Factors Associated with Cataract in Korea: A Community Health Survey 2008–2012
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Purpose: To investigate sociodemographic factors, health behaviors, and comorbidities associated with cataracts in a large, nationallyrepresentative Korean sample. Materials and Methods: This cross-sectional study included 715554 adults aged 40 years or older who participated in the 2008–2012 Community Health Survey. Significant risk factors were identified using multivariate logistic regression analysis for self-reportedcataract, and a nomogram for analysis of cataract risk was generated. Results: Roughly 11% of participants (n=88464) reported being diagnosed with cataracts by a doctor. Age was the most important independent risk factor [adjusted odds ratio (aOR)=1.11, 99% confidence interval (CI), 1.11–1.11 for each increasing year]. Significantcomorbidities with descending order of effect size (aOR, 99% CI), included diabetes mellitus (1.78, 1.71–1.85), osteoporosis (1.62, 1.56–1.69), arthritis (1.54, 1.48–1.59), hepatitis B infection (1.46, 1.31–1.63), atopic dermatitis (1.50, 1.33–1.69), angina (1.46, 1.35–1.57), allergic rhinitis (1.45, 1.36–1.55), dyslipidemia (1.38, 1.31–1.45), asthma (1.35, 1.26–1.44), and hypertension (1.23, 1.19–1.28). Subjects who sleep less than 6 hours/day were more likely to have cataract than subjects who sleep more than 9 hours/day as a reference group (aOR=1.22, 99% CI, 1.11–1.34). Conclusion: While the most important cataract risk factor was age, the ten comorbidities mentioned above were also significant risk factors. Interestingly, longer duration of sleep was associated with a protective effect against cataract development.
Abstract
Purpose: To investigate sociodemographic factors, health behaviors, and comorbidities associated with cataracts in a large, nationallyrepresentative Korean sample. Materials and Methods: This cross-sectional study included 715554 adults aged 40 years or older who participated in the 2008–2012 Community Health Survey. Significant risk factors were identified using multivariate logistic regression analysis for self-reportedcataract, and a nomogram for analysis of cataract risk was generated. Results: Roughly 11% of participants (n=88464) reported being diagnosed with cataracts by a doctor. Age was the most important independent risk factor [adjusted odds ratio (aOR)=1.11, 99% confidence interval (CI), 1.11–1.11 for each increasing year]. Significantcomorbidities with descending order of effect size (aOR, 99% CI), included diabetes mellitus (1.78, 1.71–1.85), osteoporosis (1.62, 1.56–1.69), arthritis (1.54, 1.48–1.59), hepatitis B infection (1.46, 1.31–1.63), atopic dermatitis (1.50, 1.33–1.69), angina (1.46, 1.35–1.57), allergic rhinitis (1.45, 1.36–1.55), dyslipidemia (1.38, 1.31–1.45), asthma (1.35, 1.26–1.44), and hypertension (1.23, 1.19–1.28). Subjects who sleep less than 6 hours/day were more likely to have cataract than subjects who sleep more than 9 hours/day as a reference group (aOR=1.22, 99% CI, 1.11–1.34). Conclusion: While the most important cataract risk factor was age, the ten comorbidities mentioned above were also significant risk factors. Interestingly, longer duration of sleep was associated with a protective effect against cataract development.
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