Literature DB >> 35747032

The Impact of Systemic Health Parameters on Intraocular Pressure in the Western Region of Saudi Arabia.

Nawaf Almarzouki1, Sumayya A Bafail2, Daniyah H Danish2, Sultan R Algethami2, Noorah Shikdar3, Saif Ashram2, Tala Roblah2.   

Abstract

Background A normal intraocular pressure (IOP) is essential for maintaining the normal structure and function of the eyes. Furthermore, an elevated IOP is a known risk factor for glaucoma. As the results from studies addressing the relationship between IOP and systemic health parameters are conflicting, researchers have not reached a consensus. This study aimed to evaluate the relationship between IOP and health parameters among non-glaucomatous participants in the western region of Saudi Arabia. Method We retrospectively reviewed the medical records of 255 participants aged 20 years and above who had not received any medical treatment for ocular hypertension or glaucoma at King Abdulaziz University Hospital (KAUH), Jeddah, Saudi Arabia, from January 2019 to April 2021. The patients were categorized into age groups, divided by decades (ranging from 20-29 years to 80+ years); the most prevalent age group was 60-69 years. The data were entered using Microsoft Excel 2016 (Microsoft Corporation, Redmond, Washington), and Statistical Package for the Social Sciences (SPSS) software was used for univariate analysis. The relationship between continuous variables was analyzed by the Pearson correlation coefficient. The differences between continuous and categorical variables were assessed by the t-test and one-way analysis of variance (ANOVA) test, respectively. Results The mean (standard deviation) IOP in the right and the left eyes was 15.7 mmHg (4.0) and 15.6 mmHg (3.9), respectively. There were no significant associations between IOP and lipid profile parameters (p > 0.05). There was a statistically significant difference in the right IOP, in relation to the age groups (p = 0.006). Moreover, the mean IOP in the left eye was significantly higher among patients with diabetes than in the patients without diabetes (p = 0.007) as well as in patients with hypertension than in the patients without hypertension (p = 0.023). Conclusion The effect of total cholesterol, triglyceride (TG), low-density lipoprotein (LDL), high-density lipoprotein (HDL), BMI, and sex on IOP could not be established in our study. However, over the past years, people's diets have incorporated higher cholesterol and fat content, leading to higher BMI levels. Therefore, further studies of the association between BMI and IOP are critical to determine if BMI is certainly a significant risk factor for increased IOP and glaucoma.
Copyright © 2022, Almarzouki et al.

Entities:  

Keywords:  body mass index; diabetes; glaucoma; hypertension; intraocular pressure

Year:  2022        PMID: 35747032      PMCID: PMC9213110          DOI: 10.7759/cureus.25217

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


  44 in total

1.  A longitudinal study of the relationship between intraocular and blood pressures.

Authors:  S D McLeod; S K West; H A Quigley; J L Fozard
Journal:  Invest Ophthalmol Vis Sci       Date:  1990-11       Impact factor: 4.799

2.  Relation between intraocular pressure and systemic health parameters in Taiwan.

Authors:  Hsin-Yi Chen; Shih-Wei Lai
Journal:  South Med J       Date:  2005-01       Impact factor: 0.954

3.  The distribution of intraocular pressure and its association with metabolic syndrome in a community.

Authors:  Sang-shin Park; Eun-Hee Lee; Ganchimeg Jargal; Domyung Paek; Sung-il Cho
Journal:  J Prev Med Public Health       Date:  2010-03

4.  Intraocular pressure and related systemic and ocular biometric factors in a population-based study in Japan: the Kumejima study.

Authors:  Eriko Tomoyose; Akiko Higa; Hiroshi Sakai; Shoichi Sawaguchi; Aiko Iwase; Atsuo Tomidokoro; Shiro Amano; Makoto Araie
Journal:  Am J Ophthalmol       Date:  2010-06-08       Impact factor: 5.258

5.  Intraocular pressure, systemic blood pressure, and age: a correlational study.

Authors:  M Schulzer; S M Drance
Journal:  Br J Ophthalmol       Date:  1987-04       Impact factor: 4.638

6.  Relationship between age and intraocular pressure: the Blue Mountains Eye Study.

Authors:  Elena Rochtchina; Paul Mitchell; Jie Jin Wang
Journal:  Clin Exp Ophthalmol       Date:  2002-06       Impact factor: 4.207

7.  The number of people with glaucoma worldwide in 2010 and 2020.

Authors:  H A Quigley; A T Broman
Journal:  Br J Ophthalmol       Date:  2006-03       Impact factor: 4.638

Review 8.  The pathophysiology and treatment of glaucoma: a review.

Authors:  Robert N Weinreb; Tin Aung; Felipe A Medeiros
Journal:  JAMA       Date:  2014-05-14       Impact factor: 56.272

9.  Systemic factors associated with intraocular pressure among subjects in a health examination program in Japan.

Authors:  Satsuki Takahashi; Katsunori Hara; Ichiya Sano; Keiichi Onoda; Atsushi Nagai; Shuhei Yamaguchi; Masaki Tanito
Journal:  PLoS One       Date:  2020-06-03       Impact factor: 3.240

10.  The synergistic effect of inflammation and metabolic syndrome on intraocular pressure: A cross-sectional study.

Authors:  I-Te Lee; Jun-Sing Wang; Chia-Po Fu; Chia-Jen Chang; Wen-Jane Lee; Shih-Yi Lin; Wayne Huey-Herng Sheu
Journal:  Medicine (Baltimore)       Date:  2017-09       Impact factor: 1.889

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