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BACKGROUND: The health impacts of the rapid transition to the use of electric vehicles are largely unexplored. We completed a scoping review to assess the state of the evidence on use of battery electric and hybrid electric vehicles and health. METHODS: We conducted a literature search of MEDLINE, Embase, Global Health, CINAHL, Scopus, and Environmental Science Collection databases for articles published January 1990 to January 2024. We included articles if they presented observed or modeled data on the association between battery electric or hybrid electric cars, trucks, or buses and health-related outcomes. We abstracted data and summarized results. RESULTS: Out of 897 reviewed articles, 52 met our inclusion criteria. The majority of included articles examined transitions to the use of electric vehicles (n = 49, 94%), with fewer studies examining hybrid electric vehicles (n = 11, 21%) or plug-in hybrid electric vehicles (n = 8, 15%). The most common outcomes examined were premature death (n = 41, 79%) and monetized health outcomes such as medical expenditures (n = 33, 63%). We identified only one observational study on the impact of electric vehicles on health; all other studies reported modeled data. Almost every study (n = 51, 98%) reported some evidence of a positive health impact of transitioning to electric or hybrid electric vehicles, although magnitudes of association varied. There was a paucity of information on the environmental justice implications of vehicle transitions. CONCLUSIONS: The results of the current literature on electric vehicles and health suggest an overall positive health impact of transitioning to electric vehicles. Additional observational studies would help expand our understanding of the real-world health effects of electric vehicles. Future research focused on the environmental justice implications of vehicle fleet transitions could provide additional information about the extent to which the health benefits occur equitably across populations.
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Veículos Automotores , Humanos , Automóveis , Fontes de Energia Elétrica , EletricidadeRESUMO
The physical and mental health impacts of wildfires are wide-ranging. We assessed associations between exposure to wildfire smoke and self-reported symptoms affecting mental health among adults living in Oregon. We linked by interview date and county of residence survey responses from 5807 adults who responded to the 2018 Behavioral Risk Factor Surveillance System's depression and anxiety module with smoke plume density, a proxy for wildfires and wildfire smoke exposure. Associations between weeks in the past year with medium and heavy smoke plume densities and symptoms affecting mental health during the two weeks before the interview date were estimated using predicted marginal probabilities from logistic regression models. In the year before completing the interview, 100% of respondents experienced ≥2 weeks of medium or heavy smoke, with an average exposure duration of 32 days. Nearly 10% reported being unable to stop or control their worrying more than half the time over the past two weeks. Medium or heavy smoke for 6 or more weeks in the past year, compared to ≤4 weeks in the past year, was associated with a 30% higher prevalence of being unable to stop or control worrying more than half the time during the past two weeks (prevalence ratio: 1.30, 95% confidence interval: 1.03, 1.65). Among adults in Oregon, selected symptoms affecting mental health were associated with extended durations of medium and heavy smoke. These findings highlight the burden of such symptoms among adults living in communities affected by wildfires and wildfire smoke.
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Fumaça , Incêndios Florestais , Adulto , Humanos , Fumaça/efeitos adversos , Saúde Mental , Oregon/epidemiologia , AnsiedadeRESUMO
OBJECTIVE: To describe asthma control and household environmental exposures among adults and children with asthma in Puerto Rico. METHODS: A cross-sectional analysis was conducted using data from the 2014-2016 Behavioral Risk Factor Surveillance System Asthma Call-back Survey on 931 adults and 177 children with current asthma in Puerto Rico. These data were analyzed to assess the prevalence of uncontrolled asthma in Puerto Rico and potential associations with household environmental exposure to cockroaches, smoke, and mold. Asthma control was classified using daytime and nighttime symptoms, activity limitation, and short-acting beta agonist use. Prevalence and prevalence ratios were calculated, adjusting for sample weighting. RESULTS: An estimated 53% of adults with asthma and 29% of children with asthma in Puerto Rico have uncontrolled asthma. Among adults with asthma, in the past 30 days, 29% had seen or smelled mold and 50% had seen cockroaches; in the past week, 12% reported having someone smoke in their home. Adults with uncontrolled asthma were 1.4 times more likely to have observed mold in their homes than were those with controlled asthma when adjusting for age, sex, education, and income (prevalence ratio [95% confidence interval]: 1.4 [1.1, 1.8]). Children with uncontrolled asthma were also more likely to have mold observed in their home than were children with controlled asthma (adjusted PR [95% CI]: 3.0 [1.3, 7.1]). CONCLUSIONS: Uncontrolled asthma is common among adults and children with asthma in Puerto Rico. These results suggest potential differences in household mold exposure by asthma control status.
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Asma , Adulto , Asma/epidemiologia , Asma/etiologia , Criança , Estudos Transversais , Exposição Ambiental/efeitos adversos , Fungos , Humanos , Porto Rico/epidemiologia , FumaçaRESUMO
OBJECTIVE: This study assesses the risk of severe clinical outcomes during hospitalizations of adults with asthma and/or COPD plus COVID-19 and compares those risks with those during hospitalizations of adults with asthma and/or COPD without COVID-19. METHODS: We used data from 877 U.S. hospitals from the Premier Healthcare Database during March 2020-March 2021. Hospitalizations (n = 311,215) among patients aged ≥18 years with an ICD-10-CM diagnosis involving asthma or COPD were classified into three groups: adults with asthma (but not COPD), adults with COPD (but not asthma), and adults with both asthma and COPD. We used multivariable Poisson regression to assess associations of severe clinical outcomes [intensive care unit (ICU) admission, use of invasive mechanical ventilation (IMV), and death] and COVID-19 status. RESULTS: The percentage of hospitalizations among patients with asthma and COVID-19 resulting in ICU admission, IMV, and death were 46.9%, 14.0%, and 8.0%, respectively. These risks were higher than those among patients with asthma without COVID-19 (adjusted risk ratio [aRR], 1.17 [95% confidence interval (CI), 1.14-1.21], 1.61 [95% CI, 1.50-1.73], and 5.56 [95% CI, 4.89-6.32]), respectively. Risks of ICU admission, IMV, and death were also high among patients with COPD and COVID-19 and exceeded the corresponding risks among patients with COPD without COVID-19. CONCLUSION: Hospitalizations among patients with asthma and/or COPD with COVID-19 had a more severe clinical course than hospitalizations for asthma and/or COPD exacerbations without COVID-19.Supplemental data for this article is available online at at www.tandfonline.com/ijas .
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Asma , COVID-19 , Doença Pulmonar Obstrutiva Crônica , Humanos , Adulto , Adolescente , Asma/epidemiologia , Asma/terapia , COVID-19/epidemiologia , COVID-19/terapia , Doença Pulmonar Obstrutiva Crônica/epidemiologia , Doença Pulmonar Obstrutiva Crônica/terapia , Hospitalização , Razão de ChancesRESUMO
OBJECTIVE: To examine the association between daycare attendance and asthma control among children aged 0 to 4 years with asthma. METHODS: We analyzed 2012-2014 data from the Behavioral Risk Factor Surveillance System Asthma Call-back Survey on 388 children with asthma aged 0 to 4 years with information on daycare attendance in the past 12 months. We calculated weighted prevalence ratios to assess the association between daycare attendance and asthma control (categorized based on day-time and nighttime asthma symptoms, activity limitation, and short-acting beta agonist use). Adjusted models controlled for parent or guardian education, household income, race, sex, cost barriers to asthma care, long-term control medication use, and the number of other children in the child's household. RESULTS: In this sample of children with asthma, representative of 520,400 children in 26 U.S. states, 34% attended daycare in the past 12 months. Only 32% of children who attended daycare in the past 12 months reported having an asthma action plan on file at the daycare they most recently attended. Presence of the asthma triggers of pets, mold, and smoking in a child's daycare were reported to be uncommon. Prevalence of uncontrolled asthma was 44% in children who attended daycare in the past 12 months and 68% in children who did not. The adjusted prevalence ratio between daycare attendance and uncontrolled asthma was 0.96 (95% confidence interval 0.73, 1.25). CONCLUSIONS: When adjusting for covariates, we observed no evidence of an association between daycare attendance in early life and uncontrolled asthma.
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Asma/terapia , Creches , Asma/epidemiologia , Sistema de Vigilância de Fator de Risco Comportamental , Pré-Escolar , Feminino , Humanos , Lactente , Recém-Nascido , Masculino , Inquéritos e QuestionáriosRESUMO
INTRODUCTION: Severe COVID-19 illness in adults has been linked to underlying medical conditions. This study identified frequent underlying conditions and their attributable risk of severe COVID-19 illness. METHODS: We used data from more than 800 US hospitals in the Premier Healthcare Database Special COVID-19 Release (PHD-SR) to describe hospitalized patients aged 18 years or older with COVID-19 from March 2020 through March 2021. We used multivariable generalized linear models to estimate adjusted risk of intensive care unit admission, invasive mechanical ventilation, and death associated with frequent conditions and total number of conditions. RESULTS: Among 4,899,447 hospitalized adults in PHD-SR, 540,667 (11.0%) were patients with COVID-19, of whom 94.9% had at least 1 underlying medical condition. Essential hypertension (50.4%), disorders of lipid metabolism (49.4%), and obesity (33.0%) were the most common. The strongest risk factors for death were obesity (adjusted risk ratio [aRR] = 1.30; 95% CI, 1.27-1.33), anxiety and fear-related disorders (aRR = 1.28; 95% CI, 1.25-1.31), and diabetes with complication (aRR = 1.26; 95% CI, 1.24-1.28), as well as the total number of conditions, with aRRs of death ranging from 1.53 (95% CI, 1.41-1.67) for patients with 1 condition to 3.82 (95% CI, 3.45-4.23) for patients with more than 10 conditions (compared with patients with no conditions). CONCLUSION: Certain underlying conditions and the number of conditions were associated with severe COVID-19 illness. Hypertension and disorders of lipid metabolism were the most frequent, whereas obesity, diabetes with complication, and anxiety disorders were the strongest risk factors for severe COVID-19 illness. Careful evaluation and management of underlying conditions among patients with COVID-19 can help stratify risk for severe illness.
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COVID-19 , Complicações do Diabetes , Hospitalização/estatística & dados numéricos , Multimorbidade , Doenças não Transmissíveis/epidemiologia , Obesidade , Transtornos Fóbicos , Fatores Etários , Idoso , COVID-19/mortalidade , COVID-19/terapia , Comorbidade , Complicações do Diabetes/diagnóstico , Complicações do Diabetes/epidemiologia , Feminino , Humanos , Masculino , Mortalidade , Obesidade/diagnóstico , Obesidade/epidemiologia , Transtornos Fóbicos/diagnóstico , Transtornos Fóbicos/epidemiologia , Medição de Risco/métodos , Medição de Risco/estatística & dados numéricos , Fatores de Risco , SARS-CoV-2 , Índice de Gravidade de Doença , Estados Unidos/epidemiologiaRESUMO
Coronavirus disease 2019 (COVID-19) is a complex clinical illness with potential complications that might require ongoing clinical care (1-3). Few studies have investigated discharge patterns and hospital readmissions among large groups of patients after an initial COVID-19 hospitalization (4-7). Using electronic health record and administrative data from the Premier Healthcare Database,* CDC assessed patterns of hospital discharge, readmission, and demographic and clinical characteristics associated with hospital readmission after a patient's initial COVID-19 hospitalization (index hospitalization). Among 126,137 unique patients with an index COVID-19 admission during March-July 2020, 15% died during the index hospitalization. Among the 106,543 (85%) surviving patients, 9% (9,504) were readmitted to the same hospital within 2 months of discharge through August 2020. More than a single readmission occurred among 1.6% of patients discharged after the index hospitalization. Readmissions occurred more often among patients discharged to a skilled nursing facility (SNF) (15%) or those needing home health care (12%) than among patients discharged to home or self-care (7%). The odds of hospital readmission increased with age among persons aged ≥65 years, presence of certain chronic conditions, hospitalization within the 3 months preceding the index hospitalization, and if discharge from the index hospitalization was to a SNF or to home with health care assistance. These results support recent analyses that found chronic conditions to be significantly associated with hospital readmission (6,7) and could be explained by the complications of underlying conditions in the presence of COVID-19 (8), COVID-19 sequelae (3), or indirect effects of the COVID-19 pandemic (9). Understanding the frequency of, and risk factors for, readmission can inform clinical practice, discharge disposition decisions, and public health priorities such as health care planning to ensure availability of resources needed for acute and follow-up care of COVID-19 patients. With the recent increases in cases nationwide, hospital planning can account for these increasing numbers along with the potential for at least 9% of patients to be readmitted, requiring additional beds and resources.
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Infecções por Coronavirus/terapia , Hospitalização/estatística & dados numéricos , Alta do Paciente/estatística & dados numéricos , Readmissão do Paciente/estatística & dados numéricos , Pneumonia Viral/terapia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , COVID-19 , Infecções por Coronavirus/epidemiologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Pneumonia Viral/epidemiologia , Fatores de Risco , Estados Unidos/epidemiologia , Adulto JovemRESUMO
In August 2017, Hurricane Harvey caused unprecedented flooding and devastation to the Houston metropolitan area (1). Mold exposure was a serious concern because investigations after Hurricanes Katrina and Rita (2005) had documented extensive mold growth in flood-damaged homes (2,3). Because mold exposure can cause serious illnesses known as invasive mold infections (4,5), and immunosuppressed persons are at high risk for these infections (6,7), several federal agencies recommend that immunosuppressed persons avoid mold-contaminated sites (8,9). To assess the extent of exposure to mold and flood-damaged areas among persons at high risk for invasive mold infections after Hurricane Harvey, CDC and Texas health officials conducted a survey among 103 immunosuppressed residents in Houston. Approximately half of the participants (50) engaged in cleanup of mold and water-damaged areas; these activities included heavy cleanup (23), such as removing furniture or removing drywall, or light cleanup (27), such as wiping down walls or retrieving personal items. Among immunosuppressed persons who performed heavy cleanup, 43% reported wearing a respirator, as did 8% who performed light cleanup. One participant reported wearing all personal protective equipment (PPE) recommended for otherwise healthy persons (i.e., respirator, boots, goggles, and gloves). Immunosuppressed residents who are at high risk for invasive mold infections were exposed to mold and flood-damaged areas after Hurricane Harvey; recommendations from health care providers to avoid exposure to mold and flood-damaged areas could mitigate the risk to immunosuppressed persons.
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Tempestades Ciclônicas , Desastres , Exposição Ambiental/estatística & dados numéricos , Fungos , Hospedeiro Imunocomprometido , Exposição Ambiental/efeitos adversos , Humanos , Infecções Fúngicas Invasivas/epidemiologia , Medição de Risco , Texas/epidemiologiaRESUMO
Introduction: Exposure to ambient air pollution can worsen cardiovascular disease and increase the risk of stroke, myocardial infarction, and cardiovascular disease mortality. Strategies to reduce air pollution exposure can therefore help prevent cardiovascular morbidity and mortality. This study was conducted to assess the awareness among U.S. adults of the effect of air pollution on cardiovascular health and actions individuals can take to reduce their air pollution exposure. Methods: In May-July 2022, 4,156 adults responded to the summer wave of the 2022 ConsumerStyles survey and self-reported their heart disease status and perceptions, awareness, and behaviors about ambient air pollution and health. In 2023, the data were analyzed to generate weighted population estimates representative of noninstitutionalized U.S. adults. Associations between heart disease and responses about perceptions, awareness, and behaviors were estimated using binomial and multinomial regression methods for weighted data. Results: Overall, 90% of the weighted population estimate of U.S. adults reported that air pollution can impact a person's health, and 44% reported that air pollution can cause or worsen heart disease. Percentages of adults reporting that air pollution can impact a person's health (prevalence ratio=1.09; 95% CI=1.06, 1.12) and that air pollution can cause or worsen heart disease (prevalence ratio=1.28; 95% CI=1.08, 1.51) were higher among adults with than without heart disease. Conclusions: Less than half of U.S. adults are aware that air pollution affects heart disease. Improvements in awareness of the effect of air pollution on cardiovascular health and strategies to reduce exposure could help protect individuals with heart disease.
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4-Hidroxicumarinas/intoxicação , Transtornos da Coagulação Sanguínea/epidemiologia , Canabinoides/intoxicação , Surtos de Doenças , Medicamentos Sintéticos/intoxicação , Adolescente , Adulto , Idoso , Feminino , Humanos , Illinois/epidemiologia , Masculino , Pessoa de Meia-Idade , Índice de Gravidade de Doença , Adulto JovemRESUMO
BACKGROUND: Prescribed agricultural burning is a common land management practice, but little is known about the health effects from the resulting smoke exposure. OBJECTIVE: To examine the association between smoke from prescribed burning and cardiorespiratory outcomes in the U.S. state of Kansas. METHODS: We analyzed a zip code-level, daily time series of primary cardiorespiratory emergency department (ED) visits for February-May (months when prescribed burning is common in Kansas) in the years 2009-2011 (n = 109,220). Given limited monitoring data, we formulated a measure of smoke exposure using non-traditional datasets, including fire radiative power and locational attributes from remote sensing data sources. We then assigned a population-weighted potential smoke impact factor (PSIF) to each zip code, based on fire intensity, smoke transport, and fire proximity. We used Poisson generalized linear models to estimate the association between PSIF on the same day and in the past 3 days and asthma, respiratory including asthma, and cardiovascular ED visits. RESULTS: During the study period, prescribed burning took place on approximately 8 million acres in Kansas. Same-day PSIF was associated with a 7% increase in the rate of asthma ED visits when adjusting for month, year, zip code, meteorology, day of week, holidays, and correlation within zip codes (rate ratio [RR]: 1.07; 95% confidence interval [CI]: 1.01, 1.13). Same-day PSIF was not associated with a combined outcome of respiratory ED visits (RR [95% CI]: 0.99 [0.97, 1.02]), or cardiovascular ED visits (RR [95% CI]: 1.01 [0.98, 1.04]). There was no consistent association between PSIF during the past 3 days and any of the outcomes. SIGNIFICANCE: These results suggest an association between smoke exposure and asthma ED visits on the same day. Elucidating these associations will help guide public health programs that address population-level exposure to smoke from prescribed burning.
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Poluentes Atmosféricos , Poluição do Ar , Asma , Humanos , Poluentes Atmosféricos/análise , Kansas/epidemiologia , Serviço Hospitalar de Emergência , Fatores de Tempo , Material Particulado/análise , Poluição do Ar/análiseRESUMO
Following hurricanes, there can be increases in exacerbations of chronic diseases, such as asthma. Asthma is common among children, and many asthma exacerbations can be prevented. This systematic literature review assessed literature describing the impact of hurricanes on children with asthma in the United States. Medline, Embase, Global Health, PubMed, and Scopus databases were searched for peer-reviewed, English-language articles published January 1990 to June 2019 that described the effect of a hurricane on children with asthma. This search identified 212 articles; 8 met inclusion criteria. All 8 were related to Hurricane Katrina, but research questions and study design varied. Articles included information on asthma after hurricanes from cross-sectional surveys, retrospective chart review, and objective clinical testing. Four articles described discontinuity in health insurance, asthma-related health care, or asthma medication use; and 3 articles examined the relationship between mold exposure and asthma symptoms and reported varying results. The eighth study quantified the burden of asthma among people visiting mobile medical units but did not describe factors associated with asthma symptoms. These results highlight opportunities for future research (eg, on more recent hurricanes) and disaster preparedness planning (eg, strategies to prevent health-care discontinuity among children with asthma).
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Asma , Tempestades Ciclônicas , Planejamento em Desastres , Asma/epidemiologia , Criança , Estudos Transversais , Humanos , Estudos Retrospectivos , Estados UnidosRESUMO
Exposure to air pollution is associated with respiratory and cardiovascular effects, particularly among people with underlying respiratory and heart disease. It is therefore important for individuals with respiratory and heart disease to be aware of air quality. However, information about the most effective communication channels for disseminating air quality alerts is limited. We assessed communication channels used for receiving air quality alerts among U.S. adults using data from the summer 2020 wave of ConsumerStyles, a nationally representative survey of U.S. adults (n = 4053). We calculated weighted percentages of respondents who received air quality alerts from six communication channels and stratified by demographic and health characteristics. We calculated weighted prevalence ratios (PRs) adjusted for sex, age, race/ethnicity, and education to assess if communication channel use varied by presence of respiratory or heart disease. Sixty-four percent of U.S. adults had heard or read about air quality alerts. Television was the most commonly reported communication channel for receiving alerts (57.5%), followed by app on mobile phone or device (30.2%) and internet or social media (26.4%). Communication channels differed most prominently by age. The proportion of adults receiving alerts from specific communication channels did not notably vary by presence of heart disease. Adults with respiratory disease more often reported receiving alerts from their doctor's office than adults without respiratory disease (PR: 3.10, 95% confidence interval: 1.49, 6.45). These findings can be used by public health officials to increase awareness of poor air quality days and improve the reach of alerts to target populations.
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OBJECTIVE: Previous research suggests that people with asthma may experience a worsening of symptoms following hurricanes due to changes in environmental exposures, discontinuity in chronic disease management, and stress. The objective of this study was to estimate changes in asthma-related emergency department (ED) visits in North Carolina following Hurricane Irene, which made landfall in August 2011. METHODS: Changes in asthma-related ED visits in September to December of 2010 and 2011 were examined using data from the Healthcare Cost and Utilization Project State Emergency Department and Inpatient Databases. A Poisson generalized linear model was used to estimate the association between Federal Emergency Management Agency disaster declarations following Hurricane Irene and county-level asthma-related ED visits controlling for month, year, and county. RESULTS: Following Hurricane Irene, disaster declarations were made for 38 of 100 counties in North Carolina. In September 2010, the rate of asthma-related ED visits for North Carolina was 6 per 10,000 person-months. In September 2011, rates of asthma-related ED visits were similar in counties with and without disaster declarations (7 and 5 per 10,000 person-months, respectively). When adjusting for covariates, there was little or no difference in the rate of asthma ED visits before and after the hurricane between counties with and without a disaster declaration (rate ratio {RR} [95% confidence interval {CI}] = 1.02[0.97, 1.08]). CONCLUSIONS: Although risk factors for asthma exacerbations increase following hurricanes, these results found little evidence of an increase in asthma-related ED visits in North Carolina following Hurricane Irene.
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We described antibiotic use among inpatients with coronavirus disease 2019 (COVID-19). Most COVID-19 inpatients received antibiotic therapy. We also described hospital-wide antibiotic use during 2020 compared with 2019, stratified by hospital COVID-19 burden. Although total antibiotic use decreased between years, certain antibiotic use increased with higher COVID-19 burden.
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BACKGROUND: Older adults and people from certain racial and ethnic groups are disproportionately represented in coronavirus disease 2019 (COVID-19) hospitalizations and deaths. METHODS: Using data from the Premier Healthcare Database on 181â 813 hospitalized adults diagnosed with COVID-19 during March-September 2020, we applied multivariable log-binomial regression to assess the associations between age and race/ethnicity and COVID-19 clinical severity (intensive care unit [ICU] admission, invasive mechanical ventilation [IMV], and death) and to determine whether the impact of age on clinical severity differs by race/ethnicity. RESULTS: Overall, 84â 497 (47%) patients were admitted to the ICU, 29â 078 (16%) received IMV, and 27â 864 (15%) died in the hospital. Increased age was strongly associated with clinical severity when controlling for underlying medical conditions and other covariates; the strength of this association differed by race/ethnicity. Compared with non-Hispanic White patients, risk of death was lower among non-Hispanic Black patients (adjusted risk ratio, 0.96; 95% CI, 0.92-0.99) and higher among Hispanic/Latino patients (risk ratio [RR], 1.15; 95% CI, 1.09-1.20), non-Hispanic Asian patients (RR, 1.16; 95% CI, 1.09-1.23), and patients of other racial and ethnic groups (RR, 1.13; 95% CI, 1.06-1.21). Risk of ICU admission and risk of IMV were elevated among some racial and ethnic groups. CONCLUSIONS: These results indicate that age is a driver of poor outcomes among hospitalized persons with COVID-19. Additionally, clinical severity may be elevated among patients of some racial and ethnic minority groups. Public health strategies to reduce severe acute respiratory syndrome coronavirus 2 infection rates among older adults and racial and ethnic minorities are essential to reduce poor outcomes.
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Importance: Information on underlying conditions and severe COVID-19 illness among children is limited. Objective: To examine the risk of severe COVID-19 illness among children associated with underlying medical conditions and medical complexity. Design, Setting, and Participants: This cross-sectional study included patients aged 18 years and younger with International Statistical Classification of Diseases, Tenth Revision, Clinical Modification code U07.1 (COVID-19) or B97.29 (other coronavirus) during an emergency department or inpatient encounter from March 2020 through January 2021. Data were collected from the Premier Healthcare Database Special COVID-19 Release, which included data from more than 800 US hospitals. Multivariable generalized linear models, controlling for patient and hospital characteristics, were used to estimate adjusted risk of severe COVID-19 illness associated with underlying medical conditions and medical complexity. Exposures: Underlying medical conditions and medical complexity (ie, presence of complex or noncomplex chronic disease). Main Outcomes and Measures: Hospitalization and severe illness when hospitalized (ie, combined outcome of intensive care unit admission, invasive mechanical ventilation, or death). Results: Among 43â¯465 patients with COVID-19 aged 18 years or younger, the median (interquartile range) age was 12 (4-16) years, 22â¯943 (52.8%) were female patients, and 12â¯491 (28.7%) had underlying medical conditions. The most common diagnosed conditions were asthma (4416 [10.2%]), neurodevelopmental disorders (1690 [3.9%]), anxiety and fear-related disorders (1374 [3.2%]), depressive disorders (1209 [2.8%]), and obesity (1071 [2.5%]). The strongest risk factors for hospitalization were type 1 diabetes (adjusted risk ratio [aRR], 4.60; 95% CI, 3.91-5.42) and obesity (aRR, 3.07; 95% CI, 2.66-3.54), and the strongest risk factors for severe COVID-19 illness were type 1 diabetes (aRR, 2.38; 95% CI, 2.06-2.76) and cardiac and circulatory congenital anomalies (aRR, 1.72; 95% CI, 1.48-1.99). Prematurity was a risk factor for severe COVID-19 illness among children younger than 2 years (aRR, 1.83; 95% CI, 1.47-2.29). Chronic and complex chronic disease were risk factors for hospitalization, with aRRs of 2.91 (95% CI, 2.63-3.23) and 7.86 (95% CI, 6.91-8.95), respectively, as well as for severe COVID-19 illness, with aRRs of 1.95 (95% CI, 1.69-2.26) and 2.86 (95% CI, 2.47-3.32), respectively. Conclusions and Relevance: This cross-sectional study found a higher risk of severe COVID-19 illness among children with medical complexity and certain underlying conditions, such as type 1 diabetes, cardiac and circulatory congenital anomalies, and obesity. Health care practitioners could consider the potential need for close observation and cautious clinical management of children with these conditions and COVID-19.
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Saúde do Adolescente , COVID-19/epidemiologia , Anormalidades Cardiovasculares/epidemiologia , Saúde da Criança , Diabetes Mellitus Tipo 1/epidemiologia , Obesidade/epidemiologia , Índice de Gravidade de Doença , Adolescente , COVID-19/mortalidade , Criança , Pré-Escolar , Doença Crônica , Comorbidade , Estudos Transversais , Serviço Hospitalar de Emergência , Feminino , Hospitalização , Humanos , Lactente , Unidades de Terapia Intensiva , Masculino , Pandemias , Nascimento Prematuro , Respiração Artificial , SARS-CoV-2 , Estados Unidos/epidemiologiaRESUMO
Short-term exposure to air pollution can result in acute health effects, particularly for individuals with respiratory and cardiovascular disease. Air quality alert programs that notify the public about high air pollution days are critical for susceptible populations. We assessed how U.S. adults receive air quality alerts and whether it varies by demographic or health characteristics. We analyzed data from the summer 2014 wave of ConsumerStyles, a nationally representative survey of U.S. adults (nâ¯=â¯4269). We calculated the weighted proportion of individuals who received air quality alerts from seven communication channels, combining all individuals and stratifying by demographics. To assess whether the reach of communication channels varied by respiratory and cardiovascular disease status, we computed weighted prevalence ratios adjusted for sex, age, race, and education. Forty-eight percent of U.S. adults had heard about air quality alerts. Within every demographic category, television was the most common communication channel (76% among individuals aware of air quality alerts). Other common communication modes were radio (30%), newspaper (24%), and internet (20%). Less common communication modes were friend or family member, mobile phone or device app, and electronic highway sign. The reach of communication channels varied by demographic factors, such as age, but not by respiratory or cardiovascular disease status. Television is the most common communication channel for receiving air quality alerts. Expanding use of other communication channels might increase awareness of air quality alerts. These results can help decision-makers target communication channels that reach susceptible populations and will achieve the greatest impact.