Jiming Zhang1, Jianqiu Guo2, Chunhua Wu3, Xiaojuan Qi4, Shuai Jiang5, Dasheng Lu6, Chao Feng7, Weijiu Liang8, Xiuli Chang9, Yubin Zhang10, Yang Cao11, Guoquan Wang12, Zhijun Zhou13. 1. School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China. Electronic address: zhangjiming@fudan.edu.cn. 2. School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China. Electronic address: jqguo14@fudan.edu.cn. 3. School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China. Electronic address: chwu@fudan.edu.cn. 4. School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China; Zhejiang Provincial Center for Disease Control and Prevention, No.3399 Binsheng Road, Hangzhou, 310051, China. Electronic address: xjqi@cdc.zj.cn. 5. School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China. Electronic address: jiangshuai12@fudan.edu.cn. 6. Shanghai Center for Disease Control and Prevention, No.1380 West Zhongshan Road, Changning District, Shanghai, 200336, China. Electronic address: ludasheng@scdc.cn. 7. Shanghai Center for Disease Control and Prevention, No.1380 West Zhongshan Road, Changning District, Shanghai, 200336, China. Electronic address: fengchao@scdc.cn. 8. Changning Center for Disease Control and Prevention, No.39 Yunwushan Road, Changning District, Shanghai, 200051, China. Electronic address: wj8501@aliyun.com. 9. School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China. Electronic address: xlchang@fudan.edu.cn. 10. School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China. Electronic address: yz001@fudan.edu.cn. 11. Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, 70182, Sweden. Electronic address: yang.cao@oru.se. 12. Shanghai Center for Disease Control and Prevention, No.1380 West Zhongshan Road, Changning District, Shanghai, 200336, China. Electronic address: wangguoquan@scdc.cn. 13. School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China. Electronic address: zjzhou@fudan.edu.cn.
Abstract
BACKGROUND: Carbamate pesticides exposure have been linked with adverse health effects during developmental period. Based on 377 mother-child pairs from Sheyang Mini Birth Cohort Study, the present study aimed to assess carbofuranphenol exposure of three-year-old children and explore the associations between prenatal or postnatal carbofuranphenol exposures and neurodevelopmental indicators. METHODS: Urinary carbofuranphenol concentrations were measured by gas chromatography-tandem mass spectrometry. Neural developmental quotient (DQ) of children was evaluated using Gesell Developmental Schedules. Generalized linear models were used to examine the associations between carbofuranphenol concentrations and neurodevelopment. RESULTS: Geometric mean, geometric standard deviation, median, inter quartile range of postnatal urinary carbofuranphenol concentrations were 0.653 μg/L, 9.345 μg/L, 0.413 μg/L, 0.150-1.675 μg/L, respectively. Postnatal carbofuranphenol level showed negatively significant trend in language DQ [beta (β) = -0.121; 95% confidence interval (95% CI): 0.212, -0.031; p value (p) = 0.008] and total average DQ (β = -0.059, 95% CI: 0.115, -0.003; p = 0.035). Prenatal carbofuranphenol level showed negative correlations with children's adaptive DQ (β = -0.755; 95% CI: 1.257, -0.254; p = 0.003), social DQ (β = -0.341; 95% CI: 0.656, -0.027; p = 0.032) and total average DQ (β = -0.349; 95% CI: 0.693, -0.005; p = 0.047). CONCLUSION: The results of the present study supposed children in agricultural region of China are widely exposed to carbamate pesticides, and both prenatal and postnatal exposure to carbamate pesticides may lead to neurodevelopmental effect.
BACKGROUND:Carbamate pesticides exposure have been linked with adverse health effects during developmental period. Based on 377 mother-child pairs from Sheyang Mini Birth Cohort Study, the present study aimed to assess carbofuranphenol exposure of three-year-old children and explore the associations between prenatal or postnatal carbofuranphenol exposures and neurodevelopmental indicators. METHODS: Urinary carbofuranphenol concentrations were measured by gas chromatography-tandem mass spectrometry. Neural developmental quotient (DQ) of children was evaluated using Gesell Developmental Schedules. Generalized linear models were used to examine the associations between carbofuranphenol concentrations and neurodevelopment. RESULTS: Geometric mean, geometric standard deviation, median, inter quartile range of postnatal urinary carbofuranphenol concentrations were 0.653 μg/L, 9.345 μg/L, 0.413 μg/L, 0.150-1.675 μg/L, respectively. Postnatal carbofuranphenol level showed negatively significant trend in language DQ [beta (β) = -0.121; 95% confidence interval (95% CI): 0.212, -0.031; p value (p) = 0.008] and total average DQ (β = -0.059, 95% CI: 0.115, -0.003; p = 0.035). Prenatal carbofuranphenol level showed negative correlations with children's adaptive DQ (β = -0.755; 95% CI: 1.257, -0.254; p = 0.003), social DQ (β = -0.341; 95% CI: 0.656, -0.027; p = 0.032) and total average DQ (β = -0.349; 95% CI: 0.693, -0.005; p = 0.047). CONCLUSION: The results of the present study supposed children in agricultural region of China are widely exposed to carbamate pesticides, and both prenatal and postnatal exposure to carbamate pesticides may lead to neurodevelopmental effect.
Authors: Mohsen Bahrami; Sean L Simpson; Jonathan H Burdette; Robert G Lyday; Sara A Quandt; Haiying Chen; Thomas A Arcury; Paul J Laurienti Journal: Neuroimage Date: 2022-04-14 Impact factor: 7.400
Authors: Judit Biosca-Brull; Cristian Pérez-Fernández; Santiago Mora; Beatriz Carrillo; Helena Pinos; Nelida Maria Conejo; Paloma Collado; Jorge L Arias; Fernando Martín-Sánchez; Fernando Sánchez-Santed; Maria Teresa Colomina Journal: Int J Environ Res Public Health Date: 2021-05-13 Impact factor: 3.390