Global Search

Search articles, concepts, and chapters

JAMA OphthalmolOctober 20150 citations

Association between body levels of trace metals and glaucoma prevalence.

Lin Shuai-Chun, Singh Kuldev, Lin Shan C


AI Summary

This study found lower blood manganese and higher blood mercury levels are associated with increased glaucoma prevalence, suggesting trace metals may play a role in glaucoma development.

Abstract

Importance

Abnormal body levels of essential elements and exposure to toxic trace metals have been postulated to contribute to the pathogenesis of diseases affecting many organ systems, including the eye.

Objective

To investigate associations between body levels of trace metals and the prevalence of glaucoma in a cross-sectional population-based study.

Design, setting, and participants: Blood or urine metallic element levels and information pertaining to ocular disease were available for 2680 individuals 19 years and older participating in the fourth Korea National Health and Nutrition Examination Survey between January 1, 2008, and December 31, 2009, the second and the third years of the survey (2007-2009). Glaucoma diagnosis was based on criteria established by the International Society of Geographic and Epidemiologic Ophthalmology. Demographic, comorbidity, and health-related behavior information was obtained via interview. Multivariable logistic regression analyses were performed to determine associations between blood and urine trace element levels and the odds of glaucoma diagnosis. All analyses were performed between September 2014 and December 2014.

Main outcome and measure: The presence or absence of glaucoma.

Results

After adjustment for potential confounders, blood manganese level was negatively associated with the odds of glaucoma diagnosis (odds ratio [OR], 0.44; 95% CI, 0.21-0.92). Blood mercury level was positively associated with glaucoma prevalence (OR, 1.01; 95% CI, 1.00-1.03). No definitive association was identified between blood cadmium or lead levels or urine arsenic level and a diagnosis of glaucoma.

Conclusions and relevance: These findings in a cross-sectional study of the South Korean population suggest that a lower blood manganese level and a higher blood mercury level are associated with greater odds of glaucoma. For more confidence that trace metals may have a role in the pathogenesis of glaucoma, prospective studies would need to confirm that the presence of such trace metals increases the chance of developing glaucoma.


MeSH Terms

ArsenicalsAsian PeopleCadmium CompoundsCross-Sectional StudiesFemaleGlaucomaHumansLead PoisoningMaleManganese CompoundsMercury CompoundsMiddle AgedNutrition SurveysOdds RatioPrevalenceProspective StudiesRepublic of KoreaRisk FactorsSpectrophotometry, AtomicSurveys and QuestionnairesTrace Elements

Key Concepts4

A lower blood manganese level was negatively associated with the odds of glaucoma diagnosis (odds ratio [OR], 0.44; 95% CI, 0.21-0.92) in a cross-sectional study of 2680 individuals 19 years and older participating in the fourth Korea National Health and Nutrition Examination Survey.

PrognosisCross-sectionalCross-sectional studyn=2680 individualsCh10

A higher blood mercury level was positively associated with glaucoma prevalence (OR, 1.01; 95% CI, 1.00-1.03) in a cross-sectional study of 2680 individuals 19 years and older participating in the fourth Korea National Health and Nutrition Examination Survey.

PrognosisCross-sectionalCross-sectional studyn=2680 individualsCh10

No definitive association was identified between blood cadmium or lead levels or urine arsenic level and a diagnosis of glaucoma in a cross-sectional study of 2680 individuals 19 years and older participating in the fourth Korea National Health and Nutrition Examination Survey.

PrognosisCross-sectionalCross-sectional studyn=2680 individualsCh10

The study investigated associations between body levels of trace metals and the prevalence of glaucoma in 2680 individuals 19 years and older participating in the fourth Korea National Health and Nutrition Examination Survey between January 1, 2008, and December 31, 2009.

MethodologyCross-sectionalCross-sectional population-based studyn=2680 individualsCh10

Is this article assigned to the wrong chapter(s)? Let us know.