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HOME > J Mov Disord > Volume 19(2); 2026 > Article
Letter to the editor
Impact of Socioeconomic Status on the Risk of Disability Registration and Cognitive Decline in Patients With Parkinson’s Disease: A Nationwide Cohort Study
Myung Jun Lee1orcid, Dong Wook Kim2orcid, Kyoungjune Pak3orcid, Minkyeong Kim4orcid, Jae-Hyeok Lee5corresp_iconorcid
Journal of Movement Disorders 2026;19(2):232-234.
DOI: https://doi.org/10.14802/jmd.25330
Published online: February 27, 2026

1Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Biomedical Research Institute, Busan, Korea

2Department of Information and Statistics, Department of Bio & Medical Big Data, Research Institute of Natural Science, Gyeongsang National University, Jinju, Korea

3Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Korea

4Department of Neurology, Gyeongsang National University Hospital, Jinju, Korea

5Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea

Corresponding author: Jae-Hyeok Lee, MD, PhD Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, 20 Geumo-ro, Mulgeum-eup, Yangsan 50612, Korea / Tel: +82-55-360-2453 / Fax: +82-55-360-2152 / E-mail: jhlee.neuro@pusan.ac.kr
• Received: December 14, 2025   • Revised: February 11, 2026   • Accepted: February 27, 2026

Copyright © 2026 The Korean Movement Disorder Society

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Dear Editor,
Socioeconomic status (SES) is associated with various health-related outcomes. Studies in patients with Parkinson’s disease (PD) have demonstrated associations between income level and mortality [1], as well as between the community deprivation index and motor severity [2]. However, the influence of SES on progression-related outcomes in PD remains to be explored.
Given the challenges of collecting comprehensive socioeconomic data in routine clinical practice, we utilized the nationwide claims database of the National Health Insurance Service (NHIS). In this study, disability registration and the use of cognitive-enhancing medications—reflecting significant functional impairment in activities of daily living—were employed as potential indicators for progression-related outcomes in PD. We analyzed the associations of income levels and residential areas with the risks of disability registration and cognitive impairment in patients with PD.
From January to December 2023, we identified newly diagnosed PD patients with the G20 code of the International Classification of Diseases, 10th Revision, Clinical Modification and the V124 code of the rare incurable disease classification in the NHIS database. The detailed study protocol is provided in the Supplementary Material. The NHIS claims data provide standardized NHI premium deciles (1–20) that correlate acceptably with actual income regardless of subscription type (i.e., workplace workers or regional subscribers) [3]. By including the population with medical aid, we classified the income levels of the enrollees into five categories: medical aid (monthly income <40% of the median; the lowest level) and NHI premium quartiles (Q1–Q4). Residential areas were categorized into capital (Seoul), metropolises (Busan, Incheon, Daejeon, Daegu, Gwangju, and Ulsan), other cities, and rural areas. To adjust for potential comorbidities, the Charlson Comorbidity Index was included in the statistical models [1]. The NHIS database contains records of disability registration due to brain lesions. In the present study, cognitive impairment was defined to be present in patients if they were prescribed a cholinesterase inhibitor or memantine. The dataset was analyzed between April and November 2025.
In total, data from 95,093 PD patients were analyzed. Detailed demographics are provided in Supplementary Table 1. During the study period, the medical aid group had fewer total days of supply compared to the NHIS premium groups (Supplementary Figure 1). Among 74,655 individuals not previously registered in the National Disability Registration System, 18,621 (24.9%) were newly registered as disabled. In a conditional logistic regression model using age, sex, and comorbidities as covariates, patients with NHI premiums had a significantly higher risk of disability registration than those receiving medical aid (Table 1 and Supplementary Table 2). Moreover, odds ratios (ORs) for NHI premiums showed an increasing trend in correlation with higher income levels. In addition, compared with PD patients living in Seoul and metropolitan cities, those in nonmetropolitan cities and rural areas had a significantly lower risk of disability registration (referenced by Seoul; other cities, OR 0.865, 95% confidence interval [CI] 0.822–0.911, p<0.001; rural areas, OR 0.726, 95% CI 0.677–0.778, p<0.001). In contrast, a Cox proportional hazards model using the same covariates demonstrated that low income level was associated with a high risk of cognitive impairment. Hazard ratios were comparable across the NHI premium groups. Regarding residential area, PD patients in Seoul had the lowest risk of cognitive impairment (Table 1 and Supplementary Table 3).
Epidemiologic studies have shown an association between SES and cognitive impairment in the general population [4-6]. A decrease in individual income levels is associated with an increased risk of dementia and a reduced duration of dementiafree periods across the lifespan [5]. Although SES factors are not completely independent, preserved community resources contribute to a slow decline in cognitive parameters [6]. High SES is associated not only with healthier lifestyles and superior medication adherence but also with greater volumes in cortical and subcortical structures, including the hippocampus, striatum, amygdala, and thalamus [4]. Our study confirms that the impact of SES factors on the risk of cognitive impairment remains valid in PD patients.
In contrast to previous studies of mortality among PD patients [1], our results indicated that high income and residence in metropolitan areas (i.e., Seoul and other metropolitan cities) were associated with a high risk of disability registration. Our dataset cannot establish a precise causal relationship; however, the benefits of the welfare system may offer meaningful advantages for PD patients who participate in social and occupational activities. In South Korea, disability registration provides tax benefits, employment support, and mobility assistance. In addition, Seoul and other metropolitan cities are better equipped with neurologists, imaging modalities, and other medical infrastructures. Although the risk of PD increases with age, metropolitan areas—despite their relatively younger demographics— report a higher prevalence of PD per 100,000 persons than nonmetropolitan areas [7]. Indeed, our supplementary analysis indicated that neurologist density per 100,000 persons was significantly correlated with PD prevalence (Supplementary Figure 2). These findings underscore that SES disparities, including the availability of healthcare infrastructures, may influence the frequency of both PD diagnosis and disability registration.
In claim data, PD diagnoses can be inaccurate, and NHI premiums represent overall economic capacity rather than individual earnings. Moreover, many elderly individuals utilize healthcare services as NHIS dependents. Despite the potential for misclassification, household-level SES remains a widely accepted and standardized indicator in nationwide database research. In light of these considerations, our results underscore the need for targeted public interventions, such as specialized cognitive screening and social support programs, to mitigate the risk of cognitive impairment in PD patients. Regarding disability registration, our results raise concern regarding a potential mismatch between clinical disability and policy utilization, suggesting that medical resources and welfare benefits might be disproportionately concentrated. Further research is warranted to directly observe the longitudinal effects of SES on PD progression.
The Data Supplement is available with this article at https://doi.org/10.14802/jmd.25330.
Supplementary Material
Study protocol
jmd-25330-Supplementary-Material.pdf
Supplementary Table
Supplementary Table 1. Demographic characteristics of PD population
Supplementary Table 2. Risk for brain lesion-disability registration among PD population
Supplementary Table 3. Risk for cognitive impairment among PD population
jmd-25330-Supplementary-Table.xlsx
Supplementary Figure 1.
Total days of supply for anti-parkinsonian medications
jmd-25330-Supplementary-Fig-1.pdf
Supplementary Figure 2.
Correlation between Regional Neurologist Density and Parkinson’s Disease Diagnosis Rates
jmd-25330-Supplementary-Fig-2.pdf

Ethics Statement

The Institutional Review Board of Pusan National University Hospital approved the study protocol and waived the need for informed consent because the study used public data (approval number: 2501-003-146).

Conflicts of Interest

The authors have no financial conflicts of interest.

Funding Statement

This study was supported by grants from the Korea Health Technology R&D Project through the Korean Healthy Industry Development Institute, funded by the Ministry of Health & Welfare, Republic of Korea (RS-2023-00265377) and Glocal University 30 Project at Pusan National University through the Institute for Regional System & Education in Busan Metropolitan City, funded by the Ministry of Education (MOE) and the Busan Metropolitan City, Republic of Korea (2025-glocal-02-004-812-01).

Acknowledgments

None

Author Contributions

Conceptualization: Myung Jun Lee, Jae-Hyeok Lee. Data curation: Dong Wook Kim, Kyoungjune Pak, Minkyeong Kim. Formal analysis: Myung Jun Lee, Dong Wook Kim. Funding acquisition: Myung Jun Lee, Jae-Hyeok Lee. Investigation: Myung Jun Lee, Dong Wook Kim. Methodology: Myung Jun Lee, Jae-Hyeok Lee. Supervision: Kyoungjune Pak, Minkyeong Kim, Jae-Hyeok Lee. Validation: Kyoungjune Pak, Minkyeong Kim, Jae-Hyeok Lee. Writing—original draft: Myung Jun Lee. Writing—review & editing: Dong Wook Kim, Kyoungjune Pak, Minkyeong Kim, Jae-Hyeok Lee.

Table 1.
Influence of SES factors on the risks of disability registration and cognitive impairment
Predictors–Outcomes PD
n (%) OR/HR (95% CI) p
Income levels–Disability registration due to brain lesion (n=14,397)
 Medical aid 590 (8.9) 1 (reference)
 NHI premium Q1 2,061 (21) 2.055 (1.857–2.273) <0.001
 NHI premium Q2 2,077 (22.2) 2.083 (1.883–2.305) <0.001
 NHI premium Q3 3,284 (22.7) 2.153 (1.956–2.371) <0.001
 NHI premium Q4 6,385 (21.2) 2.269 (2.07–2.487) <0.001
Income levels–Cognitive impairment (n=59,760)
 Medical aid 7,935 (70.32) 1 (reference)
 NHI premium Q1 7,870 (60.64) 0.868 (0.834–0.903) <0.001
 NHI premium Q2 7,196 (59.31) 0.854 (0.821–0.889) <0.001
 NHI premium Q3 11,454 (60.13) 0.820 (0.790–0.850) <0.001
 NHI premium Q4 25,305 (63.82) 0.818 (0.792–0.845) <0.001
Residential areas–Disability registration due to brain lesion (n=14,397)
 Seoul 3,135 (23.5) 1 (reference)
 Metropolitans 3,716 (22.5) 0.988 (0.933–1.046) 0.673
 Other cities 5,915 (19.6) 0.865 (0.822–0.911) <0.001
 Rural areas 1,631 (15.6) 0.726 (0.677–0.778) <0.001
Residential areas–Cognitive impairment (n=59,760)
 Seoul 10,045 (57.68) 1 (reference)
 Metropolitans 13,928 (63.45) 1.183 (1.147–1.22) <0.001
 Other cities 26,299 (63.52) 1.135 (1.103–1.166) <0.001
 Rural areas 9,488 (66.24) 1.151 (1.113–1.19) <0.001

Results of conditional logistic regression (for disability registration and disability registration due to brain lesion) and Cox proportional hazards regression models (for cognitive impairment). Full statistics are shown in Supplementary Tables 2 and 3.

PD, Parkinson’s disease; OR, odds ratio; HR, hazard ratio; CI, confidence interval.

  • 1. Yoon SY, Shin J, Chang JS, Lee SC, Kim YW. Effects of socioeconomic status on mortality after Parkinson’s disease: a nationwide populationbased matched cohort study in Korean populations. Parkinsonism Relat Disord 2020;80:206–211.ArticlePubMed
  • 2. Hill EJ, Marcucci SB, DeLano K, Abanto J, Sawyer RP, Marsili L, et al. Community disadvantage is associated with more severe motor symptoms in Parkinson disease. Neurol Clin Pract 2025;15:e200506. ArticlePubMedPMC
  • 3. Seo NK, Ahn SZ. A study on the adequacy of National Health Insurance premium quantiles as the basis for determining income level. KSPR 2021;28:265–288.Article
  • 4. Ou YN, Zhang YB, Li YZ, Huang SY, Zhang W, Deng YT, et al. Socioeconomic status, lifestyle and risk of incident dementia: a prospective cohort study of 276730 participants. Geroscience 2024;46:2265–2279.ArticlePubMedPDF
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      Impact of Socioeconomic Status on the Risk of Disability Registration and Cognitive Decline in Patients With Parkinson’s Disease: A Nationwide Cohort Study
      Impact of Socioeconomic Status on the Risk of Disability Registration and Cognitive Decline in Patients With Parkinson’s Disease: A Nationwide Cohort Study
      Predictors–Outcomes PD
      n (%) OR/HR (95% CI) p
      Income levels–Disability registration due to brain lesion (n=14,397)
       Medical aid 590 (8.9) 1 (reference)
       NHI premium Q1 2,061 (21) 2.055 (1.857–2.273) <0.001
       NHI premium Q2 2,077 (22.2) 2.083 (1.883–2.305) <0.001
       NHI premium Q3 3,284 (22.7) 2.153 (1.956–2.371) <0.001
       NHI premium Q4 6,385 (21.2) 2.269 (2.07–2.487) <0.001
      Income levels–Cognitive impairment (n=59,760)
       Medical aid 7,935 (70.32) 1 (reference)
       NHI premium Q1 7,870 (60.64) 0.868 (0.834–0.903) <0.001
       NHI premium Q2 7,196 (59.31) 0.854 (0.821–0.889) <0.001
       NHI premium Q3 11,454 (60.13) 0.820 (0.790–0.850) <0.001
       NHI premium Q4 25,305 (63.82) 0.818 (0.792–0.845) <0.001
      Residential areas–Disability registration due to brain lesion (n=14,397)
       Seoul 3,135 (23.5) 1 (reference)
       Metropolitans 3,716 (22.5) 0.988 (0.933–1.046) 0.673
       Other cities 5,915 (19.6) 0.865 (0.822–0.911) <0.001
       Rural areas 1,631 (15.6) 0.726 (0.677–0.778) <0.001
      Residential areas–Cognitive impairment (n=59,760)
       Seoul 10,045 (57.68) 1 (reference)
       Metropolitans 13,928 (63.45) 1.183 (1.147–1.22) <0.001
       Other cities 26,299 (63.52) 1.135 (1.103–1.166) <0.001
       Rural areas 9,488 (66.24) 1.151 (1.113–1.19) <0.001
      Table 1. Influence of SES factors on the risks of disability registration and cognitive impairment

      Results of conditional logistic regression (for disability registration and disability registration due to brain lesion) and Cox proportional hazards regression models (for cognitive impairment). Full statistics are shown in Supplementary Tables 2 and 3.

      PD, Parkinson’s disease; OR, odds ratio; HR, hazard ratio; CI, confidence interval.


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