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HPE Virtual Student Conference 2020-21
  • Home
  • Welcome Message
  • Programme
    • Room A Day 1 1000 - PE#1
    • Room A Day 1 1330 - PE#
    • Room A Day 1 1530 - PE#3
    • Room B Day 1 1330 - SEN#1
    • Room C Day 1 1000 - ES#1
    • Room D Day 1 1330 - SS#1
    • Room D Day 1 1530 - SS#2
    • Room B Day 2 0930 - SEN#2
    • Room C Day 2 0930 - ES#2
    • Room C Day 2 1330 - ES#3
    • Room D Day 2 0930 - SS#3
  • Presenters
  • BEd(PE)
  • BScEd(SS)
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HPE Virtual Student Conference 2020-21
  • Home
  • Welcome Message
  • Programme
    • Room A Day 1 1000 - PE#1
    • Room A Day 1 1330 - PE#
    • Room A Day 1 1530 - PE#3
    • Room B Day 1 1330 - SEN#1
    • Room C Day 1 1000 - ES#1
    • Room D Day 1 1330 - SS#1
    • Room D Day 1 1530 - SS#2
    • Room B Day 2 0930 - SEN#2
    • Room C Day 2 0930 - ES#2
    • Room C Day 2 1330 - ES#3
    • Room D Day 2 0930 - SS#3
  • Presenters
  • BEd(PE)
  • BScEd(SS)
  • Links
  • More
    • Home
    • Welcome Message
    • Programme
      • Room A Day 1 1000 - PE#1
      • Room A Day 1 1330 - PE#
      • Room A Day 1 1530 - PE#3
      • Room B Day 1 1330 - SEN#1
      • Room C Day 1 1000 - ES#1
      • Room D Day 1 1330 - SS#1
      • Room D Day 1 1530 - SS#2
      • Room B Day 2 0930 - SEN#2
      • Room C Day 2 0930 - ES#2
      • Room C Day 2 1330 - ES#3
      • Room D Day 2 0930 - SS#3
    • Presenters
    • BEd(PE)
    • BScEd(SS)
    • Links

Room C Day 2 0930 - ES#2

(Zoom Meeting ID: 954 9031 6057)

Facilitator: Dr. Peggy Cheung

PE009 Lau Sze Ching

Room C Day 2 0930 - ES#2

Supervisor: Dr. CHEUNG Pui Yee, Peggy

Title: Association of Mobile App Use and Physical Activity of University Students

Abstract

Purposes: This study is (1) to examine the association of mobile app use and physical activity of university students and (2) to compare the habit of using mobile apps on PA levels among university students. Physical activity is a crucial indicator of the health outcomes. Under the era of technology, a lot of university students use mobile apps very often and are estimated to have insufficient amount of physical activity. Little literature showed the association of physical activity and their use of mobile apps. Methodology: Two hundred university students (mean age: 22.35) were invited to participate in the study to complete an online questionnaire. They were divided into app user group (mean ± SD: age 23.27 ± 1.86) and non-app user group (mean ± SD: age 20.64 ± 1.64). Their habit of using mobile apps and physical activity (Leisure-time Activity Score) were collected. Results: There was significant difference (p<0.05) in the Leisure-time Activity Score between the students with mobile apps downloaded and those without apps downloaded. Significant difference (p<0.05) in the score among the app user group and the non-app user group was also found. Conclusion: The physical activity was associated with the use of mobile apps. Mobile app is a potential tool contributing to the physical activity of the university students, but more research is still needed in the future.

Keywords: Physical Activity, Mobile Apps Use, University Students

PE010 Lin Ka Ho 11205825

Room C Day 2 0930 - ES#2

Supervisor: Prof. CHOW Hung Kay Daniel

Title: The effect of social media support on self-efficacy and fitness development of home-based online upper-limb Calisthenics circuit training for senior secondary school boys in Hong Kong.

Abstract:

Background: Under the continues threat of Covid-19 in Hong Kong, calisthenics home workouts under online instruction has been promoted as a substitution to daily physical activities. Research has found that people can gain support from the social media, which it can enhance self-efficacy. On the other hand, previous research has shown that self-efficacy is improving an individual adherence on achieving goals in physical training. However, the social media contribution to self-efficacy in exercise and performance has not been fully covered.

Proposes: To investigate the influence of social media support to self-efficacy and performance of male senior secondary school students participate in home-based online upper-limb calisthenics circuit training.

Methodology: The social media group (SG) (n=14) and non-social media group (NSG) (n=13), totally n=27 was randomly assigned to a class in Form 4 and 5, participating in a 4-weeks online programme via zoom and individual base. The SG participants had to share a video of self-practice once a week and responds to at least one classmate on social media. Two 25-minutes circuit training sessions including online and self-practice per week were conducted. The research conducted as a pre-test and post-test design, which students’ self-efficacy and performance of the upper-limb fitness was measured at baseline and after the 4-weeks training practice. A modified version of Perceived Physical Activity Self-Efficacy Scale (PPASES) has been adopted for measuring the self-efficacy of the participants.

Results: Both Groups were improved in terms of performance on push-ups. But there was no significate different between groups. Although the self-efficacy level of SG was increased 0.22, and the NSG remain unchanged, it was not able to find significant difference between groups. However, there was significant improvement of self-efficacy under certain conditions such as if they are afraid to fail and if they have limited space for exercise, they can still do their workout exercise of SG.

SS015 YU, CHUN HIM (Group)

YU, CHUN HIM, SO, WING SAM VITRO, LEE, CHEUK HIM, LAI, SHUK HA, TSE, HAU HANG ISAAC, KAM, ON KI, WU, YIN LAM WENDY, KWAI, TSZ CHING, SIN, CHUNG YEE

Room C Day 2 0930 - ES#2

Supervisor: Dr. CHEUNG Pui Yee, Peggy

Title: Sleep and Exercise Timing in University Students


Abstract:

Background: Both sleep and exercise play vital roles in our health. Good sleep quality is beneficial to physical and mental health, while proper exercise can boost sleeping quality. The relationship between sleep and exercise has been investigated by numerous studies. However, the association between the timing of exercise and sleeping quality is still unclear. Therefore, this study aims to determine the effects of exercise in different timings (morning-time and night-time) on sleeping quality in youth. Methods: Twenty healthy university students aged 18-24(10 male and 10 female) with no regular exercise habit were invited to join a 4-week study using a within-subject design, wearing an ActiGraph(wGT3X-BT) to collect data of sleep quality. There were 3 Exercise-controlled days at the start of each week of study, where Day 1 and Day 3 were the NO-Exercise days, Day 2 was the Exercise day. On the Exercise day, participants were required to perform 30±3mins of moderate-to-vigorous exercise. Results: The data were analyzed by using factorial ANOVA to examine if there are significant differences in participants’ sleeping quality between trials of different exercise timing (AM vs PM). In all 4 trials, there are significant differences found between Exercise day and NO-Exercise day within Sleep Onset Latency and Sleep Efficiency (p<0.05). Conclusion: In conclusion, both Morning-Exercise and Night-Exercise have significant effect on sleep quality, where Morning-Exercise was found to have a lower mean Sleep Efficiency than Night-Exercise (86.9747±5.21340 to 91.3267±4.00590, p=0.025).

Keywords: Exercise Timing; Sleep; Sleeping Quality; Morning Exercise; Night Exercise; Sport

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