Evidence map›Paper›PMID 37173795›Full record

ArticleBMC psychology2023

Evaluating the psychometric properties of the fatigue severity scale using item response theory.

Seiji Muranaka, Haruo Fujino, Osamu Imura

Abstract read
In one paragraph

Article in BMC psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. The Regulatory Effect of Physical Activity on Perceived Fatigue from Digital Technology Use in Schools.Health education & behavior : the official publication of the Society for Public Health Education · 2026
    Article
  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

3 authors.

Seiji MuranakaGraduate School of Human Sciences, Osaka University, 1-2 Yamadaoka, Suita, 565-0871, Osaka, Japan. s.muranaka624@gmail.com.
Haruo FujinoUnited Graduate School of Child Development, Osaka University, Suita, Japan.
Osamu ImuraFaculty of Social Studies, Nara University, Nara, Japan.

Funding

Japan Agency for Medical Research and Development 21ek0109474h0002Japan Society for the Promotion of Science 19K03314
6 · The paper itself

Abstract

backgroundFatigue is a common daily experience and a symptom of various disorders. While scholars have discussed the use of the Fatigue Severity Scale (FSS) using item response theory (IRT), the characteristics of the Japanese version are not yet examined. This study evaluated the psychometric properties of the FSS using IRT and assessed its reliability and concurrent validity with a general sample in Japan. METHODS AND MEASURES: A total of 1,007 Japanese individuals participated in an online survey, with 692 of them providing valid data. Of these, 125 participants partook in a re-test after approximately 18 days and had their longitudinal data analyzed. In addition, the graded response model (GRM) was used to assess the FSS items' characteristics.

resultsThe GRM's results recommended using seven items and a 6-point scale. The FSS's reliability was acceptable. Furthermore, the validity was adequate from the results of correlation and regression analyses. The synchronous effects models demonstrated that the Multidimensional Fatigue Inventory (MFI) enhanced depression, and depression enhanced FSS.

conclusionThis study suggested that the Japanese version of the FSS should be a 7-item scale with a 6-point response scale. Further investigations may reveal the different aspects of fatigue assessed by the analyzed fatigue measures.

Indexed as

FatigueHumansJapanPsychometricsReproducibility of ResultsSurveys and QuestionnairesDepressionFatigueGraded response modelItem response theorySleepStress

Identifiers

PMID37173795
PMCPMC10177705

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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.