National Health and Nutrition Examination Survey 2017-March 2020 Prepandemic Data Files-Development of Files and

PubMed

Insights

The National Health and Nutrition Examination Survey (NHANES) created prepandemic data files by combining 2017-2018 and partial 2019-2020 data. These files provide nationally representative health estimates from before the COVID-19 pandemic.

Area of Science:

  • Public Health
  • Epidemiology
  • Biostatistics

Background:

  • The COVID-19 pandemic disrupted National Health and Nutrition Examination Survey (NHANES) operations in March 2020.
  • Data from the partial 2019-2020 NHANES cycle were not nationally representative due to early termination.
  • Combining 2017-2018 and partial 2019-2020 data created nationally representative prepandemic health estimates.

Purpose of the Study:

  • To describe the methodology for creating the 2017-March 2020 prepandemic NHANES data files.
  • To provide recommendations and outline limitations for using these prepandemic data.
  • To present prevalence estimates for key health outcomes using the combined dataset.

Main Methods:

  • Primary sampling units (PSUs) from 2019-2020 were aligned with the 2015-2018 sample design strata.
  • A PSU-level adjustment factor was applied to equalize stratum contributions to the total sample.
  • Participant base weights were adjusted, and final interview and examination weights were calculated.

Main Results:

  • Prevalence of obesity among children/adolescents (2-19 years) was 19.7%.
  • Prevalence of obesity in adults (20+ years) was 41.9%, with 9.2% having severe obesity.
  • Age-adjusted prevalence of diabetes was 14.8%, hypertension was 45.1%, and complete tooth loss in older adults (65+ years) was 13.8%.

Conclusions:

  • Weighting adjustments, including a PSU-level factor, enabled the creation of nationally representative 2017-March 2020 NHANES data.
  • This dataset represents the final NHANES data collected prior to widespread COVID-19 transmission.
  • The prepandemic data are crucial for understanding health trends before the pandemic's full impact.
Abstract

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