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Psychiatry Investig > Volume 23(1); 2026 > Article
Bae, Kang, Jung, and Lee: Risk of Psychiatric Disorders Following Carpal Tunnel Syndrome: A Nationwide Cohort Study

Abstract

Objective

Despite the suspected link between carpal tunnel syndrome (CTS)—a common neuropathy—and psychiatric issues, long-term evidence, especially in Asia, remains scarce. This study investigated the long-term incidence of depression, anxiety, somatoform, and sleep disorders after CTS diagnosis in a South Korean nationwide cohort.

Methods

Using the Korean National Health Insurance Service cohort (2002-2013), newly diagnosed CTS patients (2004-2013) were identified following a 2-year washout period. Each CTS patient was propensity score-matched 1:10 with non-CTS controls based on demographics and health status. Cox proportional hazards regression yielded adjusted hazard ratios (aHRs) for incident depressive, anxiety, somatoform, and sleep disorders over up to 10 years of follow-up.

Results

Compared to controls, CTS patients had significantly elevated risks for all outcomes: depressive disorders (aHR, 1.59; 95% confidence interval [CI], 1.45-1.74), anxiety disorders (aHR, 1.41; 95% CI, 1.31-1.52), somatoform disorders (aHR, 1.38; 95% CI, 1.23-1.55), and sleep disorders (aHR, 1.36; 95% CI, 1.25-1.49). Risk was notably higher in individuals aged <60 years for all disorders. Males showed higher risks for depression, anxiety, and sleep disorders, while females had a slightly higher risk for somatoform disorders.

Conclusion

This comprehensive, longitudinal study indicated that CTS is associated with an increased long-term risk of psychiatric disorders. The findings emphasize comprehensive management strategies that integrate mental health screening and interventions tailored to age and sex among patients with CTS.

INTRODUCTION

Carpal tunnel syndrome (CTS), induced by the compression of the median nerve within the carpal tunnel, is the most prevalent entrapment neuropathy worldwide [1]. It is estimated to afflict approximately 14.4% of the global population at least once in their lifetime [2]. CTS can induce pain, numbness, sensory disturbances, and muscle weakness in the hand, leading to impaired daily functioning and diminished productivity, thus imposing a considerable socioeconomic burden. According to the U.S. Bureau of Labor Statistics, in 2015, patients with CTS required an average of 28 days of medical leave [3], and the mean cost of non-surgical treatment was USD 95,736 (±92,841) [4].
Recent studies suggest that CTS is not merely a physical condition but may also be closely linked to various psychiatric disorders. Chronic pain, functional limitations, and diminished quality of life have been identified as key contributors to declining mental health [5-7]. Several cross-sectional and clinical studies have demonstrated that patients with CTS show significantly higher prevalence of depression, anxiety, and sleep disturbances compared to the general population [8,9], suggesting a complex interplay between physical illness and mental health.
Furthermore, psychiatric disorders accompanying CTS can significantly impact the course of the disease. Depression, anxiety, and sleep disorders have been closely associated with symptom exacerbation, declining treatment response, and increased functional impairment in CTS, which may ultimately lead to deterioration in overall health status and diminished social functioning [10,11].
Despite these implications, longitudinal studies examining the long-term risk of developing psychiatric disorders following a CTS diagnosis remain scarce, particularly in Asian populations. Therefore, this study aimed to test the hypothesis that individuals diagnosed with CTS are at increased risk of developing psychiatric disorders, including depression, anxiety, somatoform disorder, and sleep disorder. Using a nationwide cohort from the Korean National Health Insurance Service, we conducted a hypothesis-driven analysis to assess the incidence of these conditions after CTS diagnosis. By providing evidence on the association between CTS and mental health, this research seeks to support the development of clinical and policy frameworks for integrated patient care.

METHODS

Data sources

This study utilized data from the 2002-2013 Korean National Health Insurance Service-National Sample Cohort (NHIS-NSC), provided by the National Health Insurance Service (NHIS) of Korea. South Korea operates a mandatory universal health insurance system that covers approximately 98% of the population, and enrollees are eligible for regular health screenings every 1 to 2 years based on their age, sex, and health risk factors [12]. The NHIS-NSC comprises approximately one million individuals who underwent health examinations in 2002, selected via a stratified random sampling method based on 1,476 strata defined by sex, age, and income level [13]. The dataset includes all healthcare utilization records, diagnostic codes, and health screening results assigned to the participants from January 2002 to December 2013.
The study was exempt from institutional review board (IRB) approval by the Sungshin Women’s University IRB (SSWUIRB-2025-034). Informed consent was waived as the NHIS data were anonymized and contained no personally identifiable information.

Case and control group selection

The CTS cohort was defined as individuals assigned the International Classification of Diseases, 10th Revision (ICD-10) diagnostic code G56.0 for CTS as a primary or secondary diagnosis at least twice during the observation period between January 2004 and December 2013 (Table 1). The index date for the CTS group was set as the date of the second recorded diagnosis. To include only newly diagnosed cases, a 2-year washout period (from 2002 to 2003) was applied, and individuals with a CTS diagnosis during this period were excluded.
To mitigate potential confounding by medical conditions associated with psychiatric disorders, individuals with preexisting neurological, infectious, congenital, or systemic conditions known to affect mental health were excluded. This included moderate-to-severe traumatic brain injury, stroke, brain tumors, congenital brain malformations, tuberculosis, human immunodeficiency virus (HIV), central nervous system infections, neurodevelopmental disorders, metabolic disorders, electrolyte imbalances, Alzheimer’s disease, dementia with Lewy bodies, and autoimmune encephalitis. Individuals with a history of congenital anomalies, previous exposure to general anesthesia for surgery, or a family history of malignancy were also excluded. However, individuals with common chronic conditions such as hypertension or diabetes were retained in the cohort because of their high population prevalence and relatively low direct psychiatric impact of these conditions.
Further exclusion criteria were as follows: 1) lack of a health screening record within two years before the index date, 2) age under 20 or over 79 years at the index date, and 3) diagnosis of any psychiatric outcome of interest within the 2 years preceding the index date.
Controls were selected from the eligible population not diagnosed with CTS during the observation period, after applying the same exclusion criteria as cases. Controls were selected in a 1:10 ratio from among individuals of the same age, sex, and year of health examination as cases with the closest propensity score to cases. The propensity score calculation included smoking status, alcohol consumption, body mass index (BMI), total cholesterol, systolic and diastolic blood pressure, fasting blood glucose (FBS), and income level. Single imputation using predictive mean matching was employed in cases of missing data. The index date for controls was assigned to be the same as that of the matched CTS cases. The selection process for the case and control groups is illustrated in Figure 1.

Study outcome

The primary outcomes of interest in this study were the new-onset diagnoses of four major psychiatric disorders: depressive disorders (F32, F33), anxiety disorders (F40, F41), somatoform disorders (F45), and sleep disorders (F51, G47). The occurrence of each outcome was defined as the assignment of the corresponding ICD-10 code at least once during the follow-up period (Table 1).

Variables

Variables included in the analysis were age, sex, smoking status, alcohol consumption, BMI, total cholesterol, systolic blood pressure, diastolic blood pressure, FBS, and income level. The values closest to the date of the health screening were used for each variable.

Statistical analysis

To compare baseline characteristics between the CTS and control groups, standardized differences (SDs) were calculated, with values <0.1 interpreted as indicating negligible differences. Incidence rates (IRs) per 1,000 person-years and incidence rate ratios (IRRs) were applied to compare the occurrence of psychiatric disorders between the CTS and control groups. Kaplan-Meier survival curves were constructed to illustrate the cumulative incidence of newly diagnosed psychiatric disorders, and the log-rank test was employed to assess differences between groups. The end of follow-up was defined as the earliest occurrence of a psychiatric diagnosis, death, or the end of the study period (December 31, 2013).
To evaluate the association between CTS and each psychiatric disorder, multivariable Cox proportional hazards regression models were employed to estimate adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs). All statistical analyses were conducted using R software (version 4.4.1, R Foundation for Statistical Computing). Two-sided tests were conducted, and a p-value of <0.05 was considered statistically significant.

RESULTS

After applying the exclusion criteria to the adult population in the KNHIS cohort, a total of 6,347 individuals with depression, 6,045 with anxiety, 6,489 with somatoform disorder, and 6,289 with sleep disorder were included in their respective CTS case cohorts (Table 2 and Supplementary Table 1). For each cohort, the person-years of follow-up and mean follow-up duration for both the case and control groups are presented in Table 2 and Supplementary Table 1. In all cohorts, the SDs in demographic and clinical characteristics between the CTS and control groups were less than 0.1, indicating negligible imbalance (Supplementary Table 2).
Table 2 summarizes the crude IRs per 1,000 person-years and IRRs of psychiatric disorders in the CTS and control groups. Over a 10-year follow-up period, 13.5% of CTS patients were newly diagnosed with anxiety disorders, followed by 10.1% with sleep disorders, 8.9% with depressive disorders, and 5.6% with somatoform disorders. Anxiety disorder had the highest incidence rate: 40.35 (95% CI, 37.59-43.16) per 1,000 person-years in the CTS group and 28.79 (95% CI, 28.07-29.52) in the control group. Somatoform disorder had the lowest incidence rate, with 16.11 (95% CI, 14.48-17.78) in the CTS group and 11.32 (95% CI, 10.89-11.75) in the control group.
Comparisons of IRs between the CTS and control groups yielded the following IRRs: 1.61 (95% CI, 1.47-1.76) for depressive disorders, 1.42 (95% CI, 1.28-1.59) for somatoform disorders, 1.40 (95% CI, 1.30-1.51) for anxiety disorders, and 1.38 (95% CI, 1.27-1.50) for sleep disorders. Stratified IRs and IRRs according to age, sex, smoking status, alcohol consumption, BMI, total cholesterol, and income level are presented in Supplementary Table 3.
Figure 2 presents Kaplan-Meier survival curves depicting the cumulative incidence of psychiatric disorders over a 10-year follow-up period in the CTS and control groups. Across all psychiatric outcomes, individuals with CTS demonstrated a significantly greater decline in survival probability compared to controls, with this effect persisting throughout the long-term follow-up. Age- and sex-stratified curves are shown in Supplementary Figures 1-4.
Multivariable Cox proportional hazards regression analyses—adjusted for age, sex, smoking status, alcohol consumption, BMI, total cholesterol, and income level—revealed a consistently elevated risk of all psychiatric disorders among patients with CTS (Figure 3). The highest aHR was observed for depressive disorders (aHR, 1.59; 95% CI, 1.45-1.74), followed by anxiety disorders (aHR, 1.41; 95% CI, 1.31-1.52), somatoform disorders (aHR, 1.38; 95% CI, 1.23-1.55), and sleep disorders (aHR, 1.36; 95% CI, 1.25-1.49). Stratified HRs by age and sex are presented in Supplementary Figure 5.
Stratified analyses by age indicated that patients aged <60 years had a higher risk of all psychiatric outcomes compared to those aged ≥60 years. This age-related disparity was most prominent in depressive disorders, with an aHR of 1.67 (95% CI, 1.49-1.87) for patients aged <60 years and 1.45 (95% CI, 1.24-1.69) for those aged ≥60 years.
Sex-stratified analyses showed that males exhibited higher aHRs than females for all psychiatric disorders except somatoform disorder. The most significant sex difference was noted in anxiety disorders, with an aHR of 1.59 (95% CI, 1.29-1.96) in males and 1.39 (95% CI, 1.28-1.50) in females. In contrast, for somatoform disorders, the aHR was slightly higher in females (1.38; 95% CI, 1.22-1.56) than in males (1.34; 95% CI, 0.95-1.90).

DISCUSSION

Summary of findings and pathophysiological implications

In this study, approximately 6,000 patients with CTS were propensity score-matched at a 1:10 ratio with controls for each of the following four psychiatric disorders: depression, anxiety, somatoform disorder, and sleep disorder. The results consistently demonstrated an elevated risk of all psychiatric outcomes among individuals with CTS. This increased risk persisted for up to 10 years following CTS diagnosis, suggesting a potential long-term psychological burden associated with the condition.
Neuropathic pain, a hallmark feature of CTS, may be a key contributor to the development of psychiatric disorders. Chronic pain can induce central sensitization, a process by which the central nervous system becomes hyperresponsive to nociceptive stimuli, thereby amplifying pain perception [5]. This heightened sensitivity may result in frustration, helplessness, and a perceived loss of control over one’s condition, which in turn may increase vulnerability to anxiety and depression [14]. Pain catastrophizing, a cognitive tendency to exaggerate the perceived threat of pain, is associated with elevated levels of anxiety and depression [15]. Furthermore, persistent pain may disrupt sleep architecture, leading to sleep disorders [16].

Depressive disorders

Depressive disorder showed the greatest increase in risk among all psychiatric outcomes following CTS diagnosis, with patients exhibiting an approximately 1.6-fold higher risk compared to controls. A large-scale retrospective cohort study using data from general practices in Germany similarly reported an elevated risk of depression within five years after a new diagnosis of CTS, with an aHR of 1.29 (95% CI, 1.25-1.33) [14]. This finding aligns with a prior cross-sectional study, which reported that approximately 40% of CTS patients experience depressive symptoms [8,15].
In patients with CTS, depressive symptoms are commonly characterized by diminished motivation, a sense of helplessness in managing symptoms, and a pessimistic outlook on recovery. These symptoms are closely associated with pain intensity, increased functional impairment, and higher overall symptom burden [7,17]. Furthermore, baseline depressive symptoms have been associated with less favorable postoperative outcomes, underscoring the clinical relevance of incorporating psychological assessment and management into the overall treatment strategy for CTS [18].

Anxiety disorders

Anxiety disorders exhibited the second-highest aHR following CTS diagnosis, at 1.41 (95% CI, 1.31-1.52). A comprehensive retrospective study using general practice data from Germany similarly reported a significantly higher 5-year incidence of anxiety among CTS patients (3.9%) compared to controls (3.6%; p<0.001), with an aHR of 1.14 (95% CI, 1.08-1.21) after adjusting for comorbidities [14]. A case-control study conducted in Syria also demonstrated significantly higher anxiety scores among CTS patients compared to matched controls [7]. Notably, higher anxiety levels were associated with increased symptom perception, and a few patients reported significant anxiety despite normal findings on nerve conduction studies. These findings suggest that anxiety may exacerbate the perception of pain and sensory disturbances in patients with CTS.

Somatoform disorders

Somatoform disorders are characterized by physical symptoms that are medically unexplained or disproportionate to clinical findings, and are often considered to be driven by psychological distress [19]. In the present study, patients with CTS exhibited a 1.4-fold increased risk of developing somatoform disorders compared to matched controls. Although research on the prevalence of somatoform disorders following CTS remains scarce, a 1994 study comparing psychiatric comorbidity in patients with CTS and chronic low-back pain reported a 14% prevalence of somatoform symptoms among CTS patients [20]. These findings suggest that chronic pain conditions such as CTS may trigger or exacerbate somatization tendencies in susceptible individuals and highlight the potential role of psychological interventions in improving treatment outcomes. In this study, CTS was not associated with an increased risk of somatoform disorders in males, consistent with previous findings that these disorders are more prevalent in females because of biological and sociocultural factors [21-24].

Sleep disorders

CTS was associated with a 1.36-fold increased risk of sleep disorders, likely due to nocturnal symptoms such as pain and numbness [16]. Previous studies have consistently reported that the majority of patients with CTS experience poor sleep quality and reduced sleep duration, underscoring sleep disturbance as a key clinical characteristic of the condition [9]. Furthermore, increased symptom severity has significantly correlated with shorter sleep duration and poorer sleep quality. Notably, impaired sleep quality may exacerbate symptoms of depression and anxiety, contributing to a self-reinforcing cycle of psychological distress [25-27]. These findings suggest that early recognition and management of sleep disturbances in patients with CTS may be critical for mitigating mental health decline and improving overall clinical outcomes.

Age and sex differences

In this study, a significantly increased risk of all examined psychiatric disorders was observed among younger individuals, and among male patients for all disorders except somatoform disorder. These findings suggest that the psychological impact of CTS is not limited to traditionally high-risk groups such as older adults or females, but may extend across demographic groups regardless of age or sex.
In working-age adults, CTS-related functional impairment may undermine occupational identity and exacerbate psychological burden, particularly among primary income earners. Previous studies have linked CTS with unemployment, diminished work performance, and elevated rates of depression and anxiety, with males potentially at greater risk because of internalization of distress [5,28,29]. These findings suggest that CTS may serve as both a physical and mental health risk, underscoring the need for age- and sex-specific psychiatric screening and intervention.

Strengths and limitations

This study has several limitations. First, the analysis did not account for the severity of CTS or the specific treatments received. Second, both CTS and psychiatric diagnoses were based on administrative claims data, which may be subject to misclassification or diagnostic coding errors. Third, potential confounding factors such as family history of psychiatric disorders were not available and, therefore, could not be considered. Nevertheless, the study has notable strengths. It utilized a large, nationwide, population-based cohort, thereby enhancing statistical power and generalizability. Additionally, rigorous propensity score matching and adjustment for multiple confounders enhanced the validity of the observed association between CTS and subsequent psychiatric disorders.
In conclusion, this study utilized a nationwide population-based cohort in South Korea to demonstrate that patients with CTS experience elevated risk of developing depressive disorders, anxiety disorders, somatoform disorders, and sleep disorders over 10 years following diagnosis. The risk was particularly pronounced among individuals aged under 60 years across all psychiatric outcomes, and among males for all outcomes except somatoform disorder.

Supplementary Materials

The Supplement is available with this article at https://doi.org/10.30773/pi.2025.0155.
Supplementary Table 1.
Mean follow follow-up duration for each cardiovascular disease among ischemic stroke cases and controls.
pi-2025-0155-Supplementary-Table-1.pdf
Supplementary Table 2.
Baseline demographic characteristics of patients with carpal tunnel syndrome ( and control group group.
pi-2025-0155-Supplementary-Table-2.pdf
Supplementary Table 3.
Crude incidence rates and risk ratios for psychiatric disorders among patients with carpal tunnel syndrome (CTS) and controls controls.
pi-2025-0155-Supplementary-Table-3.pdf
Supplementary Figure 1.
Kaplan-Meier curves for depressive disorder stratified by sex and age group. A: Age <60 years. B: Age ≥60 years. C: Male. D: Female.
pi-2025-0155-Supplementary-Fig-1.pdf
Supplementary Figure 2.
Kaplan-Meier curves for anxiety disorder stratified by sex and age group. A: Age <60 years. B: Age ≥60 years. C: Male. D: Female.
pi-2025-0155-Supplementary-Fig-2.pdf
Supplementary Figure 3.
Kaplan-Meier curves for somatoform disorder stratified by sex and age group. A: Age <60 years. B: Age ≥60 years. C: Male. D: Female.
pi-2025-0155-Supplementary-Fig-3.pdf
Supplementary Figure 4.
Kaplan-Meier curves for sleep disorder stratified by sex and age group. A: Age <60 years. B: Age ≥60 years. C: Male. D: Female.
pi-2025-0155-Supplementary-Fig-4.pdf
Supplementary Figure 5.
Forest plot of aHRs for psychiatric disorders in patients with carpal tunnel syndrome compared to matched controls stratified by age and sex: (A) depressive disorder, (B) anxiety disorder, (C) somatoform disorder, and (D) sleep disorder. Adjusted for age, sex, smoking status, alcohol consumption, body mass index, total cholesterol, and income. CI, confidence interval.
pi-2025-0155-Supplementary-Fig-5.pdf

Notes

Availability of Data and Material

The datasets analyzed in this study can be obtained from the corresponding authors upon reasonable request.

Conflicts of Interest

The authors have no potential conflicts of interest to disclose.

Author Contributions

Conceptualization: Youngoh Bae, Seung Won Lee. Formal analysis: Hohyun Jung. Funding acquisition: Hohyun Jung, Seung Won Lee. Methodology: Hohyun Jung, Seung Won Lee. Writing—original draft: Youngoh Bae, Chaeyoon Kang. Writing—review & editing: all authors.

Funding Statement

This research was supported by SungKyunKwan University and the BK21 FOUR (Graduate School Innovation) funded by the Ministry of Education (MOE, Korea), and by the National Research Foundation (NRF) of Korea, funded by the Korean government (MSIT and MOE): NRF [2021-R1-I1A2(059735)], RS [2024-0040(5650)], RS [2024-0044(0881)], and RS [2019-II19(0421)] to Seung Won Lee, and RS [2024-0045(5553)] to Hohyun Jung.

Acknowledgments

None

Figure 1.
Flowchart for case and control group selection. CTS, carpal tunnel syndrome; NPD, neuropsychiatric disorder; PD, psychiatric disorder.
pi-2025-0155f1.jpg
Figure 2.
Kaplan-Meier curve of psychiatric disease-free survival in patients with carpal tunnel syndrome (CTS) and controls: (A) depressive disorder, (B) anxiety disorder, (C) somatoform disorder, and (D) sleep disorder.
pi-2025-0155f2.jpg
Figure 3.
Forest plot of aHRs for psychiatric disorders in patients with carpal tunnel syndrome compared to matched controls using a multivariable Cox proportional hazards model: (A) depressive disorder, (B) anxiety disorder, (C) somatoform disorder, and (D) sleep disorder. Adjusted for age, sex, smoking status, alcohol consumption, body mass index, total cholesterol, and income. aHR, adjusted hazard ratio; CI, confidence interval.
pi-2025-0155f3.jpg
Table 1.
List of ICD-10 codes used to identify and exclude participants with pre-existing conditions during the selection process
Disease ICD-10 codes
Index disease: Carpal tunnel syndrome G56.0
Outcome diseases: Psychiatric disorders
 Depressive disorder F32, F33
 Anxiety disorder F40, F41
 Somatoform disorder F45
 Sleep disorder F51, G47
Exclusion diseases
 All mental and behavioral disorders F00-F99
 Metabolic disorders E70-E90
 Central nervous system infections G00-G04, A81, B00.4, B01.1
 Tuberculosis, HIV infection A15-A19, B20-B24
 Autoimmune encephalitis G04.8, G04.81
 Congenital brain malformations Q00-Q07
 Brain tumor C70-C71, D32-D33
 Cerebrovascular diseases I60-I69
 Insomnia G47.0
 Huntington’s disease, Parkinson’s disease G10, G20
 Multiple system atrophy G23.1
 Alzheimer’s disease, dementia with Lewy bodies G30, G31.83
 Demyelinating diseases of the central nervous system G35-G37
 Epilepsy and status epilepticus G40-G41
 Transient cerebral ischemic attacks G45
 Cerebral palsy G80
 Hydrocephalus G91
 Traumatic brain injury and skull fractures S06, S02.0, S02.1, S02.7
 History of intentional self-harm or suicide attempts X60-X84
 Chromosomal abnormalities Q90-Q99

ICD-10, International Classification of Diseases, 10th Revision.

Table 2.
Crude IRs and IRRs for psychiatric disorders among cases and matched controls
Case cohort
Reference cohort
IRR (95% CI)
No. of participants Cases Person-years IR per 1,000 person-years (95% CI) No. of participants Cases Person-years IR per 1,000 person-years (95% CI)
Depressive disorder 6,347 564 22,001.49 25.63 (23.54-27.77) 63,470 3,602 225,993.56 15.94 (15.42-16.46) 1.61 (1.47-1.76)
Anxiety disorder 6,045 818 20,272.13 40.35 (37.59-43.16) 60,450 5,992 208,119.39 28.79 (28.07-29.52) 1.40 (1.30-1.51)
Somatoform disorder 6,489 366 22,722.15 16.11 (14.48-17.78) 64,890 2,601 229,825.23 11.32 (10.89-11.75) 1.42 (1.28-1.59)
Sleep disorder 6,289 638 21,668.69 29.44 (27.18-31.75) 62,890 4,725 221,621.66 21.32 (20.72-21.93) 1.38 (1.27-1.50)

IR, incidence rate; IRR, incidence rate ratio; CI, confidence interval.

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