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J Womens Health (Larchmt) ; 21(12): 1252-8, 2012 Dec.
Article in English | MEDLINE | ID: mdl-23075455

ABSTRACT

BACKGROUND: Complementary and alternative medicine (CAM) use is common among breast cancer survivors, but little is known about its impact on survival. METHODS: We pooled data from four studies conducted in Hawaii in 1994-2003 and linked to the Hawaii Tumor Registry to obtain long-term follow-up information. The effect of CAM use on the risk of breast cancer-specific death was evaluated using Cox regression. RESULTS: The analysis included 1443 women with a median follow-up of 11.8 years who had a primary diagnosis of in situ and invasive breast cancer. The majority were Japanese American (36.4%), followed by white (26.9%), Native Hawaiian (15.9%), other (10.6%), and Filipino (10.3%). CAM use was highest in Native Hawaiians (60.7%) and lowest in Japanese American (47.8%) women. Overall, any use of CAM was not associated with the risk of breast cancer-specific death (hazard ratio [HR] 1.47, confidence interval [CI] 0.91-2.36) or all-cause death (HR 0.82, 95% CI 0.63-1.06). However, energy medicine was associated with an increased risk of breast cancer-specific death (HR 3.19, 95% CI 1.06-8.52). When evaluating CAM use within ethnic subgroups, Filipino women who used CAM were at increased risk of breast cancer death (HR 6.84, 95% CI 1.23-38.19). CONCLUSIONS: Our findings suggest that, overall, CAM is not associated with breast cancer-specific death but that the effects of specific CAM modalities and possible differences by ethnicity should be considered in future studies.


Subject(s)
Breast Neoplasms/therapy , Cause of Death , Complementary Therapies/statistics & numerical data , Patient Acceptance of Health Care/ethnology , Survivors , Adult , Aged , Aged, 80 and over , Breast Neoplasms/ethnology , Breast Neoplasms/mortality , Confidence Intervals , Ethnicity , Female , Follow-Up Studies , Hawaii/epidemiology , Health Surveys , Humans , Middle Aged , Population Surveillance , Prevalence , Prognosis , Proportional Hazards Models , Quality of Life/psychology , Registries , Regression Analysis , Risk Factors , Surveys and Questionnaires
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