The Effects of Daily Digital Device Use on the Ocular Surface in Healthy Children

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Burcu Kazancı ◽  
Fatma Corak Eroglu
2022 ◽  
Vol 30 (5) ◽  
pp. 0-0

The focus of most of the existing studies on technostress is with regard to working professionals. In spite of the explosion of digital device use in education, not many studies have identified its effects on students. This study examines the presence of technostress among management students aged 22-29 years. Using a sample of 300+ students of a management college of India, this study validates the technostress instrument. With the pandemic, education has seen a paradigm shift. Sessions including classes, interactions, discussions, team projects, assignments, examinations, have gone online and this has ushered the compulsion of spending more time with technology and digital devices (laptops, mobile phones, desktop etc). It examines the effect of technostress on academic productivity of students. The study further explores the students’ expectations from the college to control their technostress, thereby indicating the need of enhancing e-engagement through persuasive communication.


2018 ◽  
Vol 168 (1) ◽  
pp. 108-121 ◽  
Author(s):  
Jenny Kennedy

Sharing is a distinct form of interaction championed in digital contexts. Yet the term ‘sharing’ is a site of contestation. There are multiple overlapping imaginaries of sharing, such as sharing as an inherent social norm; sharing as a frictionless form of communication through social technologies; sharing as a fraught practice that, when over-performed, undermines and breaks down relationships and reputations; and sharing as an economic model. Furthermore, the term ‘sharing’ has been appropriated by specific cultural intermediaries at the cost of understanding the material and affective significance of sharing in everyday life. Yet still, there is no sufficient theory or formalisation of sharing, only reappropriations of existing theories – such as gift, reciprocity, knowledge and commodity exchange, and boundary work – that partially explain certain practices of sharing to the exclusion of others. Based on this observation, I argue that we are in need of a framework for theorising sharing as it is experienced in the contexts of digital device use. In response to this need, I set out a theory of sharing as a coherent and consistent set of elements, comprising competencies, materiality and symbolic values.


2020 ◽  
Author(s):  
Andrew Schenck

This study was designed to investigate the relationship between culture, technology, and reading. Reading scores from the Programme of International Student Assessment (PISA) were obtained from 41 countries and compared to: digital device use in the classroom, method of digital device use in the classroom, and digital device use outside the classroom. Results suggest that either no use or extensive use of technology improves overall reading scores. Cultural characteristics such as assertiveness or low institutional collectivism in some countries appear to mitigate this effect, decreasing the impact of technology on reading. Teacher control of technology had the highest impact on reading performance. Finally, as the use of technology outside the classroom increased, reading proficiency tended to decrease, with the exception of the Anglo cultural group.


Author(s):  
Catherine Simon ◽  
Shalet Paul

Background: Digital eye strain (DES) is an emerging public health problem due to continuous exposure to electronic gadgets and digital devices for educational, occupational or entertainment purposes, especially during this COVID-19 pandemic. Children are more vulnerable to DES, as they continue to attend online classes but are unaware of early symptoms of DES and do not complain till their vision deteriorates. The objective of this study was to assess the prevalence and risk factors of DES among school children during this pandemic.Methods: A questionnaire-based cross-sectional study was conducted among 176 school children aged 12-16 years, studying in 8th, 9th and 10th standards of a randomly selected school in Kollam district of Kerala, using the validated computer vision syndrome questionnaire (CVSQ), sent online via Google form to parents/guardians for recording their children’s pattern of digital device usage and DES symptoms.Results: The prevalence of DES among school children was 29.5%. Their commonest symptom was headache (n=125, 69.9%). The smartphone was the most commonly used digital device (n=159, 93.5%). The independent risk factors of DES were the preferred use of smart phone (adjusted odds ratio (AOR)=2.846; 95% CI=1.371-5.906; p=0.005) and viewing distance of digital device <18 inches (AOR=2.762; 95% CI=1.331-5.731; p=0.006).Conclusions: This study has highlighted some of the risk factors associated with DES. A concerted effort is needed to raise awareness about DES by experts in the health and education sectors, along with parents and teachers, so that digital device use among children can be optimised.


2019 ◽  
Vol 5 ◽  
pp. 233372141984488 ◽  
Author(s):  
Ya-Huei Wu ◽  
Manon Lewis ◽  
Anne-Sophie Rigaud

This study investigated cognitive function in relation to the use of a computer and a touchscreen device among older adults attending a memory clinic. The entire sample ( n = 323) was categorized into four profiles, according to the frequency of digital device use (either daily or non-daily usage). Results showed that on a daily basis, 26% of the sample used both a computer and a touchscreen device, 26.9% used only a computer, 7.1% used only a touchscreen device, and 39.9% used neither type of digital device. There were significant group differences on age, education, and clinical diagnosis ( p < .001). Non-daily users of digital devices had significantly lower performance, compared with daily users of both types of digital device, on measures of global cognitive function, processing speed, short-term memory, and several components of executive function ( p < .001). Falling behind with regard to the use of digital devices might reflect underlying poor cognitive capacities.


2018 ◽  
Vol 97 (3) ◽  
pp. e442-e447 ◽  
Author(s):  
Yupeng Xu ◽  
Guoying Deng ◽  
Weiheng Wang ◽  
Shuyu Xiong ◽  
Xun Xu

2016 ◽  
Vol 12 (3) ◽  
pp. 252-262 ◽  
Author(s):  
Ruopeng An ◽  
Yan Yang

Diabetes threatens a patient’s health and quality of life, whereas disease diagnosis itself could potentially serve as a teachable moment for initiating behavior change. This study assessed diabetes diagnosis as a possible teachable moment for screen-based sedentary behavior among US adults. The nationally representative sample (n = 3690) came from the 2005-2006 and 2011-2012 National Health and Nutrition Examination Survey. Self-reported hours spent on screen-based sedentary behavior (television/video watching, computer/digital device use) were measured by the Global Physical Activity Questionnaire. Diabetes/prediabetes was identified by fasting plasma glucose and the glycated hemoglobin test. Logistic regressions were conducted to examine the relationship between diabetes diagnosis and screen-based sedentary behavior, adjusting for individual characteristics and sampling design. Compared with those with undiagnosed diabetes, the adjusted values for prevalence of daily television/video watching ≥2 hours (77.45% vs 65.14%), computer/digital device use ≥1 hour (43.20% vs 36.52%), and total screen time (ie, television/video watching plus computer/digital device use) ≥3 hours (66.75% vs 45.78%) were all noticeably higher among adults with diagnosed diabetes, although only the difference in the prevalence of daily total screen time was significant at P < .05. No evidence was found regarding diabetes diagnosis as a teachable moment in reducing screen-based sedentary behavior in US adults.


Author(s):  
Ishan Sanodiya ◽  
Anubhuti Kujur ◽  
Suraj Sirohi ◽  
A. K. Khatri

Background: The physical discomfort and collection of symptoms after digital screen use for longer than two hours at a time is referred by the Vision Council as digital eye strain (DES). Common symptoms of DES are eyestrain, headache, blurred vision, dry eyes and pain in neck and shoulders. This study aims to know about the prevalence; factors associated with and awareness about preventive measures for DES among college students.Methods: A cross-sectional study was conducted for 2 months in 2017 among randomly selected 200 college students of 20 to 30 years of age in Indore city of Madhya Pradesh using a pre-designed semi-structured questionnaire.Results: Mean age of participants was 22.5 years; of which 58% were females. Of the respondents, 89.5% (179 students) reported experiencing DES. Average distance from digital screen, brightness level of digital device, use of digital device before going to sleep and awareness about appropriate distance of digital screen from eyes had statistically significant association with having digital eye strain. 98% of respondents were unaware of the term DES while >60% did not have knowledge about the harmful blue light emitted by digital devices, protective use of digital screen filters, appropriate distance of viewing digital screen and the 20-20-20 rule of taking breaks in between screen time.Conclusions: Since digital device use is a necessary evil; better ergonomic practices to avoid DES should be adopted. Opportunistic health promotion and patient education undertaken by ophthalmologists on an OPD basis is one solution.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Prince Kwaku Akowuah ◽  
Augustine N. Nti ◽  
Stephen Ankamah-Lomotey ◽  
Asafo Agyei Frimpong ◽  
Jeremiah Fummey ◽  
...  

Background. The purpose of the study was to determine the prevalence of computer vision syndrome (CVS) and poor sleep quality among university students and assess the relationship between digital device usage, CVS, and sleep quality. Methods. A cross-sectional study including undergraduate students was conducted in Ghana between January–March 2020. Information on digital device use and CVS symptoms was collected using a structured questionnaire. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Logistic regression was used to determine the relationship between CVS and digital device use behavior, and linear regression analysis was used to explore the association between sleep quality and digital device use behavior. Statistical significance was set at p  < 0.05. Results. Mean (SD) age of participants was 20.95 (1.68) years and most (54.97%) of them were females. The prevalence of CVS was 64.36%. Factors associated with CVS included hours of digital device use per day (OR = 4.1, p  < 0.001), years of digital device use (OR = 3.0, p  < 0.001), adjustment of digital device screen contrast to the surrounding brightness (OR = 1.95, p  = 0.014), and presence of glare (OR = 1.79, p  = 0.048). Prevalence of poor sleep quality was 62.43%. There was a significant association between poor sleep quality and number of years participants had used a digital device ( p  = 0.015) and the number of hours they used a digital device per day ( p  = 0.005). Conclusion. There is a high prevalence of both CVS and poor sleep quality among undergraduate students in Ghana. This represents a significant public health issue that needs attention.


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