학술논문

Opportunities for understanding the COVID-19 pandemic and child health in the United States: the Environmental influences on Child Health Outcomes (ECHO) program
Document Type
article
Source
Subject
Paediatrics
Biomedical and Clinical Sciences
Behavioral and Social Science
Childhood Obesity
Social Determinants of Health
Prevention
Nutrition
Clinical Research
Coronaviruses Disparities and At-Risk Populations
Obesity
Women's Health
Pediatric
Minority Health
Infectious Diseases
Health Disparities
Coronaviruses
American Indian or Alaska Native
Emerging Infectious Diseases
2.4 Surveillance and distribution
Good Health and Well Being
life course approach
environmental exposures
health disparities
parent-child dyads
pediatric health
health behaviors
Paediatrics and Reproductive Medicine
Other Medical and Health Sciences
Language
Abstract
ObjectiveOngoing pediatric cohort studies offer opportunities to investigate the impact of the COVID-19 pandemic on children's health. With well-characterized data from tens of thousands of US children, the Environmental influences on Child Health Outcomes (ECHO) Program offers such an opportunity.MethodsECHO enrolled children and their caregivers from community- and clinic-based pediatric cohort studies. Extant data from each of the cohorts were pooled and harmonized. In 2019, cohorts began collecting data under a common protocol, and data collection is ongoing with a focus on early life environmental exposures and five child health domains: birth outcomes, neurodevelopment, obesity, respiratory, and positive health. In April of 2020, ECHO began collecting a questionnaire designed to assess COVID-19 infection and the pandemic's impact on families. We describe and summarize the characteristics of children who participated in the ECHO Program during the COVID-19 pandemic and novel opportunities for scientific advancement.ResultsThis sample (n = 13,725) was diverse by child age (31% early childhood, 41% middle childhood, and 16% adolescence up to age 21), sex (49% female), race (64% White, 15% Black, 3% Asian, 2% American Indian or Alaska Native,