Visual Display Terminal Syndrome, Sleep Quality and Physical Activity according to Smartphone Addiction in Nursing Students

2017 ◽  
Vol 20 (2) ◽  
pp. 100-110
Author(s):  
Hee-Jung Kim
Keyword(s):  
Physical Activity ◽  
Nursing Students ◽  
Sleep Quality ◽  
Visual Display ◽  
Smartphone Addiction ◽  
Visual Display Terminal

scholarly journals Effect of Communication Technology Usage on Sleep and Physical Activity Level in Nursing Students

2020 ◽  
Author(s):  
Yeliz Çulha ◽  
Nuray Turan ◽  
Gülsün Özdemir Aydın ◽  
Hatice Kaya ◽  
Türkinaz Atabek Aştı
Keyword(s):  
Physical Activity ◽  
Nursing Students ◽  
Sleep Quality ◽  
Communication Technology ◽  
Physical Activity Level ◽  
Sleep Disturbances ◽  
Short Form ◽  
Activity Level ◽  
Poor Sleep ◽  
Technology Usage

Objective: The present study was conducted in order to examine effect of communication technology usage on sleep and physical activity level in nursing students. Method: This descriptive and cross-sectional study was carried out with 215 nursing students in the Nursing Department of a Faculty of Health Sciences in Istanbul in the 2016-2017 academic year. 188 nursing students who agreed to participate in the study constituted the sample group. Prior to the start of the study, the ethics committee was granted permission and informed from the students. The data were collected by using Structured Question Form, Pitsburgh Sleep Quality Index (PSQI) and International Physical Activity Inventory (IPAQ short form). Data were analyzed in the program of SPSS 21.00. Results: It was determined that 86.17% of the students were female, their average age was 20.68±1.83 years, 93.6% of the students used internet, 79.3% of them had smartphones in bedrooms. It was determined that the point average of PSQI was 7.74 ± 3.41, Subjective Sleep Quality subscale 0.13±0.42, Sleep Latency 1.81 ± 0.74, Sleep Duration 1.07 ± 1,00, Habitual Sleep Efficiency 0.61±0.94, Sleep Disturbances 0.85 ± 0.98 in the Use of Sleeping Medications and 2.18±1.49 in the Daytime Dysfunctioan. According to IPAQ, the calculated weekly energy consumption point average was determined 1388.04±1644.24. Conclusion: It was seen that the amount of weekly energy in which students had poor sleep quality was low. In this case, it may be advisable not to use the technological tools too much before sleeping.

scholarly journals A study on smartphone addiction and its effects on sleep quality among nursing students in a municipality town of West Bengal

2021 ◽  
Vol 10 (1) ◽  
pp. 378
Author(s):  
ChanchalKumar Dalai ◽  
Trishan Ghosh ◽  
Deblina Sarkar ◽  
Kingsuk Sarkar ◽  
Arnab Ghosal
Keyword(s):  
Nursing Students ◽  
Sleep Quality ◽  
West Bengal ◽  
Smartphone Addiction

THE RELATIONSHIP BETWEEN SMART PHONE USAGE AND SLEEP DISTURBANCES AND PSYCHOLOGICAL DISSTRESS AMONG STUDENTS

2017 ◽  
pp. 125-130
Author(s):  
Minh Tam Nguyen ◽  
Phuc Thanh Nhan Nguyen ◽  
Thi Thuy Hang Nguyen
Keyword(s):  
High School ◽  
High School Students ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Public Health Problem ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
School Students ◽  
The Relationship

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.

Comparisons of physical activity and sedentary behavior between owners and non-owners of commercial wearable devices

2021 ◽  
Vol 141 (2) ◽  
pp. 89-96
Author(s):  
Hsin-Yen Yen ◽  
Hao-Yun Huang
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Short Form ◽  
Wearable Devices ◽  
Wearable Device ◽  
World Health ◽  
World Health Organization Quality ◽  
Quality Of Life Scale

Aims: Wearable devices are a new strategy for promoting physical activity in a free-living condition that utilizes self-monitoring, self-awareness, and self-determination. The main purpose of this study was to explore health benefits of commercial wearable devices by comparing physical activity, sedentary time, sleep quality, and other health outcomes between individuals who used and those that did not use commercial wearable devices. Methods: The research design was a cross-sectional study using an Internet survey in Taiwan. Self-administered questionnaires included the International Physical Activity Questionnaire–Short Form, Pittsburgh Sleep Quality Index, Health-Promoting Lifestyle Profile, and World Health Organization Quality-of-Life Scale. Results: In total, 781 participants were recruited, including 50% who were users of wearable devices and 50% non-users in the most recent 3 months. Primary outcomes revealed that wearable device users had significantly higher self-reported walking, moderate physical activity, and total physical activity, and significantly lower sedentary time than non-users. Wearable device users had significantly better sleep quality than non-users. Conclusion: Wearable devices inspire users’ motivation, engagement, and interest in physical activity through habit formation. Wearable devices are recommended to increase physical activity and decrease sedentary behavior for promoting good health.

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