Evidence map›Paper›PMID 37660221›Full record

ArticleScientific reports2023

Clustering and trajectories of key noncommunicable disease risk factors in Norway: the NCDNOR project.

Knut Eirik Dalene, Simon Lergenmuller, Erik R Sund, Laila A Hopstock, Trude Eid Robsahm, Yngvar Nilssen, Wenche Nystad, Inger Kristin Larsen, Inger Ariansen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-weighted citation impact, top 9% 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, 10 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

9 authors at 4 institutions in 1 country.

Knut Eirik Dalene *Department of Chronic Diseases, Norwegian Institute of Public Health, PO Box 222, 0213, Oslo, Skøyen, Norway. keda@fhi.no.ORCID http://orcid.org/0000-0002-4401-301X
Simon Lergenmuller *Department of Registration, Cancer Registry of Norway, PO Box 5313, 0304, Oslo, Majorstuen, Norway.ORCID http://orcid.org/0000-0002-7976-3881
Erik R SundDepartment of Public Health and Nursing, Norwegian University of Science and Technology, Oslo, Norway.ORCID http://orcid.org/0000-0002-0736-5139
Laila A HopstockDepartment of Health and Care Sciences, UiT The Arctic University of Norway, Oslo, Norway.ORCID http://orcid.org/0000-0003-0072-7421
Trude Eid RobsahmDepartment of Research, Cancer Registry of Norway, Oslo, Norway.ORCID http://orcid.org/0000-0002-1652-7734
Yngvar NilssenDepartment of Registration, Cancer Registry of Norway, PO Box 5313, 0304, Oslo, Majorstuen, Norway.ORCID http://orcid.org/0000-0002-3620-1555
Wenche NystadDepartment of Chronic Diseases, Norwegian Institute of Public Health, PO Box 222, 0213, Oslo, Skøyen, Norway.ORCID http://orcid.org/0000-0001-9061-6869
Inger Kristin LarsenDepartment of Registration, Cancer Registry of Norway, PO Box 5313, 0304, Oslo, Majorstuen, Norway.ORCID http://orcid.org/0000-0002-9601-5324
Inger AriansenDepartment of Chronic Diseases, Norwegian Institute of Public Health, PO Box 222, 0213, Oslo, Skøyen, Norway.ORCID http://orcid.org/0000-0001-8529-4826
Cancer Registry of Norway · NONorwegian Institute of Public Health · NONorwegian University of Science and Technology · NOUiT The Arctic University of Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noncommunicable diseases (NCDs) are a leading cause of premature death globally and have common preventable risk factors. In Norway, the NCDNOR-project aims at establishing new knowledge in the prevention of NCDs by combining information from national registries with data from population-based health studies. In the present study, we aimed to harmonize data on key NCD risk factors from the health studies, describe clustering of risk factors using intersection diagrams and latent class analysis, and identify long-term risk factor trajectories using latent class mixed models. The harmonized study sample consisted of 808,732 individuals (1,197,158 participations). Two-thirds were exposed to ≥ 1 NCD risk factor (daily smoking, physical inactivity, obesity, hypertension, hypercholesterolaemia or hypertriglyceridaemia). In individuals exposed to ≥ 2 risk factors (24%), we identified five distinct clusters, all characterized by fewer years of education and lower income compared to individuals exposed to < 2 risk factors. We identified distinct long-term trajectories of smoking intensity, leisure-time physical activity, body mass index, blood pressure, and blood lipids. Individuals in the trajectories tended to differ across sex, education, and body mass index. This provides important insights into the mechanisms by which NCD risk factors can occur and may help the development of interventions aimed at preventing NCDs.

Indexed as

Noncommunicable DiseasesCluster AnalysisHumansLatent Class AnalysisNorwayRisk Factors

Identifiers

PMID37660221
PMCPMC10475033
OpenAlexW4386387188

What OpenQuestion holds

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LicenceCC BY
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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.