Role Of Different Sources Research Articles

General equilibrium and dynamic inconsistency

We study the role of different sources of naivete in a general equilibrium version of the Ramsey model with quasi-hyperbolic discounting. When agents are aware of others’ naivete, as strongly suggested by empirical evidence, they revise consumption paths, correctly anticipating prices in a resulting sliding equilibrium (perfect foresight). When agents are unaware of others’ naivete, as is typically assumed in the theoretical literature, they revise both consumption paths and price expectations (quasi-perfect foresight). We prove the existence of sliding equilibrium under perfect foresight for the class of isoelastic utility functions. We show that generically quasi-hyperbolic discounting matters for saving behavior: sliding equilibrium under perfect foresight is observationally equivalent to some optimal path in the standard Ramsey model only if utility is logarithmic. By comparing sliding equilibria under different types of foresight we show that perfect foresight implies a higher saving rate, long-run capital stock and consumption level than quasi-perfect foresight.

Attitude toward vaccination against COVID-19 and acceptance of the national "QazVac" vaccine in the Aktobe city population, West Kazakhstan: A cross-sectional survey.

The scale of emergency caused by COVID-19, the ease of survey, and the crowdsourcing deployment guaranteed by the latest technology have allowed unprecedented access to data describing behavioral changes induced by the pandemic. The study aimed to present the survey results identifying attitudes toward vaccination against COVID-19 among the population of West Kazakhstan, the level of confidence in the national QazVac vaccine, and the role of different sources of information on COVID-19 in decision-making concerning vaccination. A computer-assisted survey was conducted using WhatsApp messenger. Overall, 2,009 participants responded, with a response rate of 92%. Most (83.1%) were immunized against COVID-19; among them, 20.1% obeyed the request of their employers that had been practiced within non-pharmaceutical interventions to contain the disease. The youngest respondents, individuals with a college education, students, and employed people, as well as those with chronic diseases, showed positive attitudes toward vaccination (all p<0.05). About two-thirds of respondents (69.2%) expressed trust in all types of vaccines against COVID-19. Of those who refused vaccination (16.9%), about one-third feared vaccination consequences, and more than a third (38.2%) reported anti-vaccine sentiments. The decisive factors in accepting vaccination were trust in official sources of information (reports of medical experts, etc.) and, mainly, subjectively interpreted sufficiency of information about the disease, which had increased the odds of being vaccinated by 63.9% (OR 1.71, 95% CI [1.3;2.26], p<0.05). Confidence in the domestic QazVac vaccine was expressed by 37.7% of respondents. History and severity of COVID-19 disease did not play a role in positive perceptions of vaccination, while illness after vaccination substantially affected vaccination approval (p 0.021). No significant differences have been observed regarding the overall performance across five vaccines (QazVac, Sputnik V, CoronaVac, Hayat-Vax, and BioNTech/Pfizer) available for Kazakhstan's population (p 0.27).

The conflicts of ecological transition on the ground and the role of eco-social policies: Lessons from Italian case studies

This paper analyzes the complexity of social-ecological transition policies and processes, focusing on trade-offs and emerging conflicts engendered by combined environmental-social-technological programmes and innovations. To date, there has been only limited focus in the literature on empirical cases, analyzing the ecological transition, distributive effects, social risks and policies to counter them. To help fill this gap, the paper discusses three qualitative case studies as part of a research project on social cohesion in ecological transitions in Tuscany, Italy. In particular, it examines the ongoing transition strategies and practices, bringing out several aspects that highlight the sources of controversies among actors and the contextual variability and complexity of their ‘playgrounds’, namely: (1) the role of time, space and relational patterns, and ensuing problems of governance, coordination and synchronization; (2) the way in which institutional and technological transformations are embedded in trans-contextual relations and conflicts; (3) the role of different sources and kinds of knowledge in supporting or hampering the ecological transitions; and (4) the shifting balances between top-down strategies and regulation, and bottom-up processes of civic associations and social movements. The paper then analyzes the attempts to provide social security by means of more or less explicitly designed eco-social policies and practices, highlighting some relevant lessons learned and methodological recommendations for future sustainable welfare design.

The role of different sources of uncertainty on the stochastic quantification of subsurface discharges in heterogeneous aquifers

The quantification of subsurface discharges may significantly be affected by multiple sources of uncertainty, especially in highly heterogeneous aquifers. In this work, subsurface discharges within alluvial aquifers located in the province of Lecco (Lombardy, Northern Italy) are quantified relying upon a Monte Carlo (MC) framework under geological and conditioning data uncertainty sources. These are respectively employed through different geological conceptual models, whose facies spatial distributions are simulated through Sequential Indicator Simulations methodology (SISIM), and by conditioning stochastic facies simulations with different data constraints. Stochastic porosity fields are then achieved upon facies simulated fields by associating average porosity values to each local simulated facies. Then, stochastic subsurface discharge fluxes are quantified under steady hydraulic conditions upon saturated hydraulic fields, inferred from porosity ones. Then, the study of subsurface discharges is pursued via the Generalized Extreme Values (GEV) approach. This method enables both to interpret peak-over-thresholds (POTs) discharges spatial distribution, and to study the role geological and data uncertainty sources on their quantification, for example studying discharges conveyed towards a lake through the surrounding aquifer. These uncertainty-based analyses show that subsurface discharges clearly convey in correspondence of main alluvial aquifers, as well as the tendency to be collected along preferential pathways. Furthermore, the inspection of POTs empirical probability spatial distributions highlights that the geological uncertainty plays as a primary uncertainty source rather than the conditioning data. The latter plays a minor role, e.g. between different employed models, only in presence of a relevant geological difference between analyzed ones. These results are consistent with other kinds of information, such as hydrogeological sections and available piezometric maps, providing novel contributions to understanding how to quantify subsurface discharges in poorly monitored aquifers or how to treat various sources of uncertainty.

Coping with cancer: the role of different sources of psychosocial support and the personality of patients with cancer in (mal)adaptive coping strategies.

Cancer is a serious event in a person's life. However, certain coping strategies in relation to selected social, emotional, and personality factors appear to manage the disease. Sources of social support were tested in cancer survivors (N = 696) using hierarchical linear regression. Selected personality variables in terms of sociodemographic, clinical, and emotional factors were used as predictors of adaptive and maladaptive coping strategies. It was found that adaptive coping strategies were more frequent in younger patients, in patients who attended cancer support groups and those with a greater level of optimism. Maladaptive coping was related to the higher level of experience of pain and sadness, neuroticism, and pessimism. The absence of a relapse and the time since the disease had been diagnosed were also important factors in coping with cancer. The results point to the importance of considering various individual factors in the process of intervention to facilitate adaptive coping and to reduce maladaptive coping.

A wear model to predict damage of reconstructed ACL

Impingement with surrounding tissues is a major cause of failure of anterior cruciate ligament reconstruction. However, the complexity of the knee kinematics and anatomical variations make it difficult to predict the occurrence of contact and the extent of the resulting damage. Here we hypothesise that a description of wear between the reconstructed ligament and adjacent structures captures the in vivo damage produced with physiological loadings. To test this, we performed an in vivo study on a sheep model and investigated the role of different sources of damage: overstretching, excessive twist, excessive compression, and wear. Seven sheep underwent cranial cruciate ligament reconstruction using a tendon autograft. Necropsy observations and pull-out force measurements performed postoperatively at three months showed high variability across specimens of the extent and location of graft damage. Using 3D digital models of each stifle based on X-ray imaging and kinematics measurements, we determined the relative displacements between the graft and the surrounding bones and computed a wear index describing the work of friction forces underwent by the graft during a full flexion-extension movement. While tensile strain, angle of twist and impingement volume showed no correlation with pull-out force (ρ = −0.321, p = 0.498), the wear index showed a strong negative correlation (r = −0.902, p = 0.006). Moreover, contour maps showing the distribution of wear on the graft were consistent with the observations of damage during the necropsy. These results demonstrate that wear is a good proxy of graft damage. The proposed wear index could be used in implant design and surgery planning to minimise the risk of implant failure. Its application to sheep can provide a way to increase preclinical testing efficiency.

Factors influencing HPV knowledge and vaccine acceptability in parents of adolescent children: results from a survey-based study (KAPPAS study)

ABSTRACT Human Papillomavirus (HPV) is one of the most common sexually transmitted infections associated with a wide range of diseases and cancers that may affect both genders. Since 2007, the Spanish National Immunization Program includes HPV vaccination, and currently it only targets 12-year-old girls. The objective of our study is to assess differences in the knowledge of HPV and HPV vaccine acceptability according to different factors, and to identify the role of different sources of information. A cross-sectional, multicenter survey research was carried out in twenty-four pediatric offices in Spain, and included parents of children aged 9 to 14 years old. 1,405 valid survey-responses were considered for the analysis. Parental awareness of HPV and HPV vaccine, as well as vaccine acceptability, are still strongly associated with child gender (girls) and age (12–14 years old). HPV knowledge and HPV vaccine acceptability are related to parental gender, HPV vaccination status and having at least one daughter. Parents who consulted a healthcare source to obtain further information about HPV had greater HPV and HPV vaccine knowledge and acceptability. HPV and HPV vaccine awareness and acceptability are strongly associated with child gender and age, which correlates with the current immunization program.

Media use and protest participation – but what is in-between? The role of different sources of information, media-related perceptions, and political efficacy for protest behavior

Many studies show a positive relationship between media use and protest participation. Yet, the picture becomes less clear-cut for different types of media (traditional vs. social media). Thus, the mechanisms underlying these mobilizing media effects remain vague. This paper attempts to address this research gap by looking more closely at media-related factors (evaluation of media coverage about one’s protest group) and relating them to participatory predictors (political efficacy). Based on a survey of activists (N = 132) from randomly selected protest groups in Germany, we analyze both media perceptions and political efficacy as mediators between the use of different information sources and protest behavior. Path analyses showed that using traditional news media and social media was differently related to collective action: In contrast to social media, using traditional news media were related to a positive impression how the media covered one’s own group. This perception of the media coverage was linked to greater political efficacy and, ultimately more protest behavior offline. Yet, the model paths differed for activists from different groups, e.g. environmental groups vs. so-called “concerned citizens” who protested against the governmental measures to contain the coronavirus pandemic.

Dispersion modelling of environmental odours using hourly-resolved emission scenarios: Implications for impact assessments

Regarding air quality, odours have been repeatedly ranked as the number one reason for public complaints to authorities. The most widely used method for assessing odour impacts is dispersion modelling. However, the entire impact assessment chain is permeated with uncertainty, and the role of different sources of uncertainty is not well understood. A critical component of this chain is the emission, the focus of this work. Here we develop modelling analyses for examining the influence of variable emissions against constant emissions on the outcomes of impact assessments. The analyses are built upon six hourly-resolved emission scenarios and one time-invariant scenario applied for the fattening phase of pig production systems. All seven scenarios are configured to treat total emissions due to a mechanically ventilated shed as coming from an elevated point source with an unobstructed vertical release. A total of 378 impact maps from three sites in two countries (Austria and the U.S.) over relatively flat terrain are scrutinised. The influence and relevance of accounting for variability in odour emissions over time depend strongly on the nature of the emissions (e.g., temporal pattern, presence of stochastic and deterministic components) as well as other factors such as building downwash, odour impact criterion and stack height. Altogether, the results suggest that using hourly odour emission rates can improve the confidence in impact assessments compared with the simulations driven by constant emissions. For odour impact criteria based on high-end percentiles, the assumption of constant emissions can be more easily compromised. In contrast, lower percentiles are found to be more robust in offsetting the source emission variability. Results also indicate that the variability in odour emissions might become less of an issue for releases under the influence of downwash than those without obstacle effects. This systematic work is the largest investigation to date on the consequences of incorporating variable emissions when modelling odour impacts. Our findings demonstrate that the emission scenario used as input to dispersion models can play a central role in dictating the conclusions of odour impact assessments. • Modelling analyses were developed to produce 378 odour impact maps for the investigation. • Assuming constant emissions brings a risk of biased impact estimates. • Releases under building downwash effects were less sensitive to the source emission variability. • The ultimate influence of variable emissions hangs upon the prescribed percentile of impact criteria. • More faithful representations of time-varying emissions are needed to ameliorate odour exposure calculations.

Access to Information and Other Correlates of Vote Buying and Selling Behaviour: Insights from Philippine Data

Access to information is a key factor influencing political behaviour and decisions. Recent studies on vote buying and selling have tried to unpack the possible drivers behind this phenomenon; yet, few studies have empirically examined the role of different sources of information. This study contributes to the nascent literature in this area by turning to a unique dataset from a survey of low-income voters in Metro Manila, the Philippines. It empirically examined the relationship between access to information and vote selling behaviour by low-income voters. It also studied other correlates of vote selling and the possible factors linked to receiving an offer. The results suggest that the quantity of information has no significant relationship with the likelihood of accepting the offer and voting for the candidate for whom the offer was made. However, the quality of information does matter. In particular, access to sources of ‘good quality information’ is negatively associated with completing the vote selling transaction (i.e., accepting the offer and voting for the candidate). This study also found evidence that when money is used for vote buying, it appears to be targeted at those with greater needs, confirming the literature that vote buying activities tend to be well targeted at poor and low-income communities. Unsurprisingly, vote buying offers are more likely in areas where elections are closely contested, and they are also more likely in socially cohesive communities. Our findings also suggest that vote buying may not necessarily be effective in the sense that it encourages only few voters to change their candidate preference. This coheres with earlier studies suggesting that vote buying and selling merely caps a longstanding patron–client relationship between politicians and low-income voters. JEL: D72, D91, K49

Physical Activity and Body-Mass-Index: Do Family, Friends and Teachers Restrain the Risk for Physical Inactivity in Adolescents?

Background: The present study investigates the role of different sources of social support in the relationship of BMI and PA in an international sample of children and adolescents. Methods: Data included 170,211 adolescents (51.5% female), aged 10–16 (M = 13.6, SD = 1.64) from 37 European countries/regions and were retrieved from the 2013/14 Health Behaviour in School-aged Children (HBSC) international database. Results: PA levels in adolescents are lower for girls, decrease with age, and are lower for overweight and obese adolescents compared to underweight and normal-weight adolescents. Peer support and teacher support significantly predict PA (ORpeer = 1.11; ORteacher = 0.97) and vigorous PA frequency (ORpeer = 1.13; ORteacher = 0.94). Family support only affected vigorous PA frequency (OR = 1.03). Family support had a moderating effect on PA in overweight (ORfamily*BMI(overweight) = 0.94) and obese (ORfamily*BMI(obese) = 0.90) adolescents. Peer support had a moderating effect on vigorous PA frequency in obese (ORpeer*BMI(obese) = 1.08) adolescents. Teacher support had a moderating effect on PA (ORteacher*BMI(normal) = 1.05; ORteacher*BMI(overweight) = 1.09) and vigorous PA frequency (ORteacher*BMI(normal) = 1.07; ORteacher*BMI(overweight) = 1.08) in normal-weight and overweight adolescents. Conclusion: Social support helps adolescents to be active. Especially for obese adolescents, support by and relations with peers are important to reach a significant amount of PA.

Genomic signatures of thermal adaptation are associated with clinal shifts of life history in a broadly distributed frog.

Temperature is a critical driver of ectotherm life‐history strategies, whereby a warmer environment is associated with increased growth, reduced longevity and accelerated senescence. Increasing evidence indicates that thermal adaptation may underlie such life‐history shifts in wild populations. Single nucleotide polymorphisms (SNPs) and copy number variants (CNVs) can help uncover the molecular mechanisms of temperature‐driven variation in growth, longevity and senescence. However, our understanding of these mechanisms is still limited, which reduces our ability to predict the response of non‐model ectotherms to global temperature change.In this study, we examined the potential role of thermal adaptation in clinal shifts of life‐history traits (i.e. life span, senescence rate and recruitment) in the Columbia spotted frog Rana luteiventris along a broad temperature gradient in the western United States.We took advantage of extensive capture–recapture datasets of 20,033 marked individuals from eight populations surveyed annually for 14–18 years to examine how mean annual temperature and precipitation influenced demographic parameters (i.e. adult survival, life span, senescence rate, recruitment and population growth). After showing that temperature was the main climatic predictor influencing demography, we used RAD‐seq data (50,829 SNPs and 6,599 putative CNVs) generated for 352 individuals from 31 breeding sites to identify the genomic signatures of thermal adaptation.Our results showed that temperature was negatively associated with annual adult survival and reproductive life span and positively associated with senescence rate. By contrast, recruitment increased with temperature, promoting the long‐term viability of most populations. These temperature‐dependent demographic changes were associated with strong genomic signatures of thermal adaptation. We identified 148 SNP candidates associated with temperature including three SNPs located within protein‐coding genes regulating resistance to cold and hypoxia, immunity and reproduction in ranids. We also identified 39 CNV candidates (including within 38 transposable elements) for which normalized read depth was associated with temperature.Our study indicates that both SNPs and structural variants are associated with temperature and could eventually be found to play a functional role in clinal shifts in senescence rate and life‐history strategies in R. luteiventris. These results highlight the potential role of different sources of molecular variation in the response of ectotherms to environmental temperature variation in the context of global warming.

The role of regulatory, market and governance risk for electricity access investment in sub-Saharan Africa

Achieving universal electricity access in sub-Saharan Africa – a milestone of SDG 7 – requires about $30bn annually until 2030 on the top of baseline investment. The private sector plays a key role in supplying these investment flows, given the governmental budgetary constraints. Yet, private players face numerous sources of risk in their infrastructure investment decisions. This risk is usually factored in using a discount rate. To allow for a more realistic evaluation of the role of the investment environment in financing energy access, here we introduce the Electricity Access Governance Index (EAGI), a composite index of energy sector regulatory quality, energy sector governance, and market risk. The index is implemented through a discount rate conversion into a bottom-up integrated electricity planning model (IMAGE-TIMER) to evaluate the role of different sources of risk for electrification investment dynamics. Our results show that the adoption of decentralised systems for achieving universal energy access requires governance and institutional reform to lower discount rates faced by companies and households and mobilise private finance. Failure to reform investment environments will likely hamper the uptake of decentralised systems even in areas where they would be the techno-economically least-cost electrification option, and thus likely leave many without electricity.

Unequal chances: ex ante fairness and individual control

Unequal financial outcomes often originate from unequal chances. Yet, compared to outcomes, little is known about how individuals perceive unequal distributions of chances. We investigate empirically the role of different sources of unequal chances in shaping inequality perceptions. Importantly, we do so from an ex ante perspective—i.e., before the chances are realized—which has rarely been explored. In an online survey, we asked uninvolved respondents to evaluate ex ante the fairness of unequal allocations of chances. We varied the source of inequality of chances, using a comprehensive range of factors which resemble several real world situations. Respondents also evaluated how much control individuals hold over the distribution of chances. Results show that different sources generate different ex ante perception of fairness. That is, unequal chances based on socioeconomic and biological factors, such as gender, family income and ethnicity, are evaluated to be unfair relative to the same chances based on effort, knowledge, and benevolence. Results also show that, for most individuals, there is a positive correlation between perceived control of a factor and fairness of unequal chances based on that factor. Luck appears to be an exception to this correlation, ranking as high in fairness as effort, knowledge, and benevolence, but similarly low in individual control as ethnicity, family income, and gender.

Caught by Connections: The Mediating Roles of Social and Community Support after Interpersonal Violence.

The purpose of the present study was to examine the potential mediating roles of different sources of social support and sense of community on the relationship between interpersonal violence and mental health outcomes, negative posttraumatic cognitions, and posttraumatic growth. Participants (n = 459) completed an online survey. Interpersonal violence had a significant, direct effect on all posttraumatic outcomes. Support from significant others mediated the relationship between interpersonal violence and posttraumatic stress. Both support from family and a negative sense of community mediated the relationship between interpersonal violence and posttraumatic cognitions, while social support from friends and family and a positive sense of community mediated the relationship between interpersonal violence and posttraumatic growth. The results suggest that posttraumatic distress and growth may be impacted by different connection sources.

The impact of social support and morally injurious events on PTSD symptoms in Veterans

ABSTRACT Potentially morally injurious events (PMIEs), including committing transgressions (Transgressions-Self) and perceiving betrayals, have been positively associated with posttraumatic stress disorder (PTSD). A proposed mechanism for the association between PMIEs and PTSD symptoms is social disconnection. However, research on PMIEs and social disconnection is limited. Secondary data analysis from a larger study examined the moderating role of different sources of perceived social support (Family, Friends, and Significant Other) on the relation between PMIEs (Transgressions-Self and Betrayal) and PTSD. The interaction of Transgressions-Self and perceived social support subscales did not predict PTSD symptoms. However, the interaction of Betrayals and perceived social support (Significant Other and Family) predicted PTSD symptoms. Results suggest that perceived social support provides a protective effect for low to mean levels of perceived betrayals; however, for Veterans reporting high levels of betrayal, perceived social support did not attenuate PTSD symptom severity. Additional research on perceived betrayals and the association with PTSD is needed, especially for Veterans who experience high levels of perceived betrayals.

Climate impacts on tree growth in a Neotropical high mountain forest of the Peruvian Andes

Global warming can jeopardize important ecosystem functions and services in sensitive Neotropical mountain areas. However, untangling the relative roles of natural climate variability pattern from current global warming trends still represent a major challenge. Here, we propose a novel analytical approach based on Structural Equation Models to evaluate the relative roles of different sources of climate variability on tree growth. Specifically, we investigate direct and indirect linkages between Basal Area Increments (BAI) and a set of different climatic sources of variability, such as: (i) large-scale atmospheric oscillation patterns (i.e., the El Niño Southern Oscillation, ENSO and the Pacific Decadal Oscillation, PDO); and (ii) local meteorology in terms of temperature and precipitation. Additionally, we included in the SEM framework other important variables such as: (iii) calendar year (representative of temporal linear trends); and (iv) tree size (representative of main biological trends). Results indicate that the ENSO and PDO modulate minimum temperatures (Tmin) in the study area. These indices describe the oscillating behavior of the climatic modes (i.e., South Oscillation Index and PDO index) and are negatively correlated with Tmin. As such, they also influence tree growth (represented here by BAI) indirectly. Furthermore, through its direct impact on Tmin increase, ongoing climate warming has an indirect negative effect on BAI, thereby implying that the ongoing temperature rise could exert control on productivity in high mountain forests of the Andes, and that this influence could become more important with continued temperature increase.

Optimism-pessimism, conspiracy theories and general trust as factors contributing to COVID-19 related behavior – A cross-cultural study

The main aim of this research was to examine the role of optimism-pessimism, general trust and belief in conspiracy theories, in COVID-19 related fears, preventive and hoarding behaviors. We also examined the role of different sources of information in these relations. The convenience sample was used (N = 412) and it consisted of individuals from Serbia (N = 292) and Latin-America (N = 120). Following instruments were used: The Life Orientation Test (Scheier, Carver, & Bridges, 1994), Trust in people scale (Arbor, 1964), questions regarding fear, source of information, preventive behaviors and conspiracy constructed for the purposes of this research. The results suggest that fear of food shortage was the most pronounces one in both samples, followed by fear for oneself and finally by the fear for beloved others. Results suggest that optimists, those with high level of general trust and those who do not believe in conspiracy theories show lower level of fear and higher level of preventive behaviors. Pessimists on the other hand, show higher level of fear. Fear was related to all information sources suggesting that more information leads to higher intensity of fear – except information from the president which did not show any effect.

Mitochondrial ROS Formation in the Pathogenesis of Diabetic Cardiomyopathy.

Diabetic cardiomyopathy is a result of diabetes-induced changes in the structure and function of the heart. Hyperglycemia affects multiple pathways in the diabetic heart, but excessive reactive oxygen species (ROS) generation and oxidative stress represent common denominators associated with adverse tissue remodeling. Indeed, key processes underlying cardiac remodeling in diabetes are redox sensitive, including inflammation, organelle dysfunction, alteration in ion homeostasis, cardiomyocyte hypertrophy, apoptosis, fibrosis, and contractile dysfunction. Extensive experimental evidence supports the involvement of mitochondrial ROS formation in the alterations characterizing the diabetic heart. In this review we will outline the central role of mitochondrial ROS and alterations in the redox status contributing to the development of diabetic cardiomyopathy. We will discuss the role of different sources of ROS involved in this process, with a specific emphasis on mitochondrial ROS producing enzymes within cardiomyocytes. Finally, the therapeutic potential of pharmacological inhibitors of ROS sources within the mitochondria will be discussed.

PHARMACEUTICALS IN WATER CYCLE: A REVIEW ON RISK ASSESSMENT AND WASTEWATER AND SLUDGE TREATMENT

Pharmaceuticals in the environment are considered as emerging contaminants which are particularly persistent and which could represent a threat both for animals and humans following long-term exposure. Pharmaceuticals include, among others, antibiotics, anti-inflammatory drugs, steroid hormones, antidepressants, -blockers and lipid regulators. Excretion from humans is considered the main source of release of such compounds in the environment. The excreted compounds reach wastewater treatment plants (WWTPs), which demonstrated to be generally ineffective in removing emerging contaminants in the absence of advanced treatments. Due to the importance of the topic, which still represents an issue of great concern, this review analyses the scientific literature with the aim of investigating the role of different sources of release, the fate of pharmaceuticals in WWTPs, their typical levels in the aquatic environment, the estimated risk levels for the aquatic fauna and the potential effects on humans. In the last part of this study, different options to effectively reduce the concentrations of pharmaceuticals in effluents from WWTPs are reviewed and discussed, in order to provide environmental agencies and local administrators with an overview of the advanced treatments that are currently available to mitigate the impact of pharmaceuticals in downstream water bodies.