J Korean Ophthalmol Soc.  2017 Apr;58(4):430-436. 10.3341/jkos.2017.58.4.430.

Associations between Intraocular Pressure and Systemic Parameters according to the KNHNES 2008-2011

• Lee JY
• Yim HB
• Kang KY
• Lee NY

• KMID: 2376598
• DOI: http://doi.org/10.3341/jkos.2017.58.4.430

Abstract

PURPOSE
In this study, we evaluated the associations between intraocular pressure (IOP) and systemic and socioeconomic factors.
METHODS
A population-based cross-sectional study using a nation-wide, stratified, multistage, clustered sampling method included 15,421 subjects aged ≥20 years with no history of ocular surgery or glaucoma who participated in the Korean National Health and Nutritional Examination Survey 2008-2011.
RESULTS
Univariate regression analyses showed statistically significant linear relationships between IOP and body mass index (BMI), smoking status, heavy drinking, systolic blood pressure, fasting blood glucose, total cholesterol, triglycerides, insulin, homeostasis model assessment of insulin resistance (HOMA-IR), metabolic syndrome (p < 0.001, respectively), low density lipoprotein cholesterol (p = 0.003), refractive error (p < 0.001), and office work (p = 0.029). In addition, analysis of variance (ANOVA) showed statistically significant differences in IOP and refraction according to occupation (p < 0.001, all).
CONCLUSIONS
We concluded that increased IOP was associated with age, BMI, heavy drinking, systolic blood pressure, total cholesterol, and refraction. There were statistically significant differences in IOP and refraction according to occupation.

Keyword

Blood pressure; Intraocular pressure; Occupation; Office workers; Refractive error

MeSH Terms

Blood Glucose
Blood Pressure
Body Mass Index
Cholesterol
Cholesterol, LDL
Cross-Sectional Studies
Drinking
Fasting
Glaucoma
Homeostasis
Insulin
Insulin Resistance
Intraocular Pressure*
Methods
Occupations
Refractive Errors
Smoke
Smoking
Socioeconomic Factors
Triglycerides
Blood Glucose
Cholesterol
Cholesterol, LDL
Insulin
Smoke
Triglycerides

Figure

• 

  Figure 1. Flow chart of the study population. Subjects with glaucoma or ocular surgery history were excluded. IOP = in-traocular pressure.

• 

  Figure 2. Boxplots of intraocular pressure (mmHg, mean ± SD) according to occupations. Analysis of variance (ANOVA) showed statistically significant difference in intraocular pressure according to occupations. * ANOVA, p-value < 0.001.

• 

  Figure 3. Boxplots of refraction (diopters, mean ± SD) according to occupations. Analysis of variance (ANOVA) showed statistically significant difference in refraction according to occupations. * ANOVA, p-value < 0.001.

Reference

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