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Data concerning colour vision deficiencies amongst 29,985 young Greeks
This study screened 29,985 Greek employees for color vision deficiencies. Males showed a 7.95% prevalence of color vision disturbance, significantly higher than the 0.42% found in females.
Area of Science:
- Ophthalmology
- Genetics
- Public Health
Background:
- Color vision deficiency (CVD) affects a significant portion of the population.
- Understanding the prevalence of CVD in specific demographics is crucial for occupational health and genetic counseling.
- Previous studies have indicated sex-based differences in CVD prevalence.
Purpose of the Study:
- To determine the prevalence of various types of color vision deficiencies in a large cohort of young Greek employees.
- To compare the prevalence rates between male and female participants.
- To provide updated epidemiological data on color vision status in the Greek workforce.
Main Methods:
- Screening of 29,985 young Greek employees using Ishihara plates.
- Further detailed testing, including anomaloscope examination, for individuals with suspected color vision defects.
- Data collection and statistical analysis of prevalence rates for different types of color vision deficiencies (protanopia, deuteranopia, protanomaly, deuteranomaly, monochromatic vision).
Main Results:
- A total of 1,678 males (7.95%) exhibited color vision disturbances, including protanopes, deuteranopes, protanomalous, deuteranomalous, and monochromatic vision.
- In contrast, only 37 females (0.42%) showed detectable color vision disturbances, with a significantly lower prevalence of protanopia, deuteranopia, protanomaly, and deuteranomaly.
- No cases of monochromatic vision were detected in the female cohort.
Conclusions:
- The prevalence of color vision deficiency is substantially higher in young Greek males compared to females.
- The findings highlight the importance of sex-specific considerations in screening programs and occupational health assessments for color vision.
- This study contributes valuable epidemiological data to the existing literature on color vision genetics and public health.
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