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. 2021 Mar 22;16(3):e0248936. doi: 10.1371/journal.pone.0248936

Prevalence and associated factors of myopia among school children in Bahir Dar city, Northwest Ethiopia, 2019

Abel Sinshaw Assem 1,*, Mebratu Mulusew Tegegne 1, Sofonias Addis Fekadu 1
Editor: James Fielding Hejtmancik2
PMCID: PMC7984635  PMID: 33750986

Abstract

Background

Myopia is the leading cause of correctable visual impairment and preventable blindness worldwide. Genetic and environmental factors contribute to the development of myopia. Myopia is appearing with greater prevalence in young children.

Objective

This study aimed to assess the prevalence and associated factors of myopia among school children in Bahir Dar city, Northwest Ethiopia, 2019.

Methods and materials

A school-based cross-sectional study was conducted among school children of 6 to 18 years of age in Bahir Dar city from October to November 2019. A pretested interviewer-administered structured questionnaire was used to collect data among 634 participants using a multi-stage sampling technique from primary and secondary schools. Cycloplegic refraction was performed by optometrists for each student with 1% cyclopentolate eye drop, and subjective refraction was carried out to determine the final prescription of the students. Myopia was defined as spherical equivalent refractive error of ≥ 0.5 diopter in either eye. Data were entered into Epi Info version 7 and exported to Statistical Package for Social Sciences version 23 for analysis. Tables, frequency, and mean were used for descriptive statistics. Bivariable and multivariable logistic regression analyses were done to identify risk factors of myopia. Odds ratio with 95% confidence level was determined and variables with p–value of < 0.05 were considered as statistically significant.

Results

Among a total of 601 study participants, 51 (8.49%) were myopic. Age group of 10–13 years (AOR = 6.54: 95% CI = 5.56–10.86), 14–18 years (AOR = 6.32: 95% CI = 5.32–9.69), 2–4 hour per day mobile exposure (AOR = 3.69: 95% CI = 1.63–8.38), > 4 hour per day mobile exposure (AOR = 11.6: 95% CI = 4.41–30.42), near working distance of < 33 centimeter (AOR = 6.89: 95% CI = 2.71–17.56) and outdoor activity (AOR = 3.94: 95% CI = 1.87–8.31) were significantly associated with myopia.

Conclusions

The prevalence of myopia was high among school children in Bahir Dar city. Older age, longer duration of mobile exposure, shorter near working distance were the risk factors for the development of myopia whereas having outdoor activity was the protective factor.

Introduction

Myopia, commonly known as short-sightedness, is a state of refraction in which parallel rays of light coming from infinity are brought to focus in front of the retina due to having a long axial length or steep corneal curvature [1]. It is the leading cause of correctable visual impairment and preventable blindness worldwide [2]. The clinical feature of myopia includes reduction of distance vision, diminished color vision and contrast sensitivity [3].

Myopia is appearing with greater prevalence in young children [4, 5], which places these children at greater risk of developing high myopia. Myopia is more prevalent in Asian countries but relatively less common in Europe and North American countries [6]. Its prevalence rate in Africa is also lower as compared to Asian and European countries [6]. The prevalence was about 41% of the mid-to-late teenage population in the United States of America [7]. A study done in china among school students showed a prevalence rate of 36.71% [8]. In a study conducted in Taiwan school children, the prevalence rate of myopia ranges from 20% to 84% [9]. Whereas in a study done among black Africans children the prevalence rate reaches from 3% to 9.4% [10]. A study conducted in Gondar, Ethiopia among high school students showed a prevalence rate of myopia as 11.8% [2].

Myopia is the result of a combination of genetic and environmental factors [1, 6, 11], but the increases in myopia prevalence during the past century in certain societies argue strongly for a greater environmental inffuence [1]. It has been associated with age, sex, intensity of schooling, family history of myopia, time to outdoor activity, type of school, near working distance, and exposure to near work activities [2, 1114]. As there is no universally accepted method for the prevention of myopia onset, it is important to identify modifiable risk factors associated with its development.

The worldwide increment in the prevalence of myopia has a large public health impact because of the associated risk in potentially blinding ocular conditions such as maculopathy, retinal detachment and optic neuropathy [5]. These could also impair vision-related quality of life and increase difficulty in performing vision-related tasks [15]. The economic costs of myopia are also high [6]. It has a considerable burden on individuals and society that can harm career choice, ocular health, and sometimes self-esteem [2, 8]. Public health interventions are essential to descend the growing myopia prevalence and its associated burden [7]. Blindness in children is among the priorities of WHO and the impact of blindness due to refractive errors including myopia is considered in terms of blind person-years [16]. Therefore, WHO recommends a regular visual screening program and provision of free spectacles for school children [17]. Ethiopia is one of the least developed countries in Africa, with relatively poor health service coverage especially of eye health care, and is believed to have one of the world’s highest rates of blindness [18].

There is limited study regarding the prevalence and associated factors of myopia among school children generally in Ethiopia, and particularly in the study area. So, the aim of this study was to assess the prevalence and associated factors of myopia among school children in Bahir Dar city, Northwest Ethiopia.

Methods and materials

Study design, setting, and period

School-based cross-sectional study was conducted in Bahir Dar city, Northwest Ethiopia, between October 18 and November 25, 2019. Bahir Dar is the capital city of the Amhara National Regional State, which is located 556 kilometers Northwest of Addis Ababa, the capital city of Ethiopia. The population of the city is estimated to be 389,177 in the year 2020 based on the 2007 Census [19]. Currently, the city has been divided into 6(six) sub-cities and 4 satellite towns found on the four directions of road exits. Satellite towns comprise 16% of the total population. According to the city Education office data, in the academic year of 2019/2020, there were 20(twenty) 1st cycle primary schools, 55(fifty-five) 2nd cycle primary schools, and 18(eighteen) secondary schools in the city. According to the city Health office report, the city comprising 2 government hospitals and 4 specialty private-owned clinics that provide eye care services including refraction. Currently, there is no government-owned spectacle dispensing unit in the city.

Sample size determination

A total sample size of 634 was determined using a single population proportion formula by taking a prevalence of 50% since there is no similar study conducted in Ethiopia, by considering 95% confidence interval, 5% margin of error, design effect of 1.5 for multistage sampling, and 10% non-response rate.

Sampling technique

A multistage sampling method was employed to select study participants from Bahir Dar city schools. Six schools; Shimbet, SOS, Fasilo, and Yekatit 12 from primary schools and Tana Haik and Bahir Dar Academy from secondary schools were selected by using a simple random sampling technique. Then by using proportional allocation for each school a systematic sampling technique was used to select each study participant.

Source and study population

All children attending primary and secondary school in Bahir Dar city were the source population and those students attending the selected schools were the study population.

Inclusion and exclusion criteria

All Students aged 6–18 years old and attending school in Bahir Dar city were included in the study while those students with a history of recent ocular trauma and surgery were excluded from the study.

Data collection tool and procedure

An interviewer-administered structured questionnaire was developed from different pieces of literature to assess the prevalence and risk factors of myopia. The questionnaires were completed by the parents or legal guardians of the children. We collected detailed information regarding socioeconomic status, parental education, parental history of myopia, working distance at near, distance from TV screen, time spent on using mobile, and outdoor activities. The questionnaire was pre-tested to check consistency in 5% of the participants in Gondar city and modification was considered according to its findings. The participants were recruited from Bahir Dar city schools and the examination of each child was conducted on their own respective school. Both interobserver and intraobserver agreement were determined between optometrists with respect to visual acuity measurement and refraction. Snellen acuity chart, Trial frame, Trial case, Pin-hole, Meter to measure the working distance, Retinoscopy, Direct Ophthalmoscope, and Torch were used for physical examination.

A data collection procedure involving two modes (administration of questionnaire and physical examination including refraction) was carried out. The data were collected by 3 senior optometrists and 2 ophthalmic nurses. The ophthalmic nurses interview the parents regarding socio-demographic data and they assess the visual acuity, finally, refraction and ophthalmoscopy were performed by the optometrists. Data collectors first introduce themselves and the purpose of the study. After they get consent from the subjects they proceeded for the vision examination and refraction. Visual acuity assessment was measured using a snellen chart. Visual acuity (VA) of every student was taken, and if the VA is less than 6/9 pinhole was used to identify whether the reduction of vision is due to refractive error or other ocular pathology. Those individuals with VA of less than 6/6 were refracted with dry retinoscopy and cycloplegic refraction. Cycloplegic refraction was performed for each student with 1% cyclopentolate eye drop, Two drops of cyclopentolate 1% were administered at least 30 min before refractive error measurement. Cycloplegia was considered complete if pupil dilated to 6 mm or more and there was no pupillary reflex. Retinoscopy was done using a streak retinoscope and subjective refraction was carried out to determine the final prescription of the students.

The information regarding the nature, effects, management, and prevention of myopia was given for all study subjects. Those who needed further examination were referred to Felege Hiwot Specialized Hospital secondary eye care center to get appropriate examination and management.

Data quality control

The English version of questionnaire was translated to a similar form of Amharic version and back to English to increase the accuracy and consistency level of the questionnaire. To ensure the quality of data, a pretest was carried out on 5% of the sample size in Gondar city. Training had been given to data collectors and the supervisor for two days before data collection and the collected data were checked for completeness, accuracy, and clarity by the principal investigator daily during the data collection period. Then, the necessary correction has been given to the data collectors accordingly to the aim of the study.

Data processing & analysis

The raw data were entered into EPI Info version 7. After data were coded and cleaned, it was exported to and analyzed by using SPSS version 22. Descriptive and summary statistics were performed to describe the study population by frequency, proportion, and summary statistics such as mean, standard deviation, and ranges. It was presented using tables. Both bi-variable and multivariable logistic regression analysis was done and variables with p-value < 0.2 under bi-variable logistic regression considered for multivariable logistic regression. In the multivariable logistic regression analysis, variables with a p-value of less than 0.05 were declared as statistically significant. Odds ratio with 95% confidence interval and the corresponding p-value was used to identify risk factors for the development of myopia.

Operational definitions

Myopia

Defined as spherical equivalent refractive error (SER = sphere + 1/2 cylinder) of −0.50 D or more in at least one eye [2, 15, 20]. The degree of myopia < −3.00 D is categorized as low, −3.00 D to −6.00 D is labeled as moderate myopia, and if it is > −6.00 D it is categorized as high myopia.

Familial myopia

The presence of any degree of myopia in first-degree relatives diagnosed by eye care professionals.

Outdoor activity

Considered as yes if the child spent > 2 hour per day outdoor activities including playing game and sports.

Working distance

The regular distance at which a person adapts to do near tasks. The average working distance for a normal individual is 33 cm.

Ethical clearance

Ethical clearance was obtained from the University of Gondar College of Medicine and Health Sciences and comprehensive specialized hospital, School of Medicine Ethical Review Committee in accordance with the declaration of Helsinki. Each participating school was visited a week before the data collection day, and permission to conduct the study was also obtained from the schools. A written informed consent form was given to each of the students aged 6–18 years to be taken to their parents or guardians the day before data collection. Students were only recruited if their parents or guardians gave assent and signed the consent forms, and were willing for the students to take part in the study. Verbal assent was also taken from the participants between the age ranges of 14 to 18 years old. Participants who were found to have myopia and any other ocular disorders were referred to Felege Hiwot Specialized Hospital secondary eye care center and underwent a full ocular examination. Participants with significant myopia were given their prescription to treat their optical disorders. Participant’s information was obtained with no identifier and confidentiality was maintained.

Result

Socio-demographic characteristics of the study participants

A total of 601 study participants were included in the study with a response rate of 94.8%. Thirty hundred thirteen (52.1%) of the study participants were male and half of them 301 (50.1%) were in the age category of 14–18 years. About 344 (57.2%) participants attend government school and 460 (76.5%) of the study participants were from primary school. Most of the study participants were Orthodox Christian, 510 (84.9%). One-third of the study participants’ parental educational status was found to be a primary school, 174 (29.0%), and half of the study participants 283 (47.1%) had a family monthly income of 2001–5000 ETB. Eighty-nine (14.8%) of the study participants had a familial history of myopia. More than half of the study participants 319 (53.1%) had mobile exposure of < 2 hour per day. Half of the study participants 299 (49.8%) had a near working distance of 33–60 cm and around 371 (61.7%) study participants had outdoor activity (Table 1).

Table 1. Socio-demographic characteristics of the study participants among school children of Bahir Dar city, Northwest Ethiopia, 2019 (n = 601).

Variable Frequency Percentage
Age Category
 6–9 years 250 41.6%
 10–13 years 50 8.3%
 14–18 years 301 50.1%
Sex
 Male 313 52.1%
 Female 288 47.9%
School type
 Government 344 57.2%
 Private 257 42.8%
Religion
 Orthodox 510 84.9%
 Muslim 67 11.1%
 Protestant 24 4.0%
Ethnicity
 Amhara 564 93.8%
 Agew 16 2.7%
 Tigrie 15 2.5%
 Oromo 6 1.0%
Educational level of students
 Primary school 460 76.5%
 Secondary school 141 23.5%
Parents educational level
 Unable to read and write 21 3.5%
 Able to read and write 104 17.3%
 Primary school 174 29.0%
 Secondary school 158 26.3%
 College and above 144 24.0%
Family monthly income
 < 2000 ETB 140 23.3%
 2001–5000 ETB 283 47.1%
 5001–10000 ETB 129 21.5%
 > 10000 ETB 49 8.1%
Familial myopia
 Yes 89 14.8%
 No 512 85.2%
Distance to television screen
 <2 meter 227 37.8%
 2–4 meter 219 36.2%
 >4 meter 156 26.0
Mobile exposure hours per day
 <2hrs/day 319 53.1%
 2-4hrs/day 204 33.9%
 >4hrs/day 78 13.0%
Working distance at near
 <33 cm 123 20.4%
 33–60 cm 299 49.8%
 >60 cm 179 29.8%
Outdoor activities
 No 230 38.3%
 Yes 371 61.7%
Active rest during studying
 No 237 39.4%
 Yes 364 60.6%

ETB = Ethiopian Birr, n = sample size.

Proportion of myopia

Of the 601 students who participated in study 51 (8.49%) (95% CI: 6.20%, 10.80%) were myopic and among them, 31 (60.78%) had a moderate degree of myopia (Table 2).

Table 2. Proportion and degree of myopia among school children of Bahir Dar city, Northwest Ethiopia, 2019 (n = 601).

Variable Frequency Percentage
Myopia
 Yes 51 8.49%
 No 550 91.5%
Degree of myopia (n = 51)
 Low 6 11.76%
 Moderate 31 60.78%
 High 14 27.46%

Factors associated with myopia

The odds of being myopic among study participants within the age category of 10–13 years were 6.54 times more as compared to those within 6–9 years (adjusted odds ratio (AOR) = 6.54 (95% CI: 5.56, 10.69)). Whereas those participants within the age group of 14–18 years were 6.32 times more as compared to those within 6–9 years (adjusted odds ratio (AOR) = 6.32 (95% CI: 5.32, 9.69)).

The study participants who had 2–4 hours per day mobile exposure were 3.69 times more to develop myopia as compared to those who had < 2 hours per day exposure (AOR = 3.69 (95% CI: 1.63, 8.83)) whereas those who had > 4 hours per day mobile exposure were 11.6 times more to develop myopia as compared to those who had < 2 hours per day exposure (AOR = 11.6 (95% CI: 4.41, 30.42)). Similarly, the odds of being myopic among study participants who had a working distance of < 33 centimeters were 6.89 times more as compared to those participants who had a working distance of > 60 centimeters (AOR = 6.89 (95% CI: 2.71, 17.56)). The odds of being myopic among study participants who did not spend time for outdoor activities were 3.94 times more as compared to those who spent time in outdoor activities (AOR = 3.94 (95% CI: 1.87, 8.31)) (Table 3).

Table 3. Factors associated with myopia among school children, Bahir Dar city, Northwest Ethiopia, 2019 (n = 601).

Variables Myopia Crude odds ratio (95% CI) Adjusted odds ratio (95% CI)
Yes No
Sex
 Male 26 287 1.00
 Female 25 263 1.05(0.59–1.86)
School type
 Government 20 324 1.00 1.00
 Private 31 226 2.22(1.23–3.99) 1.18(0.57–2.41)
Age group(years)
 6–9 5 245 1.00 1.00
 10–13 7 43 7.97(6.54–11.8) 6.54(5.56–10.86)*
 14–18 39 262 7.29(5.93–11.5) 6.32(5.32–9.69)**
Family monthly income
 < 2000 ETB 10 130 1.00
 2001–5000 ETB 22 261 1.09(0.50–2.38)
 5001–10000 ETB 14 114 1.71(0.74–3.96)
 > 10000 ETB 4 45 1.15(0.34–3.87)
Family history of myopia
 Yes 7 82 1.00
 No 44 468 1.10(0.48–2.53)
Distance to television screen
 <2 meter 27 200 1.00 1.00
 2–4 meter 17 201 0.63(0.33–1.18) 0.83(0.39–1.78)
 >4 meter 7 149 0.35(0.15–0.82) 0.76(0.29–1.98)
Mobile exposure hours per day
 <2hrs/day 11 308 1.00 1.00
 2-4hrs/day 23 181 3.56(1.69–7.47) 3.69(1.63–8.38)**
 >4hrs/day 17 61 7.80(3.48–17.5) 11.6(4.41–30.42)***
Working distance at near
 <33 cm 29 94 5.65(2.65–12.8) 6.89(2.71–17.56)***
 33–60 cm 13 286 0.86(0.36–2.05) 0.81(0.31–2.15)
 >60 cm 9 170 1.00 1.00
Outdoor activities
 No 31 199 2.73(1.52–4.92) 3.94(1.87–8.31)***
 Yes 20 351 1.00 1.00
Active rest during studying
 No 33 204 3.11(1.71–5.66) 1.21(0.22–6.81)
 Yes 18 346 1.00 1.00

*p<0.05,

**p<0.01,

***p<0.001 cm = Centimeter, ETB = Ethiopian Birr, hrs/day = hours per day.

Discussion

This study evaluated the prevalence of myopia and the associated risk factors among school children in Bahir Dar city, Northwest Ethiopia. The prevalence of myopia in this study was 8.49% (95% CI: 6.20%-10.80%). This finding is consistent with a study conducted in Welkite town, southwestern Ethiopia which was reported as 6.5% [20]. This might be due to the similarity in socioeconomic status and genetic factors among study participants. However, the prevalence of myopia in this study is higher as compared to studies done in Malaysia [21], Iran [22], Tanzania [13], and Debere Markose Ethiopia [23] which was reported as 5.4%, 4.35%, 5.6%, and 5.47% respectively. The differences could be attributed to the differentials in socioeconomic conditions, variations in the operational definitions, cut-off points of refractive errors, and factors related to environmental influences. Some studies from the above define myopia without spherical equivalent and also they used a cut-off point of > -1.00 Diopter whereas the present studies used a cut-off point of > -0.50 Diopter.

On the contrary, the result of this study is slightly lower as compared to studies done in Gondar, Ethiopia (11.9%) [2] and much lower than the studies conducted in America (41.5%) [7], Israeli (28.3%) [24], Taiwan (21%) [4], Beijing China (80.7%) [3], Hong Kong China (36.7%) [8], Delhi India (13.1%) [25], North India (21%) [14], Qingdao (22.6%) [26], Amman Jordan (17.6%) [27], and Saudi Arabia (17.2%) [28]. This difference might be because of the variation in race between the study participants and of Asian descent. Most Asian nations were more myopic as a result of a complex genetic trait and environmental factors responsible for myopia; and also in developed nations, students were subjected to excessive near tasks [2].

The odds of being myopic among study participants within the age category of 10–13 years and 14–18 years were 6.54 and 6.32 times more as compared to those within 6–9 years respectively. This result is supported by many studies conducted in America [7], Taiwan [4], China [8], India [14], Korea [29], Malaysia [21], Amman [27], Tanzania [13], and Debark and Kolla Diba, Ethiopia [30].

The study participants who had 2–4 and >4 hours per day mobile exposure were 3.69, 11.6 times more to develop myopia as compared to those who had < 2 hours per day exposure respectively. This finding is consistent with studies done in India [14, 25], Saudi Arabia [28], and Debere Markose, Ethiopia [23].

The odds of being myopic among study participants who had a working distance of < 33 cm were 6.89 times more as compared to those who had a working distance of > 60 cm. This result is supported by studies conducted in Singapore military conscripts [1], Sydney [11], China [3], and Gondar, Ethiopia [2]. This might be due to persistent short working distance leads to peripheral blur and inherent ciliary spasm that could cause myopia. However, the cross-sectional nature of the present study and the previous studies remained inconclusive whether a short reading distance was the cause or the consequence of myopia.

Similarly, the odds of being myopic among study participants who did not spend more time on outdoor activities were 3.94 times more as compared to those who spent > 2 hour per day in outdoor activities. It is in agreement with studies conducted in Sydney [11], India [25], Qingdao [26], Amman [27], and Gondar, Ethiopia [2]. The possible explanations might be that high ambient lighting could regulate the release of dopamine from the retina and stimulate the synthesis of vitamin D in the body [31, 32].

Positive parental history of myopia was a risk factor for the development of myopia in previous studies done in India [25], Saudi Arabia [28], Tanzania [13], and Gondar, Ethiopia [2]. But in this study family history was not significantly associated with myopia. This difference might be due to the variation in detecting myopia from the family. At present, there is no unified evidence about the prevalence of myopia among males or females. The current results revealed that females were not more likely to suffer from myopia than males. This is consistent with many previous studies done in different countries [2, 8, 25, 26, 30].

The strength of the present study was the way where refractometry was carried out. It was performed with cycloplegic refraction by applying cyclopentolate 1% eye drop for each study participant, which finally yields an accurate objective result. The limitation was since it was only a cross-sectional study; thus, we could not draw any conclusion about the risk factors of myopia.

Conclusion

The prevalence of myopia was high among school children in Bahir Dar city. Older age, longer duration of mobile exposure and shorter near working distance were the risk factors for the development of myopia whereas having outdoor activity was identified as the protective factor of myopia. This study indicates the need for a regular visual screening program for school children. School screening program can help in early detection and management of myopia and prevents its associated complications. It is recommended those stakeholders or policy makers’ plan or design ways for direct school screening program.

Supporting information

S1 Data

(SAV)

S1 Annex. English version of data extracting format.

(DOCX)

Acknowledgments

We would like to thank Bahir Dar city education office, Felege Hiwot Specialized Hospital, and all study participants for their cooperation and willingness to participate in this study.

Abbreviations

AOR

Adjusted Odds Ratio

CI

Confidence Interval

COR

Crude Odds Ratio

EPI INFO

Epidemiological Information

ETB

Ethiopian Birr

SPSS

Statistical Package for Social Sciences

VA

Visual Acuity

WHO

World Health Organization

Data Availability

All relevant data are within the paper and its Supporting information files.

Funding Statement

The author(s) received no specific funding for this work.

References

  • 1.Saw S, Wu H, Seet B, Wong T, Yap E, Chia K, et al. Academic achievement, close up work parameters, and myopia in Singapore military conscripts. Br J Ophthalmol. 2001;855–60. 10.1136/bjo.85.7.855 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Belete Gizachew Tilahun, Anbesse Dereje Hayilu, Tsegaye Adino Tesfahun, Hussen Mohammed Seid. Prevalence and associated factors of myopia among high school students in Gondar town, northwest Ethiopia, 2016. Clin Optom. 2017;11–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Wu LJ, You QS, Duan JL, Luo YX, Liu LJ, Li X. Prevalence and Associated Factors of Myopia in High-School Students in Beijing. PLoS One. 2015;1–12. 10.1371/journal.pone.0120764 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Lin LLK, Shih YF, Hsiao CK, Chen CJ. Prevalence of Myopia in Taiwanese Schoolchildren: 1983 to 2000. Ann Med Singapore. 2004;33(1):27–33. [PubMed] [Google Scholar]
  • 5.Saw S, Gazzard G, Shih-yen EC, Chua W. Myopia and associated pathological complications. Ophthal Physiol Opt. 2005;381–91. 10.1111/j.1475-1313.2005.00298.x [DOI] [PubMed] [Google Scholar]
  • 6.Pan C, Ramamurthy D, Saw S. Worldwide prevalence and risk factors for myopia. Ophthalmic Physiol Opt. 2012;3–16. 10.1111/j.1475-1313.2011.00884.x [DOI] [PubMed] [Google Scholar]
  • 7.Modjtahedi BS, Batech M, Marlin DS, Luong TQ. Myopia prevalence and risk factors in children. Clin Ophthalmol. 2018;1581–7. 10.2147/OPTH.S164641 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Fan DSP, Lam DSC, Lam RF, Lau JTF, Chong KS, Cheung EYY, et al. Prevalence, Incidence, and Progression of Myopia of School Children in Hong Kong. Investig Ophthalmol Vis Sci. 2004;45(4):1071–5. [DOI] [PubMed] [Google Scholar]
  • 9.Lin LL, Shih Y, Hsiao CK, Chen C, Lee L. Epidemiologic study of the prevalence and severity of myopia among schoolchildren in taiwan in 2000 results. J Formos Med Assoc. 2001;100(10):684–91. [PubMed] [Google Scholar]
  • 10.Rudnicka AR, Kapetanakis VV, Wathern AK, et al. Global variations and time trends in the prevalence of childhood myopia, a systematic review and quantitative meta-analysis: implications for aetiology and early prevention. Br J Ophthalmol. 2016;100:882–890. 10.1136/bjophthalmol-2015-307724 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Rose KA, Morgan IG, Ip J, Kifley A, Huynh S, Clinepi M, et al. Outdoor Activity Reduces the Prevalence of Myopia in Children. Am Acad Ophthalmol. 2008;1279–85. 10.1016/j.ophtha.2007.12.019 [DOI] [PubMed] [Google Scholar]
  • 12.Pan C, Wu R, Li J, Zhong H. Low prevalence of myopia among school children in rural China. BMC Ophthalmol. 2018;1–6. 10.1186/s12886-017-0645-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Turner E. Myopia in secondary school students in Mwanza City, Tanzania: the need for a national screening programme. Br J Ophthalmol. 2002;1200–6. 10.1136/bjo.86.11.1200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Singh NK, James RM, Yadav A, Kumar R. Prevalence of Myopia and Associated Risk Factors in Schoolchildren in North India. Optom Vis Sci. 2019;96(3):200–5. 10.1097/OPX.0000000000001344 [DOI] [PubMed] [Google Scholar]
  • 15.Vu HTV, Keeffe JE, McCarty CA, Taylor HR. Impact of unilateral and bilateral vision loss on quality of life. Br J Ophthalmol. 2005;89(3):360–3. 10.1136/bjo.2004.047498 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.World Health Organization. Universal eye health—A global action plan 2014–2019. WHO Libr Cat Data. 2013;96(5):22. Available from: https://www.who.int/blindness/AP2014_19_English.pdf?ua=1 [Google Scholar]
  • 17.Dandona R, Dandona L. Refractive error blindness. Bull World Health Organ. 2001;79(00):237–43. Available from: https://www.scielosp.org/scielo.php?pid=S0042-96862001000300013&script=sci_arttext&tlng=es%0Ahttps://www.who.int/bulletin/archives/79(3)237.pdf [PMC free article] [PubMed] [Google Scholar]
  • 18.Woldeyes A, Misganaw C. prevalence and factors associated with refractive error among primary school children in addis ababa, Ethiopia. Int J Med Heal Sci Res. 2014;1(9):92–104. [Google Scholar]
  • 19.Samir KC, Skirbekk SK. Projection of populations by level of educational attainment, age, and sex for 120 countries for 2005–2050. Demogr Res. 2010;22(15). [Google Scholar]
  • 20.Gessesse SA, Teshome AW. Prevalence of myopia among secondary school students in Welkite town: South- Western Ethiopia. BMC Ophthalmol. 2020;2:2–7. 10.1186/s12886-020-01457-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Bharu K, Hashim S, Med M, Tan H, Wh W, Med M, et al. Prevalence of Refractive Error in Malay Primary School Children in Suburban Area of Kota Bharu, Kelantan, Malaysia. Ann Acad Med Singapore. 2008;(June 2014):1–8. [PubMed] [Google Scholar]
  • 22.Yekta A, Fotouhi A, Hashemi H, Dehghani C, Ostadimoghaddam H, Heravian J, et al. Prevalence of refractive errors among school children in Shiraz, Iran. Clin Exp Ophthalmol. 2010;(November 2009):242–8. [DOI] [PubMed] [Google Scholar]
  • 23.Sewunet SA, Aredo KK, Gedefew M. Uncorrected refractive error and associated factors among primary school children in Debre Markose district, Northwest Ethiopia. BMC Ophthalmol. 2014;1–6. 10.1186/1471-2415-14-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Dayan YB, Levin A, Morad Y, Grotto I, Ben-david R, Goldberg A, et al. The Changing Prevalence of Myopia in Young Adults: A 13-Year Series of Population-Based Prevalence Surveys. Invest Ophthalmol Vis Sci. 2005;46(8):2760–5. 10.1167/iovs.04-0260 [DOI] [PubMed] [Google Scholar]
  • 25.Saxena R, Vashist P, Tandon R, Pandey RM, Bhardawaj A. Prevalence of Myopia and Its Risk Factors in Urban School Children in Delhi: The North India Myopia Study (NIM Study). PLoS One. 2015;1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Sun JT, An M, Yan XB, Li GH, Wang DB. Prevalence and Related Factors for Myopia in School-Aged Children in Qingdao. J Ophthalmol. 2018;2018. 10.1155/2018/9781987 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Khader YS, Batayha WQ. Prevalence and risk indicators of myopia among schoolchildren in Amman, Jordan. East Mediterr Heal J. 2006;12:434–9. [PubMed] [Google Scholar]
  • 28.Al Bahhawi T, Makeen AM, Daghreeri HH, Tobaigy MF, Adawi AM, Guhal FM, et al. Refractive Error among Male Primary School Students in Jazan, Saudi Arabia. Open Ophthalmol J. 2018;264–72. 10.2174/1874364101812010264 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Lim H.T, Yoon J.S, Hwang SS, et al. Prevalence and associated sociodemographic factors of myopia in Korean children: the 2005 third Korea National Health and Nutrition Examination Survey (KNHANES III). Jpn J Ophthalmol. 2012;56(1):76–81 10.1007/s10384-011-0090-7 [DOI] [PubMed] [Google Scholar]
  • 30.Tibebu K, Getu DA. prevalance of refractive error in preschool and school childern of Debark and Kola Diba towns, Northwest Ethiopia. Ethiopian Journal of Health Development. 2000. p. 117–24. [Google Scholar]
  • 31.Tideman JWL, Polling JR, Voortman T, Jaddoe VWV, Uitterlinden AG, Hofman A, et al. Low serum vitamin D is associated with axial length and risk of myopia in young children. Eur J Epidemiol. 2016;31(5):491–9. 10.1007/s10654-016-0128-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Feldkaemper M, Schaeffel F. An updated view on the role of dopamine in myopia. Exp Eye Res. 2013;114:106–19. Available from: 10.1016/j.exer.2013.02.007 [DOI] [PubMed] [Google Scholar]

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