Indian Journal of Clinical and Experimental Ophthalmology

Print ISSN: 2395-1443

Online ISSN: 2395-1451

CODEN : IJCEKF

Indian Journal of Clinical and Experimental Ophthalmology (IJCEO) is open access, a peer-reviewed medical journal, published quarterly, online, and in print, by the Innovative Education and Scientific Research Foundation (IESRF) since 2015. To fulfil our aim of rapid dissemination of knowledge, we publish articles ‘Ahead of Print’ on acceptance. In addition, the journal allows free access (Open Access) to its content, which is likely to attract more readers and citations of articles published in IJCEO. Manuscripts must be prepared in more...

  • Article highlights
  • Article tables
  • Article images

Article statistics

Viewed: 1840

PDF Downloaded: 962


Get Permission Joju, Anthrayose, Puthiyedath, Babu, and Rajan: Eyestrain and associated problems among undergraduate medical students undergoing e-learning/teaching methods during Covid-19 pandemic


Introduction

Digital eyestrain is a group of eye- and vision-related problems that result from prolonged computer, tablet, e-reader and cell phone use.1 Medical institutions in Kerala closed in March, 2020 after the Covid-19 pandemic hit the state. Online classes started soon afterwards and all students were required to attend classes through various e-platforms and submit their assignments digitally.2

In view of Covid 19 pandemic, the National Medical Commission approved the conduct of online classes for medical course.3 Mandatory e-learning may have given rise to an emerging public health threat of digital eye strain or computer vision syndrome among medical students.4 The pandemic forced students indoors and this has led to an increase in usage of various electronic devices.

This study aimed to assess the distribution of frequency and intensity of different symptoms of digital eyestrain among undergraduate medical students attending online classes during the Covid 19 pandemic and to estimate their screen time on different screen based media (e.g. television, mobile, computer, etc). The study also aimed to determine the association between digital eyestrain and screen time spent on different digital devices for e-learning and social media use.

Materials and Methods

A cross-sectional, questionnaire based online study on undergraduate medical students during the month of October, 2020.

Based on prevalence of Computer Vision Syndrome observed in an earlier publication,” by Logaraj et al.5 with 95% confidence level and 10% relative allowable error, minimum sample size was calculated as 108.

After obtaining approval from the Institutional Ethics Committee, a pre-designed semi structured questionnaire was distributed digitally as Google Forms. It was used to collect data on age, gender, eyecare history, screen time spent on different devices, time spent for e-learning and on social media, computer vision syndrome symptoms (based on CVS-Q questionnaire6 and Ocular Surface Disease Index (based on OSDI questionnaire7 CVS-Q questionnaire assesses the frequency and intensity of 16 symptoms of eyestrain, namely, burning, itching, feeling of a foreign body, tearing, excessive blinking, eye redness, eye pain, heavy eyelids, dryness, blurred vision, double vision, difficulty focusing for near vision, increased sensitivity to light, coloured halos around objects, feeling that eyesight is worsening and headache.6

The OSDI is a 12-item questionnaire designed to assess symptoms seen in Dry Eye Disease (DED). The OSDI questionnaire has 3 subdomains: ocular symptoms, vision-related function, and environmental triggers.7

Consent was taken and participants were asked to fill the questionnaire. A total of 127 responses were received out of which 113 responses were taken for the study. Non-consenting study participants were excluded.

The data was entered in Excel sheet and analysed using IBM SPSS v20. Descriptive analysis was carried out in the form of frequency, percentage, mean and standard deviations. Chi square test was used for doing comparisons and all analyses were done at 5% significance.

Results

The study included 113 undergraduate medical students (29(25.7%) males and 84(74.3%) females). Age ranged from 20 years to 27 years.38(33.6%) were 23 years old, 36(31.9%) were 22 years old, 29(25.7%) were 21 years old, 5(4.4%) were 24 years old, 3(2.7%) were 27 years old and 2(1.8%) were 20 years old. Mean age was 22.27 ± 1.2.

84(74%) of the students have had previous visual examination and 55(51%) used spectacles/contact lens. Significant association was observed between lens/spectacle use and feeling that eyesight is worsening (p-value=0.000). Lens/spectacle use was also significantly associated with difficulty focusing for near vision (p-value=0.004).

Table 1

Distribution of frequency of eyestrain symptoms among students

Eyestrain symptoms

Number & percentage of students

never

occasionally

often/always

Burning

78(69.0%)

31(27.4%)

4(3.5%)

Itching

58(51.3%)

49(43.4%)

6(5.3%)

Feeling of a foreign body

73(64.6%)

37(32.7%)

3(2.7%)

Tearing

57(56.4%)

50(44.2%)

6(5.3%)

Excessive blinking

86(76.1%)

26(23.0%)

1(0.9%)

Eye redness

78(69.0%)

32(28.3%)

3(2.7%)

Eye pain

66(58.4%)

40(35.4%)

7(6.2%)

Heavy eyelids

73(64.6%)

33(29.2%)

7(6.2%)

Dryness

73(64.6%)

34(30.1%)

6(5.3%)

Blurred vision

83(73.5%)

28(24.8%)

2(1.8%)

Double vision

109(96.5%)

2(1.8%)

2(1.8%)

Difficulty focusing for near vision

87(77.0%)

21(18.6%)

5(4.4%)

Increased sensitivity to light

70(61.9%)

35(31.0%)

8(7.1%)

Coloured halos around objects

102(90.3%)

10(8.8%)

1(0.9%)

Feeling that eyesight is worsening

72(63.7%)

33(29.2%)

8(7.1%)

Headache

27(23.9%)

65(57.5%)

21(18.6%)

Neck/Shoulder/Back pain

37(32.7%)

58(51.3%)

18(15.9%)

Table 1 shows the distribution of frequency of different eyestrain symptoms. Prevalence of eyestrain symptoms ranged from 76.6% for headache to 3.5% for double vision. Most common symptom seen among the students was headache. 86 (76.1%) of the students complained of headache. 65(57.5%) had occasional headache and 21(18.6%) experienced headache often or always. Next most common eyestrain symptom was neck/shoulder/back pain seen in 76(67.3%) students followed by tearing in 56(49.6%) students, itching in 55(48.7%) students, eye pain in 47(41.6%) students, increased sensitivity to light in 43(38.1%) of students and feeling that eyesight is worsening in 41(36.3%) of students. 40(35.4%) students complained of feeling of foreign body in eye, heavy eye and dryness and 35(31.0%) students complained of burning and red eye. Blurred vision was reported by 30(26.5%) students, 27(23.9%) had excessive blinking and 26 (23%) had difficulty focusing for near vision. Least common eyestrain symptoms were coloured halos around objects which was reported by 11(9.7%) students and double vision reported by 4(3.5%) students.

Table 2

Distribution of intensity of eyestrain symptoms among students

Eyestrain symptoms

Number and percentage of students

Mild

Moderate

Severe

Very severe

Burning

38(73.1%)

13(25.0%)

1(1.9%)

0

Itching

41(62.1%)

19(28.8%)

5(7.6%)

1(1.5%)

Feeling of a foreign body

33(67.3%)

15(30.6%)

1(2.0%)

0

Tearing

44(64.7%)

21(30.9%)

3(4.4%)

0

Excessive blinking

36(81.8%)

6(13.6%)

2(4.5%)

0

Eye redness

40(75.5%)

9(17.0%)

3(5.7%)

1(1.9%)

Eye pain

39(60.9%)

19(29.7%)

6(9.4%)

0

Heavy eyelids

36(66.7%)

15(27.8%)

2(3.7%)

1(1.9%)

Dryness

36(69.2%)

12(23.1%)

4(7.7%)

0

Blurred vision

32(68.1%)

13(27.7%)

1(2.1%)

1(2.1%)

Double vision

28(90.3%)

0

2(6.5%)

1(3.25)

Difficulty focusing for near vision

31(67.45)

12(26.1%)

2(4.3%)

1(2.2%)

Increased sensitivity to light

35(60.3%)

16(27.6%)

6(10.3%)

1(1.7%)

Coloured halos around objects

32(86.5%)

4(10.8%)

1(2.7%)

0

Feeling that eyesight is worsening

37(62.7%)

14(23.7%)

7(11.9%)

1(1.7%)

Headache

38(40.9%)

29(31.2%)

22(23.7%)

4(4.3%)

Neck/Shoulder/Back pain

37(43.5%)

31(36.5%)

13(15.3%)

4(4.7%)

Table 2 shows distribution of intensity of eyestrain symptoms. Very severe headache and very severe neck/shoulder/back pain was experienced by 4 students each.22 students had severe headache and 13 students had severe neck/shoulder/back pain.7 students had a severe feeling that their eysight was worsening. Severe sensitivity to light and severe eye pain was experienced by 6 students each. 5 students experienced severe itching and 4 students experienced severe dryness of eyes. Severe redness and severe tearing was reported by 3 students respectively.

Table 3 shows distribution of computer vision syndrome. Computer vision syndrome(CVS) score was calculated using the formula; CVS Score= (frequency of symptom occurrence) x (intensity of symptom). If the total score is ≥6 points, student is considered to suffer from Computer Vision Syndrome.Table 3 shows distribution of students with CVS. 46(40.7%) of the students had CVS. Most common CVS symptom was headache which was seen in 13(11.5%) of students followed by increased sensitivity to light seen in 6(5.3%) of students, feeling that eyesight is worsening experienced by 5(4.4%) of students, itching felt by 4(3.5%) students and eye pain in 3(2.7%) students.CVS was not seen for symptoms like coloured halos around objects and feeling of foreign body in eye.

Table 3

Distribution of symptoms of CVS among students

CVS Computer Vision Syndrome(CVS) symptoms

Number and percentage of students with CVS

Burning

1(0.9%)

Itching

4(3.5%)

Feeling of a foreign body

0

Tearing

2(1.8%)

Excessive blinking

1(0.9%)

Eye redness

2(1.8%)

Eye pain

3(2.7%)

Heavy eyelids

2(1.8%)

Dryness

2(1.8%)

Blurred vision

1(0.9%)

Double vision

2(1.8%)

Difficulty focusing for near vision

2(1.8%)

Increased sensitivity to light

6(5.3%)

Coloured halos around objects

0

Feeling that eyesight is worsening

5(4.4%)

Headache

13(11.5%)

Table 4

Distribution of students according to screentime spent on different devices

Screen time spent on different devices

Number & Percentage of students

Television

<=1 hr

72(63.7%)

>1 hr& <=2 hr

20(17.7%)

>2& <=4 hr

15(13.3%)

>4 & <=6 hr

2(1.8%)

>6 & <=8 hr

2(1.8%)

>8 & <=10 hr

1(0.9%)

>10 & <=12 hr

1(0.9%)

Desktop/Laptop

<=1 hr

85(75.2%)

>1 & <=2 hr

9(8.0%)

>2 & <=4 hr

11(9.7%)

>4 & <=6 hr

2(1.8%)

>6 & <=8 hr

3(2.7%)

>8 & <=10 hr

3(2.7%)

Mobile/tablet

<=1 hr

4(3.5%)

>1 & <=2 hr

3(2.7%)

>2& <=4 hr

25(22.1%)

>4 & <=6 hr

29(25.7%)

>6 & <=8 hr

22(19.5%)

>8 & <=10 hr

19(16.8%)

>10 hr & <=12 hr

7(6.2%)

>12 & <=14 hr

1(0.9%)

>14 & <=16 hr

3(2.7%)

Table 4 shows distribution of students according to screen time spent on different devices. 72(63.7%) of students watched TV for <=1 hour, 20(17.7%) watched TV for >1 hour and <=2 hrs and 15(13.3%) students watched TV for >2 hours and <=4 hours. 5(75.2%) of students used desktop/laptop for <=1 hour and 9(8%) used desktop/laptop for >1 hour and <=2 hr.29(25.7%) of students spent time on mobile/tablet for >4 hours and <=6 hours, 25(22.1%) used mobile/tablet for >4 hour and <=6 hrs and 22(19.5%) students watched TV for >6 hours and <=8 hours. Screen time of more than 6 hours spent on mobile/tablet was found be significantly associated with eyestrain symptoms like feeling of foreign body(p-value=0.008), excessive blinking(p-value=0.036) and itching(p-value=0.025).

Table 5

Distribution of students according to screen time spent for e-learning and on social media

Screen time spent for e-learning & on social media

Number & Percentage of students

E-learning

<=1 hr

29(25.7%)

>1 & <=2 hr

20(17.7%)

>2& <=4 hr

37(32.7%)

>4 & <=6 hr

19(16.8%)

>6 & <=8 hr

2(1.8%)

>8 & <=10 hr

4(3.5%)

>10 & <=12 hr

2(1.8%)

Social media

<=1 hr

25(22.1%)

>1 & <=2 hr

31(27.4%)

>2& <=4 hr

38(33.6%)

>4 & <=6 hr

12(10.6%)

>6 & <=8 hr

3(2.7%)

>8 & <=10 hr

2(1.8%)

>10 & <=12 hr

2(1.8%)

Table 5 shows distribution of students according to screen time spent for e-learning and on social media. 37(32.7%) of students had undergone e-learning for >2 hours and <=4 hours, 29(25.7%) of students used e-learning methods for <=1 hours, 20 (17.7%) of students used e-learning for >1 hours and <=2 hours and 19(16.8%) of students spent >4 hours and <=6 hours for e-learning. There was no significant association observed between time spent for e-learning methods and symptoms of eyestrain. Table 1.8 and Fig 1.8 shows distribution of students according to screen time spent on social media platforms.38(33.6%) of students used social media for>2 hours and <=4 hours, 31(27.4%) students spent >1 hour and <=2 hours on social media and 25(22.1%) students used different social media platforms for <=1 hour.

44(38.9%) of students spent <=1 hour for reading/writing (not on screen based media), 32(28.3%) spent >1 hour and <=2 hours and 21(18.6%) spent >2 hours and <=4 hours for reading/writing. 82(72.6%) of students reported sleep duration of >6 hours and <=8 hours,18(15.9%) of students reported sleep duration of >4 hours and <=6 hours and 13(11.5%) students had sleep duration of >8 hours and <=10 hours. Among 113 students, 17(15%) of them felt tired often or always, 87(77%) of them felt tired occasionally and 9(8%) never felt tired.

Figure 1

Distribution of ocular symptoms among students according to OSDI questionnaire

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/fa563e00-c766-4922-9f42-f2e7fc228b86/image/03e1e9a2-67d6-4f8e-9468-e0053e79100c-uimage.png

Figure 2

Distribution of vision related triggers among students according to OSDI questionnaire

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/fa563e00-c766-4922-9f42-f2e7fc228b86/image/ff98e6c5-38ae-407f-b6bd-823ffbc1cb11-uimage.png

Figure 3

Distribution of environment related triggers among students according to OSDI questionnaire

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/fa563e00-c766-4922-9f42-f2e7fc228b86/image/c7eca4e6-f3e5-440d-a168-9dceabb5cc7b-uimage.png

Table 6

Distribution of DED (based on OSDI score) among students

Severity of dry eye disease

Number & percentage of students

normal

34(32.4%)

mild

25(23.8%)

moderate

24(22.9%)

severe

22(21.0%)

Figure 1 shows distribution of ocular symptoms, Figure 2 shows distribution of vision related triggers and Figure 3 shows distribution of environment related triggers in the study population according to OSDI questionnaire. Participants had to rate their responses on a 0 to 4 scale, where 0 indicates “none of the time” and 4, “all of the time”. The total OSDI score was calculated based on the formula: ([sum of scores for all answered questions] × 25)/ ([total number of answered questions]). Participants were then classified into four categories based on their total score: normal (scores: 0–12), mild (13–22), moderate (23–32), and severe dry eye (33–100). Table 6 shows distribution of students according to severity of dry eye disease (DED) based on OSDI score. 25(23.8%) students had mild DED, 24(22.9%) of students had moderate DED and 22(21.0%) of students had severe DED.

Discussion

Headache was the most common symptom associated with digital eyestrain according to American Optometric Association.1 The present study shows 76.1% prevalence of headache and was the most common symptom in the student population under study. This was comparable with a study done by Kan AA et al in Karnataka8 on undergraduate medical students where headache was the most common symptom with a prevalence of 73.3%. A study by Bahkir FA et al in Chengalpet9 done during the Covid 19 lockdown and a study on UG medical students by Logaraj et al5 showed a lower prevalence of 43.3%. Headache was reported as the most common eyestrain symptom by other studies also.10

Neck/shoulder/back pain was the second most common symptom of eyestrain with a prevalence of 67.3% in the student population in this study. Logaraj et al5 reported this as the most common symptom with a prevalence of 61%. In a study from Tamil Nadu done on medical students during the Covid 19 pandemic curfew,11 neck/shoulder/back pain was the most common extra ocular symptom with a prevalence of 35.2%.

31% of students reported dry eye and heavy eyelids but OSDI score revealed that 67.7% of the students had dry eye disease (mild, moderate and severe combined). This was comparable with a study done in Karnataka8 where they reported a prevalence rate of 63.3%. Althahi et al.10 reported a lower prevalence of 48.3% and even lower prevalence of 21% was reported among a student population in Tamil Nadu by Niveditha KP, Dheepak Sundar M11 during the Covid 19 lockdown.

Blurred vision which is one of the most common symptoms of eyestrain as per the American Optometric Association1 had a prevalence of only 26.5% in this study population. Logaraj et al5 reported a lower prevalence of 16.4%.

Burning sensation was reported by 31% of students which was similar to a prevalence of 32.3% among medical students reported by Logaraj et al.5 Red eye was also seen in 31% students but it had a lower prevalence of 13.9% was reported as the least common eyestrain symptom among medical students by Logaraj et al.5 In this study the least common eyestrain symptoms were double vision(3.5%) and coloured halos around objects(9.7%).

Tearing was seen in 49.6% of students and itching in 48.7% of students. Altalhi et al.10 reported a higher prevalence of 58% and 63% respectively.

Eye pain was experienced by 41.6% of students. A lower prevalence of 29% was seen in a study done by Bahkir FA et al.9 Lower prevalence may be due to exclusion of contact lens wearers and people who had undergone LASIK.

Significant association between lens/spectacle use and eyestrain symptoms was seen in different studies.5, 8, 12, 13 In this study, we found significant association with lens/spectacle use and feeling of worsening eyesight and difficulty focusing for near vision. Duration of digital screen time was also significantly associated with eyestrain symptoms in several studies.5, 14, 15 Although significant association was seen between more than 6 hours of mobile/tablet use and certain symptoms of digital eyestrain like excessive blinking, feeling of foreign body in eye and itching, there was no significant association between increased screen time spent for e- learning and eyestrain.

81% of students reported feeling tired during the day and this may be a cause or consequence of the high prevalence of eyestrain seen in this population.11.5% of the students had a sleep duration of less than 6 hours which may have contributed to tiredness/fatigue.

Conclusion

This was a cross sectional study on 113 undergraduate medical students conducted in a single medical college. Another limitation of this study was that digital eyestrain was assessed based on self reported symptoms and not by ophthalmic examination. This study revealed that around three -fourth of the student population experienced at least one symptom of eyestrain. Computer vision syndrome was seen in 40.7% of students and headache was the most common symptom reported. Significant association was seen between more than 6 hours of screen time spent on mobile/tablet with eyestrain symptoms like feeling of foreign body sensation, excessive blinking and itching. Lens /spectacle use was significantly associated with a feeling that eyesight is worsening and difficulty focusing for near vision. No significant association was seen between screen time spent for e- learning and symptoms of eyestrain. Steps towards awareness and prevention of digital eyestrain should be taken to promote ocular health and to avoid this occupational hazard.

Source of Funding

None.

Conflict of Interest

None.

Acknowledgements

We would like to express our gratitude to the Department of Ophthalmology and the Research Department of Jubilee Mission Medical College & Research Institute for their guidance throughout this research. We would like to acknowledge Dr. Amitha Sunny and Dr. Sreelakshmi Arun who were co-investigators in this study., We would also like to acknowledge Mr. Unnikrishnan for helping us understand statistical analysis. Last, but not least, we would like to thank all the participants who took part in this study.

References

1 

American Optometric Association. Computer vision syndrome. American Academy of Ophthalmologyhttps://www.aoa.org/patients-and-public/caring-for-your-vision/protecting-your-vision/computer-vision-syndrome

2 

AM Rafi PR Varghese P Kuttichira The Pedagogical Shift During COVID 19 Pandemic: Online Medical Education, Barriers and Perceptions in Central KeralaJ Med Educ Curric Dev202010.1177/2382120520951795

4 

S Bhattacharya SM Saleem A Singh Digital eye strain in the era of COVID-19 pandemic: An emerging public health threatIndian J Ophthalmol2020688170910.4103/ijo.ijo_1782_20

5 

M Logaraj V Madhupriya SK Hegde Computer vision syndrome and associated factors among medical and engineering students in ChennaiAnn Med Health Sci Res2014421798510.4103/2141-9248.129028

6 

MM Seguí J Cabrero-García A Crespo J Verdú E Ronda A reliable and valid questionnaire was developed to measure computer vision syndrome at the workplaceJ Clin Epidemiol20156866627310.1016/j.jclinepi.2015.01.015

7 

RM Schiffman MD Christianson G Jacobsen JD Hirsch BL Reis Reliability and validity of the ocular surface disease indexArch Ophthalmol200011861521

8 

AA Khan R Jain V Hegde A Bappal S Rashmi Digital eye strain among undergraduate medical students in a tertiary eye care hospital of south India-A questionnaire based studyIndian J Clin Exp Ophthalmol20195220810

9 

FA Bahkir SS Grandee Impact of the COVID-19 lockdown on digital device-related ocular healthIndian J Ophthalmol20206811237810.4103/ijo.ijo_2306_20

10 

AA Altalhi W Khayyat O Khojah M Alsalmi H Almarzouki Computer Vision Syndrome Among Health Sciences Students in Saudi Arabia: Prevalence and Risk FactorsCureus202012210.7759/cureus.7060

11 

KP Niveditha D Sundar Digital vision syndrome (DVS) among medical students during COVID-19 pandemic curfewInt J Res Pharm Sci2020111112833

12 

ZA Rahman S Sanip Computer user: demographic and computer related factors that predispose user to get computer vision syndromeInt J Bus Humanit Technol2011128491

13 

A Tauste E Ronda MJ Molina M Seguí Effect of contact lens use on Computer Vision SyndromeOphthal Physiol Opt201636112910.1111/opo.12275

14 

Y Xu G Deng W Wang S Xiong X Xu Correlation between handheld digital device use and asthenopia in Chinese college students: a Shanghai studyActa Ophthalmol2019973e442710.1111/aos.13885

15 

RK Sitaula A Khatri Knowledge, attitudes and practice of computer vision syndrome among medical students and its impact on ocular morbidityJ Nepal Health Res Council20181632916



jats-html.xsl


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

Article type

Original Article


Article page

308-313


Authors Details

Aqueen Joju, C V Anthrayose*, Rakendu Puthiyedath, Niya Babu, Ann Reshma Rajan


Article History

Received : 29-11-2020

Accepted : 03-12-2020


Article Metrics


View Article As

 


Downlaod Files