[Anthropometry and female breast cancer: a prospective cohort study in urban Shanghai].
OBJECTIVE
To investigate the association between anthropometry and risk of breast cancer among pre-and post-menopausal women in urban Shanghai.


METHODS
A total of 73 461 female residents aged 40 to 70 years in urban Shanghai were recruited in a prospective cohort study (the Shanghai women's health study) during 1997 through 2000, and were actively followed up biennially. During mean follow-up period of 5.66 years, 432 incident cases of breast cancer were identified in the cohort. Cox regression model was used to estimate the adjusted relative risks (RRs) and 95% confidence intervals (CIs).


RESULTS
After adjustment for some potential confounding factors, baseline weight, body mass index(BMI), waist-to-hip ratio(WHR) and weight gain since age 20 were positively associated with the increased risk of breast cancer among postmenopausal women. The positive association between height and breast cancer was found among premenopausal women. Among them, those with height taller than 161 cm at age 20 experienced 1.84 fold increased risk (95% CI: 1.30-2.61) of breast cancer compared to their counterpart with height shorter than 157.1 cm. Women who were either much heavier or lighter than average at age 20 were at reduced risk. Further analyses mutually adjusted for BMI and WHR did not substantially alter the positive association for both BMI and WHR. After further adjustment for BMI, weight gain since age 20 was significantly associated to an increased risk for postmenopausal breast cancer (RR = 1.61, 95% CI: 1.09-2.37).


CONCLUSIONS
Weight gain and central obesity seemed to be strong predictors for the risk of breast cancer among postmenopausal women. Controlling weight and decreasing fat around waist were effective means to prevent postmenopausal breast cancer and height might serve as a risk factor for premenopausal breast cancer.
Li
Hong-lan
HL
Cancer Institute of Shanghai Jiaotong Univercity and Department of Epidemiology, Shanghai Cancer Institute, Shanghai 200032, China.
Gao
Yu-tang
YT
Li
Qi
Q
Liu
Da-ke
DK
D000328:Adult; D000368:Aged; D000886:Anthropometry; D001943:Breast Neoplasms / Q000453:epidemiology*; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D008875:Middle Aged; D056128:Obesity, Abdominal; D017698:Postmenopause; D012306:Risk; D014505:Urban Population; D015430:Weight Gain