The CLOCK 3111T/C polymorphism is associated with hour-by-hour physical activity levels only on weekends among Japanese male and female university students

2022 ◽  
pp. 113705
Author(s):  
Ryo Miyazaki ◽  
Hitoshi Ando ◽  
Makoto Ayabe ◽  
Tomoko Hamasaki ◽  
Yukito Higuchi ◽  
...  
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Activity Levels ◽  
Male And Female ◽  
Japanese Male ◽  
Physical Activity Levels

Effects of Frequency and Duration of Exercise Sessions on Physical Activity Levels and Adherence

1991 ◽  
Vol 73 (1) ◽  
pp. 172-174 ◽  
Author(s):  
Sally A. White ◽  
Ronald V. Croce ◽  
Elizabeth M. Loureiro ◽  
Neil Vroman
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Exercise Program ◽  
Leisure Activity ◽  
Activity Levels ◽  
Male And Female ◽  
Physical Activity Levels ◽  
Physical Activity Adherence

The purpose of this study was to assess the relations among physical activity, adherence, and frequency and duration of exercise sessions for 33 male and female sedentary university students. Analysis indicated that frequency and duration of the exercise program did not significantly affect adherence. However, frequency and duration of the exercise sessions did significantly affect leisure activity once the structured exercise program terminated.

scholarly journals Active Commuting to University and its Association with Sociodemographic Factors and Physical Activity Levels in Chilean Students

Medicina ◽  
2019 ◽  
Vol 55 (5) ◽  
pp. 152 ◽  
Author(s):  
Yaira Barranco-Ruiz ◽  
Carolina Cruz León ◽  
Emilio Villa-González ◽  
Ximena Palma Leal ◽  
Palma Chillón ◽  
...  
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Economic Status ◽  
Personal Data ◽  
Sociodemographic Factors ◽  
Activity Levels ◽  
Active Commuting ◽  
Main Mode ◽  
Physical Activity Levels ◽  
The University

Background and Objectives: Active commuting to and from university (ACU) could be a strategy to increase physical activity levels (PA) and promote health in young university students. We aimed to a) examine the patterns of commuting to university in Chilean students; b) the association between the mode of commuting to and from university and socio-demographic factors and PA-levels. Materials and Methods: A total of 496 university students (21.6 ± 2.4 years old) from two universities from Valparaíso (central coast of Chile) participated in this study. Personal data, home address, socio-economic status, PA, and the usual mode of commuting to and from the university were self-reported by a questionnaire. The commute distances were objectively measured using Google-Maps-software. Associations were examined using binary logistic regressions. Results: The main mode of commuting was by bus (to university: 55.2% vs. from university: 59.3%; p < 0.001). The least used mode was cycling (1.4% to and from university). Students living >5-km from university were less active commuters than those living in closer distances: (2–5 km, odds ratio (OR): 4.424, 95% and 95% confidence intervals (CI): 2.443–8.011, p < 0.001; 2 km, OR: 143.052, 95% CI: 55.154–371.030, p < 0.001). Students with low PA-levels were less active commuters than those with medium (OR: 1.446; 95% CI: 0.864–2.421; p = 0.160) or higher levels (OR: 1.880; 95% CI: 1.880–1.094; p = 0.022). Students who lived between 2 and 5 km, presented a significant association to be active commuters when they showed medium PA-levels (OR: 5.244, 95% CI: 1.358–20.246; p = 0.016). Conclusions: Chilean university students from Valparaíso are mainly passive commuters using public transport as the main mode of commuting to and from university; longer distances from home to the university are associated with low PA levels. ACU in distances between 2–5 km (mainly walking) could contribute to having medium PA-levels in Chilean university students. Thus, promoting the ACU walking to and from the university in such distances could be an effective strategy to increase the overall PA levels in Chilean university students.

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