Abstract
Background
To investigate depression and anxiety and related factors among patients receiving maintenance hemodialysis (MHD).
Methods
This cross-sectional study included patients underwent MHD in 3/2022 at Jinshan Hospital affiliated to Fudan University. Depression and anxiety levels of patients were assessed using Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI), respectively. SF-36 was used to assess patients’ quality of life. Multiple linear regression analysis was used to determine the variables associated with the scores of BDI/BAI.
Results
A total of 103 patients were included, 71 cases (68.93%) and 38 cases (36.89%) with depression and anxiety, respectively. The scores of almost all domains of the SF-36 showed a declining trend with increasing depression or anxiety among patients on MHD. Higher Charlson Comorbidity Index (CCI) (β =0.066, 95%CI: 0.016-0.116, P = 0.010), lower educational status (β = − 0.139, 95%CI: − 0.243- -0.036, P = 0.009), and number of oral medications (β =0.177, 95%CI: 0.031-0.324, P = 0.018) were significantly associated with higher BDI scores. Longer dialysis duration (β =0.098, 95%CI: 0.003-0.193, P = 0.044) and number of oral medications (β =4.714, 95%CI: 1.837-7.590, P = 0.002) were significantly associated with higher BAI scores.
Conclusions
Depression and anxiety may be likely to occur among patients undergoing MHD and impact their quality of life. Higher CCI, lower educational status and usage of multiple oral medications may be associated with depression, whereas longer dialysis duration and multiple oral medications may be associated with anxiety in MHD patients.
Keywords: Cross-sectional study, Depression, Anxiety, Maintenance hemodialysis, Quality of life
Background
Depression and anxiety are the most common psychiatric conditions observed in patients receiving MHD [1, 2], with higher prevalence and incidence rates in this population than the general population [3–5]. Patients with end-stage renal disease (ESRD) face a continuous struggle with its associated symptoms and comorbidities, along with the need to cope with many stressors, including impaired biochemical and physiologic renal functions, digestive and neurologic complications, bone disease, anemia, cardiac insufficiency, decreased cognitive ability, deranged sexual function, dietary restriction as well as being functionally challenged both domestically and professionally. In addition to the underlying symptoms of the illness itself, psychological responses secondary to the chronic illness might further contribute to depression and anxiety [6–8] and in some cases lead to increased all-cause mortality [9, 10], hospitalization duration, hospitalization rates [11, 12] and inevitable socio-economic burdens [9, 13, 14]. Moreover, depression and/or anxiety were associated with poor adherence to treatment and low dialysis adequacy [15] in patients with ESRD [16].
Despite the higher prevalence of depression and anxiety among ESRD patients, these psychological conditions are usually overlooked by clinicians [17, 18]. This may be possibly due to the fact that the somatic symptoms of depression and anxiety overlap with the inherent manifestation of ESRD [19]. In general, training for nephrologists in China and, arguably, the rest of the world, lacks psychiatric and psychological aspects of patient care; as a result, their recognition of psychiatric and psychological problems is relatively low. Additionally, although selective serotonin- reuptake inhibitors (SSRIs) are the first-line medication used to treat depression and/or anxiety, its efficacy and safety among patients with chronic kidney disease (CKD) and ESRD remain uncertain [20]. Therefore, the prevention, diagnosis, and treatment of depression and anxiety in ESRD patients are still in the exploratory stage. Nevertheless, the lack of time to effectively assess and address patients’ emotional states cannot be ruled out [18].
Consequently, this necessitates the need for better understanding of the prevalence of these debilitating disorders and associated factors among patients undergoing maintenance hemodialysis. There have been several studies investigating depression and anxiety among MHD patients [21–23]. From the perspective of psychosomatic medicine, the pathogenesis of depression and anxiety is associated with physiological, psychological and social factors. Thus, this study was designed to investigate the prevalence of depression and anxiety and related factors among MHD patients and to explore the impact of depression and anxiety on their quality of life. Moreover, to screen the associated factors so as to explore new approaches for non-psychiatric clinician to cope with depression and anxiety independent of psychotropic drugs. This concept has not yet been realized and practiced by most nephrologists probably and there is also not relevant literature reported.
Methods
Study design and population
This cross-sectional study involved patients who were treated at The Blood Purification Center, Jinshan Hospital affiliated to Fudan University in March, 2022. Patients aged ≥18 years who did not use any prior antidepressant or anxiolytic medication and underwent hemodialysis for at least 3 months were included in this study. Patients with serious acute complications, such as acute cardiovascular and cerebrovascular events or serious infections were excluded. This study was conducted in compliance with local regulations and revised established principles of the Declaration of Helsinki (2013). The Medical Ethics Committee of Jinshan Hospital affiliated to Fudan University (Approval No: JIEC2022-S03) approved the study and written informed consent to investigation was obtained from all participants.
Data collection and definitions
Medical records were accessed to obtain — (i) basic personal and sociodemographic information: age, gender, marital status, religious beliefs, household location, living status, parenting status (raising children), education status, and employment status; (ii) life habits: tobacco and alcohol consumption, support from social and recreational activities, and potential religious practices; travel time to dialysis facilities, (iii) clinical data: history of primary diseases, blood pressure level, duration of hemodialysis, status of kidney transplantation waiting list, number of oral medications used, vascular access failure during the previous 12 months, Charlson Comorbidity Index (CCI), (iv) laboratory examination: hemoglobin, calcium, phosphorus, parathyroid hormone, albumin, prealbumin, triglyceride, cholesterol, Kt/v, and URR (urea reduction ratio).
Comorbidities were measured using CCI. CCI is a clinical outcome-oriented scoring system comprising 16 comorbidity items with assigned weights ranging from 1 to 6, wherein higher summed scores correspond to clinical conditions of greater severity [24].
Evaluation of quality of life
The self-administered 36-item Short Form Health Survey (SF-36) was utilized to assess the QoL in patients receiving MHD. This instrument comprises eight domains (physical functioning, role-physical, bodily pain, general health, vitality, social functioning, role- emotional and mental health). Scores of each domain can range from 0 to 100 with scores closer to 100 indicating a better QoL [25].
Evaluation of depression and anxiety
Symptoms of depression and anxiety were assessed using Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI) as self-administered questionnaires [26–28]. BDI and BAI consist of a 21-item self-report inventory each, designed to screen for the presence and severity of symptoms of depression and anxiety, respectively, which occurred during the previous 2 weeks. Items were scored from 0 to 3, with a total summed score ranging from 0 to 63 points. The scores indicating depression and anxiety were those greater than the cutoff of 11 and 10 points, respectively. Higher scores indicated more severe symptoms. Patients were stratified into different groups based on the following criteria: BDI < 11: no depression; 11 ≤ BDI < 20: mild depression; BDI ≥ 20: moderate/severe depression; BAI < 10: no anxiety; 10 ≤ BAI < 20: mild anxiety; BAI ≥ 20: moderate/severe anxiety [27–29]. Psychological measurement in this study adopted the method of self-report, which was completed by patients themselves independently and supervised by clinician in a quiet independent office, with a limited time of 30-40 minutes.
Statistical analysis
All analyses were performed by the Statistical Package for Social Sciences (SPSS) version 23.0 (IBM Corp., Armonk, NY, USA) [30]. Continuous data were expressed as mean ± standard deviation (SD) and categorical data were expressed as frequency (n %). One-way ANOVA was used to compare the scores of SF-36 among patients in different groups. Multiple linear regression analysis was used to determine the variables associated with the scores of BDI/BAI. Two-sided P value < 0.05 was considered statistically significant.
Results
A total of 103 patients who received MHD were included in this study. Of which, 67 (65.05%) patients were male, with mean age of 51.07 ± 11.65 years. Most of them were married (n = 67, 65.05%) and had children (n = 88, 85.44%), with 17 (16.50%) living alone. The prevalence of smoking and alcohol consumption were 25.24 and 1.94%, respectively.
The primary diseases consisted of chronic glomerulonephritis (n = 69, 66.99%), diabetic nephropathy (n = 13, 12.62%), renal vascular disease (n = 8, 7.76%), and others (n = 13, 12.62%). Patients underwent hemodialysis with a mean duration of 75.55 ± 63.77 months. The mean scores of CCI were 3.13 ± 1.82 with 15.53% of patients awaiting transplantation. Notably, the travel time to dialysis facilities for about 53.40% of patients was < 30 min, while it was more than an hour for about 27.18% of patients (Table 1).
Table 1.
Variables | Value |
---|---|
Age (years) | 51.07 ± 11.65 |
Gender | |
Male | 67 (65.05%) |
Female | 36 (34.95%) |
Household location | |
Local | 90 (87.38%) |
Non-local | 13 (12.62%) |
Marital status | |
Married | 67 (65.05%) |
Single | 36 (34.95%) |
Raising children | |
Yes | 88 (85.44%) |
No | 15 (14.56%) |
Living alone | |
Yes | 17 (16.50%) |
No | 86 (83.50%) |
Level of Education | |
Primary school or below | 6 (5.83%) |
Junior middle school | 36 (34.95%) |
Senior middle school | 41 (39.81%) |
University or above | 20 (19.42%) |
Employment status | |
Yes | 24 (23.30%) |
No | 79 (76.70%) |
Religious beliefs | |
Yes | 10 (7.71%) |
No | 93 (90.29%) |
Primary diseases | |
Glomerulonephritis | 69 (66.99%) |
Diabetic nephropathy | 13 (12.62%) |
Renal vascular disease | 8 (7.76%) |
Others (e.g., LN, polycystic kidney) | 13 (12.62%) |
Duration of hemodialysis (months) | 75.55 ± 63.77 |
Blood pressure level | |
Systolic pressure (mmHg) | 146.33 ± 24.89 |
Diastolic pressure (mmHg) | 80.98 ± 15.23 |
Number of oral medications | |
< 5 | 35 (33.98%) |
5–10 | 56 (54.37%) |
≥ 10 | 12 (11.65%) |
Waiting list status for kidney transplantation | |
Active | 16 (15.53%) |
Not active | 87 (84.47%) |
CCI (mean ± SD) | 3.13 ± 1.82 |
Vascular access failure during the previous 12 months | |
Yes | 9 (8.74%) |
No | 94 (91.26%) |
Smoking habit | |
Yes | 26 (25.24%) |
No | 77 (74.76%) |
Consumption of alcohol | |
Yes | 2 (1.94%) |
No | 101 (98.06%) |
Participation in social activities | |
Yes | 5 (4.85%) |
No | 98 (95.15%) |
Participation in recreational activities | |
Yes | 38 (36.89%) |
No | 65 (63.11%) |
Travel time to dialysis facilities. | |
< 30 min | 55 (53.40%) |
30-60 min | 20 (19.42%) |
≥ 60 min | 28 (27.18%) |
Laboratory results | |
Hemoglobin level (g/L) | 108.03 ± 17.18 |
Serum Calcium level (mmol/L) | 2.32 ± 0.30 |
Serum Phosphorus level (mmol/L) | 2.15 ± 0.67 |
Parathyroid hormone level (pg/mL) | 362.57 ± 293.09 |
Albumin (g/L) | 37.92 ± 3.45 |
Prealbumin (g/L) | 307.56 ± 78.82 |
Triglyceride (mmol/L) | 1.90 ± 1.50 |
Cholesterol (mmol/L) | 3.66 ± 1.18 |
Dialysis adequacy Kt/V | 1.28 ± 0.25 |
URR | 65.22 ± 7.07 |
Abbreviations: CCI Charlson comorbidity index, MHD maintenance hemodialysis, SD standard deviation, URR urea reduction ratio. Data are presented as Mean ± SD or n (%)
Of all the patients included in this study, there were 71 (68.93%) and 38 (36.89%) cases with depression and anxiety respectively, including 41 (39.81%) patients with mild depression and 30 (29.13%) with moderate/severe depression. There were 38 cases (36.89%) with anxiety out of which 23.30% (n = 24) had mild anxiety and 13.59% (n = 14) had moderate/severe anxiety. Notably, depression and anxiety coexisted in 32 (31.07%) patients (Table 2). Besides, a significant positive correlation was observed between BDI and BAI scores in patients with comorbid depression and anxiety (r = 0.444, P < 0.001).
Table 2.
Category | BDI/BAI scores | Frequency (%) |
---|---|---|
Depression symptoms | ||
No | 5.548 ± 3.295 | 32 (31.07) |
Mild | 14.629 ± 2.756 | 41 (39.81) |
Moderate/ Severe | 30.516 ± 7.737 | 30 (29.13) |
Mean ± SD | 16.804 ± 11.319 | |
Anxiety symptoms | ||
No | 3.803 ± 2.874 | 65 (63.11) |
Mild | 13.91 ± 3.476 | 24 (23.30) |
Moderate/ Severe | 27.38 ± 9.197 | 14 (13.59) |
Mean ± SD | 9.361 ± 9.932 |
Abbreviations: MHD maintenance hemodialysis, BDI Beck Depression Inventory, BAI Beck Anxiety Inventory. Data are presented as Mean ± SD or n (%)
Significant differences in role-physical, bodily pain, social functioning, mental health, role-emotional, general health status, and vitality (all P < 0.001) were found among the three graded depression groups (Table 3). Significant differences in physical functioning, role-physical, bodily pain, social functioning, mental health, role-emotional and general health status (all P < 0.05) were found among the three graded anxiety groups (Table 4).
Table 3.
Domains | Non depression (n = 32) | Mild depression (n = 41) | Moderate/severe depression (n = 30) | P value |
---|---|---|---|---|
Physical functioning | 72.17 ± 18.88 | 67.97 ± 21.81 | 60.33 ± 21.97 | 0.091 |
Role-physical | 56.67 ± 39.90 | 47.30 ± 39.43 | 15.00 ± 25.09 | < 0.001* |
Bodily pain | 82.53 ± 18.65 | 72.19 ± 19.82 | 62.72 ± 24.72 | < 0.001* |
General health status | 50.67 ± 18.57 | 39.81 ± 16.60 | 31.33 ± 14.80 | < 0.001* |
Vitality | 72.00 ± 13.10 | 59.32 ± 15.10 | 48.83 ± 16.01 | < 0.001* |
Social functioning | 76.15 ± 16.83 | 66.76 ± 16.64 | 56.22 ± 20.42 | < 0.001* |
Role-emotional | 75.56 ± 40.05 | 52.27 ± 44.14 | 21.10 ± 34.44 | < 0.001* |
Mental health | 77.33 ± 13.43 | 70.92 ± 14.00 | 56.13 ± 16.76 | < 0.001* |
*P value < 0.05
Table 4.
Domains | No anxiety (n = 65) | Mild anxiety (n = 24) | Moderate/severe anxiety (n = 14) | P value |
---|---|---|---|---|
Physical functioning | 73.52 ± 17.16 | 61.90 ± 21.59 | 45.71 ± 23.44 | < 0.001* |
Role-physical | 52.05 ± 40.39 | 19.05 ± 27.28 | 16.07 ± 23.22 | < 0.001* |
Bodily pain | 79.26 ± 20.32 | 65.55 ± 16.93 | 52.86 ± 24.34 | < 0.001* |
General health status | 44.75 ± 18.94 | 35.38 ± 15.15 | 29.29 ± 13.28 | 0.012* |
Vitality | 63.03 ± 16.72 | 55.48 ± 16.12 | 52.50 ± 19.10 | 0.080 |
Social functioning | 71.41 ± 17.05 | 58.21 ± 19.84 | 54.64 ± 19.37 | 0.001* |
Role-emotional | 62.31 ± 44.09 | 33.30 ± 39.44 | 19.07 ± 38.63 | 0.002* |
Mental health | 72.46 ± 15.34 | 65.52 ± 19.08 | 54.29 ± 13.01 | 0.002* |
Abbreviations: MHD maintenance hemodialysis, QoL quality of life. Data are presented as Mean ± SD
* P value < 0.05
Multivariable linear regression analysis showed that CCI (β =0.066, 95%CI: 0.016 - 0.116; P = 0.010), lower educational status (β = − 0.139, 95%CI: − 0.243 - -0.036; P = 0.009) and number of oral medications (β =0.177, 95%CI: 0.031 - 0.324; P = 0.018) were significantly associated with higher BDI scores (Table 5). On the other side, longer dialysis duration (β = 0.098, 95%CI: 0.003 - 0.193, P = 0.044) and the number of oral medications (β =4.714, 95%CI: 1.837 - 7.590; P = 0.002) were significantly associated with higher BAI scores (Table 6).
Table 5.
Variables | β, 95% CI | P value |
---|---|---|
CCI | 0.066, 0.016 - 0.116 | 0.010* |
Lower education status | −0.139, − 0.243 - -0.036 | 0.009* |
Number of oral medications | 0.177, 0.031 - 0.324 | 0.018* |
Abbreviations: BDI Beck Depression Inventory, MHD maintenance hemodialysis, CCI Charlson comorbidity index, CI confidence interval
* P value < 0.05
Table 6.
Variables | β, 95% CI | P value |
---|---|---|
Dialysis duration | 0.098, 0.003 - 0.193 | 0.044* |
Number of oral medications | 4.714, 1.837 - 7.590 | 0.002* |
Abbreviations: BAI Beck Anxiety Inventory, MHD maintenance hemodialysis, CI confidence interval
* P value < 0.05
Discussion
The study demonstrated that depression and anxiety may be likely to occur among patients undergoing MHD and impact their quality of life. Higher CCI scores, lower educational status, and multiple oral medications may be associated depression, while longer dialysis duration and multiple oral medications may be associated with anxiety.
The present study found that the overall prevalence of depression, regardless of its severity, was 68.93% among patients on MHD, which is consistent with the reports of some previous studies [31–33]. Of these patients with depression, 39.81% had mild depression symptom and 29.13% fell in the moderate to severe category. However, other studies have reported different prevalence. For instance, Othayq and Aqeeli reported that 43.6% of patients on hemodialysis experienced depression [21]. Turkistani et al. employed the Hospital Anxiety and Depression Scale (HADS) and found that approximately 23.3% Makkah patients on hemodialysis had depression [14]. Still other studies showed a higher prevalence rate of depression among hemodialysis patients. Saeed and his colleagues employed the BDI-II scoring system and observed that approximately 75% patients with ESRD on hemodialysis experienced depression [34]. Similarly, the prevalence of depression among patients in Saudi Arabia was 83% and in other parts of India was 83.5% [35, 36]. Globally, the incidence rate of depression among patients on hemodialysis ranged between 20 and 60.5% [32, 37]. As shown, there is a wide variation in the prevalence of depression across numerous studies. Different assessment tools, diagnostic criteria, customs and habits, religious beliefs, economic and cultural levels, and social security, may play roles in the different prevalence rates reported.
Among the sociodemographic and clinical factors of this patient population, higher scores of CCI, lower educational status, and number of oral medications were found to be associated with depression. The results demonstrated that patients on MHD who experienced depression presented more comorbidities, as reflected by higher scores of CCI. Our findings are further strengthened by a previous study by Brito et al., which showed that higher scores of CCI were associated with more frequent episodes of depression among MHD patients [22]. Taken together, these results suggest that the clinical presentation of depression may be highly heterogeneous and likely to be influenced by the co-presence of chronic somatic diseases.
With regard to the educational level of the patient, our findings are consistent with many previous studies of patients with ESRD [38, 39]. A study by Theofilou showed that patients with less than 9 years of education more readily experience depression than the group who had more than 9 years of education (P = 0.01 for severe depression) [39]. This could be possibly attributed to the discrepancy in socioeconomic status. Lower educational status not only decided the socioeconomic status and social supports obtained, but also the cognitive pattern of the disease. Moreover, the persisting physical, psychological, and economical burdens in patients undergoing MHD may lead to a chronically stressed state, and thus exacerbate depression among this patient population. In line with a previous study [21], age and gender were not correlated with depression contradicting several previous studies [40–42].
The prevalence of anxiety reported in this study was 36.89%, which is well within the reported range (1–52%) [7, 8, 43]. Further strengthening this result, a systematic review reported that the estimated prevalence of anxiety among patients on hemodialysis was 38% [44]. Of interest, our study demonstrated that longer dialysis duration was associated with greater anxiety scores in MHD patients, consistent with the findings of a previous study [45]. Further, a preliminary cross-sectional study demonstrated that MHD patients were tended to be more anxious during routine hemodialysis treatment and even minor events, such as being connected to a hemodialyzer by a non-regular nurse or on hearing the alarm of their hemodialyzer may influence their anxiety levels [1]. Behaviorism holds that anxiety is a conditioned-reflex formed by the fear of certain environmental stimuli, which is learning-dependent [29]. That is to say, anxiety can be acquired through learning. The core symptom of anxiety manifest excessive worry about some unpredictable dangerous or unfortunate events that may occur in the future. Although blood purification technology has been maturing and improved significantly, longer hemodialysis duration means more obvious chronic complications. Events such as unexpected fatal cardiovascular and cerebrovascular complications, visible body change caused by metabolic bone disease, unpredictability of the life-span of vascular access, and successive death and withdrawal of dialysis partners together psychologically influence MHD patients and lead to apprehensive expectation.
Our study found that number of oral medications were significantly associated with both depression and anxiety. To substitute some of the lost function of kidney and to address acute and chronic complications, MHD patients have to take a variety of medications orally every day, including phosphorus-binding agents; active vitamin D3; antihypertensive drugs with different mechanisms; sodium bicarbonate tablets to correct chronic metabolic acidosis; and oral medications to treat coronary heart disease, arrhythmia, and diabetes. Undoubtedly, a large number of oral medications every day and the corresponding side effects (such as gastrointestinal discomfort) can be the unavoidable daily burden faced by MHD patients, and these can become chronic stressors, leading to negative emotional responses. Therefore, as a nephrologist, it may be a good thing for MHD patients to reduce unnecessary oral medications. But this hypothesis needs further clinical study to confirm.
An interesting finding of this study was that depression and anxiety were found to be associated with almost all domains of SF-36 in MHD patients. QoL is a patients’ subjective experience of physical, psychological, and social adaptation, which reflects the state of patients’ health, prognosis, and guides clinical practices [46]. For MHD patients, inherent symptoms and treatment to the disease often have a profound impact on their QoL [47, 48]. Many studies suggested that depression and anxiety potentially affect both physical and psychological aspects of QoL [49, 50]. The present study demonstrated that, with increasing BDI and BAI scores, the levels of almost all domains of the SF-36 sharply declined, strongly suggesting that both depression and anxiety might negatively affect the physical and psychological aspects of QoL. Our findings are corroborated by a recent study that examined the rate of depression, anxiety, and the role of acceptance of their illness on patients’ QoL [43].
In this study, depression coexisted in approximately 84.2%(32/38) of patients with anxiety in MHD patients. Similar to a previous study [43], we observed a positive correlation between depression and anxiety symptoms in this study. These findings may be supported by a novel hypothesis that anxiety-depression is an inflammatory phenomenon, wherein the symptoms of both depression and anxiety are influenced by changes in different biological factors that are key to the generation of a systemic inflammatory response [51].
The present study has several limitations. First, the cross-sectional design of this study limits the generalizability of our findings as it provides information only at one time point. Second, this was a single-center study with a small sample size. Third, the symptoms of depression and anxiety were not measured at the first MHD event; therefore, time-based variations could not be evaluated. Fourth, despite using well-validated questionnaires, the occurrence of depression and anxiety among the patients was not confirmed by formal psychiatric assessments. The self-report nature of BDI/BAI can affect the results of psychological measurement according to social desirability and respondent educational attainment. In the future, additional high-quality, multi-center prospective randomized control trials employing larger patient populations are warranted.
In conclusion, depression and anxiety may be likely to occur among patients receiving MHD and may affect their quality of life. Higher CCI scores, lower educational status, and usage of multiple oral medications appear to be the independent risk factors of higher BDI scores, whereas longer dialysis duration and multiple oral medications may be independent risk factors of higher BAI scores. All above mentioned factors may probably become indicators for screening high-risk population of depression and anxiety. Subsequently, we could further explore new approaches for non-psychiatric clinician to cope with depression and anxiety independent of psychotropic drugs.
Acknowledgements
Not applicable.
Abbreviations
- MHD
Maintenance hemodialysis
- BDI
Beck Depression Inventory
- BAI
Beck Anxiety Inventory
- CCI
Charlson Comorbidity Index
- ESRD
End-stage renal disease
- SSRIs
Selective serotonin- reuptake inhibitors
- CKD
Chronic kidney disease
- SF-36
36-item Short Form Health Survey
- SPSS
Statistical Package for Social Sciences
- SD
Standard deviation
Authors’ contributions
Conceptualization: W Y, LZ W, Data curation: W Y, LZ W, Formal analysis: W Y, CJ Funding acquisition: LZ W. Investigation: W Y, CJ W. Methodology: W Y, Y W. Project administration: LZ W. Resources: LZ W, W Y. Software: JY Z. Supervision: Y W. Validation: W Y. Visualization: W Y. Writing-original draft: W Y. Writing-review & editing: W Y. All authors read and approved the final manuscript.
Funding
Not applicable.
Availability of data and materials
All data generated or analysed during this study are included in this published article.
Declarations
Ethics approval and consent to participate
This study was conducted in compliance with local regulations and revised established principles of the Declaration of Helsinki. The Medical Ethics Committee of Jinshan Hospital affiliated to Fudan University (Approval No: JIEC2022-S03) approved the study and written informed consent to investigation was obtained from all participants.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Feroze U, Martin D, Kalantar-Zadeh K, Kim JC, Reina-Patton A, Kopple JD. Anxiety and depression in maintenance dialysis patients: preliminary data of a cross-sectional study and brief literature review. J Ren Nutr. 2012;22:207–210. doi: 10.1053/j.jrn.2011.10.009. [DOI] [PubMed] [Google Scholar]
- 2.Kimmel PL, Fwu CW, Abbott KC, Moxey-Mims MM, Mendley S, Norton JM, et al. Psychiatric illness and mortality in hospitalized ESKD Dialysis patients. Clin J Am Soc Nephrol. 2019;14:1363–1371. doi: 10.2215/CJN.14191218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Levenson JL, Owen JA. Renal and urological disorders. In: Levenson JL, Ferrando SJ, editors. In: Clinical Manual of Psychopharmacology in the Medically Ill. Second. Arlington: American Psychiatric Association Publishing; 2017. p. 195. [Google Scholar]
- 4.King-Wing Ma T, Kam-Tao LP. Depression in dialysis patients. Nephrology (Carlton) 2016;21:639–646. doi: 10.1111/nep.12742. [DOI] [PubMed] [Google Scholar]
- 5.Flythe JE. ASCENDing to New Heights in our understanding of the treatment of depression among individuals receiving hemodialysis. Ann Intern Med. 2019;170:414–415. doi: 10.7326/M19-0526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Farrokhi F, Abedi N, Beyene J, Kurdyak P, Jassal SV. Association between depression and mortality in patients receiving long-term dialysis: a systematic review and meta-analysis. Am J Kidney Dis. 2014;63:623–635. doi: 10.1053/j.ajkd.2013.08.024. [DOI] [PubMed] [Google Scholar]
- 7.Griva K, Kang AW, Yu ZL, Lee VY, Zarogianis S, Chan MC, et al. Predicting technique and patient survival over 12 months in peritoneal dialysis: the role of anxiety and depression. Int Urol Nephrol. 2016;48:791–796. doi: 10.1007/s11255-015-1191-x. [DOI] [PubMed] [Google Scholar]
- 8.Loosman WL, Rottier MA, Honig A, Siegert CE. Association of depressive and anxiety symptoms with adverse events in Dutch chronic kidney disease patients: a prospective cohort study. BMC Nephrol. 2015;16:155. doi: 10.1186/s12882-015-0149-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kop WJ, Seliger SL, Fink JC, Katz R, Odden MC, Fried LF, et al. Longitudinal association of depressive symptoms with rapid kidney function decline and adverse clinical renal disease outcomes. Clin J Am Soc Nephrol. 2011;6:834–844. doi: 10.2215/CJN.03840510. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hays RD, Kallich JD, Mapes DL, Coons SJ. Kamberg CJAMfU. Kidney Disease Quality of Life Short Form (KDQOL-SF), Version 1.3: A manual for use and scoring. A Manual for Use Scoring. 1997. [Google Scholar]
- 11.Oyekçin DG, Gülpek D, Sahin EM, Mete L. Depression, anxiety, body image, sexual functioning, and dyadic adjustment associated with dialysis type in chronic renal failure. Int J Psychiatry Med. 2012;43:227–241. doi: 10.2190/PM.43.3.c. [DOI] [PubMed] [Google Scholar]
- 12.Palmer BF. Sexual dysfunction in uremia. J Am Soc Nephrol. 1999;10:1381–1388. doi: 10.1681/ASN.V1061381. [DOI] [PubMed] [Google Scholar]
- 13.Kimmel PL, Emont SL, Newmann JM, Danko H, Moss AH. ESRD patient quality of life: symptoms, spiritual beliefs, psychosocial factors, and ethnicity. Am J Kidney Dis. 2003;42:713–721. doi: 10.1016/S0272-6386(03)00907-7. [DOI] [PubMed] [Google Scholar]
- 14.Turkistani I, Nuqali A, Badawi M, Taibah O, Alserihy O, Morad M, et al. The prevalence of anxiety and depression among end-stage renal disease patients on hemodialysis in Saudi Arabia. Ren Fail. 2014;36:1510–1515. doi: 10.3109/0886022X.2014.949761. [DOI] [PubMed] [Google Scholar]
- 15.Halili, Shahla & Kharaj, Mahdieh & Sabetnia, Leila & Hayati, Fatemeh & Pourshams, Maryam. On the Relationship Between Depression and Its Severity with Dialysis Adequacy in Hemodialysis Patients in Ahvaz Teaching Hospitals. Jundishapur Journal of Chronic Disease Care. In Press. 10.5812/jjcdc.117136.
- 16.Depression in adults receiving maintenance dialysis. Author: Rebecca J Schmidt Section Editor: Jonathan M Silver Deputy Editor: David Solomon Wolters Kluwer publisher.
- 17.Cukor D, Cohen SD, Peterson RA, Kimmel PL. Psychosocial aspects of chronic disease: ESRD as a paradigmatic illness. J Am Soc Nephrol. 2007;18:3042–3055. doi: 10.1681/ASN.2007030345. [DOI] [PubMed] [Google Scholar]
- 18.Mosleh H, Alenezi M, Al Johani S, Alsani A, Fairaq G, Bedaiwi R. Prevalence and factors of anxiety and depression in chronic kidney disease patients undergoing hemodialysis: a cross-sectional single-center study in Saudi Arabia. Cureus. 2020;12:e6668. doi: 10.7759/cureus.6668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Fischer MJ, Xie D, Jordan N, Kop WJ, Krousel-Wood M, Kurella Tamura M, et al. Factors associated with depressive symptoms and use of antidepressant medications among participants in the chronic renal insufficiency cohort (CRIC) and Hispanic-CRIC studies. Am J Kidney Dis. 2012;60:27–38. doi: 10.1053/j.ajkd.2011.12.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Davin K, Quinn, Daniel C. Chapter 7 - Depression in patients with CKD and ESRD. Editor(s): Daniel Cukor, Scott D Cohen, Paul L Kimmel, Psychosocial Aspects of Chronic Kidney Disease, Academic Press. 2021:143-65.
- 21.Othayq A, Aqeeli A. Prevalence of depression and associated factors among hemodialyzed patients in Jazan area, Saudi Arabia: a cross-sectional study. Ment Illn. 2020;12:1–5. doi: 10.1108/MIJ-02-2020-0004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Brito DCS, Machado EL, Reis IA, Carmo L, Cherchiglia ML. Depression and anxiety among patients undergoing dialysis and kidney transplantation: a cross-sectional study. Sao Paulo Med J. 2019;137:137–147. doi: 10.1590/1516-3180.2018.0272280119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Al-Shammari N, Al-Modahka A, Al-Ansari E, Al-Kandari M, Ibrahim KA, Al-Sanea J, et al. Prevalence of depression, anxiety, and their associations among end-stage renal disease patients on maintenance hemodialysis: a multi-center population-based study. Psychol Health Med. 2021;26:1134–1142. doi: 10.1080/13548506.2020.1852476. [DOI] [PubMed] [Google Scholar]
- 24.Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–383. doi: 10.1016/0021-9681(87)90171-8. [DOI] [PubMed] [Google Scholar]
- 25.Lowrie EG, Curtin RB, LePain N, Schatell D. Medical outcomes study short form-36: a consistent and powerful predictor of morbidity and mortality in dialysis patients. Am J Kidney Dis. 2003;41:1286–1292. doi: 10.1016/S0272-6386(03)00361-5. [DOI] [PubMed] [Google Scholar]
- 26.Beck AT, Steer RA, Carbin MG. Psychometric properties of the Beck depression inventory: twenty-five years of evaluation. Clin Psychol Rev. 1988;8:77–100. doi: 10.1016/0272-7358(88)90050-5. [DOI] [Google Scholar]
- 27.Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical anxiety: psychometric properties. J Consult Clin Psychol. 1988;56:893–897. doi: 10.1037/0022-006X.56.6.893. [DOI] [PubMed] [Google Scholar]
- 28.Beck AT, Steer RA. Beck anxiety inventory manual. San Antonio: The Psychological Corp Harcourt Brace & Company; 1993. [Google Scholar]
- 29.Clark JM, Marszalek JM, Bennett KK, Harry KM, Howarter AD, Eways KR, et al. Comparison of factor structure models for the Beck anxiety inventory among cardiac rehabilitation patients. J Psychosom Res. 2016;89:91–97. doi: 10.1016/j.jpsychores.2016.08.007. [DOI] [PubMed] [Google Scholar]
- 30.Corp I. IBM SPSS Statistics for windows, IBM Corp, Armonk, NY.
- 31.Elkheir HK, Wagaella AS, Badi S, Khalil A, Elzubair TH, Khalil A, et al. Prevalence and risk factors of depressive symptoms among dialysis patients with end-stage renal disease (ESRD) in Khartoum, Sudan: a cross-sectional study. J Family Med Prim Care. 2020;9:3639–3643. doi: 10.4103/jfmpc.jfmpc_1229_19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Kao TW, Lai MS, Tsai TJ, Jan CF, Chie WC, Chen WY. Economic, social, and psychological factors associated with health-related quality of life of chronic hemodialysis patients in northern Taiwan: a multicenter study. Artif Organs. 2009;33:61–68. doi: 10.1111/j.1525-1594.2008.00675.x. [DOI] [PubMed] [Google Scholar]
- 33.Junior GS, Barbosa A, Silva G, Silva L, Lima GR, Santana CC, et al. Depressive symptoms in chronic kidney disease: a comparison between patients on dialysis versus conservative treatment. Nefrología Latinoamericana. 2017;14(4):153–159. doi: 10.1016/j.nefrol.2017.05.001. [DOI] [Google Scholar]
- 34.Saeed Z, Ahmad AM, Shakoor A, Ghafoor F, Kanwal S. Depression in patients on hemodialysis and their caregivers. Saudi J Kidney Dis Transpl. 2012;23:946–952. doi: 10.4103/1319-2442.100869. [DOI] [PubMed] [Google Scholar]
- 35.AlDukhayel A. Prevalence of depressive symptoms among hemodialysis and peritoneal Dialysis patients. Int J Health Sci (Qassim) 2015;9:9–16. doi: 10.12816/0024678. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Nelson V, Rakesh PS, Simon S, Babu V, Vikraman V, Abraham S, et al. Depression among dialysis patients attending a tertiary care hospital in Kerala. Southern India Natl Kidney Found J Nephrol Soc Work. 2015:34–7.
- 37.Chilcot J, Wellsted D, Da Silva-Gane M, Farrington K. Depression on dialysis. Nephron Clin Pract. 2008;108:c256–c264. doi: 10.1159/000124749. [DOI] [PubMed] [Google Scholar]
- 38.Lin X, Lin J, Liu H, Teng S, Zhang W. Depressive symptoms and associated factors among renal-transplant recipients in China. International Nursing Science. 2016;3:7. [Google Scholar]
- 39.Theofilou P. Depression and anxiety in patients with chronic renal failure: the effect of sociodemographic characteristics. Int J Nephrol. 2011;2011:514070. doi: 10.4061/2011/514070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Fischer MJ, Kimmel PL, Greene T, Gassman JJ, Wang X, Brooks DH, et al. Sociodemographic factors contribute to the depressive affect among African Americans with chronic kidney disease. Kidney Int. 2010;77:1010–1019. doi: 10.1038/ki.2010.38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Chiang HH, Livneh H, Yen ML, Li TC, Tsai TY. Prevalence and correlates of depression among chronic kidney disease patients in Taiwan. BMC Nephrol. 2013;14:78. doi: 10.1186/1471-2369-14-78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Bayat N, Alishiri GH, Salimzadeh A, Izadi M, Saleh DK, Lankarani MM, et al. Symptoms of anxiety and depression: a comparison among patients with different chronic conditions. J Res Med Sci. 2011;16:1441–1447. [PMC free article] [PubMed] [Google Scholar]
- 43.Murtagh FE, Addington-Hall J, Higginson IJ. The prevalence of symptoms in end-stage renal disease: a systematic review. Adv Chronic Kidney Dis. 2007;14:82–99. doi: 10.1053/j.ackd.2006.10.001. [DOI] [PubMed] [Google Scholar]
- 44.Marthoenis M, Syukri M, Abdullah A, Tandi TMR, Putra N, Laura H, et al. Quality of life, depression, and anxiety of patients undergoing hemodialysis: significant role of acceptance of the illness. Int J Psychiatry Med. 2021;56:40–50. doi: 10.1177/0091217420913382. [DOI] [PubMed] [Google Scholar]
- 45.Hao W, Tang Q, Huang X, Ao L, Wang J, Xie D. Analysis of the prevalence and influencing factors of depression and anxiety among maintenance dialysis patients during the COVID-19 pandemic. Int Urol Nephrol. 2021;53:1453–1461. doi: 10.1007/s11255-021-02791-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.AlRuthia Y, Sales I, Almalag H, Alwhaibi M, Almosabhi L, Albassam AA, et al. The relationship between health-related quality of life and Trust in Primary Care Physicians among Patients with diabetes. Clin Epidemiol. 2020;12:143–151. doi: 10.2147/CLEP.S236952. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Ravindran A, Sunny A, Kunnath RP, Divakaran B. Assessment of quality of life among end-stage renal disease patients undergoing maintenance hemodialysis. Indian J Palliat Care. 2020;26:47–53. doi: 10.4103/IJPC.IJPC_141_19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.He S, Zhu J, Jiang W, Ma J, Li G, He Y. Sleep disturbance, negative affect and health-related quality of life in patients with maintenance hemodialysis. Psychol Health Med. 2019;24:294–304. doi: 10.1080/13548506.2018.1515493. [DOI] [PubMed] [Google Scholar]
- 49.Tsai YC, Chiu YW, Hung CC, Hwang SJ, Tsai JC, Wang SL, et al. Association of symptoms of depression with progression of CKD. Am J Kidney Dis. 2012;60:54–61. doi: 10.1053/j.ajkd.2012.02.325. [DOI] [PubMed] [Google Scholar]
- 50.Rebollo Rubio A, Morales Asencio JM, Eugenia Pons Raventos M. Depression, anxiety and health-related quality of life amongst patients who are starting dialysis treatment. J Ren Care. 2017;43:73–82. doi: 10.1111/jorc.12195. [DOI] [PubMed] [Google Scholar]
- 51.Camacho A. Is anxious-depression an inflammatory state? Med Hypotheses. 2013;81:577–581. doi: 10.1016/j.mehy.2013.07.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data generated or analysed during this study are included in this published article.