Prospective association between dietary pesticide exposure profiles and type 2 diabetes risk in the NutriNet-Santé cohort
(2022) In Environmental Health 21.- Abstract
- Background
Studies focusing on dietary pesticides in population-based samples are scarce and little is known about potential mixture effects. We aimed to assess associations between dietary pesticide exposure profiles and Type 2 Diabetes (T2D) among NutriNet-Santé cohort participants.
Methods
Participants completed a Food Frequency Questionnaire at baseline, assessing conventional and organic food consumption. Exposures to 25 active substances used in European Union pesticides were estimated using the Chemisches und Veterinäruntersuchungsamt Stuttgart residue database accounting for farming practices. T2D were identified through several sources.
Exposure profiles were established using Non-Negative Matrix Factorization... (More) - Background
Studies focusing on dietary pesticides in population-based samples are scarce and little is known about potential mixture effects. We aimed to assess associations between dietary pesticide exposure profiles and Type 2 Diabetes (T2D) among NutriNet-Santé cohort participants.
Methods
Participants completed a Food Frequency Questionnaire at baseline, assessing conventional and organic food consumption. Exposures to 25 active substances used in European Union pesticides were estimated using the Chemisches und Veterinäruntersuchungsamt Stuttgart residue database accounting for farming practices. T2D were identified through several sources.
Exposure profiles were established using Non-Negative Matrix Factorization (NMF), adapted for sparse data. Cox models adjusted for known confounders were used to estimate hazard ratios (HR) and 95% confidence interval (95% CI), for the associations between four NMF components, divided into quintiles (Q) and T2D risk.
Results
The sample comprised 33,013 participants aged 53 years old on average, including 76% of women. During follow-up (median: 5.95 years), 340 incident T2D cases were diagnosed.
Positive associations were detected between NMF component 1 (reflecting highest exposure to several synthetic pesticides) and T2D risk on the whole sample: HRQ5vsQ1 = 1.47, 95% CI (1.00, 2.18). NMF Component 3 (reflecting low exposure to several synthetic pesticides) was associated with a decrease in T2D risk, among those with high dietary quality only (high adherence to French dietary guidelines, including high plant foods consumption): HRQ5vsQ1 = 0.31, 95% CI (0.10, 0.94).
Conclusions
These findings suggest a role of dietary pesticide exposure in T2D risk, with different effects depending on which types of pesticide mixture participants are exposed to. These associations need to be confirmed in other types of studies and settings, and could have important implications for developing prevention strategies (regulation, dietary guidelines). (Less)
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- author
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Environmental Health
- volume
- 21
- article number
- 57
- publisher
- BioMed Central (BMC)
- external identifiers
-
- pmid:35614475
- scopus:85130722567
- ISSN
- 1476-069X
- DOI
- 10.1186/s12940-022-00862-y
- language
- English
- LU publication?
- no
- id
- 78128f91-b092-403a-b2fa-3a460b03cba4
- date added to LUP
- 2022-05-25 12:07:19
- date last changed
- 2023-05-16 04:07:37
@article{78128f91-b092-403a-b2fa-3a460b03cba4, abstract = {{Background<br/>Studies focusing on dietary pesticides in population-based samples are scarce and little is known about potential mixture effects. We aimed to assess associations between dietary pesticide exposure profiles and Type 2 Diabetes (T2D) among NutriNet-Santé cohort participants.<br/>Methods<br/>Participants completed a Food Frequency Questionnaire at baseline, assessing conventional and organic food consumption. Exposures to 25 active substances used in European Union pesticides were estimated using the Chemisches und Veterinäruntersuchungsamt Stuttgart residue database accounting for farming practices. T2D were identified through several sources.<br/>Exposure profiles were established using Non-Negative Matrix Factorization (NMF), adapted for sparse data. Cox models adjusted for known confounders were used to estimate hazard ratios (HR) and 95% confidence interval (95% CI), for the associations between four NMF components, divided into quintiles (Q) and T2D risk.<br/>Results<br/>The sample comprised 33,013 participants aged 53 years old on average, including 76% of women. During follow-up (median: 5.95 years), 340 incident T2D cases were diagnosed.<br/>Positive associations were detected between NMF component 1 (reflecting highest exposure to several synthetic pesticides) and T2D risk on the whole sample: HRQ5vsQ1 = 1.47, 95% CI (1.00, 2.18). NMF Component 3 (reflecting low exposure to several synthetic pesticides) was associated with a decrease in T2D risk, among those with high dietary quality only (high adherence to French dietary guidelines, including high plant foods consumption): HRQ5vsQ1 = 0.31, 95% CI (0.10, 0.94).<br/>Conclusions<br/>These findings suggest a role of dietary pesticide exposure in T2D risk, with different effects depending on which types of pesticide mixture participants are exposed to. These associations need to be confirmed in other types of studies and settings, and could have important implications for developing prevention strategies (regulation, dietary guidelines).}}, author = {{Rebouillat, Pauline and Vidal, Rodolphe and Cravedi, Jean-Pierre and Taupier-Letage, Bruno and Debrauwer, Laurent and Gamet-Payrastre, Laurence and Guillou, Hervé and Touvier, Mathilde and Fezeu, Léopold K. and Hercberg, Serge and Lairon, Denis and Baudry, Julia and Kesse-Guyot, Emmanuelle}}, issn = {{1476-069X}}, language = {{eng}}, publisher = {{BioMed Central (BMC)}}, series = {{Environmental Health}}, title = {{Prospective association between dietary pesticide exposure profiles and type 2 diabetes risk in the NutriNet-Santé cohort}}, url = {{http://dx.doi.org/10.1186/s12940-022-00862-y}}, doi = {{10.1186/s12940-022-00862-y}}, volume = {{21}}, year = {{2022}}, }