Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Population prevalence of myopia, glasses wear and free glasses acceptance among minority versus Han schoolchildren in China

  • Min Hu,

    Roles Investigation, Writing – review & editing

    Affiliation The Second People’s Hospital of Yunnan, Kunming, China

  • Yuan Zhou ,

    Roles Investigation

    hhykzhouyuan@sina.com

    Affiliation The Second People’s Hospital of Yunnan, Kunming, China

  • Shanshan Huang,

    Roles Writing – original draft

    Affiliation Centre for Public Health, Queen’s University Belfast, Belfast, Ireland, United Kingdom

  • Nathan Congdon,

    Roles Conceptualization, Funding acquisition, Validation, Visualization, Writing – original draft

    Affiliations Centre for Public Health, Queen’s University Belfast, Belfast, Ireland, United Kingdom, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangzhou, China, Orbis International, New York City, New York, United States of America

  • Ling Jin,

    Roles Data curation, Formal analysis, Methodology

    Affiliation State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangzhou, China

  • Xiuqin Wang,

    Roles Investigation, Writing – review & editing

    Affiliations State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangzhou, China, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China

  • Ruth Hogg,

    Roles Writing – review & editing

    Affiliation Centre for Public Health, Queen’s University Belfast, Belfast, Ireland, United Kingdom

  • Hong Zhang,

    Roles Investigation

    Affiliation Honghe First People’s Hospital, Honghe, Yunnan, China

  • Yongkang Cun,

    Roles Conceptualization, Investigation, Writing – review & editing

    Affiliation Dehong People’s Hospital, Dehong, Yunnan, China

  • Luhua Yang,

    Roles Investigation

    Affiliation Jianchuan People’s Hospital, Jianchuan, Yunnan, China

  • Xianshun Li,

    Roles Investigation

    Affiliation Chuxiong People’s Hospital, Chuxiong, Yunnan, China

  • Chaoguang Liang

    Roles Investigation

    Affiliation Lancang County First People’s Hospital, Lancang, Yunnan, China

Abstract

Aim

To measure myopia, glasses wear and free glasses acceptance among minority and Han children in China.

Methods

Visual acuity testing and questionnaires assessing ethnicity, study time, and parental and teacher factors were administered to a population-based sample of 9–12 year old minority and Han children in Yunnan and Guangdong, and their teachers and parents. Refraction was performed on children with uncorrected visual acuity (VA) < = 6/12 in either eye, and acceptance of free glasses assessed.

Main outcome measures

Baseline myopia (uncorrected visual acuity < = 6/12 in > = 1 eye and spherical equivalent refractive power < = -0.5D in both eyes); baseline glasses wear; free glasses acceptance.

Results

Among 10,037 children (mean age 10.6 years, 52.3% boys), 800 (8.0%) were myopic, 4.04% among Yunnan Minority children (OR 0.47, 95%CI 0.33, 0.67, P<0.001), 6.48% in Yunnan Han (OR 0.65, 95%CI 0.45, 0.93, P = 0.019), 9.87% in Guangdong Han (Reference). Differences remained significant after adjusting for study time and parental glasses wear. Difference in baseline glasses ownership (Yunnan Minority 4.95%, Yunnan Han 6.15%, Guangdong Han 15.3%) was not significant after adjustment for VA. Yunnan minority children (71.0%) were more likely than Yunnan Han (59.6%) or Guangdong Han (36.8%) to accept free glasses. The difference was significant after adjustment only compared to Guangdong Han (OR 3.34, 95% CI 1.62, 6.90, P = 0.001).

Conclusion

Myopia is more common among Han children and in wealthier Guangdong. Baseline differences in glasses wear could be explained by student, teacher and parental factors. Yunnan Minority children were more likely to accept free glasses.

Introduction

Refractive error (RE) is a common eye disorder and the leading cause of visual impairment and blindness in children worldwide. [1] Myopia is the most common RE among school-aged children, and tends to increase with age and additional schooling. [2] China has among the highest prevalence of childhood myopia in the world. [39] Among the 13 million children with visual impairment due to uncorrected refractive error, nearly half live in China. [1]

Wearing glass is a safe and effective treatment for myopia, but evidence suggests that only 15–20% of rural and urban migrant children in China who need glasses have them. [10, 11] Most of this evidence, however, is drawn from children of Han ethnicity, a group comprising more than 90% of China’s population. Little information exists, however, about rates of myopia and spectacle wear among China’s ethnic minorities,[12] over 50 separate groups who together comprise some 100 million people. Their different cultures, lifestyle and genes could be associated with very different rates of myopia than observed among the Han.

We carried out a randomized trial on spectacle acceptance and wear among a random sample of primary school children in Guangdong and Yunnan provinces. [13] A high proportion of children in the Yunnan sample came from a variety of different minority groups. The purpose of the present study is to explore whether there are differences in the prevalence of myopia, glasses use or the acceptance of free glasses between minority and Han Chinese school children, and to better understand factors contributing to these differences.

Methods

This study was approved by the Institutional Review Boards at Stanford University (Palo Alto, USA), the Zhongshan Ophthalmic Center (Guangzhou, China) and Yunnan Red Cross Hospital (Kunming, China). Permission was received from local boards of education in each region and the principals of all schools, and written informed consent was provided by at least one parent on behalf of all children. The principles of the Declaration of Helsinki were followed throughout.

The study was conducted in Guangdong and Yunnan provinces, China. Guangdong is one of China’s richest provinces, with a per capita gross domestic product (GDP) in 2015 of US$10,838, 8th among China’s 31 administrative divisions. [14] The population is 97.1% Han. [15] Yunnan (2015 GDP of US$4658) ranks second from bottom of China’s administrative divisions in wealth, [14] and 38% of its population are minorities.[16]

The study methods are described elsewhere in detail, and are summarized here for reference. [13] From a list of all 601 primary schools (362 in Guangdong and 239 in Yunnan) in 9 randomly-selected counties in Guangdong and Yunnan, we randomly selected 138 (88 schools in Guangdong and 50 in Yunnan), with the number of schools selected in each county being determined by population size. Within each sampled school, we randomly selected one class in each of the fourth and fifth grades (likely age range 9–12 years), if there was more than one class per grade level.

Visual acuity assessment

Visual acuity screening was conducted at schools in well-lit rooms during daylight hours. Children’s visual acuity was tested in the right and then the left eye by two trained volunteer screeners using Early Treatment Diabetic Retinopathy Study[17] tumbling E charts (Precision Vision, La Salle, IL) at a distance of 4m. Acuity was measured with and without habitually-worn correction for those children owning glasses, with children having been reminded to bring their glasses in advance of the examination. If children correctly identified at least 4 or 5 optotypes on the top line (6/60), they were re-examined at 6/30, 6/15 and then line by line to 6/3. We defined visual acuity for an eye as the lowest line on which four of five optotypes were read correctly. If the top line could not be read at 4m, the participant was tested at 1m and the measured visual acuity was divided by four.

Refraction

All children with uncorrected visual acuity < = 6/12 in either eye underwent cycloplegia with up to three drops of cyclopentolate 1% in each eye after anesthesia with topical proparacaine hydrochloride 0.5%. Children then underwent automated refraction (Topcon KR 8900, Tokyo, Japan) with subjective refinement by an experienced refractionist. Children of parents refusing permission for cycloplegia (274/882 = 31.1%) underwent subjective refinement of the non-cycopleged value from the auto-refractor by an experienced refractionist in each eye using a target at four meters distance.

Questionnaires

At baseline (September 2014), enumerators administered questionnaires to children (S1 Table), including questions on race (Han versus various minority groups), age, sex, glasses wear, awareness of refractive status, belief that wearing glasses harms children’s vision, parental living condition and education, and ownership of a list of 16 selected items as an index of family wealth (the Family Affluence Scale II, previously validated among adolescents in China. [18]) At endline (June 2015), questionnaires were administered on glasses ownership, glasses wear, parental attitude toward wearing glasses and subjective evaluation of project glasses.

Provision of free glasses

As part of the parent trial, in October 2014, children were randomized by school to receive either a glasses prescription and letter to the parents informing them of the refractive status of their child; a voucher exchangeable for free glasses at the local county hospital; or vouchers for free glasses plus the offer of “upgrade glasses” (with scratch-proof lenses and popular designs). County hospitals were located at a median distance of 27 km (Guangdong: Range 3–63 km; Yunnan: Range 4–113 km) from the children’s township of residence.

Outcome assessment

Myopia was defined as having uncorrected visual acuity < = 6/12 in at least one eye and spherical equivalent refractive error < = -0.5 D in both eyes. Needing glasses was defined as having uncorrected visual acuity < = 6/12, correctable to > 6/12 in either eye, together with refractive power in both eyes in a range previously demonstrated[19] to be associated with significantly greater improvement with visual acuity when corrected (myopia < = -0.5D, hyperopia > = +2.0 D, or astigmatism > = 0.75 D). Glasses wear at baseline was defined as having glasses at school, having been told before to bring them. Acceptance of the offered free glasses (among those children randomized to receive vouchers) was based on records maintained by the county hospitals.

Statistical methods

Baseline characteristics of children by province and ethnicity were presented as mean (SD, standard deviation) for continuous data with normal distribution, and frequency (percentage) for categorical data. We calculated family wealth by summing the value, as reported in the China Rural Household Survey Yearbook (Department of Rural Surveys, National Bureau of Statistics of China, 2013), of items on the list of 16 owned by the family. [18] Refractive power was defined throughout as the spherical equivalent: the spherical power plus half the cylindrical power.

The comparison of baseline characteristics between Minority and Han children was done using linear regression for continuous variables, logistic regression for binary variables and ordinal logistic regression for ordinal categorical variables, adjusting in all cases for clustering effects within schools. Logistic regression was used to assess the impact of factors associated with myopia, baseline spectacle ownership and acceptance of free glasses. Children in the Control Group, who were not offered free glasses, were excluded from the analysis on acceptance of free spectacles. All variables significant at the p< = 0.2 level in the simple regression models were included in the multiple regression model. Clustering effect within schools was taken into account in all regression analyses. All statistical analyses were done using a commercially available software package (Stata 13.1, StataCorp, College Station TX, USA).

Results

Among 10,234 students in the selected classes that completed baseline questionnaires and vision screening, 165 (1.61%) minority children from Guangdong and 32 (0.31%) children with missing ethnicity data were excluded from analysis, leaving 10,037 children (98.1%): 6293 Guangdong Han (62.7%; mean age 10.6 years, 53.6% males), 1142 Yunnan Han (11.4%, mean age 10.5 years, 52.5% males) and 2602 Yunnan minority (25.9%, mean age 10.6 years, 49.1% males). Among these, 9087 (90.5%) passed vision screening, 950 (9.46%) failed screening and 800 (7.97%) were myopic (uncorrected visual acuity < = 6/12 in at least one eye and SE < = -0.5 D in both eyes). These included 621 Guangdong Han (77.6%), 74 Yunnan Han (9.25%) and 105 Yunnan minority (13.1%) children. The prevalence of myopia was 9.87% among Guangdong Han children, 6.48% among Yunnan Han and 4.04% among Yunnan Minority. (Table 1).

thumbnail
Table 1. Ethnic composition and characteristics of children participating in a study of spectacle use in Guangdong and Yunnan. China (N = 10,037).

https://doi.org/10.1371/journal.pone.0215660.t001

At baseline, Yunnan minority children spent less time studying (P<0.01) and had less prosperous families (P<0.001) than Yunnan Han children, but did not differ in parental out-migration for work, educational level and glasses ownership. (Table 2) Comparing Yunnan minority and Guangdong Han children, Yunnan minority children were significantly more likely to be the only child in the family (17.5 versus 10.6%, p<0.001); less likely to be male (49.1 versus 53.6%, P<0.001); and had shorter study hours (P<0.001) and less prosperous families (P<0.001). Their parents were less likely to have 12 years of education (12.8 versus 31.2%, p<0.001), wear glasses (4.04 versus 12.9%, P<0.001) and to have out-migrated for work (13.1 versus 23.0%, p<0.001). (Table 2).

thumbnail
Table 2. Comparison of baseline characteristics between minority and Han children (N = 10,037).

https://doi.org/10.1371/journal.pone.0215660.t002

Among 768 children needing glasses, 4.95% (5/101) Yunnan minority, 6.15% (4/65) Yunnan Han and 15.3% (92/602) Guangdong Han children owned them at baseline. Among children with uncorrected visual acuity in the better seeing eye < = 6/19 to > = 6/48, the rate of ownership was 21.7% (58/267) in Guangdong Han children, significantly higher than the Yunnan minority (2/41 = 4.88%, P = 0.010). (Table 3).

thumbnail
Table 3. Prevalence of glasses ownership and free glasses acceptance among minority and Han children needing glasses (myopia < = -0.5D or hyperopia > = +2.0 D or astigmatism > = 0.75 D in both eyes and uncorrected visual acuity < = 6/12, correctable to > 6/12 in either eye) (N = 768).

https://doi.org/10.1371/journal.pone.0215660.t003

Among children needing glasses, 545 (71.0%) were randomly selected by school to receive free glasses (429 Guangdong Han [78.7%], 47 Yunnan Han [8.62%] and 69 Yunnan minority [12.7%].) Among selected children, 71% (49/69) of Yunnan minority and 59.6% (28/47) of Yunnan Han children claimed their free glasses at participating hospitals, significantly greater than for Guangdong Han children (158/429 = 36.8%, p<0.001). Among children with myopia -1.5D to -2.5D, the free glasses acceptance rate among Yunnan minority children was significantly higher than for Yunnan Han (25/27 = 92.6% versus 8/18 = 44.4%, P = 0.003) and Guangdong Han children (57/150 = 38.0%, P<0.001). (Table 3).

Minority children had significantly lower risk of myopia than Han children in both univariate and multivariate models (Table 4) Besides ethnicity, other factors significantly associated with myopia in multivariate models included: male sex (OR 0.70, 95%CI 0.60, 0.81, P<0.001); at least one parent wearing glasses (OR 2.18, 95%CI 1.81, 2.63, P<0.001; studying more than one hour daily after school (OR 1.41, 95%CI 1.19, 1.66, P<0.001); family wealth in the top tercile (OR 1.46, 95%CI 1.18, 1.82, P<0.001); and both parents out-migrated for work (OR 0.88, 95%CI 0.79, 0.97, P = 0.011). (Table 4).

thumbnail
Table 4. Logistic regression model of factors potentially associated with myopia among minority and Han children adjusting for cluster effects within school (N = 10,037).

https://doi.org/10.1371/journal.pone.0215660.t004

There was no difference in baseline glasses ownership between Yunnan minority and Yunnan Han children (p = 0.719). Though unadjusted odds of spectacle ownership were significantly lower for Yunnan minority than Guangdong Han children (OR 0.29, 95%CI 0.12, 0.68, P = 0.004), this became non-significant with adjustment for other determinants of wear (Table 5). Factors significantly associated with baseline glasses ownership in multivariate models included: uncorrected VA<6/18 in both eyes (OR 7.34, 95%CI 4.19, 12.9, P<0.001); at least one parent wearing glasses (OR 1.68, 95%CI 1.04, 2.74, P = 0.036); studying 30 minutes to one hour after school each day (less than half hour as reference: OR 1.91, 95%CI 1.15, 3.17, P = 0.013); and teachers’ support for students wearing glasses in class (OR 4.20, 95%CI 1.03, 17.1, P = 0.046) and advising them to purchase glasses (OR 3.12, 95%CI, 1.04, 9.32, P = 0.042). (Table 5).

thumbnail
Table 5. Logistic regression model of factors potentially affecting baseline spectacle ownership and acceptance of free glasses among myopic minority and Han children needing glasses adjusting for cluster effects within school.

https://doi.org/10.1371/journal.pone.0215660.t005

Yunnan minority children were significantly more likely to accept free glasses when compared with Guangdong Han children in multivariate models (OR 3.34, 95%CI 1.62, 6.90, P = 0.001), but their acceptance rates did not differ significantly when compared with Yunnan Han children (P = 0.345). Students who studied more than one hour after school (OR 0.57, 95%CI 0.36, 0.89, P = 0.014) were significant less likely to accept free glasses, while those with teachers above the median age (38 years) (OR 1.67, 95%CI 1.12, 2.50, P = 0.012) and who were advised by their teachers to purchase glasses (OR 4.07, 95%CI 2.19, 7.57, P<0.001) were significantly more likely to accept them. (Table 5).

Discussion

The importance of the current study lies in the fact that very little population-based information exists about prevalence[12] and especially treatment of refractive error among ethnic minority children in China. The majority of Chinese people (92%) are from the Han group, but nearly 8% or 110 million Chinese are from 55 diverse minority ethnic groups. [20] Many minority groups live in sparsely populated, relatively impoverished areas, resulting in differences which are socioeconomic as well as cultural. [21, 22] Genetic differences between minority and Han groups have also been identified. [23, 24]

Evidence suggests that minority children and adults have worse health outcomes compared to Han, including infant mortality rates three times as high,[25] worse mental health status among ethnic minority college students,[26] lower breast cancer survival[27] and significantly higher rates of infection with human immunodeficiency virus (HIV) and Hepatitis C.[28]

In the current study, we found the prevalence of myopia among Han children to be significantly higher than for minority children. Although Han children had significantly longer study times and wealthier families compared with minority children, this could not entirely explain the differences in myopia prevalence. However, due to our lack of data on outdoor activity, we cannot rule out possibility that environment factors explain the difference in myopia prevalence between racial groups. Nonetheless, it is important for program planners to know that the myopia prevalence among minority children is only half that among the Han. This finding is consistent with a school based cross-sectional study carried out in Turpan, in which the lowest myopia prevalence was reported among the Uyghur minority (13%) and the highest among Han (27%), with the Hui minority intermediate (18%).12 A similar results was found in a Yunnan study by Yang et al, where the prevalence of myopia was 71.7% among Han and 35.7% for minority children.[29]

The main significance of our findings with regard to spectacle use was the very low rates, less than one in six, among all ethnic and geographic groups. A potential reason for glasses non-wear among myopic children in the current study may be associated with the widespread misunderstanding in China that young children wearing glasses might damage their visual acuity. [30, 31] The lower unadjusted rate of glasses use among Yunnan children may also relate to poor access to health services, which has been well documented there. [32, 33]

Given their low rates of observed spectacle use, it is very encouraging that minority Yunnan had the highest rates of acceptance of free glasses, with nearly three-quarters presenting to hospital in order to obtain spectacles. This result is consistent with previous studies showing that providing free glasses could significantly improve use among children in low-income rural areas. [34, 35] Our own work in under-served, rural Chinese populations has similarly suggested that uptake of free glasses approached 80%, and resulted in a doubling of rates of wear. [36] However, only about a third (36.8%) of families in wealthier Guangdong were willing to travel to receive free spectacles in the current study.

The strengths of this report include its population-based design, random selection of the sample, large size and inclusion of substantial numbers of both Han and minority children. Detailed information was collected not only on prevalence of myopia and spectacle wear, but also on the very important behavior of acceptance of free glasses. Limitations must also be acknowledged: We did not refract all children, but rather only those failing vision screening. This limits comparability of our figures on refractive error prevalence with other studies, but does not affect comparisons within the study between Han and minority children. Nearly a third of families refused cycloplegia on behalf of their children and had to undergo subjective refinement by an experienced optometrist as a means of correcting for instrument accommodation from automated refraction. Finally, inferences regarding other minority groups in other parts of China are of limited reliability, as the ethnic makeup in Yunnan differs from that in other areas of China. Nonetheless, the challenges faced by minority peoples in Yunnan, including limited access to education and healthcare, and the lessons from the current study on how these challenges might be overcome, are of potential relevance to other excluded and underserved groups in China and elsewhere.

Despite its limitations, this manuscript is among the first to give information not only on the prevalence of refractive error among minority children in a Chinese region with a significant minority population, but also importantly provides data on their baseline access to spectacles and willingness to accept services. As such, it should be of use to those planning programs of spectacles delivery in similar populations in China.

Supporting information

S1 Table. “B aseline student questionnaire in Chinese”.

https://doi.org/10.1371/journal.pone.0215660.s001

(PDF)

References

  1. 1. Resnikoff S, Pascolini D, Mariotti SP, Pokharel GP. Global magnitude of visual impairment caused by uncorrected refractive errors in 2004. Bull World Health Organ 2008;86(1):63–70. pmid:18235892
  2. 2. Matsumura H, Hirai H. Prevalence of myopia and refractive changes in students from 3 to 17 years of age. Survey Ophthalmol. 1999;44:S109–15.
  3. 3. Zhao J, Pan X, Sui R, Munoz SR, Sperduto RD, Ellwein LB. Refractive error study in children: results from Shunyi District, China. Am J Ophthalmol. 2000;129(4):427–35. pmid:10764849
  4. 4. Pokharel GP, Negrel AD, Munoz SR, Ellwein LB. Refractive error study in children: results from Mechi Zone, Nepal. Am J Ophthalmol. 2000;129(4):436–44. pmid:10764850
  5. 5. Maul E, Barroso S, Munoz SR, Sperduto RD, Ellwein LB. Refractive error study in children: results from La Florida, Chile. Am J Ophthalmol. 2000;129(4):445–54. pmid:10764851
  6. 6. Dandona R, Dandona L, Srinivas M, Sahare P, Narsaiah S, Munoz SR, et al. Refractive error in children in a rural population in India. Invest Ophthalmol Vis Sci. 2002;43(3):615–22. pmid:11867575
  7. 7. Murthy GV, Gupta SK, Ellwein LB, Munoz SR, Pokharel GP, Sanga L, et al. Refractive error in children in an urban population in New Delhi. Invest Ophthalmol Vis Sci. 2002;43(3):623–31. pmid:11867576
  8. 8. Naidoo KS, Raghunandan A, Mashige KP, Govender P, Holden BA, Pokharel GP, et al. Refractive error and visual impairment in African children in South Africa. Invest Ophthalmol Vis Sci. 2003;44(9):3764–70. pmid:12939289
  9. 9. He M, Zeng J, Liu Y, Xu J, Pokharel GP, Ellwein LB. Refractive error and visual impairment in urban children in southern China. Invest Ophthalmol Vis Sci. 2004;45(3):793–9. pmid:14985292
  10. 10. Zhang M, Lv H, Gao Y, Griffiths S, Sharma A, Lam D, et al. Visual morbidity due to inaccurate spectacles among school children in rural China: the See Well to Learn Well Project, report 1. Invest Ophthalmol Vis Sci 2009;50(5):2011–2017. pmid:19136705
  11. 11. Wang X, Yi H, Lu L, Zhang L, Ma X, Jin L, et al. Population prevalence of need for spectacles and spectacle ownership among urban migrant children in Eastern China. JAMA Ophthalmol 2015;133(12):1399–1406. pmid:26426113
  12. 12. Chin MP, Siong KH, Chan KH, Do CW, Chan HHL, Cheong AMY. Prevalence of visual impairment and refractive errors among different ethnic groups in schoolchildren in Turpan, China. Ophthalmic and Physiological Optics 2015;35(3):263–270. pmid:25783952
  13. 13. Wang X, Congdon N, Ma Y, Hu M, Zhou Y, Liao W, et al. Cluster-randomized controlled trial of the effects of free glasses on the purchase of children’s glasses in China: The PRICE (Potentiating Rural Investment in Children’s Eyecare) Study. PLoS One. 2017;12: e0187808. pmid:29161286
  14. 14. List of Chinese administrative divisions by GDP per capita 2016; https://en.wikipedia.org/wiki/List_of_Chinese_administrative_divisions_by_GDP_per_capita. Accessed 14 August 2016.
  15. 15. ExpoChina, Guangdong overview, 2015; http://en.expochina2015.org/2014-10/20/c_2117.htm. Accessed 13 November 2016
  16. 16. Wikipedia. Yunnan. 2016; https://en.wikipedia.org/wiki/Yunnan#Ethnicity. Accessed 13 November 2016.
  17. 17. Ferris FL 3rd, Kassoff A, Bresnick GH, Bailey I. New visual acuity charts for clinical research. Am J Ophthalmol 1982;94:91–6. pmid:7091289
  18. 18. Liu Y, Wang M, Villberg J, Torsheim T. Reliability and validity of the Family Affluence Scale (FAS II) among adolescents in Beijing, China. Child Indicators Research. 2012;5:235–251.
  19. 19. Congdon NG, Patel N, Esteso P, Chikwembani F, Webber F, Msithini R, et al. The association between refractive cutoffs for spectacle provision and visual improvement among school-aged children in South Africa. Br J Ophthalmol 2008;92:13–8. pmid:17591673
  20. 20. Wang Y, Phillion J. Minority language policy and practice in China: The need for multicultural education. Int J Multicultural Educ. 2009;11:1.
  21. 21. Hannum E. Educational stratification by ethnicity in China: Enrollment and attainment in the early reform years. Demography 2002;39(1):95–117. pmid:11852842
  22. 22. Gustafsson B, Shi L. The ethnic minority‐majority income gap in rural China during transition. Economic Development and Cultural Change 2003;51(4):805–822.
  23. 23. Lai SP, Ren HM, Hu HT, Li SB, Lai JH, Yan CX, et al. [HLA-DRB alleles polymorphism in Han, Hui, Uygur and Tibetan populations in northwestern China]. Yi chuan xue bao. 1998;26(5):447–57.
  24. 24. Yu J, Wang X, Chen B, Zhang G, Li P, Sun Y, et al. Study on the mthfr gene polymorphism of five nationalities in China. Acta Anthropologica Sinica. 1997;17(3):242–6.
  25. 25. Li J, Luo C, De Klerk N. Trends in infant/child mortality and life expectancy in Indigenous populations in Yunnan Province, China. Aust NZ J Pub Health. 2008;32(3):216–23.
  26. 26. Yang JJ, Qin Q, Li DB. The Research on Mental Health of Minority University Students in Frontier. J Yunnan Agric Univ (Social Science). 2009;3:16.
  27. 27. Shan M, Wang X, Sun G, Ma B, Yao X, Ainy A, et al. A retrospective study of the clinical differences of Uygur breast cancer patients compared to Han breast cancer patients in the Xinjiang region of China. Int J Clin Exp Med 2014;7(10):3482–3490. pmid:25419387
  28. 28. Dong C, Huang ZJ, Martin MC, Huang J, Liu H, Deng B, et al. The Impact of Social Factors on Human Immunodeficiency Virus and Hepatitis C Virus Co-Infection in a Minority Region of Sichuan, the People’s Republic of China: A Population-Based Survey and Testing Study. PLoS ONE 2014;9(7):e101241. pmid:24988219
  29. 29. Yang YJ, Chang LT, Lyu H. Epidemic status and influencing factors for the poor vision of the students in Yunnan. Chin J Sch Health, 2015:36:12.
  30. 30. Odedra N, Wedner SH, Shigongo ZS, Nyalali K, Gilbert C. Barriers to spectacle use in Tanzanian secondary school students. Ophthalmic Epidemiol 2008;15(6):410–417. pmid:19065434
  31. 31. Li LP, Song Y, Liu XJ, Lu B, Choi K, Lam DSC, et al. Spectacle acceptance among secondary school students in rural China: the Xichang Pediatric Refractive Error Study (X-PRES)—report 5. Invest Ophthalmol Vis Sci 2008;49(7):2895–2902. pmid:18223245
  32. 32. Jing F. Health sector reform and reproductive health services in poor rural China. Health Policy and Planning. 2004;19(suppl 1):i40–9.
  33. 33. Wong HT, Guo YQ, Chiu MY, Chen S, Zhao Y. Spatial illustration of health‐care workforce accessibility index in China: How far has our 2009 health‐care reform brought us?. Aust J Rural Health. 2016;24(1):54–60. pmid:25982013
  34. 34. Keay L, Zeng Y, Munoz B, He M, Friedman DS. Predictors of early acceptance of free spectacles provided to junior high school students in China. Arch Ophthalmol 2010;128(10):1328–1334. pmid:20938003
  35. 35. Yabumoto C, Hopker L, Daguano C, Basilio F, Robi R, Rodriguez D, et al. Factors associated with spectacles-use compliance in a visual screening program for children from Southern Brazil. Invest Ophthalmol Vis Sci 2009;50(13):2439–2439.
  36. 36. Ma X, Zhou Z, Yi H, Pang X, Shi Y, Chen Q, et al. Effect of providing free glasses on children’s educational outcomes in China. Cluster-randomized controlled trial. BMJ. 2014;349:g5740. pmid:25249453