Computer vision syndrome refers to a group of eye and vision-related issues that result from prolonged computer use. It is a common condition experienced by individuals who spend several hours each day in front of digital screens. The prevalence of CVS has risen significantly in recent years due to the widespread use of computers, smartphones, and other digital devices.

1. Naseema Institute of Optometry and
Research
PREVALENCE OF COMPUTER VISION SYNDROME IN WORKING PROFESSIONALS
Submitted by: Guided by:
Arun Kumar Sah Nitesh Sah (M. Optom)
Reg No.- 18o0153
Mithun Jana Co Guided By:
Reg No.- 18o0170 Utpal Bhusal (M. Optom)

2. INTRODUCTION
 Computer vision syndrome is the general term used to describe a variety of
vision related symptoms that may be aggravated by regular use of a computer
for two or more hours a day.
 Many individuals experience eye discomfort and vision problem when viewing
a computer screen for extended periods.
 Uncorrected vision problem can increase the severity of computer vision
syndrome symptoms.
 The level of contrast of the letters to the background is reduced and the
presence of glare and reflection on the screen may make viewing difficult.

3. LITRATURE REVIEW
AUTHOR AND YEAR
OF PUBLICATION
TITLE SAMPLE SIZE TYPE OF STUDY RESULT/ SUMMARY
Jamie Klamm and Karen
Gahan Tarnow
2015
With the increased use
of electronic devices with
visual displays,
251 Cross sectional These include eyestrain, tired eyes,
irritation, redness, blurred vision,
and double vision, collectively
referred to as computer vision
syndrome.
Rosenfield M.
2011
Computer vision
syndrome (CVS) is the
combination of eye and
vision problems
associated with the use
of computer
230 Cross sectional A total of 90% of computer users,
who spend more than 3 hours a
day in front of the computer screen,
suffer from CVS.
Ismail Abuallut 1, Reham
E Ajeebi
2014
COVID-19; CVS risk
factors; computer vision
syndrome (CVS); school-
age children.
407 Cross sectional Most of the participants were
adolescents between 16 and 18
and at a high-school education
level. According to the total
symptoms score, the CVS
prevalence was 35.4%. Prevalence
of CVS significantly affects age,
gender, and school level (p < 0.05
for all)
Caleb Teo 1, Phoebe
Giffard 2, Venerina
Johnston 3, Julia
Treleaven
2013
Computer vision
symptoms in people with
and without neck pain
350 Cross sectional The persistent NP group had
significantly higher CVS-Q, VSS,
and CISS scores (p <0.01)
compared to controls. No
relationships were found between
visual ergonomics, demographics,
and visual symptoms in both

4. NEED OF STUDY
 Nedd of the study is to access the knowledge and awareness about computer vision
syndrome in working professional.

5. AIM and OBJECTIVE
 AIM
 To access the knowledge and awareness about computer vision syndrome among
working professionals
And to compare associated symptoms in those who are using computers for 2
hours and more per day
OBJECTIVE

6. MATERIALS AND METHODOLOGY
 Study Site:
 Study Design: Prospective type
 Sample Size: 320 both Male and Female
 Study duration: 15th March to 15th November 2022
• Materials used:
• Assessment of Visual Acuity-Distance LogMAR chart and Snellen Near
vision chart
• Retinoscope
• Trial frame and Trial box
• Slit- lamp biomicroscopy
• EOM (ocular motility) test
• Cover test

7. INCLUSION AND EXCLUTION CRITERIA
•Inclusion Cri
Inclusion Criteria Exclusion Criteria
 Emmetropes
 Refractive errors
 Age group 18-39 years
 Contact lens wearer
 Ocular trauma

8. PROCEDURE
WRITTEN INFORMED CONSTANT
HISTORY TAKING
VISUAL ACUITY (DISTANCE & NEAR)
EOM (OCULAR MOTILITY) TEST
COVER TEST
SLIT – LAMP EXAMINATION

9. RESULT
 In this study 179 were male and 141 were female . They had given a questionnaire fill up . among
those we found that –

10. Table 1: Symptoms and Weighted Average
Symptoms Weighted Average
Headache during or after working at
Computer
1.57
Burning Eyes 1.65
Driving / night vision worsen after
computer use
1.36
Haloes appear around objects on the
computer screen
1.3
Hours per day working on computer at
home
1.28
Longest uninterrupted time spent
working on computer
1.21

11. DISCUSSION
• In our study we found that overall body fatigue (61%) and neck, shoulder or
back pain (66%) were the main two symptoms of CVS.
• There were 3% people with severe headache, overall body fatigue, burning
eye, distance vision blur halos.
• Researcher found that the major cause of Computer Vision Syndrome was
due to prolonged use of computer without Medical Association precaution.
• The symptoms of headache, eye strain, dryness, burning, grittiness,
heaviness or watering, stiff shoulders, low back pain and general fatigue
were reported higher with increasing duration of daily VDT use (Acosta et al,
1999; Nakazawa et al, 2006).
• The duration of computer work is directly related to eye symptoms; and
longer duration tends to result in long-lasting complaints even after the work
is finished.
• In our study, more than 2 hours continuous use of computer was significantly
associated with occurrence of Computer vision syndrome symptoms.
• Spending long time on the computer screen without pause also can lead to
problem of shifting focus on screen, documents and keyboard.

12. CONCLUSION
• From the present study, it is concluded that 58%,66% and 61%of the people
mainly experienced symptoms like Body fatigue, blurry distance vision, neck
and back pain.
• The symptoms were reported more often in people who used Computers for
more than 2 hours in a day. These people were not using any safety
measure.

13. FUTURE SCOPE & LIMITATION
 This study was conducted only among the working professional ,but now due to
more digitalization almost every age group are effected so study must be conducted
on the other age group.

14. REFRENCE
1. Rosenfield M. Clinical assessment of accommodation. In: Rosenfield M, Logan N,
editors. Optometry: Science, Technique and Clinical Management. 2nd ed.
Edinburgh: Butterworth- Heinemann; 2009. P.229-40.
2. Benjamin W, Borish I. Borish’s clinical refraction. 2nd ed. St. Louis MO. Butterworth
Heinemann/Elsevier; 2006
3. Chiranjib Majumder, Efftika Nadiea BT Roslan and Piyali Gosh: Article, Volume 6 issue
-3-February 2018 Comparison of amplitude of accommodation in different reading
posture
4. Conlon EG, Lovegrove WJ, Chekaluk E, Pattison PE (1999) Measuring Visual
discomfort. Visual Cognit 6:637-663.
5.Momeni-Moghaddam H, Kundart J, Askarizadeh F. Comparing measurement
techniques of accommodative amplitudes. Indian Journal of Ophthalmology. 2014;
62(6):683-687. Available from: http://WWW.ijo.in(dateof access, March 2019).
5.Momeni-Moghaddam H, Kundart J, Askarizadeh F. Comparing measurement
techniques of accommodative amplitudes. Indian Journal of Ophthalmology. 2014;
62(6):683-687. Available from: http://WWW.ijo.in(dateof access, March 2019).

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