Crowding as a risk factor of meningococcal disease in Danish preschool children: a nationwide population-based case-control study

Susanna Deutch, Rodrigo Labouriau, Henrik Carl Schønheyder, Lars Jørgen Østergaard, Bente Nørgård, Henrik Toft Sørensen

Research output: Contribution to journalJournal articleResearchpeer-review

14 Citations (Scopus)

Abstract

Meningococcal disease (MD) remains an important health problem. Crowding has been suggested to be a risk factor for MD in children, but the evidence is relatively sparse. We performed a nationwide nested case-control study comprising 1222 children with MD and 24,549 population controls. We identified MD cases younger than 6 y in the Danish National Hospital Discharge Registry from 1980 to 1999, and obtained information on household density as a measure of crowding, per capita income and other potential confounders through The Danish Civil Registration System and social registries. The risk of MD associated with household density was estimated by conditional logistic regression for children less than 1 y of age (infants) and children aged 1 to 5 y, respectively. The risk of MD increased with increasing household density. In both age groups, the crude OR was 1.8 (95% confidence interval [CI]: 1.4-2.3) at a density of less than 20 m2 per person compared with the reference of more than 50 m2 per person. The adjusted OR for MD was 1.5 (95% CI: 1.1-1.9) for infants, and 1.5 (95% CI: 1.1-2.0) for children older than 1 y. Household density appears to be a risk factor of MD in preschool children.
Original languageEnglish
JournalScandinavian Journal of Infectious Diseases
Volume36
Pages (from-to)20-23
Number of pages3
ISSN0036-5548
Publication statusPublished - 2004
Externally publishedYes

Keywords

  • Age Distribution
  • Case-Control Studies
  • Child, Preschool
  • Confidence Intervals
  • Crowding
  • Denmark
  • Female
  • Humans
  • Incidence
  • Infant
  • Logistic Models
  • Male
  • Meningitis, Meningococcal
  • Meningococcal Infections
  • Population Surveillance
  • Probability
  • Registries
  • Risk Factors
  • Severity of Illness Index
  • Sex Distribution

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