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Association of environmental insecticide exposure and fetal growth with a Bayesian model including multiple exposure sources: the PELAGIE mother-child cohort
- Source :
- American Journal of Epidemiology, American Journal of Epidemiology, Oxford University Press (OUP), 2012, 175 (11), pp.1182-90. 〈10.1093/aje/kwr422〉, American Journal of Epidemiology, Oxford University Press (OUP), 2012, 175 (11), pp.1182-90. ⟨10.1093/aje/kwr422⟩, American Journal of Epidemiology, 2012, 175 (11), pp.1182-90. ⟨10.1093/aje/kwr422⟩
- Publication Year :
- 2012
- Publisher :
- HAL CCSD, 2012.
-
Abstract
- International audience; It has been suggested that prenatal exposure to insecticides adversely affects fetal growth, but the overall results have been inconsistent, partly because of the different exposure sources and exposure assessments used. In the French PELAGIE (Perturbateurs Endocriniens: Étude Longitudinale sur les Anomalies de la Grossesse, l'Infertilité et l'Enfance) mother and child cohort (2002-2006), the authors investigated the association between fetal growth and insecticide exposure (n = 1,213) using an integrated Bayesian latent variable model to include multiple exposure sources: agricultural activities, nonorganic diet, household insecticide use on plants, and household insecticide use against insects. They used a questionnaire to collect information on household use and organic diet, and a national agricultural census provided data on agricultural activities in the women's municipalities of residence. A 0.10-cm decrease in head circumference at birth (95% credibility interval: -0.22, 0.01) was associated with fetal insecticide exposure from agricultural activities in the municipality of residence. Decreases in average birth weight (-27 g; 95% credibility interval: -59, 6) and head circumference (-0.12 cm; 95% credibility interval: -0.26, 0.01) were associated with household insecticide use to treat plants. The present results suggest an inverse association between fetal growth and prenatal insecticide exposure from nearby agricultural activity or household use. Bayesian modeling via latent variables is a natural framework for including multiple sources of exposure to environmental pollutants.
- Subjects :
- multiple sources
MESH : Insecticides
Insecticides
Epidemiology
agricultural activities
010501 environmental sciences
MESH : Agriculture
01 natural sciences
Cohort Studies
Fetal Development
Toxicology
0302 clinical medicine
MESH: Pregnancy
Pregnancy
Surveys and Questionnaires
Credible interval
Fetal growth
MESH : Female
030212 general & internal medicine
MESH: Maternal Exposure
MESH: Cohort Studies
2. Zero hunger
MESH : Head
MESH: Infant, Newborn
MESH : Models, Statistical
MESH: Diet Surveys
MESH : Questionnaires
Agriculture
MESH : Maternal Exposure
[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie
MESH: Follow-Up Studies
MESH : Adult
insecticide exposure
household use
Maternal Exposure
MESH: Young Adult
Cohort
head circumference
MESH: Head
Female
France
MESH: Agriculture
MESH: Fetal Development
Adult
Multiple exposure
Adolescent
Birth weight
MESH: Bayes Theorem
MESH : Young Adult
MESH : Cohort Studies
Biology
MESH : Infant, Newborn
Diet Surveys
Young Adult
03 medical and health sciences
MESH : Bayes Theorem
Environmental health
MESH : Adolescent
Humans
MESH: Birth Weight
Latent variable model
MESH : France
0105 earth and related environmental sciences
MESH: Adolescent
Models, Statistical
MESH: Humans
business.industry
MESH: Questionnaires
MESH : Humans
Infant, Newborn
birth weight
Bayes Theorem
MESH: Adult
MESH : Birth Weight
MESH : Follow-Up Studies
Bayesian modeling
MESH: Insecticides
MESH: France
MESH : Pregnancy
MESH : Fetal Development
Residence
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
business
diet
MESH : Diet Surveys
Head
MESH: Female
MESH: Models, Statistical
Follow-Up Studies
Subjects
Details
- Language :
- English
- ISSN :
- 00029262 and 14766256
- Database :
- OpenAIRE
- Journal :
- American Journal of Epidemiology, American Journal of Epidemiology, Oxford University Press (OUP), 2012, 175 (11), pp.1182-90. 〈10.1093/aje/kwr422〉, American Journal of Epidemiology, Oxford University Press (OUP), 2012, 175 (11), pp.1182-90. ⟨10.1093/aje/kwr422⟩, American Journal of Epidemiology, 2012, 175 (11), pp.1182-90. ⟨10.1093/aje/kwr422⟩
- Accession number :
- edsair.doi.dedup.....5c81d064c53297c09d4695c85198257b
- Full Text :
- https://doi.org/10.1093/aje/kwr422〉