Trends and Persistent Disparities in Child Obesity During the COVID-19 Pandemic.

COVID-19 disparities obesity primary care

Journal

Childhood obesity (Print)
ISSN: 2153-2176
Titre abrégé: Child Obes
Pays: United States
ID NLM: 101542497

Informations de publication

Date de publication:
24 May 2023
Historique:
medline: 24 5 2023
pubmed: 24 5 2023
entrez: 24 5 2023
Statut: aheadofprint

Résumé

The COVID-19 pandemic has been associated with increases in pediatric obesity and widening pre-existing disparities. To better understand the pandemic's long-term impacts, we evaluated trends in obesity across different demographic groups during the pandemic through December 2022. Using a retrospective cohort design, we analyzed electronic health record data from a large pediatric primary care network. Logistic regression models fit using generalized estimating equations estimated odds ratios (ORs) for changes in the level and trajectory of obesity across 2-year month-matched periods: prepandemic (June 2017 to December 2019) and pandemic (June 2020 to December 2022). Among a cohort of 153,667 patients with visits in each period, there was a significant increase in the level of obesity at the pandemic onset [OR: 1.229, 95% confidence interval (CI): 1.211-1.247] followed by a significant decrease in the trend for obesity (OR: 0.993, 95% CI: 0.992-0.993). By December 2022, obesity had returned to prepandemic levels. However, persistent sociodemographic disparities remain.

Identifiants

pubmed: 37222743
doi: 10.1089/chi.2022.0205
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Brian P Jenssen (BP)

Clinical Futures, The Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Department of Pediatrics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.

Mary Kate Kelly (MK)

Clinical Futures, The Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, PA, USA.

Di Shu (D)

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.

George Dalembert (G)

Clinical Futures, The Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Department of Pediatrics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.

Katie E McPeak (KE)

Clinical Futures, The Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Department of Pediatrics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.

Maura Powell (M)

Clinical Futures, The Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, PA, USA.

Stephanie L Mayne (SL)

Clinical Futures, The Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Department of Pediatrics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.

Alexander G Fiks (AG)

Clinical Futures, The Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Department of Pediatrics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.

Classifications MeSH