Depression and the risk of autoimmune disease: a nationally representative, prospective longitudinal study.

BACKGROUND: Autoimmune diseases are associated with substantial morbidity and mortality, yet the etiology remains unclear. Depression has been implicated as a risk factor for various immune-related disorders but little is known about the risk of autoimmune disease. This study examined the association between depression and the risk of autoimmune disease, and investigated the temporal and dose-response nature of these relationships. METHOD: A prospective population-based study including approximately 1.1 million people was conducted using linked Danish registries. Depression and autoimmune diseases were diagnosed by physicians and documented in medical records. In total, 145 217 individuals with depression were identified between 1995 and 2012. Survival analyses were used to estimate the relative risk of autoimmune disease among those with, compared to without, depression. Analyses were adjusted for gender, age, and co-morbid mental disorders. RESULTS: Depression was associated with a significantly increased risk of autoimmune disease [incidence rate ratio (IRR) 1.25, 95% CI 1.19-1.31], compared to those without a history of depression. Results suggest a general increased risk of autoimmune diseases following the onset of depression during first year (IRR 1.29, 95% CI 1.05-1.58), which remained elevated for the ensuing 11 years and beyond (IRR 1.53, 95% CI 1.34-1.76). Findings did not support a dose-response relationship. CONCLUSIONS: Depression appears to be associated with an increased risk of a range of autoimmune diseases. Depression may play a role in the etiology of certain autoimmune conditions. If replicated, findings could highlight additional clinical implications in the treatment and management of depression. Future studies are needed to investigate the possible social, genetic, and neurobiological underpinnings of these relationships.

The gap between available knowledge and its use in clinical psychiatry.

OBJECTIVE: The time span between knowledge becoming available and its integration into daily clinical routine is lengthy. This phenomenon is explored in this study. METHOD: We used the outcomes of our activities for investigating and strengthening the research-based activities to improve physical health in the routines of clinical psychiatric wards as examples for our analyses. RESULTS: The time span between new knowledge becoming available and its implementation into general clinical treatment is very long. However, a shortening of this time span is seen through active leadership backup and clinical research experience among psychiatrists and staff in the wards. In particular, the involvement of medical students interested in clinical research activities seems to have a positive impact. CONCLUSION: Academia needs to be re-implemented into clinical psychiatry. Staff with research experience is needed in all professions to increase evidence-based practice. Leaders must take responsibility for implementing new knowledge into the routines of the department and must support staff in these activities on a daily basis.

Fifty years' development and future perspectives of psychiatric register research.

OBJECTIVE: This article illustrates the development of psychiatric register research and discusses the strengths, limitations, and possible directions for future activities. METHOD: Examples illustrating the development from the post-World War II introduction of psychiatric register research until today are selected. RESULTS: The strengths of register research are seen especially within health service. Until recently, when starting linking registers to biobanks, register research had limited value in cause-seeking. Register research benefits from the possibilities for following identifiable persons over long time (lifelong) and the possibilities for linking to other registers and databases. Important limitations of register research are the heterogeneity and questionable validity of the clinical data collected. CONCLUSION: Future register research can go in the direction of big is beautiful collecting data from all possible sources creating giga-registers. In that case, low data quality will still be an unsolved problem. Or it can take the direction of smaller local clinical databases which has many advantages, for example, integrating clinical knowledge and experience into register research. However, in that case, registers will not be able to deal with rare conditions and diseases.

Changes in the diagnosed incidence of early onset schizophrenia over four decades.

OBJECTIVE: To explore changes in the diagnosed incidence of early onset schizophrenia (EOS) from 1971 to 2010. METHOD: Examination of incidence rates of schizophrenia in patients under 18 years of age, using a nationwide, population-based, mental health register. RESULTS: The age-standardized incidence rate (IR) of EOS in the period 1971-2010 was 3.17 (95% CI: 3.16, 3.18) per 100 000 person years in the age group 0-18 years, and 9.10 (95% CI: 9.00, 9.21) in the age group 12-18 years. In the period 1971-1993, the age-standardized IR of EOS was 1.80 (95% CI: 1.79, 1.82) per 100 000 person years in the age group 0-18 years, and 5.02 (95% CI: 4.92, 5.11) in the age group 12-18 years. In the period 1994-2010, the age-standardized IR of EOS was 5.15 (95% CI: 5.10, 5.20) per 100 000 person years in the age group 0-18 years, and 15.73 (95% CI: 15.22, 16.22) in the age group 12-18 years. The IR was higher for males than females in the periods 1971-1993 and 1971-2010, but in the period 1994-2010 the IR was higher for females than males. CONCLUSION: In recent years, the diagnosed incidence of EOS has increased and the usual male excess has disappeared. The changes in IR could be a result of changes in the diagnostic system, increased awareness of early psychosis or a reflection of actual underlying incidence of the disorder.