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Yeungnam Univ J Med > Volume 8(2); 1991 > Article
Yeungnam University Journal of Medicine 1991;8(2):150-157.
DOI:    Published online December 31, 1991.
Morbidity pattern of residents in urban poor area by health screening.
Chang Yoon Kim, Jun Sakong, Seok Beom Kim, Pock Soo Kang, Jong Hak Chung
The purpose of this study was to assess the morbidity pattern of urban residents in the poor area by health screening for the community diagnosis. The items of health screening were history taking and physical examination by medical doctor and hearing test, check blood pressure, test for hematocrit, liver function (sGOT, sGPT), urine sugar and protein, and chest X-ray. The examinee in health screening were 437 persons and they occupied 16.9% of total residents in the poor area. Male examinee were 129 persons (9.9% of total residents) and female examinee were 308 persons (23.9% of total residents). Age group of above sixty years old, 42.0% of total residents in the poor area were participated, but only 5.9% were participated in age group of 10 to 19 years old. Among the 437 examinee, 191 persons (43.7%) had one or more abnormal findings in health screening. In male 38.7% had abnormal findings, and somewhat lower than that of female (45.8%). Age group of above sixty years had most high rate of abnormal findings (69.8%), in contrast to age group of 10 to 19 years old (10.9%). Diseases of the digestive system was the most common and which occupies 23.7% of total abnormal findings. And diseases of the circulatory system occupied 19.7%. Low hematocrit (14.6% of total participants of 437 persons) occupies the most common abnormal findings for screening test (hematocrit, blood pressure, hearing test, sGOT/sGPT, urine protein and urine sugar, chest X-ray) and high blood pressure (10.1%) occupied second, third; hearing impairment (5.5%), fourth; abnormal liver function (4.1%), fifth; sugar in urine (2.3%), sixth; protein in urine (1.4%) and lastly abnormal chest X-ray (0.9%). The positive rate of abnormal findings in health screening was very high compared with morbidity rate by health interview. It is supposed that some portion of this high rate is by selection bias in examinee in health screening specially high participating rate in older age, and the other portion is due to the low socioeconomic status and bad environment of the residents of the poor area. These findings will be good information for the research and development of health care system in the urban poor area.
Key Words: Health screening, Morbidity pattern, Residents in urban poor area


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