December 5, 2019

Curl up and dye

Q: Did you see that a harrowing study of 46,000 women shows hair dyes are heavily associated with cancer?

A: Harrowing?

Q: According to FastCompany.

A: That’s just the headline, though.

Q: “You know how you don’t see very old people with dyed hair? There may be a reason for that: Hair dye is heavily associated with cancer.”

A: That would be a heavy association.

Q: So is it true? There’s a link, even.

A: “We observed a 9% higher breast cancer risk for permanent dye use in all women but little to no associated risk for semipermanent or temporary dye use.”

Q: That’s… not as harrowing as I expected. Would that kill off a big fraction of hair-dye users?

A: Well, not very many men. For women the lifetime risk, which is the cumulative risk by the time you’re ‘very old’, is about 1 in 8. Increasing that by 9% would be about one extra breast cancer case per hundred hair-dye users.

Q:  So that’s not why very old people don’t use hair dye

A: There are probably other factors in play, yes.

Q: It’s just breast cancer, though. What about the effect on other cancers?

A: They didn’t look.  They mostly expected a risk on breast cancer, because of theories about ‘estrogen disruption’.

Q:  The story says the effects are bigger in Black women.

A: It looks like they probably are, though there’s a lot of uncertainty because Black women were only 10% of the study.

Q: Nothing about hair dye in men?

A: It was a study of sisters of people with breast cancer, so no men.

Q: Also too, no generalisability?

A: It’s not quite that bad, but, yes, it’s not clear how well this generalises. It could be that these women are more susceptible to hair dyes. Or not.

Q: What did previous research find?

A: It’s mixed. A big study in Black women in the 1990s didn’t find an association, but another current study did.

Q: So do we believe it?

A: We aren’t Black women who use hair dye. On several counts.

Q:

A: It certainly could be true, but the evidence isn’t overwhelming.

 

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Thomas Lumley (@tslumley) is Professor of Biostatistics at the University of Auckland. His research interests include semiparametric models, survey sampling, statistical computing, foundations of statistics, and whatever methodological problems his medical collaborators come up with. He also blogs at Biased and Inefficient See all posts by Thomas Lumley »