title: The distribution of intraocular pressure and its association with metabolic syndrome in a community.
abstract: OBJECTIVE
  The current study was performed to assess the distribution of intraocular pressure (IOP) and its association with metabolic syndrome (MS) in a community.
  
  
  METHODS
  We measured IOP and MS components from 446 adults, age 20 or more years old, who reside in a community in Kyunggi Province, South Korea. We compared the level of IOP according to the number of metabolic abnormalities and between normal and abnormal metabolic components. Linear regression analyses were used to determine the relationship between IOP and metabolic components.
  
  
  RESULTS
  No significant difference in IOP (mean +/- SE) was found between men (12.24 +/- 2.42) and women (12.55 +/- 2.41 mmHg, p > 0.1), while IOP of men tended to decrease as age increased (p for trend < 0.01). After adjusting for age, IOP of subjects with abdominal obesity in men and high blood pressure in women were significantly higher than those without abdominal obesity or high blood pressure (p < 0.05). Female subjects with MS showed significantly higher IOP than those without MS. Participants with more metabolic disturbances tended to have a greater IOP elevation with a linear trend after adjusting for age and sex. In the univariate regression analysis, age and waist circumference were significantly associated with IOP in men, but systolic and diastolic blood pressure were associated with IOP in women. In final multiple regression model, age, systolic blood pressure, and triglyceride were associated with IOP in women, and age in men.
  
  
  CONCLUSIONS
  These findings suggest that MS and its components may be important determinants of elevated IOP.
authors.affiliation: Graduate School of Public Health, Seoul National University, Korea.
authors.forename: Sang-shin
authors.initials: SS
authors.lastname: Park
authors.forename: Eun-Hee
authors.initials: EH
authors.lastname: Lee
authors.forename: Ganchimeg
authors.initials: G
authors.lastname: Jargal
authors.forename: Domyung
authors.initials: D
authors.lastname: Paek
authors.forename: Sung-il
authors.initials: SI
authors.lastname: Cho
mesh_terms: D000328:Adult; D000367:Age Factors; D015992:Body Mass Index; D005260:Female; D015438:Health Behavior; D006801:Humans; D006973:Hypertension / Q000503:physiopathology; D007333:Insulin Resistance / Q000502:physiology; D007429:Intraocular Pressure; D016014:Linear Models; D008055:Lipids / Q000097:blood; D008297:Male; D024821:Metabolic Syndrome / Q000150:complications* / Q000453:epidemiology / Q000503:physiopathology; D008875:Middle Aged; D056910:Republic of Korea / Q000453:epidemiology; D012737:Sex Factors
chemical_list: D008055:Lipids