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Psychiatry Investig > Volume 23(5); 2026 > Article
Kang and Park: Bipolar Disorder Versus Unipolar Depressive Disorder in Female Psycho-Oncology Outpatients With Breast Cancer

Abstract

Objective

A substantial number of patients with breast cancer experience psychological challenges, but little is known about the prevalence and characteristics of bipolar disorder (BD) among those with mood disorders. This study aimed to investigate the prevalence of BD among psycho-oncology outpatients with breast cancer comorbid with a mood disorder and compare the sociodemographic, clinical, and psychological factors between BD and unipolar depressive disorder (UDD) groups.

Methods

Data from 83 female outpatients with breast cancer visiting a psycho-oncology clinic who were diagnosed with mood disorder based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition were analyzed.

Results

The results revealed that 32.5% of the patients were diagnosed with BD, with bipolar II disorder being the most prevalent subtype (81.5%). Patients with BD were more likely to be younger, employed, and have a history of suicide attempts compared to those with UDD. No significant differences were observed in psychiatric symptoms or quality of life between the two groups.

Conclusion

Although thorough psychiatric attention should be provided irrespective of the specific mood disorder diagnosis, these findings highlighted the considerable prevalence of BD among psycho-oncology outpatients with both breast cancer and mood disorder, emphasizing the importance of identifying and addressing this condition within this specific population.

INTRODUCTION

In 2020, cancer claimed the lives of approximately 10 million individuals globally, solidifying its position as the leading cause of death [1]. The prevalence of breast cancer, the most commonly occurring malignancy, is on the rise [2]. With the 5-year survival rate for breast cancer reaching as high as 90% [3], extensive research is currently underway to investigate the psychological aspects of the disease. A study revealed that among patients who underwent surgery for breast cancer, the prevalence of psychological problems was between 30% and 47% [4].
There are different types of mood disorders depending on the extent and intensity of mood elevation [5], such as unipolar depressive disorder (UDD) and other specified bipolar and related disorders, bipolar I disorder, and bipolar II disorder. While only depressive episodes occur among individuals with UDD, those with bipolar disorder (BD) experience a hypomanic or manic episode characterized by mood elevation. BD impacts over 1% of the global population, regardless of the nationality, ethnic background, or socioeconomic status [6]. Since it is mainly diagnosed in early adulthood, it directly affects the economically productive population, resulting in significant financial burdens for the society [6]. Besides, it has the lifelong nature of recurrence and chronicity. Therefore, timely detection of the condition is of importance, and yet, misdiagnosis of BD as UDD often occurs because of the difficulty in differentiating between the two disorders [5], which entails a diagnostic delay. Given that many psycho-oncology patients experience mood disorders [7], it is crucial to understand the current status of BD diagnosis among this population.
However, there is a paucity of studies addressing the prevalence of BD in patients with breast cancer diagnosed with a mood disorder and their characteristics. Thus far, only two studies presenting the prevalence of BD and UDD in patients with breast cancer have been published. In a study utilizing the database of the Taiwan National Health Insurance program, 69 and 1,168 patients, for the first time, received a diagnosis of BD and UDD, respectively, after being newly diagnosed with breast cancer between 2000 and 2005 [8]. The prevalence of BD among mood disorder in this study was 5.58%. In another registry study conducted among patients diagnosed with breast cancer in South East England between 2000 and 2009, 131 and 955 patients were diagnosed with BD and UDD, respectively, based on the admission records of the English National Health Service hospitals during the period spanning 3 years before the cancer diagnosis and 1 year after it [9]. In this study, the prevalence of BD in mood disorders was 12.06%. However, to date, no study has used interview-based assessments to make a diagnosis of mood disorders by strictly applying the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) [10] criteria and presented distinguishing characteristics in comparison with UDD.
The purpose of the current study was to examine the prevalence of BD among patients with mood disorders comorbid with breast cancer who visited a psycho-oncology outpatient clinic and to compare the sociodemographic, clinical, and psychological factors between those with BD and UDD.

METHODS

Study participants

This study was a subgroup analysis of data examining risk and protective factors for suicidal ideation in patients with breast cancer (Park CHK, You J, Kim H, Kim Y, Grit as a protective predictor of suicidality among patients with breast cancer over six months. unpublished results, in preparation). The participants were recruited from a psycho-oncology clinic in Asan Medical Center, a tertiary medical facility in Seoul, Republic of Korea. Patients aged ≥18 years with cancer and psychiatric symptoms were either referred to or independently visited the clinic, where board-certified psychiatrists evaluated them. Eligibility criteria were: 1) female sex, 2) breast cancer diagnosis, and 3) age 18-80 years. The exclusion criteria were as follows: 1) having evidence of intellectual disability, 2) having organic brain damage, and 3) being unable to read and comprehend the Korean language. Recruitment was performed between May 2019 and March 2021. After written informed consent, baseline sociodemographic (age, marital status, living status, education, and employment) and clinical data (cancer treatment, psychiatric admission, suicide attempt, family psychiatric history) were collected. Participants completed systematic assessments using both clinician-rated and self-report instruments. Psychiatrists overseeing care conducted the interviews. The study protocol received approval from the Institutional Review Board of the Asan Medical Center (2019-0626).

Measurements

Psychiatric diagnosis

Psychiatric diagnoses were made by the authors (psychiatrists CHKP, YK) according to DSM-5. All diagnoses falling under the category of “bipolar and related disorders” and “depressive disorders” in DSM-5 were grouped as BD and UDD, respectively.

Patient Health Questionnaire-9

The Patient Health Questionnaire-9 is a self-report questionnaire consisting of nine items that measures the intensity of depressive symptoms experienced by an individual [11]. Participants rated each item on a 4-point scale ranging from 0 (“not at all”) to 3 (“nearly every day”), reflecting the frequency of depressive symptoms over the past 2 weeks. A higher score indicates a greater severity of depressive symptoms, with the total score ranging from 0 to 27. In this study, Cronbach’s α was 0.876 for BD and 0.904 for UDD, indicating excellent consistency.

Generalized Anxiety Disorder-7 scale

The Generalized Anxiety Disorder-7 scale is a self-report measure consisting of seven items designed to assess the severity of anxiety symptoms experienced by individuals [12]. Participants rated each item on a 4-point scale ranging from 0 (“not at all”) to 3 (“nearly every day”), indicating the frequency of anxiety symptoms over the past 2 weeks. A higher score indicates a greater level of anxiety symptom severity, with the total score ranging from 0 to 21. In this study, Cronbach’s α was 0.945 for BD and 0.920 for UDD, indicating excellent internal consistency.

Insomnia Severity Index

The Insomnia Severity Index is a self-report questionnaire consisting of seven items that evaluate the intensity of insomnia [13]. Participants rated each item on a scale of 0 (“none”) to 4 (“very severe”), indicating the severity of their current insomnia issues. A higher score reflects a higher level of insomnia symptom severity. In this study, ISI internal consistency was excellent, with Cronbach’s α of 0.908 for BD and 0.915 for UDD.

Columbia-Suicide Severity Rating Scale

The Columbia-Suicide Severity Rating Scale (C-SSRS) is a structured instrument administered by raters to assess suicidal ideation, consisting of severity and intensity subscales [14]. The severity subscale, C-SSRS severity, consists of 5 questions that measure the severity of suicidal ideation during the past month, with a higher question number indicating greater severity: question 1 (“wish to be dead”), question 2 (“nonspecific active suicidal thoughts”), question 3 (“active suicidal ideation with any methods [not a plan] without intent to act”), question 4 (“active suicidal ideation with some intent to act, without a specific plan”), and question 5 (“active suicidal ideation with a specific plan and intent”). The severity subscale score is determined by the highest question number endorsed by the patient among those answered “yes.” The intensity subscale, C-SSRS Intensity, comprises 5 items assessing suicidal ideation experienced in the past month, which include “frequency,” “duration,” “controllability,” “deterrents,” and “reasons for ideation.” The initial 2 items are assessed using a 5-point scale ranging from 1 to 5, whereas the remaining items employed a 6-point scale ranging from 0 to 5. The intensity subscale score ranges from 0 to 25, with higher scores indicating greater suicidal ideation; a score of 0 is assigned when the severity subscale score is absent.

Clinical Global Impressions-Severity

The Clinical Global Impressions-Severity (CGI-S) is a single-item clinician-rated measure of overall illness severity [15]. It is rated on a scale ranging from 1 to 7, with “normal” representing the lowest level and “among the most extremely ill” representing the highest level. A higher score on the CGI-S indicates a greater severity of illness.

Functional Assessment of Cancer Therapy-General

The Functional Assessment of Cancer Therapy-General is a self-report questionnaire comprising 27 items to assess various dimensions of health-related quality of life over the previous week [16]. The questionnaire consists of four subscales, namely “physical well-being (PWB),” “social/family well-being (SWB),” “emotional well-being (EWB),” and “functional well-being (FWB).” Each subscale has a score range of 0 to 28, 28, 24, and 28, respectively. A higher subscore indicates a higher level of health-related quality of life. In this study, Cronbach’s α values indicated good internal consistency: PWB (0.772 BD, 0.808 UDD), SWB (0.802 BD, 0.826 UDD), EWB (0.749 BD, 0.815 UDD), and FWB (0.733 BD, 0.848 UDD).

Statistical analysis

In this cross-sectional analysis, we compared sociodemographic, clinical, and psychologic factors between the UDD and BD diagnostic groups. Two-tailed p-values were obtained using the Student’s t-test for continuous variables and Pearson’s χ2 test or Fisher’s exact test for categorical variables. Subsequently, we used the same statistical methods to compare the levels of psychiatric symptoms and well-being between the two groups. Patients with missing values were excluded from analysis of the affected variable. All statistical analyses were performed using SPSS for Windows version 21.0 for PC (IBM Corp.). A significance level of p<0.050 was considered statistically significant.

RESULTS

Among psycho-oncology outpatients with breast cancer, 56 (67.5%) were diagnosed with UDD, and 27 (32.5%) with BD. Most patients with UDD met the criteria for major depressive disorder (MDD) (89.3%) and most with BD had bipolar II disorder (81.5%) (Table 1). For the sociodemographic factors, the mean age of the patients with UDD and BD was 51.59±9.94 years and 44.89±10.17 years, respectively; the patients with BD were more likely to be younger (t=2.856, p=0.005) than those with UDD (Table 2). Besides, the patients with BD were more likely to be employed than those with UDD (odds ratio [OR]=2.793 [the reciprocal of 0.358], χ2=4.623, p=0.032). In the clinical factors, a significant difference was observed only in the history of suicide attempt, with a higher percentage of patients with BD (51.9%) reporting a previous suicide attempt than that of those with UDD (23.6%) (OR=3.479, χ2=6.528, p=0.011). Apart from the mentioned differences in diagnostic categories, no statistical differences were observed between the two groups. Psychological factors did not differ significantly between the two groups (Table 3).

DISCUSSION

In this study, approximately one-third of psycho-oncology outpatients with breast cancer and a comorbid mood disorder were diagnosed with BD, with bipolar II disorder being the most common subtype. Individuals with BD were more likely to be younger, employed, and have a history of suicide attempts than those with UDD. These findings highlight the considerable prevalence of BD among individuals with both breast cancer and mood disorder, underscoring the importance of recognizing this condition within this population.
Previous studies reported lower BD prevalence in breast cancer patients with mood disorders—5.58% and 12.06% based on national databases and medical records—than in our study (32.5%) [8,9]. However, our finding aligns with reports from psychiatric outpatient settings, where bipolar II disorder accounts for 30%-61% of outpatients experiencing a major depressive episode [17-19], depending on the setting. In a Hong Kong study [20], 35.9% of the patients, none of whom had bipolar I disorder, received a diagnosis of bipolar II disorder with the duration criterion of a hypomanic episode being lowered to 2 days or longer. This subgroup closely resembled our BD diagnostic group, where bipolar I disorder occurred only in one patient, and the prevalence was similar to that of our sample (32.5%). In contrast, when the DSM-IV criteria for a hypomanic episode (defined as lasting ≥4 days) were applied, the prevalence of bipolar II disorder decreased to 20.5%; similarly, in our study, when subthreshold BD—other specified bipolar and related disorders—was excluded, only 27.7% of our sample met the diagnosis criteria for BD (all, but one, with bipolar II disorder). These findings suggest that BD in psycho-oncology outpatients with breast cancer is significantly underdiagnosed, and its actual prevalence may be similar to that in general psychiatric outpatients. On the other hand, the high prevalence of BD may reflect referral bias, as bipolar depressed patients with more severe or treatment-resistant depressive symptoms, or simply those with a known history of BD, are more likely to be referred to the psycho-oncology clinic. The unexpectedly high prevalence of BD underscores the importance of efforts to identify BD in this population. The assumption that patients experience depression solely because of their cancer diagnosis and treatment, leading to a presumed reactive UDD, must be avoided. Instead, thorough evaluation of the diagnostic criteria for hypomanic or manic episodes is crucial when evaluating patients who present with mood symptoms, even during active cancer treatment.
The difficulty of correctly diagnosing BD is well known. Within the first year of seeking treatment, only 20% of patients with BD currently in a depressive episode receive a timely diagnosis for their condition [21]. A study reported a delay of over 10 years before patients with bipolar II disorder or BD, not otherwise specified, received an accurate diagnosis [22]. Misdiagnosis of BD as MDD is common. In a study involving interviews and chart reviews, 40% of the patients identified with BD had once been diagnosed with MDD [23]. Additionally, in a survey conducted among patients with BD, unipolar depression (e.g., MDD) was the most prevalent incorrect diagnosis, accounting for 60% of the cases [21]. Several explanations for such common misdiagnosis exist. First, the criteria for a major depressive episode is identical for both BD and UDD [5]. Second, patients diagnosed with bipolar II disorder show a greater tendency to seek treatment for depressive symptoms rather than for hypomanic or manic symptoms [5]. Third, in a predominantly depressive course, patients with bipolar II disorder spend most of their time experiencing pure depression [24].
Correct diagnosis of BD is critical to prevent serious consequences of inadequate treatment, such as manic switch, accelerated cycling, and suicide. Antidepressants, originally developed to treat MDD, have the potential to induce a manic episode when used for patients with BD [25], which can pose considerable risks to both the patient and those around them. According to a meta-analysis, the overall incidence rate of manic switch is 12.5% [25]. Agents blocking reuptake of noradrenaline, such as tricyclic antidepressants [26] and venlafaxine [27,28], are known to pose a higher risk of treatment-emergent mania than that of selective serotonin reuptake inhibitors. This is particularly problematic considering they are frequently used for the management of cancer-related neuropathic pain [29]. Detecting BD can prevent inappropriate use of certain antidepressant classes. Furthermore, antidepressants have been associated with accelerated cycling. Among the patients who had been misdiagnosed with UDD and prescribed antidepressants, 23% exhibited a new or aggravated rapid-cycling pattern that could be attributed to antidepressant usage [23]. A study on individuals with rapid-cycling mood disorder demonstrated that more than 70% of them were receiving antidepressants at the onset of rapid-cycling episodes, and the persistence of rapid cycling was associated with the use of antidepressants in approximately half of them [30]. Rapid cycling is common among female patients with bipolar II disorder [31], and most BD participants in our sample fit this description. Epidemiological studies report that over 20% of individuals with BD attempt suicide [32]. Among the participants in the Epidemiologic Catchment Area database, the lifetime rates of suicide attempt were almost twice greater in individuals with BD (29.2%) than in those with UDD (15.9%) [33]. A higher risk of suicidal behavior occurs in patients with bipolar II disorder, the most prevalent BD subtype in the current study, than in those with bipolar I disorder or UDD [34]. The misdiagnosis of BD as UDD could lead to a lack of the use of mood stabilizers, and the absence of adequate therapy involving mood stabilizers may result in suboptimal alleviation of symptoms and increased risk of suicide [35-37].
In our study, the mean age of patients with BD was lower than that of those with UDD. Although onset age data were unavailable for our participants, we cautiously speculate that the younger age in BD may reflect the earlier onset of BD (approximately 25 years) compared with UDD [38,39]. Patients with BD were more likely to be employed than those with UDD, possibly reflecting age differences. Moreover, the fact that most patients with BD were employed has an important implication from an economic perspective. Regardless of comorbid breast cancer, BD itself imposes a significant economic burden, including indirect costs (productivity losses and unemployment) and direct costs (psychiatric services, hospitalization, psychotropic medications) [40]. A previous research revealed that patients with bipolar II disorder were incapable of performing their work duties in 20% of the assessed months over 15 years [41]. Therefore, accurate diagnosis and optimal treatment of BD are of great importance.
Patients with BD in the current study were over three times more likely to have a history of suicide attempt compared with those with UDD. This finding aligns with previous research showing that bipolar II disorder carries a higher risk of suicidal behavior than UDD [34]. A history of suicide attempt is a well-established risk factor of suicide [42], and approximately 25%-50% of the patients diagnosed with BD make at least one suicide attempt in their lifetime [43]. Moreover, the maximum lethality of suicide attempts is more likely to be higher for those with BD than for those with MDD [44], with patients with BD reporting greater levels of aggression and impulsivity [44], which are endophenotypes associated with suicide [45]. Therefore, accurate diagnoses of BD are crucial to ensure optimal treatment, as individuals with BD have a higher incidence of suicide attempts than those with UDD. In an epidemiological study, the prevalence of lifetime suicide attempts was reported to be higher in individuals with BD than among those with MDD [33]. Similarly, an 18-month prospective study demonstrated a greater cumulative occurrence of suicide attempts in patients with BD than among those with MDD [46]. Besides, for patients diagnosed with BD, suicide attempts are most commonly observed during a major depressive episode [47,48] or during mixed conditions [47,48]. When BD is misdiagnosed with UDD and suboptimally treated with antidepressants without mood stabilizers or antipsychotics, some patients with BD can develop mixed conditions [49] characterized by agitation, excitation, or mental arousal-anxiety, which has been associated with an increased risk of suicidal behavior [49]. Compared to patients with BD and MDD in a fully remitted state, those with BD in a mixed state have a 65 times higher incidence rate for suicide attempts [46].
No significant differences in the intensity of psychological factors—depression, anxiety, insomnia, suicidal ideation, and functional well-being—were observed between the two diagnostic groups, indicating that thorough psychiatric attention should be provided irrespective of the specific mood disorder diagnosis.
This study has several limitations. First, the sample size was small. Second, the absence of a structured interview for psychiatric diagnosis due to limited human resources, along with the omission of case discussions raises, concerns about the accuracy of the diagnoses. However, all psychiatric diagnoses were made by board-certified psychiatrists specialized in mood disorders or consultation-liaison psychiatry, strictly adhering to the DSM-5 criteria of mood disorder. Moreover, although physical illness-related symptoms in medically ill populations may resemble depressive symptoms and potentially inflate the prevalence of current major depressive episodes, it is unlikely that the absence of a structured interview substantially affected the identification of past hypomanic or manic episodes. Third, as the level of psychological challenges may differ based on the stage of the disease and treatment status among individuals with breast cancer, it is not possible to generalize the current findings as a universal feature of patients with breast cancer who have either UDD or BD. Instead, these findings should be considered as characteristics specific to patients with these illnesses who sought treatment at a psycho-oncology clinic within a tertiary cancer center. Fourth, all participants in the study were ethnic Koreans, and therefore, caution should be exercised when generalizing the findings to other ethnic groups. Fifth, detailed oncological information was not collected, including cancer stage, metastatic status, recurrence history, hormonal receptor subtype, and treatment phase, all of which may influence psychological burden, treatment response, and functional functioning. Sixth, detailed data on psychotropic medication use were not collected, which is an important limitation because such medications may influence depressive severity, sleep patterns, anxiety symptoms, and suicidality; in addition, some cases classified as BD may have included BD diagnosed following antidepressant-induced hypomania or mania, and this possibility cannot be ruled out. Despite these limitations, this study had notable strengths. First, this was the first study to explore the differences in prevalence and characteristics of BD and UDD in a psycho-oncology breast cancer population. Second, comprehensive measurements were utilized to address the multifaceted aspects of psychological issues related to mood disorders.
In conclusion, this study revealed that, among psycho-oncology outpatients with breast cancer and a concurrent mood disorder, approximately one-third were diagnosed with BD, with type II being the predominant subtype. Patients with BD had a higher likelihood of being younger, employed, and having a history of suicide attempts than that of those with UDD. These novel findings underscore the significant occurrence of BD and the importance of making efforts to recognize and address the condition within this population. Considering the exploratory nature of the sample, replication in larger, structured, multi-center studies is warranted to validate and expand upon these findings.

Notes

Availability of Data and Material

The datasets generated or analyzed during the study are available from the corresponding author on reasonable request.

Conflicts of Interest

C. Hyung Keun Park, a contributing editor of the Psychiatry Investigation, was not involved in the editorial evaluation or decision to publish this article. The remaining author has declared no conflicts of interest.

Author Contributions

Conceptualization: Kyeong A Kang, C. Hyung Keun Park. Data curation: C. Hyung Keun Park. Formal analysis: C. Hyung Keun Park. Investigation: C. Hyung Keun Park. Methodology: Kyeong A Kang, C. Hyung Keun Park. Supervision: C. Hyung Keun Park. Writing—original draft: Kyeong A Kang, C. Hyung Keun Park. Writing—review & editing: Kyeong A Kang, C. Hyung Keun Park.

Funding Statement

None

Acknowledgments

None

Table 1.
Prevalence of mood disorders within each diagnostic group
Diagnosis N (%)
Unipolar depressive disorder 56 (67.5)
 Major depressive disorder 50 (89.3)
 Other specified depressive disorder 5 (8.9)
 Persistent depressive disorder 1 (1.8)
Bipolar disorder 27 (32.5)
 Bipolar I disorder 1 (3.7)
 Bipolar II disorder 22 (81.5)
 Other specified bipolar and related disorder 4 (14.8)
Table 2.
Differences in sociodemographic and clinical characteristics according to the diagnostic groups*
Variables UDD (N=56) BD (N=27) t/χ2 p OR Effect size
Sociodemographic
 Age (yr) 51.59±9.94 44.89±10.17 2.856 0.005 - d=0.669
 Marital status 2.803 0.246 - -
  Currently married or cohabitating 42 (75.0) 17 (63.0)
  Never married 8 (14.3) 8 (29.6)
  Separated, divorced, or widowed 6 (10.7) 2 (7.4)
 Living status 0.214 0.643 1.335 -
  With family or without family 47 (85.5) 22 (81.5)
  Alone 8 (14.5) 5 (18.5)
 Education 0.004 0.953 1.029 -
  College or higher 35 (63.6) 17 (63.0)
  High school or lower 20 (36.4) 10 (37.0)
 Employment 4.623 0.032 0.358 φ=0.236
  Employed 17 (30.9) 15 (55.6)
  Unemployed 38 (69.1) 12 (44.4)
Clinical
 Time passed since breast cancer was diagnosed (mon) 53.88±59.28 31.74±42.32 1.736 0.086 - -
 Surgery 1.029 0.310 1.722 -
  No 45 (80.4) 19 (70.4)
  Yes 11 (19.6) 8 (29.6)
 Chemotherapy 5.552 0.018 3.529 φ=0.259
  No 48 (85.7) 17 (63.0)
  Yes 8 (14.3) 10 (37.0)
 Radiotherapy - >0.999 1.038 -
  No 54 (96.4) 26 (96.3)
  Yes 2 (3.6) 1 (3.7)
 Other therapy 2.419 0.120 0.479 -
  No 23 (41.1) 16 (59.3)
  Yes 33 (58.9) 11 (40.7)
 Any therapy - 0.532 1.956 -
  No 11 (19.6) 3 (11.1)
  Yes 45 (80.4) 24 (88.9)
 History of psychiatric admission 1.955 0.162 2.957 -
  No 51 (94.4) 23 (85.2)
  Yes 3 (5.6) 4 (14.8)
 History of suicide attempt 6.528 0.011 3.479 φ=0.280
  No 42 (76.4) 13 (48.1)
  Yes 13 (23.6) 14 (51.9)
 Familial history of psychiatric disorder - 0.106 2.917 -
  No 50 (89.3) 20 (74.1)
  Yes 6 (10.7) 7 (25.9)

Values are presented as mean±standard deviation or N (%). - indicates that the OR is not applicable or that the effect size is not available for results with p<0.05.

* numbers may not agree because of missing values (UDD/BD=55/27 for living status, education, employment, and history of suicide attempt, 54/27 for history of psychiatric admission);

ORs were calculated with BD as the reference group. Values <1 indicate lower likelihood compared with BD. UDD, unipolar depressive disorder; BD, bipolar disorder; OR, odds ratio.

Table 3.
Differences in psychological characteristics according to the diagnostic groups*
Variables UDD (N=56) BD (N=27) t p
Psychiatric symptoms
 PHQ-9 11.05±6.74 12.19±6.28 -0.727 0.469
 GAD-7 8.21±5.44 9.48±5.38 -0.998 0.321
 ISI 13.80±6.40 15.27±7.50 -0.912 0.365
 C-SSRS severity 1.11±1.33 1.48±1.58 -1.129 0.262
 C-SSRS intensity 7.05±6.78 7.89±7.18 -0.516 0.607
 CGI-S 4.00±1.14 4.52±0.73 -1.387 0.169
Function
 FACT-G PWB 16.58±5.81 15.25±6.12 0.957 0.342
 FACT-G SWB 13.50±5.75 11.32±6.56 1.538 0.128
 FACT-G EWB 11.62±5.58 12.09±4.86 -0.374 0.709
 FACT-G FWB 11.29±5.38 11.41±5.00 -0.093 0.926

Values are presented as mean±standard deviation.

* numbers may not agree because of missing values (56/26 for PHQ-9, 55/26 for ISI, and 55/27 for FACT-G).

UDD, unipolar depressive disorder; BD, bipolar disorder; PHQ-9, Patient Health Questionnaire-9; GAD-7, Generalized Anxiety Disorder-7; ISI, Insomnia Severity Index; C-SSRS, Columbia-Suicide Severity Rating Scale; CGI-S, Clinical Global Impressions-Severity; FACT-G, Functional Assessment of Cancer Therapy-General; PWB, physical well-being; SWB, social/family well-being; EWB, emotional well-being; FWB, functional well-being.

REFERENCES

1. World Health Organization. Cancer [Internet] Available at: https://www.who.int/health-topics/cancer#tab=tab_1. Accessed April 15, 2024.

2. World Health Organization. The global breast cancer initiative [Internet] Available at: https://www.who.int/initiatives/global-breast-cancer-initiative. Accessed April 15, 2024.

3. American Cancer Society. Survival Rates for Breast Cancer [Internet] Available at: https://www.cancer.org/cancer/types/breast-cancer/understanding-a-breast-cancer-diagnosis/breast-cancer-survival-rates.html. Accessed April 4, 2026.

4. Moyer A. Psychosocial outcomes of breast-conserving surgery versus mastectomy: a meta-analytic review. Health Psychol 1997;16:284-298.
crossref pmid
5. Phillips ML, Kupfer DJ. Bipolar disorder diagnosis: challenges and future directions. Lancet 2013;381:1663-1671.
crossref pmid pmc
6. Grande I, Berk M, Birmaher B, Vieta E. Bipolar disorder. Lancet 2016;387:1561-1572.
crossref pmid
7. Park CHK, Kim H, Kim Y, Joo YH. Characteristics of patients presenting to a psycho-oncology outpatient clinic. Psychiatry Investig 2021;18:743-754.
crossref pmid pmc pdf
8. Hung YP, Liu CJ, Tsai CF, Hung MH, Tzeng CH, Liu CY, et al. Incidence and risk of mood disorders in patients with breast cancers in Taiwan: a nationwide population-based study. Psychooncology 2013;22:2227-2234.
crossref pmid pdf
9. Kanani R, Davies EA, Hanchett N, Jack RH. The association of mood disorders with breast cancer survival: an investigation of linked cancer registration and hospital admission data for South East England. Psychooncology 2016;25:19-27.
crossref pmid pdf
10. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. Arlington: American Psychiatric Publishing; 2013.

11. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 2001;16:606-613.
crossref pmid pmc
12. Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med 2006;166:1092-1097.
crossref pmid
13. Morin CM, Belleville G, Bélanger L, Ivers H. The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep 2011;34:601-608.
crossref pmid pmc
14. Posner K, Brown GK, Stanley B, Brent DA, Yershova KV, Oquendo MA, et al. The Columbia-Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults. Am J Psychiatry 2011;168:1266-1277.
crossref pmid pmc
15. Guy W. ECDEU assessment manual for psychopharmacology. Rockville: US Department of Health, Education, and Welfare, Public Health Service, Alcohol, Drug Abuse, and Mental Health Administration, National Institute of Mental Health, Psychopharmacology Research Branch, Division of Extramural Research Programs; 1976.

16. Cella DF, Tulsky DS, Gray G, Sarafian B, Linn E, Bonomi A, et al. The Functional Assessment of Cancer Therapy scale: development and validation of the general measure. J Clin Oncol 1993;11:570-579.
crossref pmid
17. Rybakowski JK, Suwalska A, Lojko D, Rymaszewska J, Kiejna A. Bipolar mood disorders among Polish psychiatric outpatients treated for major depression. J Affect Disord 2005;84:141-147.
crossref pmid
18. Hantouche EG, Akiskal HS, Lancrenon S, Allilaire JF, Sechter D, Azorin JM, et al. Systematic clinical methodology for validating bipolar-II disorder: data in mid-stream from a French national multi-site study (EPIDEP). J Affect Disord 1998;50:163-173.
crossref pmid
19. Benazzi F, Akiskal HS. Refining the evaluation of bipolar II: beyond the strict SCID-CV guidelines for hypomania. J Affect Disord 2003;73:33-38.
crossref pmid
20. Mak AD. Prevalence and correlates of bipolar II disorder in major depressive patients at a psychiatric outpatient clinic in Hong Kong. J Affect Disord 2009;112:201-205.
crossref pmid
21. Hirschfeld RM, Lewis L, Vornik LA. Perceptions and impact of bipolar disorder: how far have we really come? Results of the national depressive and manic-depressive association 2000 survey of individuals with bipolar disorder. J Clin Psychiatry 2003;64:161-174.
crossref pmid
22. Goodwin FK, Jamison KR. Manic-depressive illness: bipolar disorders and recurrent depression. 2nd ed. New York: Oxford University Press; 2007.

23. Ghaemi SN, Boiman EE, Goodwin FK. Diagnosing bipolar disorder and the effect of antidepressants: a naturalistic study. J Clin Psychiatry 2000;61:804-808.
crossref pmid
24. Judd LL, Schettler PJ, Akiskal HS, Maser J, Coryell W, Solomon D, et al. Long-term symptomatic status of bipolar I vs. bipolar II disorders. Int J Neuropsychopharmacol 2003;6:127-137.
crossref pmid
25. Tondo L, Vázquez G, Baldessarini RJ. Mania associated with antidepressant treatment: comprehensive meta-analytic review. Acta Psychiatr Scand 2010;121:404-414.
crossref pmid
26. Peet M. Induction of mania with selective serotonin re-uptake inhibitors and tricyclic antidepressants. Br J Psychiatry 1994;164:549-550.
crossref pmid
27. Post RM, Altshuler LL, Leverich GS, Frye MA, Nolen WA, Kupka RW, et al. Mood switch in bipolar depression: comparison of adjunctive venlafaxine, bupropion and sertraline. Br J Psychiatry 2006;189:124-131.
crossref pmid
28. Vieta E, Martinez-Arán A, Goikolea JM, Torrent C, Colom F, Benabarre A, et al. A randomized trial comparing paroxetine and venlafaxine in the treatment of bipolar depressed patients taking mood stabilizers. J Clin Psychiatry 2002;63:508-512.
crossref pmid
29. Sansone RA, Sansone LA. Pain, pain, go away: antidepressants and pain management. Psychiatry (Edgmont) 2008;5:16-19.

30. Wehr TA, Sack DA, Rosenthal NE, Cowdry RW. Rapid cycling affective disorder: contributing factors and treatment responses in 51 patients. Am J Psychiatry 1988;145:179-184.
crossref pmid
31. Calabrese JR, Shelton MD, Rapport DJ, Kujawa M, Kimmel SE, Caban S. Current research on rapid cycling bipolar disorder and its treatment. J Affect Disord 2001;67:241-255.
crossref pmid
32. Schaffer A, Isometsä ET, Tondo L, Moreno DH, Sinyor M, Kessing LV, et al. Epidemiology, neurobiology and pharmacological interventions related to suicide deaths and suicide attempts in bipolar disorder: Part I of a report of the International Society for Bipolar Disorders Task Force on Suicide in Bipolar Disorder. Aust N Z J Psychiatry 2015;49:785-802.
crossref pmid pmc pdf
33. Chen YW, Dilsaver SC. Lifetime rates of suicide attempts among subjects with bipolar and unipolar disorders relative to subjects with other Axis I disorders. Biol Psychiatry 1996;39:896-899.
crossref pmid
34. Rihmer Z, Pestality P. Bipolar II disorder and suicidal behavior. Psychiatr Clin North Am 1999;22:667-73.
crossref pmid
35. Gonzalez-Pinto A, Mosquera F, Alonso M, López P, Ramírez F, Vieta E, et al. Suicidal risk in bipolar I disorder patients and adherence to long-term lithium treatment. Bipolar Disord 2006;8:618-624.
crossref pmid
36. Miller JN, Black DW. Bipolar disorder and suicide: a review. Curr Psychiatry Rep 2020;22:6
crossref pmid pdf
37. Song J, Sjölander A, Joas E, Bergen SE, Runeson B, Larsson H, et al. Suicidal behavior during lithium and valproate treatment: a within-individual 8-year prospective study of 50,000 patients with bipolar disorder. Am J Psychiatry 2017;174:795-802.
crossref pmid
38. Dagani J, Baldessarini RJ, Signorini G, Nielssen O, de Girolamo G, Large M. The age of onset of bipolar disorders. In: de Girolamo G, McGorry PD, Sartorius N, editor. Age of onset of mental disorders: etiopathogenetic and treatment implications. Cham: Springer, 2019, p. 75-110.

39. Hasin DS, Sarvet AL, Meyers JL, Saha TD, Ruan WJ, Stohl M, et al. Epidemiology of adult DSM-5 major depressive disorder and its specifiers in the United States. JAMA Psychiatry 2018;75:336-346.
crossref pmid pmc
40. Dilsaver SC. An estimate of the minimum economic burden of bipolar I and II disorders in the United States: 2009. J Affect Disord 2011;129:79-83.
crossref pmid
41. Judd LL, Schettler PJ, Solomon DA, Maser JD, Coryell W, Endicott J, et al. Psychosocial disability and work role function compared across the long-term course of bipolar I, bipolar II and unipolar major depressive disorders. J Affect Disord 2008;108:49-58.
crossref pmid
42. Bostwick JM, Pabbati C, Geske JR, McKean AJ. Suicide attempt as a risk factor for completed suicide: even more lethal than we knew. Am J Psychiatry 2016;173:1094-1100.
crossref pmid pmc
43. Jamison KR. Suicide and bipolar disorders. Ann N Y Acad Sci 1986;487:301-315.
pmid
44. Zalsman G, Braun M, Arendt M, Grunebaum MF, Sher L, Burke AK, et al. A comparison of the medical lethality of suicide attempts in bipolar and major depressive disorders. Bipolar Disord 2006;8:558-565.
crossref pmid
45. Kovacsics CE, Gottesman II, Gould TD. Lithium’s antisuicidal efficacy: elucidation of neurobiological targets using endophenotype strategies. Annu Rev Pharmacol Toxicol 2009;49:175-198.
crossref pmid
46. Holma KM, Haukka J, Suominen K, Valtonen HM, Mantere O, Melartin TK, et al. Differences in incidence of suicide attempts between bipolar I and II disorders and major depressive disorder. Bipolar Disord 2014;16:652-661.
crossref pmid
47. Tondo L, Baldessarini RJ, Hennen J, Minnai GP, Salis P, Scamonatti L, et al. Suicide attempts in major affective disorder patients with comorbid substance use disorders. J Clin Psychiatry 1999;60 Suppl 2:63-69.
pmid
48. Balázs J, Benazzi F, Rihmer Z, Rihmer A, Akiskal KK, Akiskal HS. The close link between suicide attempts and mixed (bipolar) depression: implications for suicide prevention. J Affect Disord 2006;91:133-138.
crossref pmid
49. Rihmer Z, Akiskal H. Do antidepressants t(h)reat(en) depressives? Toward a clinically judicious formulation of the antidepressant-suicidality FDA advisory in light of declining national suicide statistics from many countries. J Affect Disord 2006;94:3-13.
crossref pmid


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