Evidence map›Paper›PMID 37248482›Full record

ArticleBMC public health2023

Comparing the sociodemographic characteristics of participants and non-participants in the population-based Tromsø Study.

Chi Quynh Vo, Per-Jostein Samuelsen, Hilde Leikny Sommerseth, Torbjørn Wisløff, Tom Wilsgaard, Anne Elise Eggen

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Social inequalities in return-to-work among colorectal cancer survivors in Germany.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  5. Article
  6. Article
  7. Adherence to antihypertensive treatment in patients at a tertiary hospital in Lima, Peru.Revista peruana de medicina experimental y salud publica · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Factors associated with non-participation in the Healthy Cognitive Ageing Project.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  18. Valuation of the EQ-5D-3L in Jordan.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  19. Article
  20. 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

6 authors.

Chi Quynh VoDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037, Tromsø, Norway. chi.q.vo@uit.no.ORCID 0000-0003-3988-5726
Per-Jostein SamuelsenDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037, Tromsø, Norway.
Hilde Leikny SommersethThe Norwegian Historical Data Centre, Department of Archaeology, History, Religious Studies and Theology, UiT The Arctic University of Norway, Tromsø, Norway.
Torbjørn WisløffHealth Services Research Unit, Akershus University Hospital, Lørenskog, Norway.
Tom WilsgaardDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037, Tromsø, Norway.
Anne Elise EggenDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037, Tromsø, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferences in the sociodemographic characteristics of participants and non-participants in population-based studies may introduce bias and reduce the generalizability of research findings. This study aimed to compare the sociodemographic characteristics of participants and non-participants of the seventh survey of the Tromsø Study (Tromsø7, 2015-16), a population-based health survey.

methodsA total of 32,591 individuals were invited to Tromsø7. We compared the sociodemographic characteristics of participants and non-participants by linking the Tromsø7 invitation file to Statistics Norway, and explored the association between these characteristics and participation using logistic regression. Furthermore, we created a geographical socioeconomic status (area SES) index (low-SES, medium-SES, and high-SES area) based on individual educational level, individual income, total household income, and residential ownership status. We then mapped the relationship between area SES and participation in Tromsø7.

resultsMen, people aged 40-49 and 80-89 years, those who were unmarried, widowed, separated/divorced, born outside of Norway, had lower education, had lower income, were residential renters, and lived in a low-SES area had a lower probability of participation in Tromsø7.

conclusionsSociodemographic differences in participation must be considered to avoid biased estimates in research based on population-based studies, especially when the relationship between SES and health is being explored. Particular attention should be paid to the recruitment of groups with lower SES to population-based studies.

Indexed as

IncomeSocial ClassEducational StatusHealth SurveysHumansMaleSocioeconomic FactorsSurveys and QuestionnairesArea socioeconomic statusEpidemiological studiesSociodemographic characteristicsSurvey

Identifiers

PMID37248482
PMCPMC10226228

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.