CC BY 4.0 · Libyan International Medical University Journal 2024; 09(02): 062-067
DOI: 10.1055/s-0044-1789236
Original Article

A Cross-Sectional Study about the Prevalence of Color Vision Deficiency among School Children in Benghazi

1   Department of Ophthalmology, Faculty of Medicine, University of Benghazi, Benghazi, Libya
,
1   Department of Ophthalmology, Faculty of Medicine, University of Benghazi, Benghazi, Libya
› Author Affiliations
Funding None.
 


Abstract

Background Color vision deficiency (CVD) is a common disorder caused by damage to retinal photoreceptors and cones. The disorder makes a person less able to perceive color variations.

Aims The objective of the study was to assess the prevalence of CVD among the school children in Benghazi, Libya.

Methods This cross-sectional study was performed in the Department of Ophthalmology, Benghazi University, Benghazi, Libya, during the period from December 2023 to March 2024. The study included 1,022 students aged 6 to 18 years to assess the prevalence of CVD. Visual acuity assessment was performed in a place with good daylight illumination using the standard Snellen Tumbling E chart at a distance of 6 m. Color vision evaluation was performed in the schools using Ishihara color plates (24 plate–edition). The quantitative variables were presented as mean ± standard deviation, and the qualitative variables were presented as frequencies and percentages. The Student's t-test was used for comparing means, whereas the chi-square test was applied for comparing the frequencies. A p-value of < 0.05 was considered statistically significant.

Results CVD was present in 15 cases (1.5%). There were 13 males (2.6%) and 2 females (0.38%) with a statistically significant difference regarding gender. Among the 13 males with CVD, 7 students (53.8%) had deuteranomaly, 2 students (15.4%) had deuteranopia, 1 student (7.7%) had protanomaly, and 3 students (23.1%) had color blindness. The two females with CVD both had deuteranomaly.

Conclusion Early detection of CVD is vital to making informed decisions about a student's future career. With early detection, parents and teachers can adjust their educational strategies to ensure the best learning outcomes for the student.


#

Introduction

Human beings have the special ability to see in color, which distinguishes them from other species. Color vision is the ability to discriminate a light stimulus as a function of its wavelength. The Young–Helmholtz theory of trichromatic color vision postulates the existence of three kinds of cones, each containing a different photopigment which is maximally sensitive to one of the three primary colors. Normal, or trichromatic, color vision is mediated by three types of cone photoreceptors—designated short- (S), middle- (M), and long- (L) wavelength-sensitive, showing peak absorbencies at light wavelengths of 415, 530, and 560 nm, respectively. Blue, green, and red are thus called primary colors as any color can be produced by mixing appropriate proportion of these three colors.[1]

Color vision deficiency (CVD) arises when there is a fault in the development of one or more types of the retinal cone cells (photoreceptors) that control color discrimination in light and conducting them into the optic nerve.[2] The most common color vision defects are red-green type (protan-deutan). In red-green CVD, males are often affected much more than females. Among people with Northern European descent, it occurs in almost 1 in 12 males and 1 in 200 females. Color vision defects of the blue-yellow type affect males and females equally. This complaint occurs in less than 1 in 10,000 people worldwide. Color vision defects of the red-green type are inherited as an X-linked recessive pattern. The mutant genes responsible for CVD are located on the X chromosome, which is one of the two sex chromosomes. In males (who have only one X chromosome), one genetic change in each cell is enough to cause the condition, so disorders are much more frequent in males than females.[3]

Using color vision is a fundamental need for daily tasks like driving, cooking, working, and dressing.[4] CVDs can significantly negatively affect quality of life, studying, and occupation, and can increase the risk of road traffic accidents. People with CVDs are at a distinct disadvantage when performing certain visual activities, and they might also be excluded from pursuing particular occupations.[5]

Male sex, consanguineous marriage, and a positive family history of CVDs are the key risk factors for CVDs.[6] There are not many extensive studies about the prevalence rate of CVDs in Libya. Rahman et al, [7] studied the incidence of red-green color blindness in a Libyan population compared with two samples of Indian population where the incidence of color blindness was found to be 2.209% in the Libyan population.[7]

The current rationale for school screening for CVD is the potential preclusion from occupations such as driving, flying, defense services, engineering, and medicine. School children should know if they have CVD so they can be helped more quickly to find adaptive strategies and be able to take it into account when planning their career. The objective of the study was to assess the prevalence of CVD among school children in Benghazi, Libya.


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Methods

This cross-sectional study was conducted in the Ophthalmology Department at Benghazi University, Benghazi, Libya during the period from December 2023 to March 2024. The target population of the study was 1,022 students aged 6 to 18 years, from all educational levels before university (primary, preparatory, and secondary), from 7 different schools in Benghazi. A written informed consent was obtained from all parents or guardians of the children and the study was approved by the research ethics committee of the Faculty of Medicine, Benghazi University (Institutional Review Board).

Study Population and Sampling Method

A multistage sampling method was employed. First, 7 schools were randomly selected from the 250 schools in Benghazi using a random number table. Next, from each selected school, school children aged 6 to 18 years who were able to read numbers were selected. Children who were healthy with no abnormal ocular findings were included in the study. Participants on chronic drug therapy for more than 1 month, with a systemic illness, or with a history of ocular or head injury that significantly affected vision were excluded.

Using the World Health Organization Manual for sample size determination in health studies, with an anticipated population proportion of 8%, an absolute precision of 2% at a 95% confidence interval, a design effect of 2, and an assumed 90% response rate, the minimum sample size required for this study was calculated to be 1,022.[8] All 1,022 selected students were interviewed and tested for CVD.


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Inclusion Criteria

  1. Libyan students with visual acuity 6/6 or 6/9, with or without glasses.

  2. Students aged between 6 and 18 years.

  3. Students who agreed to participate in the study.


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Exclusion Criteria

  1. Non-Libyan students.

  2. Students with visual acuity worse than 6/9.

  3. Students who did not agree to participate in the study.

  4. Children with any evidence of ocular pathology, such as congenital cataract, congenital glaucoma, ocular trauma, previous ocular surgery, or long-term use of medication.


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Visual Acuity Assessment

In the first step, the participants were asked to answer a demographic questionnaire completed by their parents at home ([Fig. 1]). Then, the examinations were performed.

Zoom Image
Fig. 1 Questionnaire on color vision deficiency in school students.

Visual acuity assessment was performed in a place with good daylight illumination using the standard Snellen Tumbling E chart at a distance of 6 m. All students who wore spectacles had their visual acuity assessed while wearing their spectacles. Students with decreased visual acuity were referred for further evaluation and refraction at an ophthalmology clinic.

Ishihara color vision plates were used to detect and classify red-green CVDs, which are the most common types of CVD.

Color vision evaluation was performed in the students' schools by an ophthalmologist using Ishihara color plates (24 plate–edition). Before performing the test, the procedure was clearly explained to the students. The plates were held at a distance of 75 cm, and the students were asked to read the numerals that were visible on the plates within 3 to 5 seconds. A pass of the Ishihara test was the ability to read all plates or an incorrect response in not more than two plates. The results were classified based on the instructions provided in the manual for the Ishihara test plates.

To determine the normality or defectiveness of color vision, plates 1 to 15 were evaluated. If 13 or more plates were read normally, the color vision was regarded as normal. If 9 or fewer plates were read normally, the color vision was regarded as color blind (as per the Ishihara 24-plate edition guidelines). For plates 14 and 15, only those who read the numerals “5” and “45” and did so more easily than the numerals on plates 10 and 9 were considered to have abnormal readings. Plates 16 and 17 were used to determine the presence of protanopes and deuteranopias. All children with CVDs were referred to the base hospital for further evaluation and management.


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Statistical Analysis

The data were entered into Microsoft Excel, and the statistical analysis was performed using the statistical software SPSS version 21.0. The quantitative (numerical) variables were presented as mean and standard deviation, and the qualitative (categorical) variables were presented as frequency and percentage.

The Student's t-test was used for comparing the mean values between the two groups, whereas the chi-square test was applied for comparing the frequencies. A p-value less than 0.05 was considered statistically significant.


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#

Results

[Table 1] shows that a total of 1,022 students with a mean age of 12.5 ± 5.4 years were studied. They were 496 (48.5%) males and 526 (51.5%) females. Consanguinity between the parents was present in 211 cases (20.6%), family history of CVD was present in 39 cases (3.8%), family history of eye disease was present in 324 cases (31.7%), and family history of CVD was present in 39 cases (3.8%). CVD was present in 15 cases (1.5%), including 3 cases (0.3%) with family consanguinity, 8 cases (0.8%) with a family history of eye disease, 3 cases (0.3%) with a family history of CVD, and 1 case (0.1%) without a family history or consanguinity.

Table 1

Basic characteristics of the study participants (n = 1,022)

Variable

N

Percent (%)

Gender

 Male

496

48.5

 Female

526

51.5

Age (mean ± SD)

12.5 ± 5.4

Visual accuracy

 6-Jun

847

82.9

 9-Jun

121

11.8

Visual accuracy corrected

 6-Jun

43

4.2

 9-Jun

11

1.1

Consanguinity between parents

 No

811

79.4

 Yes

211

20.6

Family history of color vision deficiency

 No

983

96.2

 Yes

39

3.8

Family history of eye disease

 No

698

68.3

 Yes

324

31.7

Total color vision deficiency

15

1.5

 With family consanguinity

3

0.3

 With family history of eye disease

8

0.8

 With family history of color vision deficiency

3

0.3

 Without family history or consanguinity

1

0.1

Abbreviation: SD, standard deviation.


[Table 2] shows that among the students with CVD, there were 13 males (prevalence of 2.6%) and 2 females (prevalence of 0.38%), with a statistically significant difference regarding gender (p < 0.03).

Table 2

Prevalence of color vision deficiency according to sex (n = 15)

Sex

n (%)

Chi-square

p

Male (496)

13 (2.6)

3.129

0.03[a]

Female (526)

2 (0.38)

a Ask corresponding author about the method used to calculate this p-value.


[Table 3] shows that among the 13 male students with CVD, 7 (53.8%) with deuteranomaly, 2 (15.4%) with deuteranopia, 1 (7.7%) with protanomaly, and 3 (23.1%) with color blindness. The 2 female students with CVD had deuteranomaly. [Table 4] provides a summary of studies reporting prevalence rates similar to the current study.

Table 3

Distribution of the cases of CVD according to gender and type

Type of CVD

Male (n = 13)

Female (n = 2)

Number

Percentage

Number

Percentage

Deuteranomaly

7

53.8

2

100

Deuteranopia

2

15.4

0

0

Protanomaly

1

7.7

0

0

Protanopia

0

0

0

0

Color blindness

3

23.1

0

0

Total

13

2.6

2

0.38

Abbreviation: CVD, color vision deficiency.


Table 4

Summary of studies quoting prevalence rates similar to the current study

Author

Variables

Total CVD prevalence

CVD in males

CVD in females

Current study

1.5%

2.6%

0.38%

Khairoalsindi et al[6]

1.77%

3.5%

0.5%

Elshazly et al[15]

1.9%

2.8%

0.9%

Moudgil et al[16]

1.87%

1.69%

0.184%

Mashige and van Staden[19]

2.2%

4.2%

0.6%

Chhipa et al[20]

0.9%

1.4%

0.4%

Abbreviation: CVD, color vision deficiency.



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Discussion

Color vision is an integral part of a child's life, as they are often exposed to colorful objects at school and during day-to-day activities. For example, they are asked to describe certain items by their colors and fill in coloring sheets at school. Children with CVD are not able to learn to their full capacity, which can undermine their confidence and provide a faulty foundation for future learning.[9] Poole et al[10] proved that color blindness can be a prohibitive factor in some cases, such as for histopathologists and medical laboratory technologists.

CVD may be congenital or acquired. Congenital color defects are nonpathological, incurable, and constant throughout life. There are also different causes for acquired color vision defects, such as ocular or neurological disease, some metabolic disorders, drug toxicity, and exposure to certain solvents.[11]

CVD does not cause complete blindness, and there are no available therapeutics that can treat CVD. However, color vision is crucial to an individual's understanding of their visual world, and those with color vision defects can experience difficulties in everyday life.[12] Those who have CVD will be better able to adapt and make more informed career choices if they know about their color vision status. However, a high proportion of school children are unaware of their color vision status, and undiagnosed CVD could pose a handicap to the academic performance of an affected student. Moreover, early detection of color vision malfunction in children allows parents and teachers to make necessary adjustments to the teaching methods for appropriate learning.[12]

Screening of color vision defects only requires detection of the presence or absence of a defect. Since the prevalence of protan and deutan defects are by far the highest among congenital color deficiencies, most screening tests for color vision only identify red-green deficiencies. Screening of CVDs is usually done with pseudoisochromatic plates, of which the Ishihara test is probably the most well-known.[1] Ishihara plates can only be used to detect and classify red-green CVDs, which are the most common types of CVD.[13]

The current study showed that the prevalence of CVD was 1.5%, which is almost similar to the study of Geletu et al,[14] who reported a prevalence of CVD of 1.6%, and the study of Khairoalsindi et al,[6] who reported a prevalence of CVD of 1.77%. Elshazly et al[15] reported a prevalence of CVD of 1.9% in their study. Additionally, in a study conducted by Moudgil et al,[16] the prevalence of CVD was 1.87% among 3,259 students. In contrast, the prevalence in the male population among other studies was 3.90% in the study by Shrestha et al[17] and 3.35% in a study conducted by Oriowo and Alotaibi[18] among 1,632 school children in Saudi Arabia. This variability in the prevalence of CVD may be due to differences in study groups, geographical areas, and ethnicity. In comparison to the above studies, the prevalence of CVD is low in Benghazi city.

The current study showed that the average prevalence of CVD was 2.6% in males and 0.38% in female children, which is almost similar to the study of Elshazly et al[15] who found that the prevalence of CVD was 2.8% in males and 0.9% in females, which was a statistically significant difference. In the same line, the study of Mashige and van Staden[19] reported that among 704 (53.9%) females and 601 (46.1%) males, the prevalence was 4.2 and 0.6% in males and females, respectively. Also, the study of the Khairoalsindi et al[6] found that the prevalence was 3.5% in males and 0.5% in females, while in the Chhipa et al[20] study, it was 1.4% in males and 0.4% in females. This higher prevalence of CVD in males than in females may be attributed to the fact that male children tend to have a higher CVD frequency, which reinforces the X-linked recessive nature of the trait (i.e., the single X-chromosome in males is predominant to color blindness, while females with two X-chromosomes can act as dosage compensation and decrease the risk of the disease).

The current study showed that there were 13 males (2.6%) with color vision defects, 7 students (53.8%) had deuteranomaly, 2 students (15.4%) had deuteranopia, 1 student (7.7%) had protanomaly, and 3 students (23.1%) had color blindness. There were 2 females with CVD, and they were shown to have deuteranomaly. Similarly to our results, the study of Geletu et al[14] found that the prevalence of deuteranomaly was 48.5%, that of deuteranopia was 21.2%, and that of protanomaly was 18.4%. In addition, this was also confirmed by Nazeer et al,[21] who found the prevalence of deuteranomaly to be 41.6% and that of protanomaly to be 25%.

In the current study, the prevalence of color blindness was relatively high (3 students out of the 13 with CVD). This may be attributed to various factors that can affect color blindness prevalence, including genetic factors, which are considered among the most important determinants of the dispersion of the disease and its prevalence in the communities, as well as sampling and analytical techniques, racial differences, and different instruments of examination, which can also lead to inconsistent results.

Congenital and genetic ocular disorders are linked to parental consanguinity. Due to several mechanisms, there is an increased risk of refractive errors (REs) with parental consanguinity. Specifically, the risk of vision impairment is among the genetic disorders that could be included in preconception genetic counseling for consanguinity. This would show the presence of a genetic or hereditary disorder in the ancestors. In the field of ophthalmology, few studies have explored the relationship between consanguinity and ocular or vision disorders. Consanguinity is rarely associated with acquired blindness.[22] Further, an autosomal recessive disorder (e.g., retinitis pigmentosa) could be more common a finding in populations where consanguinity is more prevalent. An increased prevalence of congenital cataracts has also been reported in those populations. There are suggestions that improved screening methods (especially for REs), obtaining genetic counseling, and early therapeutic interventions can reduce the effect of childhood blindness.[23]

Because color blindness is an asymptomatic and nonfatal disorder, most sufferers are usually unaware of the defect since their vision is otherwise normal. However, early diagnosis of CVD is important for preparing color-blind individuals for future careers and to avoid mistakes in situations that might involve lives. In some jobs such as medical practices, traffic control, and driving, color discernment has profound implications. Hence, it is essential that CVD is detected at an early age to guide against certain occupational hazards.[24]


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Limitations

This study has several limitations that may affect the validity and generalizability of its findings. The most significant limitation is the sample bias resulting from the use of a school-based sample, which may not accurately reflect the wider population. Additionally, the participants did not undergo detailed eye examinations, leading to a lack of crucial data. Finally, the absence of genetic counseling means that important hereditary factors influencing the study's focus were not taken into account, potentially missing out on insights that could have enriched the research.


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Conclusion

The prevalence of CVD among school children in Benghazi, Libya, was 1.5%, with males having a significantly higher prevalence than females. Screening of school children can be a simple and highly effective strategy in detecting color vision impairment. Early detection of color vision impairment is crucial for making well-informed decisions about a person's future profession. When children's color vision problems are identified early on, parents and educators can modify their teaching strategies to ensure that their students learn in the best possible way. However, in developing nations, this is not always feasible.


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Conflict of Interest

None declared.

  • References

  • 1 Chandak N, Daigavane S, Sharma S. Screening of color vision deficiency in school children of Wardha District. India J Clin Exper Ophthalmol 2017; 3 (01) 80-84
  • 2 Shah A, Hussain R, Fareed M, Afzal M. Prevalence of red-green color vision defects among Muslim males and females of Manipur, India. Iran J Public Health 2013; 42 (01) 16-24
  • 3 Hussein A, Al-Dabbagh S. Prevalence of color vision deficiency among primary school pupils in Duhok city, Kurdistan Region, Iraq. AMJ 2022; 7 (01) 11-16
  • 4 Barry J, Mollan S, Burdon M. et al. Development and validation of a questionnaire assessing the quality of life impact of color blindness (CBQoL). BMC Ophthalmol 2017; 17 (01) 1-7
  • 5 Osman S, Khalaf S, Mohammed H, El-Sebaity D, Osman D. Prevalence and predictors of colour vision defects among Egyptian university students. East Mediterr Health J 2021; 27 (04) 399-406
  • 6 Khairoalsindi OA, Almasoudi BM, Bamahfouz AY, Alghamdi AA, Siddiqui MI. Prevalence and determinants of color vision defects among preparatory university students at Makkah, Saudi Arabia. Middle East Afr J Ophthalmol 2019; 26 (03) 133-137
  • 7 Rahman SA, Singh PN, Nanda PK. Comparison of the incidence of colour blindness between sections of Libyan and Indian populations. Indian J Physiol Pharmacol 1998; 42 (02) 271-275
  • 8 Lwang SK, Lemeshow S. Sample Size Determination in Health Studies, A Practical Manual. Geneva, Switzerland: World Health Organization; 1991: 1-3
  • 9 Mashige KP. Impact of congenital color vision defect on color-related tasks among schoolchildren in Durban, South Africa. Clin Optom (Auckl) 2019; 11: 97-102
  • 10 Poole CJ, Hill DJ, Christie JL, Birch J. Deficient colour vision and interpretation of histopathology slides: cross sectional study. BMJ 1997; 315 (7118): 1279-1281
  • 11 Woldeamanuel GG, Geta TG. Prevalence of color vision deficiency among school children in Wolkite, Southern Ethiopia. BMC Res Notes 2018; 11 (01) 838
  • 12 Chakrabarti A, Chakraborti S. Red-green color vision deficiency and lack of awareness among rural school students in India. Iran J Public Health 2015; 44 (07) 1018-1020
  • 13 Abdulrahman M. Prevalence of color vision deficiency among students in Hajand and Amad high schools in Shekhan city. Kurdistan J Apllied Res 2017; 2 (02) 84-88
  • 14 Geletu T, Muthuswamy M, Raga T. Identification of colorblindness among selected primary school children in Hararghe Region, Eastern Ethiopia. Alex J Med 2018; 54 (04) 327-330
  • 15 Elshazly A, El-Hinnawi H, Osman I. Prevalence and types of color vision deficiency among primary school students in Alexandria. Delta. J Ophthalmol 2021; 22 (03) 230-235
  • 16 Moudgil T, Arora R, Kaur K. Prevalence of color blindness in children. Intern J Med Dental Sci 2016; 5 (02) 1252-1258
  • 17 Shrestha RK, Joshi MR, Shakya S, Ghising R. Color vision defects in school going children. JNMA J Nepal Med Assoc 2010; 50 (180) 264-266
  • 18 Oriowo O, Alotaibi A. Color vision screening among Saudi Arabian children. Afr Vision Eye Health 2008; 67 (02) 56-61
  • 19 Mashige KP, van Staden DB. Prevalence of congenital colour vision deficiency among Black school children in Durban, South Africa. BMC Res Notes 2019; 12 (01) 324-329
  • 20 Chhipa SA, Hashmi FK, Ali S, Kamal M, Ahmad K. Frequency of color blindness in pre-employment screening in a tertiary health care center in Pakistan. Pak J Med Sci 2017; 33 (02) 430-432
  • 21 Nazeer M, Bashir S, Rafiq N. Color vision deficiency in medical students in Jammu & Kashmir, India Galic. Med J 2019; 26 (01) 23-26
  • 22 Akkaya S. Rate of parental consanguineous marriage among patients with visual impairments in Turkey. Med Hypothesis Discov Innov Ophthalmol 2016; 5 (04) 115-120
  • 23 Alsaqr A. Relationship between consanguineous marriages and incidence and severity of refractive errors: a cross-sectional study. Int J Ophthalmol Vis Sci 2019; 4 (04) 81-87
  • 24 Fakorede S, Akpan L, Adekoya K, Oboh B. Prevalence and population genetic data of colour vision deficiency among students from selected tertiary institutions in Lagos state, Nigeria. Egypt J Med Hum Genet 2022; 23 (01) 73

Address for correspondence

Sarah Husayn Salih Alarifi
Department of Ophthalmology, Faculty of Medicine, University of Benghazi
Benghazi 3332 + MV5
Libya   

Publication History

Received: 05 May 2024

Accepted: 29 July 2024

Article published online:
18 September 2024

© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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  • References

  • 1 Chandak N, Daigavane S, Sharma S. Screening of color vision deficiency in school children of Wardha District. India J Clin Exper Ophthalmol 2017; 3 (01) 80-84
  • 2 Shah A, Hussain R, Fareed M, Afzal M. Prevalence of red-green color vision defects among Muslim males and females of Manipur, India. Iran J Public Health 2013; 42 (01) 16-24
  • 3 Hussein A, Al-Dabbagh S. Prevalence of color vision deficiency among primary school pupils in Duhok city, Kurdistan Region, Iraq. AMJ 2022; 7 (01) 11-16
  • 4 Barry J, Mollan S, Burdon M. et al. Development and validation of a questionnaire assessing the quality of life impact of color blindness (CBQoL). BMC Ophthalmol 2017; 17 (01) 1-7
  • 5 Osman S, Khalaf S, Mohammed H, El-Sebaity D, Osman D. Prevalence and predictors of colour vision defects among Egyptian university students. East Mediterr Health J 2021; 27 (04) 399-406
  • 6 Khairoalsindi OA, Almasoudi BM, Bamahfouz AY, Alghamdi AA, Siddiqui MI. Prevalence and determinants of color vision defects among preparatory university students at Makkah, Saudi Arabia. Middle East Afr J Ophthalmol 2019; 26 (03) 133-137
  • 7 Rahman SA, Singh PN, Nanda PK. Comparison of the incidence of colour blindness between sections of Libyan and Indian populations. Indian J Physiol Pharmacol 1998; 42 (02) 271-275
  • 8 Lwang SK, Lemeshow S. Sample Size Determination in Health Studies, A Practical Manual. Geneva, Switzerland: World Health Organization; 1991: 1-3
  • 9 Mashige KP. Impact of congenital color vision defect on color-related tasks among schoolchildren in Durban, South Africa. Clin Optom (Auckl) 2019; 11: 97-102
  • 10 Poole CJ, Hill DJ, Christie JL, Birch J. Deficient colour vision and interpretation of histopathology slides: cross sectional study. BMJ 1997; 315 (7118): 1279-1281
  • 11 Woldeamanuel GG, Geta TG. Prevalence of color vision deficiency among school children in Wolkite, Southern Ethiopia. BMC Res Notes 2018; 11 (01) 838
  • 12 Chakrabarti A, Chakraborti S. Red-green color vision deficiency and lack of awareness among rural school students in India. Iran J Public Health 2015; 44 (07) 1018-1020
  • 13 Abdulrahman M. Prevalence of color vision deficiency among students in Hajand and Amad high schools in Shekhan city. Kurdistan J Apllied Res 2017; 2 (02) 84-88
  • 14 Geletu T, Muthuswamy M, Raga T. Identification of colorblindness among selected primary school children in Hararghe Region, Eastern Ethiopia. Alex J Med 2018; 54 (04) 327-330
  • 15 Elshazly A, El-Hinnawi H, Osman I. Prevalence and types of color vision deficiency among primary school students in Alexandria. Delta. J Ophthalmol 2021; 22 (03) 230-235
  • 16 Moudgil T, Arora R, Kaur K. Prevalence of color blindness in children. Intern J Med Dental Sci 2016; 5 (02) 1252-1258
  • 17 Shrestha RK, Joshi MR, Shakya S, Ghising R. Color vision defects in school going children. JNMA J Nepal Med Assoc 2010; 50 (180) 264-266
  • 18 Oriowo O, Alotaibi A. Color vision screening among Saudi Arabian children. Afr Vision Eye Health 2008; 67 (02) 56-61
  • 19 Mashige KP, van Staden DB. Prevalence of congenital colour vision deficiency among Black school children in Durban, South Africa. BMC Res Notes 2019; 12 (01) 324-329
  • 20 Chhipa SA, Hashmi FK, Ali S, Kamal M, Ahmad K. Frequency of color blindness in pre-employment screening in a tertiary health care center in Pakistan. Pak J Med Sci 2017; 33 (02) 430-432
  • 21 Nazeer M, Bashir S, Rafiq N. Color vision deficiency in medical students in Jammu & Kashmir, India Galic. Med J 2019; 26 (01) 23-26
  • 22 Akkaya S. Rate of parental consanguineous marriage among patients with visual impairments in Turkey. Med Hypothesis Discov Innov Ophthalmol 2016; 5 (04) 115-120
  • 23 Alsaqr A. Relationship between consanguineous marriages and incidence and severity of refractive errors: a cross-sectional study. Int J Ophthalmol Vis Sci 2019; 4 (04) 81-87
  • 24 Fakorede S, Akpan L, Adekoya K, Oboh B. Prevalence and population genetic data of colour vision deficiency among students from selected tertiary institutions in Lagos state, Nigeria. Egypt J Med Hum Genet 2022; 23 (01) 73

Zoom Image
Fig. 1 Questionnaire on color vision deficiency in school students.