Raquel Soler-Blasco1, Mario Murcia2, Manuel Lozano3, Llúcia González-Safont2, Rubén Amorós4, Jesús Ibarluzea5, Karin Broberg6, Amaia Irizar7, Maria-José Lopez-Espinosa8, Nerea Lertxundi9, Loreto Santa Marina10, Ferran Ballester8, Sabrina Llop11. 1. Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain. 2. Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain. 3. Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, Valencia, Spain; Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine Department, Universitat de València, València, Spain. 4. School of Mathematics, University of Edinburgh, Edinburgh, United Kingdom. 5. Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; Public Health Division of Gipuzkoa, Basque Government, San Sebastian, Spain. 6. Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. 7. Biodonostia Health Research Institute, San Sebastian, Spain. 8. Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; Department of Nursing, Universitat de València, Valencia, Spain. 9. Biodonostia Health Research Institute, San Sebastian, Spain; Faculty of Psychology of the University of the Basque Country, San Sebastian, Spain. 10. Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; Public Health Division of Gipuzkoa, Basque Government, San Sebastian, Spain; Biodonostia Health Research Institute, San Sebastian, Spain. 11. Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain. Electronic address: llop_sab@gva.es.
Abstract
INTRODUCTION: Manganese (Mn) is an essential element, diet being its main source. Some epidemiological studies have found that a prenatal excess of Mn could negatively affect neuropsychological development during infancy, but the evidence is inconclusive. The aim of this study was to explore the relationship between maternal serum Mn concentrations and child neuropsychological development assessed at 1 year of age. METHODS: study subjects were 1179 mother-child pairs from two Spanish cohorts (Valencia and Gipuzkoa) of the INMA (Environment and Childhood) Project. Mn was measured in serum samples collected during the first trimester of pregnancy. Child neuropsychological development was assessed using the Bayley Scales of Infant Development, composed of both mental and psychomotor scales. Sociodemographic, lifestyle and dietary information was collected through questionnaires during pregnancy and during the child's first year of life. Serum Mn was log-2 transformed. Multivariable linear regression models were built. Generalized additive models were used to assess the shape of the relation between prenatal exposure to Mn and the neuropsychological test scores. RESULTS: geometric mean and 95% confidence interval (95% CI) of maternal serum Mn was 1.50 (1.48-1.53) μg/L. Levels of Mn were higher among non-working mothers and in those with a higher consumption of nuts. The association between maternal Mn levels and child neuropsychological development was negative in the multivariable models for the mental (β [95% CI] = -0.39 [-2.73, 1.95]) and psychomotor scales (β [95% CI] = -0.92 [-3.48, 1.65]), although the coefficients were not statistically significant. The best shape describing the relationship between Mn and the Bayley scales was linear in both cases. CONCLUSION: This study shows a null association between maternal prenatal levels of Mn and neuropsychological development at one year after birth in two cohorts within the INMA study.
INTRODUCTION:Manganese (Mn) is an essential element, diet being its main source. Some epidemiological studies have found that a prenatal excess of Mn could negatively affect neuropsychological development during infancy, but the evidence is inconclusive. The aim of this study was to explore the relationship between maternal serum Mn concentrations and child neuropsychological development assessed at 1 year of age. METHODS: study subjects were 1179 mother-child pairs from two Spanish cohorts (Valencia and Gipuzkoa) of the INMA (Environment and Childhood) Project. Mn was measured in serum samples collected during the first trimester of pregnancy. Child neuropsychological development was assessed using the Bayley Scales of Infant Development, composed of both mental and psychomotor scales. Sociodemographic, lifestyle and dietary information was collected through questionnaires during pregnancy and during the child's first year of life. Serum Mn was log-2 transformed. Multivariable linear regression models were built. Generalized additive models were used to assess the shape of the relation between prenatal exposure to Mn and the neuropsychological test scores. RESULTS: geometric mean and 95% confidence interval (95% CI) of maternal serum Mn was 1.50 (1.48-1.53) μg/L. Levels of Mn were higher among non-working mothers and in those with a higher consumption of nuts. The association between maternal Mn levels and child neuropsychological development was negative in the multivariable models for the mental (β [95% CI] = -0.39 [-2.73, 1.95]) and psychomotor scales (β [95% CI] = -0.92 [-3.48, 1.65]), although the coefficients were not statistically significant. The best shape describing the relationship between Mn and the Bayley scales was linear in both cases. CONCLUSION: This study shows a null association between maternal prenatal levels of Mn and neuropsychological development at one year after birth in two cohorts within the INMA study.
Authors: Jordyn M Wilcox; David C Consoli; Krista C Paffenroth; Brittany D Spitznagel; Erin S Calipari; Aaron B Bowman; Fiona E Harrison Journal: Pharmacol Biochem Behav Date: 2022-01-19 Impact factor: 3.533