Evidence map›Paper›PMID 27496144›Full record

ArticleBMC medical informatics and decision making2016

How old are you, really? Communicating chronic risk through 'effective age' of your body and organs.

David Spiegelhalter

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

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  13. Biological age calculators to motivate lifestyle change: Environmental scan of online tools and evaluation of behaviour change techniques.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2023
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  20. A Biomarker-based Biological Age in UK Biobank: Composition and Prediction of Mortality and Hospital Admissions.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

David SpiegelhalterWinton Professor for the Public Understanding of Risk, Statistical Laboratory, Centre for Mathematical Sciences, Wilberforce Road, Cambridge, CB3 0WB, UK. david@statslab.cam.ac.uk.ORCID 0000-0001-6745-2819

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In communicating chronic risks, there is increasing use of a metaphor that can be termed 'effective-age': the age of a 'healthy' person who has the same risk profile as the individual in question. Popular measures include 'real-age', 'heart-age', 'lung-age' and so on.Here we formally define this concept, and illustrate its use in a variety of areas. We explore conditions under which the years lost or gained that are associated with exposure to risk factors depends neither on current chronological age, nor the period over which the risk is defined. These conditions generally hold for all-cause adult mortality, which enables a simple and vivid translation from hazard-ratios to years lost or gained off chronological age. Finally we consider the attractiveness and impact of this concept.Under reasonable assumptions, the risks associated with specific behaviours can be expressed in terms of years gained or lost off your effective age. The idea of effective age appears a useful and attractive metaphor to vividly communicate risks to individuals.

Indexed as

Health BehaviorHealth CommunicationRisk AssessmentAge FactorsHumansHazard ratioHeart ageLung ageReal ageRisk communication

Identifiers

PMID27496144
PMCPMC4974726

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.