Recent studies suggested that an association exists between vision loss and cognitive impairment, although it is still vague whether there are causal relationships or direct association between low vision and dementia. We were to investigate the association between low vision and dementia in the Korean population using the National Health Insurance Service (NHIS) database. We analyzed the data of 6,029,657 subjects aged ≥40 years, drawn from Korea National Health Insurance Service. The hazard ratio (HRs) and 95% confidence interval (CIs) of dementia, Alzheimer’s disease (AD), and Vascular dementia (VD) were estimated using multivariable Cox proportional hazards regression models. Statistical analysis showed that subjects with more severe visual impairments have a higher risk of dementia, AD, and VD after adjusting for compounding variables. The HRs of dementia increased significantly as visual acuity worsened (HRs 1.444 [95% CIs 1.415–1.473] for visual acuity (VA) < 1.0, 1.734 [1.693–1.777] for VA < 0.3, 1.727 [1.686–1.770] for VA < 0.1 and 1.991[1.902–2.085] for visual loss). Baseline visual loss and visual impairment were positively associated with the risk of dementia, AD, and VD. From the results of this nationwide population-based cohort study, we suggest that there is a significant increase in the incidence of dementia in subjects with low vision.
Dementia is a neurodegenerative disorder characterized by a progressive decline of memory and cognitive function1,2,3, and is recognized by the World Health Organization as a global public health priority4. Alzheimer’s disease (AD), which accounts for 60–80% of dementia, is the most common cause of dementia, followed by vascular dementia (VD)2,3,5. Current estimates suggest that 44 million people live with dementia worldwide, with global estimates predicted to quadruple by 2050 as the population ages2,6,7,8. The annual cost of dementia in the USA alone may exceed $600 billion, which is a large burden on the society9,10. Recent studies reported that the incidence of dementia in western countries may be declining whereas low and middle income countries are predicted to have the largest increase in incident dementia8,11. This discrepancy is suggested to be due to the differences in the effective management of cardiovascular disease, hypertension, and diabetes in these regions8. However, even though early recognition of risk factors for dementia is of utmost priority, the sporadic incidence of dementia is a challenge in preventive medicine2,3.
Previous studies have suggested that an association exists between vision loss and cognitive impairment12,13,14,15,16. Low vision and blindness are commonly seen in the older population as the risk of developing cataract; age-related macular degeneration and glaucoma increase with advancing age17,18, and the number of individuals with vision problems is anticipated to double by 205019,20,21,22. The direct and indirect costs of managing visual impairment are a great public health challenge22,23,24,25. An individual with visual impairment and blindness is at risk of chronic health comorbidities, physical injuries, social withdrawal, and depression12,22,24,25. Moreover, cognitive function declines and visual impairment increases with increasing age1,13.
Despite the body of evidence, there are few reports regarding causal relationships or direct association between low vision and dementia. A clear understanding of this association may facilitate the development of strategies for reducing the burden of cognitive impairment. The National Health Insurance Service (NHIS) database has recently become accessible to researchers in Korea. This large-scale database permits the identification of the longitudinal incidence of diseases and allows for the analysis of the association between diseases and health conditions. Korea also has a unique rating system for disabled people, which involves grades for applicants as decided by the National Pension Service (Ministry of Health and Welfare of the Korean government), based on purely medical criteria. Using the six levels of disability, an individual with low vision can be classified depending on his/her visual acuity. Employing the disability grade used in Korea, we were able to investigate the impact of low vision on incident dementia by using a nationwide population-based cohort that includes over 1.5 million Koreans. We also performed a more detailed research question that includes what type of poor vision, the three different comparisons (overall dementia, specifically AD and VD), and interactions between vision and other risk factors.
Baseline characteristics of the study subjects
The baseline clinical and biochemical characteristics of the subjects are summarized in Table 1. Among 6,029,657 subjects aged ≥40 years, 165,293 (2.74%), 123,497 (2.04%), and 20,678 (0.34%) were categorized into Dementia, Alzheimer’s disease (AD), and vascular dementia (VD) groups, respectively. Almost all parameters were significantly different between subjects with dementia, AD, and VD, and subjects without them (p < 0.05 almost all parameters excluding LDL for dementia and AD, income for VD); subjects with dementia, AD, and VD had less healthy statuses than subjects without dementia, AD, and VD. This may be because dementia is well known for age-related degenerative disease characteristics.
Risk of dementia, Alzheimer’s disease, and vascular dementia according to severity of visual loss and visual impairment
Dementia, AD, and VD occurred more frequently in the visual loss and visual impairment group compared to the control group and this finding was statistically significant in both model 1 and model 2 (model 1: adjusted for age and sex, model 2: adjusted for age, sex, smoking, drinking, exercise, diabetes, hypertension, and lipid levels) (Table 2). For incidence rate per 1000 persons of dementia, AD and VD were significantly increased in patients who had higher visual loss grades (grade 1, 2, 3) and more severe visual impairments (best corrected visual acuity of the worse eye <0.1, <0.3) compared to patients who had lower visual loss grades (grade 4, 5, 6) and less severe visual impairments (best corrected visual acuity of worse eye <1.0, ≥1.0) (p < 0.01). Comparison between the subgroups according to severity of visual loss and visual impairments showed that subjects with more severe visual impairments have a higher risk of dementia, AD, and VD after adjusting for compounding variables; the hazard ratios (HR) of dementia increased significantly as visual acuity worsened (HRs 1.444 [95% CIs 1.415–1.473] for visual acuity (VA) < 1.0, 1.734 [1.693–1.777] for VA < 0.3, 1.727 [1.686–1.770] for VA < 0.1 and 1.991[1.902–2.085] for visual loss).We also analyzed the incidence of the probability of dementia, AD, and VD according to severity of visual loss and visual impairments. Figure 1 shows the Kaplan-Meier cumulative probability curve of the incidence probability of dementia. Incidence probability of dementia, AD, and VD increased over time in subjects who had visual loss and more severe visual impairments compared to subjects who did not have visual loss and had less severe visual impairments (Fig. 1).
Risk of dementia in subjects with visual loss according to baseline parameters
We performed additional subgroup analysis of each type of adverse health event according to vision loss. Table 3 shows HRs (95% CI) of dementia in subjects with visual loss according to age, sex, smoking habits, drinking habits, exercise, diabetes, hypertension, and lipid levels, compared with subjects without visual loss. Subjects with visual loss, aged <65 years, or aged ≥65 years had a greater risk of developing dementia (HRs 1.550 for age <65 years and HRs 1.291 for age ≥65 years) and AD (HRs 1.537 for age <65 years and HRs 1.274 for age ≥65 years) than subjects without visual loss. There was a statistically significant interaction between age subgroups and the presence/absence of visual loss (p < 0.001 for dementia and p < 0.001 for AD). Subgroups with visual loss, no drinking habit, or mild drinking habit had a higher risk for dementia and AD than subgroups without visual loss. There was a statistically significant interaction between drinking habit and presence/absence of visual loss (p = 0.0091 for dementia and p = 0.0111 for AD). Subjects with visual loss, with diabetes or without diabetes were at a significantly greater risk of developing dementia than subjects without visual loss, and there was a significant interaction between the presence/absence of diabetes and the presence/absence of visual loss (p = 0.0323). Any other interactions of dementia with age, sex, exercise, hypertension, and lipid levels were not shown in the development of dementia, AD, and VD.
In this longitudinal nationwide study, we analyzed the risk of incident AD and VD according to visual function. Previously, there are very few studies that provide a large sample of adults with data on visual acuity and dementia incidence and diagnosis with consecutive follow-up data. The National Health Insurance System (NHIS) of Korea enables us to analyze a large dataset to examine and address the association between poor vision and dementia incidence. We also considered confounding factors including age, sex, smoking, drinking, exercise, diabetes, hypertension, and lipids levels. In addition, this study examines interactions between the covariates and poorer vision which adds a significant and important piece to address the various inconsistencies reported in the literature on vision and dementia and provides an overall picture on how other risk factors may interact with vision to influence cognitive impairment. After adjusting for confounding factors such as age, sex, smoking and drinking status, daily exercise, diabetes, hypertension, and dyslipidemia, we found that low vision increased the risk of overall dementia including AD and VD. The lower the vision of the individual, the higher the risk of dementia. Moreover, if low vision was present concurrently with risk factors, the risk of dementia was found to be higher.
Due to the increasing aging population, the prevalence of visual and cognitive impairment is increasing as well4,6,24; hearing and visual impairment is particularly common in older people with dementia23,24. Previous large-scale studies showed the association between visual impairment and cognitive function. The Singapore Malay Eye study, which included 1179 participants aged 60 to 80 years, showed that persons with visual impairment were more likely to have cognitive dysfunction after adjusting for age, sex, education level, income, and type of housing12. Using a logMAR visual acuity chart to measure visual acuity and a locally validated Abbreviated Mental Test to define cognitive dysfunction, the researchers found that those with visual impairment, particularly due to cataract, were more likely to have cognitive dysfunction. The Singapore Malay study, which was a population-based cross-sectional study had a limitation of using a lower specificity tool to define cognitive function. The Age-Related Eye Disease Study (AREDS) also suggested a possible association of advanced age-related macular degeneration and visual acuity with cognitive impairment in older persons8. Out of the available AREDS subjects, 2946 were included in the study, and increased macular abnormalities were shown to reduce mean cognitive function scores as measured with the Modified Mini-Mental State Examination and the Wechsler Logical Memory Scale. In another study that used data from the National Health and Nutrition Examination Survey (NHANES), and the National Health and Aging Trends Study (NHATS) in US adults, vision at distance and based on self-reports was found to be significantly associated with worse cognitive function after adjusting for demographics, health, and other factors24. In a national survey in the UK, significant visual impairment (VA worse than 6/12) was 32.5%, and the prevalence was disproportionately higher in people with dementia living in care homes11. Many of these studies focused on under-diagnosed and under-treated visual impairment in the dementia population. Despite many evidences that visual and cognitive impairment are related, a common intrinsic limitation of the previous cross-sectional reports is that those results could not determine whether visual impairment influences the rate of cognitive decline. The primary endpoint of our study was newly diagnosed dementia (AD and VD); therefore, patients who had dementia that was diagnosed prior to enrolment were excluded. Thus, the present study revealed that having disability and low vision is significantly associated with development of both AD and VD.
With the respect to the impact of other factors on dementia, we categorized the study subjects according to their ages, sex, lifestyle (smoking, drinking, and exercise), and metabolic status (diabetes, hypertension and dyslipidemia), and analyzed the hazard ratio after controlling confounding factors. We found that the risk of dementia was significantly higher in subjects with vision loss, who were aged less than 65 years, had a diabetes diagnosis, and who reported no or mild alcohol intake. The population younger than 65 years showed over 50% increased risk of incident dementia if the individual had a disability rating. On the contrary, the older population aged over 65 showed 29.1%, 27.4%, and 30.2% increased risk of dementia, AD, and VD, respectively, which was lower compared to the younger population. Since the most common causes of low vision may be cataract, AMD, diabetic retinopathy, and glaucoma1,2, the relatively younger subjects who have low vision and disability are prone to have systemic comorbidities and these factors could affect cognitive function as well. Subjects with diabetes had a higher HR of dementia, AD, and VD if the subjects had comorbid visual disabilities. We surmised that an individual with vision loss may have difficulty in controlling diabetes due to physical limitations and challenges in attending hospital visits. This may lead to diabetes-related complications of which dementia is suggested to be one of those.
Although a lot of progress has been made over the past decade, controversies remain regarding the pathogenesis of AD and VD13,14,16. Majority of AD occurs on an apparently sporadic basis and typical late onset AD is likely to be driven by a complex interplay between genetic and environmental factors13,14. In addition to age, risk factors for Alzheimer’s disease include vascular risk factors such as hypertension, atrial fibrillation, obesity, diabetes, ischemic heart disease, hypercholesterolemia, and other factors such as homocysteine concentrations16,26,27,28,29. Subcortical vascular disease as well as cortical infarcts attribute to VD, and the risk factors are advancing age, vascular risk, and low education; the female sex is also suggested to increase the risk of VD16,26,27,29. Interestingly, in AMD, retinal neurons are the major site of pathogenesis, and retinal disruption is the cause of vision loss8,23. Moreover, the amyloid β, which is one of the core cerebrospinal biomarkers for AD, is found in drusenoid deposits in AD patients14,30,31. In this context, AMD may be a neurodegenerative disease and may share a common pathogenic mechanism with AD.
The main strength of this study is that the data used was from a large-scale nationwide database that represents the entire Korean population. Where other studies mostly focused on the older population, we included not only the aged population but the middle-aged population (between 40 to 60 years old) as well, to analyze the association of low vision as well as aging itself with dementia. Our data suggest that visual impairment is a significant risk factor in the middle-aged and older populations. However, our study has several limitations that should be noted. Firstly, there may be a discordance between the actual number of subjects that make up the dementia population and the information of claim data. We tried to reduce the error by combining the diagnosis statements and prescription statements. Secondly, the severity of cognitive impairment was not assessed. If there is an association between visual acuity and severity of cognitive dysfunction, the causal relationship could be discussed. Additionally, since recognition functions other that vision, such as hearing loss, have received some attention for their role in the development of dementia32, more detailed analysis of general cognitive impairments needs to be performed. Thirdly, the disability grade from 1 to 6 could be due to factors other than visual impairment. In the Korean disability rating system, we could only find the grade and not the specific parameters of the grading. If the individual has good visual acuity and disability in other part of the body, he or she could be a source of bias in the data analysis. To overcome this issue, we classified the study subjects further based on disability grading and visual acuity.
In conclusion, individuals with low visual acuity have increased risks of dementia. The medical costs of these dementia are projected to almost double over the next 10 years. Therefore, attention to associated risk factors is important in terms of general health. The results of this study suggest that low visual acuity is an independent risk factor of dementia that must be considered when preparing health policies.
Materials and Methods
The National Health Insurance System (NHIS) of Korea uses data generated from two major sources: National Health Insurance (NHI), which covers 97% of the population, and Medical Aid (MA), which covers the remaining 3% of the population who have low income33,34. All Koreans have to be registered in these two programs. This database includes demographic information (e.g., age, sex, income), claim information (diagnosis defined by International Classification of Disease (ICD) codes and details of prescriptions), and health checkup information (results of basic laboratory tests and questionnaires about past medical history, current medications, and life style). In this study, we used the NHIS database, a well-confirmed cohort that represents the entire Korean population, which is over 50 million people.
We included subjects who underwent health examinations between January 1, 2009 and December 31, 2010 (index period). Out of the 17,539,992 subjects, those who had missing baseline data (n = 6,594,214), age <40 years (n = 4,815,596), those who received a diagnosis before the index period (n = 73,382), and those who went without follow-up examination within 1 year (n = 27,143) were excluded (Fig. 2). A total of 6,029,657 adults were included in the study and were followed up for 5.75 ± 0.92 years (mean ± SD). This study was approved by the Institutional Review Board of the Catholic University of Korea, and the need for informed consent for study was waived as part of the study approval.
Clinical and laboratory measurements
To generate the health examination data, all subjects completed a questionnaire on their medical history, use of tobacco and alcohol, and exercise habits. Smoking was classified as non-current or current, alcohol consumption was categorized as mild drinker (<30 g per day) or heavy drinker (≥30 g per day), and exercise level was classified as less than three times per week or moderate to vigorous exercise three or more times per week (physically active). We defined low socioeconomic status as income in the lowest 20%. Body mass index (BMI) was calculated as body weight (kg) divided by the square of the height (m2). Blood pressure (BP) was measured with the subject in a sitting position after five minutes of rest. After overnight fasting, blood samples were collected. Serum glucose, total cholesterol, triglyceride (TG), and high-density lipoprotein levels were also evaluated. Baseline comorbidities were identified as follows: hypertension (treatment with antihypertensive medication or systolic/diastolic blood pressure ≥140/90) and diabetes mellitus (DM) (treatment with antidiabetic drug or fasting glucose level ≥126 mg/dL).
Definition of incident dementia
Incident dementia and prescription of anti-dementia medication at the same time was considered a diagnosis of dementia (ICD-10 codes F00, G30, F01, F02, F03, G23.1, G31.0, G31.1, G31.82, G31.83, G31.88, and F10.7) (Table 4). The anti-dementia medications include acetylcholinesterase inhibitors (rigastigmine, galantamine, or donepezil) or N-methyl-D-aspartate antagonist (memantine). Patients with dementia were grouped into either the AD (ICD-10 codes F00 and G30) or the VD (ICD-10 code F01) group based on the diagnosis code at the first visit. If diagnoses of both AD and VD were recorded at the first visit, we used the diagnosis of the second visit as the final diagnosis. If the main diagnosis was neither AD nor VD, the dementia was defined as “other dementia”26,35.
Definition of vision loss and visual impairment
Visual acuity was measured at the initial screening. Vision loss was defined as having a visual disability grade, which is assigned based on national designation criteria (referred by Table 5). Subjects with visual disability included individuals with certifications of visual disability from the Korean government (Ministry of Health and Welfare), which is based on the medical records and documents from a certificated ophthalmologist. Visual impairment was classified as having the best corrected visual acuity of the worse eye <0.1, <0.3, <1.0, or ≥1.0. Visual disability grades 4, 5, and 6 mean less severe visual disability than grades 1, 2, and 3. In other words, the subjects with visual disability grade 1 means that the subjects have most severe visual impairments. Table 5 describes detailed criteria in visual disability grades.
Study protocol approvals and registrations
The Deliberative Committee of the Health Insurance Review and Assessment service (HIRA) approved the conditional use of the database of this study. The study adhered to the tenets of the Declaration of Helsinki, and the study protocol was reviewed and approved by the Institutional Review Board of Catholic University of Korea (SC19ZESE0061).
Statistical analyses were conducted using SAS 9.4 software (SAS institute, Cary, NC). Clinical and demographic characteristics of the study subjects are presented as mean ± SD for continuous variables, or number (percentage) for categorical variables. For each participant, the primary outcome between January 1, 2009 and December, 31 2010 was dementia, and the number of person-years follow-up was counted. Dementia, AD, and VD were assessed as incident dementia during 5.75 ± 0.92 years after the last recorded check-up. Incidence of dementia was calculated by dividing the number of events by 1,000 person-years32. Cox proportional hazards regression models were performed to evaluate the association of visual loss and visual impairments with incident dementia36,37; Bonferroni-adjusted 95% CIs were calculated as well. Model 1 was adjusted for age and sex, and Model 2 was adjusted for age, sex, smoking, drinking 3 levels, regular exercise, diabetes, hypertension, and lipid levels. Stratified analyses were performed according to age, sex, smoking 3 levels, drinking 3 levels, exercise, diabetes, hypertension, and lipid level, and interactions between subgroups were evaluated. Two tailed P values were analyzed and P < 0.05 was considered statistically significant.
The datasets generated during and/or analyzed during the present study are available from the corresponding author on reasonable request.
Bowen, M. et al. The Prevalence of Visual Impairment in People with Dementia (the PrOVIDe study): a cross-sectional study of people aged 60–89 years with dementia and qualitative exploration of individual, carer and professional perspectives in Health Services and Delivery Research (NIHR Journals Library, 2016).
Lane, C. A., Hardy, J. & Schott, J. M. Alzheimer’s disease. Eur. J. Neurol. 25, 59–70 (2018).
Scheltens, P. et al. Alzheimer’s disease. Lancet 388, 505–517 (2016).
Wortmann, M. Dementia: a global health priority - highlights from an ADI and World Health Organization report. Alzheimers Res. Ther. 4, 40 (2012).
O’Brien, J. T. & Thomas, A. Vascular dementia. Lancet 386, 1698–1706 (2015).
Hebert, L. E., Scherr, P. A., Bienias, J. L., Bennett, D. A. & Evans, D. A. Alzheimer disease in the US population: prevalence estimates using the 2000 census. Arch. Neurol. 60, 1119–1122 (2003).
Wu, Y. T. et al. The changing prevalence and incidence of dementia over time - current evidence. Nat. Rev. Neurol. 13, 327–339 (2017).
Wu, Y. T. et al. Dementia in western Europe: epidemiological evidence and implications for policy making. Lancet Neurol. 15, 116–124 (2016).
Alzheimer’s Association. 2016 Alzheimer’s disease facts and figures. Alzheimers Dement 12, 459–509 (2016).
Stefanacci, R. G. The costs of Alzheimer’s disease and the value of effective therapies. Am. J. Manag. Care 17(Suppl 13), S356–362 (2011).
Stephan, B. C. M. et al. Secular Trends in Dementia Prevalence and Incidence Worldwide: A Systematic Review. J. Alzheimers Dis. 66, 653–680 (2018).
Clemons, T. E., Rankin, M. W. & McBee, W. L. Cognitive impairment in the Age-Related Eye Disease Study: AREDS report no. 16. Arch. Ophthalmol. 124, 537–543 (2006).
Ong, S. Y. et al. Visual impairment, age-related eye diseases, and cognitive function: the Singapore Malay Eye study. Arch. Ophthalmol. 130, 895–900 (2012).
Lee, C. S. et al. Associations between recent and established ophthalmic conditions and risk of Alzheimer’s disease. Alzheimers Dement 15, 34–41 (2019).
Chen, S. P., Bhattacharya, J. & Pershing, S. Association of Vision Loss With Cognition in Older Adults. JAMA Ophthalmol 135, 963–970 (2017).
Pye, A., Charalambous, A. P., Leroi, I., Thodi, C. & Dawes, P. Screening tools for the identification of dementia for adults with age-related acquired hearing or vision impairment: a scoping review. Int. Psychogeriatr. 29, 1771–1784 (2017).
Flaxman, S. R. et al. Global causes of blindness and distance vision impairment 1990-2020: a systematic review and meta-analysis. Lancet Glob Health 5, e1221–e1234 (2017).
Kang, J. H. et al. Contribution of the Nurses’ Health Study to the Epidemiology of Cataract, Age-Related Macular Degeneration, and Glaucoma. Am. J. Public Health 106, 1684–1689 (2016).
Bourne, R. R. A. et al. Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis. Lancet Glob Health 5, e888–e897 (2017).
Evans, J. R. et al. Prevalence of visual impairment in people aged 75 years and older in Britain: results from the MRC trial of assessment and management of older people in the community. Br. J. Ophthalmol. 86, 795–800 (2002).
Stevens, G. A. et al. Global prevalence of vision impairment and blindness: magnitude and temporal trends, 1990-2010. Ophthalmology 120, 2377–2384 (2013).
Varma, R. et al. Visual Impairment and Blindness in Adults in the United States: Demographic and Geographic Variations From 2015 to 2050. JAMA Ophthalmol 134, 802–809 (2016).
Schakel, W. et al. The Economic Burden of Visual Impairment and Comorbid Fatigue: A Cost-of-Illness Study (From a Societal Perspective). Invest. Ophthalmol. Vis. Sci. 59, 1916–1923 (2018).
van Nispen, R. M., Vreeken, H. L., Comijs, H. C., Deeg, D. J. & van Rens, G. H. Role of vision loss, functional limitations and the supporting network in depression in a general population. Acta Ophthalmol 94, 76–82 (2016).
Park, S. J., Ahn, S., Woo, S. J. & Park, K. H. Extent of Exacerbation of Chronic Health Conditions by Visual Impairment in Terms of Health-Related Quality of Life. JAMA Ophthalmol. 133, 1267–1275 (2015).
Lee, J. Y. et al. Risk of Incident Dementia According to Metabolic Health and Obesity Status in Late Life: A Population-Based Cohort Study. J. Clin. Endocrinol. Metab. 104, 2942–2952 (2019).
Hasnain, M. & Vieweg, W. V. Possible role of vascular risk factors in Alzheimer’s disease and vascular dementia. Curr. Pharm. Des. 20, 6007–6013 (2014).
Lee, S. H. et al. Variability in metabolic parameters and risk of dementia: a nationwide population-based study. Alzheimers Res. Ther. 10, 110 (2018).
Tariq, S. & Barber, P. A. Dementia risk and prevention by targeting modifiable vascular risk factors. J. Neurochem. 144, 565–581 (2018).
Ratnayaka, J. A., Serpell, L. C. & Lotery, A. J. Dementia of the eye: the role of amyloid beta in retinal degeneration. Eye (Lond.) 29, 1013–1026 (2015).
Zhao, Y. et al. Beta-Amyloid Precursor Protein (betaAPP) Processing in Alzheimer's Disease (AD) and Age-Related Macular Degeneration (AMD). Mol. Neurobiol. 52, 533–544 (2015).
Livingston, G. et al. Dementia prevention, intervention, and care. Lancet. 390, 2673–2734 (2017).
Shin, D. W., Cho, B. & Guallar, E. Korean National Health Insurance Database. JAMA Intern. Med. 176, 138 (2016).
Song, S. J. et al. Trends in diabetic retinopathy and related medical practices among type 2 diabetes patients: Results from the National Insurance Service Survey 2006-2013. J. Diabetes Investig. 9, 173–178 (2018).
Cho, J. H., Suh, J. D., Han, K. D., Jung, J. H. & Lee, H. M. Uvulopalatopharyngoplasty May Reduce the Incidence of Dementia Caused by Obstructive Sleep Apnea: National Insurance Service Survey 2007–2014. J. Clin. Sleep Med. 14, 1749–1755 (2018).
Ott, A., Breteler, M. M., van Harskamp, F., Stijnen, T. & Hofman, A. Incidence and risk of dementia. The Rotterdam Study. Am. J. Epidemiol. 6, 574–580 (1998).
Kay, R. Proportional hazard regression models and the analysis of censored survival data. J. R. Stat. Soc. Ser. C (Applied Stat). 57, 289–300 (1995).
This work was supported by a grant from the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2016R1A6A1A03010528, 2016R1D1A1B03930886 and 2019R1F1A1061421) and by a grant of the Catholic University Yeouido St.Mary’s Hospital made in the program year of 2019.
The authors declare no competing interests.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Paik, JS., Ha, M., Jung, Y.H. et al. Low vision and the risk of dementia: a nationwide population-based cohort study. Sci Rep 10, 9109 (2020). https://doi.org/10.1038/s41598-020-66002-z