Heat-related mortality in U.S. state and private prisons: A case-crossover analysis.

Rising temperatures and heatwaves increase mortality. Many of the subpopulations most vulnerable to heat-related mortality are in prisons, facilities that may exacerbate temperature exposures. Yet, there is scare literature on the impacts of heat among incarcerated populations. We analyzed data on mortality in U.S. state and private prisons from 2001-2019 linked to daily maximum temperature data for the months of June, July, and August. Using a case-crossover approach and distributed lag models, we estimated the association of increasing temperatures with total mortality, heart disease-related mortality, and suicides. We also examined the association with extreme heat and heatwaves (days above the 90th percentile for the prison location) and assessed effect modification by personal, facility, and regional characteristics. There were 12,836 deaths during summer months. The majority were male (96%) and housed in a state-operated prison (97%). A 10°F increase was associated with a 5.2% (95% CI: 1.5%, 9.0%) increase in total mortality and a 6.7% (95% CI: -0.6%, 14.0%) increase in heart disease mortality. The association between temperature and suicides was delayed, peaking around lag 3 (exposure at three days prior death). Two- and three-day heatwaves were associated with increased total mortality of 5.5% (95% CI: 0.3%, 10.9%) and 7.4% (95% CI: 1.6%, 13.5%), respectively. The cumulative effect (lags 1-3) of an extreme heat day was associated with a 22.8% (95% CI: 3.3%, 46.0%) increase in suicides. We found the greatest increase in mortality among people ≥ 65 years old, incarcerated less than one year, held in the Northeast region, and in urban or rural counties. These findings suggest that warm temperatures are associated with increased mortality in prisons, yet this vulnerable population's risk has largely been overlooked.

Maternal and Neonatal Outcomes Before and During the COVID-19 Pandemic.

OBJECTIVE: The COVID-19 pandemic brought about many social, psychological, and economic changes. We sought to compare pregnancy and birth outcomes immediately preceding the COVID-19 lockdown to those 12 months later. STUDY DESIGN: This was a retrospective cohort study of people giving birth at a large-volume tertiary medical center in Rhode Island. We compared those who gave birth in February 2020 to those in February 2021.  Results: Fewer people delivered in 2021 than 2020 (562 vs. 655). There was a non-significant decrease in the number of primary cesarean deliveries from 2020 to 2021. Insurance status modified this effect as there was a significant decrease in the number of patients with private insurance undergoing primary cesarean (63.6 vs 36.4%, p=0.004). Neonatal complications significantly decreased (55.4% vs 47.4%, p=0.006). CONCLUSION: There were differences in sociodemographic characteristics and outcomes of birthing people between 2020 and 2021. The socioeconomic and healthcare landscape caused by COVID-19 altered statewide birthing patterns.

Provision of Air Conditioning and Heat-Related Mortality in Texas Prisons.

Importance: There is a large body of epidemiologic evidence that heat is associated with increased risk of mortality. One of the most effective strategies to mitigate the effects of heat is through air conditioning (AC); Texas regulates the internal temperature of jails to stay between 65 and 85 °F degrees, but these same standards do not apply to state and private prisons. Objective: To analyze whether heat during warm months is associated with an increased risk of mortality in Texas prisons without AC. Design, Setting, and Participants: This case-crossover study included individuals who died in Texas prisons between 2001 and 2019. The association of heat in warm months with mortality in Texas prisons with and without AC was estimated. Data analysis was conducted from January to April 2022. Exposures: Increasing daily heat index above 85 °F and extreme heat days (days above the 90th percentile heat index for the prison location). Main Outcomes and Measures: Daily mortality in Texas prisons. Results: There were 2083 and 1381 deaths in prisons without and with AC, respectively, during warm months from 2001 to 2019. Most of the deceased were male (3339 of 3464 [96%]) and the median (IQR) age at death was 54 (45-62) years. A 1-degree increase above 85 °F heat index and an extreme heat day were associated with a 0.7% (95% CI, 0.1%-1.3%) and a 15.1% (95% CI, 1.3%-30.8%) increase in the risk of mortality in prisons without AC, respectively. Approximately 13% of mortality or 271 deaths may be attributable to extreme heat during warm months between 2001 to 2019 in Texas prison facilities without AC. In prisons with AC, a negative percentage change in mortality risk was observed, although the 95% CI crossed zero (percentage change in mortality risk: -0.6%; 95% CI, -1.6% to 0.5%). The estimates in prisons without AC were statistically different than the estimates in prisons with AC (P = .05). Conclusions and Relevance: This study found an average of 14 deaths per year between 2001 to 2019 were associated with heat in Texas prisons without AC vs no deaths associated with heat in prisons with AC. Adopting an AC policy in Texas prisons may be important for protecting the health of one of our most vulnerable populations.

Mortality among Nursing Home Residents Enrolled in Hospice and Hospice Utilization Post-Hurricane Irma.

Background: Nursing home (NH) residents are vulnerable to increased mortality after a natural disaster such as hurricanes but the specific vulnerability of NH residents on hospice and the impact on admission to hospice are unknown. Objectives: Exposure to Hurricane Irma (2017) was used to evaluate increased mortality among Florida NH residents by hospice status compared with the same time period in a nonhurricane year. Difference in hospice utilization rates poststorm for short- and long-stay NH residents was also examined. Setting/Subjects: Subject were all Florida NH residents of age 65 years and older utilizing fee-for-service Medicare claims data exposed to Hurricane Irma in 2017 compared with a control group of residents residing at the same NHs in 2015. Analysis: Mortality rates were calculated by hospice status, rates of hospice enrollment, and the corresponding odds ratios (ORs). Results: Hurricane exposure was associated with an increase in mortality 30 days poststorm (OR = 1.12, 95% confidence interval [CI]: 1.00-1.26) but not 90 days poststorm (OR = 1.02, 95% CI: 0.95-1.10) for residents on hospice. For the rate of hospice enrollment poststorm among residents previously not on hospice, there was an increase in odds of enrollment among long-stay residents in 30 days (OR = 1.15, 95% CI: 1.02-1.23) and 90 days (OR = 1.12, 95% CI: 1.05-1.20) but not short-stay residents within 30 (OR = 1.02, 95% CI: 0.91-1.15) and 90 days (OR = 1.07, 95% CI: 0.99-1.15). Conclusion: Mortality in NH residents on hospice care increased in the aftermath of Hurricane Irma. In addition, NH residents not on hospice were more likely to be referred to hospice in the 30 days after the storm.

Association of Power Outage With Mortality and Hospitalizations Among Florida Nursing Home Residents After Hurricane Irma.

Importance: Exposure to hurricanes is associated with increased mortality and morbidity in nursing home (NH) residents, but the factors contributing to these outcomes are less understood. One hypothesized pathway could be power outages from hurricanes that expose NH residents to excess ambient heat. Objective: To determine the association of power loss from Hurricane Irma with hospitalization and mortality in NH residents in Florida. Design Setting and Participants: This retrospective cohort study of NH residents residing in Florida when Hurricane Irma landed on September 10, 2017, assessed mortality at 7 and 30 days after the storm and hospitalization at 30 days after the storm. The analysis was conducted from May 2, 2021, to June 28, 2021. All NH residents residing in Florida at landfall were eligible (N = 67 273). We excluded those younger than 65 years, missing power status information, or who were evacuated (13 178 [19.6%]). Exposure: We used state-administered surveys to determine NH power outage status. Exposed residents experienced a power outage poststorm, whereas unexposed residents did not experience a power outage poststorm. Main Outcomes and Measures: We used Medicare claims to assess mortality and hospitalization after Hurricane Irma landfall using generalized linear models with robust standard errors. Results: In the aftermath of Hurricane Irma, 27 892 residents (18 510 women [66.4%]; 3906 [14.0%] Black, 1651 [5.9%] Hispanic, and 21 756 [78.0%] White individuals) in 299 NHs were exposed to power loss and 26 203 residents (17 620 women [67.2%]; 4175 [15.9%] Black, 1030 [3.9%] Hispanic, and 20 477 [78.1%] White individuals) in 292 NHs were unexposed. Nursing homes that lost power were similar in size, quality star rating, and type of ownership compared with NHs that did not lose power. Power loss was associated with an increased adjusted odds of mortality among all residents within 7 days (odds ratio [OR],1.25; 95% CI,1.05-1.48) and 30 days (OR, 1.12; 95% CI,1.02-1.23) poststorm and hospitalization within 30 days, although only among residents aged 65 to 74 years (OR, 1.16; 95% CI, 1.03-1.33). Conclusions and Relevance: In this cohort study, power loss was associated with higher odds of mortality in all affected NH residents and hospitalization in some residents. The benefits and costs of policies that require NHs to have emergency alternate power sources should be assessed.

Association Between Exposure to Hurricane Irma and Mortality and Hospitalization in Florida Nursing Home Residents.

Importance: Nursing home residents are at heightened risk for morbidity and mortality following an exposure to a disaster such as a hurricane or the COVID19 pandemic. Previous research has shown that nursing home resident mortality related to disasters is frequently underreported. There is a need to better understand the consequences of disasters on nursing home residents and to differentiate vulnerability based on patient characteristics. Objective: To evaluate mortality and morbidity associated with exposure to Hurricane Irma, a Category 4 storm that made landfall on September 10, 2017, in Cudjoe Key, Florida, among short-stay (<90-day residence) and long-stay (≥90-day residence) residents of nursing homes. Design, Setting, and Participants: Cohort study of Florida nursing home residents comparing residents exposed to Hurricane Irma in September 2017 to a control group of residents residing at the same nursing homes over the same time period in calendar year 2015. Data were analyzed from August 28, 2019, to July 22, 2020. Exposure: Residents who experienced Hurricane Irma were considered exposed; those who did not were considered unexposed. Main Outcome and Measures: Outcome variables included 30-day and 90-day mortality and first hospitalizations after the storm in both the short term and the long term. Results: A total of 61 564 residents who were present in 640 Florida nursing home facilities on September 7, 2017, were identified. A comparison cohort of 61 813 residents was evaluated in 2015. Both cohorts were mostly female (2015, 68%; 2017, 67%), mostly White (2015, 79%; 2017, 78%), and approximately 40% of the residents in each group were over the age of 85 years. Compared with the control group in 2015, an additional 262 more nursing home deaths were identified at 30 days and 433 more deaths at 90 days. The odds of a first hospitalization for those exposed (vs nonexposed) were 1.09 (95% CI, 1.05-1.13) within the first 30 days after the storm and 1.05 (95% CI, 1.02-1.08) at 90 days; the odds of mortality were 1.12 (95% CI, 1.05-1.18) at 30 days and 1.07 (95% CI, 1.03-1.11) at 90 days. Among long-stay residents, the odds of mortality for those exposed to Hurricane Irma were 1.18 (95% CI, 1.08-1.29) times those unexposed and the odds of hospitalization were 1.11 (95% CI, 1.04-1.18) times those unexposed in the post 30-day period. Conclusions and Relevance: The findings of this study suggest that nursing home residents are at considerable risk to the consequences of disasters. These risks may be underreported by state and federal agencies. Long-stay residents, those who have resided in a nursing home for 90 days or more, may be most vulnerable to the consequences of hurricane disasters.

Modeling COVID-19 and Its Impacts on U.S. Immigration and Customs Enforcement (ICE) Detention Facilities, 2020.

U.S. Immigration and Customs Enforcement (ICE) facilities house thousands of undocumented immigrants in environments discordant with the public health recommendations to reduce the transmission of 2019 novel coronavirus (COVID-19). Using ICE detainee population data obtained from the ICE Enforcement and Removal Operations (ERO) website as of March 2, 2020, we implemented a simple stochastic susceptible-exposed-infected-recovered model to estimate the rate of COVID-19 transmission within 111 ICE detention facilities and then examined impacts on regional hospital intensive care unit (ICU) capacity. Models considered three scenarios of transmission (optimistic, moderate, pessimistic) over 30-, 60-, and 90-day time horizons across a range of facility sizes. We found that 72% of individuals are expected to be infected by day 90 under the optimistic scenario (R0 = 2.5), while nearly 100% of individuals are expected to be infected by day 90 under a more pessimistic (R0 = 7) scenario. Although asynchronous outbreaks are more likely, day 90 estimates provide an approximation of total positive cases after all ICE facility outbreaks. We determined that, in the most optimistic scenario, coronavirus outbreaks among a minimum of 65 ICE facilities (59%) would overwhelm ICU beds within a 10-mile radius and outbreaks among a minimum of 8 ICE facilities (7%) would overwhelm local ICU beds within a 50-mile radius over a 90-day period, provided every ICU bed was made available for sick detainees. As policymakers seek to rapidly implement interventions that ensure the continued availability of life-saving medical resources across the USA, they may be overlooking the pressing need to slow the spread of COVID-19 infection in ICE's detention facilities. Preventing the rapid spread necessitates intervention measures such as granting ICE detainees widespread release from an unsafe environment by returning them to the community.

Lowering Urinary Phthalate Metabolite Concentrations among Children by Reducing Contaminated Dust in Housing Units: A Randomized Controlled Trial and Observational Study.

Dust in homes can contain phthalates that may adversely affect child development, but whether residential interventions and dust removal can prevent children's exposure to phthalates is unknown. We quantified the influence of a residential lead hazard intervention and dust control on children's urinary phthalate metabolite concentrations. Between 2003 and 2006, The Health Outcomes and Measures of the Environment (HOME) Study randomized 355 pregnant women to receive an intervention to reduce either residential lead or injury hazards before delivery. We quantified eight urinary phthalate metabolites from 288 children at ages 1, 2, or 3 years (680 observations). During yearly home visits, we assessed dust accumulation in housing units. Children in the lead intervention group had 11-12% lower concentrations of the sum of di(2-ethylhexyl) phthalate metabolites, monocarboxyoctyl phthalate, and monocarboxynonyl phthalate compared to the injury intervention group. Monoethyl phthalate concentrations did not differ by group. In observational analyses, children living in housing units that appeared clean had 12-17% lower concentrations of these phthalate metabolites and monobenzyl phthalate, compared to children living in housing units with more dust accumulation. Features of this lead hazard intervention and measures to control dust may reduce children's exposure to phthalates found in building materials and household furnishings.

Parental preconception and prenatal urinary bisphenol A and paraben concentrations and child behavior.

Epidemiologic studies suggest that prenatal urinary bisphenol A (BPA) concentrations are associated with childhood behavior problems, but there is limited research on prenatal paraben concentrations. In rodent offspring, preconception maternal BPA exposure caused behavioral problems and paraben exposure impacted sperm quality. However, the effects of parental preconception and prenatal BPA and paraben exposure on children's neurodevelopment are unknown. METHODS: The Environment and Reproductive Health (EARTH) Study is a prospective cohort of couples from a fertility clinic at Massachusetts General Hospital. The Centers for Disease Control and Prevention (CDC) quantified BPA, butylparaben, ethylparaben, methylparaben, and propylparaben concentrations in multiple urine samples collected before conception and during pregnancy. From the eligible parents (N = 220), we enrolled 158 children between 2 and 9 years of age. The parents completed the Behavior-Assessment-System-for-Children-2 (BASC-2). We estimated covariate-adjusted associations of average parental preconception and prenatal ln-transformed urinary BPA and sum of paraben concentrations (∑paraben) with BASC-2 scores using linear regression with generalized estimating equations. RESULTS: Median urinary BPA and Σparaben concentrations were 1.2 and 189 µg/L in mothers preconception and 1.7 and 25 µg/L in fathers preconception, respectively. Among all children, parental BPA and ∑paraben concentrations were not associated with BASC-2 behavioral symptoms index, internalizing, or externalizing problems scores. Point estimates ranged from -1.5 to 1.4 with wide 95% confidence intervals that included the null value. CONCLUSION: In this fertility clinic cohort, parental preconception and maternal prenatal BPA and paraben concentrations were not associated with problem behaviors among children. However, our small sample sizes reduced the precision of our results.

Cross-sectional associations between urinary triclosan and serum thyroid function biomarker concentrations in women.

INTRODUCTION: Exposure to the antimicrobial agent triclosan is ubiquitous. Research in animals shows that triclosan can cause decreases in thyroxine concentrations. However, the potential effects of triclosan on thyroid function in humans are unclear. OBJECTIVE: To estimate the association between urinary triclosan concentrations and serum thyroid function biomarkers in women seeking assisted reproduction treatment in the Environment and Reproductive Health (EARTH) Study. METHODS: We conducted a cross-sectional study of 317 women enrolled in the EARTH Study, a prospective preconception cohort that recruits Boston area couples. Using samples collected at study entry, we quantified urinary triclosan and serum thyroid function biomarker concentrations, specifically free and total thyroxine and triiodothyronine, thyroid-stimulating hormone (TSH), and thyroid antibodies. We estimated covariate-adjusted differences in thyroid function biomarkers per 10-fold increase in triclosan using linear regression models. We examined effect modification by body mass index (BMI) and infertility diagnosis. RESULTS: The median urinary triclosan concentration was 7.8 µg/L (IQR: 3.0-59 µg/L). Each 10-fold increase in triclosan was inversely associated with free triidothyronine (T3) (ß: -0.06 pg/mL; 95% CI: -0.1, -0.01), thyroperoxidase antibody (TPOAb) (-10%; 95% CI: -19, -0.4), and thyroglobulin antibody (TgAb) (-12%; 95% CI: -23,0.9) concentrations. BMI and infertility diagnosis modified the association of triclosan with free T3 and TPOAb, respectively. CONCLUSION: Urinary triclosan concentrations were inversely associated with specific serum thyroid function biomarkers in this cohort, suggesting that triclosan may affect thyroid homeostasis and autoimmunity.