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Original Article
3 (
1
); 10-15
doi:
10.25259/IHOPEJO_25_2023

Prevalence of ocular morbidity among industrial workers of Eastern Nepal

Department of Optometry, Biratnagar Eye Hospital, Biratnagar, Nepal
Eastern Regional Eye Care Program, Biratnagar Eye Hospital, Biratnagar, Nepal.
Author image

*Corresponding author: Pradeep Kumar Patel, Department of Optometry, Biratnagar Eye Hospital, Biratnagar, Nepal. pradeeppatel00616@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Patel PK, Sah SK, Adhikari PR, Karn RR. Prevalence of ocular morbidity among industrial workers of Eastern Nepal. IHOPE J Ophthalmol. 2024;3:10-5. doi: 10.25259/IHOPEJO_25_2023

Abstract

Objectives:

The study aimed to investigate the prevalence of ocular morbidity among industrial workers.

Materials and Methods:

A descriptive cross-sectional study was carried out in four industries of Koshi Province. The demographic information gathered encompassed details such as age and gender. Employment-related factors included the nature of work, years of experience, and the type of industry. Economic considerations, such as monthly pay scale and job responsibilities, were also explored. Educational background and awareness of ocular hazards in the workplace, along with knowledge about safety devices, constituted crucial components of the survey. Comprehensive ocular examinations, along with assessments for color vision, contrast sensitivity, and stereopsis, were carried out on-site in collaboration with the outreach team of Biratnagar Eye Hospital. A structured schedule was administered through face-to-face interviews and documented.

Results:

In the present study, A total of 359 industrial workers were screened; among them, 321 (89%) were male, and 38 (11%) were Female, with a mean age of 43.72 ± 10.18. The majority of them were from 40 to 49 years of age group 135 (37.6%). The overall prevalence of ocular morbidity among the workers was 289, (80.50%). The highest rate of ocular morbidity was seen in sugar industry 98, (89.9%) followed by the jute industry 85, (80.18%), the soap industry 59, (74.68%), and the dairy industry 47, (72.30%). Presbyopia 166, (46.23%) emerged as the most common ocular morbidity among all workers. A history of ocular injuries was found in 115, (32%) of workers, and only 19% of workers used ocular safety devices. The main reason for not using ocular safety devices was due to unavailability (65%).

Conclusion:

The research highlights a significant prevalence of ocular morbidity among industrial workers, with presbyopia emerging as the most common ocular disorder.

Keywords

Ocular morbidity
Injuries
Ocular safety devices
Industrial workers
Eastern region of Nepal

INTRODUCTION

Ocular morbidity was defined as the spectrum of eye diseases, which include both visually impairing and non-visual impairing ocular conditions.[1] Worldwide, there are 246 million individuals with impaired vision, and 39 million among them are blind.[2] The majority of vision impairments, approximately 80%, can be prevented, treated, or cured. In developing nations, where ocular morbidities pose a significant public health challenge, around 90% of the global blind population resides.[3] Occupational eye disorders represent a complex group of traumatic injuries, harmful exposures, undiagnosed ocular diseases, eyestrain, fatigue, and other miscellaneous ocular complaints.[4] The industrial work environment has given rise to issues with detrimental effects on ocular health, leading to diseases, visual impairment, and blindness. These outcomes stem from the prevalent industrial hazards within the work environment. Industrial and occupational factors significantly contribute to morbidity rates, causing suffering for workers and their families. This scenario adds to the overall societal burden by causing lost productivity and increased reliance on medical and welfare services.[5] Various factors, including socioeconomic variables such as age, gender, type of occupation, income level, and the duration spent working in a particular environment, can influence ocular morbidity. In addition, the provision of eye protection against the hazards prevalent in the work environment plays a crucial role in determining the impact on ocular health.[6] These hazards can have adverse effects on workers’ health, particularly on their eyes, which are vulnerable to injury and diseases.

The prevalence of ocular morbidities in India is consistently reported as high, ranging from 20% to 90%, according to various studies.[7-10] A study from Eastern Nepal found that about 90.7% of morbid conditions were related to injuries during working hours.[11] Work-related ocular injuries were reported between 35% and 60% in different studies, including Nepal.[12-17] The prevalence of uncorrected refractive errors and uncorrected presbyopia has been reported at various rates, between 6% to 45% in several studies.[11,18-20] In several studies, 1–8% of industrial workers, men and 0.4–3% of women have color vision defects.[21,22] Awareness of ocular safety and utilization of ocular safety devices during work and workplace reported to be very low which increases the ocular morbidity.[1,5,13,15,16,21-24]

However, there is limited research on the prevalence of ocular morbidity and its associated factors in industrial workers. The purpose of this study was to assess the prevalence of ocular morbidity and its association with industrial workers in Koshi Province, Nepal.

MATERIALS AND METHODS

A cross-sectional study was carried out in four different industries: the sugar industry, dairy industry, soap industry, and jute industry of Biratnagar Municipality in Koshi Province, Nepal. All the participant were underwent comprehensive optometric examination between March to June 2023. A total of 359 workers were enrolled, and the purposive sampling technique was used. The study was conducted in collaboration with the outreach team of Biratnagar Eye Hospital (BEH), Biratnagar. A Memorandum of Understanding was signed between the industries and the BEH outreach team to conduct the eye screening program, in which the purpose of the study was also explained to them. Appointments were scheduled to do the eye screening, and the workers were advised to bring their previous ocular examination card if they had on the day of screening. Ethical clearance was taken from the Institutional Review Committee (78/A) of the BEH and the study adhered to the Tenets of the Declaration of Helsinki. To conduct the study, all consenting participants were included in the study. The data were collected using a defined clinical proforma and well-structured schedule. A pretesting was done on thirty workers of the pharmaceutical industry and tools were modified.

The clinical proforma and schedule contain data on sociodemographic characteristics, workplace characteristics, history of ocular injury, ocular complaints, use of protective eye devices, and barriers to the use of protective devices. The data were collected through face-to-face interviews by the principal investigator.

All the ocular examination was performed by an optometrist and the test were carried out during the day of eye screening at the scheduled industry. Assessment of uncorrected visual acuity and best-corrected visual acuity (BCVA) for each eye was assessed using the E-optotype of the Snellen chart, which was placed at a 6 m distance from the participant. Visual acuity in the better eye of 6/6–6/12 was considered normal, 6/18–6/60 was classified as visual impairments, and <6/60– 3/60 was classified as severe visual impairments.[2] Objective and subjective (Dry) refraction was performed on all of them who needed distance and near spectacles corrections and spectacles were prescribed accordingly. External eye examination and anterior segments examination were performed using a pen torch, and posterior segments were examined by direct ophthalmoscope where lens status and posterior part of the eye was examined and documented, and then, diagnosis was made accordingly.

Visual function assessments such as color vision were assessed with an Ishihara pseudo isochromatic (38 plates) chart at 75 cm, contrast sensitivity with a Hiding Heidi card at 40 cm, and stereopsis measurement was also done using Titmus fly stereo acuity chart at 40 cm after refraction with BCVA for distance and near.

Statistical analysis

Data were entered into Microsoft Excel and exported to the Statistical Package for the Social Sciences version 20 for analysis. Descriptive data were analyzed using frequency and percentage. Pearson’s Chi-squared test is used to test associations between variables (demography, awareness of ocular hazards, use of ocular protective devices, and type of ocular protective device used). P < 0.05 was considered statistically significant.

RESULTS

A total of 365 industrial workers from four different industries were presented on the day of the eye examination. Among them, six workers did not provide their consent to participate in the study, resulting in non-responses. Among them 321, (89%) were male and 38 ,(11%) were female with the mean age of 43.72 ± 10.18. The majority of them were from 40 to 49 years of age group 135 (37.6%); regarding education levels, the majority of workers had completed primary education 137 (38%). In terms of income, the mean monthly income of the workers was NRs. 22072.42 ± 10090.94. The majority of workers received a monthly income within the range of NRs. 10,000–15,000, which were 117 (32.6%) [Table 1].

Table 1: Sociodemographic status.
Description Frequency Percentage
Gender
  Male 321 89
  Female 38 11
Age in years
  Less than 30 33 9.2
  30–39 80 22.3
  40–49 135 37.6
  50–59 93 25.9
  60 and above 18 5
Education
  Primary level 122 34
  Lower secondary 72 20
  Secondary 65 18
  Higher secondary 35 10
  University education 44 12
  No formal education 21 6
Monthly income (NRs.)
  10,000–15,000 117 32.6
  16,000–20,000 110 30.6
  21,000–25,000 61 17
  26,000 and above 71 19.8
Total 359 100

There was a reduction in visual impairment after best corrections from 9.2% to 5.8% [Table 2]. Overall, the prevalence of ocular morbidity among the workers was 80.50%. The highest ocular morbidity was seen in the sugar industry 98 (89.9%). Presbyopia 166 (46.23%) was the most common ocular morbidity among all industries [Table 3]. The history of ocular injuries among all the industrial workers was 115 (32%), and the majority of them had superficial conjunctiva or corneal foreign body 88 (76.39%). Moreover, the main source of ocular injury was dust/dirt 66 (57.39%). Most of the workers visited the eye clinic/hospital 220 (61.3%) for their treatment after the ocular injury [Table 4]. There was no significant between association ocular injury with age, gender, occupation but significant association with monthly income ,nature of work and use of ocular safety devices[Table 5]. The most of workers were from the production 141 (39.3%), with a mean work experience was of 12.29 years. Awareness of the use of ocular safety devices was 272 (75.8%), but only 69 (19.2%) workers used ocular safety devices, and unavailability was a major reason 190 (52.9%) for not using ocular safety devices. Only 6 (1.7%) of workers had received training on the use of ocular safety devices.

Table 2: The UCVA and BCVA categories among the workers.
UCVA n(%) BCVA n(%)
Normal visual acuity (6/6–6/12) 326 (90.8) 338 (94.2)
Moderate VI (6/18–6/60) 33 (9.2) 21 (5.8)
Severe VI (<6/60) 00 00
Total 359 (100) 359 (100)

UCVA: Uncorrected visual acuity, BCVA: Best-corrected visual acuity, VI: Visual impairment

Table 3: Prevalence of ocular morbidity of workers among four industries.
Sugar industry
(n=109)
Dairy industry
(n=65)
Jute industry
(n=106)
Soap industry
(n=79)
Total (%)
Ocular morbidity 98 (89.9%) 47 (72.30%) 85 (80.18%) 59 (74.68%) 289 (80.50)
Presbyopia 54 28 49 35 166 (46.23)
Refractive error+Presbyopia 21 8 6 9 44 (12.25)
Color vision defect 5 6 6 4 21 (5.84)
Cataract 6 2 9 2 19 (5.29)
Refractive error 2 1 7 1 11 (3.06)
Ocular allergy 1 0 1 2 4 (1.11)
Pingicula+Pterygium 4 0 0 3 7 (1.94)
Pseudophakia 1 2 4 0 7 (1.94)
Glaucoma suspect 1 0 1 1 3 (0.83)
Blepharitis+Meibomian gland dysfunction (MGD) 2 0 0 1 3 (0.83)
Squint/Amblyopia 0 0 1 1 2 (0.55)
Diabetic retinopathy 1 0 1 0 2 (0.55)
Table 4: Ocular injury characteristics of the workers.
Variables Frequency Percentage
Have had ocular injuries
  Yes 115 32
  No 244 68
Types of ocular injuries
  Blunt trauma 13 11.3
  Laceration 7 6.08
  Lid trauma 7 6.08
  Superficial conjunctiva or corneal FB 88 76.52
Source/Cause of injury
  Dust/Dirt 66 57.39
  Chemical 20 17.39
  Machine 15 13.04
  Spray/Splashes 14 12.17
Eye health seeking behaviors after the ocular injury
  Eye clinic/hospital 220 61.3
  Self-treatments 39 10.9
  Did nothing 99 27.6
  Pharmacy/drug store 1 0.3
Table 5: Factors associated with occupational ocular injuries.
Variables Have had ocular injury P-value
No Yes
Age in year 0.802
  Less than 30 22 11
  30–39 57 23
  40–49 91 44
  50–59 62 31
  60 and above 12 6
Gender
  Male 214 107 0.47
  Female 30 8
Monthly income in NRs.
  10,000–15,000 61 56 0.001
  16,000–20,000 78 32
  21000–25,000 44 17
  26,000 and above 61 10
Education
  No formal education 14 7 0.45
  Primary education 76 46
  Secondary education 86 51
  Higher secondary education 28 7
  Higher education 40 4
Nature of work
  Production 103 38 0.053
  Admin 45 13
  Labor 67 39
  Packaging 29 25
Awareness of use of ocular safety devices and ocular hazards
  No 183 89 0.052
  Yes 61 26
Use of safety devices
  No 197 90 0.054
  Yes 47 25

DISCUSSION

We assessed ocular morbidity and its associated factors among industrial workers and found a high prevalence of ocular morbidity. In this study, the majority were male; similar findings were found in other studies among industrial workers, welders, and sawmills.[6,11,12] Industrial work is naturally physically demanding jobs, and this could be a reason for the male dominance of the field.

The mean age of our study participants was 43.72 years, and the largest age group was 40–49 years. A similar finding was reported in other studies[12,15,25,26] regarding education level; the majority of workers had completed primary education, and a similar result was reported by a study done in Nepal.[12] This is because the workers were mainly from the production department and labor.

The mean monthly income of workers was NRs. 22072.42. The majority of workers received a monthly income within the range of NRs. 10,000–15,000. This study shows that the wages are not given according to the wages of Nepal law.[27] It might be due to difference in working hours and wages in the private sector, which are not given according to Nepal law.

The present study showed overall prevalence rate of ocular morbidity was 80.50%, which was higher than the other studies done in Nepal.[12,25] workers and 32.1% in rubber industry workers.[25] In our study, the majority of workers were presbyopia; similar findings were reported in a study done in Goa.[25] The reason might be the age of workers were more than 40 years and above.

The prevalence of ocular injury was 32%, and the most common ocular injury was superficial conjunctiva or corneal foreign bodies. Jute industry workers had a high rate of ocular injury, which might be due to tiny dust and dirt particles in the surrounding atmosphere. On the other hand, a study from Malaysia presented a notably higher prevalence of ocular injury, reaching 66.20% among workers.[28]

In our study, we found that 19% of workers were aware of and using ocular safety devices. Out of them, the majority of workers used goggles as ocular safety devices. The main reason for not using any ocular safety devices was due to the unavailability of devices, and only 2% had received training on the use of ocular safety devices. Whereas, another study finding showed that 47.7% of workers used one or more types of PPE.[12]

This study gave insight into the current situation of industrial workers, which will be helpful for policymakers. There is a need to increase awareness about the use of ocular safety devices and regular eye health examinations. Further research will be needed on a large population at the provincial level to generalize the findings.

CONCLUSION

The research highlights a significant prevalence of ocular morbidity among industrial workers, with presbyopia emerging as the most common ocular disorder.

Acknowledgments

We want to express our sincere appreciation to our friends for their technical assistance; I am deeply thankful to Mr. Amit Mehta and Mr. Rukesh Singh for their guidance, expertise, and continuous support throughout the research process. Their valuable insights and encouragement significantly enriched the quality of this work.

I extend my heartfelt appreciation to Biratnagar Eye Hospital for granting access to their facilities and providing the necessary resources for the data collection. The cooperation and assistance from the medical staff were crucial in ensuring the success of this study. We also want to acknowledge the invaluable assistance provided by the research team of BEH.

Ethical approval

The research/study was approved by the Institutional Review committee at Biratnagar Eye Hospital, number 78/A, dated 24/03/2023.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship

Nil.

References

  1. , , . Prevalence of ocular morbidities among school children in Raipur district, India. Indian J Ophthalmol. 2020;68:340-4.
    [CrossRef] [PubMed] [Google Scholar]
  2. The international classification of diseases 11 (2018) classification. . Visual health - PAHO/WHO. Pan American Health Organization; Available from: https://www.paho.org/en/topics/visual-health [Last accessed on 2023 Dec 02]
    [Google Scholar]
  3. , . Global estimates of visual impairment: 2010. Br J Ophthalmol. 2012;96:614-8.
    [CrossRef] [PubMed] [Google Scholar]
  4. , , . Occupational disorders of the eye In: , ed. Environmental and occupational medicine (4th ed). Philadelphia, PA: Wolters Kluwer/Lippincott Williams and Wilkins; . p. :701-5.
    [Google Scholar]
  5. , , , , , , et al. Socio economic factors affecting ocular morbidity among industrial workers: A case study of coal Camp Enugu, Nigeria. Int J Healthc Sci. 2017;5:222-8.
    [Google Scholar]
  6. , . Environmental and occupational medicine (4th ed). Philadelphia, PA: Wolters Kluwer/Lippincott Williams & Wilkins; .
    [Google Scholar]
  7. , , , , , , et al. Prevalence of ocular morbidities and its correlates in an urban slum of central India. Sch J Appl Med Sci. 2014;2:636-41.
    [Google Scholar]
  8. , . Pattern of treatment compliance among eye patients in a North Indian town. Ann Ital Chir. 2008;79:341-6.
    [Google Scholar]
  9. , . Survey of ocular morbidity with special reference to senile cataract in rural population. Indian J Prev Soc Med. 1985;16:103-10.
    [Google Scholar]
  10. , , , . Prevalence of eye diseases in a semi-urban area. Indian J Public Health. 1984;28:189-93.
    [Google Scholar]
  11. , , , . Morbidity patterns among the welders of eastern Nepal: A cross-sectional study. Ann Occup Environ Med. 2016;28:62.
    [CrossRef] [PubMed] [Google Scholar]
  12. , , , , . Work related ocular injury: Nepal. Nepal J Ophthalmol. 2018;10:47-56.
    [CrossRef] [PubMed] [Google Scholar]
  13. , . The role of eye protection in work-related eye injuries. Aust N Z J Ophthalmol. 1995;23:101-6.
    [CrossRef] [PubMed] [Google Scholar]
  14. , , , , . A case-crossover study of risk factors for occupational eye injuries. J Occup Environ Med. 2012;54:42-7.
    [CrossRef] [PubMed] [Google Scholar]
  15. , , , . Protective glasses. Personal eye protection for professional use. Ophthalmologe. 2014;111:681-90.
    [CrossRef] [PubMed] [Google Scholar]
  16. , . Industrial accident-related ocular emergencies in a tertiary hospital in Singapore. Singapore Med J. 2008;49:280-5.
    [Google Scholar]
  17. , . Eye health of industrial workers in Southeastern Nigeria. West Afr J Med. 2002;21:132-7.
    [Google Scholar]
  18. , , . High prevalence of refractive errors in an elderly population; a public health issue. BMC Ophthalmol. 2023;23:38.
    [CrossRef] [Google Scholar]
  19. , , , , , , et al. Prevalence of refractive errors and risk factors for myopia among schoolchildren of Almaty, Kazakhstan: A cross-sectional study. PLoS One. 2022;17:e0269474.
    [CrossRef] [PubMed] [Google Scholar]
  20. , , , , , . Global and regional estimates of prevalence of refractive errors: Systematic review and meta-analysis. J Curr Ophthalmol. 2018;30:3-22.
    [CrossRef] [PubMed] [Google Scholar]
  21. , , , , , , et al. Executive summary: Heart disease and stroke statistics--2010 update: A report from the American Heart Association. Circulation. 2010;121:948-54.
    [CrossRef] [PubMed] [Google Scholar]
  22. . Assessment of inherited colour vision defects in clinical practice. Clin Exp Optom. 2007;90:157-75.
    [CrossRef] [PubMed] [Google Scholar]
  23. . Materials for occupational eye protectors. Clin Exp Optom. 2012;95:129-39.
    [CrossRef] [PubMed] [Google Scholar]
  24. . The impact of occupational effects on workers' health. I. Morbidity. Rev Saude Publica. 1988;22:311-26.
    [Google Scholar]
  25. , , , . Prevalence of ocular morbidity amongst industrial workers in Goa, India. Int J Recent Adv Multidiscip Res. 2015;2:298-300.
    [Google Scholar]
  26. , , . A case-control study of eye injuries in the workplace in Hong Kong. Ophthalmology. 2004;111:70-4.
    [CrossRef] [PubMed] [Google Scholar]
  27. Minimum wage/salary. . Available from: https://wageindicator.org/salary/minimum-wage/nepal [Last accessed on 2023 Dec 02]
    [Google Scholar]
  28. , , , , . Original research: Characteristics of eye injuries, medical cost and return-to-work status among industrial workers: A retrospective study. BMJ Open. 2022;12:e048965.
    [CrossRef] [PubMed] [Google Scholar]
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