Breast Cancer Risk: Perception vs. Reality
Study: Nearly 90% of Women Overestimate Breast Cancer Risk
WebMD News Archive
June 8, 2005 -- There is no denying that
poses a significant threat to women, but new research shows that the threat is not nearly as great as most women perceive it to be.
The numbers are frightening. The American Cancer Society estimates that about 211,000 women will be diagnosed with invasive breast cancer in 2005 and just over 40,000 will die of the disease.
When asked to estimate the average lifetime chance of developing breast cancer, nine out of 10 women overestimated the risk. In a new study, the average woman guessed that the risk was three times higher than it actually was.
The study was conducted by researchers from the University of Michigan Health System and was published in the June issue of the journal Patient Education and Counseling.
"Breast cancer is so commonly in the news, and most of us can think of friends or relatives who have been diagnosed with it. That leads us to overestimate how common it really is," says study researcher Peter Ubel, MD, who directs the University of Michigan Center for Behavioral and Decision Sciences in Medicine.
"We forget that we know a lot of people with breast cancer because we know a lot of people."
Roughly one in eight women will eventually develop breast cancer. In other words, a woman has a 13% chance of developing breast cancer at some point during her life.
When Ubel and colleagues asked 178 women to estimate the average woman's lifetime breast cancer risk, 89% overestimated. On average they thought a woman's chance of getting breast cancer was close to 50%.
The women were then counseled about their actual
Researchers asked the women how anxious or relieved the medical counseling made them, and whether they thought a 13% lifetime risk was high or low.
"After estimating that 46% of women will be diagnosed with breast cancer, when they find out it's actually 13%, that seems relatively low and women feel a sense of relief," says Angela Fagerlin, PhD, who led the research team.