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. Author manuscript; available in PMC: 2013 Jan 1.
Published in final edited form as: Optom Vis Sci. 2012 Jan;89(1):27–32. doi: 10.1097/OPX.0b013e3182357f79

Myopia Progression Rates in Urban Children Wearing Single-Vision Spectacles

Leslie Donovan 1, Padmaja Sankaridurg 1, Arthur Ho 1, Thomas Naduvilath 1, Earl L Smith III 1, Brien A Holden 1
PMCID: PMC3249020  NIHMSID: NIHMS328946  PMID: 21983120

Abstract

Purpose

To conduct a meta-analysis on the rates of myopia progression in urban children of Asian and predominately European ethnicities who are corrected with traditional single-vision spectacles.

Methods

A search of the National Library of Medicine’s PubMed literature database for articles on myopia progression was conducted using the terms ‘myopi*progression’ and MeSH terms ‘myopia’ and ‘disease progression’, and limited to publications from January 1990 and only for papers reporting data for humans < 16 years of age. Studies were excluded if they were non-randomized, did not use cycloplegic autorefraction, had a sample size less than 30 individuals, examined high myopia (worse than −6.0D) or special subject groups, presented myopia as part of a syndrome or condition, were retrospective, or used controls wearing optical corrections other than spectacles.

Results

Of 175 articles identified, 20 remained after applying the exclusion criteria. The estimated myopia progression at a mean age of 9.3 years after one year of follow-up was −0.55 D (95% C.I. −0.39 to −0.72 D) for populations of predominantly European extraction and −0.82 D (95% C.I. −0.71 to −0.93 D) for Asians. The estimated progression rates were dependent on baseline age, with decreasing progression as age increased. The rates also varied with gender. For an average baseline age of 8.8 years, estimated annual progression (combined ethnicities) was −0.80 D/year for females (95% CI: −0.51 to −1.10), and a significantly slower (p<0.01) −0.71 D/year for males (95% CI: −0.42 to −1.00).

Conclusions

In children wearing single-vision spectacles, higher myopia progression rates were found in urban Asians compared to urban populations of predominantly European descent. Younger children and females demonstrated greater annual rates of progression of myopia.

Keywords: myopia, progression, children, meta-analysis, spectacles


Myopia, as a global health and quality of life issue, has attracted considerable attention, not only with respect to the visual impairment and consequent impact of refractive errors on daily life, but also because of the morbidity associated with this ametropia. Myopia is a risk factor for cataract,1 glaucoma,2 retinal detachment,3 and myopic retinopathy.4 Juvenile-onset myopia typically begins in the school years5 and affected individuals usually confront a lifetime of dependence on optical corrections and the associated financial burden consequent upon this provision.

There is growing evidence that the prevalence of myopia is increasing in many parts of the world, in particular in Taiwan,6 Japan,7 Hong Kong,8 Singapore,9 and the United States.10 Higher prevalence rates have historically been reported in urban than in rural regions, and the prevalence of myopia varies with ethnicity even within the same geographic zone.11,12 Clearly, myopia has become an important public health issue, evidenced by the fact that it is one of the five ocular conditions listed as immediate priorities by the World Health Organization’s Global Initiative for the Elimination of Avoidable Blindness.13

While there is a substantial body of data concerning both myopia prevalence and progression rates in the literature, difficulties are encountered when attempting to compare results between individual studies. Differing recruitment methods, refraction techniques, data presentation and population ethnicity mixes, all potentially confound comparisons. The purpose of this paper is to present a meta-analysis of published rates of myopia progression with respect to ethnicity, age, and years of follow-up in children wearing single-vision spectacles. A set of inclusion/exclusion criteria was applied to the published data in order to ensure uniformity.

METHODS

Literature search strategy

Data on myopia progression rates were obtained from published randomized or quasi-randomized studies, including longitudinal population and school-based surveys and the control groups in myopia intervention trials.

Studies and Databases Searched

The National Library of Medicine PubMed literature database was initially searched on October 23, 2009 for articles with a published date from January, 1990 to October, 2009 using the term ‘myopi* progression’, with limits of ‘humans’, ‘randomized controlled trial’, ‘clinical trial’, ‘English abstract’ and ‘all child: 0–18 years’. Ninety-five articles were identified. A further search was undertaken on October 28, 2009 using the following search terms selected from the National Library of Medicine's controlled vocabulary: ‘Myopia AND Disease Progression NOT Keratomileusis, Laser In Situ NOT surgery AND humans AND Clinical Trial OR Randomized Controlled Trial OR Controlled Clinical Trial OR English Abstract OR Journal Article AND infant OR child OR adolescent’. This search yielded 135 articles. Of the 95 articles found by the initial search strategy, 43 were not found by the MeSH term search, including most notably the COMET report of 2003.14 Of the 135 articles found by the second search strategy, 83 were not found by the first. Fifty-two articles were common to both searches. The total number of individual articles found by the searches was 178.

The abstract of each of the 178 articles (138 English language; 40 non-English language) was assessed with reference to the exclusion criteria listed in Table 1, and was classified as (i) To be included, (ii) Further assessment required, or (iii) To be excluded. Although several exclusion criteria may have applied to a single article, only one was recorded. The full text of those classified as (ii) was reviewed with subsequent re-classification of the manuscript as (i) or (iii). Based on the criteria listed in Table 2, 118 of the 138 English language articles were rejected and none of the 40 non-English language articles was found suitable. Twenty articles 1433 met the inclusion criteria. Fourteen reported on myopia intervention trials with single-vision, spectacle-wearing controls,1416, 1821, 2528, 3031, 33 and six were longitudinal surveys.17, 2224, 29, 32 Of the twenty articles, one30 was a 12-month study documenting the subsequent progression of myopia following 2 years of treatment with atropine that had been reported in a previous paper.15 Control group data from these two papers were combined in the analysis to derive myopia progression of the control group over a three-year, rather than a two-year period. Although two papers reporting progression rates of COMET children were included,14, 20 only one20 was used for the age-specific analysis. With the exception of those from one article14 that reported only adjusted data, unadjusted data were used.

Table 1.

Exclusion criteria.

(1) Baseline and subsequent refractions not obtained under cycloplegia.
(2) Refractive measurements not obtained using automated refraction.
(3) Data not from urban populations
(4) Control groups of myopia intervention studies that were not randomized or quasi-randomized.
(5) Groups that did not wear single-vision spectacles for correction.
(6) Data obtained from exclusive populations that might not be representative of the population as a whole.
(7) Myopia as part of a syndrome, associated with ocular or systemic disease, surgery or injury.
(8) Data on populations less than 30 individuals (excluding sub-set data).
(9) Subjects older than 16 years at baseline.
(10) Studies with a retrospective component or review papers.
(11) Articles that were reports on part of another study used in the meta-analysis where the former added no new usable data.

Table 2.

Number of English and non-English language articles rejected.

Reason for exclusion English Non-English
No progression data or data unsuitable 43 2
Retrospective component or review paper 21 8
Syndrome, disease, surgery or injury 15 13
Refractive data without cycloplegia 11 -
Data on less than 30 individuals 8 -
Control groups using other than S.V. spectacles 4 -
Unsuitable or no control group 4 -
Refractive data by other than autorefraction 3 -
Only subjects older than 16 years at baseline 3 -
Exclusive or special populations 3 -
No new data on study already in the meta-analysis 2 -
Non-urban population 1 -
English abstract insufficient to determine suitability 16
No English abstract available 1
Total 118 40

Statistical Methods

From each publication that met the exclusion/inclusion requirements, the mean myopia progression was ascertained and used for further analyses. Mean progression data were entered together with information relating to follow-up visits, and categorized based on demographic factors including age, gender and ethnicity. The sample size at the start of each study and at each follow-up visit was also recorded and used to weight the mean progression data in the statistical model. The mean myopia progression was estimated with its 95% confidence limits by age, years of follow-up, ethnicity and gender. Data were analyzed using weighted linear mixed models with random intercepts where each publication was factored as a random effect. Demographic variables and follow-up visits were fixed effects. Covariate terms such as age and follow-up time were tested for linear and quadratic effects. The estimated means from this model were plotted and the best fitting curve was derived. For those studies that reported only cumulative progression for greater than 1 year, the annual progression was estimated using the method described under Progression and Ethnicity in the results section. Studies were classified into two broad groupings: (1) Those with data on subjects of predominantly European descent (referred to subsequently as “European”), and (2) Those with data on predominantly East-Asian subjects (referred to subsequently as “Asian” for ease of discussion). The “European” studies originated in the United States, with the mean percentages of ethnicities reported as White, 59%; African- American, 15%; Hispanic, 16%; Asian, 5%; and other, 5%. In the Asian studies, the mean percentage of ethnicities other than Chinese or Japanese was 6%, which included children of Malay, Indian and other non-Chinese ethnicities.

RESULTS

Progression by Baseline Age

There was a total of 2194 subjects with progression rates reported for baseline ages between 7 and 12 years, with the largest data set (581 subjects) for 7 year-olds and the smallest (265 subjects) for 10 year-olds. Figure 1 shows the estimated annual progression at specific baseline ages (black, square markers) for Asian children, and the predicted relationship between annual progression in diopters and median age at baseline. Error bars denote 2× the standard error of the estimates. The relationship between progression and baseline age is negative, described curvilinearly, and modeled by a quadratic equation. Only one study 20 provided age-specific progression data by baseline age for Europeans, and these data points are shown as diamonds. In general, for both broad ethnic groupings, older children exhibited lower myopia progression, with the rate of progression decelerating with age.

Figure 1.

Figure 1

Black, square markers indicate estimated annual myopia progression for Asian children at specific baseline ages. Error bars denote 2× the standard error. Diamonds plot values for the one study that provided age-specific, progression data for European children.

Progression by Gender

The studies that reported progression by gender did so for all ages combined. Data were available on 408 females and 461 males with a mean age of 8.8 ± 0.6 years (range 8–10 years). The estimated annual myopia progression was slightly higher for females (−0.80 D, 95% CI: −0.51 to −1.10) compared to males (−0.71 D, 95% CI: −0.42 to −1.00) at a mean baseline age of 8.8 years (p < 0.01). Only one study 20 reported gender-specific data for Europeans. With these data removed, estimated annual progression for Asian females was −0.86 D (95% CI: −0.42 to −1.29), and for Asian males −075 D (95% CI: −0.32 to −1.19).

Progression and Ethnicity

To compare differences between ethnicities, data for 1, 2 and 3 years of follow-up were used. The mean follow-up period for Europeans was 1.8 ± 0.8 years, and for Asians 1.5 ± 0.8 years. There was a significant difference in progression rates between the two broad ethnic groups (p=0.002), however it was observed that the differences between ethnicities interacted with the year of follow-up (p=0.001). This suggests that the rate of progression over the 3 years of follow-up was different for the two groups. The estimated cumulative progressions for 1, 2 and 3 years of follow-up for a child of 9.3 years at baseline are shown in Figure 2. The age of 9.3 years represents the mean age of the total sample. The data indicate that the cumulative difference between Asians and Europeans increases with years of follow up. The cumulative progression for Asians was higher than Europeans by −0.31 D, −0.49D and −0.58D at 1, 2 and 3 years of follow-up.

Figure 2.

Figure 2

Black, square markers indicate estimated cumulative myopia progression for Asian children at specific years of follow-up. Estimates for European children are indicated by diamonds. Error bars denote 2× the standard error.

The mean cumulative progression for subsequent years of follow-up was compared to that of the first year. Due to the age-related decline in progression rate, the mean cumulative progression over two years for Europeans was found to be 1.8× that of the first year, while the mean cumulative progression over three years was 2.5× that of the first. For Asians, the factors were slightly different, being 1.7× for cumulative 2-year progression and 2.3× for 3 years.

A limitation of our progression and ethnicity analysis is that 15% of the “European” subjects were African-Americans, and 5% of Asian ancestry.

DISCUSSION

Meta-analysis is a useful technique for summarizing the data from a number of studies. However, it is only valid if the data in each study are comparable.3435 Determination of meaningful myopia progression rates is dependent on many factors, including refraction techniques that reliably detect small changes in refraction over time, and implementation of appropriate exclusion criteria. The studies included in this meta-analysis presented progression rates in a variety of ways. Most reported group means over a wide age range. However, some studies report age-specific rates, necessitating the use of the mid range of the age groups in our analysis.

Previous studies have shown that the mean rate of myopia progression in Asian children is greater than in age-matched European children.14, 24, 3637 This is in agreement with our meta-analysis which determined the mean rate of myopia progression in Asian children to be approximately 0.20 D per year faster than their age-matched European counterparts. Figure 2 plots the estimated myopia progression for average 9.4 year-old European and Asian children during each of three years of follow-up, and demonstrates a consistent difference in progression rates between the two ethnicities with the Asian children exhibiting faster progression at each time point.

The prevalence of myopia in Asian populations has been found to be significantly higher than that in Europeans,38, 5, 3941 and is increasing at a rapid rate. 42, 6 As yet, it has not been established whether the higher prevalence is a result of an inherent increased susceptibility to myopiagenic environmental factors, or merely that Asian children generally have a lifestyle that is more likely to lead to the development of myopia. What has been established is the positive association between myopia progression and the number of myopic parents for both Asian43 and European44 children. Whether this association is related to genetic commonalities or shared environments is again unclear. Perhaps of even greater concern is that the higher progression rate and earlier onset of myopia in Asian children45 is consistent with the observation that there has been a rise in the prevalence of high myopia46 (worse than −6 D) in Asians, with its associated risk of severe visual impairment. These findings raise the question of whether earlier screening for the onset of myopia should be implemented for Asian children, along with more regular examinations.

In contrast to the 0.87 dioptres per year annualized progression rate for Asians found in this meta-analysis, a large, longitudinal survey47 estimated the mean annual progression rate of myopic Chinese school children aged 5 to 13 years old at baseline to be 0.35 dioptres per year. However this study differed from those used in our meta-analysis as the sample was population-based rather than recruited from schools or brought into a study by parents, and the participants were from a semi-rural rather than an urban area of China

Summary

Approximately 11% of the articles identified by the literature search satisfied our inclusion criteria. Meta-analysis revealed higher myopia progression rates in urban Asians compared with urban Europeans. Younger children demonstrated greater annual rates of progression of myopia and females had slightly greater mean progression rates than males.

ACKNOWLEDGMENTS

The authors thank Kevin Frick, PhD and Judith Flanagan, PhD, for assistance with preparation of the manuscript.

Funded by grants from the Brien Holden Vision Institute and the Australian Government’s CRC scheme through the Vision CRC.

Footnotes

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