Published ahead of print on April 4, 2007
Clin J Am Soc Nephrol 2: 484-490, 2007
© 2007 American Society of Nephrology
doi: 10.2215/CJN.00040107
Depression and Anxiety in Urban Hemodialysis Patients
Daniel Cukor*,
Jeremy Coplan*,
Clinton Brown
,
Steven Friedman*,
Allyson Cromwell-Smith*,
,
Rolf A. Peterson
, and
Paul L. Kimmel||,¶
Departments of * Psychiatry and Behavioral Sciences and
Medicine, SUNY Downstate Medical Center, Brooklyn, and
Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, New York; and Departments of
Psychology and || Medicine, George Washington University, and ¶ American Society of Nephrology, Washington, DC
Address correspondence to: Dr. Daniel Cukor, Department of Psychiatry, SUNY Downstate Medical Center, 450 Clarkson Avenue, Box 1203, Brooklyn, NY 11203-2098. Phone: 718-270-2077; Fax: 718-270-3017; E-mail: daniel.cukor{at}downstate.edu
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Abstract
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Depression is well established as a prevalent mental health problem for people with ESRD and is associated with morbidity and mortality. However, depression in this population remains difficult to assess and is undertreated. Current estimates suggest a 20 to 30% prevalence of depression that meets diagnostic criteria in this population. The extent of other psychopathology in patients with ESRD is largely unknown. The aim of this study was to expand the research on psychiatric complications of ESRD and examine the prevalence of a broad range of psychopathology in an urban hemodialysis center and their impact on quality of life. With the use of a clinician-administered semistructured interview in this randomly selected sample of 70 predominately black patients, >70% were found to have a psychiatric diagnosis. Twenty-nine percent had a current depressive disorder: 20% had major depression, and 9% had a diagnosis of dysthymia or depression not otherwise specified. Twenty-seven percent had a current major anxiety disorder. A current substance abuse diagnosis was found in 19%, and 10% had a psychotic disorder. The mean Beck Depression Inventory score was 12.1 ± 9.8. Only 13% reported being in current treatment by a mental health provider, and only 5% reported being prescribed psychiatric medication by their physician. A total of 7.1% had compound depression or depression coexistent with another psychiatric disorder. The construct of depression was also disentangled from the somatic effects of poor medical health by demonstrating a unique relationship between depressive affect and depression diagnosis, independent of health status. This study also suggests the utility of cognitive variables as a meaningful way of understanding the differences between patients who have ESRD with clinical depression or other diagnoses and those who have no psychiatric comorbidity. The findings of both concurrent and isolated anxiety suggest that the prevalence of psychopathology in patients with ESRD might be higher than previously expected, and the disorders may need to be treated independently. In addition, the data suggest that cognitive behavioral therapeutic techniques may be especially advantageous in this population of patients who are treated with many medications.
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Introduction
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Previous studies established depression as the primary mental health problem of patients with ESRD (18). There are recent estimates of a 20 to 30% incidence of depressive disorders in hemodialysis populations (3,68). Depression is second only to hypertension in frequency as a comorbid diagnosis in patients with ESRD (9), yet it is understudied (4) and seldom identified or treated adequately in hemodialysis patients (5,7,8). Furthermore, depression has been associated with impaired recovery and increased mortality in many diseases (10,11) and specifically in ESRD (12,13). In addition, we and others have shown that depression is associated with diminished perception of quality of life (14,15).
Despite this high rate of depression and the established complications of depression, there is little research on clinical interventions in this problem in patients with chronic kidney disease (16,17). One possible explanation for the lack of intervention trials is that there is still significant confusion regarding how to recognize and define "depression" in the ESRD population (1,4). There is strong overlap between uremic and depressive symptoms, and it can be difficult to identify psychiatric illness against the backdrop of the medical illness (14). For example, negative affect as a result of depression can be difficult to distinguish from the known uremic symptoms of irritability, cognitive dysfunction, and encephalopathy or from drug effects or inadequate dialysis. In addition, comorbid depression, or depression that coexists with another psychiatric or medical illness, may render depression relatively refractory to treatment (13,6,18,21). Although recent work has emphasized the place of pharmacotherapy for depression, nondrug therapies have also shown to have a place in its treatment (2224). Kimmel et al. (6) showed that anxiety disorders were prevalent in the Medicare ESRD population, but no study to our knowledge has surveyed patients with ESRD for the presence of multiple psychiatric disorders.
A possible way to differentiate between a psychiatric illness such as depression and medical illness involves delineating differences in thinking styles. Cognitive theory posits that people have cognitive conceptualizations of themselves and the world around them (25). When these core conceptualizations, or schemas, are maladaptive, psychopathology is created. Exploring a patient's cognitive schema could be an important tool in differentiating between the unhealthy schema that is associated with depression that stems from a maladaptive view of the world and the psychologically healthy schema of somatic depression that stems from medical illness, such as uremia. Specifically, for there to be meaning in the difference between people who score higher on measures of depressive affect or even a Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnosis of depression and those with lower levels of depressive affect, there needs to be a difference in the quality and/or quantity of dysfunctional schema.
Depression may be a salient problem for black patients with ESRD (26), and barriers to therapy may render treatment less available to this population (26,27). The existence of multiple psychiatric comorbid illnesses is an important public health problem in this vulnerable population, in an entitled program with total outlays exceeding $32.5 billion per year in the United States (5,26).
We therefore wished to study the prevalence of the broad range of comorbid psychiatric illnesses in an inner-city hemodialysis population and to assess the interaction of medical and psychiatric diagnoses in association with patients perceptions of quality of life. We specifically wished to dissociate the symptoms of depression from those of uremia, using a novel approach based on the identification of depression-specific cognitive schema, and to differentiate between depression and anxiety.
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Materials and Methods
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This study was approved by the institutional review board. Participants were randomly selected from the adult hemodialysis patients at a major urban dialysis center in central Brooklyn. All patients in each shift were assigned a number, and then a random list was developed to determine the order in which patients were approached. All selected patients were approached at the dialysis center, and informed consent was obtained. Patients were compensated $20 for their time upon the successful completion of all measures, which took an estimated 2 to 2.5 h. With a desired
of 0.05, an anticipated effect size of 0.15 (medium), and a desired power of 0.80, our estimated a priori sample size was 58 for the hierarchical regression and 17 patients for each of the four cells of our ANOVA. A sample size of 70 was selected to guarantee appropriate power for these analyses, and recruitment continued until 70 participants had completed the assessment. In total, 85 patients, of the possible 123 in the dialysis center, were approached with 73 agreeing to participate; 70 of these 73 completed the assessment. One of the randomly selected patients was unable to complete the informed consent because of her impaired consciousness, so she was not eligible for inclusion in the study. No data are available on the other 11 people who refused to participate. Two of the three who did not complete the assessment had been hospitalized. One stated that her husband wished that she not participate, so she withdrew. Interviews were audiotaped and then independently reviewed for diagnostic accuracy with an overall good level of agreement between raters (r = 0.94).
Measures
The Structured Clinical Interview for DSM-IV.
The Structured Clinical Interview for DSM-IV (SCID) (28) is a semistructured interview for making the major Axis I DSM-IV diagnoses. Using a decision tree approach, the SCID guides the clinician in testing diagnostic hypotheses as the interview is conducted. The output of the SCID is a record of the presence or absence of each of the disorders being considered, for current episode (past month). It has variable but acceptable reliability and validity and is accepted as the "gold standard" for deriving psychiatric diagnoses in research studies. It has been previously used in ESRD populations (8,29,30).
Beck Depression Inventory.
The Beck Depression Inventory (BDI) (31) is a 21-item self-report instrument with high scores (range 0 to 63) reflecting the presence and the severity of depressed mood. It is a reliable and well-validated measure of depressive symptoms in both clinical and nonclinical samples (32). The BDI has been used extensively in ESRD populations (7,12,13,33,34). Kimmel's team has demonstrated its use in a black hemodialysis patient population (12,13,26). The standard cutoff for depression is a score of 10 or greater in the general population (32); however, in patients with ESRD, a score of 15 or greater has been suggested (35).
Kidney Disease Quality of Life Short Form.
The Kidney Disease Quality of Life Short Form (KDQOL-SF) (36) assesses the quality of life of patients with kidney disease. This is accomplished with 43 disease-specific items, 36 generic (SF-36) items, and an overall health-ranking item. Items of the KDQOL-SF are arranged in these subscales: Kidney diseasespecific items (symptom/problem list, effects of kidney disease, burden of kidney disease, work status, cognitive function, quality of social interaction, sexual function, sleep, social support, dialysis staff encouragement, patient satisfaction, and overall health rating), generic items (physical functioning, general health, pain, role-physical, emotional well-being, role-emotional, social function, energy/fatigue), and items regarding background information. The KDQOL has been used widely in ESRD populations (15,37,38).
Young's Schema QuestionnaireShort Form (39).
The Young's Schema Questionnaire (YSQ) is a 75-item self-report inventory that was designed to measure 15 core beliefs or schemas organized into five domains. It is a relatively new instrument. Shah and Waller (40) published preliminary norms for a depressed group, and it has been used in depressed populations (41) as well as with people with an abuse history (42). Schmidt et al. (43) showed that its primary scales possess adequate testretest reliability and internal consistency, with the majority of the proposed scales being replicated by factor analysis. The YSQ has also been found to possess convergent and discriminant validity with respect to measures of psychologic distress, self-esteem, cognitive vulnerability for depression, and personality disorder symptoms (43). A higher score reflects a more maladaptive, unhealthy core belief. The five domains with their subscales are displayed in the appendix.
Statistical Analyses
All data were analyzed using the computer-based statistical software package SPSS (version 13.0; SPSS, Chicago, IL). Descriptive statistics were calculated for the sample population, and the group differences were compared for continuous variables with an ANOVA, using Tukey least significant difference (LSD) for post hoc comparisons. Pearson correlations were derived, and tests of significance were set at 0.05. Patients were divided by type of psychopathology, and their quality of life, depressive affect, and cognitive schema were compared. For the ordinal comparisons, a cross-tabs with
2 was used. For exploration of the effects of self-reported health status and depression on quality of life, a factorial ANOVA was undertaken, in which high and low scorers, determined by median split on the SF-36, and those with and without a depression diagnosis were compared on overall quality of life. Finally, for identification of the unique variance in depression diagnosis as a result of depressive affect once the common variance with health status had been controlled, a hierarchical logistic regression was used The SF-36 was entered into the model first and then BDI score to examine the unique effect of depression once the shared effects of health status were controlled.
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Results
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Women composed 53% of the sample, and 50% of the people had been born in the United States (Table 1). The average age was 53.2 ± 15.0 yr. Eighty-nine percent identified themselves as black or Afro-Caribbean, 3% as Hispanic, 1% as white, and 7% as other. The average amount of education was 12.7 ± 3.7 yr. The sample was medically ill, averaging 1.9 ± 3.3 hospitalizations within the past year. The average duration for which patients were treated with dialysis was 61.0 ± 63.6 mo. Only 14% of the sample was working.
Psychopathology
In the total sample of 70 patients with ESRD, 71.4% had a current DSM-IV Axis I diagnosis based on the SCID-I (Figure 1). Twenty-nine percent had a current depressive disorder: 20% had major depression, and 9% had a diagnosis of dysthymia or depression not otherwise specified. No patients had a diagnosis of bipolar disorder. Twenty-seven percent had a current major anxiety disorder (panic with or without agoraphobia, posttraumatic stress disorder, obsessive-compulsive disorder, social phobia, or generalized anxiety disorder). A current substance abuse diagnosis was found in 19%, and 10% had a current psychotic disorder. The group had a mean BDI score of 12.1 ± 9.8. Thirteen percent of the sample reported being in current treatment by a mental health provider, and an additional 5% reported being prescribed psychiatric medication by their physician. There were no differences between SCID groups regarding employment or place of birth. In a one-way ANOVA, there were no differences in the rates of psychopathology by age, length of time treated for ESRD, years of education, or number of medical hospitalizations in the past year.
Differences among Psychiatric Diagnostic Groups
Patients were divided into psychopathology groups on the basis of their SCID diagnoses to understand the interplay between psychiatric diagnosis and quality of life, depressive affect, and cognitive schema. There was significant overlap (60%) between psychotic diagnoses and substance abuse diagnoses, so these diagnostic groups were combined. Of the 70 patients, only seven had diagnoses from more than one diagnostic group. Two patients had both an anxiety and a depressive disorder; two patients had an anxiety and a substance/psychotic disorder; and three patients had an anxiety, a depression, and a substance/psychotic diagnosis. These patients were excluded from this analysis. Overall, there were significant differences in an ANOVA between psychopathology diagnoses and the BDI scores (F3,59 = 14.4, P < 0.001; Table 2). The depressed group had significantly higher mean BDI scores (21.9 ± 10.1) than the no psychopathology group (6.0 ± 4.3; Tukey HSD P < 0.01), the anxiety group (10.4 ± 8.3; Tukey HSD P < 0.01), and the other psychopathology group (10.1 ± 6.8; Tukey HSD P < 0.01). There were also significant differences on the KDQOL (F3,59 = 16.9, P < 0.001), with the depressed group having significantly lower total quality of life than the no psychopathology group (51.1 ± 13.2 versus 75.4 ± 7.5; Tukey HSD P < 0.001), the anxiety group (65.6 ± 13.1; Tukey HSD P < 0.001), and the other psychopathology group (67.8 ± 5.6; Tukey HSD P < 0.001). The anxiety group demonstrated a lower perception of quality of life (KDQOL) than the no psychopathology group (65.6 ± 13.1 versus 75.4 ± 7.5; Tukey HSD P < 0.001). Age, gender, and length of time on dialysis were examined as possible covariates but did not significantly effect these relationships (P > 0.05).
There were significant differences across psychopathology groups on the YSQ domains of disconnection and rejection (F3,59 = 6.8, P < 0.001) and impaired autonomy (F3,59 = 9.8, P < 0.001), with the depressed group showing higher values compared with the no psychopathology group (Tukey HSD P < 0.001) on both of these domains (Table 2). There were also differences on the other directedness YSQ domain (F3,59 = 5.3, P < 0.001), with people with psychotic or substance abuse diagnoses showing higher values when compared with the no psychopathology group (Tukey HSD P < 0.001).
Quality of Life
The mean score for all patients on the KDQOL-SF was 65.8 ± 13.5, whereas the mean score on the SF-36 was 50.1 ± 70.3. It is interesting that there were no significant relationships between either perception of quality of life or self-reported health status and number of hospitalizations in the past year or length of time on dialysis (NS in all cases). For exploration of the effects of self-reported health status and depression on quality of life, a factorial ANOVA was undertaken. This analysis compared high and low scorers on the SF-36 with those with and without a depression diagnosis on KDQOL values. Both poor health status (F1,69 = 14.7, P < 0.001) and a positive depression diagnosis (F1,69 = 37.3, P < 0.001) were significantly associated with perception of lower quality of life. It is interesting that there was no interaction effect (F1,69 = .93, NS), indicating that both health status and depression diagnosis make unique contributions to the variance within quality-of-life scores.
To highlight further the existence of depression independent of health status, we performed a hierarchical regression (entering SF-36 first and then BDI score) to predict SCID depression diagnosis. This method allowed for isolation of the unique variance in depression diagnosis as a result of depressive affect, once the common variance with health status had been controlled. The BDI retained its significance in predicting depression diagnosis (Nagelkerke R2 = 0.515, P < 0.001), even when the shared variance with the SF-36 was held constant. The BDI step of the model correctly classified 82.6% of SCID depression cases correctly, indicating the presence of a unique construct of depression independent of health status.
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Discussion
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This study sought to explore the range and the extent of psychopathology in urban patients who had ESRD and were treated with hemodialysis. Information on 70 randomly selected inner-city patients from the Hemodialysis Center was gathered. Overall, the population had a high rate of DSM-IV diagnoses (74%), as determined by the clinician-administered SCID. This is the first known report on the full spectrum of psychiatric disorders determined systematically in a hemodialysis population. Rates of depression were comparable to other studies in ESRD and other medically ill populations (13). We found that the rate of major depression (20%) and dysthymia (9%) in the current study were in good agreement with other ESRD studies. Watnick et al. (30) found SCID rates of depression of 26%, Hedayati et al. (8) reported a SCID depression prevalence of 27%, and Kimmel et al. (44) reported depression at 25% using a stringent cutoff of the BDI. The rate of anxiety disorders (27%) was somewhat higher than the expected rate (18%) on the basis of the National Comorbidity Survey (45). The rates of substance abuse disorders and psychotic disorders were higher than community averages, but that was anticipated because of the relationship between the cause of kidney disease and substance abuse (6,46,47) and the known prevalence of psychiatric disorders in patients who have ESRD and are treated with hemodialysis (6,48).
More than 80% of patients with a psychotic disorder reported receiving mental health treatment, but only 12% of patients with a diagnosis of anxiety or depression were currently receiving treatment. This highlights how underrecognized depression and anxiety are and perhaps suggests a tolerance of depression and anxiety by physicians and staff, accepting them as part of the ESRD experience.
The rate of comorbid depression and anxiety (7% for depression and a major anxiety disorder) was lower then expected. It is possible that the excess depression demonstrated in ESRD populations is causally linked, either biochemically or experientially, to ESRD, because there has been some research suggesting an causative link through inflammatory processes (3,49,50) and a psychodynamic literature (3,51) linking depression and dialysis. These pathways are specific for depression and do not include anxiety and therefore perhaps explain the relatively minor overlap between the diagnoses.
Because of the strong overlap between uremic and depressive symptoms, it has been difficult to isolate the unique role that depression plays in ESRD. This study sought to explore the utility of the construct of depression by examining its relationship to quality of life and self-reported health status. In accordance with previous research, a strong negative relationship between quality of life and depression scores was demonstrated (1,2,4,33). The factorial ANOVA highlighted the independent contribution that a depression diagnosis has on quality of life for patients with both high and low health status. The hierarchical regression indicated that depressive affect accounts for depression diagnosis, independent of health status, suggesting that depression exists in ESRD populations independent of uremia. Both of these analyses support the conclusion that the construct of depression is meaningful in ESRD populations.
This study also investigated the utility of using cognitive variables as another tool to understand effectively the meaningfulness of the construct of depression in this complex medically ill population. In this sample, the YSQ, specifically the disconnection and rejection domain and the impaired autonomy domain, effectively distinguished between those who had the diagnosis of depression and those who did not, granting validity to the notion of psychiatric depression in this patient population. In fact, patients with an anxiety disorder showed no elevations in their cognitive schema, lending validity to the YSQ as a sensitive measure of depressogenic schema. The elevation in the disconnection and rejection domain suggests that the depressed individuals have higher expectation that their needs for security, safety, acceptance, and respect will not be met in a predictable manner. In addition, the elevation in the impaired autonomy domain suggests that depressed individuals have increased expectations about themselves and the environment that interfere with their perceived ability to separate, survive, function independently, or perform successfully. These findings are in accordance with the primarily psychodynamic literature that discusses these themes of "aloneness" and "ineffectiveness" as hallmarks of the depressogenic changes that are associated with ESRD treatment (51).
Methodologic limitations of this study include a lack of a community comparison group and the reliance on self-report measures of physical health without corroboration from health biomarkers. Despite these limitations, there were also methodologic strengths in that it used random selection within each dialysis shift and both self-report and clinician report measures of psychopathology. In addition, these data were collected from a population that was overenriched for black patients. This is an important subpopulation in the United States, composing 13% of the total population and 32% of patients in the US Renal Data System (52). Although the data that were derived for this study may not be generalizable across the United States, these findings are largely comparable to units across the urban East Coast and Southeast of the United States, in which the overwhelming majority of patients are black (53). Our data need to be replicated in larger, multicenter studies that will yield populations that are more similar to the US Renal Data System.
It is interesting to note the psychologic state of the patients without any psychiatric illness, because their overall depression (BDI) scores place them in the normal range and their overall quality-of-life scores placed them significantly higher than patients with an anxiety or depression diagnosis. It seems that despite all of the medical and psychologic challenges of living on dialysis, people without a comorbid psychiatric condition, particularly depression, can enjoy a much greater quality of life. These findings have strong implications for the need for treatment of depression in patients with ESRD, because now there is indication that treatment might not only decrease depression but also improve quality of life (5). The study provides preliminary evidence that anxiety exists independent of depression in this patient population, and further investigation is warranted to determine whether it is best treated with the depression or independently. In addition, this study contributes to the emerging intervention literature (33,5456), suggesting more reason to suspect that interventions that are aimed at challenging distorted cognitive beliefs, perhaps using cognitive behavioral therapeutic techniques (54), will be particularly useful in this patient population, which is subject to treatment with so many medications.
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Disclosures
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None.
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Acknowledgments
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This project was supported in part by a Promoting Psychological Research and Training on Health-Disparities Issues at Ethnic Minority-Serving Institutions Grants award to D.C. from the American Psychological Association.
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Footnotes
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Published online ahead of print. Publication date available at www.cjasn.org.
Received January 3, 2007.
Accepted February 28, 2007.
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References
|
|---|
- Kimmel PL: Psychosocial factors in dialysis patients.
Kidney Int59
:1599
1613,2001[CrossRef][Medline]
- Kimmel PL, Peterson RA: Depression in end-stage renal disease patients treated with hemodialysis: Tools, correlates, outcomes, and needs.
Semin Dial18
:91
97,2005[CrossRef][Medline]
- Cukor D, Peterson RA, Cohen SD, Kimmel PL: Depression in end-stage renal disease hemodialysis patients.
Nat Clin Pract Nephrol2
:678
687,2006[CrossRef][Medline]
- Kimmel PL: Depression in patients with chronic renal disease: What we know and what we need to know.
J Psychosom Res53
:951
956,2002[CrossRef][Medline]
- Kimmel PL, Peterson RA: Depression in patients with end-stage renal disease treated with dialysis: Has the time to treat arrived?
Clin J Am Soc Nephrol1
:349
352,2006[CrossRef]
- Kimmel PL, Thamer M, Richard CM, Ray NF: Psychiatric illness in patients with end-stage renal disease.
Am J Med105
:214
221,1998[CrossRef][Medline]
- Watnick S, Kirwin P, Mahnensmith R, Concato J: The prevalence and treatment of depression among patients starting dialysis.
Am J Kidney Dis41
:105
110,2003[CrossRef][Medline]
- Hedayati SS, Bosworth HB, Kuchibhatla M, Kimmel PL, Szczech LA: The predictive value of self-reported questionnaires compared to physician diagnosis of depression in end stage renal disease patients receiving chronic hemodialysis.
Kidney Int69
:1662
1668,2006[CrossRef][Medline]
- US Renal Data System:
USRDS 2004 Annual Data Report: Atlas of End-Stage Renal Disease in the United States, Bethesda, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases,2004
- Katon W, Ciechanowski P: Impact of major depression on chronic medical illness.
J Psychosom Res53
:859
863,2002[CrossRef][Medline]
- Evans D, Charney D: Mood disorders and medical illness: A major public health problem.
Biol Psychiatry54
:177
180,2003[CrossRef][Medline]
- Kimmel PL, Peterson RA, Weihs KL, Simmens SJ, Alleyne S, Cruz I, Veis JH: Multiple measurements of depression predict mortality in a longitudinal study of chronic hemodialysis outpatients.
Kidney Int57
:2093
2098,2000[CrossRef][Medline]
- Kimmel PL, Peterson RA, Weihs KL, Simmens SJ, Alleyne S, Cruz I, Veis JH: Psychosocial factors, behavioral compliance and survival in urban hemodialysis patients.
Kidney Int54
:245
254,1998[Medline]
- Kimmel PL, Peterson RA, Weihs KL, Simmens SJ, Boyle DH, Cruz I, Umana WO, Alleyne S, Veis JH: Aspects of quality of life in hemodialysis patients.
J Am Soc Nephrol6
:1418
1426,1995[Abstract]
- Kimmel PL, Patel SS: Quality of life in patients with chronic kidney disease: Focus on end-stage renal disease treated with hemodialysis.
Semin Nephrol26
:68
79,2006[CrossRef][Medline]
- Rabindranath KS, Butler JA, Macleod AM, Roderick P, Wallace SA, Daly C: Physical measures for treating depression in dialysis patients.
Cochrane Database Syst Rev(3)
:CD004541
,2005
- Rabindranath KS, Daly C, Butler JA, Roderick PJ, Wallace S, Macleod AM: Psychosocial interventions for depression in dialysis patients.
Cochrane Database Syst Rev(20)
:CD004542
,2005
- Kimmel PL, Weihs KL, Peterson RA: Survival in hemodialysis patients: The role of depression.
J Am Soc Nephrol4
:12
27,1993[Medline]
- Keitner GI, Ryan CE, Miller IW, Kohn R, Epstein NB: 12-month outcome of patients with major depression and comorbid psychiatric or medical illness (compound depression).
Am J Psychiatry148
:345
350,1991[Abstract/Free Full Text]
- Klein DN, Taylor EB, Harding K, Dickstein S: Double depression and episodic major depression: Demographic, clinical, familial, personality, and socioenvironmental characteristics and short-term outcome.
Am J Psychiatry145
:1226
1231,1988[Abstract/Free Full Text]
- Black DW, Winokur G, Nasrallah A: Treatment and outcome in secondary depression: A naturalistic study of 1087 patients.
J Clin Psychiatry48
:438
441,1987[Medline]
- Whooley MA, Simon GE: Managing depression in medical outpatients.
N Engl J Med343
:1942
1950,2000[Free Full Text]
- Stokes PE. New psychopharmacologic treatment strategies.
Ann Intern Med135
:1008
,2001[Free Full Text]
- Mann JJ: The medical management of depression.
N Engl J Med353
:1819
1834,2005[Free Full Text]
- McGinn LK, Young JE, Sanderson WC: When and how to do longer term therapy... without feeling guilty.
Cogn Behav Pract2
:187
212,1994
- Kimmel PL, Patel SS, Peterson RA: Depression in African-American patients with kidney disease.
J Natl Med Assoc94
:92S
103S,2002[Medline]
- Blazer DG, Moody-Ayers S, Craft-Morgan J, Burchett B: Depression in diabetes and obesity: Racial/ethnic/gender issues in older adults.
J Psychosom Res53
:913
916,2002[CrossRef][Medline]
- First MB, Spitzer RL, Gibbon M, Williams J:
Structured Clinical Interview for DSM-IV Axis I Disorders, Clinician Version, Washington, DC, American Psychiatric Press,1996
- Kalender B, Corapcioglu Ozdemir A, Koroglu G: Association of depression with markers of nutrition and inflammation in chronic kidney disease and end-stage renal disease.
Nephron Clin Pract10
:c115
c121,2005
- Watnick S, Wang PL, Demadura T, Ganzini L: Validation of two depression screening tools in dialysis patients.
Am J Kidney Dis46
:919
924,2005[CrossRef][Medline]
- Beck AT, Steer R:
Manual for the Beck Depression Inventory, San Antonio, TX, The Psychological Corporation,1987
- Beck AT, Steer R A, Garbin MG: Psychometric properties of the Beck Depression Inventory: Twenty-five years of evaluation.
Clin Psychol Rev142
:559
563,1988
- Finkelstein F, Watnick S, Finkelstein S, Wuerth D: The treatment of depression in patients maintained on dialysis.
J Psychosom Res53
:957
960,2002[CrossRef][Medline]
- Peterson R, Kimmel PL, Sacks C, Mesquita M, Simmens S, Reiss D: Depression, perception of illness and mortality in patients with end-stage renal disease.
Int J Psychiatry Med21
:343
354,1991[Medline]
- Craven JL, Rodin G: Somatic symptoms and the diagnosis of depression in medically ill patients.
Am J Psychiatry147
:814
815,1990[Medline]
- Hays RD, Kallich JD, Mapes DL, Coons SJ, Amin N, Carter WB, Kamberg C.
Kidney Disease Quality of Life Short Form (KDQOL-SFTM), Version 1.3: A Manual for Use and Scoring, Santa Monica, CA, RAND,1997
- Gorodetskaya I, Zenios S, McCulloch CE, Bostrom A, Hsu CY, Bindman AB, Go AS, Chertow GM: Health-related quality of life and estimates of utility in chronic kidney disease.
Kidney Int68
:2801
2808,2005[CrossRef][Medline]
- Lee AJ, Morgan CL, Conway P, Currie CJ: Characterization and comparison of health-related quality of life for patients with renal failure.
Curr Med Res Opin21
:1777
1783,2005[CrossRef][Medline]
- Young JE, Brown G:
Schema Questionnaire, New York: Cognitive Therapy Center of New York,1990
- Shah R, Waller G: Parental style and vulnerability to depression: The role of core beliefs.
J Nerv Ment Dis188
:9
25,2000
- McGinn LK, Cukor D, Sanderson B: The relationship between parenting style, cognitive style, and anxiety and depression: Does increased early adversity influence symptom severity through the mediating role of cognitive style?
Cognit Ther Res Pract29
:219
242,2005[CrossRef]
- Cukor D, McGinn LK: Abuse and adult depression in women: The mediating role of cognitive schema.
J Child Sex Abuse15
:19
35,2006
- Schmidt NB, Joiner TE, Young JE, Telch MJ: The Schema Questionnaire: Investigation of psychometric properties and the hierarchical structure of a measure of maladaptive schemata.
Cognit Ther Res19
:295
321,1995[CrossRef]
- Kimmel PL, Peterson RA, Weihs KL, Simmens SJ, Boyle DH: Psychologic functioning, quality of life and behavioral compliance in patients beginning hemodialysis.
J Am Soc Nephrol7
:2152
2159,1996[Abstract]
- Kessler RC, Chiu WT, Demler O, Walters EE: Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the national comorbidity survey replication.
Arch Gen Psychiatry62
:617
627,2005[Abstract/Free Full Text]
- Crowe AV, Howse M, Bell GM, Henry JA: Substance abuse and the kidney.
QJM93
:147
152,2000[Abstract/Free Full Text]
- Jaffe JE, Kimmel PL: Chronic nephropathies of cocaine and heroin abuse: A critical review.
Clin J Am Soc Nephrol1
:655
667,2006[CrossRef]
- Levy NB: Psychiatric considerations in the primary medical care of the patient with renal failure.
Adv Ren Replace Ther7
:231
238,2000[CrossRef][Medline]
- Stenvinkel P, Ketteler M, Johnson R, Lindholm B, Pecoits-Filho R, Riella M, Cederholm T, Girndt M: IL-10, IL-6, & TNF-alpha: Central factors in the altered cytokine network of uremia-the good, bad, and the ugly.
Kidney Int67
:1216
1233,2005[CrossRef][Medline]
- Kimmel PL, Phillips TM, Simmens SJ, Peterson RA, Weihs KL, Alleyne S, Cruz I, Yanovski JA, Veis JH: Immunologic function and survival in hemodialysis patients.
Kidney Int54
:236
244,1998[CrossRef][Medline]
- Baines LS, Jindal RM:
The Struggle for Life: A Psychological Perspective of Kidney Disease and Transplantation (Praeger Series in Health Psychology), Praeger Publishers, London,2003
- Powe NR, Melamed ML: Racial disparities in the optimal delivery of chronic kidney disease care.
Med Clin North Am89
:475
488,2005[CrossRef][Medline]
- US Renal Data System:
USRDS 2006 Annual Data Report: Atlas of End-Stage Renal Disease in the United States, Bethesda, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases,2006
- Cukor D, Friedman S: Towards the psychosocial treatment of depressed patients on dialysis.
Internet Journal of Nephrology2
,2005
. Available at: http://www.ispub.com/ostia/index.php?xmlFilePath=journals/ijne/vol2n2/psycho.xml. Accessed March 26, 2007
- Cukor D: The hemodialysis center: A model for psychosocial intervention.
Psychiatr Serv2007
, in press
- Sharp J, Wild MR, Gumley AI, Deighan CJ: A cognitive behavioral group approach to enhance adherence to hemodialysis fluid restrictions: A randomized controlled trial.
Am J Kidney Dis45
:1046
1057,2005[CrossRef][Medline]
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