Active Pregnancy, Children & Inherited Conditions Climate, Earth & Environment

Maternal And preGnancy hEalth aNd elevaTed heAt (MAGENTA): novel data-linkages to understand how temperature impacts pregnancy outcomes for people living in deprived communities in Wales and London

In plain English

AI plain-English summary

Pregnant women in deprived communities in Wales and London are being exposed to dangerous levels of heat, and this project will link hospital records, weather data, and biological samples to measure exactly what that does to them and their babies. The problem is clear: heatwaves are becoming more frequent and intense, yet almost nothing is known about how sustained heat exposure during pregnancy affects mothers and newborns in the UK’s poorest neighbourhoods. These communities often live in poorly insulated housing with little green space, making them far more vulnerable than wealthier areas. The research will fill that gap by combining large-scale temperature, environmental, and health data with blood and placenta samples from a consented group of women. If successful, the findings could reshape housing policy, urban planning, and public health guidance. Local authorities might prioritise cooling measures such as tree planting, reflective roofing, or improved ventilation in social housing. The NHS could issue targeted heat warnings to pregnant women in high-risk postcodes. The biomarkers identified might also allow clinicians to spot heat-stressed pregnancies before complications arise. This is applied, policy-facing research with direct practical consequences for how cities are built and how antenatal care is delivered in a warming climate.

View original technical description
This novel, trans-disciplinary data-linkage, and biological sampling project, will robustly quantify the impact, modifying factors and biological mechanisms, of exposure to elevated or prolonged heat during pregnancy, on maternal and neonatal outcomes in deprived communities in Wales and London. Large-scale temperature, environmental, socio-economic and health data, at an individual, household and area-level, will be linked with biomarkers from a consented cohort of women to answer the following research questions: RQ1 -What are the impacts of exposure to elevated heat during pregnancy in deprived communities, on pregnancy and neonatal outcomes in Wales and London? RQ2 -To what extent are associations observed modified by socio-demographic, housing qualities, and other environmental factors? RQ3 -What are the impacts of heat stress on biological stress and inflammation measures especially of the placenta for pregnant women in Wales? RQ4 – How do lab-derived biomarkers inform the observations in routinely collected data and can they be used to drive a population level understanding of the impacts of current and future climate change on pregnancy and neonatal outcomes? This project will heavily engage stakeholders and communication experts from the onset, to ensure our results are visible, and can be readily and effectively translated into policy and practice.

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Researchers

Amy Mizen (EPMC Awardee)Catherine Thornton (EPMC Awardee)Lucy Griffiths (EPMC Awardee)Pia Hardelid (EPMC Awardee)Rhiannon Kate Owen (EPMC Awardee)Richard Fry (EPMC Awardee)Samantha Turner (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Understanding and reducing the impacts of high outdoor temperatures on pregnancy and newborn health in England: a multi-methods study.
Heat matters; mechanisms impacting maternal and offspring mental health
Investigating the Biological pathways from HEAT exposure to preterm birth and other adverse maternal and child health outcomes in South Africa (the Bio-HEAT study)
Investigating the pathways linking heat exposure to mental health outcomes: mechanisms and interventions in a Ghanaian cohort (HEAT-MIND)
Co-developed Environmental Solutions to Mitigate the Impact of Temperature Extremes on the Health of Vulnerable Populations

Original classification

Climate Impacts Award

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.