Application and validation of approaches for the predictive hazard assessment of realistic pesticide mixtures

Junghans, Marion; Backhaus, Thomas; Faust, Martin L.; Scholze, Martin; Grimme, L. Horst

doi:10.1016/j.aquatox.2005.10.001

Cited by 227 publications

(160 citation statements)

References 44 publications

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“…Conceptually, the TSP approach is the best to assess pesticide mixtures that can be expected to be neither strictly similarly ñor strictly dissimilarly acting. Taking into account that the mixture responses calculated using the CA model are usually higher than those calculated with the IA model, CA can be assumed as a conservative but "reasonable" worstcase [6,12,14,16,24],…”

Section: Methodsmentioning

confidence: 99%

“…The LA approach assumes that the overall response of an ecosystem to a mixture of chemicals is the sum of responses to individual chemicals. The two models are applicable to chemicals with the same mode o f action or to chemicals with different modes of action respectively Assuming that environmentally relevant mixtures have heterogeneous mechanisms of action, a two-stage prediction approach (TSP) was developed [24] by combining the CA and LA models. Conceptually, the TSP approach is the best to assess pesticide mixtures that can be expected to be neither strictly similarly ñor strictly dissimilarly acting.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Mapping Cumulative Environmental Risks: Examples from the EU NoMiracle Project

Pistocchi

Groenwold

Lahr

et al. 2010

Environ Model Assess

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We present examples of cumulative chemical risk mapping methods developed within the NoMiracle project. The different examples illustrate the application of the concentration addition (CA) approach to pesticides at different scale, the integration in space of cumulative risks to individual organisms under the CA assumption, and two techniques to (1) intégrate risks using data-driven, parametric statistical methods, and (2) cluster together áreas with similar occurrence of different risk factors, respectively The examples are used to discuss some general issues, particularly on the conventional nature of cumulative risk maps, and may provide some suggestions for the praetiee of cumulative risk mapping.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Mapping Cumulative Environmental Risks: Examples from the EU NoMiracle Project

Pistocchi

Groenwold

Lahr

et al. 2010

Environ Model Assess

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show abstract

“…It has been proved that the CA model provides highly accurate predictions of mixture toxicity when all of the components have a strictly similar mode of action, regardless of their levels and ratios in the mixture (Faust et al, 2001;Zwart and Posthuma, 2005;Junghans et al, 2006). However the CA model is not adapted to mixtures with components having dissimilar modes of action because it leads to an overestimation of the toxicity of such mixtures .…”

Section: Critical Overview Of the Ca And Ia Modelsmentioning

confidence: 99%

“…This model provides accurate predictions of the mixture toxicity when all of the components have dissimilar modes of action, regardless of their levels and ratios in the mixture . However the IA model is not adapted to mixtures with similar acting components because it leads to an underestimation of the overall toxicity (Faust et al, 2001;Junghans et al, 2006). Two main difficulties still remains.…”

Section: Critical Overview Of the Ca And Ia Modelsmentioning

confidence: 99%

Combined Exposure to Mixture of Chemicals. An Impossible Challenge?

Degiorgi¹,

Adam²,

Gregorio³

2011

Pesticides - The Impacts of Pesticides Exposure

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“…If detailed information on concentration response curves is not available at least an overall assessment of the deviations is possible. The maximum factor by which predictions of a combined effect based on CA compared to IA differ equals the number of agents combined [45].…”

Section: Interrelationships and The Importance Of Concentration-respomentioning

confidence: 99%

The scientific assessment of combined effects of risk factors: different approaches in experimental biosciences and epidemiology

Boedeker¹,

Backhaus

2010

Eur J Epidemiol

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To cite this version:Wolfgang Boedeker, Thomas Backhaus. The scientific assessment of combined effects of risk factors: different approaches in experimental biosciences and epidemiology. European Journal of Epidemiology, Springer Verlag, 2010, 25 (8) Abstract (233 words)The analysis of combined effects of substances or risk factors has been a subject to science for more than a century. With different goals, combined effect analysis was addressed in almost all experimental biosciences. The major theoretical foundation can be traced back to two distinct origins. First, to the work by the pharmacologist Loewe on the concept of concentration additivity and second to the biometrician Bliss and the concept of independent action. In the search for a general solution and a unified terminology the interrelations of the concepts have extensively been studied and experimental findings reviewed. Meanwhile there seems to be consensus in experimental sciences that each concept has its role in predicting combined effect of agents and both are used for hazard und risk management.In contrast, epidemiologists describe combined effects mainly in terms of interactions in regression models. Although this approach started from a probabilistic model equivalent to the concept of independent action this origin is rarely acknowledged and effect summation is usually the preferred concept nowadays. Obscure biological meaning, the scale dependency of interaction terms as well as unavoidable residual confounding are taken as reasons why no new insights in combined effect analysis are likely to occur from epidemiology.In this paper we sketch the history of ideas and the state of the arts in combined effect analysis. We point to differences and common grounds in experimental biosciences and epidemiology.

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Application and validation of approaches for the predictive hazard assessment of realistic pesticide mixtures

Cited by 227 publications

References 44 publications

Mapping Cumulative Environmental Risks: Examples from the EU NoMiracle Project

Mapping Cumulative Environmental Risks: Examples from the EU NoMiracle Project

Combined Exposure to Mixture of Chemicals. An Impossible Challenge?

The scientific assessment of combined effects of risk factors: different approaches in experimental biosciences and epidemiology

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