Troubled by Ubble

Mhairi Mackenzie, Chik Collins, Gerry McCartney, Marjorie McCrory, Sharon Wright

Research output: Contribution to journalLetter

Abstract

In their Article (Aug 8, p 533), Andrea Ganna and Erik Ingelsson provided a model to predict premature mortality. Using UK Biobank data, the authors developed a question set that claimed to predict the likelihood of an individual (aged 40–70 years) dying within 5 years. A so-called death quiz storm has ensued on social media. Leaving aside data concerns,2 we query the purpose of turning a predictive population model into a so-called trendable, individualised quiz. We also raise the implications for how, in this case, premature mortality is being represented to the public.
Original languageEnglish
Pages (from-to)2055-2055
JournalThe Lancet
Volume386
Issue number10008
DOIs
Publication statusPublished - 21 Nov 2015

Cite this

Mackenzie, M., Collins, C., McCartney, G., McCrory, M., & Wright, S. (2015). Troubled by Ubble. The Lancet, 386(10008), 2055-2055. https://doi.org/10.1016/S0140-6736(15)00970-8
Mackenzie, Mhairi ; Collins, Chik ; McCartney, Gerry ; McCrory, Marjorie ; Wright, Sharon. / Troubled by Ubble. In: The Lancet. 2015 ; Vol. 386, No. 10008. pp. 2055-2055.
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Mackenzie, M, Collins, C, McCartney, G, McCrory, M & Wright, S 2015, 'Troubled by Ubble' The Lancet, vol. 386, no. 10008, pp. 2055-2055. https://doi.org/10.1016/S0140-6736(15)00970-8

Troubled by Ubble. / Mackenzie, Mhairi; Collins, Chik; McCartney, Gerry; McCrory, Marjorie; Wright, Sharon.

In: The Lancet, Vol. 386, No. 10008, 21.11.2015, p. 2055-2055.

Research output: Contribution to journalLetter

TY - JOUR

T1 - Troubled by Ubble

AU - Mackenzie, Mhairi

AU - Collins, Chik

AU - McCartney, Gerry

AU - McCrory, Marjorie

AU - Wright, Sharon

PY - 2015/11/21

Y1 - 2015/11/21

N2 - In their Article (Aug 8, p 533), Andrea Ganna and Erik Ingelsson provided a model to predict premature mortality. Using UK Biobank data, the authors developed a question set that claimed to predict the likelihood of an individual (aged 40–70 years) dying within 5 years. A so-called death quiz storm has ensued on social media. Leaving aside data concerns,2 we query the purpose of turning a predictive population model into a so-called trendable, individualised quiz. We also raise the implications for how, in this case, premature mortality is being represented to the public.

AB - In their Article (Aug 8, p 533), Andrea Ganna and Erik Ingelsson provided a model to predict premature mortality. Using UK Biobank data, the authors developed a question set that claimed to predict the likelihood of an individual (aged 40–70 years) dying within 5 years. A so-called death quiz storm has ensued on social media. Leaving aside data concerns,2 we query the purpose of turning a predictive population model into a so-called trendable, individualised quiz. We also raise the implications for how, in this case, premature mortality is being represented to the public.

U2 - 10.1016/S0140-6736(15)00970-8

DO - 10.1016/S0140-6736(15)00970-8

M3 - Letter

VL - 386

SP - 2055

EP - 2055

JO - The Lancet

JF - The Lancet

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IS - 10008

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Mackenzie M, Collins C, McCartney G, McCrory M, Wright S. Troubled by Ubble. The Lancet. 2015 Nov 21;386(10008):2055-2055. https://doi.org/10.1016/S0140-6736(15)00970-8