Publications by authors named "Amanda Bakian"

Article Synopsis
  • There is a significant knowledge gap around how tropospheric ozone affects mental and developmental health, especially in children, which is critical to investigate due to worsening ozone pollution linked to climate change.
  • The study examines the impact of average ozone exposure during different pregnancy stages (from preconception through trimesters) on the likelihood of intellectual disabilities (ID) in children from Utah, using data from 2002-2020.
  • Results indicate a strong positive correlation between ozone exposure, particularly during the second trimester, and increased odds of ID, highlighting the importance of understanding ozone's effects on cognitive development in light of ongoing climate-related pollution concerns.*
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Prior epidemiological studies investigating the association between delivery mode (i.e., vaginal birth and cesarean section [C-section]) and autism spectrum disorder (ASD) and intellectual disability (ID) risk have reported mixed findings.

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Industrial chemical pollution is released into surface water at a large scale annually in the United States. However, geographic variation and racial disparities in potential exposure are poorly understood at a national scale. Using county-level Risk-Screening Environmental Indicators data for 2011-2021 and American Community Survey data, this study analyzes the spatial and temporal distribution of health risk from modeled water releases using a Gamma hurdle model.

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Background: Evidence linking environmental toxicants to sleep quality is growing; however, these associations during pregnancy remain unclear. We examined the associations of repeated measures of urinary phthalates in early and late pregnancy with multiple markers of sleep quality among pregnant women.

Methods: The study population included 2324 pregnant women from the Korean Children's Environmental Health Study.

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There are substantial challenges in studying human transgenerational epigenetic outcomes resulting from environmental conditions. The task requires specialized methods and tools that incorporate specific knowledge of multigenerational relationship combinations of probands and their ancestors, phenotype data for individuals, environmental information of ancestors and their descendants, which can span historical to present datasets, and informative environmental data that chronologically aligns with ancestors and descendants over space and time. As a result, there are few epidemiologic studies of potential transgenerational effects in human populations, thus limiting the knowledge of ancestral environmental conditions and the potential impacts we face with modern human health outcomes.

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Background: No data exist at the population level on what tests are used to aid in the diagnosis of autism spectrum disorder in community practice.

Objectives: To describe autism spectrum disorder testing practices to inform autism spectrum disorder identification efforts.

Methods: Data are from the Autism and Developmental Disabilities Monitoring Network, a multi-site surveillance system reporting prevalence estimates and characteristics of 8-year-old children with autism spectrum disorder.

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Objective: Our objectives with this study were to describe the frequency of selected cooccurring health conditions and individualized education program (IEP) services and post-high school transition planning for adolescents with autism spectrum disorder and identify disparities by sex, intellectual ability, race or ethnicity, and geographic area.

Methods: The study sample included 1787 adolescents born in 2004 who were identified as having autism through a health and education record review through age 16 years in 2020. These adolescents were part of a longitudinal population-based surveillance birth cohort from the Autism and Developmental Disabilities Monitoring Network from 2004 to 2020 in 5 US catchment areas.

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Background: Research demonstrates that chronic exposure to fine particulates (PM) increases risks of neurodevelopmental conditions, such as intellectual disability (ID). Few studies have examined neurodevelopmental health impacts of pollution spikes exceeding 24-h (24-h) PM guidelines, despite relevance to the regulatory landscape. The current potential for regulatory changes to 24-h PM standards in the United States makes research on exceedances relevant.

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Background: Rumination-focused cognitive behavioral therapy (RF-CBT) is designed to reduce depressive rumination or the habitual tendency to dwell on experiences in a repetitive, negative, passive, and global manner. RF-CBT uses functional analysis, experiential exercises, and repeated practice to identify and change the ruminative habit. This preregistered randomized clinical trial (NCT03859297, R61) is a preregistered replication of initial work.

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Background: Prenatal exposure to maternal metabolic conditions associated with inflammation and steroid dysregulation has previously been linked to increased autism risk. Steroid-related maternal serum biomarkers have also provided insight into the in utero steroid environment for offspring who develop autism.

Objective: This study examines the link between autism among offspring and early second trimester maternal steroid-related serum biomarkers from pregnancies enriched for prenatal metabolic syndrome (PNMS) exposure.

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Objectives: The study objectives were to examine the contents of individualized education programs (IEPs) of adolescents with autism spectrum disorder (ASD), including postsecondary transition goals, services, and changes in special education classification over time.

Methods: This study involved a longitudinal population-based surveillance cohort from the Autism Developmental Disabilities Monitoring Network from 2002 to 2018 in 3 catchment areas in the United States. The sample included 322 adolescents who were born in 2002, identified with ASD, and had an IEP available for review at ages 15-16 years.

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Problem/condition: Autism spectrum disorder (ASD).

Period Covered: 2020.

Description Of System: The Autism and Developmental Disabilities Monitoring Network is an active surveillance program that estimates prevalence and characteristics of ASD and monitors timing of ASD identification among children aged 4 and 8 years.

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Problem/condition: Autism spectrum disorder (ASD).

Period Covered: 2020.

Description Of System: The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance program that provides estimates of the prevalence of ASD among children aged 8 years.

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Purpose: The objectives of this study were to describe child characteristics associated with later autism spectrum disorder (ASD) identification and the health status and educational transition plans of adolescents with ASD.

Methods: Longitudinal population-based surveillance cohort from the Autism Developmental Disabilities Monitoring Network during 2002-2018 in five catchment areas in the United States. Participants included 3,148 children born in 2002 whose records were first reviewed for ASD surveillance in 2010.

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Purpose: Autism spectrum disorder (ASD) prevalence information is necessary for identifying community needs such as addressing disparities in identification and services.

Methods: Seven Autism and Developmental Disabilities Monitoring (ADDM) Network sites participated in a pilot project to link statewide health and education data to generate statewide and county-level prevalence estimates for a broader age range for their states for the first time.

Results: Statewide prevalence of ASD for ages 3-21 years in 2018 ranged from 1.

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