ArticleInvestigative ophthalmology & visual science2022
The Association Between Age and Systemic Variables and the Longitudinal Trend of Intraocular Pressure in a Large-Scale Health Examination Cohort.
Article in Investigative ophthalmology & visual science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 18 citations in OpenAlex.
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- Association Between Geriatric Assessment Scores and Corneal Biomechanical Parameters in Patients with Glaucoma.Biomedicines · 2026Article
- Ciliary muscle thickness and intraocular pressure before and after latanoprost.Optometry and vision science : official publication of the American Academy of Optometry · 2026Article
- Dose-response association between metabolic abnormality burden and intraocular pressure in a population undergoing routine health examinations: a cross-sectional study.BMC ophthalmology · 2026Article
- Age-Related Differences in Ocular and Cardiovascular Responses and Recovery After Graded Motor-Cognitive Physical Activity.Healthcare (Basel, Switzerland) · 2026Article
- Analysis of ocular biometrics in cataract patients aged 40 and above in Suzhou, China.Frontiers in medicine · 2026Article
- Usefulness of Measuring Corneal Stiffness in Predicting the Reduction of Intraocular Pressure With Microhook Ab Interno Trabeculotomy.Translational vision science & technology · 2025Article
- Effects of ambient atmospheric pressure on intraocular pressure measured using a Goldman applanation tonometer in normal eyes under ordinary conditions.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025Article
- Biological Age Acceleration, Genetic Susceptibility, and Incident Glaucoma Risk.Investigative ophthalmology & visual science · 2025Article
- Longitudinal changes in the intraocular pressure and their related factors among adults aged 40 to 64 years.Scientific reports · 2025Article
- Fundus-Derived Predicted Age Acceleration in Glaucoma Patients Using Deep Learning and Propensity Score-Matched Controls.Journal of clinical medicine · 2025Article
- Link Between Metabolic Syndrome, Inflammation, and Eye Diseases.International journal of molecular sciences · 2025Review
- The Relationship Between Serum Biochemical Variables and Corneal Biomechanics Measured by Corvis ST Among Healthy Young Adults.Translational vision science & technology · 2025Article
- Does Age Modify the Relation Between Genetic Predisposition to Glaucoma and Various Glaucoma Traits in the UK Biobank?Investigative ophthalmology & visual science · 2025Article
- Influence of meteorological factors on intraocular pressure variability using a large-scale cohort.Scientific reports · 2024Article
- Nonhuman Primate Eyes Display Variable Growth and Aging Rates in Alignment With Human Eyes.Investigative ophthalmology & visual science · 2023Article
- Microbiome Dysbiosis: A Pathological Mechanism at the Intersection of Obesity and Glaucoma.International journal of molecular sciences · 2023Review
- Distribution and associated factors of intraocular pressure in the older population: Tehran Geriatric Eye Study.International journal of ophthalmology · 2023Article
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Authors and funding
10 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The detailed effects of age and systemic factors on intraocular pressure (IOP) have not been fully understood because of the lack of a large-scale longitudinal investigation. This study aimed to investigate the effect of various systemic factors on the longitudinal change of IOP. Methods: There were a total of 20,909 eyes of 10,471 subjects from a health checkup cohort that were followed up for systemic factors: (i) age at baseline, (ii) sex, (iii) time series body mass index (BMI), (iv) time series smoking habits, (v) time series systolic and diastolic blood pressures (SBP and DBP), and (vi) time series 19 blood examinations (all of the time series data was acquired at each annual visit), along with IOP annually for at least 8 years. Then the longitudinal effect of the systemic factors on the change of IOP was investigated. Results: IOP significantly decreased by -0.084 mm Hg/year. BMI, SBP, DBP, smoking habits, total triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and glycosylated hemoglobin A1c were not significantly associated with the change of IOP. Higher values of age, aspartate aminotransferase, hemoglobin, platelet, and calcium were suggested to be significantly associated with the decrease of IOP, whereas higher alanine aminotransferase, guanosine triphosphate, white blood cell count, red blood cell count, and female gender were significantly associated with the increase of IOP. Conclusions: Age, aspartate aminotransferase, hemoglobin, platelet, calcium, alanine aminotransferase, guanosine triphosphate, white blood cell count, red blood cell count, and gender were the systemic variables significantly associated with the change of IOP.
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