Stockholm County Council

About: Stockholm County Council is a government organization based out in Stockholm, Sweden. It is known for research contribution in the topics: Population & Poison control. The organization has 1410 authors who have published 2429 publications receiving 78936 citations.

Clinical manifestations and antibody prevalence of lyme borreliosis and tick-borne encephalitis in Sweden : a study in five endemic areas close to Stockholm

Abstract: Five populations, including 903 individuals living in 5 different areas close to Stockholm, were studied with regard to clinical manifestations and antibody prevalence of Lyme borreliosis (LB) and tick-borne encephalitis (TBE). The study areas involved 4 groups of islands in the Baltic Sea and 1 island in Lake Malaren. Serum samples from each individual were tested for antibody activity to Borrelia burgdorferi using a sonicated whole spirochete antigen in an ELISA, and to TBE-virus (TBEV) by ELISA and haemagglutination inhibition. A history of LB was reported by 1–21% and antibodies to Borrelia burgdorferi were found in 7–29% of the participants from the various areas. An increasing seroprevalence with age was seen. In sera from 3 different control groups, including 502 individuals living in non-endemic areas, antibodies to Borrelia burgdorferi were detected in 1–2% and from 1 control group including 150 individuals living in the city of Stockholm, in 9%. A history of TBE was reported by 0–6% of the indiv...

Comparisons between five self-administered instruments predicting sick leaves in a 4-year follow-up

Abstract: This study aimed to explore and compare the ability of five instruments for self-rating to predict future sick leave rates. In three Swedish municipalities 2,252 employees completed a baseline questionnaire and were followed up for 4 years. Five health-oriented instruments for self-rating were used as potential predictors of the two outcome measures no sick leave at all, and one or more spells of long-term sick leave ≥28 days. Positive and negative predictive values as well as Cox proportional hazard ratios (denoted as RRs) adjusted for age and work type were calculated. The instruments showed no statistical difference in predicting future sick leave for either of the sexes. For no sick leave RRs ranged between 1.27 and 1.52 (women), 1.35 and 1.61 (men); for long-term sick leave RRs ranged between 1.78 and 2.39 (women), 2.87 and 5.53 (men). However, the best prediction of long-term sick leave for men, RR 5.53, 95% confidence interval (CI) 3.37–9.08, was significantly higher than the best prediction for women, RR 2.39, 95% CI 1.97–2.90. Prediction of long-term sick leave was better than that of no sick leave, and better among men than among women. There was a tendency for somewhat better prediction of future sick leave by multiple-question instruments, but single-question instruments can very well be used in predicting future sick leaves, and crude analyses stratified by sex can be used for screening purposes.

Association of Cumulative Childhood Adversity and Adolescent Violent Offending With Suicide in Early Adulthood

Abstract: Importance Childhood adversity (CA) is associated with an increased risk of suicide in young adulthood that might be explained by maladaptive trajectories during adolescence. Although adolescent violent offending is linked with suicide, little is known about its role in the association between CA and suicide. Objective To examine whether adolescent violent offending mediates the association between CA and suicide in early adulthood. Design, Setting, and Participants This population-based, longitudinal cohort study with a follow-up time spanning 5 to 9 years included 476 103 individuals born in Sweden between 1984 and 1988. The study population was prospectively followed up from 20 years of age until December 31, 2013, with respect to suicide. Data analysis was performed from January 1, 1984, to December 31, 2013. Exposures Register-based CAs included parental death, parental substance abuse and psychiatric disorder, parental criminal offending, parental separation, public assistance recipiency, child welfare intervention, and residential instability. Adolescent violent offending was defined as being convicted of a violent crime between the ages of 15 and 19 years. Main Outcomes and Measures Estimates of risk of suicide after 20 years of age (from 2004 if born in 1984 and from 2008 if born in 1988) until the end of 2013 were calculated as incidence rate ratios (IRRs) with 95% CIs using Poisson regression analysis. Adjustments were made for demographics and psychiatric disorder. In addition, binary mediation analysis with logistic regression was used. Results A total of 476 103 individuals (231 699 [48.7%] female) were included in the study. Those with a conviction for violent offending had been exposed to all CAs to a greater extent than those with no violent offending. Cumulative CA was associated with risk of suicide in nonconvicted (adjusted IRR, 2.4; 95% CI, 1.5-3.9) and convicted youths, who had a higher risk of suicide (adjusted IRR, 8.5; 95% CI, 4.6-15.7). Adolescent violent offending partly mediated the association between CA and suicide. Conclusions and Relevance Individuals with a history of CA who also engage in violent offending in adolescence have a high risk of suicide. Interventions to prevent externalizing behavior during childhood and increased support to youths with delinquent behavior may have the potential to prevent suicide related to CA.

Genetics of brain age suggest an overlap with common brain disorders

Abstract: Numerous genetic and environmental factors contribute to psychiatric disorders and other brain disorders. Common risk factors likely converge on biological pathways regulating the optimization of brain structure and function across the lifespan. Here, using structural magnetic resonance imaging and machine learning, we estimated the gap between brain age and chronological age in 36,891 individuals aged 3 to 96 years, including individuals with different brain disorders. We show that several disorders are associated with accentuated brain aging, with strongest effects in schizophrenia, multiple sclerosis and dementia, and document differential regional patterns of brain age gaps between disorders. In 16,269 healthy adult individuals, we show that brain age gap is heritable with a polygenic architecture overlapping those observed in common brain disorders. Our results identify brain age gap as a genetically modulated trait that offers a window into shared and distinct mechanisms in different brain disorders.