| Title: | Frequency and distribution of corneal astigmatism and keratometry features in adult life: Methodology and findings of the UK Biobank study |
| Journal: | PLOS ONE |
| Published: | 19 Sep 2019 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/31536508/ |
| DOI: | https://doi.org/10.1371/journal.pone.0218144 |
| URL: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0218144&type=printable |
Publication 4865
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Abstract
PURPOSE: To describe corneal astigmatism in the UK Biobank population and to look for associations with other biometric variables and socio-demographic factors.METHODS: This analysis included a subsample of 107,452 participants of the UK Biobank study who underwent an enhanced ophthalmic examination including autorefractor keratometry (Tomey RC 5000, Tomey Corp., Nagoya, Japan). Participants were recruited from across the United Kingdom between 2006 and 2010, and all were between 40 to 69 years. After quality control and applying relevant exclusions, data on corneal astigmatism on 83,751 participants were included for analysis. Potential associations were tested through univariable regression and significant parameters carried forward for multivariable analysis.
RESULTS: In univariable analysis, the characteristics significantly associated with higher corneal astigmatism (P<0.001), by order of magnitude were, female gender, white ethnicity, lighter skin colour, use of UV protection, lower alcohol intake, lower corneal-compensated intraocular pressure (ccIOP), older age at completion of education, younger age, higher Townsend deprivation index, lower height and lower systolic blood pressure. After inclusion in the multivariable analysis, gender, skin colour, alcohol intake, age at completion of full-time education, ccIOP, age and Townsend deprivation score remained significant (all P<0.001). Increased corneal astigmatism was also found to be significantly associated with amblyopia or strabismus.
CONCLUSIONS: This analysis confirms previous associations with astigmatism such as younger age and female gender, and identified novel risk factors including lighter skin colour, lower alcohol intake, later age having completed full time education later, lower ccIOP and higher Townsend deprivation index. Further research is needed to investigate these novel associations.
5 Authors
- Nikolas Pontikos
- Sharon Chua
- Paul J. Foster
- Stephen J. Tuft
- Alexander C. Day
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