Physical, Mental Health and Developmental Conditions, and Sociodemographic Characteristics Associated With Adverse Childhood Experiences Among Young Children in Pediatric Primary Care
| Autor: | Melanie Jackson-Morris, Padmaja Padalkar, Rahel Negusse, Felicia W. Chi, Judy Lin, Uma Vinayagasundaram, Arnd Herz, Stacy Sterling, Paul Espinas, Kelly C. Young-Wolff, Verena E. Metz, Esti Iturralde |
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| Rok vydání: | 2021 |
| Předmět: |
Gerontology
Adjustment disorders Population Ethnic group Psychological intervention Pediatrics Odds Adverse Childhood Experiences medicine Prevalence Humans education Child Aged education.field_of_study Primary Health Care business.industry Infant medicine.disease Mental health Mental Health Child Preschool Pediatrics Perinatology and Child Health Observational study business Medicaid |
| Zdroj: | Journal of pediatric health care : official publication of National Association of Pediatric Nurse AssociatesPractitioners. 35(5) |
| ISSN: | 1532-656X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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