- The Distribution of Intraocular Pressure and Its Association With Metabolic Syndrome in a Community.
-
Sang shin Park, Eun Hee Lee, Ganchimeg Jargal, Domyung Paek, Sung Il Cho
-
J Prev Med Public Health. 2010;43(2):125-130.
-
DOI: https://doi.org/10.3961/jpmph.2010.43.2.125
-
-
5,956
View
-
122
Download
-
34
Crossref
-
 Abstract
 PDF
- 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.
-
Summary
-
Citations
Citations to this article as recorded by  - Influence of meteorological factors on intraocular pressure variability using a large-scale cohort
Ryo Asaoka, Hiroshi Murata, Shigetaka Muto, Akira Obana
Scientific Reports.2024;[Epub] CrossRef - Comparison of Anterior Segment Parameters in Obese Children And Healthy Control Group
Mehmet Tahir ESKİ, Kuddusi TEBERİK, Taha SEZER, İlknur ARSLANOĞLU
Konuralp Tıp Dergisi.2023; 15(2): 190. CrossRef - Prevalence of Ocular Hypertension and Other Risk Factors of Open-Angle Glaucoma Among Middle-Aged Adults in Al-Baha City, Saudi Arabia
Mahadi Bashir, Ali H Alghamdi, Suhaib A Alzahrani, Abdullah M Alhajji, Loay Y Al Thobaiti, Khalid A Alzahrani, Ahmed G Alghamdi, Ranin K Alnemari, Abdulaziz H Althobaiti, Roaa S Alzahrani
Cureus.2023;[Epub] CrossRef - EVALUATION OF THE RELATIONSHIPS BETWEEN OBESITY AND CENTRAL RETINAL THICKNESS, RETINAL NERVE FIBER LAYER, INTRAOCULAR PRESSURE, AND CENTRAL CORNEAL THICKNESS IN CHILDREN
Osman Okan OLCAYSÜ, Buğra KARASU, Elif OLCAYSU, Atilla ÇAYIR, Ali Riza Cenk CELEBİ
Acibadem Universitesi Saglik Bilimleri Dergisi.2022;[Epub] CrossRef - Characterizing the Aging Process of the Human Eye: Tear Evaporation, Fluid Dynamics, Blood Flow, and Metabolism-Based Comparative Study
Md Ashiqur Rahman, Mamun Rabbani, Md Hasan Maruf, Aminul Islam, A. S. M. Shihavuddin, Ali A. Khraibi
BioMed Research International.2022; 2022: 1. CrossRef - Association of Metabolic Syndrome With Glaucoma and Ocular Hypertension in a Midwest United States Population
Kristi Y. Wu, David O. Hodge, Launia J. White, Jacinta McDonald, Gavin W. Roddy
Journal of Glaucoma.2022; 31(6): e18. CrossRef - The Impact of Systemic Health Parameters on Intraocular Pressure in the Western Region of Saudi Arabia
Nawaf Almarzouki, Sumayya A Bafail , Daniyah H Danish, Sultan R Algethami, Noorah Shikdar, Saif Ashram, Tala Roblah
Cureus.2022;[Epub] CrossRef - The Association Between Age and Systemic Variables and the Longitudinal Trend of Intraocular Pressure in a Large-Scale Health Examination Cohort
Ryo Asaoka, Akira Obana, Hiroshi Murata, Yuri Fujino, Takashi Omoto, Shuichiro Aoki, Shigetaka Muto, Yuji Takayanagi, Tatsuya Inoue, Masaki Tanito
Investigative Opthalmology & Visual Science.2022; 63(11): 22. CrossRef - Age-Related Changes in Intraocular Pressure: Japan Ningen Dock Study
Ryo Terauchi, Takashi Wada, Kota Fukai, Masayuki Tatemichi, Shumpei Ogawa, Takahiko Noro, Kyoko Ito, Tomohiro Kato, Kiminori Kato, Tadashi Nakano
Journal of Glaucoma.2022; 31(12): 927. CrossRef - Effects of French maritime pine bark/bilberry fruit extracts on intraocular pressure for primary open-angle glaucoma
Kaoru Manabe, Sachiko Kaidzu, Aika Tsutsui, Mihoko Mochiji, Yotaro Matsuoka, Yasutaka Takagi, Etsuyo Miyamoto, Masaki Tanito
Journal of Clinical Biochemistry and Nutrition.2021; 68(1): 67. CrossRef - Predicting intraocular pressure using systemic variables or fundus photography with deep learning in a health examination cohort
Kaori Ishii, Ryo Asaoka, Takashi Omoto, Shingo Mitaki, Yuri Fujino, Hiroshi Murata, Keiichi Onoda, Atsushi Nagai, Shuhei Yamaguchi, Akira Obana, Masaki Tanito
Scientific Reports.2021;[Epub] CrossRef - Metabolic syndrome and the aging retina
Gavin W. Roddy
Current Opinion in Ophthalmology.2021; 32(3): 280. CrossRef - Obesity, Blood Pressure, and Intraocular Pressure: A Cross-Sectional Study in Italian Children
Claudia Pileggi, Rosa Papadopoli, Caterina De Sarro, Carmelo Giuseppe Angelo Nobile, Maria Pavia
Obesity Facts.2021; 14(2): 169. CrossRef - Systemic factors associated with intraocular pressure among subjects in a health examination program in Japan
Satsuki Takahashi, Katsunori Hara, Ichiya Sano, Keiichi Onoda, Atsushi Nagai, Shuhei Yamaguchi, Masaki Tanito, Der-Chong Tsai
PLOS ONE.2020; 15(6): e0234042. CrossRef - The Association between Metabolic Abnormalities and Ocular Perfusion Pressure in Healthy Korean Adults
Jeong Min Kwon, Jonghoon Shin
Journal of the Korean Glaucoma Society.2020; 9(1): 17. CrossRef - Metabolic Syndrome Is Associated With Ocular Hypertension and Glaucoma
Gavin W. Roddy
Journal of Glaucoma.2020; 29(9): 726. CrossRef - Heterogeneity in arterial hypertension and ocular perfusion pressure definitions: Towards a consensus on blood pressure‐related parameters for glaucoma studies
João Barbosa‐Breda, Luis Abegão‐Pinto, Karel Van Keer, Danilo A. Jesus, Sophie Lemmens, Evelien Vandewalle, Amândio Rocha‐Sousa, Ingeborg Stalmans
Acta Ophthalmologica.2019;[Epub] CrossRef - Gender Difference in Intraocular Pressure and Incidence of Metabolic Syndrome: A Community-Based Cohort Study in Matsu, Taiwan
Raymond N. Kuo, Chia-Ching Yang, Amy Ming-Fang Yen, Tzeng-Ying Liu, Ming-Wei Lin, Sam Li-Sheng Chen
Metabolic Syndrome and Related Disorders.2019; 17(6): 334. CrossRef - Distribution of IOP measured with an air puff tonometer in a young population
Hassan Hashemi, Mehdi Khabazkhoob, Payam Nabovati, Negareh Yazdani, Hadi Ostadimoghaddam, Ehsan Shiralivand, Akbar Derakhshan, AbbasAli Yekta
Journal of Current Ophthalmology.2018; 30(1): 35. CrossRef - Relationship Between Serum Glucose Levels and Intraocular Pressure, a Population-based Cross-sectional Study
Eytan Cohen, Michal Kramer, Tzippy Shochat, Elad Goldberg, Ilan Krause
Journal of Glaucoma.2017; 26(7): 652. CrossRef - The synergistic effect of inflammation and metabolic syndrome on intraocular pressure
I-Te Lee, Jun-Sing Wang, Chia-Po Fu, Chia-Jen Chang, Wen-Jane Lee, Shih-Yi Lin, Wayne Huey-Herng Sheu
Medicine.2017; 96(36): e7851. CrossRef - The association between intraocular pressure and different combination of metabolic syndrome components
JunSeok Son, HyunMin Koh, JunHyuk Son
BMC Ophthalmology.2016;[Epub] CrossRef - Evaluation of the associations between changes in intraocular pressure and metabolic syndrome parameters: a retrospective cohort study in Japan
Hiroshi Yokomichi, Kenji Kashiwagi, Kazuyoshi Kitamura, Yoshioki Yoda, Masahiro Tsuji, Mie Mochizuki, Miri Sato, Ryoji Shinohara, Sonoko Mizorogi, Kohta Suzuki, Zentaro Yamagata
BMJ Open.2016; 6(3): e010360. CrossRef - Associations of blood heavy metal levels with intraocular pressure
Sangshin Park, Nam-Kyong Choi
Annals of Epidemiology.2016; 26(8): 546. CrossRef - A Longitudinal Study of Association between Adiposity Markers and Intraocular Pressure: The Kangbuk Samsung Health Study
Di Zhao, Myung Hun Kim, Roberto Pastor-Barriuso, Yoosoo Chang, Seungho Ryu, Yiyi Zhang, Sanjay Rampal, Hocheol Shin, Joon Mo Kim, David S. Friedman, Eliseo Guallar, Juhee Cho, Demetrios Vavvas
PLOS ONE.2016; 11(1): e0146057. CrossRef - Relationship Between Intraocular Pressure and Parameters of Obesity in Korean Adults: The 2008–2010 Korea National Health and Nutrition Examination Survey
Hyung-Deok Jang, Do Hoon Kim, Kyungdo Han, Suk Gyu Ha, Yang Hyun Kim, Jae Woo Kim, Ji Young Park, Su Jung Yoon, Dong Wook Jung, Sang Woon Park, Ga Eun Nam
Current Eye Research.2015; 40(10): 1008. CrossRef - The Association between Primary Open-Angle Glaucoma and Blood Pressure: Two Aspects of Hypertension and Hypotension
Hye Jin Chung, Hyung Bin Hwang, Na Young Lee
BioMed Research International.2015; 2015: 1. CrossRef - Association of IOP with Systemic Factors in a Korean Cohort
Yang Jae Kim, Yeoun Sook Chun, Mi Yeon Lee, Joon Mo Kim, Seong Hee Shim, Chungkwon Yoo, Jeong Hun Bae, Ki Ho Park
Optometry and Vision Science.2015; 92(12): 1182. CrossRef - The Association of Blood Pressure and Primary Open-Angle Glaucoma: A Meta-analysis
Di Zhao, Juhee Cho, Myung Hun Kim, Eliseo Guallar
American Journal of Ophthalmology.2014; 158(3): 615. CrossRef - High intraocular pressure is associated with cardiometabolic risk factors in South Korean men: Korean National Health and Nutrition Examination Survey, 2008–2010
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
Eye.2014; 28(6): 672. CrossRef - Diabetes, Glucose Metabolism, and Glaucoma: The 2005–2008 National Health and Nutrition Examination Survey
Di Zhao, Juhee Cho, Myung Hun Kim, David Friedman, Eliseo Guallar, Sanjoy Bhattacharya
PLoS ONE.2014; 9(11): e112460. CrossRef - Distribution of Intraocular Pressure and Its Association with Ocular Features and Cardiovascular Risk Factors
René Hoehn, Alireza Mirshahi, Esther M. Hoffmann, Ulrike B. Kottler, Philipp S. Wild, Dagmar Laubert-Reh, Norbert Pfeiffer
Ophthalmology.2013; 120(5): 961. CrossRef - Epidemiologic Characteristics of Intraocular Pressure in the Korean and Mongolian Populations: The Healthy Twin and the GENDISCAN Study
Mi Kyeong Lee, Sung-Il Cho, Ho Kim, Yun-Mi Song, Kayoung Lee, Jong-Il Kim, Dong-Myung Kim, Tae-Young Chung, Youn Sic Kim, Jeong-Sun Seo, Don-Il Ham, Joohon Sung
Ophthalmology.2012; 119(3): 450. CrossRef - Age- and gender-specific association between intraocular pressure and metabolic variables in a Taiwanese population
Chia-Pin Lin, Yu-Sheng Lin, Shiu-Chen Wu, Yu-Shien Ko
European Journal of Internal Medicine.2012; 23(1): 76. CrossRef
- Usefulness of Color Vision Test for Early Detection of Neurological Damages by Neurotoxic Substances.
-
Eun Hee Lee, Kyungho Choi, Hong Jae Chae, Domyung Paek
-
J Prev Med Public Health. 2008;41(6):397-406.
-
DOI: https://doi.org/10.3961/jpmph.2008.41.6.397
-
-
Abstract
PDF
- This paper reviews the published literature that is concerned with color vision impairment from industrial and environmental exposure to neurotoxic substances, and we evaluated whether testing for color vision impairment could be an affordable procedure for assessing these neurotoxic effects. In general, most cases of congenital color vision impairment are red-green, and blue-yellow impairment is extremely rare. However, most of the acquired color vision impairment that is related to age, alcohol or environmental factors is blue-yellow impairment. Therefore, many studies have been performed to identify this relationship between exposure to neurotoxic substances, such as organic solvents and heavy metals, and the prevalence of blueyellow color vision impairment. The test for color vision impairment is known to be very sensitive to the early signs of nervous system dysfunction and this can be useful for making the early diagnosis of neurotoxic effects from exposure to very low concentrations of toxic substances.
-
Summary
- Heavy Metal as Risk Factor of Cardiovascular Disease : An Analysis of Blood Lead and Urinary Mercury.
-
Dae Seon Kim, Eun Hee Lee, Seung Do Yu, Jung Hoon Cha, Seung Chul Ahn
-
J Prev Med Public Health. 2005;38(4):401-407.
-
-
-
Abstract
PDF
- OBJECTIVES
We wanted to investigate the relationship between heavy metal, especially lead and mercury, to the blood pressure and cholesterol level in children. METHODS: This study was undertaken in three primary schools and the study subjects were a total of 274 children. The lead in the blood and the urine mercury were analyzed by performing atomic absorption spectroscopy. RESULTS: All of participants' blood lead levels and urine mercury concentrations were below the suggested level of concern according to the criteria of the CDC and ATSDR. We found no significant correlation between lead, mercury and the blood pressure. The blood lead level did not show any relationship with the blood pressure and cholesterol. However, the urine mercury levels were associated with the serum cholesterol. CONCLUSION: Our study suggests that mercury can induce an increase of cholesterol as a risk factor of myocardial infraction and coronary/cardiovascular disease.
-
Summary
|
KSPM
