Publications by authors named "S Pettygrove"

Article Synopsis
  • Maternal morbidity and mortality (MMM) is a significant public health issue in the USA, particularly affecting Native American women who face higher rates than non-Hispanic White women.
  • A systematic review of literature on risk factors for MMM among Native American women identified 26 risk factors, including race, rural residency, obesity, maternal age, and nulliparity, from 15 studies published since 2012.
  • The findings highlight a lack of comprehensive research on this population, making it difficult to fully understand these risk factors or create targeted interventions to improve maternal health outcomes.
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Due to COVID-19, schools were closed to mitigate disease spread. Past studies have shown that disruptions in education have unintended consequences for adolescents, including increasing their risk of school dropout, exploitation, gender-based violence, pregnancy and early unions. In Peru, the government closed schools from March 2020 to March 2022, declaring a national emergency that affected an estimated 8 million children.

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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: 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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