Characterizing Adaptive Capacity for the Future Heat-Related Cardiovascular Morbidity Burden in U.S. Metropolitan Areas Dataset

The dataset used for the analysis in the publication, Characterizing Adaptive Capacity for the Future Heat-Related Cardiovascular Morbidity Burden in U.S. Metropolitan Areas (DOI: https://doi.org/10.1016/j.envint.2025.110022). Abstract Exposure to excess heat is linked to increased risks of cardiovascular diseases (CVD). As temperatures increase globally, it is crucial to examine the potential increase in excess heat-related CVD (xHEAT-CVD) burden to inform strategies for adaptation. This study aimed to identify the contextual factors associated with future xHEAT-CVD burden among older adults across eighty U.S. metropolitan statistical areas (MSAs). The MSA-specific xHEAT-CVD risk for adults ≥ 65 years was estimated using hospitalization and temperature data from 2000 to 2017, with excess heat defined as temperatures above the minimum hospitalization percentile (TMHP). Future xHEAT-CVD hospitalizations were estimated using temperature projections for 2025–2054, 2045–2074, and 2070–2099 under three climate scenarios. Area-level variables were used to identify demographic and economic status, health, environment, and infrastructure contexts and derive Urban Heat Health Risk (UHHR) scores using confirmatory factor analysis. The associations between adaptive capacity (the UHHR scores) and future xHEAT-CVD burden were examined. In 2070–2099 under the mildest scenario, 36 more days annually were projected to be ≥ TMHP, and xHEAT-CVD burden was projected to increase by at least 20.4-fold. Lower adaptive capacity was associated with greater increases in future xHEAT-CVD burden, over 9-fold increase per 1-unit increase in UHHR score (9.1, 95 % Confidence Intervals: 2.8–15.4). The historical xHEAT-CVD burden (2000–2017) was largely driven by the health context, whereas environment played a more important role in the future. Our findings suggest that drivers of the xHEAT-CVD burden may vary across time. Targeting the areas with the highest xHEAT-CVD burden at varying timeframes can help mitigate xHEAT-CVD burden more effectively. This dataset is associated with the following publication: Tsai, W., M. Mcinroe, A. Jalowska, C. Keeler, S. Cleland, C. O'Lenick, T. Spero, A. Schneider, and A. Rappold. Characterizing Adaptive Capacity for the Future Heat-Related Cardiovascular Morbidity Burden in U.S. Metropolitan Areas. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, NETHERLANDS, 207: 110022, (2026).

                                            [
  "020:00"
]
                                        

                                            {
  "fn": "Wei-Lun Tsai",
  "hasEmail": "mailto:tsai.wei-lun@epa.gov"
}
                                        

                                            [
  {
    "title": "xHEATCVD_UHHR_AllVars.xlsx",
    "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
    "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-c304/xHEATCVD_UHHR_AllVars.xlsx"
  }
]
                                        

                                            [
  "Adaptive Capacity",
  "CVD",
  "LOCA",
  "Medicare",
  "Temperature projection",
  "cardiovascular diseases",
  "extreme heat",
  "health burden",
  "heat-health"
]
                                        

                                            [
  "020:000"
]
                                        

                                            {
  "name": "U.S. Environmental Protection Agency",
  "subOrganizationOf": {
    "name": "U.S. Government"
  }
}
                                        

                                            [
  "https://doi.org/10.1016/j.envint.2025.110022"
]
                                        

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