Towards Improvement of Heatwave Warnings for Older Adults: The Case of Queensland Australia.

BACKGROUND: Heatwave warnings provide crucial information about the nature of the event and the steps that can be taken to mitigate its impact. It is well known that heat events disproportionately impact the health of older adults. Therefore, it's critical that heatwave warnings reach this population. However, our current understanding of the effectiveness of heatwave warning messages among older Queenslanders is limited. METHODS: A Queensland wide survey was conducted in 2022 among 547 older adults (≥65 years), aiming to collect information on their perception of heat-related health risk, their knowledge of the existing heatwave warnings, and if they had ever heard of a heatwave warning. Chi-square analysis followed by multinomial or binomial logistic regression was utilized to understand various socio-economic and personal factors that impact the heatwave warning reach to older Queenslanders. RESULTS: Only 43% of the respondents had heard a heatwave warning and only 49% of those who heard a warning(s) changed their behavior as a result. The results showed 20% of respondents perceived themselves to be at heat-related health risk, and these individuals were 1.98 times more likely to have heard heatwave warnings. Further, individuals who perceived themselves to be at heat-related health risk were 3.62 times more likely to adopt adaptive measures in response to heatwave warnings. IMPLICATIONS: This study suggests that in older adults, higher knowledge and perception of heat-related health risk are associated with higher likelihoods of attention to heatwave warnings and adoption of cooling measures.

Extreme Heat and Air Quality: Community Leader Perspectives on Information Barriers and Opportunities in Two Environmental Justice Communities.

Extreme heat and air pollution exposure are leading causes of adverse cardiorespiratory health outcomes. Exposure reduction strategies are often focused at the local level. This study examined critical challenges community leaders face in understanding and sharing environmental exposure and health information. We conducted interviews with 19 community leaders of two urban environmental justice communities in Massachusetts, United States. Using directed content analysis, we examined air quality and heat perceptions, information and data resources, and barriers to understanding and communicating relevant local information. Participants shared concerns about both poor air quality and extreme heat. They also expressed the opinion that exposure risk information about these topics is siloed; heat and air quality data can be hard to access, interpret, and effectively communicate with community members. Solutions recommended by participants included community engagement, open-data portals, and creative science communication. Increasing sustainable collaborations among academic, government, healthcare, and nonprofit sectors is recommended.

Brain-derived neurotrophic factor in older adults exposed to simulated indoor overheating.

PURPOSE: Brain-derived neurotrophic factor (BDNF) is a neuroprotective growth factor that increases in young adults during short, intense bouts of passive heat stress. However, this may not reflect the response in heat-vulnerable populations exposed to air temperatures more consistent with indoor overheating during hot weather and heatwaves, especially as the BDNF response to acute stressors may diminish with increasing age. We therefore evaluated the ambient and body temperature-dependent responses of BDNF in older adults during daylong passive heating. METHODS: Sixteen older adults (6 females; aged 66-78 years) completed 8-h exposure to four randomized ambient conditions simulating those experienced indoors during hot weather and heatwaves in continental climates: 22 °C (air-conditioning; control), 26 °C (health-agency-recommended indoor temperature limit), 31 °C, and 36 °C (non-airconditioned home); all 45% relative humidity. To further investigate upstream mechanisms of BDNF regulation during thermal strain, we also explored associations between BDNF and circulating heat shock protein 70 (HSP70; taken as an indicator of the heat shock response). RESULTS: Circulating BDNF was elevated by ~ 28% (1139 [95%CI: 166, 2112] pg/mL) at end-exposure in the 36 °C compared to the 22 °C control condition (P = 0.026; 26 °C-and 31 °C-22 °C differences: P ≥ 0.090), increasing 90 [22, 158] pg/mL per 1 °C rise in ambient temperature (linear trend: P = 0.011). BDNF was also positively correlated with mean body temperatures (P = 0.013), which increased 0.12 [0.10, 0.13]°C per 1 °C rise in ambient temperature (P < 0.001). By contrast, serum HSP70 did not change across conditions (P ≥ 0.156), nor was it associated with BDNF (P = 0.376). CONCLUSION: Our findings demonstrate a progressive increase in circulating BDNF during indoor overheating in older adults.

Combined active and passive isothermic heating leads to similar core temperature compared to exercise alone.

CONTEXT: The training stress of heat acclimatization optimizing exercise performance in a hot environment can be demanding. OBJECTIVES: This study evaluated the efficiency of different single heating protocols to elevate core temperature. DESIGN: Not randomized controlled trial. SETTING: Passive heating (PAS), 30-min active heating using a high-intensity bike protocol (HIBP) in a hot environment with 30-min passive heating (EH-PAS), 60-min HIBP in a hot environment (EH), or 60-min HIBP at room temperature (EM). PARTICIPANTS: Ten male participants (25±3 years) performed four different 60-min heating strategies at least one week apart. MAIN OUTCOME MEASURES: Body core temperature and heart rate. RESULTS: The highest peak gastrointestinal temperature occurred in EH-PAS (39.1±0.4°C), followed by EH (38.9±0.3°C), EM (38.4±0.3°C), and PAS (38.1±0.5°C). The average HR, measured as a control for intensity, was not different between exercise strategies (EH-PAS: 142±12.3, EH: 146±9.7, and EM: 142±13.3, p>0.05), while different from PAS: 98±15.2 bpm, p<0.05. CONCLUSIONS: Adding passive heating to a shorter exercise protocol can be just as effective in keeping core temperature elevated as exercise in the heat alone during a 60-minute session. Therefore, a single-bout combination of exercise and passive heating may result in a similar body temperature induction compared to exercise heat stress alone.

Increased Stillbirth Rates and Exposure to Environmental Risk Factors for Stillbirth in Counties with Higher Social Vulnerability: United States, 2015-2018.

INTRODUCTION: Exposure to unfavorable environmental conditions during pregnancy, such as extreme heat and air pollution, has been linked to increased risk of stillbirth, defined as fetal mortality at or after 20 weeks' gestation, however no studies have examined its association with social vulnerability. We examined associations between county-level stillbirth rates, environmental risk factors for stillbirth, and social vulnerability in the United States. METHODS: This ecologic study linked county-level data from three nationwide datasets on stillbirths (National Vital Statistics System), environmental conditions (North American Land Data Assimilation System and Environmental Protection Agency), and social vulnerability (Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry Social Vulnerability Index). Poisson and negative binomial models were fit to the variables and produced rate ratios to estimate associations among stillbirth rates, environmental risk factors, and social vulnerability. RESULTS: Social vulnerability was positively associated withn stillbirth rates, annual average number of extreme heat days, and ambient concentration of particulate matter ≤ 2.5 µm in diameter (PM2.5). The average number of days that ozone and PM2.5 each exceeded regulatory standards were not associated with stillbirth rates or social vulnerability. A positive association between average annual PM2.5 concentration and stillbirth rates was detected; no other significant associations between environmental risk factors and stillbirth rates were observed. DISCUSSION: We found evidence of associations between social vulnerability and stillbirth rates, and between social vulnerability and environmental risk factors for stillbirth at the county level. Further research could inform understanding of how social vulnerability impacts the relationship between environmental exposures and stillbirth risk.

Neighborhood Greenspace, Extreme Heat Exposure, and Sleep Quality over Time among a Nationally Representative Sample of American Children.

Children's sleep is essential for healthy development, yet over a third of children in the United States experience inadequate sleep. Environmental factors can influence sleep: greenspace exposure can promote better sleep, while heat exposure can disrupt sleep. As global climate change raises nighttime and daytime temperatures, greenspace may mitigate the negative effects of heat stress on sleep. We examined the direct effects of neighborhood greenspace and extreme heat exposure on sleep and the statistical interaction between greenspace and heat exposure on sleep outcomes among a nationally representative, four-year longitudinal sample of 8580 U.S. children ages 9-10 years at baseline. Hierarchical linear models incorporated a neighborhood greenspace measure: percent open park space within individual child census tracts, a measure of extreme neighborhood heat exposure during the summer months, and extensive individual and neighborhood-level covariates to test main and interaction effects on child sleep quality. Neighborhood open park space was related to better sleep quality, after controlling for covariates. Additionally, neighborhood extreme heat exposure was associated with worse sleep quality. A two-way interaction was found between neighborhood open park space and neighborhood heat exposure on sleep quality, suggesting open park space mitigated the negative effects of heat on sleep. The results indicate the potential contribution of open greenspace to improve child sleep and enhance resilience to extreme heat, which is an adverse outcome of climate change.

Suitable temperature indicator for adverse health impacts in sub-tropical cities: a case study in Hong Kong from 2010-2019.

Heat-health warning systems and services are important preventive actions for extreme heat, however, global evidence differs on which temperature indicator is more informative for heat-health outcomes. We comprehensively assessed temperature predictors on their summer associations with adverse health impacts in a high-density subtropical city. Maximum, mean, and minimum temperatures were examined on their associations with non-cancer mortality and hospital admissions in Hong Kong during summer seasons 2010-2019 using Generalized Additive Models and Distributed Lag Non-linear Models. In summary, mean and minimum temperatures were identified as strong indicators for mortality, with a relative risk(RR) and 95% confidence interval(CI) of 1.037 (1.006-1.069) and 1.055 (1.019-1.092), respectively, at 95th percentile vs. optimal temperature. Additionally, minimum temperatures captured the effects of hospital admissions, RR1.009 (95%CI: 1.000- 1.018). In stratified analyses, significant associations were found for older adults, female sex, and respiratory-related outcomes. For comparison, there was no association between maximum temperature and health outcomes. With climate change and projected increase of night-time warming, the findings from this comprehensive assessment method are useful to strengthen heat prevention strategies and enhance heat-health warning systems. Other locations could refer to this comprehensive method to evaluate their heat risk, especially in highly urbanized environments and subtropical cities.

Heatwaves and Hardship: Shortcomings and Solutions for Enhancing the Low Income Home Energy Assistance Program to Mitigate Extreme Heat and Energy Insecurity.

The Low Income Home Energy Assistance Program (LIHEAP) must adapt and evolve to keep pace with the challenges posed by climate change and increased economic strain. Urgent action is needed to improve LIHEAP to effectively address extreme heat and energy insecurity faced by low-income households and protect the health and well-being of disadvantaged groups spurred by climate change. In evaluating LIHEAP's shortcomings, we demonstrate that there is a substantial gap between program eligibility and enrollment, such that many households are not receiving this vital benefit or do so mainly when facing a crisis. We also show that LIHEAP funds overwhelmingly support cold-weather states even as record-breaking heat is a critical stressor. The spatial mismatch we unveil shows that southern states receive less LIHEAP funds despite higher cooling degree days and higher rates of energy insecurity. The importance of swift action based on sound data and up-to-date research can enhance the efficacy of LIHEAP, expand its reach, and ultimately improve the living conditions of millions of energy insecure households. We offer several recommendations to improve LIHEAP to ensure that this critical lifeline program remains an effective tool to mitigate energy insecurity and safeguard livelihoods in the face of extreme heat.

Association Between Extreme Heat and Outpatient Visits for Mental Disorders: A Time-Series Analysis in Guangzhou, China.

Previous evidence on heatwaves' impact on mental health outpatient visits is limited, especially uncertainty on how different heatwave definitions affect this relationship. In this time-series study, we assessed the association between heatwaves and outpatient visits for mental disorders in Guangzhou, China. Daily outpatient visits for mental disorders and its specific categories (schizophrenia, mood, and neurotic disorders) were sourced from the Urban Resident-based Basic Medical Insurance (URBMI) and the Urban Employee-based Basic Medical Insurance (UEBMI) claims databases in Guangzhou from 2010 to 2014. The study employed nine heatwave definitions, based on combinations of three daily mean temperature thresholds (90th, 92.5th, and 95th percentiles) and durations (2, 3, and 4 days). Using quasi-Poisson generalized linear models (GLMs), we estimated the risks (at lag 0 day) and cumulative effects (lag 0-10 days) of heatwaves on mental disorder outpatient visits. Age, gender, types of medical insurance were considered as potential effect modifiers. We observed a positive association between heatwaves and increased total outpatient visits for mental disorders, both at lag 0 day and during lag 0-10 days. The impact of heatwave was significant at lag 0 day for schizophrenia, mood and neurotic disorders visits, it remained significant for neurotic and mood disorders visits during lag 0-10 days. Heatwave durations lasting more than 4 days were associated with higher relative risks of mental disorders at lag 0 day. Older adults had relatively higher effect estimations than younger individuals. This research highlights the effects of extreme heat on mental health.

Extreme Heat, Functional Disability, and Social Isolation: Risk Disparity Among Older Adults.

This study examines how functional disability worsens among older adults exposed to extreme heat, particularly those socially isolated. Analyzing data from over 35,000 older adults aged 50 or older from the Health and Retirement Study from 1996-2018, this study found that more frequent exposure to extreme heat is associated with an increase in the number of instrumental activities of daily living (IADL) that older adults find difficulty in performing over time. This heat-related disability progression is greater among those living alone and not working. However, findings indicate that maintaining contact with children and receiving higher levels of support from friends can alleviate the risk of IADL disability progression amidst extreme heat days for older adults with limited social relationships at home and work. By examining various aspects of social isolation and their nuanced effects, this study underscores the need for social support and assistance for older adults during extreme heat.

Safeguarding Patients with End-Stage Kidney Disease From Climate-driven Extreme Heat and Hurricanes.

5wPatients with end stage kidney disease (ESKD) who receive in-center hemodialysis are disproportionately vulnerable to extreme weather events, including hurricanes and heat waves, that may disrupt access to healthcare providers, and life-sustaining treatments. This current era of climate-driven compounding disasters is progressively elevating the level of threat to the health and well-being of patients with ESKD. This analysis brings together multi-disciplinary expertise to explore the contours of this increasingly complex risk landscape. Despite the challenges, important advances have been made for safeguarding this medically high-risk patient population. Hemodialysis services providers have devised innovative systems for preparing their patients and sustaining, or rapidly reestablishing, hemodialysis services in the aftermath of a disaster, and maintaining open lines of communication with their caseloads of ESKD patients throughout all phases of the event. A description of lessons learned along the path towards improved patient support in disasters, is provided. The article concludes with a detailed case example, describing dialysis providers' effective response throughout Hurricane Ian's passage across the State of Florida in 2022. Based on lessons learned, this analysis outlines strategies for protecting patients with ESKD that may be adapted for future climate-potentiated disaster scenarios.

Spatiotemporal Facility-Level Patterns of Summer Heat Exposure, Vulnerability, and Risk in United States Prison Landscapes.

Heat is associated with increased risk of morbidity and mortality. People who are incarcerated are especially vulnerable to heat exposure due to demographic characteristics and their conditions of confinement. Evaluating heat exposure in prisons, and the characteristics of exposed populations and prisons, can elucidate prison-level risk to heat exposure. We leveraged a high-resolution air temperature data set to evaluate short and long-term patterns of heat metrics for 1,614 prisons in the United States from 1990 to 2023. We found that the most heat-exposed facilities and states were mostly in the Southwestern United States, while the prisons with the highest temperature anomalies from the historical record were in the Pacific Northwest, the Northeast, Texas, and parts of the Midwest. Prisons in the Pacific Northwest, the Northeast, and upper Midwest had the highest occurrences of days associated with an increased risk of heat-related mortality. We also estimated differences in heat exposure at prisons by facility and individual-level characteristics. We found higher proportions of non-white and Hispanic populations in the prisons with higher heat exposure. Lastly, we found that heat exposure was higher in prisons with any of nine facility-level characteristics that may modify risk to heat. This study brings together distinct measures of exposure, vulnerability, and risk, which would each inform unique strategies for heat-interventions. Community leaders and policymakers should carefully consider which measures they want to apply, and include the voices of directly impacted people, as the differing metrics and perspectives will have implications for who is included in fights for environmental justice.

Media-Based Post-Event Impact Analysis of the 2021 Heat Dome in Canada.

The unprecedented 2021 Heat Dome caused wide-ranging and long-lasting impacts in western Canada, including 619 confirmed heat-related deaths in British Columbia, a doubling of emergency medical calls, increased hospitalisations, infrastructure failures and stress on plants and animals. However, such varied socio-economic consequences of extreme heat can be challenging to capture using a single post-event analysis method. Therefore, there is a need to explore alternative approaches and data sources. Using the 2021 Heat Dome as a case study, a post-event analysis using online news media articles (n = 2909) from 5 subscription news databases and a grey literature search was conducted to identify the socio-economic impacts of the extreme heat event in Canada. The articles reported a wide range of effects to the natural environment (n = 1366), social infrastructure and services (n = 1121), human health (n = 1074), critical infrastructure (n = 988) and the private sector (n = 165). The media-based post-event analysis captured various impacts, some of which have not been identified through other data sources and approaches. Overall, we show that media analysis can complement traditional post-event analysis methods and provide additional perspectives to governments and public health and safety officials.

Medicaid Adapts to Extreme Heat: Evolving State-Based Coverage of Home Air Conditioning.

Anthropogenic climate change is increasing the frequency and severity of extreme heat events, leading to increased morbidity and mortality. Many of the populations at greatest risk from the health threats of extreme heat are also more likely to receive health insurance coverage from the Medicaid program. While Medicaid has not historically covered air conditioners, an increasing number of states are offering coverage. Of the Medicaid programs administered by the 50 states and Washington DC, 13 currently offer an air conditioner coverage benefit and 2 have applied to offer coverage to the federal government. Most of these states have obtained various types of waivers under the Social Security Act to cover air conditioners. Section 1115 waivers tend to offer more flexible and holistic coverage. The states offering coverage vary in the types of air conditioners covered, the approximate frequency with which air conditioners have been furnished, and the billing codes utilized. The lack of a specific billing code or procedure modifier code for air conditioners is a barrier to tracking the effectiveness, reach, and implementation of air conditioner coverage policies within and across states.

Methodological Approaches for Measuring the Association Between Heat Exposure and Health Outcomes: A Comprehensive Global Scoping Review.

OBJECTIVE: To synthesize the methodologies of studies that evaluate the impacts of heat exposure on morbidity and mortality. METHODS: Embase, MEDLINE, Web of Science, and Scopus were searched from date of inception until 1 March 2023 for English language literature on heat exposure and health outcomes. Records were collated, deduplicated and screened, and full texts were reviewed for inclusion and data abstraction. Eligibility for inclusion was determined as any article with climate-related heat exposure and an associated morbidity/mortality outcome. RESULTS: Of 13,136 records initially identified, 237 articles were selected for analysis. The scope of research represented 43 countries, with most studies conducted in China (62), the USA (44), and Australia (16). Across all studies, there were 141 unique climate data sources, no standard threshold for extreme heat, and 200 unique health outcome data sources. The distributed lag non-linear model (DLNM) was the most common analytic method (48.1% of studies) and had high usage rates in China (68.9%) and the USA (31.8%); Australia frequently used conditional logistic regression (50%). Conditional logistic regression was most prevalent in case-control studies (5 of 8 studies, 62.5%) and in case-crossover studies (29 of 70, 41.4%). DLNMs were most common in time series studies (64 of 111, 57.7%) and ecological studies (13 of 20, 65.0%). CONCLUSIONS: This review underscores the heterogeneity of methods in heat impact studies across diverse settings and provides a resource for future researchers. Underrepresentation of certain countries, health outcomes, and limited data access were identified as potential barriers.

Gridded dataset on land surface temperature and selected environmental and socioeconomic features in Southeast Asian metropolises.

As Southeast Asia grapples with extreme heat occurrences in recent years, mapping which areas are clustered with elevated temperatures is crucial for monitoring the at-risk population. Identifying the contributing factors to the warming trends in these areas is also vital in formulating adaptation and mitigation strategies. This dataset comprises land surface temperature (LST) in three metropolises in the region - Metropolitan Manila, Bangkok Metropolitan Area, and Greater Jakarta - downloaded and processed from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument. We used MODIS' inherent grid system to map LST values at the satellite image's most granular level. We combined them with selected environmental and socioeconomic variables, including building and built-up areas, areas of greeneries, industrial zones, and water bodies, nighttime light (to approximate areas of economic activities), gridded population, distance from water bodies, and indicators on which urban infrastructures, i.e. roads and airports, are present in each grid. Available in shapefile and comma-separate variable file format, this dataset is useful for urban studies in these three cities. The dataset can be easily updated as additional data on LST and other variables becomes available.

Vulnerable to heat stress: gaps in international standard metric thresholds.

Exposure time to heat is increasing with climate change. Heat exposure thresholds are important to inform heat early warning systems, and legislation and guidance for safety in the workplace. It has already been stated that thresholds can be lower for vulnerable groups, including the elderly, pregnant women, children, and those with pre-existing medical conditions due to their reduced ability to thermoregulate their temperature or apply cooling strategies. However, the Wet Bulb Globe Temperature (WBGT) proposed by the international standard organisation (ISO 7243:2017), only takes into account thresholds based on acclimatization status. Therefore in this study we carried out a PRISMA systematic keyword search of "Wet Bulb Globe Temperature" of the Scopus abstract and citation database in August 2023 and a meta-analysis of text extracted from the identified 913 international studies published between December 1957 and July 2023, to investigate heat stress thresholds for different population groups. We find that different thresholds are considered as an indication of heat stress for different population groups. However, critical gaps were identified for the most vulnerable populations, and there are lower numbers of studies on women. Most studies researched adult populations between the ages of 18 and 55 (n = 491), failing to include the youngest and oldest members of society. Based on these findings, we call for targeted investigations to inform effective heat action policies and set early warning thresholds to ensure the safety and wellbeing of the entire population.

The development of an adaptive heat stress compensability classification applied to the United States.

Traditional climate classification and weather typing systems are not designed to understand and prevent heat illness, or to design effective cooling strategies during extreme heat. Thus, we developed the Heat Stress Compensability Classification (HSCC) combining open-source historical weather data (2005-2020) with biophysical modeling of a standard human, in the sun or shade, during peak city-specific hot hours on the top 10th percentile hottest days in 96 U.S. cities. Four categories of uncompensable heat stress (UHS)--which can result in rising core temperature--were established based on the relative constraints of dry and evaporative heat exchanges for achieving heat balance in proportion to constant metabolic heat production (112Wm-2). Results show that 88.7% of these peak-hot hours meet the UHS criterion, and 41% present a dry heat gain of 70 to 150Wm-2 while allowing a maximum evaporative loss between 90 and 140Wm-2. Evaporative heat loss constraints dominate the eastern U.S. Dry heat gain was widespread, yet particularly high in the south and southwest. Full shade reduces UHS frequency to 7.6%, highlighting the importance of quality shade access and accounting for radiative load in heat stress assessments. Although there are five distinct categories (one compensable and four UHS), the HSCC is dynamic and customizable, providing actionable information on thermal variations within a given category. These variations depict the reason for UHS (e.g., limited evaporative cooling) and, thus, how to concentrate cooling efforts, particularly at the limits of physiological adaptability. Findings facilitate developing targeted criteria for heat stress reduction with potential global applications.

The heat-mortality association in Jordan: Effect modification by greenness, population density and urbanization level.

BACKGROUND: The Middle East is one of the most vulnerable regions to the impacts of climate change, yet evidence of the heat-related mortality remains limited in this area. Our present study investigated the heat-mortality association in Jordan and the potential modifying effect of greenness, population density and urbanization level on the association. METHODS: For each of the 42 included districts, daily meteorological and mortality data from 2000 to 2020 were obtained for the warmest months (May to September). First, a distributed lag non-linear model was applied to estimate the district level heat-mortality association, then the district specific estimates were pooled using multivariate meta-regression models to obtain an overall estimate. Last, the modifying effect of district level greenness, population density and urbanization level was examined through subgroup analysis. RESULTS: When compared to the minimum mortality temperature (MMT, percentile 0th, 22.20 °C), the 99th temperature percentile exhibited a relative risk (RR) of 1.34 (95 % CI 1.23, 1.45). Districts with low greenness had a higher heat-mortality risk (RR 1.39, 95 % CI 1.22, 1.58) when compared to the high greenness (RR 1.28, 95 % CI 1.13, 1.45). While heat-mortality risk did not significantly differ between population density subgroups, highly urbanized districts had a greater heat-mortality risk (RR 1.41, 95 % CI 1.23, 1.62) as compared to ones with low levels of urbanization (RR 1.32, 95 % CI 1.13, 1.55). Districts with high urbanization level had the highest heat-mortality risk if they were further categorized as having low greenness (RR 1.63, 95 % CI 1.30, 2.04). CONCLUSION: Exposure to heat was associated with increased mortality risk in Jordan. This risk was higher in districts with low greenness and high urbanization level. As climate change-related heat mortality will be on the rise, early warning systems in highly vulnerable communities in Jordan are required and greening initiatives should be pursued.

Residential segregation and summertime air temperature across 13 northeastern U.S. states: Potential implications for energy burden.

High ambient summertime temperatures are an increasing health concern with climate change. This is a particular concern for minoritized households in the United States, for which differential energy burden may compromise adaptive capacity to high temperatures. Our research question was: Do minoritized groups experience hotter summers than the area average, and do non-Hispanic white people experience cooler summers? Using a fine-scaled spatiotemporal air temperature model and U.S. census data, we examined local (within-county) differences in warm season cooling degree days (CDDs) by ethnoracial group as a proxy for local energy demand for space cooling across states of the northeast and mid-Atlantic U.S. in 2003-2019. Using state-specific regression models adjusted for year and county, we found that Black and Latino people consistently experienced more CDDs, non-Hispanic white people experienced fewer CDDs, and Asian populations showed mixed results. We also explored a concentration-based measure of residential segregation for each ethnoracial group as one possible pathway towards temperature disparities. We included the segregation measure as a smooth term in a regression model adjusted for county and year. The results were nonlinear, but higher concentrations of white people were associated with lower annual CDDs and higher concentrations of Latino people were associated with higher annual CDDs than the county average. Concentrations for Black and Asian people were nonmonotonic, sometimes with bowed associations. These findings suggest that present-day residential segregation, as modeled by spatially smoothed ethnoracial subgroup concentrations, may contribute to summertime air temperature disparities and influence adaptive capacity. We hope these findings can support place-based interventions, including targeting of energy insecurity relief programs.