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From The Ohio State University College of Optometry, Columbus, Ohio.
| Abstract |
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METHODS. Prevalence data were taken from three studies conducted in the late 1980s and compared with those obtained indirectly from a national survey conducted in the early 1970s. The prevalence of myopia was then plotted as a function of age and year of birth.
RESULTS. The pattern of change in the prevalence of myopia as a function of age was consistent across all studies when data were scaled relative to the prevalence of myopia at age-range midpoints from 44.5 to 49.5 years. The pattern of change was not consistent as a function of year of birth. When the data were scaled relative to the prevalence of myopia among those with years of birth from 1940 to 1942 and plotted by year of birth, results from the early 1970s were offset from those of later studies by approximately 18 years.
CONCLUSIONS. The decline in the prevalence of myopia in older adults between the early 1970s and the late 1980s can be better explained by age than by year of birth. The prevalence of myopia appears to decrease because of an intrinsic age-related decrease in the amount of an individuals myopia rather than because of a cohort effect of increasing prevalence over time. The hypothesis that increasing environmental exposures to near work in recent decades have changed the prevalence of myopia is not supported by this analysis.
| Introduction |
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All three of these studies were performed within a narrow span of time in the mid- to late 1980s. Beaver Dam Eye Study data were collected in 1987 and 1988, the Baltimore Eye Survey was conducted from January 1985 through November 1988, and Framingham Offspring Eye Study examinations were conducted from May 1989 through October 1991.1 2 3 To distinguish between the two alternative explanations for changing myopia prevalences with age, we examined similar data collected during another period. Sperduto et al.4 reported the prevalence of myopia as a function of age using National Health and Nutrition Examination Survey (NHANES) data collected in 1971. These prevalences are nearly constant across ages in adults, from 27.7% of the right eyes of those 18 to 24 years of age to 24.8% of the right eyes of those 45 to 54 years of age.4 Unfortunately, Sperduto et al. did not report on ages older than 54 years. These are the ages at which The Baltimore Eye Survey and The Beaver Dam Eye Study begin, with the decline in prevalences occurring after these ages.1 2 3 The original reports of NHANES data do not stop between ages 45 to 54, however. They are available in tabular form to allow for estimation of trends in adults from ages 25 to 74 years.5 We therefore compared the prevalence of myopia from these three recent large studies to NHANES data obtained in 1971 as a function of both age and year of birth to determine which of the two alternative hypotheses better explains the data: a cohort effect of changing prevalence by decade or a longitudinal effect of changing prevalence as a function of age.
| Methods |
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The prevalences of myopia in each study were plotted by age and by year of birth and then examined for consistency of change between studies within each of these plots. If there were a cohort effect and the prevalence of myopia increased over time, the prevalence of myopia should be lowest for subjects born earlier in the century (1920, for example) and then should increase in a consistent manner to the highest prevalences for subjects born around 1940 who share common environmental exposures such as postWorld War II prosperity and the introduction of television. A cohort effect would be inferred from a consistent pattern of change between studies in a plot by year of birth. In contrast, if a longitudinal effect of age were more important, then the prevalence of myopia should be highest for the youngest ages and then should decrease in a consistent manner to the lowest prevalences in the oldest subjects. A longitudinal effect of age would be inferred from a consistent pattern between studies in a plot by age. Because the NHANES data are from the early 1970s and the other studies are from the late 1980s, separated in time by approximately 18 years, a cohort effect would cause the NHANES data to be offset from those in the other studies in the age plot. The opposite would occur for a longitudinal age effect; the NHANES data would be offset from the others in a plot by year of birth (Table 2) .
| Results |
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| Discussion |
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As in Sperduto et al.,4 the only exclusions were for missing or incomplete data; subjects were not excluded from NHANES data on the basis of acuity or disease, including cataract. A bias toward a hyperopic shift with age may be created by cataract removal. The shift in the distribution of correcting powers for NHANES data were on the order of 3 D, from moderate myopia to low hyperopia, or from low myopia to moderate hyperopia. This magnitude of change was well below what would be expected from cataract extraction. Intraocular lens implantation could create near emmetropia after cataract surgery but was not in common practice in 1971 and is therefore an unlikely source of erroneous "emmetropization." The impact of cataract surgery as judged from the increase in high plus corrections appears to be small, increasing from 1.8% of corrections at age 49.5 to 4.6% at age 69.5 years.5 Cataract extraction was not an issue in the other three studies, because subjects eyes were phakic.1 2 3
Both our analysis and that of Sperduto et al.4 draw on NHANES data, yet prevalences calculated in Table 1 are generally higher by approximately 7 to 10 percentage points than those reported by Sperduto et al.4 There are three sources of missing data in NHANES that may be responsible for these differences. Only 35 groups of subjects of the planned 65 groups, or stands, received eye examinations.5 Medical history data for the full 65-stand sample used in Table 1 and the 35-stand subsample are very consistent, however, resulting in similar estimates of the percentage wearing a correction. Within the 35-stand sample, 27.2% of subjects were not examined.5 It was assumed that matching for age, sex, race, and income class replaced missing data in an unbiased fashion. A third source of missing data occurred because approximately 15% of subjects either had missing data or wore no glasses, had acuity from 20/25 to 20/40 that improved with a pinhole, did not undergo measurement of refractive error, and were therefore excluded from the analysis. Roughly 4% of subjects had insufficient refractive data,5 placing perhaps 11% of subjects in the latter category. Bias from excluding subjects who would be expected to have low degrees of myopia was reported to be small, estimated at approximately 1%, but the authors acknowledge that "there is no substitute for complete ascertainment."4 Any of these people who had glasses but did not bring them to the examination would have been included as glasses wearers in the NHANES medical history and as myopes in our analysis of NHANES data but would have been excluded by Sperduto et al.4 Additionally, the roughly 4% of subjects with insufficient refractive data represent between 7.5% and 18.9% of subjects known to wear a correction.5 Again, these people would be represented as glasses wearers in our analysis but would have been excluded by Sperduto et al.4 It is difficult to estimate the precise impact of these missing data, but it may in part account for the 7- to 10-percentage-point difference seen in Figure 1 . It is encouraging that these data follow a pattern similar to those from Sperduto et al.4 We therefore assume that scaling the data relative to the prevalence in a reference group results in an unbiased picture of change as a function of age, regardless of the source of the differences in prevalence for any one age group.
Our conclusions are based on comparison of several studies and are therefore more limited than if the data were drawn from a single study or were longitudinal. These studies differ in their sampling methods, in the regions of the country sampled, and possibly other sample demographics, and in measurement methods. The definition of myopia differed in magnitude, or was based on various criteria such as wearing glasses, on the self-report of wearing glasses, or on measured refractive error. The selection of ages for comparison was not always clear. The Framingham Offspring Eye Study included younger subjects, making the selection of the reference age somewhat arbitrary but perhaps not critical. Although these data could have been scaled with age 39.5 years serving as the reference group instead of 49.5 years, this would have resulted in a poorer fit by approximately 5 years on the x-axis for both Figures 3A and 3B , pointing to the same conclusion.
Another interesting feature of the Framingham Offspring Eye Study is the high prevalence of myopia among the young (>50%) even with a conservative criterion for myopia.3 These data suggest that the prevalence of myopia may be increasing for those born after 1940 and may be coupled with a continual age-related decline. It should be acknowledged that our analysis can not rule out simultaneous cohort effects. Increases in the prevalence of myopia in more recent birth cohorts could be obscured by our recalculation of relative prevalences. Although some simultaneous cohort effect is possible, it seems unlikely to be a major one. Increasing prevalences in more recent birth cohorts would be inconsistent with the narrow range of prevalences found for similar birth years in the larger sample from NHANES (Fig. 2) . The precise source of the divergence between these studies is unknown, but one possibility is accommodative effects in younger subjects from noncycloplegic autorefraction used in the Framingham Offspring Eye Study. It is possible that a subject may be classified incorrectly as myopic because of instrument-induced accommodation, although he or she neither wears glasses nor has reduced uncorrected acuity. The impact on this current analysis should be minimal, because accommodative autorefractor effects would be expected to disappear with presbyopia. Despite the acknowledged limitations of our approach, it appears more likely that the roughly 2.5 times decrease in the prevalence of myopia among those 45 to 75 years old is predominantly, although perhaps not exclusively, an age-related change rather than a cohort effect.
National surveys of refractive error seem worthwhile investments from a public health standpoint of understanding the need for eye care but also for providing more precise information regarding the nature and cause of these trends. Asian countries such as Singapore report an increasing prevalence of myopia among nonpresbyopic adult males.10 Intense near work demanded by the reading and study that accompany an increasing level of education are cited as possible reasons for this increase in prevalence. Concerns about the possible effects of near work and education are shared by researchers in the United States, although all admit it is difficult to separate the effects of near work from hereditary factors.1 3 10 Determining whether prevalences among young adults are indeed constant over time will place a valuable perspective on whether computer use, playing video games, watching television, reading, and performing other forms of close work increase the risk of myopia. The increasing number of refractive surgeries performed in the United States also adds value to understanding the behavior of refractive error throughout a persons lifetime. It is to be hoped that future surveys on the scale of NHANES will continue to examine trends in refractive error across the lifetime of increasingly "graying" Americans. Our analysis of data from the United States suggests that the age-related decline in the prevalence of myopia is more an intrinsic feature of aging than evidence for the impact of changes in near work demands over the years.
| Footnotes |
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Commercial relationships policy: N.
Corresponding author: Donald O. Mutti, The Ohio State University College of Optometry, 338 West 10th Avenue, Columbus, OH 43210-1240. mutti.2{at}osu.edu
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