Refractive error and visual impairment in school children in Northern Ireland

Br J Ophthalmol. 2010 Sep;94(9):1155-9. doi: 10.1136/bjo.2009.176040. Epub 2010 May 21.

Abstract

Aims: To describe the prevalence of refractive error (myopia and hyperopia) and visual impairment in a representative sample of white school children.

Methods: The Northern Ireland Childhood Errors of Refraction study, a population-based cross-sectional study, examined 661 white 12-13-year-old and 392 white 6-7-year-old children between 2006 and 2008. Procedures included assessment of monocular logarithm of the minimum angle of resolution (logMAR), visual acuity (unaided and presenting) and binocular open-field cycloplegic (1% cyclopentolate) autorefraction. Myopia was defined as -0.50DS or more myopic spherical equivalent refraction (SER) in either eye, hyperopia as > or =+2.00DS SER in either eye if not previously classified as myopic. Visual impairment was defined as >0.30 logMAR units (equivalent to 6/12).

Results: Levels of myopia were 2.8% (95% CI 1.3% to 4.3%) in younger and 17.7% (95% CI 13.2% to 22.2%) in older children: corresponding levels of hyperopia were 26% (95% CI 20% to 33%) and 14.7% (95% CI 9.9% to 19.4%). The prevalence of presenting visual impairment in the better eye was 3.6% in 12-13-year-old children compared with 1.5% in 6-7-year-old children. Almost one in four children fails to bring their spectacles to school.

Conclusions: This study is the first to provide robust population-based data on the prevalence of refractive error and visual impairment in Northern Irish school children. Strategies to improve compliance with spectacle wear are required.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Child
  • Eyeglasses / statistics & numerical data
  • Female
  • Humans
  • Hyperopia / epidemiology*
  • Hyperopia / physiopathology
  • Male
  • Myopia / epidemiology*
  • Myopia / physiopathology
  • Northern Ireland / epidemiology
  • Patient Compliance / statistics & numerical data
  • Prevalence
  • Socioeconomic Factors
  • Vision Disorders / epidemiology*
  • Vision Disorders / physiopathology
  • Visual Acuity
  • White People