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01.04.2015 | OPHTHALMIC EPIDEMIOLOGY | Ausgabe 4/2015 Open Access

European Journal of Epidemiology 4/2015

Prevalence of refractive error in Europe: the European Eye Epidemiology (E3) Consortium

Zeitschrift:
European Journal of Epidemiology > Ausgabe 4/2015
Autoren:
Katie M. Williams, Virginie J. M. Verhoeven, Phillippa Cumberland, Geir Bertelsen, Christian Wolfram, Gabriëlle H. S. Buitendijk, Albert Hofman, Cornelia M. van Duijn, Johannes R. Vingerling, Robert W. A. M. Kuijpers, René Höhn, Alireza Mirshahi, Anthony P. Khawaja, Robert N. Luben, Maja Gran Erke, Therese von Hanno, Omar Mahroo, Ruth Hogg, Christian Gieger, Audrey Cougnard-Grégoire, Eleftherios Anastasopoulos, Alain Bron, Jean-François Dartigues, Jean-François Korobelnik, Catherine Creuzot-Garcher, Fotis Topouzis, Cécile Delcourt, Jugnoo Rahi, Thomas Meitinger, Astrid Fletcher, Paul J. Foster, Norbert Pfeiffer, Caroline C. W. Klaver, Christopher J. Hammond
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1007/​s10654-015-0010-0) contains supplementary material, which is available to authorized users.
On behalf of the European Eye Epidemiology Consortium (E3).

Introduction

Refractive error occurs when there is failure of the eye to correctly focus rays of light from an object onto the retinal plane. The resultant image perceived by the individual is blurred and refractive correction is required in order to see clearly. Refractive error can be divided into myopia (‘short or near-sightedness’), hyperopia (‘long or far-sightedness’) and astigmatism. In myopia, light is focussed to a point anterior to the retina as a result of excessive refraction at the cornea or lens, or, more commonly, an increased length of the eye (‘axial myopia’). In hyperopia, the reverse occurs with an image forming posterior to the retinal plane as a result of either inadequate refraction or a short axial length. In astigmatism, the refractive power of the eye is uneven across different meridians.
Refractive error requires detection and treatment in the form of glasses, contact lenses or, more recently, refractive surgery. These clinical services are readily available in most European countries, although they come with significant financial implications to both national health care systems and to individuals [ 1]. However, uncorrected refractive errors are still responsible for up to 42 % of the cases of visual impairment worldwide [ 2], and remain prevalent even in high income countries [ 36]. Uncorrected refractive error in both low and high-income countries has significant economic implications in terms of potential lost productivity [ 7].
The magnitude of refractive error in developed countries within individuals of European descent has been estimated by the Eye Diseases Prevalence Research Group, 10 years ago, and the US National Health and Nutrition Examination Survey (NHANES) data [ 3, 8]. However, the estimate of refractive error burden in Europe was based on a single cohort [ 9]. The European Eye Epidemiology (E 3) consortium is a collaborative initiative between thirty-three cohort studies across Europe, to share and meta-analyse epidemiological data on eye disease in adults. The aim of the current study was to provide more current and precise estimates of the prevalence of refractive error across Europe.

Materials and methods

Studies and participants

To date, E 3 has data from thirty-three studies with a range of ophthalmic data on approximately 124,000 individuals from population-based and case–control studies. This study drew on the fifteen E 3 population-based cohort and cross-sectional studies that collected refractive error data (n = 68,350). As described in Table  1, participants included in this meta-analysis were largely from Northern and Western Europe, mainly of middle to late age, and refractive error measurements were performed between 1990 and 2013. Three studies recruited participants nationally and the remaining twelve recruited from a local population. Further detail on individual study design and sampling method is provided in the supplementary information; broadly, the majority of study samples were obtained by identification of potential participants (within defined age bands and/or regions) using local registries, with some studies using random sampling (n = 3). All studies adhered to the tenets of the Declaration of Helsinki, and relevant local ethical committee approvals with specific study consent were obtained.
Table 1
Description of the 15 European Eye Epidemiology consortium studies included in this meta-analysis of refractive error
Study
Data collection period
Study design
Total with refraction
Refraction method
Exclusions (cataract surgery)
Total included
Median age, years (range)
Gender, % female
Ethnicity, % European (% Unknown)
Crude myopia prevalence, %
Crude hyperopia prevalence, %
Northern Europe
 1958 British birth cohort, UK
2002–2003
Population-based birth cohort (N)
2502
Autorefraction
7 (0)
2495
44 (44–46)
51.7
98.0 (9.2)
48.7
8.8
 EPIC-Norfolk, UK
2004–2011
Population-based cross-sectional study (L)
8508
Autorefraction
1110 (971)
7444
67 (48–92)
54.5
99.7 (0)
23.0
39.4
 Tromsø eye study, Norway
2007–2008
Population-based cohort (L)
6565
Autorefraction
773 (700)
5792
61 (38–87)
55.9
NA (100)
19.4
33.7
 TwinsUK, UK
1998–2010
National twin cohort (N)
6245
Autorefraction
161 (61)
6095
55 (16–85)
91.2
98.2 (23.9)
31.4
26.0
Southern Europe
 Thessaloniki eye study, Greece
1999–2005
Cross-sectional population-based study (L)
2259
Subjective
316 (303)
1952
69 (60–94)
44.7
100 (0)
14.2
39.4
Western Europe
 ALIENOR, France
2006–2008
Population-based cohort (L)
951
Autorefraction
333 (318)
618
79 (73–93)
56.6
NA (100)
16.7
53.6
 ERF, Netherlands
2002–2005
Family-based cross-sectional study (L)
2708
Subjective
46 (45)
2662
49 (14–87)
55.1
100 (0)
21.2
27.4
 Gutenberg health study, Germany
2007–2012
Population-based cohort (L)
14,679
Autorefraction
610 (610)
14,069
54 (35–74)
49.4
NA (100)
31.9
23.9
 KORA, Germany
2004–2005
Population-based cohort (L)
3078
Autorefraction
706 (177)
2372
55 (35–84)
50.4
100 (0)
36.1
24.0
 Montrachet, France
2009–2013
Population-based cohort (L)
1143
Autorefraction
584 (562)
576
81 (76–92)
57.5
NA (100)
19.1
51.1
 Rotterdam Study I, Netherlands
1990–1993
Population-based cohort (L)
6748
Subjective
182 (172)
6566
68 (55–106)
59.3
98.5 (2.0)
16.4
52.3
 Rotterdam Study II, Netherlands
2000–2002
Population-based cohort (L)
2689
Subjective
110 (110)
2579
62 (55–99)
54.8
87.8 (0.1)
21.9
45.7
 Rotterdam Study III, Netherlands
2005–2008
Population-based cohort (L)
3624
Subjective
94 (74)
3530
56 (46–97)
56.3
NA (100)
32.5
28.8
 POLA, France
1995–1997
Population-based cohort (L)
2464
Autorefraction
157 (128)
2315
70 (60–93)
55.8
NA (100)
16.2
53.0
Mixed
 EUREYE: Norway, UK, France, Italy, Greece and Estonia
2000–2002
Population based cross-sectional survey in seven cities (L)
4187
Autorefraction or focimetry with subjective refraction
1305 (517)
2882
72 (65–95)
56.7
NA (100)
15.6
59.2
 Total cohort
1990–2013
 
68,350
 
6404 (4748)
61,946
62
57.6
98.1
25.8
34.4
Myopia ≤−0.75 diopters (D), hyperopia ≥1D, N national, L local

Inclusion and exclusion criteria

Studies in the E 3 consortium were eligible for inclusion in this analysis if they were population-based, and data on refraction, together with age at measurement and year of birth, were available. Study participants were excluded if they were identified as having had cataract surgery, retinal detachment, refractive surgery or other factors that might influence refraction (e.g. keratoconus), at the discretion of each study’s analysis team.

Demographic and outcome variables

All included studies measured non-cycloplegic refraction (i.e. no dilating drops were used) using the technique of subjective refraction, autorefraction or a combination of focimetry (measuring an individuals glasses) or autorefraction followed by subjective refraction (Table  1). Participant’s spherical equivalent (SE) was considered as the mean SE of the two eyes calculated using the standard formula (SE = sphere + (cylinder/2)). Refractive error was categorized using the following definitions: myopia ≤−0.75 diopters (D), low myopia ≤−0.75 to >−3D, moderate myopia ≤−3D to >−6D, high myopia ≤−6D, hyperopia ≥1D, high hyperopia ≥3D and astigmatism ≥1D. Definitions of myopia vary in the literature; the cut-off of −0.75D was chosen as unaided visual acuity at this level approximates 0.3 LogMAR (Logarithm of the Minimum Angle of Resolution) [ 10], a commonly used driving standard, and this has been used in recent international meta-analyses of the genetic epidemiology of refractive error and myopia [ 11].
Differences in age (in 5 year age bands from ≥15 to ≥90 years), gender (male/female) and geographical European region were examined. Geographical variations in the prevalence of myopia were investigated by dividing countries in three areas (Northern, Western and Southern Europe) according to the United Nations Geoscheme [ 12]. Information on ethnicity, when available, was recorded using a modified classification system based on genetic ancestry [ 13].

Statistical analysis

Study specific summary data were obtained. A random effects meta-analysis was performed for spherical equivalent and repeated for refractive classifications overall and stratified by age. This enabled calculation of pooled estimates of refractive error prevalence, with studies weighted by sample size and between-study variance and a summary estimate standard error calculated from the inverse sum of the adjusted weights. A random effects model was chosen over a fixed effects model, to allow for heterogeneity in study design characteristics.
Age-standardised prevalences were calculated using the following steps: firstly, age-specific prevalences were estimated using random-effect meta-analyses. Secondly, an age-standardisation with adjustments to age-specific estimates according to the European Standard Population 2010 was performed [ 14]. This enabled refractive error prevalence estimates that are representative for the European population, with appropriate weighting to the age demographic distribution of Europe.
Subsequent random effects meta-analyses were performed with stratification by age and gender, and subsequently age and geographical region, with differences between groups evaluated using ANOVA tests.
Statistical analysis was performed using Stata version 13.1 (StataCorp. 2013. Stata Statistical Software: Release 13. College Station, TX: StataCorp LP). Graphical outputs were obtained using either Stata or ggplot2 [ 15] in R (R Core Team (2014). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://​www.​R-project.​org).

Results

Fifteen studies contributed a total of 61,946 individuals after exclusions (Fig.  1). The median age of the included populations ranged from 44 to 78 years old (Table  1). There was a slight female predominance in the combined study (57.6 % females). Data on ethnicity was only available for 50 % of participants, and in these there was minimal ethnic diversity (98 % European ancestry), so no further analysis of ethnicity was carried out.
The distribution of refractive error displayed a leptokurtotic distribution (Fig.  2), with a median spherical equivalent of 0.56D (range −25.13–22.19). The distribution was asymmetric with a greater frequency of individuals with a negative refractive error.
Given there were only 314 participants aged 15–24 years and 156 >90 years of age, subsequent analyses are limited to those aged ≥25 and <90 years (n = 61,476). The overall myopia prevalence in our meta-analysis was 24.2 % (95 % confidence interval (CI) CI 19.9–28.5), with a European age-standardised myopia prevalence of 30.6 % (95 % CI 30.4–30.9; Table  2). Myopia was most common in younger participants [peaking at 47.2 % (95 % CI 41.8–52.5) in those aged 25–29 years], almost double the prevalence of those of middle and older age [27.5 % (95 % CI 23.5–31.5) in those aged 55–59 years; Fig.  3a]. Point estimates of myopia prevalence in those aged 15–19 years were 27.4 % (95 % CI 17.0–37.8), increasing to 34.2 % (95 % CI 27.9–40.6) in those aged 20–24 years. All degrees of myopia followed a similar pattern of higher prevalence in the younger cohorts, lower prevalence in the middle aged and more elderly participants, and an increase in the very eldest participants, albeit with wide CIs, most likely related to cataract development. Age-standardised prevalence of high myopia across all age groups was 2.71 % (95 % CI 2.69–2.73), with 3–5 % of young to middle-aged individuals affected and 1–2 % of older individuals (Fig.  3b).
Table 2
Prevalence of myopia, hyperopia and astigmatism stratified by age
Age
n
Myopia, % (95 % confidence intervals)
Hyperopia, % (95 % confidence intervals)
Astigmatism, % (95 % confidence intervals)
All myopia ≤−0.75D (n = 15,845)
Low myopia ≤−0.75 to >−3D (n = 10,034)
Moderate myopia ≤−3 to >−6D (n = 4383)
High myopia ≤−6D (n = 1445)
All hyperopia ≥+1D (n = 21,201)
High hyperopia ≥+3D (n = 4494)
All astigmatism ≥D (n = 15,496)
25–29
339
47.2 (41.8–52.5)
26.5 (21.8–31.2)
14.1 (5.1–23.2)
5.3 (2.9–7.7)
6.4 (3.8–9.0)
1.1 (0.0–2.2)
16.2 (12.3–20.1)
30–34
469
38.3 (22.6–53.9)
25.5 (16.7–34.2)
9.4 (4.2–14.6)
3.2 (1.5–4.9)
5.5 (3.4–7.5)
1.8 (−1.1–4.6)
18.2 (14.3–22.0)
35–39
2354
40.1 (29.2–51.0)
25.8 (15.5–36.0)
10.0 (7.9–12.1)
3.7 (1.3–6.1)
5.8 (3.0–8.6)
1.4 (0.5–2.3)
16.2 (14.5–17.9)
40–44
5552
40.2 (32.0–48.5)
27.5 (19.7–35.3)
9.6 (7.0–12.3)
3.3 (1.8–4.8)
7.9 (6.3–9.5)
2.2 (1.6–2.7)
15.7 (13.2–18.1)
45–49
4108
37.1 (29.4–44.7)
25.1 (18.8–31.4)
9.0 (6.5–11.4)
2.9 (1.8–4.0)
10.3 (7.5–13.2)
2.4 (1.7–3.1)
17.0 (15.1–18.8)
50–54
5684
33.6 (29.6–37.6)
20.9 (18.6–23.2)
9.8 (8.0–11.6)
2.7 (1.4–4.0)
18.0 (15.6–20.4)
3.3 (2.6–3.9)
20.1 (16.3–23.8)
55–59
8294
27.5 (23.5–31.5)
16.6 (14.2–18.9)
8.3 (6.6–9.9)
2.5 (1.9–3.1)
31.2 (27.5–34.9)
5.7 (4.6–6.8)
22.5 (18.2–26.9)
60–64
10,594
21.4 (17.5–25.2)
13.0 (10.9–15.2)
6.0 (4.5–7.4)
2.0 (1.4–2.7)
31.2 (27.5–34.9)
7.5 (6.0–9.0)
25.2 (20.3–30.0)
65–69
9445
15.9 (13.7–18.1)
9.8 (8.4–11.2)
4.7 (3.7–5.7)
1.4 (1.1–1.6)
50.2 (46.1–54.3)
9.7 (8.2–11.1)
28.0 (22.0–34.0)
70–74
7674
13.9 (11.9–15.9)
9.3 (7.8–10.9)
3.4 (2.8–4.0)
1.0 (0.6–1.5)
54.3 (50.4–58.1)
12.8 (9.9–15.7)
33.8 (26.6–41.1)
75–79
4211
15.9 (13.4–18.4)
10.2 (8.5–11.8)
3.9 (2.9–5.0)
1.5 (1.0–1.9)
56.3 (52.1–60.4)
12.8 (9.9–15.7)
44.3 (33.6–55.0)
80–84
2069
17.8 (15.2–20.3)
11.5 (10.1–12.9)
3.8 (2.7–4.9)
1.5 (1.0–2.1)
52.8 (47.9–57.7)
12.0 (9.7–14.3)
51.1 (40.4–61.8)
85–89
683
17.9 (14.0–21.8)
12.4 (9.0–15.8)
3.4 (2.0–4.8)
1.4 (0.4–2.3)
49.2 (42.5–55.9)
13.4 (8.4–18.5)
54.9 (42.9–66.8)
Age standardised prevalence (n = 61,476)
30.60 (30.36–30.85)
19.50 (19.35–19.65)
8.08 (8.01–8.14)
2.71 (2.69–2.73)
25.23 (25.03–25.43)
5.37 (5.33–5.41)
23.86 (23.67–24.05)
D diopters
Overall prevalence of hyperopia was 34.7 % (95 % CI 27.9–41.6), with an age-standardised prevalence of 25.2 % (95 % CI 25.0–25.4). There was less hyperopia in young participants [6.4 % (95 % CI 3.8–9.0) in those aged 25–29 years], compared to those in middle to older age [31.2 % (95 % CI 27.5–34.9) in those aged 55–59 years] although hyperopia rates declined after 75 years of age. The prevalence of high hyperopia followed a similar pattern, affecting 1–3 % of younger and 10–13 % of older individuals (Fig.  3c). Across all ages, the prevalence of astigmatism was 27.3 % (95 % CI 22.6–32.1) with an age-standardised estimate of 23.9 % (95 % CI 23.7–24.1). The prevalence of astigmatism remained fairly stable at 15–25 % in young and middle-aged participants [17.0 % (95 % CI 15.1–18.8) in those aged 45–49 years]. However, in participants over 65 years of age, astigmatism became more common [51.1 % (95 % CI 40.4–61.8) in those aged 80–84 years; Fig.  3d].
Age- and gender- specific analyses for myopia, hyperopia and astigmatism are reported in Table  3. There were no significant differences in myopia prevalence between men and women across age strata. However, overall there was a significantly higher prevalence of astigmatism in men ( p = 0.001), with a mean difference of 3.8 % across all ages, and a significantly higher prevalence of hyperopia in women ( p = 0.04) with a mean difference of 2.5 % across all ages.
Table 3
Prevalence of myopia, hyperopia and astigmatism stratified by age and gender
Age
n
Myopia, ≤−0.75D (95 % confidence intervals)
Hyperopia, ≥+1D
(95 % confidence intervals)
Astigmatism, ≥1D (95 % confidence intervals)
Women
Men
Women
Men
Women
Men
Women
Men
25–29
278
59
47.9 (40.0–55.8)
40.2 (22.7–57.8)
6.1 (6.1–6.2)
11.2 (−1.5–23.8)
14.9 (12.0–17.7)
19.6 (15.9–23.3)
30–34
307
160
40.3 (32.6–47.9)
41.7 (10.7–72.7)
4.3 (0.0–8.6)
5.2 (2.9–7.5)
15.0 (6.7–23.2)
22.4 (19.4–25.5)
35–39
1352
1004
40.2 (30.5–49.8)
40.9 (26.2–55.5)
5.6 (3.0–8.1)
6.5 (3.8–9.2)
14.3 (11.7–16.9)
14.9 (11.1–18.7)
40–44
2989
2561
39.8 (31.4–48.2)
42.0 (33.4–50.6)
7.9 (6.6–9.1)
8.4 (7.0–9.8)
14.8 (12.5–17.1)
18.7 (16.3–21.0)
45–49
2258
1849
37.1 (29.8–44.3)
37.1 (25.8–48.3)
11.4 (9.1–13.8)
8.3 (6.6–9.9)
16.3 (14.4–18.2)
17.1 (16.0–18.2)
50–54
3369
2315
34.1 (30.0–38.3)
33.0 (27.7–38.3)
19.1 (17.6–20.7)
17.3 (15.1–19.5)
19.9 (15.8–23.9)
20.9 (16.9–25.0)
55–59
5086
3206
25.8 (21.6–30.1)
29.8 (23.7–35.9)
32.6 (29.8–35.5)
30.6 (25.9–35.2)
20.9 (17.8–23.9)
25.5 (18.8–32.1)
60–64
6364
4226
19.1 (15.9–22.3)
20.7 (17.0–24.4)
43.7 (38.8–48.6)
36.1 (31.9–40.2)
21.8 (18.5–25.1)
24.4 (19.4–29.4)
65–69
5207
4237
14.5 (12.0–17.1)
16.6 (14.2–18.9)
52.3 (48.2–56.4)
48.4 (44.7–52.1)
25.9 (20.9–30.9)
32.1 (26.3–37.8)
70–74
4110
3562
14.2 (12.2–16.2)
14.3 (12.3–16.3)
55.8 (52.2–59.4)
55.0 (51.5–58.5)
31.4 (25.5–37.3)
38.3 (31.5–45.1)
75–79
2290
1920
14.3 (11.5–17.0)
17.7 (14.9–20.5)
58.0 (55.3–60.6)
52.3 (48.0–56.7)
39.9 (35.1–57.2)
46.2 (35.1–57.2)
80–84
1158
911
15.8 (12.8–18.7)
18.7 (16.2–21.3)
57.6 (53.0–62.2)
47.8 (42.6–53.0)
50.0 (37.6–62.4)
55.8 (46.3–65.3)
85–89
419
264
19.6 (13.2–25.9)
16.1 (11.7–20.5)
50.7 (43.5–57.9)
45.0 (37.9–52.0)
55.5 (40.3–70.6)
53.8 (40.2–67.3)
p diff between groups (ANOVA)
   
0.603
0.042
0.001
D diopters
Differences in the myopia prevalence between different European regions, according to the UN European Geoscheme, were examined. Only one cohort contributed to the Southern European division (Thessaloniki Eye Study, Greece), with participants all over the age of 60 years, thus the majority of the studies were in Northern and Western regions. The prevalence of myopia did not differ between Northern and Western countries and followed a similar pattern across all age groups. The single Southern participant cohort appeared to have a higher level of myopia in its older participants when compared to Northern and Western countries, however there were large CIs for these estimates (80–84 year-old myopia prevalence in North 13.6 % (95 % CI 9.3–18.0), West 18.0 % (95 % CI 16.1–21.1) and South 29.1 % (95 % CI 19.1–39.1). Overall there were no significant differences across age strata between the three regions of Europe studied ( p = 0.70).

Discussion

Meta-analysed data from fifteen population-based adult cohort and cross-sectional studies across Europe indicated age-standardised prevalence of 30.6 % for myopia, 25.2 % for hyperopia and 23.9 % for astigmatism. This meta-analysis usefully incorporates data from across Europe and is not limited to a particular place or age group. The most significant burden of refractive error within Europe was from myopia.
A clear trend of higher levels of myopia in younger individuals was identified, with a rising prevalence during late teens and 20 s reflecting the known natural history of the condition [ 16]. The peak prevalence of myopia was identified in the 25–29 years age group (47.2 % (95 % 41.8–52.5). In older individuals, the prevalence of myopia was lower, for example 15.9 % (95 % CI 13.7–18.1) in those aged 65–69 years old. This may reflect the rising prevalence of myopia in younger generations, or the known hyperopic shift in aging [ 17, 18]. In our aged 75 or over participants, there was an increase in myopia prevalence. While we aimed to exclude those having undergone cataract surgery (and participants with documented cataract in some studies), the rise in myopia likely reflects the development of nuclear cataract, which is known to be associated with a myopic shift as a result of increasing lens power [ 19]. However, this age-related change in refraction may also occur irrespective of visible lens opacity; in the Beaver Dam Study, a 10-year longitudinal myopic shift (−0.19D, 95 % CI −0.32 to −0.06, p < 0.001) was observed in those over 70 years old, even after adjusting for nuclear sclerosis grading [ 17]. We did not confirm the observation of previous studies of higher myopia prevalence in women [ 20].
In comparison to previous estimates, the overall burden of myopia in our population appears similar but slightly greater to that of other studies. The 2004 Eye Diseases Prevalence Research Group estimated myopia prevalence at 26.6, 25.4 and 16.4 % for European, North American and Australian sub-analyses respectively [ 8]. This study included the Beaver Dam Eye Study [ 21], the Baltimore Eye Survey [ 22], the Blue Mountains Eye Study [ 23], the Melbourne Visual Impairment Project [ 24] and the Rotterdam Study I [ 9], which was also included in this meta-analysis. In their youngest cohort (40–49 years), 36.8 % of white men and 46.3 % of white women were myopic, similar to our estimates of 42.0 and 39.8 % in 40–44 year-olds, albeit with no gender difference. The US 1999–2004 NHANES examined refractive error variation by age in three ethnicities; the prevalence of myopia in non-Hispanic white participants 20–39 years of age was 35.1 % in men and 42.3 % in women, whilst the prevalence in those ≥60 years was 23.1 % in men and 18.6 % in women [ 20]. These prevalence rates are again very similar to that found in our data, although we did not find higher levels of myopia in young females. Both comparative estimates are based on a definition of myopia ≤−1D, and are therefore not directly comparable to our study definition of myopia ≤−0.75D, an issue often encountered in refractive error epidemiology where there is a lack of consensus on definitions of refractive error. The adult prevalence of myopia in South-east Asia is of much greater magnitude than that seen in studies of European ancestry [ 2528], with remarkably high levels of myopia seen in young individuals [ 29, 30]. The number of participants in our meta-analysis of Asian origin was very low, precluding meaningful reporting of these estimates.
High myopia prevalence was relatively low in Europe, with an age-standardised estimate of 2.7 % (95 % CI 2.69–2.73). The highest prevalence was observed in younger participants, albeit with wider CIs due to smaller sample size (Table  2). Prevalence in older participants was low, potentially reflective of generational changes, or perhaps exclusion due to the earlier need for cataract surgery in high myopes compared to other refractive groups [ 31]. Our greatest high myopia prevalence of 5.9 % (95 % CI 1.3–10.5) in 15–19 year-olds remains much lower than that seen in, for example, urban China where up to 14 % of 17 year-olds are highly myopic [ 32]. In non-Hispanic White individuals in the NHANES 1999–2004 data, high myopia appeared slightly more common than in our data; for example in those aged 20–29 years-old “severe” myopia was identified in 7.4 %, compared to 2.8 and 5.3 % in those aged 20–24 and 25–29 respectively in this European study. However the NHANES definition of severe myopia (≤−5D) again differs slightly from our definition of high myopia (≤−6D).
Using the same definition of high hyperopia (≥ 3D), our study appeared to have less hyperopia than the Eye Diseases Research Group [ 8]; for example in 70–74 year-olds 21.3 % of white women and 16.9 % of white men were highly hyperopic compared to just 12.8 % in our European data, which may again reflect a generational or cohort effect.
Astigmatism rates were fairly constant (15–25 %) across cross-sectional age categories, but were higher after the age of 65. This finding has been observed in other studies, together with a shift from with-the-rule to against-the-rule astigmatism [ 20, 23, 28]. Across all age groups, we identified higher astigmatism prevalence in men, particularly evident in middle to later ages (for example 39.5 % in women and 46.2 % in men aged 70–74). This observation was similar in the older participants of the NHANES 1999–2004 study, where in participants over the age of 60 years the astigmatism prevalence in women was 46.1 % and in men 54.9 % [ 20].
The major strength of our study is the large sample size contributing to the prevalence estimates, providing a unique opportunity to estimate the burden of refractive error in middle and older aged individuals across Europe. This is beneficial for planning of clinical services and raises awareness, for both clinicians and economists, of the future potential issues of rising myopia levels and associated visual impairment [ 33]. Refractions were all non-cycloplegic, which is common practice for population-based adult ophthalmic epidemiological studies, thus making this study comparable to previous research [ 34, 35].
Despite age and gender stratification, significant heterogeneity between studies remained in the meta-analysis. There are inherent differences in the included studies in terms of study design, refraction technique and cohort sampling, together with between country differences in levels of urbanisation, economy, education and climate which may influence refractive error. We were unable to stratify by these factors in this meta-analysis as person-specific data was not available for all studies. This study was mainly comprised of middle and older aged individuals, therefore our estimates of refractive error prevalence carry greater confidence for these ages since they are based on more precise estimates with narrow 95 % CIs. The majority of the studies in this meta-analysis originate from Northern and Western European countries, and therefore our estimates of refractive error are more representative of these European countries. Although our sample includes either national or locally recruited population-based studies, like all epidemiological studies there may be a bias of participants volunteering for an eye examination being more ‘health conscious’. We suspect this would have little effect on the prevalence of refractive error, and if anything result a slight underestimation of the prevalence. Finally, refractions were performed over a twenty-year period and, therefore our estimates of prevalence may be subject to error given temporal trends in refractive error prevalence. However, refractions were performed between 2000 and 2010 in thirteen out of the fifteen studies, reducing this variability.
In conclusion, this study estimates refractive error affects just over a half of European adults. Myopia represented the greatest burden, with an estimated 227.2 million people across Europe affected (using the 2010 European population estimates) [ 36]. Based on study prevalence estimates of high myopia, this also suggests there are 20.1 million people across Europe who are at higher risk of the associated sight threatening complications, such as retinal detachment, that this degree of myopia confers [ 33].

Acknowledgments

The authors wish to thank all the participants and teams involved in the contributing cohorts. 1958 British Birth Cohort The 1958 British Birth Cohort biomedical survey was funded by the Medical Research Council (Grant G0000934, Health of the Public initiative, principal grant holders C Power and D Strachan). Montachet Regional Council of Burgundy, PHRC Interregional. ALIENOR The Alienor study received financial support from Laboratoires Théa (Clermont-Ferrand, France). Laboratoires Théa participated in the design of the study, but no sponsor participated in the collection, management, statistical analysis and interpretation of the data, nor in the preparation, review or approval of the present manuscript. EPIC- Norfolk EPIC-Norfolk infrastructure and core functions are supported by grants from the Medical Research Council (G1000143) and Cancer Research UK (C864/A14136). The clinic for the third health examination was funded by Research into Ageing (262). Mr Khawaja is a Wellcome Trust funded Clinical Research Fellow. Mr Foster has received additional support from the Richard Desmond Charitable Trust (via Fight for Sight) and the Department for Health through the award made by the National Institute for Health Research to Moorfields Eye Hospital and the UCL Institute of Ophthalmology for a specialist Biomedical Research Centre for Ophthalmology. None of the funding organisations had a role in the design or conduct of the research. EUREYE The EUREYE Study was supported by Grant QLK6-CT-1999-02094 from the European Commission Vth Framework. Additional funding for cameras was provided by the Macular Disease Society. Gutenberg Health Study The Gutenberg Health Study, is funded by the government of Rhineland-Palatine (“Stiftung Rheinland-Pfalz für Innovation”, Contract Number AZ 961-386261/733), the research programs “Wissen schafft Zukunft” and “Schwerpunkt Vaskuläre Prävention” of the University Medical Center Mainz, Germany and its contract with Boehringer Ingelheim, Germany and PHILIPS Medical Systems including an unrestricted grant for the Gutenberg Health Study. The sponsors and funding organizations played no role in the design or conduct of this research. KORA The KORA research platform (KORA, Cooperative Research in the Region of Augsburg) was initiated and financed by the Helmholtz Zentrum München—German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research and by the State of Bavaria. The KORA-Age project was financed by the German Federal Ministry of Education and Research (BMBF FKZ 01ET0713) as part of the “Health in old age” program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. POLA This study was supported by the Institut National de la Santé et de la Recherche Médicale (Inserm), Paris, France; by grants from the Fondation de France, Department of Epidemiology of Ageing, Paris, the Fondation pour la Recherche Médicale, Paris, the Région Languedoc-Roussillon, Montpellier, France and the Association Retina-France, Toulouse; and by financial support from Rhônes Poulenc, Essilor, Specia and Horiba ABX Montpellier, and the Centre de Recherche et d’Information Nutritionnelle, Paris. The sponsors and funding organizations played no role in the design or conduct of this research. Rotterdam Study and ERF Study were supported by the Netherlands Organization of Scientific Research (NWO) (Vidi 91796357 to C.C.W. Klaver), NWO Investments (175.010.2005.011, 911-03-012 to the Rotterdam Study), the Netherlands Genomics Initiative (NGI)/NWO (050-060-810 to the Rotterdam Study), Erasmus Medical Center and Erasmus University, Rotterdam, The Netherlands, Netherlands Organization for Health Research and Development (ZonMw), UitZicht, Stichting Combined Ophthalmic Research Rotterdam (CORR), the Research Institute for Diseases in the Elderly (014-93-015, RIDE2), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), the Municipality of Rotterdam, the Netherlands Genomics Initiative/NWO, Center for Medical Systems Biology of NGI, Lijf en Leven, M.D. Fonds, Henkes Stichting, Stichting Nederlands Oogheelkundig Onderzoek, Swart van Essen, Bevordering van Volkskracht, Blindenhulp, Landelijke Stichting voor Blinden en Slechtzienden, Rotterdamse Vereniging voor Blindenbelangen, OOG, Algemene Nederlandse Vereniging ter Voorkoming van Blindheid, the Rotterdam Eye Hospital Research Foundation, Erasmus Trustfonds, and Topcon Europe. Thessalonki Eye Study The Thessaloniki Eye Study is supported in part by: International Glaucoma Association, London, UK; UCLA Center for Eye Epidemiology, Los Angeles, CA; Health Future Foundation, Creighton University, Omaha, NE; Texas Tech University Health Sciences Center, Lubbock, TX; Pfizer, Inc., New York, NY; Glaucoma Research Education Foundation, Indianapolis, IN; Pharmacia Hellas, Athens, Greece; Novartis Hellas, Athens, Greece. All the grants were unrestricted. Tromsø Eye Study received funding from the Norwegian Extra Foundation for Health and Rehabilitation through EXTRA funds, the Research Council of Norway, the Northern Norway Regional Health Authority and the University of Tromsø. TwinsUK received funding from the Wellcome Trust (Grant Ref: 081878) and the National Institute for Health Research (NIHR) BioResource Clinical Research Facility and Biomedical Research Centre based at Guy’s and St. Thomas’ NHS Foundation Trust and King’s College London. KMW acknowledges a personal fellowship from the Medical Research Council.

Conflicts of interest

The authors have no competing interests to declare.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

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