OBJECTIVES: 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.
OBJECTIVES: 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: Hassan Hashemi; Mehdi Khabazkhoob; Mohammad Hassan Emamian; Mohammad Shariati; Abbasali Yekta; Akbar Fotouhi Journal: Int J Ophthalmol Date: 2016-08-18 Impact factor: 1.779
Authors: Y-H Kim; S W Jung; G-E Nam; K Do Han; A R Bok; S J Baek; K-H Cho; Y S Choi; S-M Kim; S-Y Ju; D-H Kim Journal: Eye (Lond) Date: 2014-03-07 Impact factor: 3.775
Authors: Nawaf Almarzouki; Sumayya A Bafail; Daniyah H Danish; Sultan R Algethami; Noorah Shikdar; Saif Ashram; Tala Roblah Journal: Cureus Date: 2022-05-22