Skip to main content
×
Home
    • Aa
    • Aa

Parental risk perception and influenza vaccination of children in daycare centres

  • T. N. OFFUTT-POWELL (a1), R. P. OJHA (a2), R. QUALLS-HAMPTON (a3), S. STONECIPHER (a4), K. P. SINGH (a5) and K. M. CARDARELLI (a3) (a6)...
Abstract
SUMMARY

Little information is available about perceptions of influenza vaccination of parents with healthy children in daycare. Therefore, we systematically explored the relationship between parental risk perception and influenza vaccination in children attending daycare. We distributed a self-administered paper survey to parents of children aged 6–59 months attending licensed daycare centres in Tarrant County, Texas. We used conditional logistic regression with penalized conditional likelihood to estimate odds ratios (ORs) and 95% profile likelihood confidence limits (PL) for parental risk-perception factors and influenza vaccination. A high level of parental prevention behaviours (OR 9·1, 95% PL 3·2, 31) and physician recommendation (OR 8·2, 95% PL 2·7, 30) had the highest magnitudes of association with influenza vaccination of healthy children in daycare. Our results provide evidence about critical determinants of influenza vaccination of healthy children in daycare, which could help inform public health interventions aimed at increasing influenza vaccination coverage in this population.

Copyright
Corresponding author
*Author for correspondence: T. N. Offutt-Powell, DrPH, MPH, University of North Carolina at Chapel Hill, Gillings School of Global Public Health, Department of Epidemiology, 135 Dauer Drive, Chapel Hill, NC 27599, USA. (Email: topowell@email.unc.edu)
Linked references
Hide All

This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

27. JPearl . Causality: Models, Reasoning, and Inference, 2nd edn. New York: Cambridge University Press, 2009, 464 pp.

29. TLLash , MPFox , AKFink . Applying Quantitative Bias Analysis to Epidemiologic Data. New York, NY: Springer Science & Business Media, LLC, 2009.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Epidemiology & Infection
  • ISSN: 0950-2688
  • EISSN: 1469-4409
  • URL: /core/journals/epidemiology-and-infection
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords:

Type Description Title
WORD
Supplementary Materials

Supplementary Material
Supplementary information supplied by authors.

 Word (322 KB)
322 KB

Metrics

Altmetric attention score