Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners · 2021
Physical, Mental Health and Developmental Conditions, and Sociodemographic Characteristics Associated With Adverse Childhood Experiences Among Young Children in Pediatric Primary Care.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод в очереди
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Sterling Stacy, Chi Felicia, Lin Judy, Padalkar Padmaja, Vinayagasundaram Uma, Iturralde Esti, Young-Wolff Kelly, Metz Verena E, Herz Arnd, Negusse Rahel, Jackson-Morris Melanie, Espinas Paul
Аннотация
INTRODUCTION: To examine associations between patient characteristics and adverse childhood experiences (ACEs) in a population-based sample of pediatric primary care patients, using electronic health records and clinical, administrative data.
METHOD: An observational study was conducted in an integrated health care delivery system. Children ages 1-5 years (N = 13,370) were screened for ACEs at routine well-child visits between September 1, 2018 and May 31, 2019 in three pediatrics clinics. Multivariate models examined associations between patient characteristics (age, gender, race/ethnicity, insurance type, neighborhood income and education level, physical, mental health and developmental diagnoses, weight status) and any ACEs, and ≥ 3 ACEs exposure.
RESULTS: Prevalence and severity of ACE exposure varied by race/ethnicity. Older age, Medicaid insurance, epilepsy/seizure disorder, sleeping disorders, adjustment disorders, and feeding disorders were associated with higher odds of ACEs exposure, higher-income with lower odds.
DISCUSSION: Understanding relationships between ACEs and patient features can provide information to clinicians for early detection and appropriate interventions.
METHOD: An observational study was conducted in an integrated health care delivery system. Children ages 1-5 years (N = 13,370) were screened for ACEs at routine well-child visits between September 1, 2018 and May 31, 2019 in three pediatrics clinics. Multivariate models examined associations between patient characteristics (age, gender, race/ethnicity, insurance type, neighborhood income and education level, physical, mental health and developmental diagnoses, weight status) and any ACEs, and ≥ 3 ACEs exposure.
RESULTS: Prevalence and severity of ACE exposure varied by race/ethnicity. Older age, Medicaid insurance, epilepsy/seizure disorder, sleeping disorders, adjustment disorders, and feeding disorders were associated with higher odds of ACEs exposure, higher-income with lower odds.
DISCUSSION: Understanding relationships between ACEs and patient features can provide information to clinicians for early detection and appropriate interventions.