Child exposure to organophosphate and pyrethroid insecticides measured in urine, wristbands, and household dust and its implications for child health in South Africa: A panel study

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Authors

VELUDO Adriana Fernandes ROEOESLI Martin DALVIE Mohamed Aqiel STUCHLÍK FIŠEROVÁ Petra PROKEŠ Roman PŘIBYLOVÁ Petra ŠENK Petr KOHOUTEK Jiří MUGARI Mufaro KLÁNOVÁ Jana HUSS Anke FIGUEIREDO Daniel Martins MOL Hans DIAS Jonatan DEGRENDELE Céline FUHRIMANN Samuel

Year of publication 2024
Type Article in Periodical
Magazine / Source Environmental Epidemiology
MU Faculty or unit

Faculty of Science

Citation
Web https://journals.lww.com/environepidem/fulltext/2024/02000/child_exposure_to_organophosphate_and_pyrethroid.3.aspx
Doi http://dx.doi.org/10.1097/EE9.0000000000000282
Keywords Child exposure; Biomonitoring; Pesticide; Vulnerable populations; Endocrine disruptors
Attached files
Description Background:Children in agricultural areas are exposed to organophosphate (OP) and pyrethroid (PYR) insecticides. This explorative study investigated child exposure to OPs and PYRs, comparing temporal and spatial exposure variability within and among urine, wristbands, and dust samples.Methods:During spraying season 2018, 38 South African children in two agricultural areas (Grabouw/Hex River Valley) and settings (farm/village) participated in a seven-day study. Child urine and household dust samples were collected on days 1 and 7. Children and their guardians were wearing silicone wristbands for seven days. Intraclass correlation coefficients (ICCs) evaluated temporal agreements between repeated urine and dust samples, Spearman rank correlations (Rs) evaluated the correlations among matrices, and linear mixed-effect models investigated spatial exposure predictors. A risk assessment was performed using reverse dosimetry.Results:Eighteen OPs/PYRs were targeted in urine, wristbands, and dust. Levels of chlorpyrifos in dust (ICC = 0.92) and diethylphosphate biomarker in urine (ICC = 0.42) showed strong and moderate temporal agreement between day 1 and day 7, respectively. Weak agreements were observed for all others. There was mostly a weak correlation among the three matrices (Rs = -0.12 to 0.35), except for chlorpyrifos in dust and its biomarker 3,5,6-trichloro-2-pyridinol in urine (Rs = 0.44). No differences in exposure levels between living locations were observed. However, 21% of the urine biomarker levels exceeded the health-risk threshold for OP exposure.Conclusions:Observed high short-term variability in exposure levels during spraying season highlights the need for repeated sampling. The weak correlation between the exposure matrices points to different environmental and behavioral exposure pathways. Exceeding risk thresholds for OP should be further investigated.
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