Evidence map›Paper›PMID 42299259›Full record

ArticleBMJ public health2026

Joint association of risk factor clustering and socioeconomic position with non-communicable disease mortality risk: a prospective cohort study of 576 299 Norwegian men and women in the NCDNOR project.

Knut Eirik Dalene, Simon Lergenmuller, Hein Stigum, Haakon Eduard Meyer, Wenche Nystad, Inger K Larsen, Erik Reidar Sund, Steinar Krokstad, Laila A Hopstock, Ulf Ekelund and 2 more

Abstract read
In one paragraph

Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Knut Eirik DaleneDepartment of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0000-0002-4401-301X
Simon LergenmullerDepartment of Registration, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.
Hein StigumDepartment of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.
Haakon Eduard MeyerDepartment of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.
Wenche NystadDepartment of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.
Inger K LarsenDepartment of Registration, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.
Erik Reidar SundDepartment of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Trøndelag, Norway.ORCID https://orcid.org/0000-0002-0736-5139
Steinar KrokstadLevanger Hospital, Levanger, Nord-Trondelag, Norway.
Laila A HopstockThe Department of Health and Care Sciences, UiT The Arctic University of Norway, Tromsø, Norway.
Ulf EkelundDepartment of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Oslo, Norway.
Lars Jøran KjerpesethDepartment of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.
Inger AriansenDepartment of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Well-known non-communicable disease (NCD) risk factors tend to cluster, forming groups with similar 'risk factor phenotypes'. However, the characterisation of such clusters and the role of socioeconomic position (SEP) in modifying their associations with NCDs still remain unclear. Methods: We utilised data on smoking, physical activity, alcohol consumption, body mass index, blood pressure, cholesterol and triglyceride from health examination surveys conducted in Norwegian adults from 1974 to 2019 (n=5 76 299; age 20-65 years; 64% participation; 52% women) linked to registry data on education, income and mortality (follow-up through 2020). We identified risk factor clusters using latent profile analyses and used flexible parametric survival models to estimate differences in mean age at NCD death across sex, different birth years and SEP (education and income levels). Results: We identified four distinct clusters containing 44% ('healthy'), 45% ('suboptimal'), 4% ('dyslipidaemics') and 7% ('hypertensives') of the study sample, respectively. During a mean follow-up of 26 years, 61 241 died from an NCD.Compared with the cluster with the healthiest profile, other clusters had markedly shorter survival across sex and different birth cohorts. However, differences were also substantially modified by SEP: we estimated that individuals with primary education or low income died several years earlier than individuals with tertiary education or high income within each of the four risk factor clusters. Conclusions: Our findings show how NCD risk factors cluster and how SEP modifies the association between this clustering and NCD mortality. The substantial influence of SEP highlights the need for public health strategies that focus not only on changing behavioural and metabolic risk factors but also on addressing socioeconomic disparities to effectively reduce the burden of NCDs.

Indexed as

Effect Modifier, EpidemiologicPreventive MedicinePrimary PreventionPublic HealthRisk Assessment

Identifiers

PMID42299259
PMCPMC13264872

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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.