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

Citation
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
Citations number
56
Categorie Soggetti
Oncology,"Onconogenesis & Cancer Research
Journal title
CANCER
ISSN journal
0008543X → ACNP
Volume
88
Issue
12
Year of publication
2000
Pages
2751 - 2757
Database
ISI
SICI code
0008-543X(20000615)88:12<2751:AOADAB>2.0.ZU;2-X
Abstract
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.