Troubled by Ubble

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

doi:10.1016/S0140-6736(15)00970-8

Troubled by Ubble

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

Research output: Contribution to journal › Letter › peer-review

1 Citation (Scopus)

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 language	English
Pages (from-to)	2055-2055
Journal	The Lancet
Volume	386
Issue number	10008
DOIs	https://doi.org/10.1016/S0140-6736(15)00970-8
Publication status	Published - 21 Nov 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 10 Reduced Inequalities

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10.1016/S0140-6736(15)00970-8

Marjorie McCrory
- School of Education and Social Sciences - Senior Lecturer
Person: Academic

Cite this

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title = "Troubled by Ubble",

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.",

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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

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VL - 386

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EP - 2055

JO - The Lancet

JF - The Lancet

IS - 10008

ER -

Troubled by Ubble

Abstract

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Marjorie McCrory

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