Association Between Ocular Pressure and Certain Health Parameters

Carel, Rafael S.; Korczyn, Amos D.; Rock, Meir; Goya, Iñaki Lekuona

doi:10.1016/s0161-6420(84)34282-8

Cited by 126 publications

(86 citation statements)

References 14 publications

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“…11,12 Schulzer and Drance found that adjustment for systolic blood pressure accounted for any age effect. 13 Consistent associations with increasing IOP have been reported for increasing systolic blood pressure, 5,7,8,10,12,16,17 darker iris color, 9,14,18 and myopia. 6,14,18 Once glaucoma is diagnosed and treatment is initiated, the influence on IOP attributable to demographic, systemic, and ocular factors might be overwhelmed by the impact of glaucoma treatment.…”

Section: Introductionmentioning

confidence: 70%

“…Mitchell et al noted that the presence of pseudoexfoliation in non-glaucoma participants of the Blue Mountains Eye Study was significantly associated with higher IOP. 17 A defect in pupillary response at baseline, almost all of which were afferent defects, was associated with a higher baseline IOP. Since an afferent pupillary defect (APD) in a glaucoma patient is typically due to optic nerve damage, this finding is most likely indicative of more severe glaucoma damage in the eye with an APD.…”

Section: Discussionmentioning

confidence: 92%

“…In population studies, the reported effect of a person's sex on IOP has not been consistent. 4,7,8,11,12,17 The small number of patients with pseudoexfoliative OAG (n=29) presented with substantially higher IOP than those with primary or pigmentary forms of OAG. Mitchell et al noted that the presence of pseudoexfoliation in non-glaucoma participants of the Blue Mountains Eye Study was significantly associated with higher IOP.…”

Section: Discussionmentioning

confidence: 97%

“…Smoking had no effect on the mean IOPs of medically treated patients. Several studies have reported that smoking was associated with higher IOP, 8,17,18 but this would affect both those treated medically and surgically. The literature does not address if smoking affects trabeculectomy outcomes adversely.…”

Section: Discussionmentioning

confidence: 99%

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Factors Associated with Intraocular Pressure before and during 9 Years of Treatment in the Collaborative Initial Glaucoma Treatment Study

Musch¹,

Gillespie²,

Niziol³

et al. 2008

Ophthalmology

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Methods-After randomization to initial surgery or medications, patients were followed at sixmonth intervals. IOP was measured by Goldmann applanation tonometry. Predictive factors for IOP at baseline and during follow-up were analyzed using linear mixed models. Main Outcome Measure-IOP at baseline and during follow-up.Results-The mean baseline IOP was 27.5 mmHg (standard deviation, 5.6 mmHg). Predictive factors for higher baseline IOP included younger age (0.7 mmHg per 10 years), male sex (2.4 mmHg higher than females), pseudoexfoliative glaucoma (5.4 mmHg higher than primary OAG), and pupillary defect (2.2 mmHg higher than those without a defect). During nine years of follow-up, both surgery and medications dramatically reduced IOP from baseline levels, but the extent of IOP reduction was consistently greater in the surgery group. Over follow-up years 2-9, mean IOP was

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Section: Introductionmentioning

confidence: 70%

Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Factors Associated with Intraocular Pressure before and during 9 Years of Treatment in the Collaborative Initial Glaucoma Treatment Study

Musch¹,

Gillespie²,

Niziol³

et al. 2008

Ophthalmology

View full text Add to dashboard Cite

show abstract

“…Also, an association between obesity and IOP has been reported. 9,10 Gender also appears to have an effect on IOP. 4,5 A previous study showed that in older age groups, the apparent rise in mean IOP with increasing age is greater among women than men.…”

Section: Introductionmentioning

confidence: 92%

Longitudinal analysis of age-related changes in intraocular pressure in South Korea

Baek

Kee

Suh

2015

Eye

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Purpose To assess the changes in intraocular pressure (IOP) with age in South Korea Methods Subjects aged 20-79 who had been receiving health examinations at a university hospital were enrolled. They completed physical and ophthalmic examinations. Subjects with ocular disease that could possibly affect their IOP were excluded. The relationships between IOP and age, blood pressure, heart rate, body mass index, blood chemistry, and electrolyte were analyzed using a linear mixed model. Results Of the 33 712 subjects, 31 857 participants were enrolled. In a cross-sectional analysis, IOP also showed a negative correlation in all age groups (respectively, Po0.001). In particular, patients in their 60s~80s had a less steep decreasing slope of IOP with age than patients in their 20s~30s (correlation coefficient − 0.260 and − 0.168, respectively). In longitudinal analysis, negative trend was shown in the slope of tendency in total subjects. When analyzing the effect of gender on the relationship between age and IOP, females had a less steep decreasing slope of IOP with age than males by 0.05 mm Hg. With regard to systemic parameters, systolic blood pressure and heart rate were positively correlated with IOP (Po0.001). Conclusion IOP was significantly decreased with age, although the amount of change was small. In women and older age groups, IOP was less decreased than that of men and young age groups. In addition, IOP was positively associated with systolic blood pressure and heart rate.

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Association of Demographic, Familial, Medical, and Ocular Factors With Intraocular Pressure

et al. 2001

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To describe the distribution and associations of demographic, familial, medical, and ocular factors with intraocular pressure (IOP). Methods: A cluster stratified random sample of urban and rural residents of Victoria, Australia, aged 40 years and older. Participants completed an interview and underwent a standardized dilated ophthalmic examination including measurement of IOP with an electronic applanation tonometer (Tono-Pen). Glaucoma status (possible, probable, definite) was determined by a consensus panel. The main outcome measure was IOP. Results: The mean age of the 4576 participants was 59 years, 53% were women, 32% were born overseas, and 132 had open-angle glaucoma. Geometric mean (SD) IOP was 14.3 (±1.5) mm Hg. The relationship between IOP and nuclear sclerosis, iris color, and family history of glaucoma depended on glaucoma status. In those with glaucoma, family history of glaucoma and country of birth were significantly associated with IOP in multivariate models (model: r 2 =0.08, P=.01). In the group without glaucoma, place of residence, use of alcohol, iris color, vitamin E intake, and spherical equivalent were associated with IOP (model: r 2 =0.01, P=.006). Conclusion: In participants with glaucoma, genetic factors seem to be stronger predictors of IOP, whereas in those without glaucoma, lifestyle and physiological factors seem to play a greater role.

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Association Between Ocular Pressure and Certain Health Parameters

Cited by 126 publications

References 14 publications

Factors Associated with Intraocular Pressure before and during 9 Years of Treatment in the Collaborative Initial Glaucoma Treatment Study

Factors Associated with Intraocular Pressure before and during 9 Years of Treatment in the Collaborative Initial Glaucoma Treatment Study

Longitudinal analysis of age-related changes in intraocular pressure in South Korea

Association of Demographic, Familial, Medical, and Ocular Factors With Intraocular Pressure

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