- •Contents
- •Foreword
- •Dedication
- •Message
- •About the Editors
- •List of Contributors
- •Acknowledgments
- •Introduction
- •Methodologic Issues
- •Review of Studies (Table 1)
- •Cohort Effects on Myopia
- •Risk Factors for Myopia
- •Near work
- •Education/Income
- •Outdoor activity
- •Race/Ethnicity
- •Nuclear cataract
- •Family aggregation/Genetics
- •Siblings
- •Parent-child
- •Other family members
- •Genetics
- •Comments
- •Acknowledgments
- •References
- •Introduction
- •Definition of Myopia in Epidemiologic Studies
- •Risk Factors for Myopia and Ocular Biometry
- •Family history of myopia
- •Near work
- •Outdoor activity
- •Stature
- •Birth parameters
- •Smoking history
- •Breastfeeding
- •Conclusion
- •References
- •Introduction
- •Aetiological Heterogeneity of Myopia
- •Clearly genetic forms of myopia
- •School or acquired myopia
- •Misunderstandings of Heritability and Twin Studies
- •But Heritability has Its Uses
- •Evidence for Genetic Associations of School Myopia
- •Evidence for the Impact of Environmental Factors on Myopia Phenotypes
- •Gene-Environment Interactions and Ethnicity
- •Gene-Environment Interactions and Parental Myopia
- •Conclusion
- •Acknowledgments
- •References
- •Introduction
- •Economic evaluations
- •Full vs partial evaluations
- •Economic evaluation of myopia
- •The Economic Cost of Myopia: A Burden-of-Disease Study
- •China
- •India
- •Europe
- •Singapore
- •Southeast Asia
- •Africa
- •South America
- •Bangladesh
- •ii. Proportion of myopes paying for correction
- •Uncorrected and undercorrected refractive error, spectacle coverage rate and reasons for spectacles nonwear
- •iii. Amount paid for myopic correction
- •Singapore
- •The burden of myopia
- •Further Directions for Economic Research
- •References
- •Introduction
- •Impact of Myopia in Adults
- •Overall Conclusion
- •Future Studies
- •References
- •Introduction
- •Definition of Pathological Myopia
- •Cataract
- •Glaucoma
- •Myopic Maculopathy
- •Myopic Retinopathy
- •Retinal Detachment
- •Optic Disc Abnormalities
- •References
- •Conclusion
- •Introduction
- •The Association Between Myopia and POAG
- •Information from epidemiological studies
- •Asian populations: Myopia and POAG
- •Myopia in other situations
- •Myopia and ocular hypertension
- •Myopia in angle closure
- •Myopia in Pigment Dispersion Syndrome (PDS)
- •Theories for a Link Between Myopia and POAG
- •Glaucoma Assessment in Myopic Eyes
- •Biometric differences
- •Axial length and CCT
- •Optic disc assessment in myopic eyes
- •Visual fields in myopic eyes
- •Imaging tests and variations with myopia
- •ONH susceptibility to damage
- •The Influence of Myopia on the Clinical Management of the Glaucoma Patient
- •Glaucoma progression and myopia
- •References
- •Posterior Staphyloma
- •Myopic Chorioretinal Atrophy
- •Lacquer Cracks
- •Myopic Choroidal Neovascularization
- •Myopic Foveoschisis
- •Myopic macular hole detachments
- •Lattice degeneration
- •Retinal tears and detachments
- •References
- •Introduction
- •Electroretinography
- •Ganzfeld electroretinography
- •Multifocal electroretinography
- •Assessment of Retinal Function
- •Outer retinal (photoreceptor) function
- •Post-receptoral (bipolar cell) and retinal transmission function
- •Inner retinal function
- •Macular function in myopic retina
- •Effect of Long-Term Atropine Usage on Retinal Function
- •Macular Function Associates with Myopia Progression
- •Factors Associated with ERG Changes in Myopia
- •Conclusion
- •References
- •Introduction
- •Genomic Convergence Using Genomic Content
- •Pathway Analysis
- •Pathway analysis in cancer genomics
- •Pathway analysis in GWAS
- •Non-parametric approaches
- •Parametric approaches
- •P-values combining approaches
- •Conclusion
- •References
- •Introduction
- •Definition of Myopia
- •The Classical Twin Model
- •What is the classical twin model?
- •Historical perspective
- •Statistical approaches
- •Twins, Myopia and Heritability Studies
- •Heritability studies for myopia using twins
- •Limitations of using twins in heritability studies
- •Twins and Myopia — Other Studies
- •The Importance of Twin Registries
- •Concluding Comments
- •Acknowledgments
- •References
- •Introduction
- •Candidate Gene Selection Strategies for Myopia
- •Genes Associated With Myopia-Related Phenotypes
- •The HGF/cMET ligand-receptor axis
- •The collagen family of genes
- •Concluding Remarks
- •Acknowledgments
- •References
- •Introduction
- •Phenotypes for Myopia Genetic Studies
- •Study Design
- •Genotyping and Quality Controls
- •Population Structure
- •Association Tests
- •Correlated Phenotypes
- •Imputation and Meta-Analysis
- •Visualization Tools
- •Drawing Conclusions
- •Acknowledgments
- •References
- •Introduction
- •The Search for Error Signals
- •The blur hypothesis
- •Bidirectional lens-compensation
- •Recovery from ametropia vs. compensation for lenses
- •The complication of the emmetropization end-point
- •Optical aberrations as error signals
- •Other possible visual error signals
- •How Important is Having a Fovea?
- •Mechanisms of Emmetropization
- •Scleral similarities and differences between humans and chickens
- •Retinal signals
- •Glucagon-insulin
- •Retinoic acid
- •Dopamine
- •Acetylcholine
- •Choroidal signals
- •The Role of the Choroid in the Control of Ocular Growth
- •Diurnal rhythms and control of ocular growth
- •Conclusions
- •References
- •Introduction
- •Gross Scleral Anatomy
- •Structural organization of the sclera
- •Cellular content of the sclera
- •Mechanical properties of the sclera
- •Structural Changes to the Sclera in Myopia
- •Development of structural and ultrastructural scleral changes in myopia
- •Scleral pathology and staphyloma
- •Biochemical Changes in the Sclera of Myopic Eyes
- •Structural biochemistry of the sclera in myopia
- •Degradative processes in the sclera of myopic eyes
- •Cellular changes in the sclera in myopia
- •Biomechanical Changes in the Sclera of Myopic Eyes
- •Regulators of scleral myofibroblast differentiation
- •Myofibroblast-extracellular matrix interactions
- •Cellular and matrix contributions to altered scleral biomechanics and myopia
- •Scleral Changes in Myopia are Reversible
- •Eye growth regulation during recovery from induced myopia
- •Summary and Conclusions
- •Acknowledgments
- •References
- •Introduction
- •Spatial Visual Performance and Optical Features of the Eye
- •Axial eye growth and development of refractive state
- •Lens thickness and vitreous chamber depth
- •Corneal radius of curvature
- •Schematic eye data
- •Techniques Currently Available for Myopia Studies in the Mouse, Both for Its Induction and Measurement
- •Devices to induce refractive errors
- •Techniques to measure the induced refractive errors and changes in eye growth
- •Refractive state
- •Corneal radius of curvature
- •Axial length measurements and ocular biometry
- •Measurements of the optical aberrations of the mouse eye
- •Behavioral measurement of grating acuity and contrast sensitivity in the mouse
- •Recent Studies on Myopia in the Mouse Model: Some Examples
- •Magnitudes of experimentally induced refractive errors in wild-type mice
- •Refractive development in mutant mice
- •Pharmacological studies to inhibit axial eye growth in mice
- •Image processing and regulation of retinal genes and proteins
- •Summary
- •Acknowledgments
- •References
- •Introduction
- •A Brief Introduction to Comparative Genomics
- •Comparative Expression
- •Genes in Retina and Sclera in Animal Models of Myopia
- •ZENK (EGR-1)
- •Scleral Gene Expression in a Mouse Model of Myopia
- •RNA, Target cDNA and Microarray Chip Preparation
- •Microarray Data Analysis
- •Scleral Gene Expression in the Myopic Mouse
- •Summary
- •References
- •Introduction
- •Possible Mechanisms of Pharmacological Treatment
- •Efficacy Studies
- •Other Issues Related to Drugs
- •Potential Side Effects
- •The Future of Drug Treatment in Myopia
- •Conclusions
- •References
- •Introduction
- •Accommodation
- •Close work
- •Physical characteristics of the retinal image
- •Visual deprivation
- •Compensatory changes in refraction
- •Intensity and periodicity of light exposure
- •Spatial frequency
- •Light periodicity
- •Image clarity
- •Outdoor activity and retinal image blur
- •Light vergence and photon catch
- •Chromaticity
- •Therapeutic implications
- •References
- •Index
66 M.C.C. Lim and K.D. Frick
proportion of uncorrected refractive error; an economic rationale for governments to provide these is more likely to be justifiable.3,4
Myopia is often given minor priority in public health research, yet the societal costs of myopia can be considerable. In a broad view, costs include not only the costs of optical correction, but also morbidity resulting from eye diseases associated with myopia such as glaucoma, cataract, maculopathy and retinal detachment. As a first step, conducting a study that looks at only costs of the disease and treatment without considering alternatives is relatively simple to do. Studies that examine only costs of treating the disease can be either cost-of-illness or burden-of-disease studies. The former is concerned with costs from time of incidence, while the latter is concerned with the costs of treating prevalent cases regardless of time of incidence. These studies help to quantify the overall burden of a disease and allow comparisons with burdens of other diseases of the costs of the disease. Ultimately, economists prefer evaluations looking at both costs and benefits. With sufficient information, a full economic evaluation would look at costs and benefits of multiple alternatives.
The Economic Cost of Myopia: A Burden-of-Disease Study
At the simplest level, one could look into calculating the worldwide cost of correcting myopia, a burden-of-disease evaluation. Initially, the prevalence of myopia, or the number of myopes, must be estimated. The proportion of myopes paying for correction and unit price data are also needed to estimate the economic cost of myopia.
Annual cost of myopia = Number of paying myopes
×average amount spent per myope
=Population
×myopia prevalence
×proportion of myopes having correction
×proportion of myopes paying for correction
×average amount spent per myope.
(The reader should note that this is the “observed” burden. The “maximum” burden would include treatment of all myopes.)
67 The Economics of Myopia
Data needed include:
i.Prevalence of myopia
ii.Proportion of myopes with correction/paying for correction
iii.Amount paid for myopic correction
i.Prevalence of myopia
The data for this comes from the numerous epidemiological studies carried out around the world that have already been covered in detail in Chapter 1.1. However, data for many countries are still lacking. We will estimate the myopia prevalence in these countries based on data from neighboring countries or countries with similar socioeconomic characteristics.
China
China is country with the largest population in the world; it is important to use accurate figures for myopia prevalence. Numerous studies have been published recently. A population-based study of an urban cohort in Guangzhou, China, showed a prevalence of myopia of 32.3% in subjects aged 50 years and above.5 Urban 15-year-old school children had a myopia prevalence rate of 73%.6 Further, a study showed that 62.3% of 15-year-old Chinese school children in a rural area were myopic.7 Another study of rural school children in Southern China found that 37% of 13-year-olds were myopic, this figure rising to 54% of 17-year-olds, were myopic.8 The Beijing eye study showed that 22.9% of the population aged 40 to 90 years of age in a mixed urban and rural cohort were myopic.9 Table 1 shows an estimation of the number of myopes in China. For adults aged 44 years and above, data from the Beijing Eye Study9 was used because the mixed urban and rural cohort was more representative for the whole of the country than other purely urban or rural cohorts.
India
India is the country with the second largest population in the world. However, there are relatively few studies on myopia prevalence, which was estimated to be 7% in an urban cohort in 5- to15-year-olds10 and 4.1% of 7- to 15-year-olds in a rural cohort.11 In South India, it was 27% for those above 39-years of age.12 The estimates used are shown in Table 2.
68 |
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M.C.C. Lim and K.D. Frick |
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Table 1. Prevalence of Myopia in China |
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|
|
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|
|
|
|
|
Proportion |
|
|
|
|
|
|
|
|
of Total |
|
Myopia |
|
|
|
|
|
Age |
Population |
Population |
Prevalence |
|
Number |
|
|
segment |
(%) |
Number |
(%) |
Source |
of Myopes |
|
|
|
|
|
|
|
|
|
|
|
|
0–15 |
20.3 |
267,960,000 |
40.0 |
Guangzhou6 |
107,184,000 |
|
|
|
15–29 |
22.8 |
300,960,000 |
30.0 |
Est. |
90,288,000 |
|
|
|
30–44 |
26.7 |
352,440,000 |
26.0 |
Est. |
91,634,400 |
|
|
|
45–59 |
18.2 |
240,240,000 |
22.9 |
Beijing9 |
55,014,960 |
|
|
60–74 |
9.4 |
124,080,000 |
22.9 |
Beijing9 |
28,414,320 |
||
|
75–84 |
2.3 |
30,360,000 |
22.9 |
Beijing9 |
6,952,440 |
||
|
85+ |
0.3 |
3,960,000 |
22.9 |
Beijing9 |
906,840 |
||
|
|
Total |
|
1,320,000,000 |
|
|
380,394,960 |
|
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|
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Table 2. Prevalence of Myopia in India |
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|
|
Proportion |
Prevalence |
|
No. of |
|
|
Age |
Population |
(%) |
(%) |
Source |
Myopes |
|
|
|
|
|
|
|
|
|
|
|
|
0–14 |
356,500,000 |
31 |
6 |
New Delhi10 |
21,390,000 |
|
|
15–64 |
736,000,000 |
64 |
27 |
South India12 |
198,720,000 |
||
|
65+ |
57,500,000 |
5 |
27 |
South India12 |
15,525,000 |
||
|
|
Total |
1,150,000,000 |
|
|
|
235,635,000 |
|
|
|
|
|
|
|
|
|
|
Europe
The estimated prevalence of myopia in subjects 40 years and above in Western Europe is estimated at 26.6%, similar to that in the USA.13 From this we can assume that the myopia prevalence in those under 40 years of age is similar to that in our calculations, and the prevalence for the whole of Europe is assumed to be similar. The figure of 27% was used in our model and this is reasonable as it is similar to the figure we computed from more data, for the United States (see later). Assumptions such as these are necessary due to lack of data.
Singapore
There are several studies detailing the prevalence of myopia in Singapore and these are shown in Table 3.
69 |
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The Economics of Myopia |
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Table 3. Prevalence of Myopia in Singapore |
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|
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|
|
|
Number of |
Percentage of |
|
Number of |
|
Age |
People |
Myopes |
Source |
Myopes |
|
|
|
|
|
|
|
|
0–4 |
196,500 |
5 |
5–9 |
240,100 |
29 |
10–14 |
261,500 |
60 |
15–19 |
249,900 |
74 |
20–24 |
222,400 |
79 |
25–29 |
257,300 |
70 |
30–34 |
302,700 |
60 |
35–39 |
308,200 |
60 |
40–44 |
331,900 |
45 |
45–49 |
319,300 |
45 |
50–54 |
272,200 |
25 |
55–59 |
219,100 |
25 |
60–64 |
120,900 |
30 |
65–69 |
111,500 |
30 |
70–74 |
80,600 |
32 |
75–79 |
57,600 |
32 |
80+ |
56,700 |
32 |
Total |
3,608,500 |
|
Estimated |
9825 |
Tan et al.14 |
69,629 |
Estimated |
156,900 |
Quek et al.15 |
184,926 |
Wu et al.16 |
175,696 |
Estimated |
180,110 |
Estimated |
181,620 |
Estimated |
184,920 |
Tanjong Pagar17 |
149,355 |
Tanjong Pagar17 |
143,685 |
Tanjong Pagar17 |
68,050 |
Tanjong Pagar17 |
54,775 |
Tanjong Pagar17 |
36,270 |
Tanjong Pagar17 |
33,450 |
Tanjong Pagar17 |
25,792 |
Tanjong Pagar17 |
18,432 |
Estimated |
18,144 |
|
1,544,157 |
Southeast Asia
In a predominantly Malay cohort, school-age children in a suburban area near Kuala Lumpur in Malaysia had lower rates of myopia. In children aged 7 years, 10% had myopia, this figure rising to 34% in 15-year-olds.18 In Indonesia, it was 26.2%.19 For our analysis, Indonesia, the fourth largest country in the world, was taken to have a prevalence of myopia of 26%.
Africa
Myopia prevalence of 15-year-olds has been reported at 10%.20 In Ghanaian school children aged 6 to 22 years, it was 7%.21 For students aged 11–27 years, the prevalence of myopia was 5.6%.22 In general, myopia seems to be less prevalent among those born and raised in Africa. There is little data on myopia prevalence in adults so we use a figure of 10% for Africa.
USA
Estimates for the prevalence of myopia in the USA are shown in Table 4.
