Geographical variation in treated psychotic and other mental disorders in Finland by region and urbanicity.

PURPOSE: In Finland, prevalence of schizophrenia is higher in the eastern and northern regions and co-occurs with the distribution of schizophrenia polygenic risk scores. Both genetic and environmental factors have been hypothesized to contribute to this variation. We aimed to examine the prevalence of psychotic and other mental disorders by region and degree of urbanicity, and the impacts of socio-economic adjustments on these associations. METHODS: Nationwide population registers from 2011 to 2017 and healthcare registers from 1975 to 2017. We used 19 administrative and three aggregate regions based on the distribution of schizophrenia polygenic risk scores, and a seven-level urban-rural classification. Prevalence ratios (PRs) were calculated by Poisson regression models and adjusted for gender, age, and calendar year (basic adjustments), and Finnish origin, residential history, urbanicity, household income, economic activity, and physical comorbidity (additional adjustments) on an individual level. Average marginal effects were used to visualize interaction effects between region and urbanicity. RESULTS: A total of 5,898,180 individuals were observed. All mental disorders were slightly more prevalent (PR 1.03 [95% CI, 1.02-1.03]), and psychotic disorders (1.11 [1.10-1.12]) and schizophrenia (1.19 [1.17-1.21]) considerably more prevalent in eastern and northern than in western coastal regions. After the additional adjustments, however, the PRs were 0.95 (0.95-0.96), 1.00 (0.99-1.01), and 1.03 (1.02-1.04), respectively. Urban residence was associated with increased prevalence of psychotic disorders across all regions (adjusted PR 1.21 [1.20-1.22]). CONCLUSION: After adjusting for socioeconomic and sociodemographic factors, the within-country distribution of mental disorders no longer followed the traditional east-west gradient. Urban-rural differences, on the other hand, persisted after the adjustments.

Mental health service diversity and work disability: associations of mental health service system characteristics and mood disorder disability pensioning in Finland.

PURPOSE: Public mental health services (MHS) are crucial in preventing psychiatric disability pensions (DP). We studied the associations between mood disorder DP risk and the characteristics of Finnish municipalities' MHS provision using the ESMS-R mapping tool and Finnish population registers, based on first-time granted mood disorder DPs between 2010 and 2015. METHODS: The final data set included 13,783 first-time mood disorder DP recipients and 1088 mental health service units in 104 municipalities. We focused on five different MHS types: all MHS, outpatient care provision, local services without and with gatekeeping, and centralized services. Three factors for each MHS type were studied: service resources, richness, and diversity index. Negative binomial regression models were used in the analysis. RESULTS: In all the municipalities, higher service richness and diversity regarding all MHS, outpatient care and local services with gatekeeping were associated with a lower DP risk. In urban municipalities, service richness was mainly associated with lower DP risk, and in semi-urban municipalities service diversity and resources were primarily associated with lower DP risk in outpatient care and local services with gatekeeping. In rural municipalities, DP risk indicated no association with MHS factors. CONCLUSION: The organization and structure of MHS play a role in psychiatric disability pensioning. MHS richness and diversity are associated with lower mood disorder DP in specific societal contexts indicating their role as quality indicators for regional MHS. The diversity of service provision should be accounted for in MHS planning to offer services matching population needs.

Patterns of mental health services and mood disorder disability pensions: a standard comparison of Finland's three largest hospital districts.

INTRODUCTION: Mental disorders are one of the most common and disabling health conditions worldwide. There is however no consensus on the best practice of system level mental health services (MHS) provision, in order to prevent e.g. mood disorder disability pensions (DPs). We analyzed the MHS provision between Finland's three largest hospital districts Helsinki and Uusimaa (HUS), Southwest Finland and Pirkanmaa, with known differences in mood disorder DP risk but presumably equal rates of mood disorder prevalence. METHODS: We used public MHS data analyzed with the standardized DEscription and Evaluation of Services and DirectoriEs for Long Term Care (DESDE-LTC) mapping tool, focusing on all MHS, outpatient care provision, local services without and with gatekeeping, and centralized services. We also collected demographic data based on the European Socio-Demographic Schedule (ESDS). As a novel approach, the Gini-Simpson Diversity Index (GSDI) was calculated for the districts. RESULTS: Evident differences were observed regarding the districts' MHS factors. As the hospital district with lower DP risk, HUS was characterized by the highest level of regional socioeconomic prosperity as well as high service richness and diversity. With a nationally average DP risk, Southwest Finland had the highest number of MHS personnel in full-time equivalents (FTE) per 100 000 inhabitants. Pirkanmaa, with a higher DP risk, had overall the lowest service richness and the lowest FTE of the three districts in all MHS, outpatient care and local services with gatekeeping. CONCLUSIONS: Our findings indicate that greater richness and diversity of MHS, especially in outpatient and community-based settings, may serve as indicators of a balanced, high-quality service system that is more effective in preventing mood disorder DP and meeting the different needs of the population. In addition, the need for sufficient resourcing in all MHS and outpatient services is indicated. We suggest using diversity indices to complement the measuring and reporting of regional service variation.

Internet-delivered cognitive behavioral therapy (iCBT) for common mental disorders and subsequent sickness absence: a systematic review and meta-analysis.

AIM: The study aimed to critically review and synthesize the best available evidence about the effectiveness of therapist-guided internet-delivered cognitive behavioral therapy (iCBT) in terms of reducing sickness absence (SA). METHODS: We searched Medline (PubMed), Embase, PsycInfo, CINAHL, and Cochrane Central (up to November 2020) for English language peer-reviewed papers that described randomized controlled trials of therapist-guided iCBT compared with usual treatment for SA in adults with common mental disorders. Eligible studies were assessed with the Cochrane Risk of Bias 1 tool, meta-analysis was conducted using a random-effects model, and standardized mean differences (SMD) with 95% confidence intervals (CI) were reported. A subgroup analysis investigated potential moderating variables (diagnosis, SA at baseline, and estimated accuracy of self-report). RESULTS: We identified 2788 references, of which 68 remained after the completion of the systematic screening process. A hand search of reference lists yielded no additional studies. The full texts of these 68 studies were appraised critically, and 11 were deemed to be suitable for a meta-analysis. SA was similar for iCBT and usual treatment groups (SMD: 0.02, 95% CI, -0.08 to 0.11), and remained similar even after the removal of two studies in which the recall time was over 3 months (SMD: 0.00, -0.11 to 0.12). Similar SA levels in intervention and control groups at 6-month and 12-month follow-up were observed in studies of participants with depression symptoms. CONCLUSIONS: iCBT did not appear to be effective in terms of reducing (largely self-assessed) SA in adults with common mental disorders. There is a need to improve the method and consistency of assessing SA.

Socioeconomic status, psychotherapy duration, and return to work from disability due to common mental disorders.

OBJECTIVE: Low socioeconomic status (SES) is a risk factor for work disability due to common mental disorders (CMDs), one possible reason being inequal use of services. Psychotherapy is an evidence-based treatment for CMDs. This study examines socioeconomic and sociodemographic differences in psychotherapy attendance and an association of psychotherapy duration with return to work (RTW). METHODS: The study subjects (N = 12,263) were all Finnish citizens granted a disability pension (DP) due to CMDs in 2010-2012. Numbers of psychotherapy sessions (maximum 200) were collected from the nine-year interval around the DP grant. Socioeconomic and sociodemographic differences in psychotherapy duration (dependent variable) among DP recipients were studied using multinomial logistic regression models, likewise, the association between psychotherapy duration and RTW (dependent variable) among temporary DP recipients was examined. RESULTS: Higher SES, female gender, and younger age were positively associated with attending longer psychotherapies and surpassing the early treatment termination level (>10 sessions). Attending 11-60 psychotherapy sessions was positively associated with full RTW and partial RTW, whereas longer psychotherapies were not. Early termination was positively associated with partial RTW only. CONCLUSION: This study demonstrates varying tendencies among CMD patients from different backgrounds to attend long rehabilitative psychotherapies, which may create inequalities in RTW.

Psychiatric and neurodevelopmental diagnoses in adolescence and adulthood over-indebtedness among Finns born in 1987.

BACKGROUND: Adolescence psychiatric and neurodevelopmental diagnoses are common but their link to adulthood over-indebtedness is unknown. This study aims to determine this relationship and explores the possible mediating role of upper secondary education completion. METHODS: We analyzed the 1987 Finnish Birth Cohort, which consisted of a complete census of children born in Finland in 1987 and registered in the Medical Birth Register (n = 53 743). Records of debt payment defaults, at the age of 33, were used as a measure of over-indebtedness. Adolescent psychiatric and neurodevelopmental diagnoses at ages 13-17 were derived from the national hospital discharge register. Inverse probability treatment weighting was used to investigate the role of pre-exposure variables in this relationship, and the mediating role of upper secondary education completion. RESULTS: Compared to unexposed individuals, those affected by an adolescent psychiatric or neurodevelopmental diagnosis had a 15 percentage points higher prevalence of over-indebtedness in adulthood. This association was more common for males and was additionally notably strong for suicidality and conduct and oppositional disorders. Controlling for measured potential confounding factors, the diagnoses were linked to a 11-percentage point (95% confidence interval 9-12) higher risk of over-indebtedness. Completing at least upper secondary education reduced this effect by some 39%. CONCLUSION: People with psychiatric and neurodevelopmental disorders diagnosed in adolescence are at elevated risk of over-indebtedness in adulthood. Recognizing this high risk may help in efforts to prevent further debt problems. Better education may serve as a protective factor against over-indebtedness and perhaps similar other behavioural consequences.

Socioeconomic factors and use of psychotherapy in common mental disorders predisposing to disability pension.

BACKGROUND: Research in high-income countries has identified low socioeconomic status as a risk factor for disability pension (DP) due to common mental disorders (CMDs). Psychotherapy is an evidence-based treatment for the majority of CMDs along with medication and it is often targeted to prevent work disability. This study examines socioeconomic differences in the use of rehabilitative psychotherapy in Finland, where citizens have universal health coverage, but psychotherapy is partly dependent on personal finance. METHODS: The study subjects (N = 22,501) were all the Finnish citizens granted a DP due to CMD between 2010 and 2015 and a comparison group (N = 57,732) matched based on age, gender, and hospital district. Socioeconomic differences in psychotherapy use were studied using logistic regression models. Socioeconomic status was defined by education, income, and occupation. Age, gender, and family status were also examined. RESULTS: A lower level of education, lower occupational status (blue-collar worker), male gender, and older age, were associated with less frequent psychotherapy use, in both groups. Education was the strongest component of socioeconomic status associated with psychotherapy use, but the role of income was not straightforward. Unemployment when approaching DP, but not otherwise, was a risk factor for not receiving rehabilitative psychotherapy. Socioeconomic disparities were not any smaller among CMD patients approaching DP than in the comparison group. CONCLUSION: This study demonstrates the disparity in the provision of psychotherapy for CMD patients, even on the verge of DP with an acute need for services. This disparity is partly related to a complex interplay of socioeconomic factors and the service system characteristics. Factors predisposing to unequal access to mental health services are presumably diverse and should be studied further.

Factors behind a remarkable increase in adolescent psychiatric inpatient treatment between 1980 and 2010 - a nationwide register study.

PURPOSE: This register-based study aimed to evaluate trends in adolescent psychiatric inpatient care using nationwide data from three consecutive decades. METHODS: The study population (N 17,112) comprised all Finnish citizens aged 13-17 receiving their first-ever psychiatric inpatient treatment between 1980 and 2010 in Finland. Information on inpatient care in the psychiatric hospital was obtained from the Hospital Discharge Register and the Care Register for Health Care, which contains data on all patients discharged from all Finnish inpatient psychiatric health services. RESULTS: Inpatient admissions remained relatively stable until the early 1990s, after which a steady increase was seen, peaking in 2008 and more marked among females than males. In males, there was an increase in inpatient care episodes for externalizing disorder or mood disorder, and in females for mood disorder. Duration of first inpatient care decreased over time, but level of functioning on admission remained stable or even deteriorated. Females, patients first admitted in the 1980s or diagnosed with schizophrenia were more likely to be re-hospitalized during adolescence. CONCLUSIONS: We reported an increase in adolescent psychiatric inpatient care from the latter half of the 1990s up to 2010, which could be explained by societal and policy changes. In particular, as the study period progressed a significant increase was seen in admissions of females and a global reduction of length of stay (LOS) with no concomitant increase in re-hospitalizations.

Contextual and mental health service factors in mental disorder-based disability pensioning in Finland - a regional comparison.

BACKGROUND: We investigated the regional differences in all mental disorder disability pensions (DP) between 2010 and 2015 in Finland, and separately in mood disorders and non-affective psychotic disorder DP. We also studied the contribution of several district-level contextual and mental health service factors to mental disorder DP. METHODS: Subjects were all those granted mental disorder DP for the first time between 2010 and 2015 in Finland (N = 36,879). Associations between the district-level contextual and mental health service factors and regional DP risks collected from the year 2015 were studied with negative binomial regression analysis in the Finnish hospital districts. The population number on the age (18 to 65 years), gender, occupational status and residential hospital district of the Finnish population from 2015 was used as exposure in the model. RESULTS: Significant differences in the regional mental disorder DP risks between and within hospital districts did not appear to follow the traditional Finnish health differences. A lower risk of DP was associated with contextual indicators of higher regional socioeconomic level. Furthermore, population density as a proxy for access to mental health services indicated a higher regional DP risk for lower density in all mental (IRR 1.10; 95% CI 1.06-1.14) and mood disorder (IRR 1.12; 95% CI 1.08-1.16) DP. Both the highest and the lowest regional numbers of all mental health outpatient visits were associated with a higher DP risk in all mental and mood disorder DP, whereas particularly low regional numbers of inpatient treatment periods and of patients were associated with a lower risk of DP. CONCLUSIONS: In this comprehensive population-level study, we found evidence of significant regional variation in mental disorder DP and related district-level factors. This variation may at least partly relate to differences in regional mental health service systems and treatment practices. Adapting to the needs of the local population appears to be indicated for both regional mental health service systems and treatment practices to achieve optimal performance.

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.

Socioeconomic factors in disability retirement due to mental disorders in Finland.

BACKGROUND: Previous research has identified low socioeconomic status (SES) as an epidemiological risk factor for early retirement and disability pension (DP) due to mental disorders. This study aims to examine these associations in greater detail, with separate consideration of the risk factors for mood disorders (F30-39) and non-affective psychotic disorder (F20-29) DP. METHODS: In this case-control setting the subjects (N = 36 879) were all those granted DP due to a mental disorder for the first time between 2010 and 2015 in Finland. All the subjects were matched with three controls for their gender, age and hospital district (N = 94 388). Three measures of dimensions of SES were used: education, income and occupational status, as well as family type as a control factor. Differences between DP recipients and controls, and between diagnostic groups, were studied using calculated characteristics and conditional logistic regression models. RESULTS: DP recipients often lived alone and had low educational and income levels. These characteristics were more prominent in non-affective psychotic disorder than in mood disorder DP. In white-collar occupational groups, the risk of DP was greater compared with blue-collar workers. Students were associated with the highest level of risk for all mental and mood disorder DPs. CONCLUSIONS: We found evidence of SES factors associating with mental disorder-related severe loss of working and studying ability in a disorder-specific way. Notably, white-collar workers had an increased risk of mental disorder DP. This could be related to the psychosocially demanding contemporary working life in non-manual work.

The association of psychological factors and healthcare use with the discrepancy between subjective and objective respiratory-health complaints in the general population.

BACKGROUND: We examined the prevalence of self-perceived respiratory symptoms (SRS) in the absence of any objective findings of respiratory pathology, and the association of such prevalence with psychological factors and healthcare use in the general population. METHODS: The study was conducted among a nationally representative sample of Finnish adults (BRIF8901). Respiratory functioning was measured by a spirometry test. Structured questionnaires were used to measure SRS, physician visits and psychological factors of alexithymia, sense of coherence, illness worry and common mental disorders. Individuals with a diagnosed respiratory disease or a severe psychiatric disorder, determined in a diagnostic interview, were excluded, giving a sample comprising 4544 participants. RESULTS: Twenty-six per cent of the general population and 36% of those with no diagnosed severe psychiatric disorder or respiratory disease experienced SRS despite a normal spirometry result. Psychological factors were associated with SRS (0.0001 < p < 0.032), and on the number of physician visit explaining 42.7% of the difference in visits between individuals with and without SRS, respectively. Illness worry was associated most strongly with SRS [odds ratio (OR) 1.29, 95% confidence interval (CI) 1.19-1.41, p < 0.0001] and higher numbers of physician visits (OR 1.35, CI 1.32-1.38, p < 0.00001), even after several adjustments. CONCLUSIONS: Respiratory symptoms without objective findings are common in the general population. The study results underline the role of psychological factors in the reporting of respiratory symptoms and the associated medical burden, thereby indicating the functional nature of the symptomatology.

Growth after late-preterm birth and adult cognitive, academic, and mental health outcomes.

BACKGROUND: Late-preterm birth (at 340/7-366/7 wk gestation) increases the risk of early growth faltering, poorer neurocognitive functioning, and lower socio-economic attainment. Among early-preterm individuals, faster early growth benefits neurodevelopment, but it remains unknown whether these benefits extend to late-preterm individuals. METHODS: In 108 late-preterm individuals, we examined if weight, head, or length growth between birth, 5 and 20 months' corrected age, and 56 mo, predicted grade point average and special education in comprehensive school, or neurocognitive abilities and psychiatric diagnoses/symptoms at 24-26 y of age. RESULTS: For every 1 SD faster weight and head growth from birth to 5 mo, and head growth from 5 to 20 mo, participants had 0.19-0.41 SD units higher IQ, executive functioning score, and grade point average (95% confidence intervals (CI) 0.002-0.59 SD), and lower odds of special education (odds ratio (OR) = 0.49-0.59, 95% CIs 0.28-0.97), after adjusting for sex, gestational age, follow-up age, and parental education. Faster head growth from 20 to 56 mo was associated with less internalizing problems; otherwise we found no consistent associations with mental health outcomes. CONCLUSION: Faster growth during the critical early period after late-preterm birth is associated with better adult neurocognitive functioning, but not consistently with mental health outcomes.

How size matters: exploring the association between quality of mental health services and catchment area size.

BACKGROUND: The diversity of mental health and substance abuse services (MHS) available to service users is seen as an indicator of the quality of the service system. In most countries MHS are provided by a mix of public, private and third sector providers. In Finland, officially, the municipalities are responsible for organizing the services needed, but the real extent and roles of private and third sector service providers are not known. Our previous study showed that the catchment area population size was strongly associated with diversity of mental health services. It is not known whether this was due to some types of services or some provider types being more sensitive to the size effect than others. The aim of this study was to investigate the association between area population size and diversity of mental health services, i.e. which types of services and which service providers' contributions are sensitive to population size. METHODS: To map and classify services, we used the ESMS-R. The diversity of services was defined as the count of main types of care. Providers were classified as public, private or third sectors. RESULTS: The diversity of outpatient, residential and voluntary services correlated positively with catchment area population size. The strongest positive correlation between the size of population and services available was found in third sector activities followed by public providers, but no correlation was found for diversity of private services. The third sector and public corporations each provided 44 % of the service units. Third sector providers produced all self-help services and most of the day care services. Third sector and private companies provided a significant part (59 %) of the residential care service units. CONCLUSIONS: Significant positive correlations were found between size of catchment area population and diversity of residential, outpatient and voluntary services, indicating that these services concentrate on areas with larger population bases. The third sector seems to significantly complement the public sector in providing different services. Thus the third sector be needs to be functionally integrated with other MHS services to achieve a diversified and integrated service system.

[Update on Current Care Guideline: Depression]. / Depressio.

Treatment of depression is based on comprehensive diagnostic, clinical and psychosocial evaluation. Brief psychotherapies (cognitive, interpersonal, psychodynamic or problem-solving) are effective in mild to moderate depression; antidepressants in mild to severe, and electroconvulsive therapy in severe or psychotic. Combining antidepressants and psychotherapy is more effective than either alone. After the acute phase, antidepressants should be continued for six months to prevent relapses, and maintenance treatment considered after three lifetime episodes. Primary care is responsible for treatment of mild to moderate depressions; developing psychiatric consultation services and use of nurse case managers are recommended.

Post-discharge suicides of inpatients with bipolar disorder in Finland.

OBJECTIVES: Suicide risk in psychiatric inpatients is known to be remarkably high after discharge. However, temporal patterns and risk factors among patients with bipolar disorder remain obscure. We investigated post-discharge temporal patterns of hazard and risk factors by type of illness phase among patients with bipolar disorder. METHODS: Based on national registers, all discharges of patients with bipolar disorder from a psychiatric ward in Finland in 1987-2003 (n = 52,747) were identified, and each patient was followed up to post-index discharge or to suicide (n = 466). For discharges occurring in 1995-2003 (n = 35,946), factors modifying hazard of suicide during the first 120 days (n = 129) were investigated. RESULTS: The temporal pattern of suicide risk depended on the type of illness phase, being highest but steeply declining after discharge with depression; less high and declining in mixed states; lower and relatively stable after mania. In Cox models, for post-discharge suicides (n = 65) after hospitalizations for bipolar depression (n = 9,635), the hazard ratio was 8.05 (p = 0.001) after hospitalization with a suicide attempt and 3.63 (p < 0.001) for male patients, but 0.186 (p = 0.001) for patients taking lithium. Suicides after mania (n = 28) or mixed episodes (n = 20) were predicted by male sex and preceding suicide attempts, respectively. CONCLUSIONS: Among inpatients with bipolar disorder, suicide risk is high and related strongly to the time elapsed from discharge after hospitalizations for depressive episodes, and less strongly after hospitalizations for mixed episodes. Intra-episodic suicide attempts and male sex powerfully predict suicide risk. Lower suicide rate after hospitalizations for depression among patients prescribed lithium is consistent with a preventive effect.

Enhancing the accuracy of register-based metrics: Comparing methods for handling overlapping psychiatric register entries in Finnish healthcare registers.

OBJECTIVES: Healthcare registers are invaluable resources for research. Partly overlapping register entries and preliminary diagnoses may introduce bias. We compare various methods to address this issue and provide fully reproducible open-source R scripts. METHODS: We used all Finnish healthcare registers 1969-2020, including inpatient, outpatient and primary care. Four distinct models were formulated based on previous reports to identify actual admissions, discharges, and discharge diagnoses. We calculated the annual number of treatment events and patients, and the median length of hospital stay (LOS). We compared these metrics to non-processed data. Additionally, we analyzed the lifetime number of individuals with registered mental disorders. RESULTS: Overall, 2,130,468 individuals had a registered medical contact related to mental disorders. After processing, the annual number of inpatient episodes decreased by 5.85%-10.87% and LOS increased by up to 3 days (27.27%) in years 2011-2020. The number of individuals with lifetime diagnoses reduced by more than 1 percent point (pp) in two categories: schizophrenia spectrum (3.69-3.81pp) and organic mental disorders (1.2-1.27pp). CONCLUSIONS: The methods employed in pre-processing register data significantly impact the number of inpatient episodes and LOS. Regarding lifetime incidence of mental disorders, schizophrenia spectrum disorders require a particular focus on data pre-processing.

Variations in Suicide Risk and Risk Factors After Hospitalization for Depression in Finland, 1996-2017.

Importance: Although incidence of suicide in depression varies remarkably temporally, risk factors have been modeled as constant and remain uncharted in the short term. How effectively factors measured at one point in time predict risk at different time points is unknown. Objective: To examine the absolute risk and risk factors for suicide in hospitalized patients with depression starting from the first days after discharge up to 2 years and to evaluate whether the size of relative risk by factor displays temporal patterns over consecutive phases of follow-up. Design, Setting, and Participants: This population-based study using Finnish registers (hospital discharge, population, and cause of death registers) included all hospitalizations for depression as the principal diagnosis in Finland from 1996 to 2017, with a maximum follow-up of 2 years. Data were analyzed from January 2022 to November 2023. Main Outcomes and Measures: Incidence rate (IR), IR ratios, hazard functions, and hazard ratios for suicide by consecutive time periods (0 to 3 days, 4 to 7 days, 7 to 30 days, 31 to 90 days, 91 to 365 days, and 1 to 2 years) since discharge. Results: This study included 193 197 hospitalizations among 91 161 individuals, of whom 51 197 (56.2%) were female, and the mean (SD) age was 44.0 (17.3) years. Altogether, patients were followed up to 226 615 person-years. A total of 1219 men and 757 women died of suicide. Incidence of suicide was extremely high during the first days after discharge (IR of 6062 [95% CI, 4963-7404] per 100 000 on days 0 to 3; IR of 3884 [95% CI, 3119-4835] per 100 000 on days 4 to 7) and declined thereafter. Several factors were associated with risk of suicide over the first days after discharge. Current suicide attempt by hanging or firearms increased the risk of suicide most on days 0 to 3 (IR ratio, 18.9; 95% CI, 3.1-59.8) and on days 0 to 7 (IR ratio, 10.1; 95% CI, 1.7-31.5). Temporal patterns of the size of the relative risk diverged over time, being constant, declining, or increasing. Clinical factors had the strongest association immediately. Relative risk remained constant among men and even increased among those with alcohol or substance use disorder. Conclusions and Relevance: In this study, patients hospitalized for depression had extremely high risk of suicide during the first days after discharge. Thereafter, incidence declined steeply but remained high. Within the periods of the highest risk of suicide, several factors increased overall risk manyfold. Risk factors' observed potencies varied over time and had characteristic temporal patterns.

Health-Related Costs of Intimate Partner Violence: Using Linked Police and Health Registers.

This study aims to estimate direct health-related costs for victims of intimate partner violence (IPV) using nationwide linked data based on police reports and two healthcare registers in Finland from 2015 to 2020 (N = 21,073). We used a unique register dataset to identify IPV victims from the data based on police reports and estimated the attributable costs by applying econometric models to individual-level data. We used exact matching to create a reference group who had not been exposed to IPV. The mean, unadjusted, attributable healthcare cost for victims of IPV was €6,910 per individual over the 5-year period after being first identified as a victim. When adjusting for gender, age, education, occupation, and mental-health- and pregnancy-related diagnoses, the mean attributable health-related cost for the 5 years was €3,280. The annual attributable costs of the victims were consistently higher than those for nonvictims during the entire study period. Thus, our results suggest that the adverse health consequences of IPV persist and are associated with excess health service use for 5 years after exposure to IPV. Most victims of IPV were women, but men were also exposed to IPV, although the estimates were statistically significant only for female victims. Victims of IPV were over-represented among individuals outside the labor force and lower among those who were educated. The total healthcare costs of victims of IPV varied according to the socioeconomic factors. This study highlights the need for using linked register data to understand the characteristics of IPV and to assess its healthcare costs. The study results suggest that there is a significant socioeconomic gradient in victimization, which could also be useful to address future IPV prevention and resource allocation.

Depressive symptoms, major depressive episodes and cognitive test performance-what is the role of physical activity?

BACKGROUND: Positive associations between physical activity and cognitive test performance in depressed subjects have been proposed in clinical studies. The contribution of severity and recency of depressive symptoms at the population level is not known. AIMS: This study aims to examine whether regular physical activity associates with better verbal fluency and psychomotor speed in depressed subjects using a large population-based sample. METHODS: Data was obtained from the population-based Finnish Health 2000 Study, gathered in 2000-2001. Depressive symptoms and depressive disorders were assessed by the Beck Depression Inventory (BDI) and the Composite International Diagnostic Interview (CIDI), correspondingly. Cognitive test performance was assessed by the animal naming test and psychomotor speed with a simple and multi-choice reaction time test. Physical activity (Gothenburg scale) was self-reported. Complete data were obtained from 3658 subjects aged 30-64 years. Socio-demographic factors, health behaviours and use of antidepressants and anxiolytics were used as covariates in the linear regression models. Adjusted means were calculated using the predictive margins method. RESULTS: Regular physical activity associated with better performance in reaction time tests and better verbal fluency among men with depressive symptoms or with a major depressive episode. Physical activity also associated with cognitive test performance among non-depressed men and women, but among them the differences between the physical activity groups were smaller. CONCLUSION: Regular physical activity may be a useful tool in supporting neurocognitive functioning among depressed subjects.