Cataract is a very prevalent ocular disorder, and environmental risk factors for age-related cataracts have been widely investigated. We aimed to evaluate an association of dietary sodium intake and socioeconomic factors with the development of age-related cataracts.
A cross-sectional case-control study based on the 2008–2011 Korea National Health and Nutrition Examination Survey. Dietary sodium intake was estimated using urinary sodium to creatinine ratio (U[Na+]/Cr).
Among a total 12,693 participants, 2,687 (21.1%) had cataracts and 10,006 patients without cataracts served as controls. The prevalence of cataracts increased with age and quartiles of U[Na+]/Cr (p for trend < 0.001). Multivariate logistic regression analyses revealed that factors related to the development of cataracts were age ≥ 50 years (adjusted odds ratio [aOR] 15.34, 95% confidence interval [CI] 13.31‒17.69), low income (aOR 1.85, 95% CI 1.64–2.09), low educational attainment (aOR 1.76, 95% CI 1.57–1.96), and high sodium intake (U[Na+]/Cr > 16.4 mmol/mmol; aOR 1.29, 95% CI 1.16–1.44). In a subgroup analysis, a robust effect on cataracts across U[Na+]/Cr quartiles was observed in patients ≥ 50 years of age (aOR 1.11, 95% CI 1.04–1.18), though not in younger patients (aOR 1.06, 95% CI 0.96–1.17).
Our results suggest that high sodium intake and low socioeconomic status may affect the development of cataracts, and that a low-salt diet could be helpful for the prevention of cataracts in an older population. Furthermore, efforts to close gaps in health services due to socioeconomic factors may contribute to a reduction in the prevalence of cataracts.
Citation: Bae JH, Shin DS, Lee SC, Hwang IC (2015) Sodium Intake and Socioeconomic Status as Risk Factors for Development of Age-Related Cataracts: The Korea National Health and Nutrition Examination Survey. PLoS ONE 10(8): e0136218. https://doi.org/10.1371/journal.pone.0136218
Editor: Vishal Jhanji, The Chinese University of Hong Kong, HONG KONG
Received: March 18, 2015; Accepted: July 31, 2015; Published: August 19, 2015
Copyright: © 2015 Bae et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: All relevant data are within the paper.
Funding: This study was supported by the Senior-Friendly Product R&D program funded by the Ministry of Health & Welfare thorough the Korea Health Industry Development Institute (HI14C1435, http://www.khidi.or.kr/eps). ICH received the funding. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Cataracts are a major cause of blindness worldwide, affecting primarily the population 50 years of age or older . Previous epidemiologic studies have established several risk factors for the development of cataracts including age, diabetes mellitus, hypertension, obesity, smoking, and low socioeconomic status (SES) [2–6]. Efforts to investigate environmental risk factors for age-related cataracts are in progress, and some studies have suggested a role of nutritional factors in the development of cataracts [3,7].
A hospital-based case-control study reported that high salt intake increased the risk of cataract extraction, with an odds ratio (OR) of 2.4 . A population-based cross-sectional study also showed that higher salt intake was associated with greater risk of developing posterior subcapsular cataracts . These studies suggested that sodium intake might play an important role in the pathogenesis of cataract development. Their results, however, were derived from subjective dietary questionnaires which might inaccurately measure the true amount of sodium intake .
It is difficult to monitor sodium intake in everyday life, and thus the measurement of 24-hour urine sodium excretion is a valuable method for estimating total sodium intake. However, 24-hour urine collection for the measurement of sodium excretion is quite cumbersome, and inaccurate collection often leads to confounded results . Recent studies have shown that the urinary sodium to creatinine ratio (U[Na+]/Cr) obtained from a spot urine sample strongly correlates with 24-hour urine sodium excretion [11,12]. In contrast with 24-hour urine collection, the spot urine test is convenient, inexpensive, and easily performed in clinical practice. Therefore, we aimed to evaluate the association of dietary sodium intake assessed using the U[Na+]/Cr and socioeconomic factors with the development of cataracts in the Korean population.
Materials and Methods
Data Source and Study Participants
This study was based on data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2008–2011, which is a nationwide population-based survey that is regularly performed by the Korean Ministry of Health and Welfare. This is the second and third years of the fourth (IV-2, 3) combined with the first and second years of the fifth (V-1, 2) study that uses a stratified, multistage probability sampling design for the selection of household units. Individuals were randomly selected for inclusion in the KNHANES according to sampling units based on age data drawn from household registries, economic status, sex, and geographical area . In 2008–2011, a total of 46,777 individuals greater than 1 year of age were included in the survey, and of these, 37,753 individuals participated in the health examination survey (overall response rate, 80.7%).
The survey had four components: the Health Interview Survey, the Health Behavior Survey, the Health Examination Survey, and the Nutrition Survey. All interviews and examinations were conducted in specially designed and equipped mobile centers that traveled throughout the country. Surveys were conducted using self-administered questionnaires, and interviewers were available to assist those participants who had difficulty with self-administration. Interviewers were not given any information about the specific participants in advance, and all participants provided written informed consent to participate in the study. The KNHANES studies were conducted according to the guidelines put forth in the Declaration of Helsinki. This study was approved by the Institutional Review Board of Kangbuk Samsung Hospital (IRB No. KBSMC 2014-12-002). Detailed information on the survey design has been described elsewhere [12,14].
We identified 30,401 participants who underwent ophthalmic examination. Of these, we excluded 17,708 participants due to the following: (i) age < 19 years, (ii) chronic diseases (i.e., stroke, myocardial infarction, liver disease, and malignancy), (iii) a history of diabetes mellitus or prior ocular surgery except cataract extraction , (iv) taking antihypertensive medications , and (v) renal disease or impaired renal function (serum creatinine > 1.2 mg/dl) . A history of diseases was defined by the presence of a physician’s diagnosis. Subjects who had no available data on urinary sodium or creatinine levels or the presence of cataracts were also excluded.
Information on demographic characteristics (age, sex, household income, educational attainment, and marital status), health behaviors (physical activity, smoking history, and alcohol consumption), and history of dyslipidemia diagnosed by physician was collected during the health interview. Health behaviors were assessed using questions about these habits during a one-month period before the interview. After the interview, height and body weight were measured with the participants wearing light clothing and no shoes. Body mass index (BMI) was calculated as weight in kilograms divided by the square of height in meters.
Obesity was defined as a BMI ≥ 25 kg/m2 according to the Korean Society for the Study of Obesity. Other variables were categorized as follows: economic status was classified into quartiles according to mean monthly household income, which was calculated by dividing household income by the square root of the number of persons in the household , education attainment was categorized as “middle school or lower” or “high school or beyond”, marital status was classified as “married” or “unmarried” which included “single” and “divorced/separated/widowed”, physical activity was classified as “regular physical activity” when participants engaged in moderate-intensity activity more than 5 times per week or vigorous activity more than 3 times per week or “other” based on the International Physical Activity Questionnaire short-form scoring protocol , smoking status was classified as “non-smoker” or “past or current smoker”, alcohol consumption was categorized as “problem drinker”, which was defined as more than 7 drinks (men) or 5 drinks (women) in one sitting and more than 2 days per week, or “other”.
As a part of the standardized ophthalmic examination, lens status was evaluated with slit-lamp biomicroscopy (Haag-Streit model BQ-900, Haag-Streit AG, Koeniz, Switzerland) by certified, experienced ophthalmologists using standard photographs from the Lens Opacities Classification System III (LOCS III) . Lens opacities were classified as cortical (LOCS III score ≥ 2 for cortical cataracts), nuclear (LOCS III score ≥ 4 for nuclear opalescence/color), posterior subcapsular (LOCS III score ≥ 2 for posterior subcapsular cataracts), and mixed cataracts (more than one type per eye) . The presence of cataracts was defined as any one or more types of lens opacity or evidence of cataract extraction in at least one eye, while absence of cataract was defined in participants with no evidence of lens opacity or prior cataract surgery. The quality of the ophthalmic survey and cataract evaluation was verified by the Epidemiologic Survey Committee of the Korean Ophthalmologic Society .
Spot urine samples were collected in the morning after fasting for at least 8 hours. Analysis of spot urine levels of sodium and creatinine was performed using a Hitachi Automatic Analyzer 7600 (Hitachi Ltd., Tokyo, Japan), and U[Na+]/Cr was calculated (mmol/mmol).
All statistical analyses were performed using STATA SE 9.2 (STATA Corp., TX, USA), which incorporates sample weights and adjusts the analyses for the complex sample design of the survey. Survey sample weights were used to produce estimates that are representative of the non-institutionalized civilian Korean population.
We used independent t-tests or χ2 tests to estimate differences in the characteristics of participants according to the presence of cataracts. We used the logistic regression model to identify factors related to the development of cataracts. Each independent variable that was statistically significant on univariate analysis was evaluated in the final multivariate logistic model. Furthermore, to assess its association with the development of cataracts, U[Na+]/Cr was categorized by quartiles as follows: Q1 (≤ 6.8), Q2 (6.8–10.7), Q3 (10.7–16.4), and Q4 (> 16.4). The ORs and 95% confidence intervals (CIs) for cataract development were calculated for each quartile before and after adjusting for potential confounding variables. These associations were also assessed in multiple logistic regression analyses using log2-transformed U[Na+]/Cr as a continuous variable. All statistical tests were two-sided, and statistical significance was determined at p < 0.05.
Characteristics of Participants
Of the 30,401 eligible participants, 12,693 were included in the final analysis (Fig 1). Table 1 shows the characteristics of participants stratified by the presence or absence of cataracts. Participants in the cataract group were older than those in the non-cataract group (62.3 ± 10.9 vs. 40.0 ± 11.5 years, p < 0.001). In the cataract group, the proportions of participants with low economic or educational status, those that were married, past smokers, and those with dyslipidemia were much higher than those observed in the non-cataract group. The mean value of U[Na+]/Cr was significantly higher in the cataract group than in the non-cataract group (16.2 ± 9.5 vs. 11.7 ± 7.6 mmol/mmol, p < 0.001). We further analyzed the data according to subtypes of cataracts: cortical (n = 579), nuclear (n = 1,563), and posterior subcapsular cataracts (n = 110). However, no significant differences in the median value of U[Na+]/Cr were found among subtypes (p = 0.836).
Factors Related to Development of Cataracts
Table 2 lists the factors related to the development of cataracts. On univariate analysis, participants with age ≥ 50 years (OR 24.48, p < 0.001), low household income (OR 2.73, p < 0.001), low educational attainment (OR 8.74, p < 0.001), unmarried status (OR 0.76, p < 0.001), dyslipidemia (OR 2.25, p < 0.001), and high sodium intake (OR 2.71, p < 0.001) were more likely to develop cataracts. On multivariate analysis, the significance of high sodium intake remained robust (adjusted OR [aOR] 1.29, p < 0.001), along with older age (aOR 15.34, p < 0.001), low household income (aOR 1.76, p < 0.001), and low educational attainment (aOR 1.85, p < 0.001).
Cataracts and U[Na+]/Cr
The prevalence of cataracts was significantly increased according to age and quartile of U[Na+]/Cr (both, p for trend < 0.001) (Fig 2). Table 3 shows the ORs and 95% CIs for developing cataracts according to quartiles of U[Na+]/Cr in different age groups. In contrast to the younger group, the group ≥ 50 years of age exhibited a significant association between a high U[Na+]/Cr and the risk of developing cataracts, and the aOR for doubling U[Na+]/Cr was 1.13 (95% CI 1.05–1.22, p < 0.01). On logistic regression analysis using quartiles of U[Na+]/Cr, the significance of trends across quartiles (aOR 1.11, 95% CI 1.04–1.18; p < 0.01) and in quartile 4 (aOR 1.12, 95% CI 1.04–1.19; p < 0.01) was found after adjusting for potential confounders in patients ≥ 50 years of age.
In this nationwide population-based survey, subjects ≥ 50 years of age with a high U[Na+]/Cr had a significantly higher prevalence of cataracts compared to those with low U[Na+]/Cr. We initially excluded subjects who had potential risk factors for cataract development. Thus, this study demonstrates that high sodium intake may increase the risk of cataract development in apparently healthy subjects, which is in line with previously reported results. Our findings, however, should be interpreted cautiously since the pathophysiology of this association in an older population is unclear. It may be the case that elderly people may be more vulnerable to salty diets compared with younger people in the development of cataracts.
An Italian hospital-based study of 207 patients who underwent cataract surgery reported significantly higher sodium intake in the study group compared with the control group . In addition, the Blue Mountain Eye Study, which was a population-based cross-sectional study (n = 2,873), similarly showed that a high-salt diet might increase the risk of developing posterior subcapsular cataracts . Individual sodium intake in those studies was based on assessment of self-reported dietary questionnaires.
Our study had several strengths over previous studies. First, this was a large population-based study, and all participants came from an ethnically homogenous population which may have reduced racial variability. Second, dietary sodium intake was evaluated using spot urine analysis for U[Na+]/Cr, which correlates well with 24-hour urine sodium excretion. This method may provide a more accurate and objective estimation of individual sodium intake than subjective dietary questionnaires [11,12]. Finally, clinical ophthalmic data were collected independently from demographic data, health behaviors, medical history, and laboratory studies. This independent data collection might reduce the potential for bias.
The mechanism of cataractogenesis due to high sodium intake is unclear, though an animal study using Dahl salt-sensitive rats suggested that a marked Na+/K+ electrolyte imbalance in the aqueous humor and the lens was significantly associated with the formation of cataracts . An imbalance in serum sodium levels caused by a chronic high-salt diet led to a rise in the aqueous humor and lenticular sodium concentrations, which might exceed the capacity of the Na+/K+ channels in the lens and result in the expansion of extracellular fluid volume and development of lens opacities . This volume-related mechanism is quite similar to that responsible for systemic hypertension, which is a known risk factor for developing cataracts. From this perspective, however, the risk for cataract development is not directly increased by systemic hypertension, but rather both hypertension and cataracts may be the consequence of the expansion in extracellular fluid volume induced by high sodium intake. This is supported by evidence that the restriction of dietary sodium intake prevented the development of hypertension and cataracts with normalization of the lenticular and aqueous humor sodium concentrations in Dahl salt-sensitive rats .
In our study, socioeconomic factors such as low household income and educational attainment were strongly associated with the prevalence of cataracts. Taken together with previous findings, it could be speculated that people with low SES may have difficulties accessing medical services and obtaining information on health risk prevention [24,25]. Therefore, the rates of cataract surgeries are presumed to be lower in people with low SES, which may contribute to higher cataract prevalence .
Given that socioeconomic factors are closely related to dietary patterns, SES should be considered as a potential confounder when evaluating the association between dietary intake and the development of cataracts [3,27]. People with low SES tend to have poorer dietary habits such as high fat and sugar diets, and several studies have reported an association of hypertriglyceridemia and hyperglycemia with the development of cataracts [28–31]. We also found that higher serum triglyceride and total cholesterol levels and lower high-density lipoprotein levels were associated with the presence of cataracts in the study population (individual data not shown), although this association did not persist after adjustment. As people with diabetes were excluded from the study, the effects of hyperglycemia might be attenuated in our results. A recent study in a Japanese population reported that low SES was significantly associated with high salt intake, which has been suggested as a risk factor for cataract formation in our study as well as in earlier epidemiologic studies . Thus, both high sodium intake and low SES could be confounding factors to each other in analyzing their association with cataracts. Our multivariate analysis results, however, showed that both high sodium intake and low SES are independent risk factors for the development of cataracts.
Previous epidemiologic studies have suggested that smoking is associated with a high prevalence of cataracts [26,33,34]. In this study, however, we could not identify an association between smoking history (including both current and past smokers) and cataract prevalence. The relationship might be affected by the duration or amount of smoking, but these quantitative data were not available for analysis. This discrepancy may also be derived from the ethnic differences, random variation in study populations, or different study designs (i.e., a greater number of past smokers in the cataract group may indicate the reverse causality), though further investigation is needed.
We observed no significant differences in the prevalence of cataract according to sex. In both the United States and Korea the prevalence of cataract is reported to be higher in females than in males, while no significant differences are observed in Myanmar or China [20,35–37]. This disparity among studies might be due to differences in study samples or designs. To assess the relationship between sodium intake and cataract, we excluded subjects with factors that could affect sodium intake or excretion or that would increase the risk of cataracts. As a result, sex differences regarding the prevalence of cataract might be diluted throughout the exclusion process.
This study has several limitations. First, its cross-sectional design does not permit us to infer causal relationships between cataract development and risk factors. Further prospective research is warranted to determine causality. Second, ocular examinations were performed by multiple examiners because the KNHANES is a large population-based study, and therefore the possibility of misclassification cannot be excluded. In addition, as data regarding some of the diseases addressed in this study were collected using an interviewer-administered questionnaire, there may be reporting errors resulting from recall bias. Third, although U[Na+]/Cr seems to be correlated with the measurement of 24-hour sodium excretion for assessing dietary sodium intake, there are limitations of using U[Na+]/Cr such as temporal variation of sodium excretion and individual differences in 24-hour creatinine excretion [11,38]. Fourth, several risk factors for cataracts, such as ultraviolet light exposure, dietary antioxidant intake, and the number of children born (in females) were not investigated in this study. Despite these limitations, this study’s findings are highly informative. We identified a significant association of sodium intake and SES with the development of cataracts in patients ≥ 50 years of age. Our results provide further evidence that a low-salt diet may be helpful for the prevention of cataracts. In addition, efforts to close gaps in access to health services according to the SES may contribute to a reduction in the prevalence of cataracts. Well-designed prospective studies and collaborative research to confirm these relationships are warranted.
We thank all members in the Epidemiologic Survey Committee of the Korean Ophthalmologic Society for conducting ophthalmologic examinations in the KNHANES and for supplying data.
Conceived and designed the experiments: JHB ICH. Performed the experiments: JHB ICH. Analyzed the data: JHB DSS SCL ICH. Contributed reagents/materials/analysis tools: JHB DSS SCL ICH. Wrote the paper: JHB ICH.
- 1. Leske MC, Sperduto RD. The epidemiology of senile cataracts: a review. Am J Epidemiol. 1983;118: 152–165. pmid:6349331
- 2. Klein BE, Klein R, Lee KE. Diabetes, cardiovascular disease, selected cardiovascular disease risk factors, and the 5-year incidence of age-related cataract and progression of lens opacities: the Beaver Dam Eye Study. Am J Ophthalmol. 1998;126: 782–790. pmid:9860001
- 3. Hodge WG, Whitcher JP, Satariano W. Risk factors for age-related cataracts. Epidemiol Rev. 1995;17: 336–346. pmid:8654515
- 4. West S, Munoz B, Emmett EA, Taylor HR. Cigarette smoking and risk of nuclear cataracts. Arch Ophthalmol. 1989;107: 1166–1169. pmid:2757547
- 5. Miglior S, Bergamini F, Migliavacca L, Marighi P, Orzalesi N. Metabolic and social risk factors in a cataractous population. A case-control study. Dev Ophthalmol. 1989;17: 158–164. pmid:2792516
- 6. Glynn RJ, Christen WG, Manson JE, Bernheimer J, Hennekens CH. Body mass index. An independent predictor of cataract. Arch Ophthalmol. 1995;113: 1131–1137. pmid:7661746
- 7. Tavani A, Negri E, La Vecchia C. Food and nutrient intake and risk of cataract. Ann Epidemiol. 1996;6: 41–46. pmid:8680624
- 8. Cumming RG, Mitchell P, Smith W. Dietary sodium intake and cataract: the Blue Mountains Eye Study. Am J Epidemiol. 2000;151: 624–626. pmid:10733045
- 9. Bentley B. A review of methods to measure dietary sodium intake. J Cardiovasc Nurs. 2006;21: 63–67. pmid:16407739
- 10. Christopher-Stine L, Petri M, Astor BC, Fine D. Urine protein-to-creatinine ratio is a reliable measure of proteinuria in lupus nephritis. J Rheumatol. 2004;31: 1557–1559. pmid:15290735
- 11. Mann SJ, Gerber LM. Estimation of 24-hour sodium excretion from spot urine samples. J Clin Hypertens. 2010;12: 174–180.
- 12. Lee SG, Lee W, Kwon OH, Kim JH. Association of urinary sodium/creatinine ratio and urinary sodium/specific gravity unit ratio with blood pressure and hypertension: KNHANES 2009–2010. Clin Chim Acta. 2013;424: 168–173. pmid:23751483
- 13. Choi YJ, Kim HC, Kim HM, Park SW, Kim J, Kim DJ. Prevalence and management of diabetes in Korean adults: Korea National Health and Nutrition Examination Surveys 1998–2005. Diabetes Care. 2009;32: 2016–2020. pmid:19675201
- 14. Choi JA, Han K, Park YM, La TY. Low serum 25-hydroxyvitamin D is associated with myopia in Korean adolescents. Invest Ophthalmol Vis Sci. 2014;55: 2041–2047. pmid:24699557
- 15. Ederer F, Hiller R, Taylor HR. Senile lens changes and diabetes in two population studies. Am J Ophthalmol. 1981;91: 381–395. pmid:7211996
- 16. Deaton A, Lubotsky D. Mortality, inequality and race in American cities and states. Soc Sci Med. 2003;56: 1139–1153. pmid:12600354
- 17. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35: 1381–1395. pmid:12900694
- 18. Chylack LT Jr, Wolfe JK, Singer DM, Leske MC, Bullimore MA, Bailey IL, et al. The Lens Opacities Classification System III. The Longitudinal Study of Cataract Study Group. Arch Ophthalmol. 1993;111: 831–836. pmid:8512486
- 19. Kim TN, Lee JE, Lee EJ, Won JC, Noh JH, Ko KS, et al. Prevalence of and factors associated with lens opacities in a Korean adult population with and without diabetes: the 2008–2009 Korea National Health and Nutrition Examination Survey. PLoS One. 2014;9: e94189. pmid:24718421
- 20. Yoon KC, Mun GH, Kim SD, Kim SH, Kim CY, Park KH, et al. Prevalence of eye diseases in South Korea: data from the Korea National Health and Nutrition Examination Survey 2008–2009. Korean J Ophthalmol. 2011;25: 421–433. pmid:22131780
- 21. Rodríguez-Sargent C, Cangiano JL, Berríos Cabán G, Marrero E, Martínez-Maldonado M. Cataracts and hypertension in salt-sensitive rats. A possible ion transport defect. Hypertension. 1987;9: 304–308. pmid:3028958
- 22. Mirsamadi M, Nourmohammadi I, Imamian M. Comparative study of serum Na+ and K+ levels in senile cataract patients and normal individuals. Int J Med Sci. 2004;1: 165–169. pmid:15912195
- 23. Rodríguez-Sargent C, Berrios G, Irrizarry JE, Estapé ES, Cangiano JL, Martínez-Maldonado M. Prevention and reversal of cataracts in genetically hypertensive rats through sodium restriction. Invest Ophthalmol Vis Sci. 1989;30: 2356–2360. pmid:2807792
- 24. Dandona R, Dandona L. Socioeconomic status and blindness. Br J Ophthalmol. 2001;85: 1484–1488. pmid:11734525
- 25. Klein R, Klein BE, Jensen SC, Moss SE, Cruickshanks KJ. The relation of socioeconomic factors to age-related cataract, maculopathy, and impaired vision. The Beaver Dam Eye Study. Ophthalmology. 1994;101: 1969–1979. pmid:7997336
- 26. Wu R, Wang JJ, Mitchell P, Lamoureux EL, Zheng Y, Rochtchina E, et al. Smoking, socioeconomic factors, and age-related cataract: The Singapore Malay Eye study. Arch Ophthalmol. 2010;128: 1029–1035. pmid:20697004
- 27. Cumming RG, Mitchell P, Smith W. Diet and cataract: the Blue Mountains Eye Study. Ophthalmology. 2000;107: 450–456. pmid:10711880
- 28. McLaren L. Socioeconomic status and obesity. Epidemiol Rev. 2007;29: 29–48. pmid:17478442
- 29. Jahn CE, Janke M, Winowski H, von Bergmann K, Leiss O, Hockwin O. Identification of metabolic risk factors for posterior subcapsular cataract. Ophthalmic Res. 1986;18: 112–116. pmid:3737111
- 30. Hiller R, Sperduto RD, Reed GF, D'Agostino RB, Wilson PW. Serum lipids and age-related lens opacities: a longitudinal investigation: the Framingham Studies. Ophthalmology. 2003;110: 578–583. pmid:12623825
- 31. Kanthan GL, Mitchell P, Burlutsky G, Wang JJ. Fasting blood glucose levels and the long-term incidence and progression of cataract—the Blue Mountains Eye Study. Acta Ophthalmol. 2011;89: e434–438. pmid:21457484
- 32. Miyaki K, Song Y, Taneichi S, Tsutsumi A, Hashimoto H, Kawakami N, et al. Socioeconomic status is significantly associated with dietary salt intakes and blood pressure in Japanese workers (J-HOPE Study). Int J Environ Res Public Health. 2013;10: 980–993. pmid:23478398
- 33. Krishnaiah S, Vilas K, Shamanna BR, Rao GN, Thomas R, Balasubramanian D. Smoking and its association with cataract: results of the Andhra Pradesh eye disease study from India. Invest Ophthalmol Vis Sci. 2005;46: 58–65. pmid:15623755
- 34. Tan JS, Wang JJ, Younan C, Cumming RG, Rochtchina E, Mitchell P. Smoking and the long-term incidence of cataract: the Blue Mountains Eye Study. Ophthalmic Epidemiol. 2008;15: 155–161. pmid:18569810
- 35. Congdon N, Vingerling JR, Klein BE, West S, Friedman DS, Kempen J, et al. Prevalence of cataract and pseudophakia/aphakia among adults in the United States. Arch Ophthalmol. 2004;122: 487–494. pmid:15078665
- 36. Athanasiov PA, Casson RJ, Sullivan T, Newland HS, Shein WK, Muecke JS, et al. Cataract in rural Myanmar: prevalence and risk factors from the Meiktila Eye Study. Br J Ophthalmol. 2008;92: 1169–1174. pmid:18650216
- 37. Seah SK, Wong TY, Foster PJ, Ng TP, Johnson GJ. Prevalence of lens opacity in Chinese residents of Singapore: the tanjong pagar survey. Ophthalmology. 2002;109: 2058–2064. pmid:12414415
- 38. Rhee MY, Kim JH, Shin SJ, Gu N, Nah DY, Hong KS, et al. Estimation of 24-hour urinary sodium excretion using spot urine samples. Nutrients. 2014;6: 2360–2375. pmid:24955740