Neighbourhood crime and major depression in Sweden: A national cohort study
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Neighbourhood crime and major depression in Sweden: A national cohort study

Background: The association between neighbourhood crime and major depression (MD) has been described before but previous studies may be limited by biases in self-reported data and the use of homogenous study populations. Our study aimed to examine the association between neighbourhood crime and clinically diagnosed MD among the immigrant and non-immigrant populations in Sweden. Methods:…

Safe and Healthy Para sport project (SHAPE): a study protocol of a complex intervention within Para sport

Safe and Healthy Para sport project (SHAPE): a study protocol of a complex intervention within Para sport

Elite Para athletes report a high incidence of sports injuries, illnesses and other health issues. Despite this, there are few prevention programmes in Para sport, and many of the existing prevention programmes are not adapted to Para athletes. To improve the success of preventive measures, it has been suggested that sports safety work should facilitate…

Increasing rates of firearm violence in Sweden: a challenge for the emergency care
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Increasing rates of firearm violence in Sweden: a challenge for the emergency care

Sweden is often associated with democracy, freedom and a generous social welfare system. The backside is though unknown for many. The last decade, Sweden has witnessed a significant increase in firearm-related violence, why also an increase in the rate of deadly violence has been seen.

Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths

Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths

Background Machine learning (ML) is an emerging tool for predicting need of end-of-life discussion and palliative care, by using mortality as a proxy. But deaths, unforeseen by emergency physicians at time of the emergency department (ED) visit, might have a weaker association with the ED visit. Objectives To develop an ML algorithm that predicts unsurprising…

Glucose and high-sensitivity troponin T predict a low risk of major adverse cardiac events in emergency department chest pain patients

Glucose and high-sensitivity troponin T predict a low risk of major adverse cardiac events in emergency department chest pain patients

Background Glucose is emerging as a biomarker for early and safe rule-out of acute myocardial infarction in emergency department (ED) chest pain patients. We evaluated the diagnostic accuracy of dual testing with high sensitivity TnT (hs-cTnT) and glucose for prediction of major adverse cardiac events (MACE) within 30 days. Methods This was a secondary analysis of…

Firearm-Related Homicide in Sweden: A Latent Class Analysis of Suspected Offenders
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Firearm-Related Homicide in Sweden: A Latent Class Analysis of Suspected Offenders

Sweden has witnessed a significant increase in the rate of firearm-related homicide. We therefore aimed to study the characteristics of individuals suspected of homicide, attempted homicide, preparation to commit homicide as well as conspiracy to commit homicide with a firearm in Sweden. By using information from different registers, suspected individuals between 2000 and 2017 and…

Nineteen victims of homicide and attempted homicide in Sweden – their injuries, cause of death, and offender relationship
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Nineteen victims of homicide and attempted homicide in Sweden – their injuries, cause of death, and offender relationship

Victims of homicide and attempted homicide are not uncommon in Sweden. We therefore aimed to study these victims to understand their injuries, their cause of death, and their relationship to the offender. All cases during five years in a district court in Sweden, where an offender had been convicted for homicide or attempted homicide, were…