The diagnosis distribution in health examination and associated sociodemographic factors

ABSTRACT

BACKGROUND: According as people have an increased interest in early detection of disease and health promotion, people who take health examinations are increased. So this study is aimed to survey common problems about health in community and their frequency by way of investigation on diagnosis in health examination data and to evaluate the effects of health risk factors on each disease patterns. METHODS: The medical records of the clients who have taken health examinations for the first time from March 1995 to February 2000 at a health examination center of a university hospital in Seoul were reviewed. The category and number of judged diagnosis, sociodemographic factors are compared and analyzed. RESULTS: The selected medical records accounted to 22,393. The study subjects consist of 11,544(51.6%) male. Mean age is 52.0+/-10.5 years(range 16~90). Mean number of judged diagnosis is 4.04+/-2.13(range 0~9) per one person and female took more diagnosis than male on an average(4.09+/-2.17 Vs 3.99+/-2.09). The organic diagnosis(56.4%) is most in total and other diagnosis is 35.7%, functional diagnosis is 7.9%. The common diagnoses are liver disease(7.07%), decreased physical strength(6.68%), hyperlipidemia(6.53%), obesity(5.90%), osteoporosis or postmenopausal syndrome(4.72%), need for immunization against viral hepatitis(4.69%), hypertension(4.20 %), functional gastrointestinal disease(3.93%). The number of total diagnosis and organic diagnosis is larger in older age, no exercise, female, smoker, no spouse, lower education(p<0.05). The number of functional diagnosis is larger in female, younger age, non smoker, lower education(p<0.05). The number of other diagnosis is larger in no exercise, smoker, female, younger age(p<0.05). CONCLUSION: According to health examination, total diagnosis and organic diagnosis are influenced by age, exercise, sex, smoking, spouse, education, functional diagnosis is influenced by sex, age, smoking, education and other diagnosis is influenced by exercise, smoking, sex, age.