Serious physical assault and subsequent risk for rehospitalization in individuals with severe mental illness: a nationwide, register-based retrospective cohort study.

BACKGROUND: Victimization is associated with worse social and clinical outcomes of individuals with severe mental illness (SMI). A relapse of SMI may be one of the clinical consequences of assaultive trauma. As far as we know, there is no published study that analyzes nationwide health registers to assess the risk of SMI rehospitalization following assault. AIM: We aimed to assess whether exposure to assault is associated with an increased risk of psychiatric hospitalization in those with SMI. METHODS: We utilized data from the Czech nationwide registers of all-cause hospitalizations and all-cause deaths. We defined exposed individuals as those discharged from a hospitalization for SMI between 2002 and 2007, and hospitalized for serious injuries sustained in an assault in the subsequent 7 years. For each assaulted individual, we randomly selected five counterparts, matched on SMI diagnosis, age and sex, who were not assaulted in the examined time period. We used mixed effect logistic regression to assess the effect of assault on the risk of SMI rehospitalization within the following 6 months. We fitted unadjusted models and models adjusted for the number of previous SMI hospitalizations and drug use disorders. RESULTS: The sample consisted of 248 exposed and 1 240 unexposed individuals. In the unadjusted model, assaulted individuals were almost four times more likely to be rehospitalized than their non-assaulted counterparts (odds ratio (OR) = 3.96; 95% CI 2.75; 5.71). After adjusting for all covariates, the OR remained threefold higher (OR = 3.07; 95% CI 2.10; 4.49). CONCLUSION: People with a history of SMI hospitalization were approximately three times more likely to be rehospitalized for SMI within 6 months after an assault than their non-assaulted SMI counterparts. Soon after a person with SMI is physically assaulted, there should be a psychiatric evaluation and a close follow-up

Analysis of personal data-sharing consent factors, with focus on loyalty programs in the Czech Republic

The purpose of this study is to provide structured, topical and representative analysis of personal data sharing preferences in the Czech Republic. Within the context of personal data sharing and protection, we focus on profiling individuals who voluntarily share their personal data with good-faith corporate entities. Loyalty program operators serve as a common and representative model of commercially driven collection and processing of personal data. We address different types of personal data and factors affecting individual data-sharing consent. Our original research is based on primary surveyed data (806 respondents surveyed during 2017). Multiple quantitative methods such as hierarchical clustering and logistic regression are employed in the analysis. Also, an important part of our research is based on evaluation of structured in-depth interviews, focused on personal data sharing and protection topics. We find pronounced socio-demographic differences in individual propensity to share one’s personal data with commercial data processors. Main findings and contrasting factors are pointed out and discussed within the paper. Our analysis reflects the needs of academic and corporate researches to whom it provides actionable and stratified results, especially in context of the new EU legislation: the GDPR directive on personal data protection

Hospitalizations and Mortality of Individuals with Dementia:Evidence from Czech National Registers

BACKGROUND: Facing an increasing prevalence of dementia, the Czech Republic is developing a new nationwide strategy for the management and prevention of dementia. Lack of evidence about characteristics of individuals with dementia in the country is a major obstacle. OBJECTIVE: The study aimed to 1) characterize individuals with dementia, 2) compare their mortality with the general population, and 3) analyze differences in survival between different dementia disorders. METHODS: The study capitalizes on two nationwide registers in the Czech Republic, from which information about individuals who were hospitalized with dementia or died from it between 1994 and 2014 was retrieved. Standardized intensity of hospitalizations was calculated for each year, mortality was studied using standardized mortality ratio, life-tables, Kaplan-Mayer curves, and Cox proportional hazard models. RESULTS: Standardized intensity of hospitalizations for dementia increased more than 3 times from 1994 to 2014. Standardized mortality ratio was 3.03 (95% confidence interval 2.97-3.08). One-year survival rate was 45% and five-year survival rate 16%. Vascular dementia was the most common type of dementia disorders and was associated with higher hazard of death than Alzheimer's disease, even after adjusting for sociodemographic and clinical covariates (hazard ratio 1.04; 95% confidence interval 1.02-1.05). CONCLUSION: The study provides estimates on demographic characteristics and mortality of the Czech hospitalized dementia population, which have not been so far available and which are unique also in the context of the entire region of Central and Eastern Europe

ANALYSIS OF PERSONAL DATA-SHARING CONSENT FACTORS, WITH FOCUS ON LOYALTY PROGRAMS IN THE CZECH REPUBLIC

The purpose of this study is to provide structured, topical and representative analysis of personal data sharing preferences in the Czech Republic. Within the context of personal data sharing and protection, we focus on profiling individuals who voluntarily share their personal data with good-faith corporate entities. Loyalty program operators serve as a common and representative model of commercially driven collection and processing of personal data. We address different types of personal data and factors affecting individual data-sharing consent. Our original research is based on primary surveyed data (806 respondents surveyed during 2017). Multiple quantitative methods such as hierarchical clustering and logistic regression are employed in the analysis. Also, an important part of our research is based on evaluation of structured in-depth interviews, focused on personal data sharing and protection topics. We find pronounced socio-demographic differences in individual propensity to share one’s personal data with commercial data processors. Main findings and contrasting factors are pointed out and discussed within the paper. Our analysis reflects the needs of academic and corporate researches to whom it provides actionable and stratified results, especially in context of the new EU legislation: the GDPR directive on personal data protection

International monitoring of capacity of treatment systems for alcohol and drug use disorders: Methodology of the Service Capacity Index for Substance Use Disorders.

OBJECTIVES: We aimed to develop a Service Capacity Index for Substance Use Disorders (SCI-SUD) that would reflect the capacity of national health systems to provide treatment for alcohol and drug use disorders, in terms of the proportion of available service elements in a given country from a theoretical maximum. METHODS: Data were collected through the WHO Global Survey on Progress with Sustainable Development Goals (SDG) Health Target 3.5, conducted between December 2019 and July 2020 to produce the SCI-SUD, based on 378 variables overall. RESULTS: The SCI-SUD was directly derived for 145 countries. We used multiple imputation to produce comparable SCI-SUD estimates for countries that did not submit data (40 countries) or had very high level of missingness (9 countries). The final SCI-SUD demonstrates considerable consistency and internal stability and is strongly associated with the macro-level economic, healthcare-related and epidemiologic (such as prevalence rates) variables. CONCLUSION: The presented methodology represents a step forward in monitoring the global situation in regard to the development of treatment systems for SU disorders, however, further work is warranted to improve the external validity of the measure (e.g., in-depth data generation in countries) and ensure its feasibility for regular reporting (e.g., reducing the number of variables)

A detailed analysis of ion-acoustic waves observed in the solar wind by the Solar Orbiter

International audienceIon-acoustic waves are often observed in the solar wind along the Solar Orbiter's orbit. These electrostatic waves are generated via ion-ion or current-driven instabilities below the local proton plasma frequency. Due to the Doppler shift, they are typically observed in the frequency range between the local electron and proton plasma frequency in the spacecraft frame. Ion-acoustic waves often accompany large-scale solar wind structures and play a role in the energy dissipation in the propagating solar wind. Time Domain Sampler (TDS) receiver, a part of the Radio and Plasma Waves (RPW) instrument, is sampling wave emissions at frequencies below 200 kHz almost continuously from the beginning of the mission. Almost three years of observations allow us to perform a detailed study of ion-acoustic waves in the solar wind under variable plasma conditions. The emission tends to be observed when proton density and temperature are highly perturbed. A detailed analysis of the proton velocity distribution and wave generation using solar wind data from a Proton and Alpha particle Sensor (PAS) of the Solar Wind Analyzer (SWA) is shown

Meta-Analysis and Functional Validation of Nutritional Requirements of Solventogenic Clostridia Growing under Butanol Stress Conditions and Coutilization of d-Glucose and d-Xylose ▿

Recent advances in systems biology, omics, and computational studies allow us to carry out data mining for improving biofuel production bioprocesses. Of particular interest are bioprocesses that center on microbial capabilities to biotransform both the hexose and pentose fractions present in crop residues. This called for a systematic exploration of the components of the media to obtain higher-density cultures and more-productive fermentation operations than are currently found. By using a meta-analysis approach of the transcriptional responses to butanol stress, we identified the nutritional requirements of solvent-tolerant strain Clostridium beijerinckii SA-1 (ATCC 35702). The nutritional requirements identified were later validated using the chemostat pulse-and-shift technique. C. beijerinckii SA-1 was cultivated in a two-stage single-feed-stream continuous production system to test the proposed validated medium formulation, and the coutilization of d-glucose and d-xylose was evaluated by taking advantage of the well-known ability of solventogenic clostridia to utilize a large variety of carbon sources such as mono-, oligo-, and polysaccharides containing pentose and hexose sugars. Our results indicated that C. beijerinckii SA-1 was able to coferment hexose/pentose sugar mixtures in the absence of a glucose repression effect. In addition, our analysis suggests that the solvent and acid resistance mechanisms found in this strain are differentially regulated compared to strain NRRL B-527 and are outlined as the basis of the analysis toward optimizing butanol production