Age-related XXXX and gender.

@entity1 @entity172 @entity227 @entity2194 @entity725 @entity231 @entity6 @entity726 @entity1939 @entity1020
UNASSIGNED: Worldwide, the prevalence of moderate to severe @entity227 and @entity1939 is 285 millions, with 65% of @entity227 and 82% of all blind @entity1 being 50 years and older. Meta-analyses have shown that two out of three blind @entity1 are @entity1 , a gender discrepancy that holds true for both developed and developing countries. @entity231 accounts for more than half of all @entity1939 globally and gender inequity in access to @entity231 surgery is the major cause of the higher prevalence of @entity1939 in @entity1 . In addition to gender differences in @entity231 surgical coverage, population-based studies on the prevalence of @entity231 indicate that @entity1 have a higher risk of developing @entity231 . Laboratory as well as epidemiologic studies suggest that @entity172 may confer antioxidative protection against cataractogenesis, but the withdrawal effect of @entity172 in menopause leads to increased risk of @entity231 in @entity1 . For the other major age-related @entity2194 ; @entity726 , @entity1020 ( @entity1020 ) and @entity6 , data are inconclusive. Due to anatomic factors, angle closure @entity726 is more common in @entity1 , whereas the dominating @entity726 type; @entity725 ( @entity725 ), is more prevalent in @entity1 . @entity6 also has a male predominance and vascular/circulatory factors have been implied both in @entity6 and in @entity725 . For @entity1020 , data on gender differences are conflicting although some studies indicate increased prevalence of @entity1020 in @entity1 . To conclude, both biologic and socioeconomic factors must be considered when investigating causes of gender differences in the prevalence of age-related @entity2194 .
