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  • Research article
  • Open Access
  • Open Peer Review

Prevalence of refractive errors in Tibetan adolescents

  • 1,
  • 2,
  • 3,
  • 1,
  • 1,
  • 1,
  • 1,
  • 1,
  • 1,
  • 1,
  • 1,
  • 2Email author and
  • 2Email author
BMC Ophthalmology201818:118

https://doi.org/10.1186/s12886-018-0780-8

  • Received: 4 December 2017
  • Accepted: 27 April 2018
  • Published:
Open Peer Review reports

Abstract

Background

The prevalence of adolescent eye disease in remote areas of the Qinghai-Tibet Plateau has rarely been reported. To understand the prevalence of common eye diseases in Tibet, we performed ocular-disease screening on students from primary and secondary schools in Tibet, and compared the prevalence to that in the Central China Plain (referred to here as the “plains area”).

Methods

The refractive status of students was evaluated with a Spot™ vision screener. The test was conducted three or fewer times for both eyes of each student and results with best correction were recorded.

Results

A total of 3246 students from primary and secondary schools in the Tibet Naidong district were screened, yielding a refractive error rate of 28.51%, which was significantly lower than that of the plains group (28.51% vs. 56.92%, p < 0.001). In both groups, the prevalence of refractive errors among females was higher than that among males.

Conclusions

We found that Tibetan adolescents had a lower prevalence of refractive errors than did adolescents in the plains area, which may be related to less intensive schooling and greater exposure to sunlight.

Keywords

  • Refractive errors
  • Tibet
  • Abnormal rate
  • Myopia

Background

In recent years, with the increasing educational pressure on adolescents, the incidence of eye disorders such as myopia, hyperopia and astigmatism is increasing. These common conditions can cause many inconveniences for people. Visual impairment at birth or during childhood can affect learning, communication, employment, health and quality of life, and the effects are often life-long [1]. According to a survey by Pi et al. [2], 20% of individuals with visual impairment, worldwide, are children. With the increasing prevalence of visual impairment among young people, more attention is being paid to it. In fact, it is a priority of the World Health Organization’s VISION 2020 program to control visual impairment and blindness in children [3].

Tibet is located in the southwest of China’s Qinghai-Tibet plateau. It is characterized by its high elevation (an average of > 3500 m), low air pressure and large climatic differences. There are great differences between Tibet and China’s inland cities in regional environment and eating habits. It is known that living at altitudes above 3000 m has effects on the human body [4, 5]. Accordingly, congenital heart disease, high blood pressure and other diseases in Tibet have high incidence and regional characteristics.

In the Tibetan plateau region, the incidence of eye diseases in adolescents also showed certain geographical characteristics. We found that in China, people in the plains pay more attention to the development of visual impairment than do people in Tibet and other plateau areas. Therefore, we conducted a screening study to understand the ocular health status of school-age children living on the Tibetan plateau.

Methods

Participants

A total of 3248 students in Tibet were enrolled in the screening. The students were from 7 primary schools and 1 secondary school in Naidong district, which averages about 3500 m above sea level. The participants in the Tibetan region are referred to as the “plateau group”.

We have included ocular screening data from 11,102 students from Tianjin Dagang as a control (“plains”) group. The average elevation of the Tianjin Dagang area is 6 m.

Detection of ocular abnormalities

The refractive status of all students was evaluated with the Spot™ vision screener(Welch Allyn, Skaneateles Falls, NY). The screener is held approximately 1 m from the subject while they observe the display of twinkling lights and sounds. The screen reports when the subject is too far away, or too close, and shows a spinning circle and the child’s face when data acquisition is occurring. Data acquisition is usually complete within approximately 2 s. On each test, the screener measures the student’s pupil diameter, ocular alignment, binocular refraction and astigmatism axis, and stores the data. The test was conducted less than 3 times for both eyes of each student and results with best correction were recorded. The final result was determined by the instrument. The vision screener can accurately detect myopia without mydriation, so the children were not cyclopleged. Our diagnostic criteria for various eye disorders are listed in Table 1.
Table 1

Diagnostic criteria for various eye disorders

Age (months)

6–12

12–36

36–72

72–240

240–1200

Anisocoria

1

1

1

1

1

Anisometropia

1.5

1

1

1

1

Astigmatism

2.25

2

1.75

1.5

1.5

Hyperopia

3.5

3

2.5

2.5

1.5

Myopia

2

2

1.25

1

0.75

Vertical gaze

8

8

8

8

8

Nasal gaze

5

5

5

5

5

Radiant gaze

8

8

8

8

8

Gaze asymmetry

8

8

8

8

8

Statistical analysis

The crude rates of myopia, hypermetropia and anisometropia were determined using direct standardization (both age and sex). Means ± standard deviation (SD), frequencies, and percentages were used to summarize the characteristics of the research subjects. The rate of each type of abnormality was compared between the two groups, using chi-square tests. The Cochran–Armitage test for trend was used to determine whether there was an association between participant age and the prevalence of disorders. All statistical analyses were performed using IBM SPSS Statistics software (version 22.0). P-values less than 0.05 were considered statistically significant.

Results

We conducted eye examinations on 3248 students from primary and secondary schools in Tibet (the “plateau group”). Excluding the 19 students for whom data were missing, the plateau group had 2129 males and 1982 females. There was no significant difference in the distribution of sexes between the plateau and plains group. The mean age (± SD) in the plateau group was 12.69 (±2.88) years, which is higher than that of the plains group (see Table 2).
Table 2

Participant demographics

 

Plateau group

Plains group

Total

3248

11,102

Gender

 Female

1558

5274

 Male

1671

5740

Age (average ± SD, year)

12.69 (±2.88)

11.94 (±3.13)

Eye examination

 Normal

2322

4782

 Abnormal

926

6320

The screening results were abnormal for 926 students in the plateau group (28.51% of the total). Compared with the anomaly rate of 56.93% in the plains group, the anomaly rate of the plateau group was significantly lower. Analysis of the two groups by sex showed that the anomaly rate for males in the plateau group was significantly lower than that in the plains group; the same was true for females. Finally, both groups had higher rates of anomalies among females than males.

Due to the limitations of environment and equipment, our investigation mainly focused on 6 common ophthalmic disorders: anisocoria, anisometropia, astigmatism, gaze, hyperopia and myopia. In the plateau group, there were 26 students with anisocoria (0.80%), 127 with anisometropia (3.91%), 138 with astigmatism (4.25%), 62 with gaze (1.91%), 23 with hyperopia (0.71%) and 774 with myopia (23.83%). The prevalences of anisometropia, astigmatism, gaze and myopia were significantly lower in the plateau group than in the plains group, whereas the prevalence of anisocoria in the plateau group was higher than that in the plains group. However, there was no significant difference between the two groups in the prevalence of hyperopia (Table 3).
Table 3

Ocular abnormalities in the two groups

Type of disorder

Plateau group (n,%)

Plains group (n,%)

Χ2

p value

Anisocoria

26(0.80)

25(0.23)

23.485

p < 0.001

Anisometropia

127(3.91)

1652(14.88)

278.448

p < 0.001

Astigmatism

138(4.25)

1290(11.62)

152.348

p < 0.001

Gaze

62(1.91)

791(7.12)

122.280

p < 0.001

Hyperopia

23(0.71)

104(0.94)

1.498

P = 0.221

Myopia

774(23.83)

5487(49.42)

669.251

p < 0.001

Discussion

It is known that living at altitudes above 3000 m has biological effects on humans [4, 5]. The unique plateau environment comprises low air pressure, reduced oxygen, dryness, cold weather, sunshine and exposure time, intense solar infrared light, intense ultra-violet radiation, and long winters, which all have effects on the human body, in general, and on the eyes in particular [6, 7]. Because Tibet is located on the high-altitude Qinghai-Tibet plateau, the environment could be expected to affect the ocular health of people living there, but not much is known about the rates of eye diseases in the plateau region. We therefore conducted this study and used the data from the plains group to study the characteristics of common refractive errors in Tibet by comparing results between the two groups.

We found that myopia was the most prevalent abnormality in the plateau group, as well as in the plains group. In recent years, the incidence of myopia has gradually increased, attracting more attention from researchers and the public. Myopia has a serious impact on society, including on education and the economy, and it also can cause great inconvenience for patients [8]. Previous studies have shown that the prevalence of myopia in various regions of the world varies widely. In Western populations, myopia (nearsightedness) is found in one out of every three individuals [911]; in contrast, in selected regions of Asia, its prevalence is as high as 80% [12, 13]. High school is the high time of myopia. During this period, students can have a great deal of schoolwork to do, and previous researchers have shown that the intensity of studying closely relates to the incidence of myopia, so that could account for the high incidence of myopia in adolescents. Studies have also shown that, within a certain range, the longer the exposure to outdoor sunlight, the lower the incidence of myopia [14]. In the plateau region,, there are more hours of sunlight, and, because of the lower pressure on students, time for outdoor activities can be greater. Therefore, the students in the plateau group may be exposed to longer periods of sunshine, which could explain their lower prevalence of myopia.

Despite the high altitude of the plateau region, in the present study, the prevalence of eye disorders in Tibet was significantly lower than that in Tianjin Dagang. We hypothesize that this may be because the Tibetan children have less homework and lower scholastic pressure. The level of education in Tibet is lagging behind that in Tianjin, and students would have fewer hours in school and more time outdoors. Previous studies have shown that advising children to go outdoors at rest (for about 80 min a day) can decrease their myopia by half in 1 year [15]. Although there is no proven connection between refractive errors and educational methods or the environment, a relaxed lifestyle is likely beneficial to ocular health. In both the plateau and plains groups, the prevalence of refractive errors was higher for females than males, which may be due to girls performing fewer outdoor activities than boys do.

There are some limitations to our study. Due to logistical constraints, we could only test for common refractive errors and did not obtain information on other eye disorders or diseases. In additional, when screening for myopia, we did not have specialized inspection shadow diopter examination or clinical diagnoses. Thus we may be overestimating the prevalence of myopia, so that the rate reported here should be referred to as a “suspected myopia” rate. Finally, we did not record the children’s family relationships, so we do not know if there were cases of multiple children from the same family. Children in the same family share many lifestyle factors, which could have biased the results of the present study [2].

Conclusion

In this high-altitude region in Tibet, the prevalence of refractive errors in adolescents was significantly lower than that in adolescents living in the plains region, which may be related to easier schooling and more exposure to sunlight.

Declarations

Acknowledgements

We thank all of the students for participating in the study.

Funding

This project was supported by the National Key Research and Development Program of China (No. 2016YFC1000307-6), the Natural Science Foundation of Tibet Autonomous Region (Medical support), National Science and Technology Basic Work(2014FY130100) and the National Infrastructure of Chinese Genetic Resources (YCZYPT[2017]01).

Availability of data and materials

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

Authors’ contributions

XHQ performed the data analysis and participated in article writing. BL was responsible for the data collection and drafting the manuscript. JW, NW and XLQ revised the manuscript and gave final approval. XL, JL and YZ also collected data. NH, YN and GD processed the data. XM participated in both designing the experiment and analyzing the data. BW guided the experimental design and conducted the study. All authors have read and approved the manuscript.

Ethics approval and consent to participate

The study protocol was performed in accordance with the tenets of the Declaration of Helsinki and was approved by the Tianjin Medical University Eye Hospital’s ethics committee. We obtained informed consent from all participants, including the guardians of children less than 16 years of age.

Competing interests

The authors declare that they have no competing interests.

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Strabismus and Pediatric Ophthalmology, Tianjin Medical University Eye Hospital, Tianjin, China
(2)
Department of Genetics, Center for Genetics, National Research Institute for Family Planning, 12 Dahuisi Road, Haidian, Beijing, 100081, China
(3)
Department of Medical Genetics and Developmental Biology, School of Basic Medical Sciences, Capital Medical University, Beijing, China

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Copyright

© The Author(s). 2018

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