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Profiles of the maternal occupational exposome during pregnancy and associations with intrauterine growth: Analysis of the French Longitudinal Study of Children - ELFE study.
Environ Res
December 2024
Univ. Bordeaux, INSERM, Centre Bordeaux Population Health, Equipe Epicene, U1219, F-33000, Bordeaux, France; Consultation de Pathologie Professionnelle et Environnementale, Service de Santé Au Travail, CHU de Bordeaux, France; CICEC, Bordeaux, France.
Background: Numerous agents in the workplace are suspected of impairing fetal growth. To date, no epidemiological studies have specifically described the occupational exposome during pregnancy.
Objective: The objectives were to determine maternal occupational exposome profiles and study their associations with intrauterine growth characteristics measured by small for gestational age (SGA), birthweight (BW), and head circumference (HC).
Exposome Determinants of Quality of Life in Adults Over 50: Personality Traits, Childhood Conditions, and Long-Term Unemployment in SHARELIFE Retrospective Panel.
Psychol Res Behav Manag
December 2024
Department of Social and Organizational Psychology, National University for Distance Education (UNED), Madrid, 28040, Spain.
Introduction: The present research applies the exposome approach for understanding Quality of life of +50 Europeans based on retrospective panel data. Our paper explores the cumulative influences of personality traits, childhood adversities, such as poor health in infancy, culturally deprived environments, poor mathematical performance, or reduced language skills, and undesired employment status along the life course on Quality of Life of +50 Europeans.
Methods: The study utilizes data from the SHARE (Survey of Health, Aging and Retirement in Europe), belonging to SHARELIFE (wave 3 and 7) and from the Working Life Histories retrospective panel (N = 5884).
Integrating accelerometry, GPS, GIS and molecular data to investigate mechanistic pathways of the urban environmental exposome and cognitive outcomes in older adults: a longitudinal study protocol.
BMJ Open
December 2024
Centre for Public Health, Queen's University Belfast, Belfast, UK.
Introduction: Maintaining cognitive health in later life is a global priority. Encouraging individuals to make health behaviour changes, such as regular physical activity, and providing supportive urban environments can help maintain cognitive health, thereby preventing or delaying the progress of dementia and cognitive decline. However, the mechanistic pathways by which the urban environmental exposome influences cognitive health outcomes are poorly understood.
View Article and Find Full Text PDFIntegrated analysis of per- and polyfluoroalkyl substances and plasma lipidomics profiles in multi-ethnic Asian subjects for exposome research.
Environ Health
November 2024
Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Background: Perfluoroalkyl and polyfluoroalkyl substances (PFAS) exposure has been associated with metabolic diseases, however, the underlying molecular pathogenesis remains to be understood. Integrated PFAS and lipidomic analysis has the potential to identify alterations in lipid metabolism pathways for exposome research.
Methods: A targeted LC-MS/MS method was developed for the quantification of 14 PFAS from human plasma samples (n = 96).
Air pollution mixture exposure during pregnancy and postpartum psychological functioning: racial/ethnic- and fetal sex-specific associations.
J Expo Sci Environ Epidemiol
November 2024
Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Prenatal air pollution (AP) exposure has been linked to postpartum psychological functioning, impacting health outcomes in both women and children. Extant studies primarily focused on individual pollutants.
Objective: To assess the association between prenatal exposure to a mixture of seven AP components and postpartum psychological functioning using daily exposure data and data-driven statistical methods.
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