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Published on: November 28, 2012
Nutrient patterns and risk of cataract: a case-control study
Fatemeh Sedaghat1, Matin Ghanavati1, Parisa Nezhad Hajian1
1Department of Community Nutrition, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute (WHO Collaborating Center), Shahid Beheshti University of Medical Sciences, Tehran 1981619573, Iran.
Dietary patterns rich in sodium and fatty acids may increase cataract risk, while antioxidant and omega-3 patterns show protective effects. Understanding nutrient patterns is key to cataract prevention.
Area of Science:
- Nutrition Science
- Ophthalmology
- Epidemiology
Background:
- Cataract is a leading cause of vision impairment globally.
- Dietary factors are increasingly recognized for their role in eye health.
- Specific nutrient patterns and their association with cataract risk require further investigation.
Purpose of the Study:
- To investigate the relationship between distinct dietary nutrient patterns and the risk of developing cataracts.
- To identify specific dietary patterns that may either increase or decrease cataract incidence.
Main Methods:
- A hospital-based case-control study involving 97 cataract patients and 198 controls.
- Dietary intake was assessed using a validated food frequency questionnaire (FFQ).
- Factor analysis identified five main nutrient patterns: sodium, fatty acid, mixed, antioxidant, and omega-3. Logistic regression models were employed to analyze associations.
Main Results:
- Five distinct nutrient patterns were identified.
- Higher intake of sodium and fatty acid patterns was significantly associated with an increased risk of cataract.
- Antioxidant and omega-3 fatty acid patterns demonstrated a significant reduction in cataract risk.
Conclusions:
- Dietary nutrient patterns, representing combined nutrient intake, play a role in cataract development.
- Specific patterns, such as those high in antioxidants and omega-3 fatty acids, may be protective against cataracts.
- Further research with robust study designs is recommended to validate these findings.
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