Extreme temperature events are linked to increased emergency department visits, hospitalizations, and mortality for individuals with behavioral health disorders (BHD). This study aims to characterize risk factors for concurrent temperature-related illness among BHD hospitalizations in New York State. Using data from the NYS Statewide and Planning Research and Cooperative System between 2005–2019, multivariate log binomial regression models were used in a population of BHD hospitalizations to estimate risk ratios (RR) for a concurrent heat-related (HRI) or cold-related illness (CRI). Dementia (RR 1.65; 95% CI:1.49, 1.83) and schizophrenia (RR 1.38; 95% CI:1.19, 1.60) were associated with an increased risk for HRI among BHD hospitalizations, while alcohol dependence (RR 2.10; 95% CI:1.99, 2.22), dementia (RR 1.52; 95% CI:1.44, 1.60), schizophrenia (RR 1.41; 95% CI:1.31, 1.52), and non-dependent drug/alcohol use (RR 1.20; 95% CI:1.15, 1.26) were associated with an increased risk of CRI among BHD hospitalizations. Risk factors for concurrent HRI among BHD hospitalizations include increasing age, male gender, non-Hispanic Black race, and medium hospital size. Risk factors for concurrent CRI among BHD hospitalizations include increasing age, male gender, non-Hispanic Black race, insurance payor, the presence of respiratory disease, and rural hospital location. This study adds to the literature by identifying dementia, schizophrenia, substance-use disorders, including alcohol dependence and non-dependent substance-use, and other sociodemographic factors as risk factors for a concurrent CRI in BHD hospitalizations.

New York State (NYS) has experienced warming outpacing the national average, and heat events are increasing. This case-crossover study uses conditional logistic regression to estimate how maximum heat index affects heat-related illness across temporal, demographic, and spatial groups in NYS, from May to September, 2008–2019. The highest risks were in May (Relative Risk (RR) = 1.81, CI: 1.72, 1.90) and August (RR = 1.86, CI: 1.79, 1.94). Older adults, especially those aged 85 and above, are at greatest risk (RR = 1.83, CI: 1.71, 1.96). The Southern Tier climate region had a higher risk (RR = 1.93, CI: 1.80, 2.07) than several other regions. Overall, similar risk between rural and urban NYS was observed. Rural non-Hispanic Black (RR = 2.38, CI: 1.78, 3.19) populations had a higher risk than their urban counterparts. This study was innovative for NYS, providing a deeper understanding of heat–health risks to vulnerable sub-groups. This can assist with facilitating targeted interventions and public health messaging during the periods of highest risk, such as promoting awareness of cooling centers and air-conditioning benefits.

Stillbirth (fetal death ≥ 20 weeks gestation) occurs in approximately 21,000 births each year in the United States. Previous studies have observed associations between neighborhood deprivation and adverse perinatal outcomes. We estimated associations between neighborhood deprivation and singleton stillbirth in New York. We performed a cross-sectional study of stillbirths and live births from hospital claims data from the Statewide Planning and Research Cooperative System (2022-2024). Neighborhood deprivation index (NDI) at the census tract level was assigned to geocoded addresses at delivery. Risk ratios (RR) and 95% confidence intervals (CIs) were estimated using a generalized estimating equations model adjusted for individual-level maternal variables of age at delivery, race/ethnicity, marital status, and primary health insurance payer. Our analysis included 3,128 stillbirths and 552,361 live births. The NDI quartiles were associated with stillbirth, with higher levels of deprivation corresponding to increased risk compared to the least deprived quartiles. We observed the highest risk of stillbirth among women in the most deprived quartile (RR 1.42; 95% CI 1.25-1.61). The association of NDI quartile on the risk of stillbirth did not differ by race/ethnicity. Our findings highlight that women residing in the most deprived NDI quartile could benefit from enhanced prenatal services and support.