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Korean Journal of Preventive Medicine 2002;35(3): 263-268.
Estimation of Joint Risks for Developing Uterine Cervix Cancer in Korea.
Hachung Yoon, Aesun Shin, Sue Kyung Park, Myung Jin Jang, Keun Young Yoo
1Department of Preventive Medicine, Seoul National University College of Medicine, Korea.
2Department of Preventive Medicine, KonKuk University College of Medicine, Korea.
3Depatment of Statistics, Seoul National University, Korea.
ABSTRACT
OBJECTIVE: This study was aiming at estimating the joint effects of various risk factors associated with uterine cervix cancer in Korea. METHODS: Data obtained from a case-control study were analyzed with a multiplicative model. RESULTS: After adjustment for age and husband's educational attainments, the family history of cervical cancer (OR=2.1, 95% CI=1.2-3.9), unstable marital status due to separation, by death or divorce, etc. (OR=2.8, 95% CI=1.7-4.6), and a large number of deliveries (> or = 3 vs. nulliparous OR=6.5, 95% CI=1.4-29.9) increased the risk of uterine cervix cancer. Conversely, first sexual intercourse at an older age (> or = 25 years vs. <19 years OR=0.4, 95% CI=0.2-0.6) and husband's circumcision (OR=0.7, 95% CI=0.5-1.0) decreased the risk. In the multiplicative model, the highest joint risk (OR=39.2, 95% CI 5.9-258.9) was observed in women with a family history of uterine cervical cancer, an unstable marital status, where the ex-husband was not circumcised, with 3 or more delivery experiences, and having her first sexual intercourse when younger than 19 years of age. However, women without a family history of uterine cervix cancer, married to a circumcised husband, having had her first sexual intercourse at 25 years or older, and nulliparous, showed the lowest joint effect (OR=0.3, 95% CI=0.1-0.5). CONCLUSION: As carcinogenesis is a complex action involving various factors, we consider a joint effects approach to be appropriate in an epidemiological study on risk factors for uterine cervix neoplasms.cervix neoplasm.
Key words: Cervix neoplasms; Risk factors; Statistical model
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