Evidence map›Paper›PMID 32858852›Full record

ArticleJournal of clinical medicine2020

Socioeconomic Position, Multimorbidity and Mortality in a Population Cohort: The HUNT Study.

Kristin Hestmann Vinjerui, Johan H Bjorngaard, Steinar Krokstad, Kirsty A Douglas, Erik R Sund

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. 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
1.2field-weighted citation impact, top 20% 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, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Occupational multimorbidity in the nickel industry workers.International journal of circumpolar health · 2023
    Article
  6. Defining and measuring complex multimorbidity: a critical analysis.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

5 authors at 2 institutions in 2 countries.

Kristin Hestmann VinjeruiHUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, 7600 Levanger, Norway.ORCID 0000-0003-1828-6943
Johan H BjorngaardFaculty of Nursing and Health Sciences, Nord University-Levanger Campus, 7601 Levanger, Norway.
Steinar KrokstadHUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, 7600 Levanger, Norway.
Kirsty A DouglasAcademic Unit of General Practice, Australian National University Medical School, the Australian National University, Canberra 2600, Australian Capital Territory, Australia.ORCID 0000-0003-0174-782X
Erik R SundHUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, 7600 Levanger, Norway.ORCID 0000-0002-0736-5139
Norwegian University of Science and Technology · NOAustralian National University · AU

Funding

The Liaison Committee for Education, Research and Innovation in Central Norway (Samarbeidsorganet) 17/38297 (Dr Vinjerui)
6 · The paper itself

Abstract

Multimorbidity and socioeconomic position are independently associated with mortality. We investigated the association of occupational position and several multimorbidity measures with all-cause mortality. A cohort of people aged 35 to 75 years who participated in the Trøndelag Health Study in 2006-2008 and had occupational data was linked to the Norwegian National Population Registry for all-cause mortality from study entry until 1 February 2019. Logistic regression models for each occupational group were used to analyze associations between the number of conditions and 10-year risk of death. Cox regression models were used to examine associations between combinations of multimorbidity, occupational position, and mortality. Analyses were conducted for men and women. Included were 31,132 adults (16,950 women (54.4%)); occupational groups: high, 7501 (24.1%); low, 15,261 (49.0%)). Increased mortality was associated with lower occupational group, more chronic conditions, and all multimorbidity measures. The joint impact of occupational group and multimorbidity on mortality was greater in men than women. All multimorbidity measures are strongly associated with mortality, with varying occupational gradients. Social differences in multimorbidity are a public health challenge and necessitate consideration in health care. Men in lower occupational groups seem to be a particularly vulnerable group.

Indexed as

frailtyhealth inequalitymortalitymultimorbidityoccupationspublic healthsocioeconomic statusThe HUNT Study

Identifiers

PMID32858852
PMCPMC7563449
OpenAlexW3080353768

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.