Document Detail


Probabilistic modelling of human exposure to intense sweeteners in Italian teenagers: validation and sensitivity analysis of a probabilistic model including indicators of market share and brand loyalty.
MedLine Citation:
PMID:  14555359     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
For the assessment of exposure to food-borne chemicals, the most commonly used methods in the European Union follow a deterministic approach based on conservative assumptions. Over the past few years, to get a more realistic view of exposure to food chemicals, risk managers are getting more interested in the probabilistic approach. Within the EU-funded 'Monte Carlo' project, a stochastic model of exposure to chemical substances from the diet and a computer software program were developed. The aim of this paper was to validate the model with respect to the intake of saccharin from table-top sweeteners and cyclamate from soft drinks by Italian teenagers with the use of the software and to evaluate the impact of the inclusion/exclusion of indicators on market share and brand loyalty through a sensitivity analysis. Data on food consumption and the concentration of sweeteners were collected. A food frequency questionnaire aimed at identifying females who were high consumers of sugar-free soft drinks and/or of table top sweeteners was filled in by 3982 teenagers living in the District of Rome. Moreover, 362 subjects participated in a detailed food survey by recording, at brand level, all foods and beverages ingested over 12 days. Producers were asked to provide the intense sweeteners' concentration of sugar-free products. Results showed that consumer behaviour with respect to brands has an impact on exposure assessments. Only probabilistic models that took into account indicators of market share and brand loyalty met the validation criteria.
Authors:
D Arcella; M E Soggiu; C Leclercq
Related Documents :
2096849 - Airborne endotoxin concentrations in various work areas within two cotton textile mills...
485209 - Absorption and elimination of 14c-cis-chlordane and 14c-photo-cis-chlordane by goldfish...
11312039 - Comparing the clastogenic potential of atrazine with caffeine using chinese hamster ova...
10385879 - Airborne manganese particulates and methylcyclopentadienyl manganese tricarbonyl (mmt) ...
9838869 - Quartz exposure in the slate industry in northern norway.
25024149 - A field study of prey selection in planktivorous fish larvae.
19205239 - Incorporation of sb in zno nanostructures through hydrothermal process.
8465679 - A sequential behavioral analysis of craving sweets in obese women.
16997349 - Bioconcentration, biomagnification and metabolism of 14c-terbutryn and 14c-benzo[a]pyre...
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Validation Studies    
Journal Detail:
Title:  Food additives and contaminants     Volume:  20 Suppl 1     ISSN:  0265-203X     ISO Abbreviation:  Food Addit Contam     Publication Date:  2003 Oct 
Date Detail:
Created Date:  2003-10-13     Completed Date:  2004-02-10     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8500474     Medline TA:  Food Addit Contam     Country:  England    
Other Details:
Languages:  eng     Pagination:  S73-86     Citation Subset:  IM    
Affiliation:
INRAN-National Research Institute for Food and Nutrition, Rome, Italy.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Adolescent
Consumer Satisfaction
Diet Surveys
Eating
Economic Competition
Female
Food Additives / administration & dosage*
Humans
Italy
Male
Models, Statistical*
Reproducibility of Results
Sensitivity and Specificity
Sweetening Agents / administration & dosage*
Chemical
Reg. No./Substance:
0/Food Additives; 0/Sweetening Agents

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Validation analysis of probabilistic models of dietary exposure to food additives.
Next Document:  Validation and sensitivity analysis of a probabilistic model for dietary exposure assessment to pest...