Robustness of NHANES Estimates of the US Prevalence of a Positive Tuberculin Skin Test
| Autor: | Kenneth G. Castro, Thomas R. Navin, Andrew N. Hill, Timothy L. Lash, Neel R. Gandhi, Carla A. Winston, Maryam B. Haddad |
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| Rok vydání: | 2020 |
| Předmět: |
National Health and Nutrition Examination Survey
Epidemiology Population Tuberculin 01 natural sciences Article 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Prevalence Humans Tuberculosis Medicine 030212 general & internal medicine 0101 mathematics education Skin test results education.field_of_study Tuberculin Test business.industry Reproducibility of Results POSITIVE TUBERCULIN Skin test Nutrition Surveys Civilian population United States business Demography |
| Zdroj: | Epidemiology |
| ISSN: | 1044-3983 |
| Popis: | BACKGROUND: A single 2-year National Health and Nutrition Examination Survey (NHANES) cycle is designed to provide accurate and stable estimates of conditions with prevalence of at least 10%. Recent NHANES-based estimates of a tuberculin skin test ≥10 mm in the noninstitutionalized U.S. civilian population are at most 6.3%. METHODS: NHANES included a tuberculin skin test in 1971–1972, 1999–2000, and 2011–2012. We examined the robustness of NHANES-based estimates of the U.S. population prevalence of a skin test ≥10 mm with a bias analysis that considered the influence of non-U.S. birth distributions and within-household skin test results, reclassified borderline-positive results, and adjusted for tuberculin skin test item nonresponse. RESULTS: The weighted non-U.S. birth distribution among NHANES participants was similar to that in the overall U.S. population; further adjustment was unnecessary. We found no evidence of bias due to sampling multiple participants per household. Prevalence estimates changed 0.3% with reclassification of borderline-positive tuberculin skin test results and 0.2%–0.3% with adjustment for item nonresponse. CONCLUSIONS: For estimating the national prevalence of a tuberculin skin test ≥10 mm during these three survey cycles, a conventional NHANES analysis using the standard participant weights and masked design parameters that are provided in the public-use datasets appears robust. |
| Databáze: | OpenAIRE |
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