Privredni ribolov na Dunavu u Srbiji

U radu se daje pregled slatkovodnog ribarstva sa aspekta upravljanja, ekspolatacije ribljih resursa, tržišta ribom, legislative koja uređuje delatnost ribarstva, kao i problemi sektora ribarstva u Srbiji. Istraživanje i analiza privrednog ribolova na Dunavu kroz Srbiju (588 km toka) sprovedeno je prikupljanjem podataka ribarske statistike za period od 1948. do 2010. godine, njihovim unošenjem u elektronsku bazu i analiziranjem uz korišćenje različitih metoda. Statistički podaci uključuju ukupan ulov, ulov rekreativnog i privrednog ribolova, ulov privredno značajnih vrsta i alohtonih vrsta. Korišćenjem anketnog upitnika za ribare dobijeni su podaci o demografskoj strukturi ribara koji se bave ribarenjem kao osnovnom delatnošću, o sastavu ulova, koliko je ribarstvo perspektivna privredna grana i koji su problemi i potencijalna rešenja. Većina ribara pripada starosnoj grupi koja je u opsegu od 45 do 50 godina. Privredni ribolov je važna ekonomska delatnost i predstavlja osnovni izvor prihoda za većinu ribara. Tržište slatkovodnom ribom je neuređena oblast koja zavisi od ličnog zalaganja i odgovornosti pojedinca koji ima interes u prodaji ribe. Ribarstvo na Dunavu u Srbiji je već dugi niz godina u procesu tranzicije ka tržišnoj ekonomiji. Dugoročne fluktuacije hidroloških podataka (vodostaj) upoređivane su sa fluktuacijama godišnjeg ulova ribe iz Dunava kako bi se uočila eventualna međusobna zavisnost i uporedili njihovi trendovi. Rezultati ovog istraživanja treba da posluže kao pregled stanja sektora sa svim postojećim nedostacima koje treba ispraviti u cilju što uspešnijeg upravljanja ribarstvom na Dunavu i ostalim rekama u Srbiji gde je zastupljen privredni ribolov

The Stride program: Feasibility and pre-to-post program change of an exercise service for university students experiencing mental distress

Rates of mental illness are disproportionately high for young adult and higher education (e.g., university student) populations. As such, universities and tertiary institutions often devote significant efforts to services and programs that support and treat mental illness and/or mental distress. However, within that portfolio of treatment approaches, structured exercise has been relatively underutilised and greater research attention is needed to develop this evidence base. The Stride program is a structured 12-week exercise service for students experiencing mental distress. We aimed to explore the feasibility of the program and assess pre- and post-program change, through assessments of student health, lifestyle, and wellbeing outcomes. Drawing from feasibility and effectiveness-implementation hybrid design literatures, we conducted a non-randomised feasibility trial of the Stride program. Participants were recruited from the Stride program (N = 114, Mage = 24.21 years). Feasibility results indicated the program was perceived as acceptable and that participants reported positive perceptions of program components, personnel, and sessions. Participants’ pre-to-post program change in depressive symptomatology, physical activity levels, mental health-related quality of life, and various behavioural outcomes were found to be desirable. Our results provide support for the feasibility of the Stride program, and more broadly for the delivery and potential effectiveness of structured exercise programs to support university students experiencing mental distress

Structured exercise programs for higher education students experiencing mental health challenges: background, significance, and implementation

The incidence of mental illness is greatest among young adults, and those enrolled in higher education may be particularly vulnerable compared to the general young adult population. Many higher education institutions employ student support staff tasked with implementing strategies to improve student wellbeing and mental illness. However, these strategies tend to be focused on clinical therapies and pharmacological interventions with limited lifestyle approaches. Exercise is an effective method for addressing mental illness and promoting wellbeing, yet widespread provision of structured exercise services to support treatment options for students with mental health challenges has not been fully realized. In an effort to guide exercise strategies for student mental health, we synthesize considerations for developing and delivering exercise programs in higher education settings. We draw directly from the evidence base on existing exercise programs in higher education; and the broader behavior change, exercise adherence, health psychology, implementation science, and exercise prescription literatures. Our broad considerations cover issues regarding program engagement and behavior change, exercise ‘dose’ and prescription, integration with other on-campus services, and robust research and evaluation. These considerations may provide impetus for widespread program development and implementation, as well as informing research focused on protecting and improving student mental health

Structured exercise programs for higher education students experiencing mental health challenges: background, significance, and implementation

The incidence of mental illness is greatest among young adults, and those enrolled in higher education may be particularly vulnerable compared to the general young adult population. Many higher education institutions employ student support staff tasked with implementing strategies to improve student wellbeing and mental illness. However, these strategies tend to be focused on clinical therapies and pharmacological interventions with limited lifestyle approaches. Exercise is an effective method for addressing mental illness and promoting wellbeing, yet widespread provision of structured exercise services to support treatment options for students with mental health challenges has not been fully realized. In an effort to guide exercise strategies for student mental health, we synthesize considerations for developing and delivering exercise programs in higher education settings. We draw directly from the evidence base on existing exercise programs in higher education; and the broader behavior change, exercise adherence, health psychology, implementation science, and exercise prescription literatures. Our broad considerations cover issues regarding program engagement and behavior change, exercise ‘dose’ and prescription, integration with other on-campus services, and robust research and evaluation. These considerations may provide impetus for widespread program development and implementation, as well as informing research focused on protecting and improving student mental health

Predictors of Compliance with COVID-19 Guidelines Across Countries: The role of social norms, moral values, trust, stress, and demographic factors

Despite the devastating impacts of the COVID-19 pandemic, it provided the opportunity to investigate factors associated with compliance with public health measures that could inform responses to future pandemics. We analysed cross-country data (k = 121, N = 15,740) collected one year into the COVID-19 pandemic to investigate factors related to compliance with COVID-19 guidelines. These factors include social norms, moral values, trust, stress, and demographic factors. We found that social norms to follow preventive measures were positively correlated with compliance with local prevention guidelines. Compliance was also predicted by concern about the moral value of harm and care, trust in government and the scientific community, stress, and demographic factors. Finally, we discuss country-level differences in the associations between predictors and compliance. Overall, results indicate that the harm/care dimension of moral foundations and trust are critical to the development of programs and policies aimed at increasing compliance with measures to reduce the spread of disease

Water

Meta-analysis can be a powerful tool for demonstrating the applicability of a concept beyond the context of individual clinical trials and observational studies, including exploration of effects across different subgroups. Meta-analysis avoids Simpson's paradox, in which a consistent effect in constituent trials is reversed when results are simply pooled. Meta-analysis in critical care medicine is made more complicated, however, by the heterogeneous nature of critically ill patients and the contexts within which they are treated. Failure to properly adjust for this heterogeneity risks missing important subgroup effects in, for example, the interaction of treatment with varying levels of baseline risk. When subgroups are defined by characteristics that vary within constituent trials (such as age) rather than features constant within each trial (such as drug dose), there is the additional risk of incorrect conclusions due to the ecological fallacy. The present review explains these problems and the strategies by which they are overcome

COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available