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Biomedical subjects

G Ursin

Publications and source records attributed to G Ursin.

40 records · Page 3Linked to original sources

Oral contraceptives and premenopausal bilateral breast cancer: a case-control study.

We estimated the effect of oral contraceptive (OC) use on premenopausal bilateral breast cancer in a matched case-control study. One hundred forty-four cases were identified from population-based registries of Los Angeles County, California, and of Connecticut and from the major hospitals in Montreal and Quebec City. Matched controls were the unaffected sisters of the cases. When age was included in the model, ever-use of OCs for 1 year or more was associated with an odds ratio 1.7 (95% confidence interval = 1.0-2.9). The odds ratios associated with 1-2, 3-6, and 7 years of use were 1.2 (0.61-2.4), 2.5 (1.2-5.3), and 2.0 (0.93-4.2), respectively. Too few women had used OCs before their first full-term pregnancy or before age 25 for these estimates to be informative. Restricting the analyses to women who had ever given birth yielded an odds ratio for ever-use of OCs of 2.1 (1.0-4.4). The results indicate an increased risk of premenopausal bilateral breast cancer associated with OC use.

Adult↗

Milk consumption and cancer incidence: a Norwegian prospective study.

Relationships between milk intake and cancer incidence were investigated after 11 1/2 years of follow-up of 15,914 individuals. A diagnosis of cancer was made in a total of 1,422 individuals. No association was established with total cancer incidence, in analyses adjusted for sex, age and residential characteristics. However, a strong positive association with milk consumption was observed for cancers of the lymphatic organs (odds ratio 3.4 for greater than or equal to 2 glasses per day vs less than 1; 95% confidence interval 1.4-8.2). An inverse association was found for cancer of the bladder. Kidney cancer and cancers of the female reproductive organs (except the uterine cervix) showed weak positive associations with milk intake.

Adult↗

Reproductive factors and risk of cancer of the uterine corpus: a prospective study.

Relationships between reproductive factors and risk of cancer of the uterine corpus were investigated in a prospective study of 62,079 women in Norway. A total of 420 cases were diagnosed during follow-up, from 1961 through 1980. The risk of endometrial carcinoma decreased significantly with increasing parity as well as with increasing age at first and last birth. The estimated odds ratio for women with 5 or more births versus uniparous was 0.60 in analyses with adjustment for age and residence characteristics. For first birth at age greater than or equal to 35 versus less than or equal to 19 the odds ratio was 0.48, and for last birth at age greater than or equal to 40 versus less than or equal to 24 we found an odds ratio of 0.45, in analyses with additional adjustment for parity. Significant associations were also found with age at menarche and menopause, the highest risks being observed for women with early menarche or late menopause. The different reproductive variables seemed to affect the risk of sarcomas of the uterine corpus and the risk of endometrial carcinomas in a similar way.

Adult↗

Psychological factors and self-reports of muscle pain.

Factorial analyses of subjectively felt health complaints in a population of 400 males and 74 females revealed nine orthogonal (independent) factors. One factor (Factor 4) involved pain in the neck, pain in the back, pain in arms and shoulders, and migraine. This type of complaint did not relate to anxiety and depression. The prevalence of muscle pains varied between the sexes, and the types of occupations. Shiftwork was also important. 54% of the women and 40% of the men in the total population had some forms of muscle pain, but only 8% of the women and 3% of the men felt this to be a really serious problem. Psychological factors explained only moderate amounts of variance of muscle pain when the population was taken as a whole. However, within each type of occupation, psychological factors explained a considerable amount of the variance.

Factor Analysis, Statistical↗