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Metabolic syndrome and risk of age-related cataract over time: an analysis of interval-censored data using a random-effects model.

Abstract

PURPOSE

To investigate whether the effect of metabolic syndrome (MetS) and its components on the incidence of different cataract subtypes (cortical, nuclear, and posterior subcapsular cataract [PSC]) change with time.

METHODS

A prospective cohort of persons 49 years of age and older were followed over 10 years in the Blue Mountains Eye Study, west of Sydney, Australia. MetS components as defined by the International Diabetes Federation criteria were measured at baseline (1992-1994), after 5 years (1997-1999), and after 10 years (2002-2004). The incidence of different cataract subtypes was obtained from standard photographic grading at these intervals (n = 1997). Using a random-effects complementary log-log regression model with time to cataract development in discrete time interval, we estimated the effect of MetS and its components on the incidence of different cataract subtypes at different time intervals.

RESULTS

After accounting for changes in MetS components over time and controlling for possible confounders, MetS was found to be associated with an increased 5-year incidence of cortical cataract (hazard ratio [HR] 1.48; 95% confidence interval [CI], 1.05-2.09) and PSC cataract (HR 1.75; 95% CI, 1.01-3.04). Among the five MetS components, high glucose and obesity predicted an increased 5-year incidence of cortical cataract. In addition, low high-density lipoprotein and high glucose were associated with an increased 10-year incidence of cortical and PSC cataracts, respectively.

CONCLUSIONS

Changes in MetS predicted the 5-year incidence of cortical and PSC cataracts. Different MetS components predicted the incidence of cortical and PSC cataracts at varying time intervals.

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  • Authors+Show Affiliations

    ,

    Saw Swee Hock School of Public Health, National University of Singapore, Singapore.

    , , , , ,

    Source

    MeSH

    Aging
    Blood Glucose
    Blood Pressure
    Body Mass Index
    Cataract
    Cholesterol, HDL
    Diabetes Mellitus, Type 2
    Female
    Follow-Up Studies
    Humans
    Incidence
    Logistic Models
    Male
    Metabolic Syndrome
    Middle Aged
    New South Wales
    Obesity
    Prospective Studies
    Risk Factors
    Time Factors
    Triglycerides

    Pub Type(s)

    Journal Article
    Research Support, Non-U.S. Gov't

    Language

    eng

    PubMed ID

    23258144

    Citation

    Ghaem Maralani, Haleh, et al. "Metabolic Syndrome and Risk of Age-related Cataract Over Time: an Analysis of Interval-censored Data Using a Random-effects Model." Investigative Ophthalmology & Visual Science, vol. 54, no. 1, 2013, pp. 641-6.
    Ghaem Maralani H, Tai BC, Wong TY, et al. Metabolic syndrome and risk of age-related cataract over time: an analysis of interval-censored data using a random-effects model. Invest Ophthalmol Vis Sci. 2013;54(1):641-6.
    Ghaem Maralani, H., Tai, B. C., Wong, T. Y., Tai, E. S., Li, J., Wang, J. J., & Mitchell, P. (2013). Metabolic syndrome and risk of age-related cataract over time: an analysis of interval-censored data using a random-effects model. Investigative Ophthalmology & Visual Science, 54(1), pp. 641-6. doi:10.1167/iovs.12-10980.
    Ghaem Maralani H, et al. Metabolic Syndrome and Risk of Age-related Cataract Over Time: an Analysis of Interval-censored Data Using a Random-effects Model. Invest Ophthalmol Vis Sci. 2013 Jan 21;54(1):641-6. PubMed PMID: 23258144.
    * Article titles in AMA citation format should be in sentence-case
    TY - JOUR T1 - Metabolic syndrome and risk of age-related cataract over time: an analysis of interval-censored data using a random-effects model. AU - Ghaem Maralani,Haleh, AU - Tai,Bee Choo, AU - Wong,Tien Y, AU - Tai,E Shyong, AU - Li,Jialiang, AU - Wang,Jie Jin, AU - Mitchell,Paul, Y1 - 2013/01/21/ PY - 2012/12/22/entrez PY - 2012/12/22/pubmed PY - 2013/3/26/medline SP - 641 EP - 6 JF - Investigative ophthalmology & visual science JO - Invest. Ophthalmol. Vis. Sci. VL - 54 IS - 1 N2 - PURPOSE: To investigate whether the effect of metabolic syndrome (MetS) and its components on the incidence of different cataract subtypes (cortical, nuclear, and posterior subcapsular cataract [PSC]) change with time. METHODS: A prospective cohort of persons 49 years of age and older were followed over 10 years in the Blue Mountains Eye Study, west of Sydney, Australia. MetS components as defined by the International Diabetes Federation criteria were measured at baseline (1992-1994), after 5 years (1997-1999), and after 10 years (2002-2004). The incidence of different cataract subtypes was obtained from standard photographic grading at these intervals (n = 1997). Using a random-effects complementary log-log regression model with time to cataract development in discrete time interval, we estimated the effect of MetS and its components on the incidence of different cataract subtypes at different time intervals. RESULTS: After accounting for changes in MetS components over time and controlling for possible confounders, MetS was found to be associated with an increased 5-year incidence of cortical cataract (hazard ratio [HR] 1.48; 95% confidence interval [CI], 1.05-2.09) and PSC cataract (HR 1.75; 95% CI, 1.01-3.04). Among the five MetS components, high glucose and obesity predicted an increased 5-year incidence of cortical cataract. In addition, low high-density lipoprotein and high glucose were associated with an increased 10-year incidence of cortical and PSC cataracts, respectively. CONCLUSIONS: Changes in MetS predicted the 5-year incidence of cortical and PSC cataracts. Different MetS components predicted the incidence of cortical and PSC cataracts at varying time intervals. SN - 1552-5783 UR - https://www.unboundmedicine.com/medline/citation/23258144/full_citation L2 - http://iovs.arvojournals.org/article.aspx?doi=10.1167/iovs.12-10980 DB - PRIME DP - Unbound Medicine ER -