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Estimated dietary pesticide exposure from plant-based foods using NMF-derived profiles in a large sample of French adults

Rebouillat, Pauline LU orcid ; Vidal, Rodolphe ; Cravedi, Jean-Pierre ; Taupier-Letage, Bruno ; Debrauwer, Laurent ; Gamet-Payrastre, Laurence ; Touvier, Mathilde ; Hercberg, Serge ; Lairon, Denis and Baudry, Julia , et al. (2021) In European Journal of Nutrition 60. p.1475-1488
Abstract

PURPOSE: This study, conducted in participants of the NutriNet-Santé cohort, aims to identify dietary pesticide exposure profiles (derived from Non-negative Matrix Factorization) from conventional and organic foods among a large sample of general population French adults.

METHODS: Organic and conventional dietary intakes were assessed using a self-administered semi-quantitative food frequency questionnaire. Exposure to 25 commonly used pesticides was evaluated using food contamination data from Chemisches und Veterinäruntersuchungsamt Stuttgart accounting for farming system (organic or conventional). Dietary pesticide exposure profiles were identified using Non-Negative Matrix factorization (NMF), especially adapted for... (More)

PURPOSE: This study, conducted in participants of the NutriNet-Santé cohort, aims to identify dietary pesticide exposure profiles (derived from Non-negative Matrix Factorization) from conventional and organic foods among a large sample of general population French adults.

METHODS: Organic and conventional dietary intakes were assessed using a self-administered semi-quantitative food frequency questionnaire. Exposure to 25 commonly used pesticides was evaluated using food contamination data from Chemisches und Veterinäruntersuchungsamt Stuttgart accounting for farming system (organic or conventional). Dietary pesticide exposure profiles were identified using Non-Negative Matrix factorization (NMF), especially adapted for non-negative data with excess zeros. The NMF scores were introduced in a hierarchical clustering process.

RESULTS: Overall, the identified clusters (N = 34,193) seemed to be exposed to the same compounds with gradual intensity. Cluster 1 displayed the lowest energy intake and estimated dietary pesticide exposure, high organic food (OF) consumption (23.3%) and a higher proportion of male participants than other groups. Clusters 2 and 5 presented intermediate energy intake, lower OF consumption and intermediate estimated pesticide exposure. Cluster 3 showed high conventional fruits and vegetable (FV) intake, high estimated pesticide exposure, and fewer smokers. Cluster 4 estimated pesticide exposure varied more across compounds than for other clusters, with highest estimated exposures for acetamiprid, azadirachtin, cypermethrin, pyrethrins, spinosad. OF proportion in the diet was the highest (31.5%).

CONCLUSION: Estimated dietary pesticide exposures appeared to vary across the clusters and to be related to OF proportion in the diet.

TRIAL REGISTRATION: Clinical Trial Registry: NCT03335644.

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publishing date
type
Contribution to journal
publication status
published
keywords
Adult, Diet, Energy Intake, Food Contamination/analysis, Food, Organic, Humans, Male, Pesticides/analysis
in
European Journal of Nutrition
volume
60
pages
1475 - 1488
publisher
Springer
external identifiers
  • pmid:32734347
  • scopus:85088834468
ISSN
1436-6215
DOI
10.1007/s00394-020-02344-8
language
English
LU publication?
no
id
0221001f-0e7d-4a97-8292-99e91d801054
date added to LUP
2022-02-02 11:40:13
date last changed
2024-06-17 18:28:00
@article{0221001f-0e7d-4a97-8292-99e91d801054,
  abstract     = {{<p>PURPOSE: This study, conducted in participants of the NutriNet-Santé cohort, aims to identify dietary pesticide exposure profiles (derived from Non-negative Matrix Factorization) from conventional and organic foods among a large sample of general population French adults.</p><p>METHODS: Organic and conventional dietary intakes were assessed using a self-administered semi-quantitative food frequency questionnaire. Exposure to 25 commonly used pesticides was evaluated using food contamination data from Chemisches und Veterinäruntersuchungsamt Stuttgart accounting for farming system (organic or conventional). Dietary pesticide exposure profiles were identified using Non-Negative Matrix factorization (NMF), especially adapted for non-negative data with excess zeros. The NMF scores were introduced in a hierarchical clustering process.</p><p>RESULTS: Overall, the identified clusters (N = 34,193) seemed to be exposed to the same compounds with gradual intensity. Cluster 1 displayed the lowest energy intake and estimated dietary pesticide exposure, high organic food (OF) consumption (23.3%) and a higher proportion of male participants than other groups. Clusters 2 and 5 presented intermediate energy intake, lower OF consumption and intermediate estimated pesticide exposure. Cluster 3 showed high conventional fruits and vegetable (FV) intake, high estimated pesticide exposure, and fewer smokers. Cluster 4 estimated pesticide exposure varied more across compounds than for other clusters, with highest estimated exposures for acetamiprid, azadirachtin, cypermethrin, pyrethrins, spinosad. OF proportion in the diet was the highest (31.5%).</p><p>CONCLUSION: Estimated dietary pesticide exposures appeared to vary across the clusters and to be related to OF proportion in the diet.</p><p>TRIAL REGISTRATION: Clinical Trial Registry: NCT03335644.</p>}},
  author       = {{Rebouillat, Pauline and Vidal, Rodolphe and Cravedi, Jean-Pierre and Taupier-Letage, Bruno and Debrauwer, Laurent and Gamet-Payrastre, Laurence and Touvier, Mathilde and Hercberg, Serge and Lairon, Denis and Baudry, Julia and Kesse-Guyot, Emmanuelle}},
  issn         = {{1436-6215}},
  keywords     = {{Adult; Diet; Energy Intake; Food Contamination/analysis; Food, Organic; Humans; Male; Pesticides/analysis}},
  language     = {{eng}},
  pages        = {{1475--1488}},
  publisher    = {{Springer}},
  series       = {{European Journal of Nutrition}},
  title        = {{Estimated dietary pesticide exposure from plant-based foods using NMF-derived profiles in a large sample of French adults}},
  url          = {{http://dx.doi.org/10.1007/s00394-020-02344-8}},
  doi          = {{10.1007/s00394-020-02344-8}},
  volume       = {{60}},
  year         = {{2021}},
}