Ophthalmic examinations were conducted under the supervision of the Epidemiologic Survey Committee of the Korean Ophthalmological Society. This survey was reviewed and approved by the institutional review board of the Korea Centers for Disease Control and Prevention (KCDC), and all participants provided written informed consent. The study was conducted in accordance with the Declaration of Helsinki.

A detailed description of the sampling, enumeration, visual acuity, and ocular examination procedures was previously published [18]. All examinations and health interviews were conducted in mobile centers by trained team members, including ophthalmology residents or ophthalmologists.

Refractive errors and visual acuity were examined in subjects aged 5 years or older. Refractive error was measured three times using an autorefractor-keratometer (KR8800; Topcon, Tokyo, Japan) under non-cycloplegic conditions. Average values of the three refraction measurements were printed from the autorefractor and were recorded using a negative cylinder notation. Participants were excluded from analyses if any of the following was present: (1) aged less than 5 years; (2) a history of cataract surgery in the right eye; (3) a history of laser refractive surgery in the right eye; or (4) missing autorefractor data of the right eye due to lack of time, inability to comply with the protocol, or equipment malfunction. Prevalence was calculated using the refractive error data of 33,355 participants for the right eye only. The refractive data was converted to the spherical equivalent (SE), which was derived by adding the spherical component of the refraction to one-half the value of the cylindrical component. We defined myopia using two thresholds. For subjects aged 19 years or older, criteria were SE <-0.5 and <-1.0 diopters (D). Since non-cycloplegic autorefraction is likely to be overestimated in the young population, we used a more strict definition of myopia for subjects aged 5 to 18 years: SE <-0.75 rather than SE <-0.5 D, and SE <-1.25 rather than SE <-1.0 D. High myopia was defined and analyzed as an SE <-6.0 D. Hyperopia was defined as an SE >+0.5 D. Astigmatism was defined as a cylindrical error (Cyl) ≤-1.0 D, without reference to the axis. Astigmatism was defined as "with-the-rule" if the axis was between 0 and 15 or 165 and 180 degrees, as "against-the-rule" if the axis was between 75 and 105 degrees, and as "oblique" if the axis was from 16 to 74 degrees or 106 to 164 degrees. Additionally, we provided the prevalence of refractive errors using the KCDC definition of the other eye in the supplementary material. Another study population was selected to assess the KCDC definition of refractive errors of either eye. The KCDC defined refractive error as follows: myopia as SE ≤-0.75 D, hyperopia as SE ≥+1.0 D, astigmatism as Cyl ≤-0.75 D in either eye, and anisometropia as SE difference ≥2.0 D or as cylindrical difference ≥1.5 D between the eyes.

The analyzed sociodemographic variables were age, gender, household monthly income (lowest quintile/2nd to 4th quintile/highest quintile), highest educational level achieved (elementary school or lower/middle school/high school/college graduate or higher), and residential area (rural: town [eup], township [myeon], or neighborhood [dong]/urban: city [si], county [gun], and district [gu]). Quintiles of income were divided using the data from KNHANES 2008-2012 before the exclusion criteria were applied.

Basic study population characteristics were reported. To determine the age- and gender-standardized prevalence of refractive error, the prevalence was calculated according to the guidelines of the KNHANES 2008-2012 data analysis using a poststratification adjustment. Poststratified weight was calculated based on the response and extraction rates in order to reflect the distribution of the 2010 Korean population by age groups of 5-year intervals and by gender. Consequently, the sum of the weight according to KNHANES 2008-2012 was representative of the Korean population as of 2010. Data was analyzed using the survey procedure of Stata SE ver. 13 (Stata Co., College Station, TX, USA) to account for the sample design and sampling weight adjusted for oversampling and nonresponders. Multivariate logistic regression analysis including age, gender, household monthly income, education, and residential area was conducted to identify the sociodemographic risk factors of refractive errors. Adjusted odds ratios and 95% confidence intervals (CIs) were calculated. Only adults aged 19 years or older, assumed to be finished growing, were included for evaluating risk factors of various refractive errors. Results with p-values less than 0.05 were considered statistically significant.

A comparison of the demographic characteristics of the 33,355 subjects included in this study with those excluded from this study (n = 3,519) is provided in Table 1. Included participants were more likely to be younger, male, in a higher income group, and living in an urban area than those who were excluded from this analysis. Another study population for estimating prevalence of refractive errors using KCDC definition included 33,922 participants.

Table 2 provides the age- and gender-standardized prevalence of refractive errors in the right eyes. The prevalence with a 95% CI was determined for myopia (SE <-0.5 D, 51.9% [51.2 to 52.7]; SE <-1.0 D, 39.6% [38.8 to 40.3]), high myopia (5.0% [4.7 to 5.3]), hyperopia (13.4% [12.9 to 13.9]), and astigmatism (31.2% [30.5 to 32.0]) in all participants ≥5 years of age. The prevalence of myopia had a nonlinear distribution with the highest peak between the ages of 19 and 29 years, with a minor increase in subjects older than 70 years for both thresholds of myopia of -0.5 D and -1.0 D. High myopia showed a similar pattern to myopia, with the highest prevalence of 10.2% in the age group of 19 to 29 years, but without the minor increase in subjects over 70 years. The prevalence of hyperopia was lowest in subjects in their 30s (1.6%; CI, 1.2 to 2.1); it decreased with age in subjects aged 39 years or younger and then increased with age in subjects aged 40 years or older, with an abrupt increase in subjects aged 50 years or older. The prevalence of astigmatism gradually increased with age with a slight decrease around 30 to 39 year ages. Table 3 provides the prevalence of refractive errors using the KCDC definition.

Fig. 1 shows 100% stacked column charts of the refractive error distribution in the right eye by age group. Myopia was more prevalent in children, adolescents, and young adults, whereas hyperopia was more prevalent among very young children of 5 to 6 years of age, middle-age, and elderly subjects (Fig. 1A). Hyperopia showed a relatively lower prevalence of less than 5% from 12 to 49 years of age. The proportion of emmetropia between -0.5 and +0.5 D started at approximately 60% in children 5 to 6 years of age, decreased in adolescents 12 to 18 years old, increased to approximately 40% in subjects 50 to 59 years of age, and then decreased with increasing age thereafter. The prevalence of astigmatism generally increased with age, with a relatively low prevalence in the 30 to 39 year age group (Fig. 1B). Older adults were more likely to have "against-the-rule" astigmatism than were younger people (Fig. 1C).

Table 4 provides the sociodemographic factors associated with refractive errors according to multivariate analysis of participants aged 19 years or older, reported with odds ratio and 95% CI. Among participants ≥19 years of age, risk of myopia and high myopia decreased and that of hyperopia and astigmatism increased with age. Female gender, higher education level, and urban residence were associated with a higher risk of both myopia and high myopia, whereas those with higher education levels were at significantly lower risk of hyperopia. Female gender, higher household income, and higher education were significant protective factors against astigmatism.

The prevalence of myopia in children varies highly across regions, and our relatively high prevalence (73.0% in subjects between 12 and 18 years of age) was similar to those of other Asian countries, which have been shown to have some of the highest prevalence rates of myopia in the world [20]. A recent study of Sydney schoolchildren showed ethnic differences in myopia prevalence; children of East Asian ethnicity had a higher incidence of myopia than European Caucasian children [21]. The trend of increasing prevalence of myopia with increasing age in children and adolescents was explicitly evident in this study, which is also consistent with studies of children from China [61017], Taiwan [9], Chile [7], and Germany [14]. On the other hand, the prevalence of myopia in Nepal was lower than that of other countries, without clear increasing or decreasing trends [8]. These different tendencies in myopia prevalence by age in children might be caused by different myopia-driving socioenvironmental factors in different regions, such as urbanization with an increase of formal education.

Among the young adults aged 20 to 39 years, the prevalence of myopia and high myopia were higher compared to those of the white population in the United States [13], and this high prevalence was similar to other countries in Asia [2223]. Myopia and high myopia seem to be more prevalent in Asia compared to all races in the United States, especially in the younger generations [13]. Unlike the large differences in prevalence across regions among young adults aged 20 to 39 years, the prevalence of myopia in the 40 years or older age group seemed to be similar across regions; even when differences were noted by region, the difference was not large [5131524]. The overall pattern of prevalence of myopia being higher in younger adults and lower in the elderly in this study was consistent with that of urbanized populations of Singapore [512], southern India [25], and the white United States population [2]. Urbanization and economic development including increasing level of education combined with genetic susceptibility might contribute to increasing trends of myopia in younger generations compared to older generations in these areas. The prevalence changes across age groups in this report were similar to those of other developing countries in Asia, which might reflect the age-related prevalence pattern of myopia in Asian countries with similar levels of urbanization. A myopic shift due to cataract might explain the minor increase of myopia in the participants ≥70 years of age. This pattern has been shown consistently in several studies of different ethnic groups, including Japanese subjects [24], all three ethnic groups in Singapore [51216], Latinos in Los Angeles (United States) [26], and residents of Barbados [4].

A previous study comparing the prevalence of myopia in the United States between 1970 and 2000 revealed that the increase in the prevalence of myopia was more prominent in black participants than in white participants, and the researchers explained this by the increase of formal education, associated with associated with near work demands, in the black population [27]. The increased prevalence from around 20% in adults to over 70% in younger generations in this study can be explained using a cohort effect associated with urbanization and economic development combined with genetic susceptibility, rather than a direct effect of aging alone.

In Asia, the prevalence of hyperopia has been reported to be around 20% to 35% among adults [51228], which is similar to our data (24.9% in subjects, ≥40 years of age). When hyperopia was defined as SE ≥+0.5 D, the prevalence of hyperopia in the ≥40 years age group was about 20% greater than that of whites in Wisconsin, as reported by the Beaver Dam Eye Study (BDES) (49.0% in BDES; 28.0% in this KNHANES population, unpresented data) [2]. The prevalence of hyperopia, defined as SE >+0.5 D, was also higher in Australia (Blue Mountains Eye Study, BMES) [3] compared to Korea based on a similar age group of 44 years or older (55.6% in BMES; 36.5% in this KNHANES population, unpresented data). The low hyperopia prevalence in the 40 to 49 year age group (3.6%) might have contributed to this lower prevalence of hyperopia in Korean adults and can also be considered a result of a myopic shift in younger generations. The prevalence of hyperopia can be represented as a U-shaped curve, decreasing with age until the fourth decade, then abruptly increasing from the sixth decade onward (Table 2 and Fig. 1A). In children, the tendency of decreasing hyperopia with age was consistent with studies conducted in various other areas [61017]. In adults, the trend of increasing hyperopia prevalence with age was shown in the NHANES [13], both the Chinese and Malay populations of Singapore [512], Sumatra [28], Germany [14], and the Baltimore Eye Study [29], although the specific ages for the beginning and end of the shifts varied across studies. Other epidemiologic studies have reported that, after the age of 60 years, the prevalence of hyperopia is no longer associated with age [2342930]. In Korea, the cataract surgery rate among the population in their 80s is almost 50% [31]. Therefore, the hyperopia prevalence might have been overestimated in our elderly subjects because severe cataracts that drive a myopic shift were more likely to have been removed by cataract surgery, and therefore, excluded from this study.

Astigmatism (Cyl, ≤-1.0 D) was found in 14.1% of the Korean population aged 5 to 6 years. Among children aged less than 6 years, ethnic differences in the prevalence of astigmatism seem to exist, as Caucasians were less likely to have astigmatism compared to other ethnicities [32]. Astigmatism (Cyl, ≤-1.0 D) was found in 36.1% of this Korean population aged 40 years or older, which was similar to the prevalence found in adults in Sumatra (35.8%) [28] and the whole adult population of the NHANES in 1999 to 2004 (31.0%) [13] and slightly higher than that of the Singapore Malays (27.8%) and lower than that of the Singapore Chinese population (44.2%) [28]. The prevalence of astigmatism demonstrated an increasing trend with age, which is consistent with previous studies [111229].

In our population, "with-the-rule" astigmatism was dominant in children and young adults, and the proportion of "against-the-rule" astigmatism increased with age after young adulthood. This trend was also reported in southern India [25]. It is not possible to make a direct conclusion about lifetime changes in astigmatism from this cross-sectional study; however, our results indicate that "against-the-rule" astigmatism is caused by changes related to aging.

This study confirmed the associations between age, household monthly income, education, and residential area and various refractive errors. Age and education were associated with all types of refractive errors. Women, those with a higher education level, and those living in an urban area were more likely to be myopic. It is difficult to form a firm conclusion regarding the association between gender and myopia prevalence considering the inconsistent results reported in previous studies [25111213]. Higher education [512132930] and urban residence [11] were generally considered risk factors for myopia, and our results support this association. Some studies, including the NHANES [13], the Tanjong Pagar Survey [5], and the Sumatra Eye Study [28], found that higher income is associated with an increasing prevalence of myopia; however, the present study did not show a significant association. Respondents with a higher level of education were less likely to have hyperopia in this study. Hyperopia was also reported to have a lower prevalence in respondents with a higher educational level in the Singapore Malay Eye Survey [12] and the Sumatra Eye Study [28]; however, the Meiktila Eye Study performed in rural Myanmar [33] reported a higher prevalence of hyperopia in subjects with higher education. In terms of astigmatism, higher educational level was associated with lower prevalence of astigmatism in our results. The Sumatra Eye study found no significant relationship between education level and astigmatism [28], whereas the Beijing Eye Study showed that astigmatism was associated with a low educational background [11].

The major strength of this study is that it used a large-scale, population-based sample that represents the entire general South Korean population across all ages. We report the prevalence of refractive errors, on behalf of the Epidemiologic Survey Committee of the Korean Ophthalmological Society, using data from 33,355 participants including all age groups ≥5 years, including the entire ophthalmic data of the KNHANES series. Our study has several limitations. As previously stated, the prevalence of myopia in children could have been overestimated, since cycloplegic refraction could not be performed due to the time constraints imposed by the comprehensive KNHANES examination. Accommodation might have affected the refractive error measurement, particularly in young children, although the autorefractor used an auto-fogging technique to minimize accommodation. Consequently, the prevalence of myopia could have been overestimated and that of hyperopia could have been underestimated in these young children [34]. However, the difference in refractive error caused by accommodation is likely not very large; a previous large epidemiologic study on Beijing children reported that the mean difference in autorefractometry with or without cycloplegia was only 0.29 ± 0.40 D in myopic eyes (SE <-0.5 D) [35]. Nonetheless, we used a higher SE value to define myopia, i.e., SE ≤-1.0 rather than ≤-0.75 D, in children and adolescents (aged 5 to 18) in order to minimize overestimation of myopia prevalence due to non-cycloplegic autorefraction. Second, the characteristics of participants were different from those of nonparticipants; KNHANES 2009-2012 participants who were included in this study were more likely to be young, male, in a higher income group, and living in an urban area than were those who were excluded from this study. However, we presented our results based on our inclusion criteria, and analyses of the subjects who had undergone ophthalmologic surgery that would affect refractive errors such as cataract surgery or laser refractive surgeries were excluded from our investigation, as has been done in other epidemiological studies.

In conclusion, we provide the prevalence of refractive errors in all age groups ≥5 years using a national representative sample. Our findings demonstrated that the prevalence of myopia was higher and that the prevalence of hyperopia was lower than those previously reported in Western countries. The prevalence of myopia was much higher in adolescents and young adults compared to the other age groups, which is consistent with that of other East Asian countries.