TAME 2.0: expanding and improving online data science training for environmental health research.

Introduction: Data science training has the potential to propel environmental health research efforts into territories that remain untapped and holds immense promise to change our understanding of human health and the environment. Though data science training resources are expanding, they are still limited in terms of public accessibility, user friendliness, breadth of content, tangibility through real-world examples, and applicability to the field of environmental health science.

Methods: To fill this gap, we developed an environmental health data science training resource, the inTelligence And Machine lEarning (TAME) Toolkit, version 2.

Prenatal Exposure to Metals Is Associated with Placental Decelerated Epigenetic Gestational Age in a Sex-Dependent Manner in Infants Born Extremely Preterm.

Prenatal exposure to metals can influence fetal programming via DNA methylation and has been linked to adverse birth outcomes and long-term consequences. Epigenetic clocks estimate the biological age of a given tissue based on DNA methylation and are potential health biomarkers. This study leveraged the Extremely Low Gestational Age Newborn (ELGAN) study ( = 265) to evaluate associations between umbilical cord tissue concentrations of 11 metals as single exposures as well as mixtures in relation to (1) placental epigenetic gestational age acceleration (eGAA) and the (2) methylation status of the Robust Placental Clock (RPC) CpGs.

Impact of household size and co-resident multimorbidity on unplanned hospitalisation and transition to care home.

The ability to manage ill health and care needs might be affected by who a person lives with. This study examined how the risk of unplanned hospitalisation and transition to living in a care home varied according to household size and co-resident multimorbidity. Here we show results from a cohort study using  Welsh nationwide linked healthcare and census data, that employed multilevel multistate models to account for the competing risk of death and clustering within households.

Associations among positive child health measures in the environmental influences on child health outcomes (ECHO) cohort.

Purpose: Effective measurement of positive child health is critical in improving public health. A proposed measure of positive health, a positive child health index (PCHI), is based on how many of 11 specific physical, developmental, and mental health conditions a child has (ranging from 0 to 11). Accepted measures of positive health, Patient-Reported Outcome Measurement Information System (PROMIS®) measures of global health, meaning and purpose, and life satisfaction, are based on child and caregiver perceptions.

Ambient air pollution and birth outcomes: a scoping review to investigate the mediating and moderating variables-protocol.

Introduction: Pregnant women and their babies are a highly vulnerable population to health effects from air pollution. This scoping review aims to understand the extent and type of evidence concerning the mediating and moderating factors between air pollution and birth outcomes. By gathering and synthesising this evidence, this review aims to identify key concepts, themes and knowledge gaps.