Evaluation of dry eye in computer users

Patil, Saiprasad; Trivedi, Harish R; Parekh, Nilesh V.; Jethva, Jignesh

doi:10.18203/2394-6040.ijcmph20164264

Cited by 11 publications

(13 citation statements)

References 7 publications

(7 reference statements)

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“…In other studies, the prevalence of dry eye was reported between 5% and 30% in different age groups across diverse countries (Phadatare, Momin, Nighojkar, Askarkar, & Singh, 2015). The prevalence of dry eye in high risk groups ranges from 20 % to 73% (Patil, Trivedi, Parekh, & Jethva, 2016). According to the current study, dry eye based on TBUT test has a high prevalence among university students.…”

Section: Discussionsupporting

confidence: 46%

Correlation Between Sleep Quality and Tear Film Tests

et al. 2019

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Background and Objectives: Several studies have investigated the correlation between sleep and tear film among adults, senior high school students, employees and animals. The aim of this study is to evaluate the correlation between sleep quality and tear film tests among university students. Materials and Methods: A total of 102 students (52 men and 50 women) were enrolled in this cross-sectional study. Their sleep quality was evaluated using the Pittsburgh standard questionnaire and their tear film by the Schirmer-1 test and the tear film break up time (TBUT). Results: Out of 102 participants in this study, 69(67.6%) students had poor sleep quality and 64 (62.7%) students based on TBUT and 17(16.7%) students based on Schirmer-1 test had dry eye. There was a significant relationship between the Pittsburgh Sleep Quality Index (PSQI) and the Schirmer-1 test (correlation coefficient:-0.409, P<0.001). There was also a significant relationship between PSQI and TBUT (correlation coefficient:-0.484, P<0.001). Conclusion: The results of this study showed that there is a significant correlation between PSQI and tear film tests.

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Section: Discussionsupporting

confidence: 46%

Correlation Between Sleep Quality and Tear Film Tests

et al. 2019

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“…Dryness and associated symptoms in otherwise healthy eyes are commonly encountered by visual display unit users and have been cited by many investigators. Questionnaire studies have reported that the severity of dry eye is affected by the duration of computer use . Additionally, use of air‐conditioning and forced‐air heating in office environments may contribute to dryness symptoms …”

Section: Symptoms and Risk Factorsmentioning

confidence: 99%

Management of digital eye strain

Coles-Brennan

Sulley

Young

2019

Clinical and Experimental Optometry

184

133

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Digital eye strain, an emerging public health issue, is a condition characterised by visual disturbance and/or ocular discomfort related to the use of digital devices and resulting from a range of stresses on the ocular environment. This review aims to provide an overview of the extensive literature on digital eye strain research with particular reference to the clinical management of symptoms. As many as 90 per cent of digital device users experience symptoms of digital eye strain. Many studies suggest that the following factors are associated with digital eye strain: uncorrected refractive error (including presbyopia), accommodative and vergence anomalies, altered blinking pattern (reduced rate and incomplete blinking), excessive exposure to intense light, closer working distance, and smaller font size. Since a symptom may be caused by one or more factors, a holistic approach should be adopted. The following management strategies have been suggested: (i) appropriate correction of refractive error, including astigmatism and presbyopia; (ii) management of vergence anomalies, with the aim of inducing or leaving a small amount of heterophoria (~1.5 Exo); (iii) blinking exercise/training to maintain normal blinking pattern; (iv) use of lubricating eye drops (artificial tears) to help alleviate dry eye-related symptoms; (v) contact lenses with enhanced comfort, particularly at end-of-day and in challenging environments; (vi) prescription of colour filters in all vision correction options, especially blue light-absorbing filters; and (vii) management of accommodative anomalies. Prevention is the main strategy for management of digital eye strain, which involves: (i) ensuring an ergonomic work environment and practice (through patient education and the implementation of ergonomic workplace policies); and (ii) visual examination and eye care to treat visual disorders. Special consideration is needed for people at a high risk of digital eye strain, such as computer workers and contact lens wearers.

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“…10 Dry eye has been seen more among computer and smart phones users now-a-days. A study by Sandip D. Patil et al 11 showed that dry eye is seen among 25% electronic device users. Also, majority of students in our study, had complain of watering (60%) followed by ocular fatigue (54.3%), burning sensation (44%) and pain (32.6%).…”

Section: Association Between Osdi and Depressionmentioning

confidence: 99%

Magnitude of Dry Eye Among Medical Students and Its Impact on Their Mental Health: A Questionnaire Based Survey

Laad¹,

Singh²,

Singh³

et al. 2019

jebmh

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BACKGROUND Dry eye is a common disease affecting worldwide. Dry eye is defined as a multifactorial disease of tears and ocular surface that results in discomfort, visual disturbance and tear film instability with potential damage to the ocular surface and is due to increased osmolarity of tear film and inflammation of ocular surface according to International Dry Eye Workshop (2007). Medical students are often affected with dry eyes due to use of projectors, computers for study and also due to use of mobiles. METHODS A cross sectional, questionnaire based survey was conducted among 350 medical students of our college. Proforma included demographic details, contact lens use, hours of electronic devices usage, extraocular and ocular symptoms. Dry eye was subjectively analysed by a validated questionnaire of ocular surface disease index (OSDI) and hospital anxiety and depression scale was analysed. RESULTS The mean age of student was 22.71±2.31 years. Sixty percent had symptoms of watering. Headache being the most common extraocular symptom. Out of 350, 147 had normal OSDI, 98 had mild, 50 had moderate and 55 had severe. Hours of electronic device usage were directly proportional to OSDI. Results were statistically significant. CONCLUSIONS Our study highlighted the problem faced by young population these days and making them aware of computer vision syndrome and also its impact on their mental health.

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Evaluation of dry eye in computer users

Cited by 11 publications

References 7 publications

Correlation Between Sleep Quality and Tear Film Tests

Correlation Between Sleep Quality and Tear Film Tests

Management of digital eye strain

Magnitude of Dry Eye Among Medical Students and Its Impact on Their Mental Health: A Questionnaire Based Survey

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