Associations between neighbourhood characteristics, physical activity and depressive symptoms: the Northern Finland Birth Cohort 1966 Study.

BACKGROUND: Due to rapid urbanization, there is a need to better understand the relative roles of residential environment and physical activity in depression. We aimed to investigate whether neighbourhood characteristics are related to the presence of depressive symptoms and whether the association is modified by physical activity. METHODS: This cross-sectional study used the 46-year-old follow-up data (n = 5489) from the Northern Finland Birth Cohort 1966. Data on depressive symptoms, measured by Beck Depression Inventory-II, and self-reported and accelerometer-measured physical activity were included. Neighbourhood characteristics, population density, distance to the closest grocery store, bus stops and cycle/pedestrian paths, distance to the nearest parks and forests, residential greenness and level of urbanicity were calculated using Geographic Information System methods based on participants' home coordinates. RESULTS: According to ordinal logistic regression analyses adjusted for physical activity at different intensities and individual covariates, living in a neighbourhood with higher population density and urbanicity level were associated with a higher risk of experiencing more severe depressive symptoms. Higher residential greenness was associated with a lower risk of experiencing more severe depressive symptoms after adjustment for self-reported light and moderate-to-vigorous physical activity, accelerometer-measured moderate-to-vigorous physical activity and individual covariates. Both higher self-reported and accelerometer-measured physical activity were independently associated with a lower risk of more severe depressive symptoms. CONCLUSIONS: Both residential environment and physical activity behaviour play an important role in depressive symptoms; however, further research among populations of different ages is required. Our findings can be utilized when designing interventions for the prevention of depression.

Premorbid temperament as predictor of onset of depression: 23-year follow-up.

BACKGROUND: Previously Cloninger's temperament traits have been researched as a risk factor for depression mostly in cross-sectional studies. In these studies, especially high harm avoidance has been associated with an increased risk of depression. The main objective of this study was to investigate how temperament traits affect the risk of the onset of depression in a previously mentally healthy adult population. METHODS: This study includes a follow-up period of 23 years from the age of 31 until 54 in the Northern Finland Birth Cohort 1966 Study. Temperament was measured at the 31-year follow-up using Temperament and Character Inventory (TCI). The outcome of the study was depressive disorder diagnosis during the follow-up in both sexes. To be able to take correlations between temperament traits we also did an analysis using temperament clusters. RESULTS: Our sample size was 3999 individuals, out of which 240 were diagnosed with depression. For women an increase in the TCI score for novelty seeking (NS), harm avoidance (HA) or persistence (P) increased the risk of depression during the follow-up. For men only HA was a significant predictor of depression. An increase in reward dependence (RD) was found to reduce the risk of psychotic depression. In the analysis using the temperament clusters, the cluster including shy and pessimistic individuals was associated with risk for depression diagnosis in men. CONCLUSIONS: This prospective general population-based cohort study added to previous knowledge of high HA being a risk factor for depression, but it also found new associations such as higher P and NS.

Glucose Metabolism in Midlife Is Associated With Preceding 30-Year Employment Trajectories: A Northern Finland Birth Cohort 1966 Study.

OBJECTIVE: The aim of the study is to evaluate how glucose metabolism in midlife is related to preceding 30-year-long employment trajectories. METHODS: In the Northern Finland Birth Cohort 1966, we compared glucose metabolism at 46 to employment trajectories (previously defined for men and women and named as high-educated, traditional, self-employed, delayed, and floundering; n = 6399). RESULTS: Compared with individuals in high-educated trajectories, odds ratios for type 2 diabetes (T2D, 95% confidence interval) in traditional and floundering trajectories in men were 1.65 (1.02-2.68) and 2.42 (1.38-4.23) and in women 1.89 (1.04-3.43) and 2.60 (1.46-4.62), respectively. In self-employed trajectory in women, odds ratios for prediabetes and T2D were 1.66 (1.09-2.51) and 2.47 (1.21-5.04). CONCLUSIONS: The highest risks for T2D in midlife were associated after traditional and floundering trajectories in men and women and after self-employment trajectory in women.

Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project - EU Child Cohort Network: A Cohort Description.

BACKGROUND: The EU LifeCycle Project was launched in 2017 to combine, harmonize, and analyze data from more than 250,000 participants across Europe and Australia, involving cohorts participating in the EU-funded LifeCycle Project. The purpose of this cohort description is to provide a detailed overview of the major measures within mental health domains that are available in 17 European and Australian cohorts participating in the LifeCycle Project. METHODS: Data on cognitive, behavioral, and psychological development has been collected on participants from birth until adulthood through questionnaire and medical data. We developed an inventory of the available data by mapping individual instruments, domain types, and age groups, providing the basis for statistical harmonization across mental health measures. RESULTS: The mental health data in LifeCycle contain longitudinal and cross-sectional data from birth throughout the life course, covering domains across a wide range of behavioral and psychopathology indicators and outcomes, including executive function, depression, ADHD, and cognition. These data span a unique combination of qualitative data collected through behavioral/cognitive/mental health questionnaires and examination, as well as data from biological samples and indices in the form of imaging (MRI, fetal ultrasound) and DNA methylation data. Harmonized variables on a subset of mental health domains have been developed, providing statistical equivalence of measures required for longitudinal meta-analyses across instruments and cohorts. CONCLUSION: Mental health data harmonized through the LifeCycle project can be used to study life-course trajectories and exposure-outcome models that examine early life risk factors for mental illness and develop predictive markers for later-life disease.

Characteristics and predictors of off-label use of antipsychotics in general population sample.

OBJECTIVE: Increasing number of people have been prescribed antipsychotics (APs) off-label in recent decades. This study aimed to identify the characteristics and predictors of receiving prescription of antipsychotics off-label. METHODS: The study sample was part of the Northern Finland Birth Cohort 1966 (n = 7071). Data included questionnaires and national register data. Information on prescribed medications was extracted from the national register. The sample was divided into three groups: Persons who had been prescribed APs off-label (n = 137), individuals with non-psychotic mental disorders without APs off label (n = 1478) and individuals who had been diagnosed with psychosis or bipolar disorder and who had been prescribed APs (n = 151). We compared sociodemographic, lifestyle and clinical characteristics between the off-label and the comparison groups using logistic regression. RESULTS: The most common diagnoses in the off-label group were depression (n = 96, 70.1%) and anxiety (n = 55, 40.1%). Compared with individuals with non-psychotic mental disorders who were not prescribed APs off-label, individuals with prescribed off-label APs had a lower level of education, lower socioeconomic status, were less often married, had a higher level of somatic and psychiatric morbidity, were more often smokers and more often had a substance abuse disorder and heavy alcohol consumption. When comparing the off-label group to individuals with psychosis or bipolar disorder who used APs, there were less differences, though individuals with psychosis or bipolar disorder had more markers of morbidity and a lower level of education. CONCLUSION: Individuals who had been prescribed APs off label had a higher level of mental and somatic morbidity and poorer socioeconomic status than individuals with non-psychotic mental disorders who did not use APs.

Psychosocial determinants for adherence to a healthy lifestyle and intervention participation in the FINGER trial: an exploratory analysis of a randomised clinical trial.

BACKGROUND AND AIMS: Psychosocial factors may affect adherence to lifestyle interventions and lifestyle changes. The role of psychosocial factors in dementia prevention needs more research. We aimed at clarify the issue in the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER). METHODS: The population included 1260 participants aged 60-77 years at risk for cognitive decline, randomised to a multidomain lifestyle intervention or regular health advice for 2 years. Adherence was evaluated as participation in the provided activities and actual lifestyle changes, separately for each domain (diet, exercise, social/cognitive activity, vascular risk management) and combined into multidomain. Psychosocial factors were measured at trial baseline (depressive symptoms; study perception; health-related quality of life, HRQoL) and earlier life (hopelessness; satisfaction with family life, achievements, and financial situation). RESULTS: Depressive symptoms, hopelessness, and nonpositive study perception were negatively and HRQoL positively associated with participation in the multidomain intervention. Depressive symptoms, lower HRQoL, hopelessness and dissatisfaction with financial situation were associated with unhealthier lifestyles at baseline. Baseline depressive symptoms and lower HRQoL predicted less improvement in lifestyle, but did not modify the intervention effect on lifestyle change. DISCUSSION AND CONCLUSIONS: Several psychosocial factors were associated with participation in lifestyle intervention, while fewer of them contributed to lifestyle changes. Although the intervention was beneficial for lifestyle changes independent of psychosocial factors, those most in need of lifestyle improvement were less likely to be active. Tailoring lifestyle-modifying strategies based on the need for psychosocial support may add efficacy in future trials. TRIAL REGISTRY: ClinicalTrials.gov NCT01041989 2010-01-05.

The EU Child Cohort Network's core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables.

The Horizon2020 LifeCycle Project is a cross-cohort collaboration which brings together data from multiple birth cohorts from across Europe and Australia to facilitate studies on the influence of early-life exposures on later health outcomes. A major product of this collaboration has been the establishment of a FAIR (findable, accessible, interoperable and reusable) data resource known as the EU Child Cohort Network. Here we focus on the EU Child Cohort Network's core variables. These are a set of basic variables, derivable by the majority of participating cohorts and frequently used as covariates or exposures in lifecourse research. First, we describe the process by which the list of core variables was established. Second, we explain the protocol according to which these variables were harmonised in order to make them interoperable. Third, we describe the catalogue developed to ensure that the network's data are findable and reusable. Finally, we describe the core data, including the proportion of variables harmonised by each cohort and the number of children for whom harmonised core data are available. EU Child Cohort Network data will be analysed using a federated analysis platform, removing the need to physically transfer data and thus making the data more accessible to researchers. The network will add value to participating cohorts by increasing statistical power and exposure heterogeneity, as well as facilitating cross-cohort comparisons, cross-validation and replication. Our aim is to motivate other cohorts to join the network and encourage the use of the EU Child Cohort Network by the wider research community.

Long-term outcomes of lifestyle intervention to prevent type 2 diabetes in people at high risk in primary health care.

AIMS: The Finnish National Diabetes Prevention Program (FIN-D2D) was the first large-scale diabetes prevention program in a primary health care setting in the world. The risk reduction of type 2 diabetes was 69% after one-year intervention in high-risk individuals who were able to lose 5% of their weight. We investigated long-term effects of one-year weight change on the incidence of type 2 diabetes, cardiovascular events, and all-cause mortality. METHODS: A total of 10,149 high-risk individuals for type 2 diabetes were identified in primary health care centers and they were offered lifestyle intervention to prevent diabetes. Of these individuals who participated in the baseline screening, 8353 had an oral glucose tolerance test (OGTT). Complete follow-up data during one-year intervention were available for 2730 individuals and those were included in the follow-up analysis. The long-term outcome events were collected from national health registers after the median follow-up of 7.4 years. RESULTS: Among individuals who lost weight 2.5-4.9% and 5% or more during the first year, the hazard ratio for the incidence of drug-treated diabetes was 0.63 (95% CI 0.49-0.81, p = 0.0001), and 0.71 (95% CI 0.56-0.90, p = 0.004), respectively, compared with those with stable weight. There were no significant differences in cardiovascular events or all-cause mortality among study participants according to one-year weight changes. CONCLUSIONS: High-risk individuals for type 2 diabetes who achieved a moderate weight loss by one-year lifestyle counseling in primary health care had a long-term reduction in the incidence of drug-treated type 2 diabetes. The observed moderate weight loss was not associated with a reduction in cardiovascular events.

Understanding the cumulative risk of maternal prenatal biopsychosocial factors on birth weight: a DynaHEALTH study on two birth cohorts.

BACKGROUND: There are various maternal prenatal biopsychosocial (BPS) predictors of birth weight, making it difficult to quantify their cumulative relationship. METHODS: We studied two birth cohorts: Northern Finland Birth Cohort 1986 (NFBC1986) born in 1985-1986 and the Generation R Study (from the Netherlands) born in 2002-2006. In NFBC1986, we selected variables depicting BPS exposure in association with birth weight and performed factor analysis to derive latent constructs representing the relationship between these variables. In Generation R, the same factors were generated weighted by loadings of NFBC1986. Factor scores from each factor were then allocated into tertiles and added together to calculate a cumulative BPS score. In all cases, we used regression analyses to explore the relationship with birth weight corrected for sex and gestational age and additionally adjusted for other factors. RESULTS: Factor analysis supported a four-factor structure, labelled closely to represent their characteristics as 'Factor1-BMI' (body mass index), 'Factor2-DBP' (diastolic blood pressure), 'Factor3-Socioeconomic-Obstetric-Profile' and 'Factor4-Parental-Lifestyle'. In both cohorts, 'Factor1-BMI' was positively associated with birth weight, whereas other factors showed negative association. 'Factor3-Socioeconomic-Obstetric-Profile' and 'Factor4-Parental-Lifestyle' had the greatest effect size, explaining 30% of the variation in birth weight. Associations of the factors with birth weight were largely driven by 'Factor1-BMI'. Graded decrease in birth weight was observed with increasing cumulative BPS score, jointly evaluating four factors in both cohorts. CONCLUSION: Our study is a proof of concept for maternal prenatal BPS hypothesis, highlighting the components snowball effect on birth weight in two different European birth cohorts.

Early exposure to social disadvantages and later life body mass index beyond genetic predisposition in three generations of Finnish birth cohorts.

BACKGROUND: The study aimed to explore the association between early life and life-course exposure to social disadvantage and later life body mass index (BMI) accounting for genetic predisposition and maternal BMI. METHODS: We studied participants of Helsinki Birth Cohort Study born in 1934-1944 (HBCS1934-1944, n = 1277) and Northern Finland Birth Cohorts born in 1966 and 1986 (NFBC1966, n = 5807, NFBC1986, n = 6717). Factor analysis produced scores of social disadvantage based on social and economic elements in early life and adulthood/over the life course, and was categorized as high, intermediate and low. BMI was measured at 62 years in HBCS1934-1944, at 46 years in NFBC1966 and at 16 years in NFBC1986. Multivariable linear regression analysis was used to explore associations between social disadvantages and BMI after adjustments for polygenic risk score for BMI (PRS BMI), maternal BMI and sex. RESULTS: The association between exposure to high early social disadvantage and increased later life BMI persisted after adjustments (ß = 0.79, 95% CI, 0.33, 1.25, p < 0.001) in NFBC1966. In NFBC1986 this association was attenuated by PRS BMI (p = 0.181), and in HBCS1934-1944 there was no association between high early social disadvantage and increased later life BMI (ß 0.22, 95% CI -0.91,1.35, p = 0.700). In HBCS1934-1944 and NFBC1966, participants who had reduced their exposure to social disadvantage during the life-course had lower later life BMI than those who had increased their exposure (ß - 1.34, [- 2.37,-0.31], p = 0.011; ß - 0.46, [- 0.89,-0.03], p = 0.038, respectively). CONCLUSIONS: High social disadvantage in early life appears to be associated with higher BMI in later life. Reducing exposure to social disadvantage during the life-course may be a potential pathway for obesity reduction.

Early environmental factors and somatic comorbidity in schizophrenia and nonschizophrenic psychoses: A 50-year follow-up of the Northern Finland Birth Cohort 1966.

BACKGROUND: We studied the cumulative incidence of physical illnesses, and the effect of early environmental factors (EEFs) on somatic comorbidity in schizophrenia, in nonschizophrenic psychosis and among nonpsychotic controls from birth up to the age of 50 years. METHODS: The sample included 10,933 members of the Northern Finland Birth Cohort 1966, of whom, 227 had schizophrenia and 205 had nonschizophrenic psychosis. Diagnoses concerning physical illnesses were based on nationwide registers followed up to the end of 2016 and classified into 13 illness categories. Maternal education and age, family type at birth and paternal socioeconomic status were studied as EEFs of somatic illnesses. RESULTS: When adjusted by gender and education, individuals and especially women with nonschizophrenic psychosis had higher risk of morbidity in almost all somatic illness categories compared to controls, and in some categories, compared to individuals with schizophrenia. The statistically significant adjusted hazard ratios varied from 1.27 to 2.42 in nonschizophrenic psychosis. Regarding EEFs, single-parent family as the family type at birth was a risk factor for a higher somatic score among men with schizophrenia and women with nonschizophrenic psychosis. Maternal age over 35 years was associated with lower somatic score among women with nonschizophrenic psychosis. CONCLUSIONS: Persons with nonschizophrenic psychoses have higher incidence of somatic diseases compared to people with schizophrenia and nonpsychotic controls, and this should be noted in clinical work. EEFs have mostly weak association with somatic comorbidity in our study.

Glucose metabolism in midlife predicts participation in working life: a Northern Finland Birth Cohort 1966 study.

OBJECTIVE: To evaluate how clinically measured glucose metabolism categories predict registered participation in working life. METHODS: In the 46-year follow-up of Northern Finland Birth Cohort 1966 (n=5328, 2342 men and 2986 women), we used oral glucose tolerance tests, surveys and glycated haemoglobin to determine glucose metabolism categorised as normal, pre-diabetes, screen-detected and previous type 2 diabetes (T2D). Consequent participation in working life during the 2-year follow-up period was measured as registered disability, unemployment and employment days, for which incidence rate ratios (IRRs) with 95% CIs were calculated using Poisson regression, adjusted for baseline employment and socioeconomic, health-related and behavioural factors. RESULTS: In comparison to normal glucose, all categories of impaired glucose metabolism were associated with poorer participation in working life in the unadjusted models. After adjustments, the risks (IRR (95% CI)) of disability days remained heightened by both screen-detected and previous T2D among men (1.3 (1.3 to 1.4) and 1.5 (1.4 to 1.5), respectively), whereas among women the risks were lowered (0.9 (0.8 to 0.9) and 0.9 (0.9 to 1.0), respectively). The risks of unemployment were consistently higher in all categories of impaired glucose metabolism, and were the highest among women with previous T2D (1.6 (1.5 to 1.6)). Correspondingly, the rates of total employment days were lower in relation to screen-detected T2D among men and women (5% and 6%, respectively), and previous T2D (6% and 3%). CONCLUSIONS: Overall, impaired glucose metabolism associated with deteriorated working life participation already in middle age. The high prevalence of impaired glucose metabolism emphasises the need for actions to support sustainable working careers.

Psychiatric research in the Northern Finland Birth Cohort 1986 - a systematic review.

The Northern Finland Birth Cohort 1986 is a large population-based birth cohort, which aims to promote health and wellbeing of the population. In this paper, we systematically review the psychiatric research performed in the cohort until today, i.e. at the age of 32 years of the cohort (2018). We conducted a systematic literature search using the databases of PubMed and Scopus and complemented it with a manual search. We found a total of 94 articles, which were classified as examining ADHD, emotional and behavioural problems, psychosis risk or other studies relating to psychiatric subjects. The articles are mainly based on two large comprehensive follow-up studies of the cohort and several substudies. The studies have often used also nationwide register data. The studies have found several early predictors for the aforementioned psychiatric outcomes, such as problems at pregnancy and birth, family factors in childhood, physical inactivity and substance use in adolescence. There are also novel findings relating to brain imaging and cognition, for instance regarding familial risk of psychosis in relation to resting state functional MRI. The Northern Finland Birth Cohort 1986 has been utilised frequently in psychiatric research and future data collections are likely to lead to new scientifically important findings. Abbreviations: attention deficit hyperactivity disorder (ADHD); magnetic resonance imaging (MRI).

Understanding the complexity of glycaemic health: systematic bio-psychosocial modelling of fasting glucose in middle-age adults; a DynaHEALTH study.

BACKGROUND: The prevention of the risk of type 2 diabetes (T2D) is complicated by multidimensional interplays between biological and psychosocial factors acting at the individual level. To address the challenge we took a systematic approach, to explore the bio-psychosocial predictors of blood glucose in mid-age. METHODS: Based on the 31-year and 46-year follow-ups (5,078 participants, 43% male) of Northern Finland Birth Cohort 1966, we used a systematic strategy to select bio-psychosocial variables at 31 years to enable a data-driven approach. As selection criteria, the variable must be (i) a component of the metabolic syndrome or an indicator of psychosocial health using WHO guidelines, (ii) easily obtainable in general health check-ups and (iii) associated with fasting blood glucose at 46 years (P < 0.10). Exploratory and confirmatory factor analysis were used to derive latent factors, and stepwise linear regression allowed exploration of relationships between factors and fasting glucose. RESULTS: Of all 26 variables originally considered, 19 met the selection criteria and were included in an exploratory factor analysis. Two variables were further excluded due to low loading (<0.3). We derived four latent factors, which we named as socioeconomic, metabolic, psychosocial and blood pressure status. The combination of metabolic and psychosocial factors, adjusted for sex, provided best prediction of fasting glucose at 46 years (explaining 10.7% of variation in glucose; P < 0.001). Regarding different bio-psychosocial pathways and relationships, the importance of psychosocial factors in addition to established metabolic risk factors was highlighted. CONCLUSIONS: The present study supports evidence for the bio-psychosocial nature of adult glycemic health and exemplifies an evidence-based approach to model the bio-psychosocial relationships. The factorial model may help further research and public health practice in focusing also on psychosocial aspects in maintaining normoglycaemia in the prevention of cardio-metabolic diseases.

Living environment and its relationship to depressive mood: A systematic review.

BACKGROUND AND AIMS: The notion that environment affects mental health has a long history; in this systematic review, we aimed to study whether the living environment is related to depressive mood. METHODS: We searched databases of PubMed, Scopus and Web of Science for population-based original studies prior to October 2016. We included studies that measured depressive symptoms or depression and had measures of urbanization, population density, aesthetics of living environment, house/built environment, green areas, walkability, noise, air pollution or services. RESULTS: Out of 1,578 articles found, 44 studies met our inclusion criteria. Manual searches of the references yielded 13 articles, resulting in 57 articles being included in the systematic review. Most of the studies showed statistically significant associations with at least one of the characteristics of living environment and depressive mood. House and built environment with, for example, poor housing quality and non-functioning, lack of green areas, noise and air pollution were more clearly related to depressive mood even after adjustment for different individual characteristics. On the contrary, the results in relation to population density, aesthetics and walkability of living environment, and availability of services and depressive mood were more inconsistent. CONCLUSION: Adverse house/built environment, including poor housing quality and non-functioning, lack of green spaces, noise and air pollution are related to depressive mood and should be taken into account during planning in order to prevent depressive mood.

The association of unemployment with glucose metabolism: a systematic review and meta-analysis.

OBJECTIVES: Unemployment has been linked with poor health. We hypothesized that being unemployed is associated with disorders of glucose metabolism and performed a systematic review and meta-analysis of the literature to ascertain the relationship. METHODS: We searched the databases of Scopus, Medline Ovid and Web of Science for population-based original studies for past 20 years. Random effects meta-analyses were used to estimate odds ratios (OR) with 95% confidence intervals (CI) for prediabetes and type 2 diabetes among the unemployed as compared to those employed, separately for men and women when possible. RESULTS: Out of 981 articles found, 12 articles were included in the systematic review and eight articles in the meta-analyses. Unemployment was associated with 1.6-fold odds for prediabetes (OR 1.58; 95% CI 1.07-2.35), and 1.7-fold odds for type 2 diabetes (OR 1.72; 95% CI 1.14-2.58) in the total sample. The corresponding associations for type 2 diabetes were also found stratified for men (OR 1.53; 95% CI 1.47-1.60) and women (OR 1.60; 95% CI 1.33-1.92). CONCLUSIONS: Unemployment is associated with prediabetes and type 2 diabetes, global concerns of public health with potential for prevention.

Accumulated exposure to unemployment is related to impaired glucose metabolism in middle-aged men: A follow-up of the Northern Finland Birth Cohort 1966.

AIMS: We explored whether registered unemployment is associated with impaired glucose metabolism in general population. METHODS: Based on Northern Finland Birth Cohort 1966 at 46 years, we analyzed the oral glucose tolerance tests of 1970 men and 2544 women in relation to their preceding three-year employment records in three categories of unemployment exposure: no (employed), low (≤1-year) and high exposure (>1-year). RESULTS: Among men, pre-diabetes was found in 19.2% of those with no unemployment, 23.0% with low and 27.0% with high exposure, the corresponding figures for screen-detected type 2 diabetes were 3.8%, 3.8% and 9.2% (p<0.01). Among women, analogous figures for pre-diabetes were 10.0%, 12.6% and 16.2% and for screen-detected type 2 diabetes 1.7%, 3.4% and 3.6% (p<0.01). Men with high exposure to unemployment had a higher risk for pre-diabetes (OR 1.61, CI 95% 1.03-2.51) and screen-detected type 2 diabetes (OR 2.58 95% CI 1.23-5.44) than employed men, after adjustment for education, smoking, alcohol intake, physical activity and body mass index. Among women, associations were attenuated in the adjusted models. CONCLUSIONS: High exposure to unemployment may predispose to type 2 diabetes in middle-aged men. For clinicians, awareness of the patient's unemployment status may be helpful in recognizing undiagnosed cases.

Do adverse perinatal events predict mortality in schizophrenia during midlife?

BACKGROUND: We examined mortality in schizophrenia spectrum disorder (SSD) and non-schizophrenic psychosis (NSSD) compared to individuals without psychosis, and whether perinatal factors predict mortality. METHODS: Within Northern Finland Birth Cohort 1966 (n=10 933; 203 with SSD, 178 with NSSD), mortality was followed until end of 2011 by national register. Wantedness of pregnancy, mother's antenatal depression, smoking and age, parity, paternal socio-economic status (SES) and family type at birth were examined as predictors of mortality. RESULTS: Mortality was higher in SSD (hazard ratio (HR) 3.60; 95% confidence interval (CI) 2.38-5.45) and NSSD (4.05; 2.65-6.17) compared to persons without psychoses after adjustment for gender. HR for natural death was 2.01 (0.82-4.91) in SSD and 4.63 (2.43-8.80) in NSSD after adjustment for gender. Corresponding figures for unnatural deaths were 4.71 (2.94-7.54) and 2.94 (1.56-5.55), respectively. Among non-psychotic persons, mother's depression, smoking and low SES predicted mortality after adjustment for gender and parental psychoses (and SES), whereas among psychosis those whose father was a farmer had lower risk of mortality compared to those with high SES. CONCLUSIONS: Individuals with SSD had a higher risk of unnatural death and individuals with NSSD of natural and unnatural deaths. Perinatal factors seem to be more important predictors of mortality in individuals without psychoses than with psychoses. According to population-based long follow-up data, it is important to pay attention to somatic morbidity behind natural causes of death in psychoses and to prevent suicides in order to prevent excess mortality.

Prognosis of schizophrenia spectrum disorder may not be predetermined during early development--the Northern Finland Birth Cohort 1966.

BACKGROUND: Little is known about whether factors during the first years of life predict later outcomes in schizophrenia spectrum disorder (SSD). As part of the Northern Finland Birth Cohort 1966, we examined if prospectively collected early parenthood-related and developmental factors predict employment and hospitalization in individuals with and without SSD. METHODS: Overall, 161 individuals with SSD and 10,116 without SSD were included in the study. Outcomes were analysed at age of 44-45years, defining "employment" as being employed for at least 25% of working days and "hospitalization" as having psychiatric hospitalization at least once during the last two years of follow-up. Maternal age, wantedness of pregnancy, grand multiparity, parental psychoses, birth weight, birth height, age of standing up and standing and walking without support were analysed as predictors. RESULTS: Of the individuals with SSD, only 11.2% were employed, although 77.6% remained not hospitalized. In individuals with SSD, only young maternal age was associated with lower probability (OR 0.25, CI 0.08-0.77) of being non-hospitalized after controlling for sex and onset age of illness. Among persons without SSD, almost all parenthood-related and developmental factors were related to employment, while grand multiparity and parental psychosis were related to hospitalization after controlling for sex. CONCLUSIONS: Only one of the early parenthood-related and developmental factors analysed in this study predicted outcome in individuals with SSD, while among those without SSD almost all factors were related to employment. Thus, prognosis of SSD does not seem to be predetermined much by early development.