- •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
2.1
Quality of Life and Myopia
Ecosse L. Lamoureux*,†,‡ and Hwee-Bee Wong§,¶
The measurement of the impact of myopia from a patient’s point of view has been advocated in the recent years. We provide a critical assessment of the impact of myopia on vision-specific functioning, generic and visionspecific health-related quality of life in children, adolescents, and adults. We also comment on the important inclusion of modern psychometric methods, particularly Rasch analysis, in future work associated with myopia and the quality of life.
Introduction
Ophthalmology has traditionally relied on objective measurements of vision impairment to represent patients’ functional capabilities. Measures of visual acuity and visual field remain the main outcomes of interest.1 However, over the last two decades, patient-centered benefits have become important healthcare outcomes as clinicians, researchers, administrators, and policy makers have concluded that measures such as visual acuity may not capture all important aspects of vision functioning from a patient’s perspective.1–3 Within this new framework, an effective measurement of the impact of vision loss from the patient’s point of view has become
*Corresponding author. Department of Ophthalmology, University of Melbourne, 32 Gisborne Street, East Melbourne, Victoria 3002, Australia. E-mail: ecosse@unimelb.edu.au
†Centre for Eye Research Australia, the Royal Victorian Eye and Ear Hospital, University of Melbourne, East Melbourne, Australia.
‡Singapore Eye Research Institute, Singapore National Eye Centre, Republic of Singapore.
§Health Services Research and Evaluation Division, Ministry of Health, 16 College Road, Singapore 169854, Republic of Singapore.
¶Department of Epidemiology and Public Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
83
84 E.L. Lamoureux and H.-B. Wong
essential to determine the effectiveness of controlled clinical trials, clinical audit, or outcomes research.
Since the measurement of patient-reported health outcomes aims at understanding the effect of ocular diseases or impairment taken from the patient’s perspective, there has been a plethora of instruments developed to measure these concepts. Confusingly however, many authors refer to instruments that simply measure disability or functioning as quality of life (QoL). Disability is the limitation of a person’s ability to perform activities caused by a medical condition. Visual disability or restricted visual functioning would be more appropriately called vision-related activity limitation as advocated by the World Health Organization (WHO) International Classification of Functioning, Disability and Health (ICF).4 Compared to disability and functioning, health-related quality of life (HRQoL) is a broader concept, which encompasses many issues that impact a person’s life. HRQoL usually refers to the effect of a disease on the way a person enjoys life, including the way the illness affects a person’s ability to live free of pain, to work productively, and to interact with loved ones. These issues are usually grouped into domains such as well-being, symptoms, work/economic concerns, cognition, independence, and social interaction.
There have been two common methods of assessing HRQoL. The first involves generic instruments that measure broad aspects of health. Generic HRQoL instruments provide a general sense of the effects of an illness but not a particular medical condition. The Medical Outcomes Study ShortForm Health Survey (SF-36) is one most used generic HRQoL instruments.5 The major limitation of generic HRQoL instruments is that they do not assess potential condition-specific domains of HRQoL. Because of this, they may not be sensitive enough to detect subtle treatment effects. The second approach to measure HRQoL involves the use of instruments that are specific to a disease. Measures geared toward specific diseases or populations are likely to be more sensitive, and therefore, to have greater relevance to practicing clinicians. Vision-specific HRQoL therefore investigates the impact of vision impairment on QoL, examining both the impact and importance of each domain on QoL and allowing for variability in the relevance of specific domains to individual respondents.
The measurement of the impact of myopia from a patient’s point of view has been advocated in recent years. In this chapter, we provide a critical assessment of the research associated with the impact of myopia on generic HRQoL, vision-specific functioning, and vision-specific HRQoL.
85 Quality of Life and Myopia
Impact of Myopia in Children, Adolescents and
Young Adults
In spite of the high prevalence rates of myopia in children, adolescents, and young adults, particularly in Asian countries, there is a paucity of research that has investigated myopia’s impact on functioning or HRQoL in these younger populations (Table 1). The Pediatric Quality of Life Inventory Version 4.0A (PedsQL 4.0) was recently utilized to assess the impact of myopia in 1249 Singaporean adolescents aged 11 to 18 years.6 The 23-item PedsQL 4.0 measures the core physical, mental, and social health dimensions as delineated by the World Health Organization, as well as role (school) functioning.7 The scale comprises parallel child self-report and parent-proxy report formats for age ranges of 5 to 7, 8 to 12, and 13 to 18 years. Respondents are asked about the difficulty of performing each item over the past month (e.g. “It is hard for me to run”).8 Responses are made on a five-point Likert scale and scores are transformed to a 0 to 100 scale. Total and two subscale scores, i.e. physical and psychosocial health summary scores, can then be derived, with higher scores indicating better HRQoL. The total scores reported by high and low myopic adolescents were not significantly different when compared to adolescents without myopia (p > 0.05). This study, however, showed that presenting visual impairment (VA [visual acuity] < 6/12) was associated with diminished total HRQoL, psychosocial, and school functioning scores in healthy
Table 1. Details of Studies that have Investigated the Impact of Myopia on Generic Health and Vision-specific Functioning in Children, Adolescents, and Young Adults
|
|
Age |
Sample |
|
|
Author |
Country |
Range |
Size |
Study Design |
Measure |
|
|
|
|
|
|
Wong et al., |
Singapore |
11 to 18 |
1249 |
Cross-sectional, |
PedsQL 4.0 Generic |
20096 |
|
|
|
school-based |
Core Scales |
Saw et al., |
Singapore |
15 to 18 |
699 |
Cross-sectional, |
Time trade off |
200313 |
|
|
|
school-based |
and standard |
|
|
|
|
|
gamble for death |
Lim et al., |
Singapore |
18 to 22 |
120 |
Cross-sectional, |
Utility values: |
200514 |
|
|
|
school-based |
Time trade off |
|
|
|
|
|
and standard |
|
|
|
|
|
gamble for death |
Congdon et al., |
China |
13–17 |
1892 |
Cross-sectional, |
Vision-specific |
200815 |
|
|
|
school-based |
functioning |
|
|
|
|
|
|
86 E.L. Lamoureux and H.-B. Wong
adolescents without any medical problems. Since the best-corrected VA was not assessed, visual impairment attributable to uncorrected refractive error could not be determined in these adolescents.
Other generic HRQoL methods have also been used to determine the impact of myopia. Utility values are measures that assess the QoL associated with a health state.9–11 Utility values traditionally range from 1.0, associated with perfect health, to 0.0, associated with death. Scores approximating a value of 1.0 indicate a better QoL associated with a health state. Conversely, those closer to 0.0 suggest poorer levels of QoL.9 Time-Trade-Off (TTO) is also another technique used to help determine the QoL of a patient or group. Similarly, the Standard Gamble (SG) technique is a traditional technique of measuring preferences under uncertainty. It is used to measure utility functions over life-years and health states, as well as the preference weights to be used in the Quality Adjusted Life Years (QALY) calculations.12 Two studies in Singapore have been conducted to examine the utility values in myopic students. The first involved 699 myopic students aged 15 to 18 years who reported that the mean time trade-off (years of life willing to be sacrificed) and standard gamble (risk of blindness from therapy willing to be sacrificed), utility values for treatment of myopia were not related to the severity of myopia.13 They reported that myopic teenagers with better presenting visual acuity (LogMAR [Logarithm of the Minimum Angle of Resolution] <0.3), for those who wore glasses or contact lenses, had a higher total family income, had more “academic”schooling, and were non-Muslim, reported higher utility values.
Another Singaporean study of 120 university myopic medical students aged 18 to 22 years examined time trade-off and standard gamble utility values for treatment of myopia. No relationship between utility values and severity of myopia was found. The utility values reported was higher (time trade-off 0.97 and standard gamble for death 0.99)14 than those obtained from other ophthalmic conditions, such as diabetic retinopathy and age-related macular degeneration, suggesting myopia may have less impact compared to other ocular conditions. Also, as the medical students included in this study differed in age, education level, religion, and race from the general adult population in Singapore, these results may not be generalizable to the population.
Data on the impact of myopia on vision-specific functioning (VSF) is also very scarce. A visual functioning questionnaire was used to assess the impact of myopia in rural Chinese secondary school children.15 In this cohort of middle school children, myopia was significantly and
