Association of mean annual midday (11 AM-3 PM) blue light exposure with neovascular age-related macular degeneration by age at exposure. Odds ratio and 95% confidence intervals for 1-SD increase in blue light exposure adjusted for age, sex, smoking status, diabetes, cardiovascular disease, education, aspirin use, retinol, and cholesterol level.
Association of mean annual midday (11 AM-3 PM) blue light exposure with neovascular age-related macular degeneration by age at exposure and in those with lowest joint quartiles of vitamin C, zeaxanthin, and vitamin E. Odds ratio and 95% confidence intervals for 1-SD increase in blue light exposure adjusted for age, sex, smoking status, diabetes, cardiovascular disease, education, aspirin use, retinol, and cholesterol level.
Fletcher AE, Bentham GC, Agnew M, Young IS, Augood C, Chakravarthy U, de Jong PTVM, Rahu M, Seland J, Soubrane G, Tomazzoli L, Topouzis F, Vingerling JR, Vioque J. Sunlight Exposure, Antioxidants, and Age-Related Macular Degeneration. Arch Ophthalmol. 2008;126(10):1396-1403. doi:10.1001/archopht.126.10.1396
Copyright 2008 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.2008
To examine the association of sunlight exposure and antioxidant level with age-related macular degeneration (AMD).
Four thousand seven hundred fifty-three participants aged 65 years or older in the European Eye Study underwent fundus photography, were interviewed for adult lifetime sunlight exposure, and gave blood for antioxidant analysis. Blue light exposure was estimated by combining meteorologic and questionnaire data.
Data on sunlight exposure and antioxidants were available in 101 individuals with neovascular AMD, 2182 with early AMD, and 2117 controls. No association was found between blue light exposure and neovascular or early AMD. Significant associations were found between blue light exposure and neovascular AMD in individuals in the quartile of lowest antioxidant level—vitamin C, zeaxanthin, vitamin E, and dietary zinc—with an odds ratio of about 1.4 for 1 standard deviation unit increase in blue light exposure. Higher odds ratios for blue light were observed with combined low antioxidant levels, especially vitamin C, zeaxanthin, and vitamin E (odds ratio, 3.7; 95% confidence interval, 1.6-8.9), which were also associated with early stages of AMD.
Although it is not possible to establish causality between sunlight exposure and neovascular AMD, our results suggest that people in the general population should use ocular protection and follow dietary recommendations for the key antioxidant nutrients.
The retina is vulnerable to the damaging effects of light. While wavelengths in the UV radiation range are largely absorbed by the cornea and lens, the retina is exposed to visible light, including blue light. Animal and laboratory studies have shown that blue light damages the retinal pigment epithelium and choriocapillaris through generation of reactive oxygen species and may be a factor in the pathogenesis of age-related macular degeneration (AMD).1,2Protection against the harmful effects of blue light is provided by the retinal antioxidant defense system, which includes antioxidant enzymes supported by vitamins C and E, the carotenoids (lutein and zeaxanthin), and zinc. The carotenoids are present in high concentrations in the macula, acting as scavengers of reactive oxygen species and filtering blue light.3
Results have been inconsistent in the few studies that have investigated associations of sunlight exposure with AMD in human populations.4- 10Little attention has been paid to possible interactions between antioxidant levels and light exposure, though the adverse effects of sunlight may be attenuated by the protective effects of antioxidants. The European Eye (EUREYE) Study was specifically designed to maximize heterogeneity of sunlight exposure and antioxidant levels through selection of study centers throughout Europe.11
Participants were recruited from random sampling of the population aged older than 65 years in Bergen, Norway; Tallinn, Estonia; Belfast, Northern Ireland; Paris, France; Verona, Italy; Thessaloniki, Greece; and Alicante, Spain. Participants were interviewed by fieldworkers, underwent fundus photography, and gave blood samples. Information collected at interviews included participants' education, smoking and alcohol use, a brief medical history, and sunlight exposure. A dietary questionnaire was administered. All questionnaires, which were originally written in English, were translated into the language of the participating center and then translated back to English. Written informed consent was obtained from all study participants. Ethical approval was obtained from the relevant ethics committee of each country.
Participants were sent a residence and job history to complete in advance to facilitate recall at the interview. We used a questionnaire12that asked about time spent outdoors between the hours of 9 AMand 5 PMand between 11 AMand 3 PMdaily throughout an individual's working life for different occupational periods (including homecare) and in retirement up to one's current age. For each period, we collected information on the use of hats and eyewear (glasses, contact lenses, and sunglasses). We modified the original questionnaire by extending the employment history to include after leaving school, by collecting information separately for summer and winter, and by asking about the terrain in which outdoor exposures took place and time spent outdoors on working and nonworking days. Information from the questionnaire, residence calendar, and geographical coordinates of residence were used to generate estimates of individual years of exposure to different wavelengths of light. We used a modified version of the model developed by Rosenthal et al.13For all residences of 1 year or longer, ambient UVB (erythemally weighted) and UVA (J/cm2) light were estimated from published sources that take into account time of day, month, and latitudinal variations.14Blue light (photons/s/cm2) was estimated using a radiation model that estimates spectral radiation as a function of time of day, day of the year, and latitude.15We used published coefficients to adjust ambient clear-sky UV light for cloud cover16and terrain.17For each wavelength of light, maximum potential lifetime exposure was calculated as the sum of the time-weighted levels at each place of residence. Information from the questionnaire on outdoor exposure during different periods was used to estimate the proportion of maximum exposure actually experienced by an individual. Finally, the attenuation provided by ocular protection was included in the model.13,18Personal lifetime exposures were estimated for the 3 wavelengths of UV radiation for a mean annual lifetime exposure at midday and all times of day.
We used the United Kingdom version of the European Prospective Investigation Into Cancer and Nutrition Study Food Frequency Questionnaire.19For each non–United Kingdom country in the study, we modified the Food Frequency Questionnaire for any food items that were redundant or relevant. Questionnaire data were converted to nutrients using food-composition tables.20Adjustment for total energy intake was made using the residual model of Willett et al.21
Fundus images were graded at a single reading center using the International Classification System for Age-Related Maculopathy,22which identifies 5 mutually exclusive grades: grade 0 (no early or late AMD), grade 1 (soft distinct drusen [≥ 63 μm and < 125 μm] only or pigmentary irregularities only); grade 2 (soft indistinct [≥ 125 μm] or reticular drusen only or soft distinct drusen with pigmentary irregularities); grade 3 (soft indistinct or reticular drusen with pigmentary irregularities); and grade 4 (either neovascular AMD [presence of any of the following: serous or hemorrhagic retinal or retinal pigment epithelial detachment, subretinal neovascular membrane, periretinal fibrous scar] or geographic atrophy [well-demarcated area of retinal pigment atrophy with visible choroidal vessels]). This grading system had been validated within the Rotterdam Eye Study.23Early AMD was defined as grades 1 to 3 and late AMD as grade 4.
Blood samples were sent to a single laboratory for analysis by reverse-phase high-performance liquid chromatography for lutein, zeaxanthin, β-cryptoxanthin, α-carotene, β-carotene, α-tocopherol, γ-tocopherol, lycopene, and retinol levels. Total vitamin C levels were measured using an enzyme-based assay in plasma stabilized with metaphosphoric acid. Cholesterol level was measured using an enzymatic assay (Randox, Crumlin, Ireland) on a Cobas FARA centrifugal analyzer (Roche Diagnostics, Burgess Hill, England).
Statistical analysis was carried out using Stata, version 9 (Stata Corp, College Station, Texas). The dependent variable was neovascular AMD. We did not examine possible associations with geographic atrophy because there were only 49 cases of the disease. The primary exposure was blue light in the middle of the day, when light intensity is greatest. Blue light was z-transformed for investigation of a standard deviation change in exposure. Key antioxidants for hypothesis testing were vitamin C, zeaxanthin, lutein, α-tocopherol, and dietary zinc (blood measurements of zinc were not available). Potential confounders, including age, sex, smoking status, education, history of diabetes, cardiovascular disease, demiquet (weight in kilograms divided by the demispan in centimeters squared), operated cataract, iris color, aspirin consumption, and use of any vitamin or mineral supplements or other antioxidants (lycopene, alpha and beta carotene, gamma-tocopherol, beta-cryptoxanthin, and retinol) were entered in preliminary models and retained if associated with neovascular AMD. Cholesterol was retained in all models, as carotenoids and α-tocopherol are lipid soluble.
In all analyses, we used Stata survey methods that take account of the within- and between-center variation in the estimation of standard errors. We used survey logistic regression to investigate the association between blue light exposure and neovascular AMD. We also examined this association by quartiles of key antioxidant levels by including interaction terms in the models with design-adjusted Wald tests. We used multinomial survey logistic regression to investigate associations with blue light, key antioxidants, and early AMD. Since sex and smoking are known to affect plasma vitamin C levels (lower in men and in smokers) and possibly other antioxidant levels, we investigated whether associations of blue light exposure and key antioxidants with neovascular AMD differed by smoking status by including 3-way interactions among the lowest antioxidant level quartile, smoking (ever smoked vs never having smoked), and blue light exposure. We also investigated the association of blue light exposure at different ages in those with combined low antioxidant levels. In all analyses, the comparison group was grade 0 AMD.
The prevalence of AMD has been presented elsewhere.24Of 5040 participants (45% response rate), 4753 had gradable fundus images. There were 109 cases of neovascular AMD, 49 of geographic atrophy, 2333 of early AMD (1734 grade 1, 482 grade 2, and 117 grade 3), and 2262 controls with grade 0 AMD. Sunlight exposure data were not available in 21 people (12 control, 1 neovascular AMD, and 8 early AMD cases). Full data on all sunlight and antioxidant variables were available for 2117 controls and 101 neovascular AMD, 43 geographic atrophy, and 2182 early AMD cases. The mean age of participants was 73.2 (standard deviation, 5.6) years and 55% were women. Blue light exposures tended to be higher in participants from the study centers in southern Europe, while participants in an exclusively urban center (Paris) had the lowest exposures (Table 1). Plasma antioxidant and zinc levels also varied across centers, but there was no clear pattern. There was considerable variation in the interquartile ranges of blue light exposure within centers. In multivariate regression models, women had lower levels of exposure than men (P = .02), and those in the lowest tertile of education had the highest exposure (P = .03). There was no significant association between key antioxidant levels and amount of blue light exposure.
In analyses adjusted only for age and sex or for additional potential confounders, no association was observed between blue light exposure and neovascular AMD (for a standard deviation unit increase in blue light exposure, odds ratio [OR], 1.09; 95% confidence interval [CI], 0.84-1.41; P = .5). No associations were observed between neovascular AMD and quartiles of vitamin C (P = .8), zeaxanthin (P = .9), lutein (P = .5), α-tocopherol (P = .2), or dietary zinc levels (P = .1). There were no associations found between neovascular AMD and the lowest quartile levels of vitamin C (OR, 1.13; 95% CI, 0.69-1.85; P = .6), zeaxanthin (OR, 0.94; 95% CI, 0.67-1.33; P = .7), lutein (OR, 0.77; 95% CI, 0.45-1.32; P = .3), α-tocopherol (OR, 0.82; 95% CI, 0.47-0.41; P = .8), or dietary zinc (OR, 1.6; 95% CI, 0.78-3.30; P = .2). When the association of blue light exposure by antioxidant quartile was analyzed, a consistent pattern was observed of increased ORs of blue light in the quartile of lowest antioxidant level (Table 2). Certain combinations of low levels of antioxidants, especially those with low levels of 3 antioxidants, showed higher ORs of blue light exposure compared with single antioxidants (Table 3). High levels of vitamin C were associated with reduced ORs of neovascular AMD with blue light (Table 2), but no significant associations between blue light exposure and high levels of other antioxidants were observed. The OR for the association between blue light exposure and highest quartiles of lutein or zeaxanthin was around 1.3, but the 95% CIs crossed 1. There was no association of blue light exposure with neovascular AMD for those with combined high levels of antioxidants (P > .2 for all analyses).
The associations of blue light exposure in the lowest quartiles of plasma antioxidant level did not differ by smoking status for neovascular AMD (3-way test of interaction: vitamin C, P = .1; zeaxanthin, P = .6; lutein, P = .4; α-tocopherol, P = .2; and dietary zinc, P = .1). There was no association of blue light exposure at different ages during adult life with neovascular AMD (Figure 1). Odds ratios increased from early adult life to middle age and older for the associations of blue light in those with low antioxidant levels at the time of study, with the highest ORs at ages 50 to 59 (OR, 4.71; 95% CI, 2.16-10.30) (Figure 2).
We found no association between blue light exposure alone or of blue light exposure by quartiles of individual antioxidant levels and early AMD (Table 4). Relative risk ratios were between 1.5 and 2 for blue light and early AMD in those with low levels of several antioxidants—vitamin C, zeaxanthin, and either α-tocopherol or zinc—but in 2 of the 6 risk ratios, the 95% CIs crossed 1. There were no significant interactions of blue light and early AMD with high levels of antioxidants.
Laboratory and animal studies have shown adverse effects of blue light on the retina and a role of antioxidants, including the carotenoids lutein and zeaxanthin, in free-radical scavenging and singlet oxygen quenching.1,3The EUREYE Study is the first to report an adverse association of blue light exposure with neovascular AMD in humans with low levels of antioxidants. It is likely that low levels of antioxidants in the blood will be reflected by low levels in the retina, as has been demonstrated for the macular carotenoids.3In particular, the combination of blue light exposure in the presence of low levels of zeaxanthin, α-tocopherol, and vitamin C was associated with a nearly 4-fold OR of neovascular AMD. In vitro studies have reported synergistic protective associations of retinal antioxidants against photoinduced lipid peroxidation for the macular carotenoids with α-tocopherol25- 27and vitamin C,26possibly by preventing zeaxanthin depletion.26Low levels of zeaxanthin appeared more important than low levels of lutein, especially in the presence of low levels of vitamin C and α-tocopherol. The higher levels of zeaxanthin compared with lutein in the fovea28may indicate that zeaxanthin plays a stronger protective role against light-induced damage than lutein.29Smoking is a well-established risk factor for neovascular AMD in many studies, including the EUREYE Study.30Smokers tend to have lower levels of antioxidants, especially vitamin C.31The adverse associations of blue light exposure in those with low antioxidant levels were observed in those who have never smoked and smokers, suggesting that our results were not explained by smoking.
The retina is more exposed to blue light at younger ages owing to the transparency of the lens. The Beaver Dam Eye Study reported that leisure time outdoors in young adult life was associated with the incidence of early, but not late, AMD.32In our study, the associations of blue light exposure in those with low antioxidant levels appeared stronger at older ages, reaching a peak at ages 50 to 59 years. Penetration of shorter wavelengths of blue light into the retina decreases with age, principally as a result of a yellowing of the lens and a decreasing pupil diameter.33The aging eye also accumulates chromophores, indicating increased susceptibility to oxidative damage from blue light.34It has been estimated that either the process of lens yellowing and chromophore accumulation are approximately balanced with no change in susceptibility with age33or that susceptibility peaks in midlife followed by a decline from the age of 60 years. This latter estimate is broadly in line with our results.35The methods used to estimate sunlight exposure have varied across studies. We used a detailed interview that required participants to recall lifetime location of residence and time spent outdoors throughout their adult lives. Our questionnaire was similar to that used in studies that have reported associations between sunlight exposure and melanoma (including ocular melanoma).36,37Participants may have underestimated or overestimated their time spent outdoors, but we have no reason to believe that recall was biased, eg, by knowing their antioxidant levels or AMD stage. Participants had no knowledge of their antioxidant levels, and interviews took place before the eye examination. We tried to maximize recall of exposures by sending participants a residence and job calendar to complete before the interview. We included periods spent looking after the home (especially important in people who spend a lot of time at home), whereas some studies have asked only about professional exposure to sunlight.6,10,38,39Other studies have not collected data on past exposures during adult life4or have used summary categorical responses to type of work expo sures.7We adjusted our estimates for ocular protection. Our measurements were strengthened through the use of cloud-cover data to estimate blue light attenuation spatially and seasonally (in addition to latitude). The POLA (Pathologies Oculaires Liées à l'Age) and Beaver Dam Eye studies used estimated potential maximum ambient UVB or UV radiation exposures4,10based on residence without adjusting for time spent outdoors. Neither study found an association between estimated ambient solar radiation and AMD. However, the POLA study found a significant reduced association of increasing ambient UV radiation with early AMD. The Chesapeake Bay Watermen Study collected detailed occupational exposure data during the previous 20 years and found no association of UVA or UVB light with AMD,38but it noted an adverse association of blue light with extensive geographic atrophy and disciform scars.39The Blue Mountains Eye Study reported an inverse association between hours of sunlight exposure and AMD, even after adjustment for an index of sun sensitivity.9
We have no information on genetic factors in the EUREYE Study. The effects of blue light may be modified by specific polymorphisms, but it is unlikely that our results could be explained solely by genetic susceptibility.
Lowering retinal exposure to blue light and ensuring that intake of key antioxidant nutrients is sufficient are the main recommendations from our study. Any benefit from reducing sun exposure has to be set against the benefits of sunlight, in particular its role in vitamin D synthesis.40We advise reducing ocular exposure when outdoors by wearing broad-brimmed hats and sunglasses, estimated to reduce ocular light exposure by approximately 40% and 70%, respectively.13,41Ocular protection and avoiding sunlight in the middle of the day is particularly important in people whose intraocular lenses have no yellow filter.33
Following recommended dietary reference intakes should ensure that people have antioxidant levels above those associated with increased risk from blue light exposure, at least for vitamin C and zinc.42Dietary reference intakes of 90 mg/d of vitamin C for older men and 75 mg/d for older women should lead to plasma vitamin C levels above 0.46 mg/dL (the cut-off point for the lowest quartile in our study, to convert to micromoles per liter, multiply by 56.78).43Dietary reference intakes for zinc are 11 mg/d for men and 8 mg/d for women, reflecting sex differences in metabolism. Recommendations for dietary intakes of vitamin E to achieve specific plasma levels are problematic owing to the poor correlations observed between dietary and plasma measures. The dietary reference intake for vitamin E (as α-tocopherol) is 15 mg/d in older men and women.42In the absence of dietary reference intakes for lutein or zeaxanthin, it is recommended to increase consumption of carotenoid-rich fruits and vegetables.
We found that the combination of blue light exposure and low plasma concentrations of antioxidants was also associated with the early stages of AMD, which are common in the population, and that blue light exposure in middle age might be more damaging than at younger ages. In the absence of cost-effective screening methods to identify people in the population with early AMD, we suggest that recommendations on ocular protection and diet target the general population, especially middle-aged people.
Correspondence:Astrid E. Fletcher, PhD, Department of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, England (email@example.com).
Submitted for Publication:July 16, 2007; final revision received December 19, 2007; accepted January 16, 2008.
Author Contributions:Dr Fletcher had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. All authors contributed to the study design. Drs Bentham and Agnew were responsible for the estimation of blue light exposure. Dr Young was responsible for antioxidant analyses. Drs de Jong and Vingerling were responsible for fundus grading. Dr Augood was the study coordinator and responsible for fieldworker training. Drs Chakravarthy, Seland, Rahu, Soubrane, Tomazzoli, Topouzis, and Vioque were responsible for acquisition of data in each of the local study centers. All authors commented on drafts and take responsibility for the decision to submit this for publication.
Financial Disclosure:Dr de Jong received an unrestricted grant of €100 000 ($159 000) in 2007 from the Alcon Research Institute. In 2005, Drs de Jong and Vingerling received an unrestricted grant of €10 000 ($15 900) from Alcon USA. Dr Chakravarthy is the principal investigator and Dr Young is a coinvestigator in a study funded by an educational grant from Bausch & Lomb that examines the use of antioxidants in the progression of AMD. Dr Soubrane is an investigator in a randomized trial of ω-3 supplements that is sponsored by Bausch & Lomb. No other authors reported conflicts of interest.
Funding/Support:The EUREYE Study was supported by grant QLK6-CT-1999-02094 from the European Commission VthFramework. Additional funding for cameras was provided by the Macular Disease Society. Dr Rahu was supported by grant 01921112s02 from the Estonian Ministry of Education and Science. The Alicante site was supported by grants FIS 01/1692E and RCESP C 03/09 from the Spanish Ministry of Health; by Centro de Investigación Biomédica en Red de Epidemiologiá y Salud Pública; and by grants CTGCA/2002/06 and G03/136 from the Generalitat Valenciana.
Role of the Sponsors:The sponsors had no role in the data collection, data analysis, data interpretation, writing of the paper, or decision to submit the paper for publication.