• Journal of Korean Ophthalmic Optics Society
• /
• v.5 no.1
• /
• pp.165-171
• /
• 2000

The purpose of this study is to determine the prevalence of cataracts in a rural area of Kyung-Buk province. Cataract is the main cause of blindness and visual impairment in the world. Recently, the number of age-related cataract surgeries has increased remarkably. In spite of such an increase in the number of patients, there are still many cataract patients with highly deteriorated visual function who have had no occasion to receive an ocular examination. In order to screen such patients the author assessed 636 individual(1272 eyes) aged 50 years or more who had wanted to be examined generally in two area. Chilgok and Munkyung, Kyung-Buk province using a simplified cataract screening system recently proposed by Sasaki et al. Kanazawa Medical University in Japan. The results obtained are as follows. The number of visual impairment patients in this study group was 493(77.5%). They were screened by cataract screening system. Primary screening examination detected 448 subjects to be suspected of cataract while the subsequent secondary examination narrowed this number of subjects to 308(48.4%). Final number of subjects to be diagnosed of cataract was 421(66.2%). The rate of incidence, according to the age, was 27.5% in the 50 year-olds age group, 62.5% in the 60's age group, 86.1% in the 70's age group and 94.3% in the 80's age group and upwards. This results concluded that cataract is the main cause of blindness and visual impairment and is an important public eye health care problem of aged population in rural Korea. Methods of tackling the cataract problem(both backlog and incident), and other eye health needs are recommended. The need to extend eye health service to the rural areas is emphasized.

• Land and Housing Review
• /
• v.12 no.2
• /
• pp.13-32
• /
• 2021

Rapid urbanization has resulted in the unprecedented growth of population in Metro Manila, the Philippines and has led to a 'dual' housing crisis - vacant/unoccupied socialized housing and a chronic housing shortage or delayed housing supply. By developing two GIS-based statistical models, this study is to examine socialized housing in comparison with private housing with respect to location patterns, integration, accessibility, social and economic aspects, and vulnerability to environmental hazards. Multiple regression analysis was integrated with the GIS to identify significant variables that influence the spatial distribution of socialized housing. The comparison between the two regression models has shown that socialized housing is located in areas with inappropriate land use and poor accessibility to transportation facilities and built urban resources. Moreover, both regression models have proven the statistical significance of the vulnerability of socialized housing to environmental hazards. The finding explains how the current housing policies do not address the country's housing crisis, especially for the marginalized and low-income households. Thus, the findings provide implications for urban planners and local decision-makers in reforming the current policy interventions.