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ORIGINAL RESEARCH COMMUNICATION |
1 From the Department of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom (CA and AEF); the Department of Ophthalmology (UC) and the Centre for Clinical and Population Sciences (IY), Queen's University Belfast, Belfast, United Kingdom; the Centre for Environmental Risk, University of East Anglia, East Anglia, United Kingdom (GB); the Netherlands Institute for Neuroscience, KNAW, Department of Ophthalmology, Academic Medical Centre, Amsterdam, Netherlands (PTVMdJ); the Department of Epidemiology and Biostatistics, Erasmus Medical Center, Rotterdam, Netherlands (PTVMdJ and JRV); the Department of Epidemiology and Biostatistics, National Institute for Health Development, Tallinn, Estonia (MR); Øyeavdelingen, Haukeland Sykehus University of Bergen, Bergen, Norway (JS); Clinique Ophthalmologique, Universitaire De Creteil, Paris, France (GS); Clinica Oculistica, Università degli Studi di Verona, Verona, Italy (LT); the Department of Ophthalmology, Aristotle University of Thessaloniki School of Medicine, Thessaloniki, Greece (FT); and the Department Salud Publica Universidad Miguel Hernandez, Alicante & CIBER Epidemiología y Salud Pública (CIBERESP), Altea, Spain (JRV)
2 EUREYE was supported by the European Commission Vth Framework (QLK6-CT-1999-02094). Additional funding for the cameras was provided by the Macular Disease Society UK. MR was supported by the Estonian Ministry of Education and Science (target funding 01921112s02). Additional funding in Alicante was received from the Fondo de Investigacion Sanitaria. (grants FIS 01/1692E and RCESP C 03/09) and the Oficina de Ciencia y Tecnologia Generalitat Valenciana (grant CTGCA/2002/06). CA was supported by a grant from the Thomas Pocklington Trust. 3 Reprints not available. Address correspondence to AE Fletcher, Department of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, United Kingdom. E-mail: astrid.fletcher{at}lshtm.ac.uk.
| ABSTRACT |
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Objective: We investigated the association of oily fish and dietary DHA and EPA with neovascular AMD (NV-AMD).
Design: Participants aged
65 y in the cross-sectional population-based EUREYE study underwent fundus photography and were interviewed by using a food-frequency questionnaire. Fundus images were graded by the International Classification System for Age Related Maculopathy. Questionnaire data were converted to nutrient intakes with the use of food-composition tables. Survey logistic regression was used to calculate odds ratios (ORs) and 95% CIs of energy-adjusted quartiles of EPA or DHA with NV-AMD, taking into account potential confounders.
Results: Dietary intake data and fundus images were available for 105 cases with NV-AMD and for 2170 controls without any features of early or late AMD. Eating oily fish at least once per week compared with less than once per week was associated with a halving of the odds of NV-AMD (OR = 0.47; 95% CI: 0.33, 0.68; P = 0.002). Compared with the lowest quartile, there was a significant trend for decreased odds with increasing quartiles of either DHA or EPA. ORs in the highest quartiles were 0.32 (95% CI: 0.12, 0.87; P = 0.03) for DHA and 0.29 (95% CI: 0.11, 0.73; P = 0.02) for EPA.
Conclusions: Eating oily fish at least once per week compared with less than once per week was associated with a halving of the OR for NV-AMD.
| INTRODUCTION |
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The aim of our study was to investigate whether DHA and EPA in the diet of Europeans aged
65 y is associated with AMD. The primary outcome was NV-AMD. We could not test for the association with GA because the number of cases was too low. We also investigated an association with vitamin D because oily fish is rich in vitamin D, and vitamin D may protect against AMD because of its antiinflammatory properties (19).
| SUBJECTS AND METHODS |
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65 y in 7 centers located from north to south Europe (20). Ethics approval was obtained at each center from the relevant ethics committee. Study participants gave informed written consent. Participants were interviewed by fieldworkers, underwent an eye examination including fundus photography, and gave a blood sample. Interviews were carried out before the eye examination.
Fundus images were graded at a single reading center using the International Classification System for Age Related Maculopathy (ARM) (21) with 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 NV-AMD (presence of any of the following: serous or hemorrhagic retinal or retinal pigment epithelial detachment, subretinal neovascular membrane, or periretinal fibrous scar) or GA (well-demarcated area of retinal pigment atrophy with visible choroidal vessels)]. This grading system had been validated in the Rotterdam Eye Study (22). Early AMD was defined as grades 1 to 3 and late AMD as grade 4. Subjects with NV-AMD and GA in the same eye were considered to have NV-AMD, because it was not possible to distinguish whether GA was already present before NV-AMD or resulted from longstanding leakage and hemorrhage because of NV-AMD. (Clinically, the latter is the most frequent cause of the combination of GA and NV-AMD). GA was graded only in the absence of NV-AMD.
Dietary assessment method
During the interview, dietary intake during the previous 12 mo was assessed by using a semiquantitative food-frequency questionnaire (FFQ). We used the UK European Prospective Investigation into Cancer and Nutrition (EPIC) Study FFQ (23), which was derived from the original FFQ devised by Willett (24). For each non-United Kingdom country in the study, we modified the FFQ for food items that were redundant or relevant using the EPIC country-specific questionnaires to identify additional food items or the local variety of a food item. In Estonia, where there was no equivalent EPIC questionnaire, we devised the FFQ after consultation with local nutrition researchers. Validation studies have been carried out on country-specific EPIC questionnaires, eg, for the United Kingdom (23), and we did not carry out any additional validation work on the questionnaires or on the Estonian questionnaire. Information on habitual consumption of foods during the previous year included portion size and was recorded in 9 different frequency categories, from never or less than once a month to
6 times/d. In the fish category, we asked separately about intake of oily fish, white fish, fried fish, and seafood. A medium serving of fish was considered to be 4 oz (113.4 g). Nutrient content was estimated by using the food-composition table of McCance and Widdowson (25) and EPA and DHA contents by using US Department of Agriculture tables (26), because EPA and DHA are not available in the table of McCance and Widdowson. For each study participant, the nutrient intake was calculated by multiplying the intake frequency for each food item by the nutrient content for the portion size. We asked about the use of vitamin supplements and recorded information on type and frequency, including fish oil and n–3 supplements.
Risk factor questionnaires and other measurements
We used structured questionnaires to collect demographic data (age, years of education, and occupation), current and past smoking habits, alcohol consumption, cardiovascular disease history (diabetes, stroke, and heart attack), and use of aspirin and other analgesics. We measured weight and the demi-span (the distance between the sternal notch and the finger roots with the arm outstretched laterally).
In the total sample size of 4753 participants with gradable fundus images, there were 158 cases of late AMD: 109 with NV-AMD and 49 with GA (27); 2262 had no signs of AMD. Of the 109 participants with NV-AMD, dietary food data were missing for 4, leaving 105 cases and 2173 controls without any signs of AMD. Of the 2173 controls, 2 were missing data on EPA and 1 on DHA.
Statistical analyses
Statistical analysis was carried out by using STATA 9 (Statcorp, College Station, TX). The primary outcome was NV-AMD. The primary exposures were energy-adjusted habitual dietary DHA and EPA and oily fish intake. Few people consumed fish at a high frequency (see below); therefore, fish intake was reclassified as less than once per week, once per week, and twice per week or more. For each study center the years of education were classified into low (for the lower third), middle (the middle third), and high (upper third) education groups. The Demiquet index, a measure of weight for body size, was calculated as weight (kg)/demi-span (m2) (20).
Dietary DHA and EPA were logarithmically transformed and adjusted for total energy intake by using the residual model of Willett et al (28). Energy-adjusted DHA and EPA were categorized into quartiles on the basis of the distribution among controls. Potential confounders were entered into models and removed if they did not change the ORs by
5%. Significant confounders for NV-AMD retained in the final models were age, sex, smoking status (current, ex, and never), diabetes, and aspirin use. Energy was forced into all models. Variables excluded were the Demiquet index, education level, history of myocardial infarction or stroke, supplementation with fish oil or n–3 fatty acids, alcohol use, and dietary intakes of vitamin C, vitamin E, retinol, β-carotene, and protein. Additionally, we examined the effect of combined DHA and EPA. We analyzed vitamin D separately and in models with EPA or DHA. We accounted for the study design (7 centers) by using the STATA survey commands in the estimation of SEs and corresponding P values and 95% CIs. We used survey logistic regression to examine the association of NV-AMD with different levels of fish consumption and energy-adjusted DHA and EPA intakes, adjusted for confounders. ORs and 95% CIs are reported.
| RESULTS |
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There was a high correlation between mean dietary energy-adjusted vitamin D and servings of oily fish (0.73) and with energy-adjusted DHA and EPA intakes (0.87 and 0.86, respectively). Mean DHA and EPA intakes increased significantly with vitamin D intake, whereas lutein and zeaxanthin decreased significantly with vitamin D intake (data not shown).
Logistic regression analysis for energy-adjusted vitamin D and NV-AMD found a weak inverse trend (P = 0.06) with increasing quartiles of vitamin D intake; the OR for the top compared with the bottom quartile was 0.46 (95% CI: 0.17, 1.27; P = 0.1) when adjusted for age, sex, smoking, diabetes, aspirin, lutein and zeaxanthin, and energy. Including EPA or DHA in the models removed any association with vitamin D (data not shown).
| DISCUSSION |
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50 or less in 4 studies, of which one was prospective; 10) and 3 were cross sectional (14, 15, 17) (Table 5
4 servings/wk (RR = 0.65). In AREDS, the lowest OR was observed in those who consumed more than two 4-oz servings/wk.
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We adjusted for possible confounders, as was done in previous studies. Because a high consumption of fish may be a marker of general healthy behavior, we looked at lifestyle factors such as alcohol intake, smoking, and education. However, these behaviors were not associated with EPA and DHA in our study. We did not collect data on other lifestyle factors, such as physical activity, but we think that it was unlikely that this information would have altered our results substantially because physical activity is not an established risk factor for AMD and the Nurses Health Study, which did adjust for physical activity, reported significant effects for fish intake (9). We had no information on cardiovascular disease factors other than the self report of a history of heart attack or stroke. We did not collect information on statin use, but few elderly Europeans used statins at the time our study started. We also think that it was unlikely that our results would be materially altered by this information because studies such as AREDS, which collected detailed information on cardiovascular disease and medication use, reported results similar to ours.
Fish contain vitamin D and retinol, which may represent alternative or additional potentially protective agents for AMD. It has been postulated that vitamin D per se may reduce the risk of AMD because of its antiinflammatory properties, and several putative mechanisms support an antiinflammatory role for vitamin D (11). However, we found no independent association between dietary vitamin D and NV-AMD when either EPA or DHA were included in the model. Interestingly, one study (19) found an association of serum vitamin D with early AMD, but not for pigmentary abnormalities or advanced AMD. In that study from the United States, the main factor contributing to serum vitamin D was fortified milk; fish consumption was not associated with serum vitamin D.
Approximately one-third of the EUREYE study population had taken one or more supplements during the previous year, a figure similar to that found in a national dietary survey of Britons aged
65 y (30). Participants in the highest intake of oily fish in our study were more likely to be users of n–3 supplements. Only 8% of the study participants in EUREYE used these supplements, much less than the 63% of the British study population who took cod liver oil–based supplements (30).
Our study had several strengths. We assessed diet in the previous year, which avoided issues of changes in diet due to seasonality or to ill health. We measured a wide range of potentially confounding variables; the number of NV-AMD cases was large, and case identification was based on a rigorous analysis of digital fundus images. People with NV-AMD and controls were drawn from the same population to avoid possible biases observed in other studies in which controls were recruited from those receiving medical care. Our study was cross-sectional; therefore, caution is required when determining whether a causal association exists between EPA and DHA intakes and NV-AMD. We think that it was unlikely that people with AMD would have changed their diets because of knowledge of a possible benefit of fish consumption on AMD. In 2000, when our study started, there was only one publication showing a protective role of fish intake against AMD (15) (Table 5
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Various national, international, and professional organizations have made recommendations for fish or EPA and DHA consumption. The range of intake suggested for n–3 fatty acids is 0.2–1% of energy intake, and for EPA and DHA combined the most recent recommendations range from 400 to 1000 mg/d (29). The n–3 fatty acid content of fish, specifically DHA and EPA, varies by species and by how the fish are raised (ie, wild or farm-raised). EPA and DHA intakes range from as low as 0.134 g/85 g serving (3-oz serving equivalent) for Atlantic cod to as much as 1.83 g/85 g serving for farm salmon (29). Therefore, to meet the current recommendations of 500 mg EPA + DHA/d it has been estimated that this could be met either by consuming 2 servings (3 oz, or 85.05 g) of salmon per week or 26 servings of cod (29). n–3 Fatty acid supplements and n–3–enriched foods are therefore becoming increasingly important dietary options. Whether these intakes could be achieved by oral supplementation with DHA and EPA is currently being evaluated in a large randomized trial—AREDS2 (Internet: http://www.areds2.org/).
| ACKNOWLEDGMENTS |
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GS is an investigator in a randomized trial using n–3 supplements sponsored by Bausch and Lomb. None of the authors had a conflict of interest.
| REFERENCES |
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