Incidence and predictors of suicide attempts in bipolar I and II disorders: A 5-year follow-up study.

OBJECTIVES: Few long-term studies on bipolar disorder (BD) have investigated the incidence and risk factors of suicide attempts (SAs) specifically related to illness phases. We examined the incidence of SAs during different phases of BD in a long-term prospective cohort of bipolar I (BD-I) and bipolar II (BD-II) patients, and risk factors specifically for SAs during major depressive episodes (MDEs). METHODS: In the Jorvi Bipolar Study (JoBS), 191 BD-I and BD-II patients were followed using life-chart methodology. Prospective information on SAs of 177 patients (92.7%) during different illness phases was available up to 5 years. The incidence of SAs and their predictors were investigated using logistic and Poisson regression models. Analyses of risk factors for SAs occurring during MDEs were conducted using two-level random-intercept logistic regression models. RESULTS: During the 5 years of follow-up, 90 SAs per 718 patient-years occurred. The incidence was highest, over 120-fold higher than in euthymia, during mixed states (765/1000 person-years; 95% confidence interval [CI] 461-1269 person-years), and also very high in MDEs, almost 60-fold higher than in euthymia (354/1000 person-years; 95% CI 277-451 person-years). For risk of SAs during MDEs, the duration of MDEs, severity of depression, and cluster C personality disorders were significant predictors. CONCLUSIONS: We confirmed in this long-term study that the highest incidences of SAs occur in mixed and major depressive illness phases. The variations in incidence rates between euthymia and illness phases were remarkably large, suggesting that the question "when" rather than "who" may be more relevant for suicide risk in BD. However, risk during MDEs is likely also influenced by personality factors.

Predictors of long-term work disability among patients with type I and II bipolar disorder: a prospective 18-month follow-up study.

OBJECTIVES: Bipolar disorder (BD) is one of the leading causes of disability worldwide. However, vocational ability and predictors of long-term work disability have rarely been studied among patients with BD. We investigated clinical predictors of work disability among patients with BD in psychiatric care. METHODS: The Jorvi Bipolar Study (JoBS) is a naturalistic prospective cohort study (N = 191) representing adult (18-59 years) psychiatric inpatients and outpatients with DSM-IV bipolar I disorder (BD-I) and bipolar II disorder (BD-II) in three Finnish cities. Within the JoBS, we investigated the prevalence of disability pensions at baseline, and predictors for being granted a disability pension during an 18-month follow-up of the 151 patients in the labor force at baseline. Cox models were used to determine predictors for onset of disability pension. RESULTS: At baseline, 21% (40/191) of the patients already had a disability pension. During the follow-up, a further 38 patients (25% of the 151 followed) were granted a new disability pension. The predictors included older age, male gender, depressive index episode, higher number of psychiatric hospitalizations, generalized anxiety disorder, avoidant personality disorder, and depressive burden during follow-up. However, the predictors differed depending on bipolar subtype, age, and gender. CONCLUSIONS: BD-I and BD-II are associated with a major risk of long-term work disability, the proportion of patients with a disability pension rising to 41% in the medium-term follow-up of the Finnish cohort investigated in the present study. Severe clinical course, depression, comorbidities, age, and gender are likely to be the main predictors but predictors may vary depending on the subgroup.

Five-year outcome of bipolar I and II disorders: findings of the Jorvi Bipolar Study.

OBJECTIVES: The long-term outcome of bipolar disorder (BD) has been extensively investigated. However, previous studies may be biased towards hospitalized patients with bipolar I disorder (BD-I), and generalizability to the current treatment era remains uncertain. In this naturalistic study, we followed a secondary-care cohort of patients with BD. METHODS: In the Jorvi Bipolar Study, 191 patients with BD-I and bipolar II disorder (BD-II) were followed using a life-chart method. Interviews were conducted at six months, 18 months, and five years. Time to full remission, time to first recurrence, total time ill, their predictors, and BD-I versus BD-II differences were investigated among the 151 patients remaining in follow-up. RESULTS: Nearly all subjects recovered from the index episode, but almost all (90%) had a recurrence, and most had multiple recurrences. The patients spent about one-third of their time in illness episodes and 15% of their time with subthreshold symptoms; half of the time they were euthymic. After controlling for confounders, no difference in time spent in depressive states between patients with BD-I and BD-II persisted. Among patients with a depressive index phase, cluster C personality disorders [hazard ratio (HR) = 0.452, p = 0.040] and higher 17-item Hamilton Depression Scale score (HR = 0.951, p = 0.022) predicted longer time to remission, whereas lifetime psychotic symptoms (HR = 2.162, p = 0.016) predicted shorter time to first recurrence. CONCLUSIONS: Among patients with BD, chronicity as uninterrupted persistence of illness was rare, but multiple recurrences were the norm. Patients with BD spent only half of their time euthymic. Patients with BD-I and BD-II may differ little in proneness to depressive states. Severity of depression, cluster C personality disorders, and psychotic symptoms predicted outcome.

Differences in incidence of suicide attempts between bipolar I and II disorders and major depressive disorder.

OBJECTIVES: Whether risk of suicide attempts (SAs) differs between patients with bipolar disorder (BD) and patients with major depressive disorder (MDD) is unclear. We investigated whether cumulative risk differences are due to dissimilarities in time spent in high-risk states, incidence per unit time in high-risk states, or both. METHODS: Incidence rates for SAs during various illness phases, based on prospective life charts, were compared between patients from the Jorvi Bipolar Study (n = 176; 18 months) and the Vantaa Depression Study (n = 249; five years). Risk factors and their interactions with diagnosis were investigated with Cox proportional hazards models. RESULTS: By 18 months, 19.9% of patients with BD versus 9.5% of patients with MDD had attempted suicide. However, patients with BD spent 4.6% of the time in mixed episodes, and more time in major depressive episodes (MDEs) (35% versus 21%, respectively) and in subthreshold depression (39% versus 31%, respectively) than those with MDD. Compared with full remission, the combined incidence rates of SAs were 5-, 25-, and 65-fold in subthreshold depression, MDEs, and BD mixed states, respectively. Between cohorts, incidence of attempts was not different during comparable symptom states. In Cox models, hazard was elevated during MDEs and subthreshold depression, and among patients with preceding SAs, female patients, those with poor social support, and those aged < 40 years, but was unrelated to BD diagnosis. CONCLUSIONS: The observed higher cumulative incidence of SAs among patients with BD than among those with MDD is mostly due to patients with BD spending more time in high-risk illness phases, not to differences in incidence during these phases, or to bipolarity itself. BD mixed phases contribute to differences involving very high incidence, but short duration. Diminishing the time spent in high-risk phases is crucial for prevention.

[Assessment of a self-destructive patient]. / Itsetuhoisen potilaan arviointi.

Previous suicide attempt signifies an almost 40-fold suicidal risk. When assessing the danger of suicide the patient should always be asked directly about possible suicidal thoughts or plans. Since most persons having committed or attempted suicide have a psychiatric illness, the diagnosis and treatment of these illnesses are important means to prevent self-destructive behavior. Besides active and intensive therapy, the mediation of hope in all engagements is essential. The mental status of a person having attempted suicide must be assessed, and appropriate follow-up care should be arranged.

Concomitants of family histories of mood disorders and alcoholism in a clinical cohort of patients with bipolar I and II disorder.

We diagnosed 191 secondary-care outpatients and inpatients with DSM-IV BD I or II. Sociodemographic and clinical characteristics, including axis I and II comorbidity, neuroticism, and prospective life-chart were evaluated at intake and at 6 and 18 months. The family history (FH) of mood disorders, alcoholism, or any major psychiatric disorders among first-degree relatives was investigated in a semistructured interview. Most (74%) patients had some positive FH; 55% of mood disorder, 36% of alcoholism. Positive FH was associated with psychiatric comorbidity and depressive course in the proband. Based on a multinomial logistic regression model, patients with an FH of mood disorder and alcoholism had an odds ratio of 4.8 (p = 0.001) for having an anxiety disorder. Overall, the first-degree relatives of patients with BD have multiple types of mental disorders, which correlate with bipolar patients' course of illness and psychiatric comorbidity. The strongest associations are between FH of mood disorders and presence of comorbid anxiety disorders.

Long-term work disability due to type I and II bipolar disorder: findings of a six-year prospective study.

BACKGROUND: Bipolar disorder (BD) is one of the leading causes of disability worldwide. However, the prevalence and predictors of long-term work disability among patients with type I and II BD have scarcely been studied. We investigated the clinical predictors of long-term work disability among patients with BD. METHODS: The Jorvi Bipolar Study (JoBS) is a naturalistic prospective cohort study (n = 191) of adult psychiatric in- and out-patients with DSM-IV type I and II BD in three Finnish cities. Within JoBS we examined the prevalence and predictors of disability pension being granted during a six-year follow-up of the 152 patients in the labor force at baseline and collected information on granted pensions from national registers. We determined the predictors of disability pension using logistic regression models. RESULTS: Over the 6 years, 44% of the patients belonging to the labor force at baseline were granted a disability pension. Older age; type I BD; comorbidity with generalized anxiety disorder, post-traumatic stress disorder or avoidant personality disorder; and duration of time with depressive or mixed symptoms predicted disability pensions. Including disability pensions granted before baseline increased their total prevalence to 55.5%. The observed predictors were similar. CONCLUSION: This regionally representative long-term prospective study found that about half of patients with type I or II bipolar disorder suffer from persistent work disability that leads to disability pension. In addition to the severity of the clinical course and type I bipolar disorder, the longitudinal accumulation of time depressed, psychiatric comorbidity, and older age predicted pensioning.

High secondary attack rate and persistence of SARS-CoV-2 antibodies in household transmission study participants, Finland 2020-2021.

Background: Household transmission studies offer the opportunity to assess both secondary attack rate (SAR) and persistence of SARS-CoV-2 antibodies over time. Methods: In Spring 2020, we invited confirmed COVID-19 cases and their household members to four visits, where we collected nasopharyngeal and serum samples over 28 days after index case onset. We calculated SAR based on the presence of SARS-CoV-2 neutralizing antibodies (NAb) and assessed the persistence of NAb and IgG antibodies (Ab) against SARS-CoV-2 spike glycoprotein and nucleoprotein. Results: SAR was 45% (39/87), including 35 symptomatic secondary cases. During the initial 28-day follow-up, 62% (80/129) of participants developed NAb. Of those that seroconverted, 90% (63/70), 85% (63/74), and 78% (45/58) still had NAb to early B-lineage SARS-CoV-2 3, 6, and 12 months after the onset of the index case. Anti-spike IgG Ab persisted in 100% (69/69), 97% (72/74), and 93% (55/59) of seroconverted participants after 3, 6, and 12 months, while anti-nucleoprotein IgG Ab levels waned faster, persisting in 99% (68/69), 78% (58/74), and 55% (39/71) of participants, respectively. Conclusion: Following detection of a COVID-19 case in a household, other members had a high risk of becoming infected. NAb to early B-lineage SARS-CoV-2 persisted for at least a year in most cases.

P2RX7 gene is associated consistently with mood disorders and predicts clinical outcome in three clinical cohorts.

We investigated the effect of nine candidate genes on risk for mood disorders, hypothesizing that predisposing gene variants not only elevate the risk for mood disorders but also result in clinically significant differences in the clinical course of mood disorders. We genotyped 178 DSM-IV bipolar I and II and 272 major depressive disorder patients from three independent clinical cohorts carefully diagnosed with semistructured interviews and prospectively followed up with life charts for a median of 60 (range 6-83) months. Healthy control subjects (n = 1322) were obtained from the population-based national Health 2000 Study. We analyzed 62 genotyped variants within the selected genes (BDNF, NTRK2, SLC6A4, TPH2, P2RX7, DAOA, COMT, DISC1, and MAOA) against the presence of mood disorder, and in post-hoc analyses, specifically against bipolar disorder or major depressive disorder. Estimates for time ill were based on life charts. The P2RX7 gene variants rs208294 and rs2230912 significantly elevated the risk for a familial mood disorder (OR = 1.35, P = 0.0013, permuted P = 0.06, and OR = 1.44, P = 0.0031, permuted P = 0.17, respectively). The results were consistent in all three cohorts. The same risk alleles predicted more time ill in all cohorts (OR 1.3, 95% CI 1.1-1.6, P = 0.0069 and OR 1.7, 95% CI 1.3-2.3, P = 0.0002 with rs208294 and rs2230912, respectively), so that homozygous carriers spent 12 and 24% more time ill. P2RX7 and its risk alleles predisposed to mood disorders consistently in three independent clinical cohorts. The same risk alleles resulted in clinically significant differences in outcome of patients with major depressive and bipolar disorder.

[Maintenance therapy in bipolar affective disorder]. / Ylläpitohoito kaksisuuntaisessa mielialahäiriössä.

In bipolar affective disorder, the patients exhibit life-long susceptibility to periodic episodes of depression, mania, hypomania, including mixed phases. Maintenance therapy aims to prevent new episodes of affective disorder and associated self-destructive behavior, to prevent milder symptoms occurring between the actual episodes and to maintain functional capacity. Maintenance therapy is always initiated upon the diagnosis of bipolar affective disorder. In a type II disorder with mild symptoms, gradual termination of maintenance therapy can be considered while monitoring the status of the patient. The drug is chosen on the basis of individual benefit/risk ratio.

A prospective latent analyses study of psychiatric comorbidity of DSM-IV bipolar I and II disorders.

OBJECTIVE: To test two hypotheses of psychiatric comorbidity in bipolar disorder (BD): (i) comorbid disorders are independent of BD course, or (ii) comorbid disorders associate with mood. METHODS: In the Jorvi Bipolar Study (JoBS), 191 secondary-care outpatients and inpatients with DSM-IV bipolar I disorder (BD-I) or bipolar II disorder (BD-II) were evaluated with the Structured Clinical Interview for DSM-IV Disorders, with psychotic screen, plus symptom scales, at intake and at 6 and 18 months. Three evaluations of comorbidity were available for 144 subjects (65 BD-I, 79 BD-II; 76.6% of 188 living patients). Structural equation modeling (SEM) was used to examine correlations between mood symptoms and comorbidity. A latent change model (LCM) was used to examine intraindividual changes across time in depressive and anxiety symptoms. Current mood was modeled in terms of current illness phase, Beck Depression Inventory (BDI), Young Mania Rating Scale, and Hamilton Depression Rating Scale; comorbidity in terms of categorical DSM-IV anxiety disorder diagnosis, Beck Anxiety Inventory (BAI) score, and DSM-IV-based scales of substance use and eating disorders. RESULTS: In the SEM, depression and anxiety exhibited strong cross-sectional and autoregressive correlation; high levels of depression were associated with high concurrent anxiety, both persisting over time. Substance use disorders covaried with manic symptoms (r = 0.16-0.20, p < 0.05), and eating disorders with depressive symptoms (r = 0.15-0.32, p < 0.05). In the LCM, longitudinal intraindividual improvements in BDI were associated with similar BAI improvement (r = 0.42, p < 0.001). CONCLUSIONS: Depression and anxiety covary strongly cross-sectionally and longitudinally in BD. Substance use disorders are moderately associated with manic symptoms, and eating disorders with depressive mood.

Predominant polarity in bipolar I and II disorders: A five-year follow-up study.

BACKGROUND: Patients with bipolar disorder (BD) differ in their relative predominance of types of episodes, yielding predominant polarity, which has important treatment implications. However, few prospective studies of predominant polarity exist. METHODS: In the Jorvi Bipolar Study (JoBS), a regionally representative cohort of 191 BD I and BD II in- and outpatients was followed for five years using life-chart methodology. Differences between depressive (DP), manic (MP), and no predominant polarity (NP) groups were examined regarding time ill, incidence of suicide attempts, and comorbidity. RESULTS: At baseline, 16% of patients had MP, 36% DP, and 48% NP. During the follow-up the MP group spent significantly more time euthymic, less time in major depressive episodes, and more time in manic states than the DP and NP groups. The MP group had significantly lower incidence of suicide attempts than the DP and NP group, lower prevalence of comorbid anxiety disorders but more psychotic symptoms lifetime and more often (hypo)manic first phase of the illness than the DP group. Classification of predominant polarity was influenced by the timeframe used. LIMITATIONS: The retrospective counting of former phases is vulnerable to recall bias. Assignment of dominant polarity may necessitate a sufficient number of illness phases. CONCLUSIONS: Predominant polarity has predictive value in predicting group differences in course of illness, but individual patients' classification may change over time. Patients with manic polarity may represent a more distinct subgroup than the two others regarding illness course, suicide attempts, and psychiatric comorbidity.

Differences in incidence of suicide attempts during phases of bipolar I and II disorders.

BACKGROUND: Differences in the incidence of suicide attempts during various phases of bipolar disorder (BD), or the relative importance of static versus time-varying risk factors for overall risk for suicide attempts, are unknown. METHODS: We investigated the incidence of suicide attempts in different phases of BD as a part of the Jorvi Bipolar Study (JoBS), a naturalistic, prospective, 18-month study representing psychiatric in- and outpatients with DSM-IV BD in three Finnish cities. Life charts were used to classify time spent in follow-up in the different phases of illness among the 81 BD I and 95 BD II patients. RESULTS: Compared to the other phases of the illness, the incidence of suicide attempts was 37-fold higher [95% confidence interval (CI) for relative risk (RR): 11.8-120.3] during combined mixed and depressive mixed states, and 18-fold higher (95% CI: 6.5-50.8) during major depressive phases. In Cox's proportional hazards regression models, combined mixed (mixed or depressive mixed) or major depressive phases and prior suicide attempts independently predicted suicide attempts. No other factor significantly modified the risks related to these time-varying risk factors; their population-attributable fraction was 86%. CONCLUSIONS: The incidence of suicide attempts varies remarkably between illness phases, with mixed and depressive phases involving the highest risk by time. Time spent in high-risk illness phases is likely the major determinant of overall risk for suicide attempts among BD patients. Studies of suicidal behavior should investigate the role of both static and time-varying risk factors in overall risk; clinically, management of mixed and depressive phases may be crucial in reducing risk.

Differences in outcome of DSM-IV bipolar I and II disorders.

OBJECTIVES: To investigate whether the course of bipolar disorder (BD) type II is more depressive than that of BD I, and, if so, to explore the underlying factors that cause this difference. METHODS: In a prospective, naturalistic study of 191 secondary care psychiatric in- and outpatients diagnosed in an acute phase of BD I or II, 160 patients (85.1%) were followed for 18 months. Using a life chart, the exact timing of symptom states in follow-up was examined. Differences between BD I (n = 75) and II (n = 85) in duration of index phase and episode, time to full remission and recurrence, and time in any mood episode were investigated. RESULTS: Patients with BD II spent a higher proportion of time ill (47.5% versus 37.7%; p = 0.02) and in depressive symptom states (58.0% versus 41.7%; p = 0.003) than BD I patients. This was a result of the higher proportion (61.7% versus 48.6%; p = 0.03) and mean number (1.69 versus 1.11; p = 0.006) of depressive illness phases in BD II, rather than of differences in the duration of depressive phases. Type of index phase strongly predicted the outcome. In linear regression models, both BD II and type of index phase predicted more time spent in depressive symptom states. CONCLUSIONS: In medium-term follow-up, BD II patients spend about 40% more time in depressive symptom states than BD I patients because a higher proportion of BD II patients have depressive phases and the frequency of these is higher. Differences in type of index phase may markedly confound differences in outcome between BD I and II.

Only half of bipolar I and II patients report prodromal symptoms.

BACKGROUND: Learning to detect prodromal symptoms is a key element of psychosocial treatment of bipolar disorder (BD). However, previous studies have described only prodromes of manic and depressive phases of BD I patients, while information on prodromes in BD II, or other phases is lacking. METHODS: The Jorvi Bipolar Study included 191 in- and outpatients with DSM-IV BD (90 BD I, 101 BD II) in any acute phase of illness at baseline. The prevalence, type and duration of preceding prodromes were investigated using open-ended questions. The effects of type I or II disorder, index phase, socio-demographic factors, comorbidity, illness history and other correlates on report and duration of prodromes were investigated. RESULTS: Prodromes were reported by 45.0% of BD I and 50.0% of BD II patients. The first prodromal symptom was usually mood congruent, but sometimes non-specific for mood or a symptom of anxiety; the median duration was 30.5 days. No differences between BD I and II, or between patients who did and those who did not report prodromes were found. Only Axis I comorbidity associated with longer prodromes, but not independently after adjusting for age, gender and type of phase. LIMITATIONS: The study was cross-sectional. Reporting prodromes depends on patients' insight which was likely affected by a sub-acute phase at time of interview. CONCLUSIONS: Only half of ordinary, secondary care bipolar patients are able to report prodromes. The chronic and fluctuating course of illness, and sometimes short time interval to full episode may limit the potentials of prodrome-based interventions.

Suicidal behaviour during different phases of bipolar disorder.

BACKGROUND: There are no previous studies comparing the prevalence and risk factors for suicidal behaviour during different phases of bipolar disorder. METHODS: In the Jorvi Bipolar Study (JoBS), 1630 psychiatric in- and outpatients were screened for bipolar disorders with the Mood Disorder Questionnaire. Using SCID I and II interviews, 191 patients were diagnosed with bipolar disorders (90 bipolar I, 101 bipolar II). Suicidal ideation was measured using the Scale for Suicidal Ideation (SSI). Prevalence and risk factors for ideation and attempts during different phases (depressive, mixed, depressive mixed and hypomanic/manic phases) were investigated. RESULTS: There were marked differences between phases regarding suicide attempts and level of suicidal ideation. Hopelessness predicted suicidal behaviour during the depressive phase, whereas a subjective rating of severity of depression and younger age predicted suicide attempts during mixed phases. LIMITATIONS: The relatively small sample size in some phases. CONCLUSIONS: Suicidal behaviour varied markedly between different phases of BD. Suicide attempts and suicidal ideation were related to phases which are associated with depressive aspects of the illness. Hopelessness and severity of depression were key indicators of risk in all phases.

Differences in Axis I and II comorbidity between bipolar I and II disorders and major depressive disorder.

OBJECTIVE: To obtain a comprehensive view of differences in current comorbidity between bipolar I and II disorders (BD) and (unipolar) major depressive disorder (MDD), and Axis I and II comorbidity in BD in secondary-care psychiatric settings. METHOD: The psychiatric comorbidity of 90 bipolar I and 101 bipolar II patients from the Jorvi Bipolar Study and 269 MDD patients from the Vantaa Depression Study were compared. We used DSM-IV criteria assessed by semistructured interviews. Patients were inpatients and outpatients from secondary-care psychiatric units. Comparable information was collected on clinical history, index episode, symptom status, and patient characteristics. RESULTS: Bipolar disorder and MDD differed in prevalences of current comorbid disorders, MDD patients having significantly more Axis I comorbidity (69.1% vs. 57.1%), specifically anxiety disorders (56.5% vs. 44.5%) and cluster A (19.0% vs. 9.9%) and C (31.6% vs. 23.0%) personality disorders. In contrast, BD had more single cluster B personality disorders (30.9% vs. 24.6%). Bipolar I and bipolar II were similar in current overall comorbidity, but the prevalence of comorbidity was strongly associated with the current illness phase. CONCLUSIONS: Major depressive disorder and BD have somewhat different patterns in the prevalences of comorbid disorders at the time of an illness episode, with differences particularly in the prevalences of anxiety and personality disorders. Current illness phase explains differences in psychiatric comorbidity of BD patients better than type of disorder.

Time patterns of attempted suicide.

BACKGROUND: The association of mental disorders with time patterns of attempted suicide is poorly understood. METHODS: The study material consisted of all consecutive suicide attempts admitted to health care in Helsinki during a one-year period from 15 January 1997 to 14 January 1998. Clinical diagnosis was made according to ICD-10. RESULTS: Overall, the rate of suicide attempts varied markedly during the study period, peaking in autumn and being lowest during winter. Substance use disorders best explained suicide attempts occurring at weekends. There was considerable temporal variation among patients with mood disorders, compared to only slight variation among patients with schizophrenia spectrum disorders. Study subjects tended to contact health services in the late evening and around midnight. Those contacting health services outside normal hours received psychiatric consultation less frequently than others and were referred to aftercare less often. LIMITATIONS: Structured Clinical Interviews for DSM-IV Axis I and II Disorders were not used. CONCLUSIONS: There were marked time patterns of attempted suicide, especially among patients with mood disorders and substance use disorders. This contrasted with the limited fluctuation among patients with schizophrenia spectrum disorders. Contacts with the health care system occurred most often in the late evening and around midnight. The findings question the adequacy of staff numbers for psychiatric consultations and of time to plan aftercare.

Suicidal ideation and attempts in bipolar I and II disorders.

OBJECTIVE: Few studies have investigated the prevalence of and risk factors for suicidal ideation and attempts among representative samples of psychiatric patients with bipolar I and II disorders. METHOD: In the Jorvi Bipolar Study (JoBS), psychiatric inpatients and outpatients were screened for bipolar disorders with the Mood Disorder Questionnaire from January 1, 2002, to February 28, 2003. According to Structured Clinical Interviews for DSM-IV Axis I and II Disorders, 191 patients were diagnosed with bipolar disorders (bipolar I, N = 90; bipolar II, N = 101). Suicidal ideation was measured using the Scale for Suicidal Ideation. Prevalence of and risk factors for ideation and attempts were investigated. RESULTS: During the current episode, 39 (20%) of the patients had attempted suicide and 116 (61%) had suicidal ideation; all attempters also reported ideation. During their lifetime, 80% of patients (N = 152) had had suicidal behavior and 51% (N = 98) had attempted suicide. In nominal regression models, severity of depressive episode and hopelessness were independent risk factors for suicidal ideation, and hopelessness, comorbid personality disorder, and previous suicide attempt were independent risk factors for suicide attempts. There were no differences in prevalence of suicidal behavior between bipolar I and II disorder; the risk factors were overlapping but not identical. CONCLUSION: Over their lifetime, the vast majority (80%) of psychiatric patients with bipolar disorders have either suicidal ideation or ideation plus suicide attempts. Depression and hopelessness, comorbidity, and preceding suicidal behavior are key indicators of risk. The prevalence of suicidal behavior in bipolar I and II disorders is similar, but the risk factors for it may differ somewhat between the two.