, MBBS, FRACPPurpose-The objective of the present study was to describe the prevalence of homonymous visual field defects in a defined older urban population and associations with self-reported stroke. Methods-Homonymous visual field defects were assessed from screening automated visual field tests of both eyes in 3654 persons aged Ն49 years who were participating in the Blue Mountains Eye Study. This represented 82.4% of eligible residents from a defined area west of Sydney, Australia. A detailed eye examination was performed, and the medical history was taken. Masked grading of visual fields was used to classify the presence of homonymous visual field defects. Results-Homonymous visual field defects were found in 25 persons (prevalence 0.8%, 95% CI 0.5% to 1.1%). Stroke history was reported by 194 participants (5.3%, 95% CI 4.6% to 6.1%). A strong relationship was found between homonymous visual field defects and history of stroke, age-, and sex-adjusted odds ratio (OR) 23.4 (95% CI 9.9 to 55.7). Homonymous field defects were present in 8.3% of all persons who reported experiencing a stroke. Among those with homonymous field defects, 52% reported a history of stroke. Only 2 of 10 persons (20%) with homonymous field defects without a history of stroke reported having stopped driving, whereas 6 of 9 (67%) reporting stroke had stopped driving (Pϭ0.07). Increasing age (OR 1.4 per decade, 95% CI 1.2 to 1.8) was significantly associated with homonymous visual field defects, with adjustment for sex, whereas a history of hypertension (OR 2.7, 95% CI 1.2 to 6.1), diabetes (OR 2.1, 95% CI 1.4 to 3.2), and renal impairment (OR 2.8, 95% CI 1.0 to 8.1) also was associated, with adjustment for age and sex. Conclusions-This study provides accurate prevalence data for homonymous visual field defects in an older population.About half the participants did not report stroke.
The aim of present study was to review vision and other factors associated with the cessation of driving. As part of the Blue Mountains Eye Study, detailed demographic information, driving status and medical history were taken. Visual acuity was measured during a standardized refraction and visual fields documented. Potential risk factors were decided a priori. Among the 3654 Eye Study participants, 2831 (77.5%) had driven a motor vehicle in the past, of whom 2379 (84.0%) were current drivers and 452 (16.0%, 95% CI 14.6-17.4%) said they had stopped driving. Older persons and women were more likely to have stopped driving. After adjusting for age and sex, sensory impairment affecting vision and hearing, plus chronic medical conditions and benzodiazepine use were significantly associated with cessation of driving. The study found that sensory impairment, particularly visual parameters, was associated with the decision to stop driving by older subjects.
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