Comparing the prevalence of chronic pain in school-aged children in the United States from 2019 to 2020: a nationally representative study examining differences associated with the COVID-19 pandemic.
Flavia P KaposDaron M VandeleurSee Wan ThamTonya M PalermoCornelius B GroenewaldPublished in: Pain (2023)
The coronavirus disease 19 (COVID-19) pandemic negatively affected children's health in the United States (US), with more severe disruption for marginalized groups. However, potential impact on pediatric chronic pain has not been assessed at the population level. This study aimed to (1) estimate differences in the US national prevalence of pediatric chronic pain during the first year of the COVID-19 pandemic (2020), relative to one year earlier (2019); (2) determine whether differences in prevalence varied across sociodemographic groups; and (3) explore changes in child, caregiver, and family factors associated with chronic pain prevalence. Using data of children 6 to 17 years from the National Survey of Children's Health 2019 and 2020 (n = 50,518), we compared weighted percentages of sample characteristics by year and conducted a series of directed-acyclic graph-informed survey-weighted Poisson regressions. The estimated national prevalence (95% CI) of pediatric chronic pain was 10.8% (9.9, 11.9%) in 2019, decreasing to 7.6% (6.9, 8.3%) in 2020. Contrary to hypotheses, the adjusted prevalence of chronic pain was 31% lower in 2020 than in 2019 (aPR = 0.69, 95% CI: 0.61, 0.79), adjusting for child age, sex, race or ethnicity, caregiver education, neighborhood park or playground, and census region. The 2019 to 2020 change in chronic pain prevalence was similar by age (P = 0.34), sex (P = 0.94), race or ethnicity (P = 0.41), caregiver education (P = 0.49), neighborhood park or playground (P = 0.22), and census region (P = 0.20). Exploratory analyses identified 3 potential contributors to the unexpected decrease in the national prevalence of pediatric chronic pain: lower prevalence of bullying, more frequent family meals, and higher family resilience.
Keyphrases
- chronic pain
- risk factors
- pain management
- healthcare
- mental health
- coronavirus disease
- public health
- physical activity
- quality improvement
- magnetic resonance
- magnetic resonance imaging
- sars cov
- cross sectional
- machine learning
- early onset
- social media
- convolutional neural network
- network analysis
- respiratory syndrome coronavirus
- drug induced
- neural network