Android obesity at diagnosis and breast carcinoma survival - Evaluation ofthe effects of anthropometric variables at diagnosis, including body composition and body eat distribution and weight gain during life span, and survival from breast carcinoma
Nb. Kumar et al., Android obesity at diagnosis and breast carcinoma survival - Evaluation ofthe effects of anthropometric variables at diagnosis, including body composition and body eat distribution and weight gain during life span, and survival from breast carcinoma, CANCER, 88(12), 2000, pp. 2751-2757
BACKGROUND. Although a large body of research exists concerning pathologic
prognostic indicators of the rate of incidence and survival from breast car
cinoma, to the authors' knowledge very few studies have examined the effect
s of anthropometric variables such as height, obesity, weight gain in adult
hood, timing of weight gain, and body composition to survival, although the
se variables are related to the incidence rate.
METHODS. The survival status of 166 patients diagnosed with primary breast
carcinoma and followed for at least 10 years was obtained from the Cancer C
enter's registry, and significant anthropometric and other known prognostic
indicators regarding survival after diagnosis were determined by Cox propo
rtional hazards analysis.
RESULTS. Eighty-three of 166 breast carcinoma patients (50%) with up to 10
years of follow-up died of disease. Android body fat distribution, as indic
ated by a higher suprailiac:thigh ratio, was a statistically significant (P
< 0.0001) prognostic indicator for survival after controlling for stage of
disease, with a hazards ratio of 2.6 (95% confidence interval [95% CI], 1.
63-4.17). Adult weight gain, as indicated specifically by weight at age 30
years, was a statistically significant (P < 0.05) prognostic indicator for
survival with a hazards ratio of 1.15 (95% CI, 1.0-1.28). Tn addition, the
authors observed the Quatelet Index, a negatively significant (P < 0.01) pr
ognostic indicator for survival with a hazards ratio of 0.92 (95% CI, 0.87-
0.98). Other markers of general obesity such as weight at diagnosis, percen
t body fat, and body surface area were not significant markers influencing
survival. Similarly, height; triceps, biceps; subscapular, suprailiac, abdo
minal, and thigh skinfolds; waist and hip circumferences; family history; a
nd reproductive and hormonal variables at the time of diagnosis showed no a
pparent significant relation to survival.
CONCLUSIONS. The results of the current study provide some evidence that an
droid body fat distribution at diagnosis and increased weight at age 30 yea
rs increases a woman's risk of dying of breast carcinoma. (C) 2000 American
Cancer Society.