AIM: The present study examines the association between parity and survival following breast cancer diagnosis. METHODS: Medical records of 4453 women diagnosed with breast cancer in Malmö, Sweden, between 1961 and 1991 were analysed. All women were followed until 31 December 2003, using the Swedish Cause-of-Death Registry. Breast cancer specific mortality rate was calculated in different levels of parity. Corresponding relative risks, with 95% confidence intervals (CI), were obtained using Cox's proportional hazards analysis. All analyses were adjusted for potential prognostic factors and stratified for age, menopausal status and diagnostic period. RESULTS: As compared to women with one child, nulliparity (RR 1.27: 95% CI 1.09-1.47), and high parity (four or more children) (1.49: 1.20-1.85) were positively associated with a high mortality from breast cancer. When adjusted for potential confounders, the association was only statistically significant for high parity (1.33: 1.07-1.66). In the analyses stratified on age and menopausal status, there was a similar positive association between high parity and breast cancer death in all strata, although only statistically significant among women older than 45 years of age or postmenopausal. Nulliparity was associated with breast cancer death in women that were younger than 45 years of age (1.28: 0.79-2.09) or premenopausal (1.30: 0.95-1.80), but these associations did not reach statistical significance. There was no association between nulliparity and breast cancer death in women older than 45 years of age or postmenopausal. All associations were similar in analyses stratified for diagnostic period. CONCLUSION: Women with four or more children have a poor breast cancer survival as compared to women with one child.
AIM: The present study examines the association between parity and survival following breast cancer diagnosis. METHODS: Medical records of 4453 women diagnosed with breast cancer in Malmö, Sweden, between 1961 and 1991 were analysed. All women were followed until 31 December 2003, using the Swedish Cause-of-Death Registry. Breast cancer specific mortality rate was calculated in different levels of parity. Corresponding relative risks, with 95% confidence intervals (CI), were obtained using Cox's proportional hazards analysis. All analyses were adjusted for potential prognostic factors and stratified for age, menopausal status and diagnostic period. RESULTS: As compared to women with one child, nulliparity (RR 1.27: 95% CI 1.09-1.47), and high parity (four or more children) (1.49: 1.20-1.85) were positively associated with a high mortality from breast cancer. When adjusted for potential confounders, the association was only statistically significant for high parity (1.33: 1.07-1.66). In the analyses stratified on age and menopausal status, there was a similar positive association between high parity and breast cancer death in all strata, although only statistically significant among women older than 45 years of age or postmenopausal. Nulliparity was associated with breast cancer death in women that were younger than 45 years of age (1.28: 0.79-2.09) or premenopausal (1.30: 0.95-1.80), but these associations did not reach statistical significance. There was no association between nulliparity and breast cancer death in women older than 45 years of age or postmenopausal. All associations were similar in analyses stratified for diagnostic period. CONCLUSION:Women with four or more children have a poor breast cancer survival as compared to women with one child.
Authors: Kelly-Anne Phillips; Roger L Milne; Dee W West; Pamela J Goodwin; Graham G Giles; Ellen T Chang; Jane C Figueiredo; Michael L Friedlander; Theresa H M Keegan; Gord Glendon; Carmel Apicella; Frances P O'Malley; Melissa C Southey; Irene L Andrulis; Esther M John; John L Hopper Journal: Cancer Epidemiol Biomarkers Prev Date: 2009-06 Impact factor: 4.254
Authors: Xuezheng Sun; Hazel B Nichols; Chiu-Kit Tse; Mary B Bell; Whitney R Robinson; Mark E Sherman; Andrew F Olshan; Melissa A Troester Journal: Cancer Epidemiol Biomarkers Prev Date: 2015-11-06 Impact factor: 4.254
Authors: Nan Song; Ji-Yeob Choi; Hyuna Sung; Sujee Jeon; Seokang Chung; Minkyo Song; Sue K Park; Wonshik Han; Jong Won Lee; Mi Kyung Kim; Keun-Young Yoo; Sei-Hyun Ahn; Dong-Young Noh; Daehee Kang Journal: PLoS One Date: 2015-04-14 Impact factor: 3.240