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International Journal of Environmental... Jan 2022Food safety inspections are a key health protection measure applied by governments to prevent foodborne illness, yet they remain the subject of sustained... (Review)
Review
Food safety inspections are a key health protection measure applied by governments to prevent foodborne illness, yet they remain the subject of sustained criticism. These criticisms include inconsistency and inadequacy of methods applied to inspection, and ineffectiveness in preventing foodborne illness. Investigating the validity of these criticisms represent important areas for further research. However, a defined construct around the meanings society attributes to food safety inspection must first be established. Through critical examination of available literature, this review identified meanings attributed to food safety inspection and explicates some of the key elements that compose food safety inspection as a social construct. A total of 18 meanings were found to be attributed to food safety inspection. Variation in meanings were found between consumers, food business associates and food safety inspectors. For some, inspection meant a source of assurance, for others a threat to fairness, while most view inspection as a product of resources and inspector training. The meanings were then examined in light of common criticisms directed at food safety inspection, to expound their influence in how food safety inspection is realized, shaped, and rationalized. This review highlights the influence of sociological factors in defining food safety inspection. .
Topics: Food Inspection; Food Safety; Foodborne Diseases; Humans
PubMed: 35055611
DOI: 10.3390/ijerph19020789 -
Philosophical Transactions of the Royal... Jul 2023The causes of biodiversity change are of great scientific interest and central to policy efforts aimed at meeting biodiversity targets. Changes in species diversity and... (Review)
Review
The causes of biodiversity change are of great scientific interest and central to policy efforts aimed at meeting biodiversity targets. Changes in species diversity and high rates of compositional turnover have been reported worldwide. In many cases, trends in biodiversity are detected, but these trends are rarely causally attributed to possible drivers. A formal framework and guidelines for the detection and attribution of biodiversity change is needed. We propose an inferential framework to guide detection and attribution analyses, which identifies five steps-causal modelling, observation, estimation, detection and attribution-for robust attribution. This workflow provides evidence of biodiversity change in relation to hypothesized impacts of multiple potential drivers and can eliminate putative drivers from contention. The framework encourages a formal and reproducible statement of confidence about the role of drivers after robust methods for trend detection and attribution have been deployed. Confidence in trend attribution requires that data and analyses used in all steps of the framework follow best practices reducing uncertainty at each step. We illustrate these steps with examples. This framework could strengthen the bridge between biodiversity science and policy and support effective actions to halt biodiversity loss and the impacts this has on ecosystems. This article is part of the theme issue 'Detecting and attributing the causes of biodiversity change: needs, gaps and solutions'.
Topics: Ecosystem; Biodiversity
PubMed: 37246383
DOI: 10.1098/rstb.2022.0182 -
Neuroscience May 2019Many, or most, tinnitus models rely on increased central gain in the auditory pathway as all or part of the explanation, in that central auditory neurones deprived of... (Review)
Review
Many, or most, tinnitus models rely on increased central gain in the auditory pathway as all or part of the explanation, in that central auditory neurones deprived of their usual sensory input maintain homeostasis by increasing the rate at which they fire in response to any given strength of input, including amplifying spontaneous firing which forms the basis of tinnitus. However, dramatic gain changes occur in response to damage to the auditory periphery, irrespective of whether tinnitus occurs. This article considers gain in its broadest sense, summarizes its contributory processes, neural manifestations, behavioral effects, techniques for its measurement, pitfalls in attributing gain changes to tinnitus, a discussion of the minimum evidential requirements to implicate gain as a necessary and/or sufficient basis to explain tinnitus, and the extent of existing evidence in this regard. Overall there is compelling evidence that peripheral auditory insults induce changes in neuronal firing rates, synchrony and neurochemistry and thus increase gain, but specific attribution of these changes to tinnitus is generally hampered by the absence of hearing-matched human control groups or insult-exposed non-tinnitus animals. A few studies show changes specifically attributable to tinnitus at group level, but the limited attempts so far to classify individual subjects based on gain metrics have not proven successful. If gain turns out to be unnecessary or insufficient to cause tinnitus, candidate additional mechanisms include focused attention, resetting of sensory predictions, failure of sensory gating, altered sensory predictions, formation of pervasive memory traces and/or entry into global perceptual networks. This article is part of a Special Issue entitled: Hearing Loss, Tinnitus, Hyperacusis, Central Gain.
Topics: Acoustic Stimulation; Animals; Auditory Pathways; Cochlea; Hearing; Humans; Hyperacusis; Tinnitus
PubMed: 30690137
DOI: 10.1016/j.neuroscience.2019.01.027 -
Environmental Health Perspectives Aug 2017Detection and attribution of health impacts caused by climate change uses formal methods to determine ) whether the occurrence of adverse health outcomes has changed,... (Review)
Review
BACKGROUND
Detection and attribution of health impacts caused by climate change uses formal methods to determine ) whether the occurrence of adverse health outcomes has changed, and ) the extent to which that change could be attributed to climate change. There have been limited efforts to undertake detection and attribution analyses in health.
OBJECTIVE
Our goal was to show a range of approaches for conducting detection and attribution analyses.
RESULTS
Case studies for heatwaves, Lyme disease in Canada, and emergence in northern Europe highlight evidence that climate change is adversely affecting human health. Changes in rates and geographic distribution of adverse health outcomes were detected, and, in each instance, a proportion of the observed changes could, in our judgment, be attributed to changes in weather patterns associated with climate change.
CONCLUSIONS
The results of detection and attribution studies can inform evidence-based risk management to reduce current, and plan for future, changes in health risks associated with climate change. Gaining a better understanding of the size, timing, and distribution of the climate change burden of disease and injury requires reliable long-term data sets, more knowledge about the factors that confound and modify the effects of climate on health, and refinement of analytic techniques for detection and attribution. At the same time, significant advances are possible in the absence of complete data and statistical certainty: there is a place for well-informed judgments, based on understanding of underlying processes and matching of patterns of health, climate, and other determinants of human well-being. https://doi.org/10.1289/EHP1509.
Topics: Canada; Climate Change; Environmental Health; Europe; Extreme Heat; Humans; Lyme Disease; Vibrio Infections
PubMed: 28796635
DOI: 10.1289/EHP1509 -
Zoonoses and Public Health Aug 2022Numerous source attribution studies for foodborne pathogens based on epidemiological and microbiological methods are available. These studies provide empirical data for... (Meta-Analysis)
Meta-Analysis
Numerous source attribution studies for foodborne pathogens based on epidemiological and microbiological methods are available. These studies provide empirical data for modelling frameworks that synthetize the quantitative evidence at our disposal and reduce reliance on expert elicitations. Here, we develop a statistical model within a Bayesian estimation framework to integrate attribution estimates from expert elicitations with estimates from microbial subtyping and case-control studies for sporadic infections with four major bacterial zoonotic pathogens in the Netherlands (Campylobacter, Salmonella, Shiga toxin-producing E. coli [STEC] O157 and Listeria). For each pathogen, we pooled the published fractions of human cases attributable to each animal reservoir from the microbial subtyping studies, accounting for the uncertainty arising from the different typing methods, attribution models, and year(s) of data collection. We then combined the population attributable fractions (PAFs) from the case-control studies according to five transmission pathways (domestic food, environment, direct animal contact, human-human transmission and travel) and 11 groups within the foodborne pathway (beef/lamb, pork, poultry meat, eggs, dairy, fish/shellfish, fruit/vegetables, beverages, grains, composite foods and food handlers/vermin). The attribution estimates were biologically plausible, allowing the human cases to be attributed in several ways according to reservoirs, transmission pathways and food groups. All pathogens were predominantly foodborne, with Campylobacter being mostly attributable to the chicken reservoir, Salmonella to pigs (albeit closely followed by layers), and Listeria and STEC O157 to cattle. Food-wise, the attributions reflected those at the reservoir level in terms of ranking. We provided a modelling solution to reach consensus attribution estimates reflecting the empirical evidence in the literature that is particularly useful for policy-making and is extensible to other pathogens and domains.
Topics: Animals; Bayes Theorem; Campylobacter; Cattle; Cattle Diseases; Escherichia coli; Food Microbiology; Foodborne Diseases; Listeria; Models, Statistical; Ovum; Salmonella; Sheep; Sheep Diseases; Swine; Swine Diseases
PubMed: 35267243
DOI: 10.1111/zph.12937 -
Scientific Reports Jul 2023People tend to expect mental capabilities in a robot based on anthropomorphism and often attribute the cause and responsibility for a failure in human-robot interactions...
People tend to expect mental capabilities in a robot based on anthropomorphism and often attribute the cause and responsibility for a failure in human-robot interactions to the robot. This study investigated the relationship between mind perception, a psychological scale of anthropomorphism, and attribution of the cause and responsibility in human-robot interactions. Participants played a repeated noncooperative game with a human, robot, or computer agent, where their monetary rewards depended on the outcome. They completed questionnaires on mind perception regarding the agent and whether the participant's own or the agent's decisions resulted in the unexpectedly small reward. We extracted two factors of Experience (capacity to sense and feel) and Agency (capacity to plan and act) from the mind perception scores. Then, correlation and structural equation modeling (SEM) approaches were used to analyze the data. The findings showed that mind perception influenced attribution processes differently for each agent type. In the human condition, decreased Agency score during the game led to greater causal attribution to the human agent, consequently also increasing the degree of responsibility attribution to the human agent. In the robot condition, the post-game Agency score decreased the degree of causal attribution to the robot, and the post-game Experience score increased the degree of responsibility to the robot. These relationships were not observed in the computer condition. The study highlights the importance of considering mind perception in designing appropriate causal and responsibility attribution in human-robot interactions and developing socially acceptable robots.
Topics: Humans; Robotics; Social Behavior; Emotions; Social Perception; Reward
PubMed: 37507519
DOI: 10.1038/s41598-023-39435-5 -
Medical Science Educator Jun 2019There is strong evidence that dishonesty occurs amongst medical students, and other allied health students and growing evidence that it occurs amongst medical academics....
There is strong evidence that dishonesty occurs amongst medical students, and other allied health students and growing evidence that it occurs amongst medical academics. We believe that accidental dishonesty (or not knowing about the rules of regulations governing academic integrity) is a common attribution describing engagement in dishonesty; however, we believe that dishonest action is more often influenced and determined according to circumstance. In this paper, we aim to work through the literature that frames dishonest action with a focus on medical education, research and publication. We argue that the implications for medical education are far reaching and the root causes of many instances of dishonesty need to be more fully understood so that comprehensive, case-by-case ameliorative strategies can be developed.
PubMed: 34457515
DOI: 10.1007/s40670-019-00710-8 -
Frontiers in Psychology 2017Evolutionary theory was applied to Reeder and Brewer's schematic theory and Trafimow's affect theory to extend this area of research with five new predictions involving...
Evolutionary theory was applied to Reeder and Brewer's schematic theory and Trafimow's affect theory to extend this area of research with five new predictions involving affect and ability attributions, comparing morality and ability attributions, gender differences, and reaction times for affect and attribution ratings. The design included a 2 (Trait Dimension Type: HR, PR) × 2 (Behavior Type: morality, ability) × 2 (Valence: positive, negative) × 2 (Replication: original, replication) × 2 (Sex: female or male actor) × 2 (Gender: female or male participant) × 2 (Order: attribution portion first, affect portion first) mixed design. All factors were within participants except the order and participant gender. Participants were presented with 32 different scenarios in which an actor engaged in a concrete behavior after which they made attributions and rated their affect in response to the behavior. Reaction times were measured during attribution and affect ratings. In general, the findings from the experiment supported the new predictions. Affect was related to attributions for both morality and ability related behaviors. Morality related behaviors received more extreme attribution and affect ratings than ability related behaviors. Female actors received stronger attribution and affect ratings for diagnostic morality behaviors compared to male actors. Male and female actors received similar attribution and affect ratings for diagnostic ability behaviors. Diagnostic behaviors were associated with lower reaction times than non-diagnostic behaviors. These findings demonstrate the utility of evolutionary theory in creating new hypotheses and empirical findings in the domain of attribution.
PubMed: 29312092
DOI: 10.3389/fpsyg.2017.02255 -
Psychological Bulletin Sep 2014Conventional wisdom and survey data indicate that alcohol is a social lubricant and is consumed for its social effects. In contrast, the experimental literature... (Review)
Review
Conventional wisdom and survey data indicate that alcohol is a social lubricant and is consumed for its social effects. In contrast, the experimental literature examining alcohol's effects within a social context reveals that alcohol does not consistently enhance social-emotional experience. We identify a methodological factor that might explain inconsistent alcohol-administration findings, distinguishing between studies featuring unscripted interactions among naïve participants (k = 18) and those featuring scripted social interactions with individuals identified as study confederates (k = 18). While 89% of naïve-participant studies find positive effects of alcohol on mood (d = 0.5), only 11% of confederate studies find evidence of significant alcohol-related mood enhancement (d = -0.01). The naïve-participant versus confederate distinction remains robust after controlling for various moderators including stress manipulations, gender, group size, anxiety outcome measure, and within-group consistency of beverage assignment. Based on the findings of our review, we propose a multidimensional, social-attributional framework for understanding alcohol-related reward. Borrowing organizing principles from attribution theory, the social-attributional approach predicts that alcohol will enhance mood when negative outcomes are perceived to be unstable and/or self-relevant. Our framework proposes that alcohol's effects within a social context are largely explained by its tendency to free individuals from preoccupation with social rejection, allowing them to access social rewards. The social-attributional approach represents a novel framework for integrating distinct, well-validated concepts derived from several theories of alcohol's effects. It further presents promising lines of inquiry for future research examining the role of social factors in alcohol reward and addiction susceptibility.
Topics: Alcohol Drinking; Emotions; Humans; Interpersonal Relations; Perception; Social Environment; Social Perception
PubMed: 25180806
DOI: 10.1037/a0037563 -
The Journal of Head Trauma...In participants with traumatic brain injury (TBI) and peer controls, examine (1) differences in negative attributions (interpret ambiguous behaviors negatively); (2)...
OBJECTIVE
In participants with traumatic brain injury (TBI) and peer controls, examine (1) differences in negative attributions (interpret ambiguous behaviors negatively); (2) cognitive and emotional factors associated with negative attributions; and (3) negative attribution associations with anger responses, life satisfaction, and participation.
SETTING
Two TBI outpatient rehabilitation centers.
PARTICIPANTS
Participants with complicated mild to severe TBI (n = 105) and peer controls (n = 105).
DESIGN
Cross-sectional survey study.
MAIN MEASURES
Hypothetical scenarios describing ambiguous behaviors were used to assess situational anger and attributions of intent, hostility, and blame. Executive functioning, perspective taking, emotion perception and social inference, alexithymia, aggression, anxiety, depression, participation, and life satisfaction were also assessed.
RESULTS
Compared with peer controls, participants with TBI rated behaviors significantly more intentional, hostile, and blameworthy. Regression models explained a significant amount of attribution variance (25%-43%). Aggression was a significant predictor in all models; social inference was also a significant predictor of intent and hostility attributions. Negative attributions were associated with anger responses and lower life satisfaction.
CONCLUSION
People with TBI who have higher trait aggression and poor social inferencing skills may be prone to negative interpretations of people's ambiguous actions. Negative attributions and social inferencing skills should be considered when treating anger problems after TBI.
Topics: Aggression; Brain Injuries; Cross-Sectional Studies; Hostility; Humans; Risk Factors; Social Perception
PubMed: 32769831
DOI: 10.1097/HTR.0000000000000600