scholarly journals Data collection for the estimation of ecological data (specific focal species, time spent in treated areas collecting food, composition of diet), residue level and residue decline on food items to be used in the risk assessment for birds and mammals

2018 ◽  
Vol 15 (11) ◽  
Author(s):  
Joost Lahr ◽  
Wolfgang Krämer ◽  
Vanessa Mazerolles ◽  
Véronique Poulsen ◽  
Daniela Jölli ◽  
...  
2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Sarah Looby ◽  
Sophie Govzman ◽  
Bella (Xiyao) Wang ◽  
Francis Butler ◽  
Claire Timon ◽  
...  

AbstractIntroductionHealthy eating recommendations advise eating two portions of fish per week. Although seafood consumption has doubled globally over the last 50 years there is currently very little data on seafood consumption in Ireland. It is important to know what is being consumed by a population for nutritional and food safety purposes. The aim of this study is to collect reported dietary intake data from Irish seafood consumers, using an online dietary intake assessment tool, to determine habitual intakes of seafood for use in risk assessment.Materials and MethodsFoodbook24 is a self-administered, online 24hr recall tool developed for the purpose of nutritional surveillance in Ireland. For the purpose of this study it was further developed to include a detailed list of seafood regularly consumed in Ireland. Foods were selected using established food databases (Langual, FoodEx2 and BIM Seafood Handbook). Food composition was determined using McCance and Widdowson (7th Ed.) and portion sizes were based on NANS, published portion size books and recipes. Participants will be recruited using commonly used approaches; radio adverts & face-to-face recruitment. Seafood consumers (n = 1000), balanced for gender, age and urban/rural location, will be targeted. Participants will complete 2×24hr recalls, over 2 weeks, and complete an accompanying food frequency questionnaire. Demographic and lifestyle data will also be collected.ResultsIn the development of the tool, a total of 246 foods were added to Foodbook24, including 38 species of fish, with approximately 2–25 fish dishes for each fish. The composition of 156 foods were a direct match to McCance and Widdowson, 36 were similar and 24 used a combination of foods. For fish meals and recipes, 17 meals had a direct match in McCance and Widdowson and 10 were obtained using the average of 3 recipes. Foodbook24 contained a large proportion (92%) of the relevant portion sizes, others came from relevant books and recipes.DiscussionData collection is currently ongoing, but it is expected that the study will represent a significant step forward in public health policy contribution by characterising the likelihood of illness within a population on an annual basis. Furthermore, it will demonstrate the use of novel intake assessment technologies for fast and cost-effective collection of data for risk assessment purposes, reducing the time and cost required for data collection.


2019 ◽  
Vol 15 (7) ◽  
pp. 685-693
Author(s):  
Arushi Jain ◽  
Pulkit Mathur

Background: Sulphites added as preservatives in food have been associated with adverse health effects in humans. Objective: The present study was designed with an objective of assessing the risk of sulphite exposure through food in adolescents (12-16 years old) of Delhi, India. Methods: A total of 1030 adolescents selected from four private and four government schools of Delhi, were asked to record their food intake using a 24 hour food record, repeated on three days, for assessing exposure to sulphites. The risk was assessed using six different scenarios of exposure. Results: The actual intake for sulphites for average consumers was 0.15 ± 0.13 mg / kg b.w. / day which was 21.4% of acceptable daily intake (ADI). For high consumers (P95), it was 65% of the ADI. However, for 2 respondents, the actual intake exceeded the ADI. The major food contributors to sulphite intake were beverage concentrates (46%), ready to serve beverages (22%) followed by miscellaneous food items (16%), mainly ice creams and snowballs. Estimation of sulphite intake using different exposure scenarios revealed that for certain scenarios where the highest reported sulphite level or maximum permissible levels were considered for calculation, the high consumers exceeded the ADI, though, for average consumers, intake was well below the ADI. Conclusion: Actual intake of sulphite for average consumers was well below the ADI but for high consumers was approaching the ADI. People with sulphite sensitivity need to be aware of hidden food sources of sulphites.


Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1668
Author(s):  
Juliana Chen ◽  
Solène Bertrand ◽  
Olivier Galy ◽  
David Raubenheimer ◽  
Margaret Allman-Farinelli ◽  
...  

The food environment in New Caledonia is undergoing a transition, with movement away from traditional diets towards processed and discretionary foods and beverages. This study aimed to develop an up-to-date food composition database that could be used to analyze food and nutritional intake data of New Caledonian children and adults. Development of this database occurred in three phases: Phase 1, updating and expanding the number of food items to represent current food supply; Phase 2, refining the database items and naming and assigning portion size images for food items; Phase 3, ensuring comprehensive nutrient values for all foods, including saturated fat and total sugar. The final New Caledonian database comprised a total of 972 food items, with 40 associated food categories and 25 nutrient values and 615 items with portion size images. To improve the searchability of the database, the names of 593 food items were shortened and synonyms or alternate spelling were included for 462 foods. Once integrated into a mobile app-based multiple-pass 24-h recall tool, named iRecall.24, this country-specific food composition database would support the assessment of food and nutritional intakes of families in New Caledonia, in a cross-sectional and longitudinal manner, and with translational opportunities for use across the wider Pacific region.


2017 ◽  
Author(s):  
Timothée Poisot ◽  
Richard Labrie ◽  
Erin Larson ◽  
Anastasia Rahlin

AbstractComputational thinking is the integration of algorithms, software, and data, to solve general questions in a field. Computation ecology has the potential to transform the way ecologists think about the integration of data and models. As the practice is gaining prominence as a way to conduct ecological research, it is important to reflect on what its agenda could be, and how it fits within the broader landscape of ecological research. In this contribution, we suggest areas in which empirical ecologists, modellers, and the emerging community of computational ecologists could engage in a constructive dialogue to build on one another’s expertise; specifically, about the need to make predictions from models actionable, about the best standards to represent ecological data, and about the proper ways to credit data collection and data reuse. We discuss how training can be amended to improve computational literacy.


2021 ◽  
Author(s):  
Md Mostafizur Rahman ◽  
Srinivas Mukund Vadrev ◽  
Arturo Magana-Mora ◽  
Jacob Levman ◽  
Othman Soufan

Abstract Food-drug interactions (FDIs) arise when nutritional dietary consumption regulates biochemical mechanisms involved in drug metabolism. These interactions can create unexpected adverse pharmacological effects. By contrast, particular foods can aid in the recovery process of a patient. Towards characterizing the nature of food’s influence on pharmacological treatment, it is essential to detect all possible FDIs. In this study, we propose FDMine, a novel systematic framework that models the FDI problem as a homogenous graph. In this graph, all nodes representing drug, food and food composition are referenced as chemical structures. This homogenous representation enables us to take advantage of reported drug-drug interactions for accuracy evaluation, especially when accessible ground truth for FDIs is lacking. Our dataset consists of 788 unique approved small molecule drugs with metabolism-related drug-drug interactions (DDIs) and 320 unique food items, composed of 563 unique compounds with 179 health effects. The potential number of interactions is 87,192 and 92,143 when two different versions of the graph referred to as disjoint and joint graphs are considered, respectively. We defined several similarity subnetworks comprising food-drug similarity (FDS), drug-drug similarity (DDS), and food-food similarity (FFS) networks, based on similarity profiles. A unique part of the graph is the encoding of the food composition as a set of nodes and calculating a content contribution score to re-weight the similarity links. To predict new FDI links, we applied the path category-based (path length 2 and 3) and neighborhood-based similarity-based link prediction algorithms. We calculated the precision@top (top 1%, 2%, and 5%) of the newly predicted links, the area under the receiver operating characteristic curve, and precision-recall curve. We have performed three types of evaluations to benchmark results using different types of interactions. The shortest path-based method has achieved a precision 84%, 60% and 40% for the top 1%, 2% and 5% of FDIs identified, respectively. We validated the top FDIs predicted using FDMine to demonstrate its applicability and we relate therapeutic anti-inflammatory effects of food items informed by FDIs. We hypothesize that the proposed framework can be used to gain new insights on FDIs. FDMine is publicly available to support clinicians and researchers.


2018 ◽  
Vol 21 (7) ◽  
pp. 1307-1318 ◽  
Author(s):  
Xiaofang Jia ◽  
Jiawu Liu ◽  
Bo Chen ◽  
Donghui Jin ◽  
Zhongxi Fu ◽  
...  

AbstractObjectiveEating away from home is associated with poor diet quality, in part due to less healthy food choices and larger portions. However, few studies account for the potential additional contribution of differences in food composition between restaurant- and home-prepared dishes. The present study aimed to investigate differences in nutrients of dishes prepared in restaurants v. at home.DesignEight commonly consumed dishes were collected in twenty of each of the following types of locations: small and large restaurants, and urban and rural households. In addition, two fast-food items were collected from ten KFC, McDonald’s and food stalls. Five samples per dish were randomly pooled from every location. Nutrients were analysed and energy was calculated in composite samples. Differences in nutrients of dishes by preparation location were determined.SettingHunan Province, China.SubjectsNa, K, protein, total fat, fatty acids, carbohydrate and energy in dishes.ResultsOn average, both the absolute and relative fat contents, SFA and Na:K ratio were higher in dishes prepared in restaurants than households (P < 0·05). Protein was 15 % higher in animal food-based dishes prepared in households than restaurants (P<0·05). Quantile regression models found that, at the 90th quantile, restaurant preparation was consistently negatively associated with protein and positively associated with the percentage of energy from fat in all dishes. Moreover, restaurant preparation also positively influenced the SFA content in dishes, except at the highest quantiles.ConclusionsThese findings suggest that compared with home preparation, dishes prepared in restaurants in China may differ in concentrations of total fat, SFA, protein and Na:K ratio, which may further contribute, beyond food choices, to less healthy nutrient intakes linked to eating away from home.


2020 ◽  
Vol 72 (12) ◽  
pp. 62-63
Author(s):  
Chris Carpenter

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 199412, “New Produced-Water Risk-Based-Approach Guidance,” by Mathijs Smit, Shell; Sean Hayes, More Energy; and Oliver Pelz, BP, et al., for the 2020 SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability, originally scheduled to be held in Bogota, Colombia, 17-19 March. The paper has not been peer reviewed. A global trend has developed toward the application of risk- based assessment (RBA) techniques for managing environmental risks and considering potential effects of produced-water (PW) discharge. The main objective of the complete paper is to achieve harmony in the means by which operators execute RBA for offshore PW discharges. This coordination is likely to enhance broader understanding and acceptance of RBA techniques internationally. RBA Techniques Key Principles. An RBA approach to managing PW begins with an assessment objective (e.g., demonstrating no adverse effect outside an accepted zone). The RBA characterizes the risk (i.e., the likelihood that adverse effects may occur) to the environment of a PW discharge given the exposure resulting from effluent discharge and the sensitivity of the receiving environment to exposure. To assess the risks of discharge, existing international frameworks for ecological risk assessment are available. These frameworks include data collection, hazard assessment, exposure assessment, and risk characterization. The specifics of data collection depend on the form of the hazard assessment and the exposure assessment, which, in turn, are dependent on the risk characterization, which allows compliance with the assessment objective to be evaluated. The purpose of the RBA for PW can be to target no adverse effect beyond an accepted zone or to serve as a management tool to drive continuous improvement. The risk-assessment steps usually are executed through a tiered process. Regulatory Approaches to RBA. At the time of writing, only a handful of regulatory frameworks for offshore PW management include principles of RBA. Table 1 of the complete paper provides a comparison of different assessment objectives and endpoints for regulatory PW RBA approaches used in selected basins. The table makes clear that it is not practical or necessary to meet the required criteria at the end of the pipe. Common practice defines a zone where the defined threshold may still be exceeded. This zone is often referred to as the mixing zone. While the use of a 500-m mixing zone is common practice offshore Brazil, for instance, in the US Gulf of Mexico, a 100-m mixing zone is applied. Different thresholds are applied in the different jurisdictions that justify the mixing zones. Defining the Adverse Effect Threshold. The three regulatory approaches presented in Table 1 of the complete paper apply different methodologies for defining the threshold level of adverse effects that should not be exceeded.


2019 ◽  
pp. 528-543
Author(s):  
Khashayar Hojjati-Emami ◽  
Balbir S. Dhillon ◽  
Kouroush Jenab

Human error has played a critical role in the events precipitating the road accidents. Such accidents can be predicted and prevented by risk assessment, in particular assessing the human contribution to risk. As part of the Human Reliability Assessment (HRA) process, it is usually necessary not only to define what human errors can occur, but how often they will occur. Lack of understanding of the failure distribution characteristics of drivers on roads at any given time is a factor impeding the development of human reliability assessment and prediction of road accidents in order to take best proactive measures. The authors developed the complete investigation methodology for crash data collection. Furthermore, they have experimentally tested the proposed predictive behavioral characteristics of drivers in light of their instantaneous error rate over the course of driving period to assist processing and analysis of data collection as part of risk assessment. The findings of this research can assist road safety authorities to collect the necessary data, to better understand the behavioral characteristics of drivers on roads, to make more accurate risk assessments and finally to come up with right preventive measures.


2018 ◽  
Vol 14 (5) ◽  
pp. 537-551 ◽  
Author(s):  
Martin Vallon ◽  
Christian Dietzen ◽  
Silke Laucht ◽  
Jan-Dieter Ludwigs

1991 ◽  
Vol 5 (3) ◽  
pp. 333-346 ◽  
Author(s):  
Melissa M. Adams ◽  
Holly B. Shulman ◽  
Carol Bruce ◽  
Carol Hogue ◽  
Donna Brogan

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