Evidence map›Paper›PMID 34589841›Full record

ArticleBrain, behavior, & immunity - health2020

Properties of the Sickness Questionnaire in an Australian sample with chronic medically unexplained symptoms.

Anna Andreasson, David McNaughton, Alissa Beath, Karin Lodin, Rikard K Wicksell, Mats Lekander, Michael P Jones

Abstract read
In one paragraph

Article in Brain, behavior, & immunity - health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

7 authors.

Anna AndreassonDepartment of Psychology, Macquarie University, Australia.
David McNaughtonDepartment of Psychology, Macquarie University, Australia.
Alissa BeathDepartment of Psychology, Macquarie University, Australia.
Karin LodinDepartment of Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden.
Rikard K WicksellDepartment of Clinical Neuroscience, Karolinska Institutet, Sweden.
Mats LekanderStress Research Institute, Stockholm University, Sweden.
Michael P JonesDepartment of Psychology, Macquarie University, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sickness behavior including malaise, fatigue and increased pain sensitivity is thought to be adaptive and facilitate recovery from disease. However, it may also reduce functioning and health if symptoms persists, which is why validated instruments for its assessment are needed. We evaluated the English translation of the Sickness Questionnaire (SicknessQ) in an Australian population of 156 participants with high level of persistent musculoskeletal pain and/or gastrointestinal symptoms without an organic explanation. The SicknessQ total score had an adequate model fit and no other models were found to fit data better. The SicknessQ correlated most strongly with fatigue, stress, anxiety and depression, which explained 62% of the variance in SicknessQ, but not with physical functioning. The mean score (8.9; 95 %CI: 8.0-9.8) was in between those previously reported in a general population sample and in primary care patients. In conclusion, the evaluation of the English version of the SicknessQ in an Australian sample with significant, chronic unexplained medical symptoms supports the use of the English version of the total SicknessQ score as an overall measure of sickness behavior.

Indexed as

Medically unexplained symptomsSickness behaviorSickness questionnaire

Identifiers

PMID34589841
PMCPMC8474179

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.