The association of breast-cancer survival with various risk factors was investigated using data of 213 breast-cancer patients who underwent surgical operation between 1975 and 1978. They were followed-up until 1987, and a total of 64 deaths including 47 breast-cancer deaths were certified. The 5-year and 10-year relative survival rates were 78.5% and 75.3% respectively. Of the various factors investigated, some anthropometric indicators revealed interesting results; i.e., body weight, Quetelet index, and body surface area at the time of operation turned out to be strong predictors of survival with a statistically significant trend towards lower survival with larger body structure even after adjustment for confounding factors (e.g., clinical stage) using a proportional-hazard model. The estimated survival probability for women with Quetelet index of 20 was about 12% higher than that with Quetelet index of 24 over a 10-year or more follow-up period. Other variables exhibiting prognostic importance were clinical stage, TNM classification, and some histological findings, while height and reproductive life indicators were, as a rule, not significantly related to survival.

The relationship between the occurrence of breast cancer and dietary intake, in particular a high-fat diet, has attracted much attention in recent years. In addition, the prognosis of breast cancer patients on the basis of dietary intake is also an interesting subject. The present study utilized breast cancer patients whose dietary intake was carefully assessed about one decade previously in a case-control study to determine whether dietary intake was indeed related to the patients' prognosis. The study included 212 patients who underwent a surgical operation between 1975 and 1978. They were followed-up until 1987, and a total of 47 breast cancer deaths were certified. The 5- and 10-year relative survival rates were 78.5% and 75.3%, respectively. The older patients tended to ingest smaller amounts of all nutrients, except animal fat from fish. Height was significantly correlated with total animal protein intake, whereas there was no significant correlation between body mass index and intake of any nutrient. Although the age-adjusted mean values of the nutrient intakes, other than vegetable fat, decreased with advancing stage, the differences were statistically insignificant. The results of multivariate analyses, in which some confounding factors (e.g., clinical stage) were adjusted using a proportional hazards model, showed that all hazards ratios in each nutrient were close to unity, and no dose-response relationship was seen. The present investigation did not provide any support for the hypothesis that a high-fat diet is a survival determinant for breast cancer patients.(ABSTRACT TRUNCATED AT 250 WORDS)

This study was based on a case‐control study of breast cancer risk in Fukuoka, which was initiated to identify risk factors for the disease. We re‐analyzed the data of the study to evaluate the association of breast cancer with anthropometric variables in postmenopausal women. Data were obtained through interviewing 121 cases with historically confirmed breast cancer and an equal number of age‐matched hospital controls as well as neighborhood controls. The variables used for analysis were; height, weight at various ages, shoe size, and brassiere size and body size indices (body surface area and various body build indices) computed from the height and weight data. In a multiple covariance analysis, the results showed that cases were slightly lighter in weight and smaller for some of the indices, but the differences were not statistically significant. The odds ratios, estimated by multiple logistic regression analysis, suggested that the cases were slightly shorter in height and smaller in shoe size without any consistent dose‐response gradients. The effect of changes in weight and body size indices with aging were also assessed, but no significant findings were observed. The results reported here do not support the hypothesis of the positive association between obesity or large body size and breast cancer.

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