Sociodemographic, lifestyle, and medical risk factors for visual impairment in an urban asian population: the singapore malay eye study

Arch Ophthalmol. 2009 Dec;127(12):1640-7. doi: 10.1001/archophthalmol.2009.298.

Abstract

Objective: To describe the associations between sociodemographic, lifestyle, and medical risk factors and visual impairment in a Southeast Asian population.

Methods: Population-based cross-sectional study of 3280 (78.7% response rate) Malay Singaporeans aged 40 to 80 years. Participants underwent a standardized interview, in which detailed sociodemographic histories were obtained, and clinical assessments for presenting and best-corrected visual acuity. Visual impairment (logMAR > 0.30) was classified as unilateral (1 eye impaired) or bilateral (both eyes impaired). Analyses used multivariate-adjusted multinomial logistic regression.

Results: Older age and lack of formal education was associated with increased odds of both unilateral and bilateral visual impairment based on presenting and best-corrected visual acuity. The odds doubled for each decade older, and lower education increased the odds 1.59- to 2.83-fold. Bilateral visual impairment was associated with being unemployed (odds ratio [OR], 1.84; 95% confidence interval [CI], 1.30-2.60), widowed status (OR, 1.51; 95% CI, 1.13-2.01), and higher systolic blood pressure (OR, 1.96; 95% CI, 1.44-2.66). Diabetes was associated with unilateral (OR, 1.47; 95% CI, 1.10-1.95) and bilateral (OR, 1.69; 95% CI, 1.23-2.32) visual impairment using best-corrected visual acuity.

Conclusions: Older age, lower education, unemployment, being widowed, diabetes, and hypertension were independently associated with bilateral visual impairment. Public health interventions should be targeted to these at-risk populations.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Asian People / ethnology
  • Blindness / epidemiology*
  • Cross-Sectional Studies
  • Diabetes Mellitus / epidemiology*
  • Educational Status
  • Female
  • Humans
  • Hypertension / epidemiology*
  • Life Style
  • Male
  • Middle Aged
  • Risk Factors
  • Singapore / epidemiology
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Urban Population / statistics & numerical data*
  • Vision, Low / epidemiology*
  • Visual Acuity
  • Visually Impaired Persons / statistics & numerical data*