Monocular and binocular visual impairment in the UK Biobank study: prevalence, associations and diagnoses
- PMID: 29657974
- PMCID: PMC5895967
- DOI: 10.1136/bmjophth-2017-000076
Monocular and binocular visual impairment in the UK Biobank study: prevalence, associations and diagnoses
Abstract
Objective: To determine the prevalence of, associations with and diagnoses leading to mild visual impairment or worse (logMAR >0.3) in middle-aged adults in the UK Biobank study.
Methods and analysis: Prevalence estimates for monocular and binocular visual impairment were determined for the UK Biobank participants with fundus photographs and spectral domain optical coherence tomography images. Associations with socioeconomic, biometric, lifestyle and medical variables were investigated for cases with visual impairment and matched controls, using multinomial logistic regression models. Self-reported eye history and image grading results were used to identify the primary diagnoses leading to visual impairment for a sample of 25% of cases.
Results: For the 65 033 UK Biobank participants, aged 40-69 years and with fundus images, 6682 (10.3%) and 1677 (2.6%) had mild visual impairment or worse in one or both eyes, respectively. Increasing deprivation, age and ethnicity were independently associated with both monocular and binocular visual impairment. No primary diagnosis for the recorded level of visual impairment could be identified for 49.8% of eyes. The most common identifiable diagnoses leading to visual impairment were cataract, amblyopia, uncorrected refractive error and vitreoretinal interface abnormalities.
Conclusions: The prevalence of visual impairment in the UK Biobank study cohort is lower than for population-based studies from other industrialised countries. Monocular and binocular visual impairment are associated with increasing deprivation, age and ethnicity. The UK Biobank dataset does not allow confident identification of the causes of visual impairment, and the results may not be applicable to the wider UK population.
Keywords: epidemiology; public health; vision.
Conflict of interest statement
Competing interests: None declared.
References
-
- Bourne RR, Jonas JB, Flaxman SR, et al. Prevalence and causes of vision loss in high-income countries and in Eastern and Central Europe: 1990-2010. Br J Ophthalmol 2014;98:629–38. doi:10.1136/bjophthalmol-2013-304033 - DOI - PubMed
-
- Sudlow C, Gallacher J, Allen N, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med 2015;12:e1001779 doi:10.1371/journal.pmed.1001779 - DOI - PMC - PubMed
-
- Cumberland PM, Bao Y, Hysi PG, et al. Frequency and distribution of refractive error in adult life: methodology and findings of the UK biobank study. PLoS One 2015;10:e0139780 doi:10.1371/journal.pone.0139780 - DOI - PMC - PubMed
-
- Shweikh Y, Ko F, Chan MP, et al. Measures of socioeconomic status and self-reported glaucoma in the U.K. Biobank cohort. Eye 2015;29:1360–7. doi:10.1038/eye.2015.157 - DOI - PMC - PubMed
-
- Cumberland PM, Rahi JS. UK Biobank Eye and Vision Consortium. Visual function, social position, and health and life chances: the UK biobank study. JAMA Ophthalmol 2016;134:959–66. doi:10.1001/jamaophthalmol.2016.1778 - DOI - PubMed
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources