Yonsei Med J.  2015 Nov;56(6):1663-1670. 10.3349/ymj.2015.56.6.1663.

Factors Associated with Cataract in Korea: A Community Health Survey 2008-2012

• Rim TH
• Kim DW
• Kim SE
• Kim SS

• KMID: 2345898
• DOI: http://doi.org/10.3349/ymj.2015.56.6.1663

Abstract

PURPOSE
To investigate sociodemographic factors, health behaviors, and comorbidities associated with cataracts in a large, nationally representative 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-reported cataract, 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]. Significant comorbidities 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.

Keyword

Cataract; a community health survey; risk factor; nomogram

MeSH Terms

Adult
Aged
Aged, 80 and over
Asthma/epidemiology
Cataract/*epidemiology
Comorbidity
Cross-Sectional Studies
Dermatitis, Atopic/epidemiology
Diabetes Mellitus/epidemiology
Female
*Health Behavior
Health Surveys
Humans
Hypertension/epidemiology
Logistic Models
Male
Middle Aged
Nomograms
Odds Ratio
Population Surveillance/*methods
Prevalence
Republic of Korea/epidemiology
Residence Characteristics
Risk Factors
Self Report
Sleep
Socioeconomic Factors
Surveys and Questionnaires

Figure

• 

  Fig. 1 (A) A nomogram illustrating the effect of various risk factors on the probability of patient having cataracts. (B) A graph illustrating model calibration.

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