title: [On factors related to the width of anterior chamber angle--multivariate analysis of biometrically determined values].
abstract: Primary angle-closure glaucoma (PACG) is associated with certain biometric ocular features such as shallow anterior chamber, axial hyperopia, increased thickness of the lens and small corneal diameter. The vast majority of previous studies on PAGG has shown that females are affected more frequently than males. In an attempt to study the relationship between the angle width and ocular dimensions, we carried out gonioscopic examination and biometric measurements (corneal diameter, corneal radius, anterior chamber depth, lens thickness, relative lens position and axial length) in 1,169 eyes of 585 adult subjects who participated in the glaucoma screening in Gifu Prefecture. It was found that the angle width significantly correlated with each biometric value. The coefficient of determination calculated by multiple regression analysis was 0.41, suggesting that factors other than these are involved in determining the angle width. When the angle width of females was compared to that of males with identical refractive errors and biometric values, the angle width of females was significantly narrower than that of males. Hence, the difference in ocular dimensions does not adequately explain the higher incidence of narrow angle in females. Increased asymmetry of angle width between a pair of eyes with aging appeared to be related to asymmetry of lens thickness, anterior chamber depth and lens position.
authors.affiliation: Department of Ophthalmology, Gifu University School of Medicine, Japan.
authors.forename: I
authors.initials: I
authors.lastname: Okabe
authors.forename: K
authors.initials: K
authors.lastname: Sugiyama
authors.forename: T
authors.initials: T
authors.lastname: Taniguchi
authors.forename: G
authors.initials: G
authors.lastname: Tomita
authors.forename: Y
authors.initials: Y
authors.lastname: Kitazawa
mesh_terms: D000328:Adult; D000368:Aged; D000867:Anterior Chamber / Q000033:anatomy & histology*; D001699:Biometry; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D012044:Regression Analysis; D012737:Sex Factors