May 2005
Volume 46, Issue 13
ARVO Annual Meeting Abstract  |   May 2005
Risk Factors for Cataract Subtypes Waterclefts and Retrodots: Two Case Control Studies
Author Affiliations & Notes
  • J.M. Sparrow
    Ophthalmology, Bristol Eye Hospital, Bristol, United Kingdom
  • J.S. Durant
    Ophthalmology, Bristol Eye Hospital, Bristol, United Kingdom
  • N.A. Frost
    Ophthalmology, Bristol Eye Hospital, Bristol, United Kingdom
  • M. Trivella
    Social Medicine, University of Bristol, Bristol, United Kingdom
  • Footnotes
    Commercial Relationships  J.M. Sparrow, None; J.S. Durant, None; N.A. Frost, None; M. Trivella, None.
  • Footnotes
    Support  NHS R&D
Investigative Ophthalmology & Visual Science May 2005, Vol.46, 3841. doi:
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      J.M. Sparrow, J.S. Durant, N.A. Frost, M. Trivella; Risk Factors for Cataract Subtypes Waterclefts and Retrodots: Two Case Control Studies . Invest. Ophthalmol. Vis. Sci. 2005;46(13):3841.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract: : A literature review revealed no data on possible risk factors for waterclefts or retrodots, each of which are known to be independently associated with visual impairment. Purpose: To investigate risk factors for human lens cataract subtypes waterclefts and retrodots. Methods: Two nested case control studies, the host study comprised 1,078 subjects (> 55 years) attending the Somerset and Avon Eye Study (SAES). 197 watercleft cases (> Oxford Grade 0.2 in either eye) and 199 retrodot cases (> Oxford Grade 1.0 in either eye) were individually age/gender matched to controls. Detailed ophthalmic, and potential risk factor data covered: BMI, smoking, alcohol, diabetes, hypertension, analgesics, vitamin supplementation, nutrition, sunlight exposure, dehydration, hormonal (women), blood lipids, glucose, urea, creatinine, uric acid, vitamin levels. Results: For waterclefts univariable analysis identified BMI, alcohol intake, vitamin status, sunlight exposure, urea, creatinine and uric acid as possible risk factors. After multivariable adjustment two remained, total number of ‘any’ analgesics in the previous year: adjusted P<0.01 (U–shaped risk profile, unadjusted high vs. medium use (as ref) OR 2.39, 95% CI 1.35–4.26 with medium use vs. none (as ref) OR 0.43, 95% CI 0.26–0.72); and total sunlight exposure: adjusted P=0.03 (unadjusted highest exposure vs. lowest (as ref) OR 3.25, 95% CI 1.11–9.50). For retrodots univariable analysis identified alcohol, HRT and lipids. After multivariable analysis two remained, mean number of alcohol units consumed per month, adjusted P=0.02 and HDL cholesterol levels, adjusted P=0.02 (unadjusted OR’s NS both). Conclusions: This is the first available information on risk factors for the cataractous human lens opacities waterclefts and retrodots.

Keywords: clinical (human) or epidemiologic studies: risk factor assessment • cataract 

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