Effects of Blood Lead Levels <10 µg/dL in School-Age Children and Adolescents: A Scoping Review.

Context: Lead exposures among school-age children are a major public health issue. Although the harmful effects of lead exposure during the first years of life are well known, there is not as much understanding of the effects of low levels of lead exposure during later childhood.

Objectives: To review the effects of blood lead levels (BLLs) <10 µg/dL in school-age children and adolescents.

Electric vehicles and health: A scoping review.

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.

Using Randomized Controlled Trials to Estimate the Effect of Community Interventions for Childhood Asthma.

Introduction: The Centers for Disease Control and Prevention's Controlling Childhood Asthma and Reducing Emergencies initiative aims to prevent 500,000 emergency department (ED) visits and hospitalizations within 5 years among children with asthma through implementation of evidence-based interventions and policies. Methods are needed for calculating the anticipated effects of planned asthma programs and the estimated effects of existing asthma programs. We describe and illustrate a method of using results from randomized control trials (RCTs) to estimate changes in rates of adverse asthma events (AAEs) that result from expanding access to asthma interventions.

Assessing asthma self-management education among US children with current asthma, Asthma Call-back Survey (ACBS) 2015-2017.

Objective: Asthma self-management education (AS-ME) is an effective strategy to help children with asthma achieve better asthma control and outcome. The objective of this study is to assess the association between the prevalence of receiving AS-ME curriculum components and sociodemographic characteristics among children with current asthma.

Methods: Behavioral Risk Factor Surveillance System, child Asthma Call-back Survey 2015-2017 aggregated data were used.

Clinical outcomes among hospitalized US adults with asthma or chronic obstructive pulmonary disease, with or without COVID-19.

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.

Trends in COVID-19 Cases, Emergency Department Visits, and Hospital Admissions Among Children and Adolescents Aged 0-17 Years - United States, August 2020-August 2021.

Although COVID-19 generally results in milder disease in children and adolescents than in adults, severe illness from COVID-19 can occur in children and adolescents and might require hospitalization and intensive care unit (ICU) support (1-3). It is not known whether the B.1.

Blood Lead Levels in U.S. Children Ages 1-11 Years, 1976-2016.

Background: Lead can adversely affect child health across a wide range of exposure levels. We describe the distribution of blood lead levels (BLLs) in U.S.

Meta-analysis of animal studies applied to short-term inhalation exposure levels of hazardous chemicals.

For short-term chemical inhalation exposures to hazardous chemicals, the incidence of a health effect in biological testing usually conforms to a general linear model with a probit link function dependent on inhalant concentration C and the duration of exposure t. The National Academy's Acute Exposure Guideline Levels (AEGLs) Committee relies on these models when establishing AEGLs. Threshold concentrations at AEGL durations are established by the toxic load equation C x t = constant, which toxic load exponent n (TLE or n-value) directly follows from the bivariate probit model.