Evidence map›Paper›PMID 41627053›Full record

ArticleEuropean journal of public health2026

Assessing all-cause mortality and years of life lost associated with impaired biological health over time: the Tromsø study.

Lola Neufcourt, Cyrille Delpierre, Michelle Kelly-Irving, Erlend H Farbu, Tom Wilsgaard, Sameline Grimsgaard, David Tang, Dragana Vuckovic, Marc Chadeau-Hyam, Torkjel M Sandanger and 1 more

Abstract read
In one paragraph

Article in European journal of public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Lola NeufcourtEquity Research Team, CERPOP-UMR1295, Université de Toulouse, Inserm, Université Toulouse III Paul Sabatier, Toulouse, France.ORCID 0000-0001-6429-0551
Cyrille DelpierreEquity Research Team, CERPOP-UMR1295, Université de Toulouse, Inserm, Université Toulouse III Paul Sabatier, Toulouse, France.
Michelle Kelly-IrvingEquity Research Team, CERPOP-UMR1295, Université de Toulouse, Inserm, Université Toulouse III Paul Sabatier, Toulouse, France.
Erlend H FarbuDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.
Tom WilsgaardDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.ORCID 0000-0002-2709-9472
Sameline GrimsgaardDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.ORCID 0000-0002-0601-0344
David TangSchool of Public Health, Imperial College London, London, United Kingdom.
Dragana VuckovicSchool of Public Health, Imperial College London, London, United Kingdom.
Marc Chadeau-HyamSchool of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-8341-5436
Torkjel M SandangerDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.
Raphaële CastagnéEquity Research Team, CERPOP-UMR1295, Université de Toulouse, Inserm, Université Toulouse III Paul Sabatier, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prior research has shown that high composite biological health scores (BHS, based on the allostatic load theory of multisystem physiological dysregulation) are associated with mortality. However, most of this work remains cross-sectional and does not explore the implications of long-term biological health changes, although this is an essential perspective for a better understanding of ageing and health span. To explore the relationship between BHS-at two time points and longitudinally-and mortality, we analysed waves six (2007-08) and seven (2015-16) of the Tromsø Study linked with all-cause mortality data from the Norwegian Population Registry up to 2022. Using 10 biomarkers from 8117 individuals, we created 2-category (low/high) Tromsø6-BHS, Tromsø7-BHS, and longitudinal BHS measures. Cox proportional hazard regression analysis adjusted for confounders revealed that both higher Tromsø6-BHS and Tromsø7-BHS were significant predictors of mortality 15 and 7 years later, respectively (Tromsø6-BHS: HR = 1.20 [0.99-1.45]; Tromsø7-BHS: HR = 1.26 [1.05-1.52]), and that the 7-year mortality risk was more pronounced for the longitudinal BHS (1.30 [1.09-1.56]). Corresponding sex- and age-adjusted median survival was lowered by 0.71, 1.69, and 1.84 years in participants with a high versus low Tromsø6-BHS, Tromsø7-BHS and longitudinal-BHS, respectively. These results indicate that both historical elevations of BHS and their cumulation over time play a role in determining mortality risk. Our findings underline the importance of monitoring biological health over the life course as a preventive measure and suggest that individuals with high BHS levels may benefit from dynamic monitoring from mid-adulthood to mitigate the risk of premature mortality.

Indexed as

Health StatusLife ExpectancyMortalityAgedAged, 80 and overBiomarkersCause of DeathCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedNorwayProportional Hazards ModelsRegistriesBiomarkers

Identifiers

PMID41627053
PMCPMC13017223

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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.