and Plans for Future Physical Activity in University Students

2006 ◽  
Vol 38 (Supplement) ◽  
pp. S538
Author(s):  
Robert Weathers ◽  
Evan Bylsma ◽  
Lustyk Kathy
SpringerPlus ◽  
2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Filipe Manuel Clemente ◽  
Pantelis Theodoros Nikolaidis ◽  
Fernando Manuel Lourenço Martins ◽  
Rui Sousa Mendes

PLoS ONE ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. e0152516 ◽  
Author(s):  
Filipe Manuel Clemente ◽  
Pantelis Theodoros Nikolaidis ◽  
Fernando Manuel Lourenço Martins ◽  
Rui Sousa Mendes

Author(s):  
Stephanie Rodriguez-Besteiro ◽  
José Francisco Tornero-Aguilera ◽  
Jesús Fernández-Lucas ◽  
Vicente Javier Clemente-Suárez

The actual COVID-19 pandemic scenario has generated a context of uncertainty, helplessness, and inequality. Yet, the perception of COVID-19 risk has influenced nutritional, psychological, and physical activity patterns depending on gender. We conducted the present research with the aim of studying gender differences of university students in the perceived risk of the COVID-19 pandemic, and in psychological, nutritional, oral health, and physical activity habits. To reach the study’s aim, 300 volunteer university students completed an online questionnaire which analyzed variables of perceived risk of the COVID-19 pandemic, psychological profiles, and nutritional, oral health, and physical activity habits. Results showed that females presented a higher perception of danger to the COVID-19 virus than males but showed no differences in how the pandemic has affected personal lives. Females showed higher values of anxiety, conscientiousness, neuroticism, and openness to experience, while males presented higher values of extraversion. Nutritionally, males presented greater consumption of soft drinks, meat, and pasta or rice, and lower buccal hygiene. Yet, no differences were found regarding physical activity patterns. Results from the present study could be used by various educational institutions to implement multidisciplinary interventions to reduce the stress and risk perception.


2019 ◽  
Vol 16 (5) ◽  
pp. 325-332 ◽  
Author(s):  
Joseph J. Murphy ◽  
Ciaran MacDonncha ◽  
Marie H. Murphy ◽  
Niamh Murphy ◽  
Alan M. Nevill ◽  
...  

2020 ◽  
Author(s):  
Shao-Wei Yeh ◽  
Chun-Yan Yuan ◽  
Yu-Feng Wu ◽  
Rui Shen

BACKGROUND Promoting physical activity for adolescence is a global challenge in public health. Physical inactivity and sedentary behaviors have been regarded to cause harmful chronic diseases to adolescent lifespan. However, high engagement in mobile technology for students may provide opportunities to help change adolescent unhealthy behaviors. Therefore, school sectors may play an important key role, such as implementing mobile health (mHealth) intervention to change students’ unhealthy behaviors and promote regular physical exercise behaviors, especially during the transition from adolescence to young adult. OBJECTIVE This study aimed to explore university students’ daily exercise patterns upon intervention of school-based mHealth project. METHODS Students’ physical exercise participation was recorded with students’ mobile application. With 4152 university freshmen (1476 males, 2676 females) and 335898 of their exercise records were analyzed (mean frequency of 38.2 ±16.10 in males, 45.1±10.81 in females) during the semester. RESULTS Under the school intervention project, students that exercised on Friday and Saturday was lower than that on other days, which indicated that the participation in exercise were more active on weekdays than on weekends. Among the participants who completed the requirement set by the school intervention project, both males and females used weekends to do exercise. On the other hand, overweight male university students participated in physical activity more than the requirement of the school intervention project and their exercise duration were found to be significantly higher than other participants. CONCLUSIONS Understanding a week of daily exercise patterns among youth upon the school mHealth Apps intervention can benefit in developing efficient and flexible projects to promote physical health and improve regular exercise participation in youth.


2005 ◽  
Vol 15 (2) ◽  
pp. 217-224 ◽  
Author(s):  
Karen M. Majchrzak ◽  
Lara B. Pupim ◽  
Kong Chen ◽  
Cathi J. Martin ◽  
Sheila Gaffney ◽  
...  

2002 ◽  
Vol 34 (8) ◽  
pp. 1255-1261 ◽  
Author(s):  
ANN P. RAFFERTY ◽  
MATHEW J. REEVES ◽  
HARRY B. MCGEE ◽  
JAMES M. PIVARNIK

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 528-529
Author(s):  
Eric Shiroma ◽  
J David Rhodes ◽  
Aleena Bennet ◽  
Monika M Safford ◽  
Leslie MacDonald ◽  
...  

Abstract Major life events, such as retirement, may lead to dramatic shifts in physical activity (PA) patterns. However, there are limited empirical data quantifying the magnitude of these changes. Our aims were to objectively measure PA before and after retirement and to describe changes in participation in various types of PA. Participants were employed black and white men and women enrolled in REGARDS (REasons for Geographic and Racial Differences in Stroke), a national prospective cohort study (n=581, mean age 64 years, 25% black, 51% women). Participants met inclusion criteria if they retired between their first and second accelerometer wearing (2009-2013 and 2017-2018, respectively) and had valid accelerometer data (>4 days with >10 hours/day pre- and post-retirement). Accelerometer-based PA was categorized into average minutes per day spent in sedentary, light-intensity, and moderate-to-vigorous PA. Participants reported changes (less, same, more) in 12 types of PA. After retirement, participants decreased both sedentary time (by 36.3 minutes/day) and moderate-to-vigorous PA (by 5.6 minutes/day). Conversely, there was an increase in light-intensity PA (+18.1 minutes/day) after retirement. Participants reported changes in their participation level in various PA activities. For example, 41% reported an increased amount of TV viewing, 42% reported less walking, and 31% reported increased participation in volunteer activities. Findings indicate that retirement coincides with a change in the time spent in each intensity category and the time spent across a range of activity types. Further research is warranted to examine how these changes in physical activity patterns influence post-retirement health status.


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