Mare Löhmus Sundström

Research problem and specific questions: Strong evidence links high outdoor temperatures to increased population morbidity, but little is known about the relationship between heat exposure indoors and its impact on health. Presently, no empirically supported recommendations regarding an upper indoor temperature threshold for health exist. Defining such a threshold is important as without this it will be difficult to establish any regulatory requirements that ensure that future buildings are sufficiently resilient to warmer summers. As the frequency of heat waves increases, understanding the sensitivity of different dwellings to outdoor temperature, especially in homes occupied by the elderly, is critical. This collaboration programme between six Swedish Universities aims to establish an evidence-based upper indoor temperature threshold for wellbeing

identify dwelling-specific characteristics that are most likely to increase the risk of heat-related illness, develop a temperature sensitivity regression model for indoor temperature prediction, and visualise area-level heat-vulnerability of the buildings on interactive maps, made available for a wide variety of endusers. Data and method: We aim to collect indoor temperature and humidity data, self-reported information about sleep quality, mental and physical health, as well as dwelling-specific characteristics from 4,000 adults across Sockholm, Malmö, Göteborg and Umeå during summer months, 2024-2027, by using temperature loggers, automatic text messages and electronic questionnaires. Physiological health data will be collected from 400 senior citizens by using Actiheart-5, activity, heart rate and sleep monitors. The associations between indoor temperatures and physical and mental health outcomes will be examined by multiple regression models. A model for prediction of indoor temperatures in different types of buildings will be developed by fitting the collected indoor temperature data to a modified energy balance model. Relevance and utilisation: The sustainability of housing policy includes ensuring access to a healthy indoor environment for all socio-economic groups. Being able to predict how different buildings are likely to respond to high outdoor temperatures is important for mitigating their potentially harmful impact. The present programme aims to fill the gaps in knowledge regarding the role that different building characteristics play in personal temperature exposure and visualise these problems on interactive maps for wider public, which is important for improving heat epidemiology, preparing prevention programmes. Plan for programme realisation: The data will be collected during four summers, after which model development and data analyse will be conducted. Regular research group and stakeholder meetings will be held. Programme costs include salaries for a research assistant and statistician, costs for technical devices, as well as postal costs for the distribution of temperature loggers.