Diagnostic conversion from unipolar depression to bipolar disorder, schizophrenia, or schizoaffective disorder: A nationwide prospective 15-year register study on 43 495 inpatients.

OBJECTIVE: To examine temporal patterns and predictors for diagnostic conversion from unipolar depression (UD) to bipolar disorder (BD), schizophrenia, and schizoaffective disorder (SAD). METHODS: A prospective nationwide register-based cohort (n = 43 495) of all first psychiatric hospitalizations due to UD during 1996-2011 was followed up to 15 years. We used cumulative incidence function (CIF) analyses and the Fine-Gray subdistribution model to define the cumulative incidence of the conversions and subdistribution hazard ratios (SHRs) for predictors. RESULTS: The overall 15-year cumulative incidence of conversion was 11.1% (95% CI 10.7-11.6): 7.4% (95% CI 7.0-7.8) for BD, 2.5% (95% CI 2.3-2.7) for schizophrenia, and 1.3% (95% CI 1.1-1.4) for SAD. The highest crude incidence rate emerged during the first year. Psychotic depression predicted higher conversion risk to BD (SHR = 2.0, 95% CI 1.5-2.7), schizophrenia (SHR = 5.3, 95% CI 3.3-8.7), and SAD (SHR = 10.6, 95% CI 4.0-28.4) than mild depression. Female sex, greater overall disturbance, and comorbid personality disorder predicted conversion to BD, whereas young age and male sex to psychotic disorders. CONCLUSIONS: Among patients with first hospitalization due to UD, approximately one in nine converts to another major psychiatric disorder during 15 years, with the highest risk occurring within the first year. Patients with psychotic depression are particularly vulnerable for conversion to other major psychiatric disorders. Conversion to psychotic disorders occurs earlier than to BD. Males are at higher risk for progression to psychotic disorders, whereas females, patients with recurrent depressive episodes, severe disturbance of overall functioning, and personality disorder are at higher risk for converting to BD.

Self-reported treatment adherence among psychiatric in- and outpatients.

BACKGROUND: Poor adherence to psychiatric treatment is a common clinical problem, leading to unfavourable treatment outcome and increased healthcare costs. AIM: The aim of this study was to investigate the self-reported adherence and attitudes to outpatient visits and pharmacotherapy in specialized care psychiatric patients. METHODS: Within the Helsinki University Psychiatric Consortium (HUPC) pilot study, in- and outpatients with schizophrenia or schizoaffective disorder (SSA, n = 113), bipolar disorder (BD, n = 99), or depressive disorder (DD, n = 188) were surveyed about their adherence and attitudes towards outpatient visits and pharmacotherapy. Correlates of self-reported adherence to outpatient and drug treatment were investigated using regression analysis. RESULTS: The majority (78.5%) of patients reported having attended outpatient visits regularly or only partly irregularly. Most patients (79.2%) also reported regular use of pharmacotherapy. Self-reported non-adherence to preceding outpatient visits was consistently and significantly more common among inpatients than outpatients across all diagnostic groups (p < .001). Across all groups, hospital setting was the strongest independent correlate of poor adherence to outpatient visits (SSA ß = -2.418, BD ß = -3.417, DD ß = -2.766; p < .001 in all). Another independent correlate of non-adherence was substance use disorder (SSA ß = -1.555, p = .001; BD ß = -1.535, p = .006; DD ß = -2.258, p < .000). No other socio-demographic or clinical factor was significantly associated with poor adherence in multivariate regression models. CONCLUSIONS: Irrespective of diagnosis, self-reported adherence to outpatient care among patients with schizophrenia or schizoaffective disorder, bipolar disorder, and depression is associated strongly with two factors: hospital setting and substance use disorders. Thus, detection of adherence problems among former inpatients and recognition and treatment of substance misuse are important to ensure proper outpatient care.

International Society for Bipolar Disorders Task Force on Suicide: meta-analyses and meta-regression of correlates of suicide attempts and suicide deaths in bipolar disorder.

OBJECTIVES: Bipolar disorder is associated with a high risk of suicide attempts and suicide death. The main objective of the present study was to identify and quantify the demographic and clinical correlates of attempted and completed suicide in people with bipolar disorder. METHODS: Within the framework of the International Society for Bipolar Disorders Task Force on Suicide, a systematic review of articles published since 1980, characterized by the key terms bipolar disorder and 'suicide attempts' or 'suicide', was conducted, and data extracted for analysis from all eligible articles. Demographic and clinical variables for which ≥ 3 studies with usable data were available were meta-analyzed using fixed or random-effects models for association with suicide attempts and suicide deaths. There was considerable heterogeneity in the methods employed by the included studies. RESULTS: Variables significantly associated with suicide attempts were: female gender, younger age at illness onset, depressive polarity of first illness episode, depressive polarity of current or most recent episode, comorbid anxiety disorder, any comorbid substance use disorder, alcohol use disorder, any illicit substance use, comorbid cluster B/borderline personality disorder, and first-degree family history of suicide. Suicide deaths were significantly associated with male gender and first-degree family history of suicide. CONCLUSIONS: This paper reports on the presence and magnitude of the correlates of suicide attempts and suicide deaths in bipolar disorder. These findings do not address causation, and the heterogeneity of data sources should limit the direct clinical ranking of correlates. Our results nonetheless support the notion of incorporating diagnosis-specific data in the development of models of understanding suicide in bipolar disorder.

A review of factors associated with greater likelihood of suicide attempts and suicide deaths in bipolar disorder: Part II of a report of the International Society for Bipolar Disorders Task Force on Suicide in Bipolar Disorder.

OBJECTIVES: Many factors influence the likelihood of suicide attempts or deaths in persons with bipolar disorder. One key aim of the International Society for Bipolar Disorders Task Force on Suicide was to summarize the available literature on the presence and magnitude of effect of these factors. METHODS: A systematic review of studies published from 1 January 1980 to 30 May 2014 identified using keywords 'bipolar disorder' and 'suicide attempts or suicide'. This specific paper examined all reports on factors putatively associated with suicide attempts or suicide deaths in bipolar disorder samples. Factors were subcategorized into: (1) sociodemographics, (2) clinical characteristics of bipolar disorder, (3) comorbidities, and (4) other clinical variables. RESULTS: We identified 141 studies that examined how 20 specific factors influenced the likelihood of suicide attempts or deaths. While the level of evidence and degree of confluence varied across factors, there was at least one study that found an effect for each of the following factors: sex, age, race, marital status, religious affiliation, age of illness onset, duration of illness, bipolar disorder subtype, polarity of first episode, polarity of current/recent episode, predominant polarity, mood episode characteristics, psychosis, psychiatric comorbidity, personality characteristics, sexual dysfunction, first-degree family history of suicide or mood disorders, past suicide attempts, early life trauma, and psychosocial precipitants. CONCLUSION: There is a wealth of data on factors that influence the likelihood of suicide attempts and suicide deaths in people with bipolar disorder. Given the heterogeneity of study samples and designs, further research is needed to replicate and determine the magnitude of effect of most of these factors. This approach can ultimately lead to enhanced risk stratification for patients with bipolar disorder.

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.

OBJECTIVES: Bipolar disorder is associated with elevated risk of suicide attempts and deaths. Key aims of the International Society for Bipolar Disorders Task Force on Suicide included examining the extant literature on epidemiology, neurobiology and pharmacotherapy related to suicide attempts and deaths in bipolar disorder. METHODS: Systematic review of studies from 1 January 1980 to 30 May 2014 examining suicide attempts or deaths in bipolar disorder, with a specific focus on the incidence and characterization of suicide attempts and deaths, genetic and non-genetic biological studies and pharmacotherapy studies specific to bipolar disorder. We conducted pooled, weighted analyses of suicide rates. RESULTS: The pooled suicide rate in bipolar disorder is 164 per 100,000 person-years (95% confidence interval = [5, 324]). Sex-specific data on suicide rates identified a 1.7:1 ratio in men compared to women. People with bipolar disorder account for 3.4-14% of all suicide deaths, with self-poisoning and hanging being the most common methods. Epidemiological studies report that 23-26% of people with bipolar disorder attempt suicide, with higher rates in clinical samples. There are numerous genetic associations with suicide attempts and deaths in bipolar disorder, but few replication studies. Data on treatment with lithium or anticonvulsants are strongly suggestive for prevention of suicide attempts and deaths, but additional data are required before relative anti-suicide effects can be confirmed. There were limited data on potential anti-suicide effects of treatment with antipsychotics or antidepressants. CONCLUSION: This analysis identified a lower estimated suicide rate in bipolar disorder than what was previously published. Understanding the overall risk of suicide deaths and attempts, and the most common methods, are important building blocks to greater awareness and improved interventions for suicide prevention in bipolar disorder. Replication of genetic findings and stronger prospective data on treatment options are required before more decisive conclusions can be made regarding the neurobiology and specific treatment of suicide risk in bipolar disorder.

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.

Psychological Pain as a Risk Factor for Suicidal Ideation: An Ecological Momentary Assessment Study on Inpatients With Depression With and Without Comorbid Borderline Personality Disorder.

Objective: Psychological pain (PP) is a potentially important risk factor for suicide. However, its temporal stability and association with suicidal ideation (SI) remain obscure. Whether PP represents a risk factor for SI independently of depression, anxiety, and hopelessness or is more prominent and temporally unstable in patients with depression and borderline personality disorder (BPD) is also unclear.Methods: From November 2020 to December 2022, psychiatric inpatients with depression without (N = 37) and with (N = 30) BPD were recruited to an ecological momentary assessment (EMA) study, wherein their PP, severity of depression, SI, and hopelessness were assessed 3 times daily using visual analog scales. Multilevel regression models were estimated.Results: Altogether, 4,320 EMA observations were collected. PP correlated with hopelessness (r = 0.417), depression (r = 0.339), and anxiety (r = 0.496), but the between-patient variance of PP remained at 1.26 (95% CI, 1.025-1.533) after controlling for these variables. The within-patient variance of PP was associated with SI (ß = 0.17 [95% CI, 0.12-0.22]) with a magnitude comparable to hopelessness (ß = 0.1 [95% CI, 0.05-0.15]) and depression (ß = 0.12 [95% CI, 0.08-0.17]). Patients with depression and BPD reported higher daily PP and SI (P < .001) and a more prominent within-patient variation in PP.Conclusions: In psychiatric inpatients with depression, besides depression and hopelessness, PP represents an independent risk factor for SI, varying within a timescale of days. Depressive patients with BPD may experience more prominent and temporally unstable PP, likely underlying their higher vulnerability to SI.

Affect dimensions and variability during major depressive episodes: Ecological momentary assessment of unipolar, bipolar, and borderline patients and healthy controls.

Differentiating major depressive episodes (MDEs) of major depressive disorder (MDD), bipolar disorder (MDE/BD) and the MDEs comorbid with borderline personality disorder (MDE/BPD) is crucial for appropriate treatment, and knowledge of phenomenological differences may aid this. However, studies comparing affect experiences of these three patient groups and healthy subjects are scarce. In our study, participants (N = 114), including patients with MDD (n = 34), MDE/BD (n = 27), and MDE/BPD (n = 24), and healthy controls (HC, n = 29) responded to ecological momentary assessment (EMA) with ten circumplex model affect items ten times daily for seven days (7709 recordings). Explorative factor analysis resulted in two affect dimensions. The positive dimension included active, excited, cheerful (high arousal), and content (low arousal) affects, and the negative dimension irritated, angry, and nervous (high arousal) affects. Relative to HC, patients reported 3.5-fold negative affects (mean MDD 1.36 (SD 0.92), MDE/BD 1.43 (0.76), MDE/BPD 1.81 (0.95) vs. HC 0.44 (0.49) (p < 0.01)) but 0.5-fold positive affects (2.01 (0.90), 1.95 (0.89), 2.24 (1.03), vs. 3.2 (0.95), respectively (p < 0.01)). We used multilevel modelling. Negative-affect within-individual stability was lowest in MDE/BPD and highest in MDD. Negative affect predicted concurrent positive affect more in MDE/BPD than in MDD. Moderate size of subcohorts and no inpatients were limitations. Despite apparently similar MDEs, affective experiences may differ between BPD, BD, and MDD patients. Clinical subgroups of patients with depression may vary in affective instability and concurrent presence of negative and positive affects during depression.

Depression and smoking: a 5-year prospective study of patients with major depressive disorder.

BACKGROUND: Major depressive disorder (MDD) and smoking are major public health problems and epidemiologically strongly associated. However, the relationship between smoking and depression and whether this is influenced by common confounding factors remain unclear, in part due to limited longitudinal data on covariation. METHODS: In the Vantaa Depression Study, psychiatric out- and inpatients with DSM-IV MDD and aged 20-59 years at were followed from baseline to 6 months, 18 months, and 5 years. We investigated course of depression, smoking, and comorbid alcohol-use disorders among the 214 patients (79.6% of 269) participating at least three time points; differences between smoking versus nonsmoking patients, and covariation of MDD, smoking, and alcohol-use disorders. RESULTS: Overall, 31.3% of the patients smoked regularly, 41.1% intermittently, and 27.6% never. Smokers were younger, had more alcohol-use disorders and Cluster B and C personality disorder symptoms, a higher frequency of lifetime suicide attempts, higher neuroticism, smaller social networks, and lower perceived social support than never smokers. Smoking and depression had limited longitudinal covariation. Depression, smoking, and alcohol-use disorders all exhibited strong autoregressive tendencies. CONCLUSIONS: Among adult psychiatric MDD patients, smoking is strongly associated with substance-use and personality disorders, which may confound research on the impact of smoking. Rather than depression or smoking covarying or predicting each other, depression, smoking, and alcohol-use disorders each have strong autoregressive tendencies. These findings are more consistent with common factors causing their association than either of the conditions strongly predisposing to the other.

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.

Suicides in Mood Disorders in Psychiatric Settings in Nordic National Register-Based Studies.

OBJECTIVE: Although risk factors for nonfatal suicidal behavior in mood disorders have been vastly investigated, rate and risk factors of suicide deaths are less well known. Extensive health care and other population registers in the Nordic countries (Denmark, Finland, Iceland, Norway, and Sweden) allow national-level studies of suicide rates and risk factors. This systematic review examined Nordic studies of suicide in mood disorders. METHODS: National Nordic studies published after 1.1.2000 reporting on suicide mortality or relative risk in diagnosed unipolar depression or bipolar disorder treated in psychiatric settings; temporal variations in suicide risk after discharge, or risk factors for suicide were systematically reviewed. RESULTS: Altogether 16 longitudinal studies reported on rate and risk of suicide in depression. They found 2%-8% of psychiatric inpatients with depression to have died by suicide. However, in Finland suicide risk among depressive inpatients halved since the early 1990s. Nine studies investigated suicide risk in bipolar disorder, finding 4-8% of patients having died by suicide in long term. The relative risk of suicide was consistently found extremely high (SMR > 100) during the first weeks postdischarge, declining steeply over time to approximately SMR of five after five years. Male gender, preceding suicide attempts, high severity of depression and substance abuse were found risk factors for suicide in depression, with only minor gender differences in risk factors, but major differences in lethal methods. Three studies investigated risk factors for suicide in bipolar disorder, finding male gender, preceding suicide attempts, and depressive episodes and psychiatric comorbidity to be associated with risk. CONCLUSIONS: Overall, of psychiatric inpatients with depressive of bipolar disorders in the Nordic countries, 2%-8% have died by suicide in the last few decades, but current rates may be lower. Suicide risk is approximately similar or somewhat higher among patients with bipolar disorder, risk factor studies of whom are fewer. Risk of suicide is remarkably high immediately after discharge, and higher among males than females, those with preceding suicide attempts, high severity of depression, or concurrent substance abuse. Generalizability of findings from these Nordic studies to other countries need to be investigated, and their methodological limitations understood.

Borderline Personality Disorder With Depression Confers Significant Risk of Suicidal Behavior in Mood Disorder Patients-A Comparative Study.

OBJECTIVE: We investigated risk factors for suicidal ideation and behavior among currently depressed patients with major depressive disorder (MDD), major depressive episode (MDE) in bipolar disorder (BD), or MDE with comorbid borderline personality disorder (MDE/BPD). We compared current and lifetime prevalence of suicidal ideation and behavior, and investigated dimensional measures of BPD or mixed affective features of the MDE as indicators of risk. METHODS: Based on screening of 1,655 referrals, we recruited 124 psychiatric secondary care outpatients with MDE and stratified them into three subcohorts (MDD, BD, and MDE/BPD) using the Structured Clinical Interview for DSM-IV I and II. We examined suicidal ideation and behavior with the Columbia Suicide Severity Rating Scale (CSSRS). In addition, we quantified the severity of BPD symptoms and BD mixed features both categorically/diagnostically and dimensionally (using instruments such as the Borderline Personality Disorder Severity Index) in two time frames. RESULTS: There were highly significant differences between the lifetime prevalences of suicide attempts between the subcohorts, with attempts reported by 16% of the MDD, 30% of the BD, and 60% of the BPD subcohort. Remarkably, the lifetime prevalence of suicide attempts in patients with comorbid BD and BPD exceeded 90%. The severity of BPD features was independently associated with risk of suicide attempts both lifetime and during the current MDE. It also associated in a dose-dependent manner with recent severity of ideation in both BPD and non-BPD patients. In multinominal logistic regression models, hopelessness was the most consistent independent risk factor for severe suicidal ideation in both time frames, whereas younger age and more severe BPD features were most consistently associated with suicide attempts. CONCLUSIONS: Among patients with major depressive episodes, diagnosis of bipolar disorder, or presence of comorbid borderline personality features both imply remarkably high risk of suicide attempts. Risk factors for suicidal ideation and suicidal acts overlap, but may not be identical. The estimated severity of borderline personality features seems to associate with history of suicidal behavior and current severity of suicidal ideation in dose-dependent fashion among all mood disorder patients. Therefore, reliable assessment of borderline features may advance the evaluation of suicide risk.

Do Suicide Attempts of Mood Disorder Patients Directly Increase the Risk for a Reattempt?

Background: Preceding suicide attempts strongly predict future suicidal acts. However, whether attempting suicide per se increases the risk remains undetermined. We longitudinally investigated among patients with mood disorders whether after a suicide attempt future attempts occur during milder depressive states, indicating a possible lowered threshold for acting. Methods: We used 5-year follow-up data from 581 patients of the Jorvi Bipolar Study, Vantaa Depression Study, and Vantaa Primary Care Depression Study cohorts. Lifetime suicide attempts were investigated at baseline and during the follow-up. At follow-up interviews, life-chart data on the course of the mood disorder were generated and suicide attempts timed. By using individual-level data and multilevel modeling, we investigated at each incident attempt the association between the lifetime ordinal number of the attempt and the major depressive episode (MDE) status (full MDE, partial remission, or remission). Results: A total of 197 suicide attempts occurred among 90 patients, most during MDEs. When the dependencies between observations and individual liabilities were modeled, no association was found between the number of past suicide attempts at the time of each attempt and partial remissions. No association between adjusted inter-suicide attempt times and the number of past attempts emerged during follow-up. No indication for direct risk-increasing effects was found. Conclusion: Among mood disorder patients, repeated suicide attempts do not tend to occur during milder depressive states than in the preceding attempts. Previous suicide attempts may indicate underlying diathesis, future risk being principally set by the course of the disorder itself.

Role of Hopelessness in Suicidal Ideation Among Patients With Depressive Disorders.

OBJECTIVE: The cognitive theory of suicide postulates that hopelessness is an essential precondition for suicidal ideation in patients with depressive disorder . However, the explanatory power and predictive value of hopelessness for suicidal ideation remain uncertain. METHODS: From 1997 to 2007, patients with depressive disorder who were cohorts from the Vantaa Depression Studies (n = 406) completed the Scale for Suicide Ideation (SSI), Beck Hopelessness Scale (BHS), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Perceived Social Support Scale-Revised (PSSS-R), and Eysenck Personality Inventory-Q (EPI-Q) at baseline, 6 and 18 months, and 5 years. We conducted a mixed-effects generalized linear regression and clustered receiver-operating characteristics analysis to test how well BDI and BHS predict severe suicidal ideation within and between patients. RESULTS: BHS predicted clinically significant suicidal ideation (odds ratio [OR] = 2.8), explaining 13.1% of between-patient and and 3.5% of within-patient variance of SSI. Adjusting for the fixed effect of BDI removed a substantial part of the effect of BHS on SSI (adjusted OR = 1.38, P = .018). BAI moderated the effect of BHS on SSI, whereas EPI-Q and PSSS-R did not. BDI detected suicidal ideation more accurately (area under the receiver-operating characteristics curve [AUC] = 0.846) than BHS (AUC = 0.754). CONCLUSIONS: In patients with depressive disorder, hopelessness explains suicidal ideation, but largely because it covaries with depressive symptoms. The role of hopelessness as a central determinant of suicidal ideation in depression may have been overestimated. Symptoms of anxiety moderate the association between hopelessness and suicidal ideation. Severity of depressive symptoms may predict suicidal ideation more accurately than hopelessness.

Screening of psychiatric outpatients for borderline personality disorder with the McLean Screening Instrument for Borderline Personality Disorder (MSI-BPD).

BACKGROUND: Detecting patients with borderline personality disorder (BPD) is important, and feasible screening instruments are needed. AIMS: To investigate our Finnish translation of the McLean Screening Instrument for Borderline Personality Disorder (MSI-BPD) as a screen for BPD among psychiatric outpatients, its psychometric and screening properties, and feasibility in improving the recognition of BPD. METHODS: We screened 302 consecutive psychiatric outpatients at the Department of Psychiatry at the Helsinki University Central Hospital in Finland for BPD using the Finnish MSI-BPD. Of the patients, 69 (23%) were assigned to a random sample that was stratified according to the number of screens returned to the outpatient clinics, and further stratified into the three strata, high scores deliberately enriched, according to the MSI-BPD scores. Finally, a stratified random sample of 45 patients was interviewed with the Structured Clinical Interview for DSM-IV Axis II Personality Disorders (SCID-II) by the interviewers blind to the patients' MSI-BPD scores. RESULTS: One third (29%) of 302 screened patients had a positive MSI-BPD. The internal consistency of the MSI-BPD was good (Cronbach's alpha = 0.77). Of the 45 patients interviewed with the SCID-II, 11 (24%) were found to have BPD, five (46%) of whom a previously clinical diagnosis. In a ROC analysis, the optimal cut-off score was 7. CONCLUSIONS: The translated MSI-BPD was found to be a feasible screen for BPD in Finnish psychiatric outpatient care. Further studies investigating the clinical utility of MSI-BPD in larger clinical samples are warranted.

[Why does a person become depressed?]. / Miksi ihminen masentuu?

Genotype, temperament, early traumas, ongoing stress as well as the their mutual, cumulative effects are factors predisposing to depression. Depressed patients often have minor structural lesions of the brain, and during the depressive state they exhibit both neurochemical abnormalities and plasticity, metabolic activity and neuroendocrinological abnormalities of the brain. For the most part, these will return to normal with the convalescence. A temperament predisposing to depression may be reflected in functional imaging studies of the brain. The depressive state is usually triggered by a negative life event.

Association between solar insolation and a history of suicide attempts in bipolar I disorder.

In many international studies, rates of completed suicide and suicide attempts have a seasonal pattern that peaks in spring or summer. This exploratory study investigated the association between solar insolation and a history of suicide attempt in patients with bipolar I disorder. Solar insolation is the amount of electromagnetic energy from the Sun striking a surface area on Earth. Data were collected previously from 5536 patients with bipolar I disorder at 50 collection sites in 32 countries at a wide range of latitudes in both hemispheres. Suicide related data were available for 3365 patients from 310 onset locations in 51 countries. 1047 (31.1%) had a history of suicide attempt. There was a significant inverse association between a history of suicide attempt and the ratio of mean winter solar insolation/mean summer solar insolation. This ratio is smallest near the poles where the winter insolation is very small compared to the summer insolation. This ratio is largest near the equator where there is relatively little variation in the insolation over the year. Other variables in the model that were positively associated with suicide attempt were being female, a history of alcohol or substance abuse, and being in a younger birth cohort. Living in a country with a state-sponsored religion decreased the association. (All estimated coefficients p < 0.01). In summary, living in locations with large changes in solar insolation between winter and summer may be associated with increased suicide attempts in patients with bipolar disorder. Further investigation of the impacts of solar insolation on the course of bipolar disorder is needed.

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.

State and trait hopelessness in a prospective five-year study of patients with depressive disorders.

BACKGROUND: Hopelessness is a common experience of patients with depressive disorders (DD) and an important predictor of suicidal behaviour. However, stability and factors explaining state and trait variation of hopelessness in patients with DD over time are poorly known. METHODS: Patients with DD (n = 406) from the Vantaa Depression Study and the Vantaa Primary Care Depression Study filled in the Beck Hopelessness Scale (BHS), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Perceived Social Support Scale-Revised (PSSS-R), and Eysenck Personality Inventory-Q (EPI-Q) at baseline, at six and eighteen months, and at five years. We conducted a multilevel linear regression analyses predicting BHS with these covariates. RESULTS: During the five-year follow-up half of the variance in BHS was attributable to between-patient variance (50.6%, CI = 41.2-61.5%), and the rest arose from within-patient variance and measurement errors. BDI and BAI explained 5.6% of within-patient and 28.4% of between-patient variance of BHS. High Neuroticism and low Extraversion explained 2.6% of the between-patient variance of BHS. PSSS-R explained 5% of between-patient variance and 1.7% of within-patient variance of BHS. LIMITATIONS: No treatment effects were controlled. CONCLUSIONS: Hopelessness varies markedly over time both within and between patients with depression; it is both state- and trait-related. Concurrent depressive and anxiety symptoms and low social support explain both state and trait variance, whereas high Neuroticism and low Extraversion explain only trait variance of hopelessness. These variations influence the utility of hopelessness as an indicator of suicide risk.

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.