Cited by 266Viral-associated cancers and disordersCytomegalovirus and herpesvirus researchHerpesvirus Infections and Treatments

Age-Specific Prevalence of Epstein–Barr Virus Infection Among Individuals Aged 6–19 Years in the United States and Factors Affecting Its Acquisition

Balfour, Henry H., Sifakis, Frangiscos, Sliman, Joseph A., Knight, Jennifer A., Schmeling, David O., Thomas, William·2013·The Journal of Infectious Diseases

Abstract

BACKGROUND: Data on the age-specific prevalence of Epstein-Barr virus (EBV) infection are relevant for determining when to administer a prophylactic vaccine. Comparison of demographic groups could identify factors associated with its acquisition. METHODS: The National Health and Nutrition Examination Surveys (NHANES) examine a representative sample of the US population. Serum specimens from NHANES participants 6-19 years old were tested for EBV antibody by enzyme immunoassay (EIA). A random portion was also tested by indirect immunofluorescence (IFA). Prevalence estimates and risk-factor comparisons used demographic data and sampling weights in logistic regression models. RESULTS: Serum specimens collected between 2003 and 2010 from 9338 individuals participating in NHANES were tested. The concordance between EIA and IFA findings was 96.7%. The overall age-adjusted EBV antibody prevalence declined from 72% in 2003-2004 to 65% in 2009-2010 (P = .027). The prevalence in 2009-2010 by age group was as follows: 6-8 years, 50%; 9-11 years, 55%; 12-14 years, 59%; 15-17 years, 69%; and 18-19 years, 89%. Within each race/ethnicity group, younger age, health insurance coverage, higher household income, and education level were significantly associated with a lower prevalence of EBV antibody. CONCLUSIONS: The EBV antibody prevalence declined in US individuals aged 6-19 years from 2003-2004 to 2009-2010, mainly because of the decrease among non-Hispanic white participants. The declining antibody prevalence over time and the consistently high observed prevalence among participants aged 12-19 years support broad use of EBV vaccine before 12 years of age.

Integrity signals

Registry

Crossref · 10.1093/infdis/jit321

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Balfour, H. H., Sifakis, F., Sliman, J. A., Knight, J. A., Schmeling, D. O., & Thomas, W.
Affiliations
University of Minnesota (US)
Corresponding author
Balfour, Henry H.
Venue
The Journal of Infectious Diseases
Published
2013-07-18
Volume
208
Issue
8
Pages
1286-1293
ISSN
  • 0022-1899 (ISSN-L)
  • 1537-6613
OpenAlex
W2126139178
Cited by
266
References
1
Citations by year
2026: 14 · 2025: 28 · 2024: 19 · 2023: 22 · 2022: 31 · 2021: 25 · 2020: 21 · 2019: 18 · 2018: 17 · 2017: 23 · 2016: 17 · 2015: 18 · 2014: 12 · 2012: 1
FWCI
8.35
Type
journal article
Language
en
Open access
closed
Locations
  • The Journal of Infectious Diseases (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Oncology › Viral-associated cancers and disorders
  • Health Sciences › Medicine › Epidemiology › Cytomegalovirus and herpesvirus research
  • Health Sciences › Medicine › Epidemiology › Herpesvirus Infections and Treatments
Keywords
Epstein-Barr virus, age-specific prevalence, children and adolescents, EBV vaccine, risk factors, health insurance coverage, household income, educational attainment, race and ethnicity, declining prevalence, seroprevalence trends
MeSH terms
Adolescent, Age Factors, Antibodies, Viral, Child, Herpesvirus 4, Human, Female, Humans, Immunoenzyme Techniques, Male, United States, Prevalence, Seroepidemiologic Studies, Epstein-Barr Virus Infections, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review