Evidence map›Paper›PMID 28639082›Full record

ArticleWiener klinische Wochenschrift2018

Socio-economic factors associated with the 1‑year prevalence of severe pain and pain-related sickness absence in the Austrian population.

Ellenor Mittendorfer-Rutz, Thomas Ernst Dorner

Open access · hybridAbstract read
In one paragraph

Article in Wiener klinische Wochenschrift, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. [Nomographic Model for Predicting Severe Foot Pain in Nurses from Tertiary Hospitals in China].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
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  10. Sleep quality in subjects suffering from chronic pain.Wiener klinische Wochenschrift · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. Risk factors for absenteeism due to musculoskeletal diseases in workers in the judiciary sector.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
    Article
  15. 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

2 authors at 2 institutions in 2 countries.

Ellenor Mittendorfer-RutzDepartment of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, Berzelius väg 3, 17177, Stockholm, Sweden.
Thomas Ernst DornerDepartment of Social and Preventive Medicine, Centre for Public Health, Medical University of Vienna, Kinderspitalgasse 15/I, 1090, Vienna, Austria. thomas.dorner@meduniwien.ac.at.
Karolinska Institutet · SEMedical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to (1) investigate the relation of socio-economic status (SES), measured as education, occupation, and income, with the 12-month prevalence of severe pain and with pain-related sickness absence, and (2) analyse to what extent sociodemographic and medical factors influence these associations.

methodsThe study population comprised 8084 subjects aged between 15 and 65 years from the Austrian Health Interview Survey in 2006/07. Associations of SES with the 1‑year prevalence of severe pain and sickness absence due to pain in those with severe pain was assessed with logistic regression analysis and adjusted for socio-demographic and chronic medical conditions.

resultsThe 1‑year prevalence of severe pain was 33.7%. Among those with severe pain, 32.9% were on sickness absence due to pain. SES was significantly associated with the prevalence of severe pain and even more strongly with sickness absence due to pain. Stepwise adjustment for socio-demographics and medical factors had only marginal effects on these associations. Multivariate odds ratios (ORs) for severe pain were 1.14; 1.18 and 1.32 for low income, blue-collar workers, and low education, respectively. Related ORs for sickness absence due to pain were 1.52; 1.14 and 2.05.

conclusionsThere was an association between SES, particularly measured as educational level, and the prevalence of severe pain, which was even stronger with sickness absence due to pain.

Indexed as

AbsenteeismOccupationsPainAdolescentAdultAgedAustriaFemaleHumansIncomeMaleMiddle AgedOccupational DiseasesPrevalenceSocioeconomic FactorsYoung AdultChronic mental diseasesChronic musculoskeletal diseasesPain prevalenceSickness absenceSocio-economic status

Identifiers

PMID28639082
PMCPMC5772134
OpenAlexW2708318778

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.