Evidence map›Paper›PMID 32152164›Full record

ArticleBMJ open2020

Estimating expected life-years and risk factor associations with mortality in Finland: cohort study.

Tommi Härkänen, Kari Kuulasmaa, Laura Sares-Jäske, Pekka Jousilahti, Markku Peltonen, Katja Borodulin, Paul Knekt, Seppo Koskinen

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Tommi HärkänenPublic Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland tommi.harkanen@thl.fi.ORCID 0000-0002-4577-1808
Kari KuulasmaaPublic Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.
Laura Sares-JäskePublic Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.
Pekka JousilahtiPublic Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.
Markku PeltonenPublic Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.
Katja BorodulinPublic Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.
Paul KnektPublic Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.
Seppo KoskinenPublic Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.
Finnish Institute for Health and Welfare · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a tool to inform individuals and general practitioners about benefits of lifestyle changes by providing estimates of the expected age of death (EAD) for different risk factor values, and for those who plan and decide on preventive activities and health services at population level, to calculate potential need for these.

designProspective cohort study to estimate EAD using a model with 27 established risk factors, categorised into four groups: (1) sociodemographic background and medical history, (2) lifestyles, (3) life satisfaction, and (4) biological risk factors. We apply a Poisson regression model on the survival data split into 1-year intervals.

participantsTotal of 38 549 participants aged 25-74 years at baseline of the National FINRISK Study between 1987 and 2007. PRIMARY OUTCOME MEASURES: Register-based comprehensive mortality data from 1987 to 2014 with an average follow-up time of 16 years and 4310 deaths.

resultsAlmost all risk factors included in the model were statistically significantly associated with death. The largest influence on the EAD appeared to be a current heavy smoker versus a never smoker as the EAD for a 30-year-old man decreased from 86.8 years, which corresponds to the reference values of the risk factors, to 80.2 years. Diabetes decreased EAD by >6.6 years. Whole or full milk consumers had 3.4 years lower EAD compared with those consuming skimmed milk. Physically inactive men had 2.4 years lower EAD than those with high activity. Men who found their life almost unbearable due to stress had 2.8 years lower EAD.

conclusionsThe biological risk factors and lifestyles, and the factors connected with life satisfaction were clearly associated with EAD. Our model for estimating a person's EAD can be used to motivate lifestyle changes.

Indexed as

AdultAgedDiabetes MellitusDietFemaleFinlandHealthy LifestyleHumansLife ExpectancyMaleMiddle AgedMortalityPersonal SatisfactionProspective StudiesRisk FactorsSedentary Behaviorepidemiologylife expectancymultivariable prediction modelpublic healthstatistics & research methodssurvival analysis

Identifiers

PMID32152164
PMCPMC7064132
OpenAlexW3010334302

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.