Erkki Isometsä

DSM-IV mood-, anxiety- and alcohol use disorders and their comorbidity in the Finnish general population--results from the Health 2000 Study.

BackgroundInformation on prevalence, accumulation and variation of common mental disorders is essential for both etiological research and development of mental health service systems.MethodsA representative sample (6005) of Finland’s general adult (≥ 30 years) population was interviewed in the period 2000–2001 with the CIDI for presence of DSM-IV mental disorders during the last 12 months in the comprehensive, multidisciplinary Health 2000 project.ResultsDepressive-, alcohol use- and anxiety disorders were found in 6.5%, 4.5 % and 4.1% of the subjects, respectively. A comorbid disorder was present in 19% of those with any disorder. Males had more alcohol use disorders (7.3 % vs. 1.4 %) and females more depressive disorders (8.3 % vs. 4.6 %). Older age, marriage and employment predicted lower prevalence of mental disorders and their comorbidity. Prevalences of alcohol use- and comorbid disorders were higher in the Helsinki metropolitan area, and depressive disorders in northern Finland.ConclusionsMental disorders and their comorbidities are distributed unevenly between sexes and age groups, are particularly associated with marital and employment status, and vary by region. There appears to be no single population subgroup at high risk for all mental disorders, but rather several different subgroups at risk for particular disorders or comorbidity patterns.

The 12‐month prevalence and risk factors for major depressive episode in Finland: representative sample of 5993 adults

Objective: This study reports the 12‐month prevalence of major depressive episode and its risk factors in a representative nationwide sample.

Burnout in the general population

BackgroundBurnout is a chronic stress syndrome which develops gradually as a consequence of prolonged stress situation. Socio-demographic factors related to job-related burnout have not been studied in the whole population. We investigated the relative differences in the level of burnout between groups based on various socio-demographic factors in the population-based Finnish sample.MethodsThe nationally representative sample comprised 3,424 employees aged 30–64 years. Burnout was assessed with the Maslach Burnout Inventory–General Survey. The socio-demographic factors of interest were gender, age, education, type of employment, work experience, socio-economic status (SES), working time, and marital status.ResultsOnly small differences in burnout were found between the different population groups. As a three-dimensional syndrome, burnout was associated with age. In contrast to what has been consistently reported so far, mostly among human service work and in non-representative studies, burnout seemed to increase somewhat with age. Among women, burnout was also related to education, SES, and work experience, and among men, to marital status.ConclusionsBurnout can evolve in all kinds of vocational groups. It seems that age does not generally protect against burnout. A low education level and low social status carry a possible risk of burnout for women, and being single, divorced, or widowed carry a possible risk of burnout for men.

Mental disorders in cancer suicides

Mental disorders among suicide victims who had suffered from cancer were investigated using psychological autopsy data on all suicides in Finland over 1 year. Retrospective DSM-III-R consensus diagnoses were assigned to all 60 cancer suicides and to 60 age- and sex-matched comparison suicides without a cancer history. Depressive syndromes were equally common along cancer suicides (80%) and others (82%). Alcohol dependence and personality disorders were more frequent among noncancer suicides. Major depression and substance abuse were more common among victims with cancer in remission than in terminal stages. Only a small minority of cancer suicides seem to occur in the absence of mental disorders.

DISC1 association, heterogeneity and interplay in schizophrenia and bipolar disorder.

Disrupted in schizophrenia 1 (DISC1) has been associated with risk of schizophrenia, schizoaffective disorder, bipolar disorder, major depression, autism and Asperger syndrome, but apart from in the original translocation family, true causal variants have yet to be confirmed. Here we report a harmonized association study for DISC1 in European cohorts of schizophrenia and bipolar disorder. We identify regions of significant association, demonstrate allele frequency heterogeneity and provide preliminary evidence for modifying interplay between variants. Whereas no associations survived permutation analysis in the combined data set, significant corrected associations were observed for bipolar disorder at rs1538979 in the Finnish cohorts (uncorrected P=0.00020; corrected P=0.016; odds ratio=2.73±95% confidence interval (CI) 1.42–5.27) and at rs821577 in the London cohort (uncorrected P=0.00070; corrected P=0.040; odds ratio=1.64±95% CI 1.23–2.19). The rs821577 single nucleotide polymorphism (SNP) showed evidence for increased risk within the combined European cohorts (odds ratio=1.27±95% CI 1.07–1.51), even though significant corrected association was not detected (uncorrected P=0.0058; corrected P=0.28). After conditioning the European data set on the two risk alleles, reanalysis revealed a third significant SNP association (uncorrected P=0.00050; corrected P=0.025). This SNP showed evidence for interplay, either increasing or decreasing risk, dependent upon the presence or absence of rs1538979 or rs821577. These findings provide further support for the role of DISC1 in psychiatric illness and demonstrate the presence of locus heterogeneity, with the effect that clinically relevant genetic variants may go undetected by standard analysis of combined cohorts.

Mental disorders in elderly suicide.

The purpose of this study was to investigate the prevalence and comorbidity of current mental disorders defined by DSM-III-R among elderly suicide victims and to compare them with the mental disorders among younger victims. Using a psychological autopsy method, we collected comprehensive data on all suicides in Finland during 1 year. Retrospective Axis I-III consensus diagnoses were assigned to a random sample consisting of 43 victims aged 60 years or over and 186 victims aged under 60 from the nationwide suicide population. At least one Axis I diagnosis was made for 91% of the elderly victims. Major depression as the principal diagnosis was more common among the elderly victims. Almost all elderly female victims were major depressives. Psychiatric comorbidity was more common among elderly male than among elderly female victims. More of the elderly victims (88%) than the younger (36%) received Axis III diagnoses. Suicide among the elderly without a diagnosable mental disorder and somatopsychiatric comorbidity seems to be rare.

Major depressive disorder and white matter abnormalities: A diffusion tensor imaging study with tract-based spatial statistics

BACKGROUND A few diffusion tensor imaging (DTI) studies have shown abnormalities in areas of white matter tracts involved in mood regulation in geriatric depressive patients, using a region-of-interest technique. A voxel-based morphometry DTI study of young depressive patients reported similar results. In this study, we explored the structure of the white matter of the whole brain with DTI in middle-aged major depressive disorder (MDD) patients, using novel tract-based spatial statistics. METHODS Sixteen MDD patients and 20 controls underwent DTI. An automated tract-based spatial method (TBSS) was used to analyze the scans. RESULTS Compared with controls, the MDD patients showed a trend for lower values of fractional anisotropy (FA) in the left sagittal stratum, and suggestive decreased FA in the right cingulate cortex and posterior body of corpus callosum. Regressing out the duration and severity of disorder in the model did not change the finding in the sagittal stratum, but dissipated the decrease of FA in latter regions. LIMITATIONS Possibly by reason of a relatively small study sample for a TBSS, the results are suggestive, and should be replicated in further studies. CONCLUSIONS A novel observer-independent DTI method showed decreased FA in the middle-aged MDD patients in white matter regions that have previously connected to the emotional regulation. Lower FA might imply underlying structural abnormalities that contribute to the dysfunction detected in the limbic-cortical network of depressive patients.

Breakdown of Long-Range Temporal Correlations in Theta Oscillations in Patients with Major Depressive Disorder

Neuroimaging has revealed robust large-scale patterns of high neuronal activity in the human brain in the classical eyes-closed wakeful rest condition, pointing to the presence of a baseline of sustained endogenous processing in the absence of stimulus-driven neuronal activity. This baseline state has been shown to differ in major depressive disorder. More recently, several studies have documented that despite having a complex temporal structure, baseline oscillatory activity is characterized by persistent autocorrelations for tens of seconds that are highly replicable within and across subjects. The functional significance of these long-range temporal correlations has remained unknown. We recorded neuromagnetic activity in patients with a major depressive disorder and in healthy control subjects during eyes-closed wakeful rest and quantified the long-range temporal correlations in the amplitude fluctuations of different frequency bands. We found that temporal correlations in the theta-frequency band (3-7 Hz) were almost absent in the 5-100 s time range in the patients but prominent in the control subjects. The magnitude of temporal correlations over the left temporocentral region predicted the severity of depression in the patients. These data indicate that long-range temporal correlations in theta oscillations are a salient characteristic of the healthy human brain and may have diagnostic potential in psychiatric disorders. We propose a link between the abnormal temporal structure of theta oscillations in the depressive patients and the systems-level impairments of limbic-cortical networks that have been identified in recent anatomical and functional studies of patients with major depressive disorder.

Level of suicidal intent predicts overall mortality and suicide after attempted suicide: a 12-year follow-up study

BackgroundThe aim of this study was to comprehensively examine clinical risk factors, including suicide intent and hopelessness, for suicide and risk of death from all causes after attempted suicide over a 12-year follow-up period.MethodsA systematic sample of 224 patients from consecutive cases of attempted suicide referred to health care in four Finnish cities between 1 January and 31 July 1990 was interviewed.ResultsAfter 12 years of follow-up 22% of these patients had died, 8% by committing suicide. The only statistically significant risk factor for eventual suicide was high scores on Becks Suicidal Intention Scale. Male gender, older age, physical illness or disability and high scores on Becks Suicidal Intention Scale predicted death overall.ConclusionsFollowing attempted suicide, high intention to kill oneself is a significant risk factor for both death from all causes and suicide.

Incidence and Predictors of Suicide Attempts in DSM-IV Major Depressive Disorder: A Five-Year Prospective Study

OBJECTIVE Prospective long-term studies of risk factors for suicide attempts among patients with major depressive disorder have not investigated the course of illness and state at the time of the act. Therefore, the importance of state factors, particularly time spent in risk states, for overall risk remains unknown. METHOD In the Vantaa Depression Study, a longitudinal 5-year evaluation of psychiatric patients with major depressive disorder, prospective information on 249 patients (92.6%) was available. Time spent in depressive states and the timing of suicide attempts were investigated with life charts. RESULTS During the follow-up assessment period, there were 106 suicide attempts per 1,018 patient-years. The incidence rate per 1,000 patient-years during major depressive episodes was 21-fold (N=332 [95% confidence interval [CI]=258.6-419.2]), and it was fourfold during partial remission (N=62 [95% CI=34.6-92.4]) compared with full remission (N=16 [95% CI=11.2-40.2]). In the Cox proportional hazards model, suicide attempts were predicted by the months spent in a major depressive episode (hazard ratio=7.74 [95% CI=3.40-17.6]) or in partial remission (hazard ratio=4.20 [95% CI=1.71-10.3]), history of suicide attempts (hazard ratio=4.39 [95% CI=1.78-10.8]), age (hazard ratio=0.94 [95% CI=0.91-0.98]), lack of a partner (hazard ratio=2.33 [95% CI=0.97-5.56]), and low perceived social support (hazard ratio=3.57 [95% CI=1.09-11.1]). The adjusted population attributable fraction of the time spent depressed for suicide attempts was 78%. CONCLUSIONS Among patients with major depressive disorder, incidence of suicide attempts varies markedly depending on the level of depression, being highest during major depressive episodes. Although previous attempts and poor social support also indicate risk, the time spent depressed is likely the major factor determining overall long-term risk.