A comprehensive analysis of age of onset and cumulative incidence of mental disorders: A Danish register study.

BACKGROUND: The age of onset (AOO), incidence and cumulative incidence of mental disorders are critical epidemiological measures, providing essential insights into the development and course of these disorders across the lifespan. This study aims to provide up-to-date estimates of the AOO, age-specific incidence, and cumulative incidence for a comprehensive range of mental disorders using data from Danish registers. METHODS: We conducted a follow-up study encompassing all Danish residents from January 1, 2004, to December 31, 2021, totaling 91,613,465 person-years. Data were sourced from the Danish Psychiatric Central Research Register, identifying individuals treated for various mental disorders in psychiatric hospitals, outpatient departments, and accident/emergency departments, that is, treated in secondary care settings. We investigated specific categories of mental disorders, including substance abuse disorders, schizophrenia, mood disorders, anxiety, eating disorders, borderline personality disorders, intellectual disabilities, pervasive developmental disorders, and behavioral and emotional disorders. Age-sex-specific incidence rates were estimated using Poisson generalized linear models, and cumulative incidence was calculated using Aalen-Johansen's competing risks model. The study provides estimates of AOO, incidence, and cumulative incidence for various mental disorders, including their age and sex distributions. RESULTS: The cumulative incidence by age 80 years for any mental disorder was 30.72% (95% confidence interval: 30.62%-30.83%) for males and 34.46% (34.35%-34.57%) for females. The most common types of mental disorders were anxiety-related disorders 16.27% (16.19%-16.36%) for males and 23.39% (23.29%-23.50%) for females, and followed by mood disorder 10.34% (10.27%-10.41%) for males and 16.67% (16.58%-16.77%) for females. For those who develop mental disorder, half will have developed their disorder by approximately age 22 years (median and interquartile range: males 21.37 (11.85-36.00); females 22.55 (16.31-36.08)). CONCLUSIONS: Approximately one in three individuals will seek treatment for at least one mental disorder in a secondary care setting by age 80. Given that half of these individuals develop mental disorders before age 22, it is crucial to tailor service planning to meet the specific needs of young individuals. Web-based interactive data-visualization tools are provided for clinical utility.

The correlates of neonatal complement component 3 and 4 protein concentrations with a focus on psychiatric and autoimmune disorders.

Complement components have been linked to schizophrenia and autoimmune disorders. We examined the association between neonatal circulating C3 and C4 protein concentrations in 68,768 neonates and the risk of six mental disorders. We completed genome-wide association studies (GWASs) for C3 and C4 and applied the summary statistics in Mendelian randomization and phenome-wide association studies related to mental and autoimmune disorders. The GWASs for C3 and C4 protein concentrations identified 15 and 36 independent loci, respectively. We found no associations between neonatal C3 and C4 concentrations and mental disorders in the total sample (both sexes combined); however, post-hoc analyses found that a higher C3 concentration was associated with a reduced risk of schizophrenia in females. Mendelian randomization based on C4 summary statistics found an altered risk of five types of autoimmune disorders. Our study adds to our understanding of the associations between C3 and C4 concentrations and subsequent mental and autoimmune disorders.

Genetic and psychosocial influence on the association between early childhood infections and later psychiatric disorders.

OBJECTIVE: To evaluate the influence of extensive genetic and psychosocial confounding on the association between early childhood infection and five major psychiatric disorders METHODS: A case-cohort study including participants from the Danish iPSYCH2012 sample, a case-cohort sample where all cases born between May 1, 1981, and December 31, 2005, diagnosed with attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar affective disorder (BIP), Major Depressive Disorder (MDD) or schizophrenia (SCZ), were identified and pooled with a representative sample (subcohort) of the Danish population. We used Cox proportional hazards regression customized to the case-cohort setup to calculate hazard ratios of outcome with 95% confidence intervals (CIs), following exposure to early childhood infection before the age of 5 years for ADHD and ASD, and before the age of 10 years for BIP, MDD, and SCZ. To evaluate psychosocial confounding we included sex, calendar period, sibling infections, urbanicity, parental socio-economic status, parental mental health information, and polygenic risk scores for all five disorders, as covariates. To estimate how liability for psychiatric disorders measured through the PRS influenced the risk of early childhood infection, we calculated odds ratios (ORs) with 95% CIs, using logistic regression RESULTS: Early childhood infection was associated with ADHD, ASD, MDD, and SCZ with number of childhood infections increasing the hazard. The HR was still significant in the model with full adjustments after 1 infection for ADHD (HR 1.29, 95% CI: 1.19-1.41), ASD (HR 1.28, 95% CI: 1.18-1.40), MDD (HR 1.23, 95% CI: 1.14-1.33), and SCZ (HR 1.21, 95% CI: 1.07-1.36), but not for BIP (HR1.17, 95% CI: 0.96-1.42). Probands exposed to sibling infections, but not own infection had an absolute risk of ADHD, BIP, MDD, and SCZ that closely approached the absolute risk for individuals exposed to own infections. We found evidence of gene-environment correlation with higher PRS of MDD and to some extent SCZ increasing the risk of infections and higher PRS of BIP associated with significantly decreased risk CONCLUSION: Early childhood infection is significantly associated with ADHD, ASD, MDD, and SCZ and not explained by genetic or psychosocial confounding. Although we found evidence of gene-environment correlation, it had minor impact on the results.

Cause-specific life years lost in individuals with treatment-resistant depression: A Danish nationwide register-based cohort study.

BACKGROUND: Depression is associated with excess mortality, but it is not known how treatment-resistance influences life expectancy. We estimated cause-specific excess mortality and Life Years Lost (LYL) in patients with treatment-resistant depression (TRD). METHODS: The population included all individuals born and living in Denmark who redeemed their first prescription for an antidepressant at age 18-69 years between 2005 and 2012, identified in the Danish National Prescription Registry. TRD was defined as at least two additional and different antidepressant trials within two years. Mortality rate ratios (MRRs) were estimated with Cox regression adjusted for age at first prescription, calendar year and comorbidity. Differences in life expectancy were estimated by the Life Years Lost (LYL) method. RESULTS: The cohort included 154,513 first-time pharmacologically treated patients with depression, of whom 8,294 (5.4%) were identified as having TRD. Patients were followed for 1,032,245 person-years during which 9,795 deaths occurred. Men and women with TRD had significantly higher mortality than non-TRD (aMRR: 1.34, 95% CI 1.18-1.52 and aMRR: 1.39, 95% CI 1.19-1.63, respectively). Life expectancy for men and women with TRD was 1.21 (95% CI 0.36-2.44) and 1.24 (95% CI 0.35-2.34) years shorter than in all patients with depression. Suicide accounted for the majority of excess LYL, with 1.10 (95% CI 0.46-1.61) years in men and 0.82 (95% CI 0.44-1.27) years in women with TRD. LIMITATIONS: Using redeemed prescriptions to define TRD may increase the risk of misclassification. CONCLUSIONS: Patients not responding adequately to several treatment trials are at increased risk for premature death, particularly suicide.

Early labor force exits in patients with treatment-resistant depression: an assessment of work years lost in a Danish nationwide register-based cohort study.

BACKGROUND: Depression is one of the leading causes of premature workforce exit in many Western countries, but little is known about the extent to which treatment-resistance reduces number of work-years. We compared the risk of premature workforce exit among patients with treatment-resistant depression (TRD) relative to non-TRD patients and estimated work years lost (WYL) before scheduled retirement age. METHODS: The study population, identified in the Danish National Prescription Registry, included all individuals born and living in Denmark who redeemed their first antidepressant (AD) prescription for depression at age 18-60 years between 2005 and 2012. TRD was defined as failure to respond to at least two different treatment trials. Premature workforce exit was measured using disability pension records. We used Cox regression to estimate the hazard ratio (HR) for premature workforce exit in TRD relative to non-TRD patients, adjusting for calendar year, psychiatric and somatic comorbidity, and educational level. Differences in WYL in patients with TRD and all depression patients were estimated through a competing risks model. RESULTS: Out of the total sample of patients with depression (N = 129,945), 7478 (5.75%) were classified as having TRD. During follow up, 17% of patients with TRD and 8% of non-TRD patients received disability pension, resulting in a greater than three-fold larger risk of premature workforce exit [adjusted HR (aHR) 3.23 95% confidence interval (CI) 3.05-3.43]. The TRD group lost on average six work-years (95% CI 5.64-6.47) more than the total sample due to early labor force exit. The association between TRD and age at premature workforce exit was inversely U-shaped; the hazard rate of premature workforce exit for patients with TRD compared with non-TRD patients was highest in the age groups 31-35, 36-40, and 41-45 years. CONCLUSION: Patients with TRD constitute a small group within depression patients, but contribute disproportionally to societal costs due to premature workforce exit at a young age.

Association between Mental Disorders and Subsequent Medical Conditions.

BACKGROUND: Persons with mental disorders are at a higher risk than the general population for the subsequent development of certain medical conditions. METHODS: We used a population-based cohort from Danish national registries that included data on more than 5.9 million persons born in Denmark from 1900 through 2015 and followed them from 2000 through 2016, for a total of 83.9 million person-years. We assessed 10 broad types of mental disorders and 9 broad categories of medical conditions (which encompassed 31 specific conditions). We used Cox regression models to calculate overall hazard ratios and time-dependent hazard ratios for pairs of mental disorders and medical conditions, after adjustment for age, sex, calendar time, and previous mental disorders. Absolute risks were estimated with the use of competing-risks survival analyses. RESULTS: A total of 698,874 of 5,940,299 persons (11.8%) were identified as having a mental disorder. The median age of the total population was 32.1 years at entry into the cohort and 48.7 years at the time of the last follow-up. Persons with a mental disorder had a higher risk than those without such disorders with respect to 76 of 90 pairs of mental disorders and medical conditions. The median hazard ratio for an association between a mental disorder and a medical condition was 1.37. The lowest hazard ratio was 0.82 for organic mental disorders and the broad category of cancer (95% confidence interval [CI], 0.80 to 0.84), and the highest was 3.62 for eating disorders and urogenital conditions (95% CI, 3.11 to 4.22). Several specific pairs showed a reduced risk (e.g., schizophrenia and musculoskeletal conditions). Risks varied according to the time since the diagnosis of a mental disorder. The absolute risk of a medical condition within 15 years after a mental disorder was diagnosed varied from 0.6% for a urogenital condition among persons with a developmental disorder to 54.1% for a circulatory disorder among those with an organic mental disorder. CONCLUSIONS: Most mental disorders were associated with an increased risk of a subsequent medical condition; hazard ratios ranged from 0.82 to 3.62 and varied according to the time since the diagnosis of the mental disorder. (Funded by the Danish National Research Foundation and others; COMO-GMC ClinicalTrials.gov number, NCT03847753.).

Paternal-age-related de novo mutations and risk for five disorders.

There are established associations between advanced paternal age and offspring risk for psychiatric and developmental disorders. These are commonly attributed to genetic mutations, especially de novo single nucleotide variants (dnSNVs), that accumulate with increasing paternal age. However, the actual magnitude of risk from such mutations in the male germline is unknown. Quantifying this risk would clarify the clinical significance of delayed paternity. Using parent-child trio whole-exome-sequencing data, we estimate the relationship between paternal-age-related dnSNVs and risk for five disorders: autism spectrum disorder (ASD), congenital heart disease, neurodevelopmental disorders with epilepsy, intellectual disability and schizophrenia (SCZ). Using Danish registry data, we investigate whether epidemiologic associations between each disorder and older fatherhood are consistent with the estimated role of dnSNVs. We find that paternal-age-related dnSNVs confer a small amount of risk for these disorders. For ASD and SCZ, epidemiologic associations with delayed paternity reflect factors that may not increase with age.

Childhood infections and schizophrenia: The impact of parental SES and mental illness, and childhood adversities.

Childhood infection has been proposed as an important etiologic factor for schizophrenia. However, it is unclear to what extent the association between childhood infection and schizophrenia is confounded by parental socioeconomic status and mental illness, and childhood adversity, and whether the association is explained by familial liability for infections. We used a historical, population-based cohort design, selecting all singletons born in Denmark between 1981 and 1998 (n = 882,813). We identified exposure to infection as having been hospitalized with an infection in the Danish national registers. Data from a range of population-based registers were used to construct a childhood adversity index. The index included the following adversities: family disruption, parental incarceration, parental chronic somatic disease, death of a parent, parent permanently outside of workforce, childhood abuse and placement in out-of-home care. We also assessed parental socioeconomic status and mental illness. Multiple admissions with infections during childhood increased the risk of schizophrenia with an Incidence Rate Ratio (IRR) of 1.28 (95% CI: 1.19-1.38) for 1 infection to an IRR of 1.43 (95% CI: 1.30-1.58) for 2-3 infections and an IRR of 1.95 (95% CI: 1.66-2.29) for ≥4 infections. Parental socioeconomic status and mental illness, and childhood adversities increased the odds of acquiring childhood infections and was associated with schizophrenia, but did not explain the results. Similarly did familial liability for infection increase the risk of schizophrenia, but did not explain the association between infection and schizophrenia. Parental mental health modified the association between childhood infection and schizophrenia (p-value 0.02), and we found no significant effect of childhood infection in those with propensity for psychotic disorders.

Polygenic Risk Scores, School Achievement, and Risk for Schizophrenia: A Danish Population-Based Study.

BACKGROUND: Studies have suggested that poor school achievement is associated with increased risk of schizophrenia; however, the possible genetic contribution to this association is unknown. We investigated the possible effect of the polygenic risk score (PRS) for schizophrenia (PRSSCZ) and for educational attainment (PRSEDU) on the association between school performance and later schizophrenia. METHODS: We conducted a case-cohort study on a Danish population-based sample born from 1987 to 1995 comprising 1470 individuals with schizophrenia and 7318 subcohort noncases. Genome-wide data, school performance, and family psychiatric and socioeconomic background information were obtained from national registers and neonatal biobanks. PRSSCZ and PRSEDU were calculated using discovery effect size estimates from a meta-analysis of 34,600 cases and 45,968 controls and 293,723 individuals. RESULTS: Higher PRSSCZ increased the risk (incidence rate ratio [IRR]: 1.28; 95% confidence interval [CI], 1.19-1.36), whereas higher PRSEDU decreased the risk of schizophrenia (IRR, 0.87; 95% CI, 0.82-0.92) per standard deviation. Not completing primary school and receiving low school marks were associated with increased risk of schizophrenia (IRR, 2.92; 95% CI, 2.37-3.60; and IRR, 1.58; 95% CI, 1.27-1.97, respectively), which was not confounded by PRSSCZ or PRSEDU. Adjusting for social factors and parental psychiatric history, effects of not completing primary school and receiving low school marks were attenuated by up to 25% (IRR, 2.19; 95% CI, 1.75-2.73; and IRR, 1.39; 95% CI, 1.11-1.75, respectively). Increasing PRSEDU correlated with better school performance (p < .01; R2 = 7.6%). PRSSCZ and PRSEDU was significantly negatively correlated (r = -.31, p < .01). CONCLUSIONS: The current PRS did not account for the observed association between primary school performance and risk of schizophrenia.

Prescription drug use in pregnancy and variations according to prior psychiatric history.

PURPOSE: Prescription drug use during pregnancy has increased during the past decades. However, little is known about prescription drug use for high-risk pregnancies. We aimed to estimate the prevalence of redeemed prescriptions in Danish pregnant women with and without previous psychiatric history. METHODS: A Danish population-based descriptive study of 981 392 pregnancies ending in live-born singletons by 586 988 women aged 15 to 55 years between 1997 and 2012, of which 113 449 (11.6%) pregnancies were by women with a psychiatric history prior to the index pregnancy. All prescription drugs redeemed during pregnancy were identified, and dispensing patterns among the women were reported by therapeutic classes of drugs, calendar year of childbirth, and trimester. RESULTS: Overall, women with psychiatric history prior to pregnancy were more likely to fill a prescription (75.8%; 95% confidence interval [CI], 75.5-76.0%), compared with women with no psychiatric history (64.5%; 95% CI, 64.4-64.6%). The difference was observed even when psychotropic drug use was excluded and in all therapeutic classes except for antineoplastic and immunomodulating drugs. The most commonly prescribed drugs were anti-infectives. Approximately 44.7% (95% CI, 44.5-45.0%) of women with psychiatric history and 31.3% (95% CI, 31.2-31.4%) of women with no psychiatric history redeemed more than one therapeutic class of drugs. CONCLUSIONS: Women with a psychiatric history were more likely to redeem prescriptions during pregnancy across almost all drug classes, especially anti-infectives. Two thirds of all women redeemed at least one prescription drug during pregnancy and one third more than one drug class. KEY POINTS We mapped prescription drug use of almost 600 000 women during almost one million pregnancies with focus on women with a history of psychiatric disorder before conception compared with women with no such history. Pregnant women with a previous psychiatric disorder were more likely to redeem prescription drugs compared with pregnant women without a previous psychiatric disorder. The observed overall difference was not due to obvious differences in psychotropic drug use. The difference was evident across calendar years, all trimesters, and almost all drug classes, but to a large extent in anti-infectives, among those mainly antibiotics. Two thirds of pregnant women redeemed prescription drugs during pregnancy, and one third redeemed more than one drug class. Health professionals should be aware of comorbid conditions requiring multiple drug use during pregnancy with the risk of unknown fetal effects.

Joint Effects of Exposure to Prenatal Infection and Peripubertal Psychological Trauma in Schizophrenia.

CONTEXT: Prenatal infection and traumatizing experiences have both been linked with schizophrenia, but none of these factors seem sufficient to cause the disorder. However, recent evidence suggests that these environmental insults act in synergy to increase schizophrenia risk. OBJECTIVE: To estimate the independent and joint effects of exposure to prenatal infection and peripubertal psychological trauma on the risk of schizophrenia. DESIGN: Danish nationwide registers were linked in this prospective cohort study. We used survival analysis to report incidence rate ratios (IRRs) and corresponding 95% confidence intervals (95% CIs). Analyses were adjusted for age and calendar period and stratified by sex. PARTICIPANTS: A total of 979701 persons born between 1980 and 1998 were followed up from January 1, 1995 through December 31, 2013, with 9656 having a hospital contact for schizophrenia. RESULTS: Females exposed to prenatal infection had a significantly increased risk of schizophrenia (IRR: 1.61, 95% CI: 1.30-2.00), but not males (IRR: 0.99, 95% CI: 0.77-1.28). Peripubertal trauma was associated with increased risk in both sexes. Males, however, had a significantly higher risk of schizophrenia after exposure to both prenatal infection and peripubertal psychological trauma (IRR: 2.85, 95% CI: 2.32-3.51), with significant interaction between infection and peripubertal trauma on the multiplicative scale (P = .007). CONCLUSIONS: Our study demonstrated for the first time that prenatal infection and psychological trauma in peripubertal life can act in synergy to increase the risk of schizophrenia, with a potentially stronger susceptibility in males.

Investigating interactions between early life stress and two single nucleotide polymorphisms in HSD11B2 on the risk of schizophrenia.

BACKGROUND: To examine the risk of schizophrenia in a Danish population after exposure to early life stress, and whether this risk is modified by DNA sequence variation, specifically two single nucleotide polymorphisms (SNPs) (rs5479 and rs56303414) from the gene HSD11B2. This gene encodes the enzyme 11-ß hydroxysteroid dehydrogenase type 2 which converts active cortisol into inactive cortisone. METHODS: A two-stage analysis involving (1) a population-based cohort study, and (2) a nested case-control study using genotype information. Stage 1 included 1,141,447 people; here, we calculated incidence rate ratios (IRR) for the risk of schizophrenia among children of mothers who experienced loss or serious illness of close relatives before, during, and after pregnancy. In stage 2, we genotyped rs5479 and rs56303414 among 1275 schizophrenia cases and 1367 controls, and investigated interactions between genotypes and early life stress on the risk of schizophrenia. RESULTS: In stage 1, no increased risk of schizophrenia was found in offspring after exposure during pregnancy, but offspring exposed to early life stress at age 0-2 years had a significantly increased risk of schizophrenia (adjusted IRR 1.18, 95% confidence interval 1.07-1.31). For rs5479, the minor allele was nucleotide A, and the major allele was nucleotide C. No interaction was found between rs5479 and exposure during pregnancy. Individuals with the minor A allele of rs5479, however, had a significantly increased risk of schizophrenia after exposure to early life stress at age 3-9 years (adjusted IRR 2.06, 1.04-4.06). No interaction was found between rs56303414 and exposure in any of the time periods. CONCLUSION: No association was found between exposure to early life stress during pregnancy and schizophrenia in the offspring investigated, whereas individuals exposed to early life stress within the first two years of life had an increased risk. No interaction was found between HSD11B2 and exposure during pregnancy, but individuals with the A allele of rs5479 had an increased risk of schizophrenia after exposure at age 3-9 years.