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. 2025 Dec 23;58(6):2095–2102. doi: 10.1007/s11255-025-04913-4

Association between mental disorder and hospitalization outcomes in neurogenic bladder: a retrospective nationwide inpatient sample database study

Qianying Liao 1,#, Min Zheng 1,✉,#, Ming Ni 2,#, Junyang Zhou 3,#, Hao Xie 4,#
PMCID: PMC13194213  PMID: 41430520

Abstract

Purpose

We examined the relationship between psychiatric comorbidities—namely depression, anxiety, and combined depression-anxiety—and hospitalization outcomes among patients diagnosed with neurogenic bladder. Using a large, nationally representative database, the study sought to generate evidence for refining clinical guidelines and improving patient management.

Methods

A retrospective study was performed using National Inpatient Sample (NIS) records from 2010–2019, identifying 676,826 adults with neurogenic bladder. Mental health comorbidities were classified through ICD-9/ICD-10 coding for depression (n = 125,654), anxiety (n = 77,730), and depression with anxiety (n = 34,330). Outcomes assessed included hospital length of stay, total charges, in-hospital mortality, and specific urological complications. Descriptive statistics and logistic regression analyses were applied, with adjustments for demographic and hospital-related variables.

Results

Depression, anxiety, and depression-anxiety were found in 13.5%, 6.4%, and 5.1% of cases, respectively, with higher rates among older adults and women. Anxiety was associated with elevated risks of hydronephrosis (OR 1.420), urinary tract infections (OR 1.050), urinary stones (OR 1.511), and acute renal failure (OR 1.246), whereas the odds of cystitis were reduced (OR 0.636). Patients with both depression and anxiety exhibited comparable complication patterns, while depression alone showed no significant associations. Surprisingly, individuals with any of these psychiatric conditions had shorter median hospital stays (5 vs 6 days) and lower mortality (1.8–2.4% vs 3.7%).

Conclusion

Mental health comorbidities in patients with neurogenic bladder are linked to a nuanced spectrum of outcomes. Anxiety increases the risk of several urological complications yet may confer protective effects regarding mortality. These results underscore the importance of systematic psychological assessment and integrated multidisciplinary management in neurogenic bladder care.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11255-025-04913-4.

Keywords: Neurogenic bladder, Depression, Anxiety, Urological complications, Hospital outcomes, Mental health comorbidity

Introduction

Neurogenic bladder represents a heterogeneous urological disorder that develops when neurological impairments—affecting either the central nervous system (CNS) or peripheral nerves—disrupt normal bladder control [1–3]. Clinical manifestations encompass urinary incontinence, retention, recurrent infections, and sexual dysfunction [4–6]. Data from the Nationwide Emergency Department Sample (NEDS) suggest that, within the U.S. population, the incidence rose from 46.1 per 100,000 individuals in 2006 to 50.9 per 100,000 in 2011, equating to an annual increase of 1.89% (P = 0.017) [7]. In a U.S. claims database study including 46,271 patients with neurogenic bladder from April 2002 to March 2007, upper urinary tract infection occurred in 1.4–2.2%, while severe complications such as sepsis (2.6–4.7%) and acute renal failure (0.8–2.2%) were also observed [8]. On average, individuals with neurogenic bladder attend 16 outpatient visits and 0.5 emergency visits annually, with approximately one-third of the latter resulting in hospitalization [4]. These findings highlight that neurogenic bladder not only contributes substantially to morbidity and mortality but also imposes a significant burden on patients’ quality of life.

Despite diagnostic and therapeutic advances, affected patients continue to experience major physical and psychological burdens [2, 5, 9]. Neurogenic bladder with detrusor overactivity often causes incontinence, which may lead to embarrassment, depression, social withdrawal, pressure ulcers, urethral injury, and upper tract deterioration [10]. Patients with neurogenic lower urinary tract dysfunction (NLUTD) are particularly vulnerable to psychological distress, resulting in isolation, diminished self-esteem, and poorer long-term outcomes [11].

Although the impact of psychiatric comorbidities on in-hospital outcomes has been documented in other urological populations, this relationship remains largely unexplored in individuals with neurogenic bladder. Studies of patients with lower urinary tract dysfunction and urinary incontinence have shown that depression and anxiety are common, contribute to worsening health-related quality of life, and increase healthcare burden, including inpatient utilization and complications [12–14]. Similarly, in patients with bladder and prostate cancer, preexisting mental health illness has been associated with poorer survival outcomes, underscoring the broader prognostic relevance of mental health in urology [15].

To address this gap, we evaluated the impact of psychiatric comorbidities—including depression, anxiety, and their co-occurrence—on hospitalization metrics. Depression and anxiety were selected because they are highly prevalent and clinically significant psychiatric comorbidities frequently reported in association with neurogenic lower urinary tract dysfunction and related urological disorders. Studies in neurological and urological populations have shown that these disorders frequently coexist with urinary symptoms, contribute to greater psychosocial burden, and are associated with reduced adherence to self-care and treatment [16–18]. We compared demographics, length of stay, charges, and complication incidence between patients with and without such comorbidities, leveraging a nationally representative dataset to provide evidence for improved guidelines and management.

Materials and methods

We conducted a retrospective study using NIS (Nationwide Inpatient Sample) data from 2010–2019, one of the largest inpatient datasets provided by the Healthcare Cost and Utilization Project (HCUP). The NIS includes records from approximately 4400 hospitals across 45 U.S. states. Patient, hospital, and state identifiers are anonymized, and because this study utilized publicly available de-identified data, Institutional Review Board approval was not required.

Study population

Adults aged ≥ 18 years with a principal diagnosis of neurogenic bladder (n = 676,826) were identified from the Nationwide Inpatient Sample (NIS) using ICD-9-CM and ICD-10-CM codes. Neurogenic bladder cases were determined based on the concurrent presence of neurological disorders and urinary tract diagnoses, following established approaches used in large-scale NIS studies. [7, 19] Because the NIS does not include a specific variable explicitly indicating neurogenic bladder, all hospitalization records meeting this definition were included to comprehensively capture clinically significant admissions related to neurogenic bladder or its complications. Comorbid psychiatric conditions were identified from secondary diagnosis fields, including depression (n = 125,654), anxiety (n = 77,730), and coexisting depression-anxiety (n = 34,330).

Variables and outcomes

Demographics included age, sex, race, and number of comorbidities. Hospital characteristics comprised insurance type, hospital size, admission type, teaching status, location, and region. Primary outcomes were the occurrence of urological and systemic complications, including hydronephrosis, urinary tract infection, urinary calculi, acute renal failure, and cystitis, as identified through ICD-9/10 codes. Secondary outcomes include hospital length of stay (LOS), total hospitalization charges, and all-cause in-hospital mortality. Psychiatric comorbidities (depression, anxiety, and their co-occurrence) served as key predictor variables for these outcomes. LOS referred to the number of nights hospitalized for neurogenic bladder, while charges excluded professional fees and non-covered items.

Statistical analysis

Categorical data were summarized descriptively, and continuous variables were compared using independent t-tests. Logistic regression models were used to evaluate the associations between psychiatric comorbidities and the primary outcome (complications), adjusting for demographics, comorbidities, and hospital factors. Additional models examined the impact of psychiatric comorbidities on secondary outcomes (LOS, total charges, and mortality). A two-tailed p-value < 0.001 indicated significance. Analyses were performed in SPSS version 26 (IBM Corp., Armonk, NY).

Results

A total of 676,826 neurogenic bladder inpatients were identified. Depression was present in 91,324 (13.5%), anxiety in 43,400 (6.4%), and comorbid depression-anxiety in 34,330 (5.1%).

Older age groups had the highest prevalence: ages 45–64 (30.7–33.2%), 65–74 (21.1–22.5%), and ≥ 75 (28.3–33.5%) compared to 18–44 (12.8–16.3%, p < 0.001). Women predominated in all categories (60.6% anxiety, 56.2% depression, 63.7% comorbid; p < 0.001). By race, White patients had the greatest prevalence (72.8–79.1%). Comorbidities were more common in those with mental disorders, with ≥ 3 comorbidities reported in over 89% of depression and depression-anxiety groups (p < 0.001) (Table 1).

Table 1.

Demographics of patients with neurogenic bladder (2010–2019)

Characteristics Without mental condition Anxiety Depression Depression comorbid anxiety p
Total (n = count) 507,772 43,400 91,324 34,330
Total incidence (%) 75.0 6.4 13.5 5.1
Age group (%)
 18–44 13.1 16.3 12.8 16.0  < 0.001
 45–64 27.0 30.7 32.1 33.2
 65–74 20.3 21.1 21.5 22.5
  ≥ 75 39.5 32.0 33.5 28.3
Gender (%)
 Male 53.1 39.4 43.8 36.3  < 0.001
 Female 46.9 60.6 56.2 63.7
Race (%)
 White 66.1 75.7 72.8 79.1  < 0.001
 Black 15.5 9.1 10.9 7.9
 Hispanic 8.0 7.0 6.2 5.8
 Asian or Pacific Islander 2.3 1.1 1.2 0.8
 Native American 0.5 0.5 0.5 0.5
 Other 7.6 6.7 8.3 6.0
Number of comorbidity (%)
 0 2.1 1.7 0.0 0.0  < 0.001
 1 10.5 9.1 1.6 1.6
 2 18.2 17.2 9.1 9.0
 ≥ 3 69.2 72.0 89.3 89.4

Psychiatric groups also had higher rates of chronic pulmonary disease, drug use, hypothyroidism, liver disease, obesity, and psychoses (all p < 0.001). (Table 2)

Table 2.

Comorbidities of patients with neurogenic bladder (2010–2019)

Comorbidities Without mental condition Anxiety Depression Depression comorbid anxiety p
 Acquired immune deficiency syndrome 1224(0.2%) 118(0.3%) 245(0.3%) 90(0.3%) 0.285
 Deficiency anemia 92,441(18.2%) 7123(16.4%) 18,901(20.7%) 5426(15.8%)  < 0.001
Rheumatoid arthritis/collagen vascular diseases 11,451(2.3%) 1285(3.0%) 2648(2.9%) 1061(3.1%)  < 0.001
 Chronic blood loss anemia 5721(1.1%) 450(1.0%) 932(1,0%) 345(1.0%) 0.005
Congestive heart failure 72,157(14.2%) 5617(12.9%) 11,917(13.0%) 4416(12.9%)  < 0.001
 Chronic pulmonary disease 82,081(16.2%) 10,025(23.1%) 18,306(20.0%) 8333(24.3%)  < 0.001
Coagulopathy 35,356(7.0%) 2609(6.0%) 5385(5,9%) 2050(6.0%)  < 0.001
 Diabetes, uncomplicated 99,019(19,5%) 7022(16.2%) 17,977(19.7%) 5599(16.3%)  < 0.001
Diabetes with chronic complications 54,465(10.7%) 4419(10.2%) 9906(10.8%) 3993(11.6%)  < 0.001
 Drug abuse 12,967(2.6%) 2458(5.7%) 3207(3.5%) 1924(5.6%)  < 0.001
Hypertension 292,326(57.6%) 26,035(60.0%) 54,761(60.0%) 20,909(60.9%)  < 0.001
 Hypothyroidism 71,010(14.0%) 7749(17.9%) 16,806(18.4%) 6743(19.6%)  < 0.001
Liver disease 13,522(2,7%) 1481(3.4%) 2631(2.9%) 1251(3.6%)  < 0.001
 Fluid and electrolyte disorders 202,405(39.9%) 16,103(37.1%) 35,242(38.6%) 12,702(37.0%)  < 0.001
Other neurological disorders 193,143(38.0%) 16,373(37.7%) 40,213(44.0%) 13,822(40.3%)  < 0.001
 Obesity 52,877(10.4%) 5893(13.6%) 12,398(13.6%) 5665(16.5%)  < 0.001
Paralysis 237,790(46.8%) 19,109(44.0%) 38,682(42.2%) 14,922(43.5%)  < 0.001
 Peripheral vascular disorders 32,910(6.5%) 2579(5.9%) 5885(6.4%) 2102(6.1%)  < 0.001
Psychoses 31,987(6.3%) 7226(16.6%) 3768(4.1%) 1649(4.8%)  < 0.001
 Pulmonary circulation disorders 14,155(2.8%) 1222(2.8%) 2266(2.5%) 839(2.4%)  < 0.001
Renal failure 82,189(16.2%) 5673(13.1%) 13,179(14.4%) 4571(13.3%)  < 0.001
 Peptic ulcer disease excluding bleeding 1656(0.3%) 175(0.4%) 270(0.3%) 168(0.5%)  < 0.001
Valvular disease 26,676(5.3%) 2245(5.2%) 4185(4.6%) 1546(4.5%)  < 0.001
 Weight loss 60,464(11.9%) 4759(11.0%) 9992(10.9%) 3695(10.8%)  < 0.001

Median LOS was shorter among patients with anxiety or depression-anxiety (5 days) compared to those without psychiatric conditions (6 days). Corresponding total charges were lower: $34,498 for anxiety, $38,445 for depression, and $36,454 for comorbid depression-anxiety, versus $38,727 in controls (Table 3).

Table 3.

Hospital outcomes of patients with neurogenic bladder (2010–2019)

Characteristics Without mental condition Anxiety Depression Depression comorbid anxiety p
LOS (median, d) 6 5 6 5  < 0.001
TOTCHG (median, $) 38,727.00 34,497.50 38,445.00 36,453.50  < 0.001
Type of insure (%)
 Medicare 71.7 69.7 72.8 71.1  < 0.001
 Medicaid 11.7 13.1 11.5 12.6
 Private insurance 12.8 13.9 12.4 13.1
 Self-pay 1.6 1.4 1.2 1.1
 No charge 0.1 0.1 0.1 0.1
 Other 2.1 1.8 2.0 1.9
Bed size of hospital (%)
 Small 16.3 17.5 17.0 17.8  < 0.001
 Medium 26.8 27.3 26.3 27.9
 Large 56.9 55.2 56.7 54.3
Elective admission (%) 88.6 86.9 87.3 87.6  < 0.001
Type of hospital (teaching %) 59.1 60.7 58.3 62.1  < 0.001
Location of hospital (urban, %) 90.0 89.2 88.9 89.7  < 0.001
Region of hospital (%)
 Northeast 18.7 17.3 18.0 16.5  < 0.001
 Midwest or North Central 22.8 26.1 28.1 30.4
 South 39.4 39.8 36.1 38.0
 West 19.1 16.8 17.8 15.2
Died (%) 3.7 2.4 2.1 1.8  < 0.001

LOS Length of stay, TOTCHE Total charge

Mortality was reduced in psychiatric groups (2.4% for depression, 2.1% for anxiety, and 1.8% for comorbid) compared with patients without mental disorders (3.7%, all p < 0.001). Most patients were covered by Medicare (69.7–72.8%), and more than half were admitted to teaching hospitals (Table 3).

Regression analysis (Supplementary table) revealed that anxiety increased the odds of hydronephrosis (OR 1.420), UTI (OR 1.050), urinary stones (OR 1.511), and acute renal failure (OR 1.246), but decreased the odds of cystitis (OR 0.636). Patients with comorbid depression-anxiety showed similar increased risks for hydronephrosis, UTI, stones, and renal failure, but no significant difference in cystitis. Depression alone was not significantly linked to these complications (Table 4).

Table 4.

Multivariate logistic regression of complications

Complications Anxiety group Depression group Depression comorbid anxiety group
OR 95% CI p OR 95% CI p OR 95% CI p
Hydronephrosis 1.420 1.346–1.499  < 0.001 1.024 0.955–1.099 0.500 1.179 1.109–1.252  < 0.001
Urinary tract infection 1.050 1.023–1.077  < 0.001 0.961 0.930–0.994 0.019 1.171 1.137–1.206  < 0.001
Urinary calculi 1.511 1.410–1.620  < 0.001 0.948 0.864–1.039 0.255 1.561 1.447–1.684  < 0.001
Acute renal failure 1.246 1.210–1.283  < 0.001 0.970 0.934–1.007 0.110 1.079 1.044–1.115  < 0.001
Cystitis 0.636 0.511–0.793  < 0.001 1.071 0.815–1.409 0.622 0.897 0.699–1.150 0.392

Discussion

Neurogenic bladder dysfunction can arise from congenital anomalies such as myelomeningocele or from neurological conditions including multiple sclerosis, Parkinson’s disease, stroke, spina bifida, and cauda equina syndrome [4].

Our findings that mental disorder comorbidities were associated with increased length of stay and complication rates are consistent with prior literature linking mental health and urological outcomes. Population-based studies have identified bidirectional relationship between depression, anxiety, and lower urinary tract symptoms (LUTS) [20],while systematic reviews have demonstrated a significant association between LUTS and affective disorders. [21, 22] Furthermore, in urological oncology, coexisting psychiatric disorders have been shown to negatively influence functional recovery and survival outcomes [23], highlighting the broad interplay between mental health and urological disease outcomes. In neurological populations specifically, neurogenic LUTS are common and have been associated with both fatigue and depressive symptoms in people with multiple sclerosis [24], supporting a bidirectional relation between symptom burden and psychological distress. Together, these data provide plausible mechanisms by which psychiatric comorbidity may exacerbate urinary morbidity and thereby may contribute to worse inpatient outcomes among patients with neurogenic bladder.

Our study demonstrated clear age-related trends: psychiatric disorders were more frequent in patients aged 45–64 and ≥ 75, with prevalence roughly double that of younger adults. This aligns with literature showing that older adults often face greater difficulty adapting to chronic disease due to established routines, cumulative comorbidities, functional decline, and limited social support [25, 26].

Female patients were disproportionately represented across all categories. Prior work has similarly shown higher depression rates in women with neurogenic bladder after spinal cord injury [27]. Socioeconomic disparities, caregiving roles, and coexisting conditions likely contribute [25, 28]. Biological mechanisms, such as hormonal fluctuation and heightened pain perception in bladder disorders, may also play a role [29, 30]. Moreover, gender bias in healthcare—where women report being dismissed or misdiagnosed more often—can worsen psychological distress [29].

Racial disparities were evident: White patients were more frequently diagnosed with mental disorders, consistent with reports that minorities face reduced access to mental healthcare and greater misdiagnosis risk [31–33].

Patients with psychiatric conditions carried a heavier comorbidity burden, corroborating findings that psychological distress correlates with chronic diseases [20–22].

Interesti

ngly, LOS and costs were lower in anxiety and depression-anxiety groups. Prior studies have proposed that insurance incentives and integrated care models may partly explain such findings [34, 35]. Reduced mortality in psychiatric groups also challenges expectations, possibly reflecting heightened medical surveillance and earlier intervention [36].

Mechanistically, anxiety showed consistent associations with urological complications. Anxiety may impair immunity, alter microbiota, or influence hormonal pathways, predisposing to UTIs [37–40]. Stress-related endocrine changes and behavioral risk factors may contribute to stone disease [41–43]. Heightened sympathetic activity and cortisol release can impair renal hemodynamics, increasing acute renal failure [44–49]. Chronic stress may also alter detrusor function and inflammatory responses, leading to hydronephrosis [50]. Conversely, anxiety appeared protective against cystitis, contrasting earlier studies; this discrepancy warrants further investigation [51, 52].

Depression alone showed no significant associations, but its coexistence with anxiety magnified risks, possibly due to synergistic effects on neuroendocrine pathways [13, 53–56].

This study has several limitations inherent to its retrospective design and use of the Nationwide Inpatient Sample (NIS). Diagnoses were identified using ICD-9 and ICD-10 codes, which may introduce misclassification or underreporting. The NIS lacks detailed clinical information and does not include variables specifying the neurological causes of neurogenic bladder, making it impossible to determine whether cases resulted from spinal cord injury, multiple sclerosis, Parkinson’s disease, or other disorders. In addition, the database only captures inpatient hospitalizations without data on outpatient management or long-term outcomes, which may underestimate the overall disease burden. Unmeasured factors such as disease severity, socioeconomic status, and treatment adherence may also contribute to residual confounding. Despite these limitations, the large, nationally representative nature of the NIS provides meaningful insights into the relationship between mental disorders and hospitalization outcomes in patients with neurogenic bladder.

Conclusion

Among hospitalized neurogenic bladder patients, depression, anxiety, and combined disorders were observed in 13.5%, 6.4%, and 5.1%, respectively, with higher rates among older adults and women. Anxiety was associated with increased risks of hydronephrosis, UTIs, stones, and acute renal failure, while paradoxically correlating with shorter hospitalizations and reduced mortality. Depression alone showed no clear association with complications, but depression-anxiety comorbidity amplified risks. These findings emphasize the complex role of mental health in neurogenic bladder outcomes and support the integration of psychiatric screening and multidisciplinary management to optimize care.

Supplementary Information

Below is the link to the electronic supplementary material.

Author contributions

Zheng and Xie were responsible for conceptualization and supervision. Data collection and analysis were performed by all authors. The first draft of the manuscript was written by Ni and Zhou. Liao, Zheng and Xie revised the manuscript. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Funding

This research received no external funding.

Data availability

No datasets were generated or analysed during the current study.

Declarations

Conflict of interest

The authors declare no competing interests.

Human ethics and consent to participate declarations

Not applicable.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Qianying Liao, Min Zheng, Ming Ni, Junyang Zhou and Hao Xie have contributed equally to this work and share first authorship.

References

  • 1.Ginsberg D (2013) The epidemiology and pathophysiology of neurogenic bladder. Am J Manag Care 19:s191-196 [PubMed] [Google Scholar]
  • 2.Powell CR (2016) Not all neurogenic bladders are the same: a proposal for a new neurogenic bladder classification system. Transl Androl Urol 5:12–21. 10.3978/j.issn.2223-4683.2016.01.02 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Kumar SJ, Biswas DA (2022) Anatomical aspects of neurogenic bladder and the approach in its management: a narrative review. Cureus 14:e31165. 10.7759/cureus.31165 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Dorsher PT, McIntosh PM (2012) Neurogenic bladder. Adv Urol 2012:816274. 10.1155/2012/816274 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Gleicher S, Sebesta EM, Dmochowski RR (2024) The psychosocial impact of urinary dysfunction. Urol Res Pract 50:167–172. 10.5152/tud.2024.23217 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Mj M, S P, R Ss, B Km (2015) Urinary tract infection and neurogenic bladder. Urol Clin North Am. 10.1016/j.ucl.2015.05.006 [DOI] [PubMed] [Google Scholar]
  • 7.Sood A, Phelps J, Palma-Zamora I et al (2017) Emergency department utilization in patients with neurogenic bladder: contemporary burden and national trends in prevalence, inpatient admission, and associated charges, 2006–2011. Urology 109:74–81. 10.1016/j.urology.2017.07.024 [DOI] [PubMed] [Google Scholar]
  • 8.Manack A, Motsko SP, Haag-Molkenteller C et al (2011) Epidemiology and healthcare utilization of neurogenic bladder patients in a US claims database. Neurourol Urodyn. 10.1002/nau.21003 [DOI] [PubMed] [Google Scholar]
  • 9.Bing J, You H, Dai Y, Ding Y (2024) Progress and research trends in neurogenic bladder after spinal cord injury bibliometric analysis based on web of science database: an observational study. Med (Baltimore) 103:e38491. 10.1097/MD.0000000000038491 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.O’Leary M, Dierich M (2010) Botulinum toxin type A for the treatment of urinary tract dysfunction in neurological disorders. Urol Nurs 30:228–234 [PubMed] [Google Scholar]
  • 11.Nseyo U, Santiago-Lastra Y (2017) Long-Term complications of the neurogenic bladder神经源性膀胱的长期并发症. Urol Clin North Am 44:355–366. 10.1016/j.ucl.2017.04.003 [DOI] [PubMed] [Google Scholar]
  • 12.Anderson D, Kumar D, Divya D et al (2022) Mental health in non-oncologic urology patients. Health Psychol Res 10:38352. 10.52965/001c.38352 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Coyne KS, Wein AJ, Tubaro A, Sexton CC, Thompson CL, Kopp ZS, Aiyer LP (2009) The burden of lower urinary tract symptoms: evaluating the effect of LUTS on health-related quality of life, anxiety and depression: EpiLUTS. BJU Int 103:4–11. 10.1111/j.1464-410X.2009.08371.x [DOI] [PubMed] [Google Scholar]
  • 14.Washington SL, Nyame YA, Moses KA (2020) What is the impact of racial disparities on diagnosis and receipt of appropriate mental health care among urology patients? Eur Urol Focus 6:1155–1157. 10.1016/j.euf.2019.08.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Klaassen Z, Wallis CJD (2020) Addressing mental health in urology patients: the time is now. Eur Urol Focus 6:1137–1139. 10.1016/j.euf.2020.08.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Jaekel AK, Watzek J, Nielsen J et al (2025) The impact of urodynamic findings on fatigue and depression in people with multiple sclerosis. Biomedicines 13:601. 10.3390/biomedicines13030601 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Mahjoob DM, Janssen JMW, van Koeveringe GA, Leue C, van Osch FHM, Vrijens DMJ (2023) Psychiatric disorders in patients with lower urinary tract symptoms: a systematic review including a subgroup meta-analysis on the association between LUTS and depressive symptoms. Continence 6:100589. 10.1016/j.cont.2023.100589 [Google Scholar]
  • 18.Kabra AT, Feustel PJ, Kogan BA (2015) Screening for depression and anxiety in childhood neurogenic bladder dysfunction. J Pediatr Urol 11:75.e1–7. 10.1016/j.jpurol.2014.11.017 [DOI] [PubMed] [Google Scholar]
  • 19.Singam V, Rastogi S, Patel KR et al (2019) The mental health burden in acne vulgaris and rosacea: an analysis of the US National Inpatient Sample. Clin Exp Dermatol 44:766–772. 10.1111/ced.13919 [DOI] [PubMed] [Google Scholar]
  • 20.Martin S, Vincent A, Taylor AW, Atlantis E, Jenkins A, Januszewski A, O’Loughlin P, Wittert G (2015) Lower urinary tract symptoms, depression, anxiety and systemic inflammatory factors in men: a population-based cohort study. PLoS ONE 10(10):e0137903. 10.1371/journal.pone.0137903 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Mahjani B, Koskela LR, Batuure A et al (2021) Systematic review and meta-analysis identify significant relationships between clinical anxiety and lower urinary tract symptoms. Brain Behav 11:e2268. 10.1002/brb3.2268 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Vrijens D, Drossaerts J, van Koeveringe G, Van Kerrebroeck P, van Os J, Leue C (2015) Affective symptoms and the overactive bladder—a systematic review. J Psychosom Res 78(2):95–108. 10.1016/j.jpsychores.2014.11.019 [DOI] [PubMed] [Google Scholar]
  • 23.Dinesh AA, Pinto SHPS, Brunckhorst O et al (2021) Anxiety, depression and urological cancer outcomes: A systematic review焦虑、抑郁与泌尿系统癌症预后: 系统评价. Urol Oncol Semin Orig Investig 39:816–828. 10.1016/j.urolonc.2021.08.003 [DOI] [PubMed] [Google Scholar]
  • 24.Jaekel AK, Watzek J, Nielsen J et al (2023) Neurogenic lower urinary tract symptoms, fatigue, and depression—are there correlations in persons with multiple sclerosis? Biomedicines 11:2193. 10.3390/biomedicines11082193 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Krause JS, Kemp B, Coker J (2000) Depression after spinal cord injury: relation to gender, ethnicity, aging, and socioeconomic indicators. Arch Phys Med Rehabil 81:1099–1109. 10.1053/apmr.2000.7167 [DOI] [PubMed] [Google Scholar]
  • 26.Zhang AY, Xu X (2018) Prevalence, burden, and treatment of lower urinary tract symptoms in men aged 50 and older: a systematic review of the literature. SAGE Open Nurs 4:2377960818811773. 10.1177/2377960818811773 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Oh S-J, Shin H-I, Paik N-J et al (2006) Depressive symptoms of patients using clean intermittent catheterization for neurogenic bladder secondary to spinal cord injury. Spinal Cord 44:757–762. 10.1038/sj.sc.3101903 [DOI] [PubMed] [Google Scholar]
  • 28.Ai AL, Carretta H (2021) Depression in patients with heart diseases: gender differences and association of comorbidities, optimism, and spiritual struggle. Int J Behav Med 28:382–392. 10.1007/s12529-020-09915-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Windgassen SS, Sutherland S, Finn MTM, Bonnet KR, Schlundt DG, Reynolds WS, Dmochowski RR, McKernan LC (2022) Gender differences in the experience of interstitial cystitis/bladder pain syndrome. Front Pain Res 3:954967. 10.3389/fpain.2022.954967 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Deischinger C, Dervic E, Leutner M, Kosi-Trebotic L, Klimek P, Kautzky A, Kautzky-Willer A (2020) Diabetes mellitus is associated with a higher risk for major depressive disorder in women than in men. BMJ Open Diabetes Res Care 8(1):e001430. 10.1136/bmjdrc-2020-001430 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Mansuri Z, Patel K, Trivedi C et al (2022) Burden of psychiatric disorders in Moyamoya disease: a national inpatient perspective from 2007-2014. Prim Care Companion CNS Disord 24:21m03157. 10.4088/PCC.21m03157 [DOI] [PubMed] [Google Scholar]
  • 32.Sankoh M, Clifford J, Peterson RE, Prom-Wormley E (2024) Racial and ethnic differences in comorbid psychosis: a population-based study. Front Psychiatry 15:1280253. 10.3389/fpsyt.2024.1280253 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Burnett-Zeigler I, Bohnert KM, Ilgen MA (2013) Ethnic identity, acculturation and the prevalence of lifetime psychiatric disorders among black, hispanic, and Asian adults in the U.S. J Psychiatr Res 47:56–63. 10.1016/j.jpsychires.2012.08.029 [DOI] [PubMed] [Google Scholar]
  • 34.Bradley CJ, Zarkin GA (1996) Inpatient stays for patients diagnosed with severe psychiatric disorders and substance abuse. Health Serv Res 31:387–408 [PMC free article] [PubMed] [Google Scholar]
  • 35.Banta JE, Belk I, Newton K, Sherzai A (2010) Inpatient charges and mental illness: findings from the Nationwide Inpatient Sample 1999–2007. Clin Outcomes Res CEOR 2:149–158. 10.2147/CEOR.S7560 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Wu R, Gao P, Liu S, Yang Q, Wang J, Liang F, Chen Y, Yang L (2024) Anxiety and depression as risk factors for postoperative complications and pain in lumbar spine surgery: a national database study. J Orthop Surg 32(3):10225536241280190. 10.1177/10225536241280190 [DOI] [PubMed] [Google Scholar]
  • 37.Zhang X, Ma L, Li J et al (2024) Mental health and lower urinary tract symptoms: results from the NHANES and Mendelian randomization study心理健康和下尿路症状: NHANES 和 Mendelian 随机研究的结果. J Psychosom Res 178:111599. 10.1016/j.jpsychores.2024.111599 [DOI] [PubMed] [Google Scholar]
  • 38.Simpson CA, Diaz-Arteche C, Eliby D et al (2021) The gut microbiota in anxiety and depression—a systematic review. Clin Psychol Rev 83:101943. 10.1016/j.cpr.2020.101943 [DOI] [PubMed] [Google Scholar]
  • 39.Tauscher J, Bagby RM, Javanmard M, Christensen BK, Kasper S, Kapur S (2001) Inverse relationship between serotonin 5-HT1A receptor binding and anxiety: a [11C]WAY-100635 PET investigation in healthy volunteers. Am J Psychiatry 158(8):1326–1328. 10.1176/appi.ajp.158.8.1326 [DOI] [PubMed] [Google Scholar]
  • 40.Heck AL, Handa RJ (2019) Sex differences in the hypothalamic–pituitary–adrenal axis’ response to stress: an important role for gonadal hormones. Neuropsychopharmacology 44:45–58. 10.1038/s41386-018-0167-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Néill EN, Richards HL, Hennessey D et al (2023) Psychological distress in patients with urolithiasis: a systematic review and meta-analysis. J Urol. 10.1097/JU.0000000000003032 [DOI] [PubMed] [Google Scholar]
  • 42.Gao M, Liu M, Zhang Y, Tang L, Chen H, Zhu Z (2024) The impact of anxiety on the risk of kidney stone disease: insights into eGFR-mediated effects. J Affect Disord 364:125–131. 10.1016/j.jad.2024.08.061 [DOI] [PubMed] [Google Scholar]
  • 43.Elshafei A, Chalfant V, Al-Toubat M et al (2023) Urinary stone disease burden is increased in patients with cognitive impairment. Am J Clin Exp Urol 11:249–257 [PMC free article] [PubMed] [Google Scholar]
  • 44.Su G, Song H, Lanka V, Liu X, Fang F, Valdimarsdóttir UA, Carrero JJ (2021) Stress related disorders and the risk of kidney disease. Kidney Int Rep 6(3):706–715. 10.1016/j.ekir.2020.12.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Steptoe A, Kivimäki M (2012) Stress and cardiovascular disease. Nat Rev Cardiol 9:360–370. 10.1038/nrcardio.2012.45 [DOI] [PubMed] [Google Scholar]
  • 46.Kvetnansky R, Lu X, Ziegler MG (2013) Stress-triggered changes in peripheral catecholaminergic systems. Adv Pharmacol 68:359–397 [DOI] [PubMed] [Google Scholar]
  • 47.Seliger SL, Katzel LI, Fink JC et al (2008) Renal function and cardiovascular response to mental stress. Am J Nephrol 28:304–310. 10.1159/000111386 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.James KA, Stromin JI, Steenkamp N, Combrinck MI (2023) Understanding the relationships between physiological and psychosocial stress, cortisol and cognition. Front Endocrinol. 10.3389/fendo.2023.1085950 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Rosengren A, Hawken S, Ôunpuu S et al (2004) Association of psychosocial risk factors with risk of acute myocardial infarction in 11 119 cases and 13 648 controls from 52 countries (the INTERHEART study): case-control study. Lancet 364:953–962. 10.1016/S0140-6736(04)17019-0 [DOI] [PubMed] [Google Scholar]
  • 50.Chess-Williams R, McDermott C, Sellers DJ et al (2021) Chronic psychological stress and lower urinary tract symptoms. LUTS: Low Urin Tract Symptoms. 10.1111/luts.12395 [DOI] [PubMed] [Google Scholar]
  • 51.Lutgendorf SK, Kreder KJ, Rothrock NE, Ratliff TIMOTHYL, Zimmerman BRIDGET (2000) Stress and symptomatology in patients with interstitial cystitis: a laboratory stress model. J Urol 164(4):1265–1269. 10.1016/S0022-5347(05)67152-2 [PubMed] [Google Scholar]
  • 52.Spanos C, Pang X, Ligris K, Letourneau R, Alferes L, Alexacos N, Sant GR, Theoharides TC (1997) Stress-induced bladder mast cell activation: implications for interstitial cystitis. J Urol 157(2):669–672. 10.1016/S0022-5347(01)65247-9 [PubMed] [Google Scholar]
  • 53.Sakakibara R, Ito T, Yamamoto T et al (2013) Depression, anxiety and the bladder. LUTS Low Urin Tract Symptoms 5:109–120. 10.1111/luts.12018 [DOI] [PubMed] [Google Scholar]
  • 54.Mehr AA, Kreder KJ, Lutgendorf SK et al (2022) Daily symptom associations for urinary urgency and anxiety, depression and stress in women with overactive bladder. Int Urogynecol J 33:841–850. 10.1007/s00192-021-05033-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Henry Lai H, Rawal A, Shen B, Vetter J (2016) The relationship between anxiety and overactive bladder/urinary incontinence symptoms in the clinical population. Urology 98:50–57. 10.1016/j.urology.2016.07.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Jeżuchowska A, Cybulska AM, Rachubińska K et al (2024) The impact of mood disorders on adherence, on life satisfaction and acceptance of illness—cross-sectional observational study. Healthcare 12:2484. 10.3390/healthcare12232484 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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Supplementary Materials

Data Availability Statement

No datasets were generated or analysed during the current study.


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