scholarly journals Changes in the sleep quality and physical activity habits of vocational school students during the COVID-19

2021 ◽  
Vol 5 (2) (5 (2)) ◽  
pp. 39-47
Author(s):  
Orkide PALABIYIK ◽  
Nurcan ERDOĞAN KURTARAN ◽  
Selçuk KORKMAZ
2020 ◽  
Author(s):  
Paul H Lee ◽  
Andy C. Y. Tse ◽  
Cynthia S. T. Wu ◽  
Yim Wah Mak ◽  
Uichin Lee

Abstract Objectives: We studied the association between objectively-measured smartphone usage and objectively-measured sleep quality and physical activity for seven consecutive days among Hong Kong adolescents and young adults aged 11–25 (n = 357, 67% female).Methods: We installed an app that tracked the subjects’ smartphone usage and had them wear an ActiGraph GT3X accelerometer on their wrist to measure their sleep quality and physical activity level. Smartphone usage data were successfully obtained from 187 participants (52.4%).Results: The participants on average spent 2 hours 46 minutes per day on their smartphone. Multilevel regression showed that, among secondary school students, one minute of daytime smartphone usage was associated with 0.12 minute decrease in total sleeping time that night (p = 0.042, 95% CI: -0.23, -0.007). One minute of bedtime smartphone usage was associated with 0.32 minute increase in wake after sleep onset that night (p = 0.04, 95% CI: 0.02, 0.62). One minute of smartphone usage during sleep was associated with sleep efficiency (β = 0.013%, p = 0.01, 95% CI: 0.003%, 0.023%) and WASO (β=-0.05, p = 0.04, 95% CI: -0.10, -0.005). One minute of daytime smartphone usage was associated with 7.15 steps increase in the number of steps (p = 0.02, 95% CI: 1.02, 13.28) among secondary school students and 3.52 steps increase in the number of steps (p = 0.03, 95% CI: 0.37, 6.66) among university students on the next day.Conclusion: Time spent on smartphone was associated with total sleeping time, the number of steps, and MVPA among Hong Kong adolescents and young adults.


2017 ◽  
Vol 33 (7) ◽  
pp. 343
Author(s):  
Siti Nurfadilah H ◽  
Madarina Julia ◽  
Riris Andono Ahmad

PurposeThe purpose of this study was to explore the relationship between physical activity and screen based activity with sleep patterns in adolescents.MethodsA cross-sectional study was conducted among junior high school students in August 2016. Samples were 536 respondents selected using stratified random sampling. Data were collected through interviews with a structured questionnaire, and measurements of height and waist circumference. Data analyses used chi-square, mann-whitney and logistic regression tests to explore factors associated with sleep pattern.ResultsOut off 536 respondents, poor sleep quality (34.5%) and short sleep duration (45.3%) happened among female adolescents. There was a significant correlation between screen based activity with sleep quality in adolescents. Physical activity had a significant relationship with sleep duration.ConclusionPhysical activity and SBA was associated with adolescent sleep patterns. Appropriate educational promotions by the Kulon Progo education authorities should be conducted to provide information about the importance of adequate sleep.


2017 ◽  
pp. 125-130
Author(s):  
Minh Tam Nguyen ◽  
Phuc Thanh Nhan Nguyen ◽  
Thi Thuy Hang Nguyen

The increasing use of smartphone among young people is creating negative effects and is an important public health problem in many countries. Smartphone abuse and addiction may cause physical and psychological disorders among users. However, the awarenes on this issue has been inadequate due to lacking of evidence. Objectives: To describe the current situation of smartphone using among students at highschools and universities in Hue city and to examine the relationship between smartphone using and sleep disturbances and psychological disstress among participants. Methods: A cross-sectional study with a randomly selected sample of 1,150 students at highschools and universities in Hue city. SAS-SV scale was used to evaluate phone addiction status, K10 scale was used for psychological distress assessment and PSQI scale was used to examine the sleep quality. Results: The proportion of students at highschools and universities having smartphones was 78.0%. The rate of smartphone addiction among high school students was 49.1% and that among university students was 43.7%. There was 57.3% of high school students had poor sleep quality, and that of university students was 51.6%. There was a statistically significant association between smartphone addiction and sleep disturbances and psychological disstress among participants (p <0.05). Conclusion: The prevalence of smartphone addiction among students at highschools and universities is alarming and is related to sleep disturbances and psychological disstress among participants. There is a strong call to develop intervention to help students to aware and manage the use of smartphone effectively.


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