Trauma-related mortality of patients with severe psychiatric disorders: population-based study from the French national hospital database

2019 ◽  
Vol 217 (4) ◽  
pp. 568-574
Author(s):  
Guillaume Fond ◽  
Vanessa Pauly ◽  
Thierry Bege ◽  
Veronica Orleans ◽  
David Braunstein ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Psychiatric Disorders ◽  
Psychiatric Diagnosis ◽  
Hospital Admissions ◽  
Social Deprivation ◽  
Sociodemographic Characteristics ◽  
Survival Prognosis ◽  
Trauma Severity ◽  
Increased Risk ◽  
Related Mortality

BackgroundMost research on mortality in people with severe psychiatric disorders has focused on natural causes of death. Little is known about trauma-related mortality, although bipolar disorder and schizophrenia have been associated with increased risk of self-administered injury and road accidents.AimsTo determine if 30-day in-patient mortality from traumatic injury was increased in people with bipolar disorder and schizophrenia compared with those without psychiatric disorders.MethodA French national 2016 database of 144 058 hospital admissions for trauma was explored. Patients with bipolar disorder and schizophrenia were selected and matched with mentally healthy controls in a 1:3 ratio according to age, gender, social deprivation and region of residence. We collected the following data: sociodemographic characteristics, comorbidities, trauma severity characteristics and trauma circumstances. Study outcome was 30-day in-patient mortality.ResultsThe study included 1059 people with bipolar disorder, 1575 people with schizophrenia and their respective controls (n = 3177 and n = 4725). The 30-day mortality was 5.7% in bipolar disorder, 5.1% in schizophrenia and 3.3 and 3.8% in the controls, respectively. Only bipolar disorder was associated with increased mortality in univariate analyses. This association remained significant after adjustment for sociodemographic characteristics and comorbidities but not after adjustment for trauma severity. Self-administered injuries were associated with increased mortality independent of the presence of a psychiatric diagnosis.ConclusionsPatients with bipolar disorder are at higher risk of 30-day mortality, probably through increased trauma severity. A self-administered injury is predictive of a poor survival prognosis regardless of psychiatric diagnosis.

Risk and coaggregation of major psychiatric disorders among first-degree relatives of patients with bipolar disorder: a nationwide population-based study

2018 ◽  
Vol 49 (14) ◽  
pp. 2397-2404 ◽  
Author(s):  
Mu-Hong Chen ◽  
Ju-Wei Hsu ◽  
Kei-Lin Huang ◽  
Tung-Ping Su ◽  
Cheng-Ta Li ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Psychiatric Disorders ◽  
Population Based ◽  
Autism Spectrum ◽  
The Public ◽  
First Degree Relatives ◽  
Relative Risks ◽  
Dependent Relationship ◽  
Increased Risk ◽  
Bipolar Patients

AbstractBackgroundBipolar disorder is a highly heritable mental illness that transmits intergeneratively. Previous studies supported that first-degree relatives (FDRs), such as parents, offspring, and siblings, of patients with bipolar disorder, had a higher risk of bipolar disorder. However, whether FDRs of bipolar patients have an increased risk of schizophrenia, major depressive disorder (MDD), autism spectrum disorder (ASD), and attention deficit hyperactivity disorder (ADHD) remains unclear.MethodsAmong the entire population in Taiwan, 87 639 patients with bipolar disorder and 188 290 FDRs of patients with bipolar disorder were identified in our study. The relative risks (RRs) of major psychiatric disorders were assessed among FDRs of patients with bipolar disorder.ResultsFDRs of patients with bipolar disorder were more likely to have a higher risk of major psychiatric disorders, including bipolar disorder (RR 6.12, 95% confidence interval (CI) 5.95–6.30), MDD (RR 2.89, 95% CI 2.82–2.96), schizophrenia (RR 2.64, 95% CI 2.55–2.73), ADHD (RR 2.21, 95% CI 2.13–2.30), and ASD (RR 2.10, 95% CI 1.92–2.29), than the total population did. These increased risks for major psychiatric disorders were consistent across different familial kinships, such as parents, offspring, siblings, and twins. A dose-dependent relationship was also found between risk of each major psychiatric disorder and numbers of bipolar patients.ConclusionsOur study was the first study to support the familial coaggregation of bipolar disorder with other major psychiatric disorders, including schizophrenia, MDD, ADHD, and ASD, in a Taiwanese (non-Caucasian) population. Given the elevated risks of major psychiatric disorders, the public health government should pay more attention to the mental health of FDRs of patients with bipolar disorder.

scholarly journals 62 Predictors of Tardive Dyskinesia in Psychiatric Patients Taking Concomitant Antipsychotics

CNS Spectrums ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 207-208 ◽  
Author(s):  
Oscar Patterson-Lomba ◽  
Rajeev Ayyagari ◽  
Benjamin Carroll
Keyword(s):  
Quality Of Life ◽  
New York ◽  
Bipolar Disorder ◽  
Depressive Disorder ◽  
Prediction Model ◽  
Psychiatric Disorders ◽  
Index Date ◽  
Atypical Antipsychotics ◽  
Increased Risk

AbstractBackgroundTardive dyskinesia (TD) is typically caused by exposure to antipsychotics, is often irreversible, and can be debilitating. TD symptoms can increase the social stigma of patients with comorbid psychiatric disorders, negatively impact quality of life, and potentially increase medical morbidity and mortality. An increased risk of developing TD has been associated with factors such as older age, female sex, underlying mental illness, and long-term use and higher doses of antipsychotics. The association of TD with the use of typical versus atypical antipsychotics has also been evaluated, with mixed results. To date, predictive models assessing the joint effect of clinical characteristics on TD risk have not been developed and validated in the US population.Study ObjectiveTo develop a prediction model to identify patient and treatment characteristics associated with the occurrence of TD among patients with psychiatric disorders taking antipsychotic medications, using a retrospective database analysis.MethodsAdult patients with schizophrenia, major depressive disorder, or bipolar disorder who were taking oral antipsychotics, and who had 6months of data prior to the index date were identified from Medicaid claims from six US states. The index date was defined as the date of the first claim for an antipsychotic drug after a claim for the underlying disorder but before TD diagnosis. A multivariate Cox prediction model was developed using a cross-validated version of the least absolute shrinkage and selection operator (LASSO) regression method to improve prediction accuracy and interpretability of the model. The predictive performance was assessed in a separate validation set via model discrimination (concordance) and calibration.ResultsA total of 189,415 patients were identified: 66,723 with bipolar disorder, 68,573 with depressive disorder, and 54,119 with schizophrenia. The selected prediction model had a clinically meaningful concordance of 70% and was well calibrated (P=0.46 for Hosmer–Leme show goodness-of-fit test). Patient’s age at index date (hazard ratio [HR]: 1.03), diagnosis of schizophrenia (HR: 1.73), dosage of antipsychotic at index date (up to 100mg/day chlorpromazine equivalent; HR: 1.40), and presence of bipolar and related disorders (HR: 1.16) were significantly associated with an increased risk of TD diagnosis. Use of atypical antipsychotics at index date was associated with a modest reduction in the risk of TD (HR=0.94).ConclusionsThis study identified a group of factors associated with the development of TD among patients with psychiatric disorders treated with antipsychotics. This may allow physicians to better monitor their patients receiving antipsychotics, allowing for the prompt identification and treatment of TD to help maintain quality of life.Presented at: American Psychiatric Association Annual Meeting; May 5–9, 2018, New York, New York, USAFunding Acknowledgements: This study was supported by Teva Pharmaceuticals, Petach Tikva, Israel.

scholarly journals Psychiatric illness and regression in individuals with Phelan-McDermid syndrome

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Teresa M. Kohlenberg ◽  
M. Pilar Trelles ◽  
Brittany McLarney ◽  
Catalina Betancur ◽  
Audrey Thurm ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Intellectual Disability ◽  
Psychiatric Disorders ◽  
Psychiatric Illness ◽  
Psychiatric Symptoms ◽  
Structured Interview ◽  
Autism Spectrum ◽  
Scaffolding Protein ◽  
International Registry ◽  
Increased Risk

Abstract Background Phelan-McDermid syndrome (PMS) is a genetic condition characterized by intellectual disability, speech and language deficits, hypotonia, autism spectrum disorder, and epilepsy. PMS is caused by 22q13.33 deletions or mutations affecting SHANK3, which codes for a critical scaffolding protein in excitatory synapses. SHANK3 variants are also known to be associated with an increased risk for regression, as well as for psychiatric disorders, including bipolar disorder and catatonia. This study aimed to further describe these phenomena in PMS and to explore any relationship between psychiatric illness and regression after early childhood. Methods Thirty-eight people with PMS were recruited to this study through the Phelan-McDermid Syndrome Foundation based on caregiver report of distinct development of psychiatric symptoms. Caregivers completed a clinician-administered semi-structured interview focused on eliciting psychiatric symptomatology. Data from the PMS International Registry were used to confirm genetic diagnoses of participants and to provide a larger sample for comparison. Results The mean age of the 38 participants was 24.7 years (range = 13 to 50; SD = 10.06). Females (31 of 38 cases; 82%) and sequence variants (15 of 38 cases; 39%) were over-represented in this sample, compared to base rates in the PMS International Registry. Onset of psychiatric symptoms occurred at a mean age of 15.4 years (range = 7 to 32), with presentations marked by prominent disturbances of mood. Enduring substantial loss of functional skills after onset of psychiatric changes was seen in 25 cases (66%). Symptomst indicative of catatonia occurred in 20 cases (53%). Triggers included infections, changes in hormonal status, and stressful life events. Conclusions This study confirms that individuals with PMS are at risk of developing severe neuropsychiatric illness in adolescence or early adulthood, including bipolar disorder, catatonia, and lasting regression of skills. These findings should increase the awareness of these phenotypes and lead to earlier diagnosis and the implementation of appropriate interventions. Our findings also highlight the importance of genetic testing in the work-up of individuals with intellectual disability and acute psychiatric illness or regression. Future research is needed to clarify the prevalence and nature of psychiatric disorders and regression among larger unbiased samples of individuals with PMS.

scholarly journals Are psychiatric disorders risk factors for COVID-19 susceptibility and severity? a two-sample, bidirectional, univariable and multivariable Mendelian Randomization study

2020 ◽  
Author(s):  
Jurjen J. Luykx ◽  
Bochao D. Lin
Keyword(s):  
Bipolar Disorder ◽  
Psychiatric Disorders ◽  
Observational Studies ◽  
Mendelian Randomization ◽  
Neuropsychiatric Disorders ◽  
Sensitivity Analyses ◽  
Effect Estimate ◽  
Genome Wide Association Studies ◽  
Genetic Liability ◽  
Increased Risk

AbstractImportanceObservational studies have suggested bidirectional associations between psychiatric disorders and COVID-19 phenotypes, but results of such studies are inconsistent. Mendelian Randomization (MR) may overcome limitations of observational studies, e.g. unmeasured confounding and uncertainties about cause and effect.ObjectiveTo elucidate associations between neuropsychiatric disorders and COVID-19 susceptibility and severity.MethodIn November, 2020, we applied a two-sample, bidirectional, univariable and multivariable MR design to genetic data from genome-wide association studies (GWASs) of neuropsychiatric disorders and COVID-19 phenotypes (released on 20 Oct. 2020). Our study population consisted of almost 2 million participants with either a (neuro)psychiatric disorder or data on COVID-19 status. Outcomes and exposures were anxiety, anxiety-and-stress related disorders, major depressive disorder, schizophrenia, bipolar disorder, schizophrenia-bipolar disorder combined (BIP-SCZ), and Alzheimer’s dementia on the one hand; and self-reported, confirmed, hospitalized, and very severe COVID-19 on the other.ResultsIn single-variable MR analysis the most significant and only Bonferroni-corrected significant result was found for BIP-SCZ (a combined anxiety of bipolar disorder and schizophrenia as cases vs. controls): the effect estimate was consistent with increased risk of COVID-19 (OR = 1.17, 95% CI, 1.06-1.28; p = 0.0012). Nominally significant univariable results were in line with slightly elevated risks of COVID-19 for genetic liabilities to bipolar disorder and schizophrenia. No COVID-19 phenotype consistently increased risk of (neuro)psychiatric disorders. In multivariable MR, bipolar disorder was the only phenotype showing a Bonferroni-corrected significant effect on a COVID-19 phenotype, namely severe COVID-19 (OR = 1.293; 95% CI, 1.095-1.527; p = 0.003). All sensitivity analyses confirmed the results.ConclusionsGenetic liability to bipolar disorder slightly increases COVID-19 susceptibility and severity. The contribution of bipolar disorder to these COVID-19 phenotypes was smaller than the odds ratios estimated by observational studies. Strength of association and direction of effect for genetic liability to schizophrenia were similar, albeit less significant. We found no consistent evidence of reverse effects, i.e. of genetic liability to COVID-19 on psychiatric disorders.

scholarly journals Evaluation of the Role of ABCB1gene Polymorphic Variants on Psychiatric Disorders Predisposition in Macedonian Population

PRILOZI ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 71-88
Author(s):  
Zorica Naumovska ◽  
Aleksandra K. Nestorovska ◽  
Zoran Sterjev ◽  
Ana Filipce ◽  
Aleksandra Grozdanova ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Psychiatric Disorders ◽  
Psychiatric Illness ◽  
Cell Activation ◽  
Bipolar Disorders ◽  
Control Group ◽  
Microglia Cell ◽  
Increased Risk ◽  
And Function

Abstract The psychiatric and other CNS disorders are characterized with unregulated neuro-inflammatory processes and chronic microglia cell activation resulting with detrimental effect. ABCB1gene polymorphismsC1236T, G2677T/Aand C3435T are associated with P-glycoprotein expression and function andare linked with predisposition to psychiatric disorders such as schizophrenia and bipolar disorders. The relationship between mood disorders and glucocorticoids has been confirmed and ABCB1 SNPs influence the glucocorticoids access to the brain. The aim of the study is evaluation of the influence of the three most common ABCB1SNPs on predisposition to psychiatric disorders in Macedonian population. In the study 107 unrelated healthy Macedonians of both sexes were enrolled as a control group and patient population of 54 patients (22 to 65 years old) diagnosed with schizophrenia or bipolar disorder. ABCB1 for three polymorphisms were analyzed by Real-Time PCR in both groups. The results have confirmed the role of the ABCB1 gene in predisposition to psychiatric disorders and increased risk of developing bipolar disorder in carriers of the heterozygotes and mutant homozygotes for polymorphic variations in 1236 and 2677 in comparison to the normal genotype carriers. Three-fold higher risk was estimated for psychiatric illness in women that are 1236 and 2677 heterozygous carrier (heterozygous and mutant homozygous) compared to healthy control (men and women) population and four-fold higher risk in comparison only to healthy women population. Mutant allele carriers for 1236 and 2677 polymorphisms that are 35 years and below in patients population have almost three-fold higher risk for development of psychiatric illness.

scholarly journals Cardiovascular risk factors among patients with schizophrenia, bipolar, depressive, anxiety, and personality disorders

2016 ◽  
Vol 35 ◽  
pp. 8-15 ◽  
Author(s):  
M. Pérez-Piñar ◽  
R. Mathur ◽  
Q. Foguet ◽  
S. Ayis ◽  
J. Robson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Psychiatric Disorders ◽  
Physical Inactivity ◽  
Social Deprivation ◽  
Tobacco Consumption ◽  
Hazard Ratios ◽  
Increased Risk ◽  
Primary Care Practices

AbstractBackgroundThe evidence informing the management of cardiovascular risk in patients with psychiatric disorders is weak.MethodsThis cohort study used data from all patients, aged ≥ 30, registered in 140 primary care practices (n = 524,952) in London to estimate the risk of developing diabetes, hypertension, hyperlipidemia, tobacco consumption, obesity, and physical inactivity, between 2005 and 2015, for patients with a previous diagnosis of schizophrenia, depression, anxiety, bipolar or personality disorder. The role of antidepressants, antipsychotics and social deprivation in these associations was also investigated. The age at detection of cardiovascular risk factor was compared between patients with and without psychiatric disorders. Variables, for exposures and outcomes, defined from general practitioners records, were analysed using multivariate regression.ResultsPatients with psychiatric disorders had an increased risk for cardiovascular risk factors, especially diabetes, with hazard ratios: 2.42 (2.20–2.67) to 1.31 (1.25–1.37), hyperlipidemia, with hazard ratios: 1.78 (1.60–1.97) to 1.25 (1.23–1.28), and obesity. Antidepressants, antipsychotics and social deprivation did not change these associations, except for smoking and physical inactivity. Antidepressants were associated with higher risk of diabetes, hypertension and hyperlipidemia. Antipsychotics were associated with a higher risk of diabetes. Antidepressants and antipsychotics were associated with lower risk of other risk factors. Patients with psychiatric conditions have later detection of cardiovascular risk factors. The interpretation of these results should acknowledge the lower rates of detection of risk factors in mentally ill patients.ConclusionsCardiovascular risk factors require special clinical attention among patients with psychiatric disorders. Further research could study the effect of antidepressants and antipsychotics on cardiovascular risk factors.

scholarly journals Leukemia-Related Mortality in Inner Mongolia, 2008–2012

2015 ◽  
Vol 8 (7) ◽  
pp. 146 ◽  
Author(s):  
Zhihui Hao ◽  
Yongsheng Chen ◽  
Yongjun Xu ◽  
Maolin Du ◽  
Ying Wang ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Inner Mongolia ◽  
Years Of Life Lost ◽  
Sociodemographic Characteristics ◽  
Logistic Regression Models ◽  
Registry System ◽  
Increased Risk ◽  
Control And Prevention ◽  
Different Levels ◽  
Related Mortality

<p>In this study, we aimed to determine the leukemia-related mortality rates and associated sociodemographic characteristics in the Inner Mongolia region of China. We obtained data for the period 2008–2012 from the Death Registry System maintained by the Inner Mongolia Centers for Disease Control and Prevention. We computed the percentages of leukemia-related deaths and controls diagnosed by various methods and at different levels of hospitals. The χ<sup>2</sup> test was used to examine differences in leukemia-related mortality according to sex. We also calculated potential years of life lost (PYLL) and average years of life lost. Unconditional logistic regression models were used to analyze the effect of sociodemographic characteristics. The sex-adjusted leukemia-related mortality rate was 3.74/100 000. The mortality rate in men (4.27/100 000) was significantly higher than that in women (3.17/100 000), as was the respective PYLL (8040.5 vs. 6000.5 person-years). Mortality increased with increasing age in both men and women. The highest mortality rate was observed in those over 70 years of age for both men (18.36/100 000) and women (7.68/100 000). Men with a higher education level showed an increased risk of leukemia (odds ratio [OR] = 1.45, 95% confidence interval [CI] = 1.02–2.07, P = 0.04). In men, unemployment was associated with leukemia-related death (OR = 0.63, 95% CI = 0.42–0.95, P = 0.03). The leukemia-related mortality rate in Inner Mongolia was higher than that worldwide and that in China. A higher level of education and unemployment were associated with leukemia-related mortality in Inner Mongolia.</p>

scholarly journals Incidence of ischaemic heart disease and stroke among people with psychiatric disorders: retrospective cohort study

2019 ◽  
Vol 217 (2) ◽  
pp. 442-449 ◽  
Author(s):  
Caroline A. Jackson ◽  
Joannes Kerssens ◽  
Kelly Fleetwood ◽  
Daniel J. Smith ◽  
Stewart W. Mercer ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Heart Disease ◽  
Psychiatric Disorder ◽  
Psychiatric Disorders ◽  
Ischaemic Heart Disease ◽  
Sociodemographic Factors ◽  
Deprivation Level ◽  
Relative Risks ◽  
Increased Risk ◽  
Over Time

BackgroundPsychiatric disorders are associated with increased risk of ischaemic heart disease (IHD) and stroke, but it is not known whether the associations or the role of sociodemographic factors have changed over time.AimsTo investigate the association between psychiatric disorders and IHD and stroke, by time period and sociodemographic factors.MethodWe used Scottish population-based records from 1991 to 2015 to create retrospective cohorts with a hospital record for psychiatric disorders of interest (schizophrenia, bipolar disorder or depression) or no record of hospital admission for mental illness. We estimated incidence and relative risks of IHD and stroke in people with versus without psychiatric disorders by calendar year, age, gender and area-based deprivation level.ResultsIn all cohorts, incidence of IHD (645 393 events) and stroke (276 073 events) decreased over time, but relative risks decreased for depression only. In 2015, at the mean age at event onset, relative risks were 2- to 2.5-fold higher in people with versus without a psychiatric disorder. Age at incidence of outcome differed by cohort, gender and socioeconomic status. Relative but not absolute risks were generally higher in women than men. Increasing deprivation conveys a greater absolute risk of IHD for people with bipolar disorder or depression.ConclusionsDespite declines in absolute rates of IHD and stroke, relative risks remain high in those with versus without psychiatric disorders. Cardiovascular disease monitoring and prevention approaches may need to be tailored by psychiatric disorder and cardiovascular outcome, and be targeted, for example, by age and deprivation level.

scholarly journals Characterising the shared genetic determinants of bipolar disorder, schizophrenia and risk-taking

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Guy Hindley ◽  
Shahram Bahrami ◽  
Nils Eiel Steen ◽  
Kevin S. O’Connell ◽  
Oleksandr Frei ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Psychiatric Disorders ◽  
Risk Taking ◽  
Association Studies ◽  
Genetic Correlations ◽  
Genome Wide Association Studies ◽  
Increased Risk ◽  
Risky Behaviours ◽  
Shared Risk ◽  
Shared Genetic

AbstractIncreased risk-taking is a central component of bipolar disorder (BIP) and is implicated in schizophrenia (SCZ). Risky behaviours, including smoking and alcohol use, are overrepresented in both disorders and associated with poor health outcomes. Positive genetic correlations are reported but an improved understanding of the shared genetic architecture between risk phenotypes and psychiatric disorders may provide insights into underlying neurobiological mechanisms. We aimed to characterise the genetic overlap between risk phenotypes and SCZ, and BIP by estimating the total number of shared variants using the bivariate causal mixture model and identifying shared genomic loci using the conjunctional false discovery rate method. Summary statistics from genome wide association studies of SCZ, BIP, risk-taking and risky behaviours were acquired (n = 82,315–466,751). Genomic loci were functionally annotated using FUMA. Of 8.6–8.7 K variants predicted to influence BIP, 6.6 K and 7.4 K were predicted to influence risk-taking and risky behaviours, respectively. Similarly, of 10.2–10.3 K variants influencing SCZ, 9.6 and 8.8 K were predicted to influence risk-taking and risky behaviours, respectively. We identified 192 loci jointly associated with SCZ and risk phenotypes and 206 associated with BIP and risk phenotypes, of which 68 were common to both risk-taking and risky behaviours and 124 were novel to SCZ or BIP. Functional annotation implicated differential expression in multiple cortical and sub-cortical regions. In conclusion, we report extensive polygenic overlap between risk phenotypes and BIP and SCZ, identify specific loci contributing to this shared risk and highlight biologically plausible mechanisms that may underlie risk-taking in severe psychiatric disorders.

scholarly journals Prevalence of psychiatric disorders for Indigenous Australians: a population-based birth cohort study

2021 ◽  
Vol 30 ◽  
Author(s):  
James M. Ogilvie ◽  
Stacy Tzoumakis ◽  
Troy Allard ◽  
Carleen Thompson ◽  
Steve Kisely ◽  
...  
Keyword(s):  
Psychiatric Disorder ◽  
Psychiatric Disorders ◽  
Birth Cohort ◽  
Psychiatric Illness ◽  
Hospital Admissions ◽  
Psychiatric Morbidity ◽  
Indigenous Australians ◽  
Psychiatric Diagnoses ◽  
Sociodemographic Characteristics ◽  
Prevalence Rates

Abstract Aims Limited information exists about the prevalence of psychiatric illness for Indigenous Australians. This study examines the prevalence of diagnosed psychiatric disorders in Indigenous Australians and compares this to non-Indigenous Australians. The aims were to: (1) determine prevalence rates for psychiatric diagnoses for Indigenous Australians admitted to hospital; and (2) examine whether the profile of psychiatric diagnoses for Indigenous Australians was different compared with non-Indigenous Australians. Methods A birth cohort design was adopted, with the population consisting of 45 141 individuals born in the Australian State of Queensland in 1990 (6.3% Indigenous). Linked administrative data from Queensland Health hospital admissions were used to identify psychiatric diagnoses from age 4/5 to 23/24 years. Crude lifetime prevalence rates of psychiatric diagnoses for Indigenous and non-Indigenous individuals were derived from the hospital admissions data. The cumulative incidence of psychiatric diagnoses was modelled separately for Indigenous and non-Indigenous individuals. Logistic regression was used to model differences between Indigenous and non-Indigenous psychiatric presentations while controlling for sociodemographic characteristics. Results There were 2783 (6.2%) individuals in the cohort with a diagnosed psychiatric disorder from a hospital admission. The prevalence of any psychiatric diagnosis at age 23/24 years was 17.2% (491) for Indigenous Australians compared with 5.4% (2292) for non-Indigenous Australians. Indigenous individuals were diagnosed earlier, with overrepresentation in psychiatric illness becoming more pronounced with age. Indigenous individuals were overrepresented in almost all categories of psychiatric disorder and this was most pronounced for substance use disorders (SUDs) (12.2 v. 2.6% of Indigenous and non-Indigenous individuals, respectively). Differences between Indigenous and non-Indigenous Australians in the likelihood of psychiatric disorders were not statistically significant after controlling for sociodemographic characteristics, except for SUDs. Conclusions There is significant inequality in psychiatric morbidity between Indigenous and non-Indigenous Australians across most forms of psychiatric illness that is evident from an early age and becomes more pronounced with age. SUDs are particularly prevalent, highlighting the importance of appropriate interventions to prevent and address these problems. Inequalities in mental health may be driven by socioeconomic disadvantage experienced by Indigenous individuals.

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