Evidence map›Paper›PMID 26115873›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2016

Cultural adaptation and validation of the Chinese version of the Fatigue Severity Scale in patients with major depressive disorder and nondepressive people.

Mei-Yeh Wang, I-Chao Liu, Chen-Huan Chiu, Pei-Shan Tsai

Abstract readValidation Study
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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Mei-Yeh WangDepartment of Nursing, Cardinal Tien Junior College of Healthcare and Management, New Taipei City, Taiwan.
I-Chao LiuDepartment of Psychiatry, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
Chen-Huan ChiuDepartment of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Pei-Shan TsaiSleep Science Center, Taipei Medical University Hospital, Taipei, Taiwan. ptsai@tmu.edu.tw.
Taipei Medical University · TWCardinal Tien College of Healthcare and Management · TWTaipei Medical University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aims of the study were to adapt the Fatigue Severity Scale to Chinese conditions and assess the psychometric properties of the Chinese version in patients with major depressive disorder (MDD) and nondepressive people.

methodsA total of 101 patients with MDD and 94 nondepressive persons were included in this study. A forward and backward translation procedure was performed for developing a culturally acceptable Chinese version of the Fatigue Severity Scale (CFSS). Validity was assessed according to construct validity, internal consistency, concurrent validity, divergent validity, and contrasted-group validity.

resultsThe CFSS exhibited a one-factor structure in patients with MDD and the nondepressive participants. A 7-item version of CFSS and an 8-item version of the CFSS demonstrated better model fit than the original 9-item version in the patients with MDD and the nondepressive participants, respectively. In both participant groups, internal consistency values were within acceptable ranges. In addition, concurrent validity and divergent validity were confirmed in both groups. The average CFSS score of patients with MDD was significantly higher than that of the nondepressive participants.

conclusionThe 9-item CFSS is a valid instrument for assessing fatigue-related impairment in Chinese-speaking patients with MDD. However, the two reduced-item CFSS versions showed better psychometric properties than the original version in the patients with MDD and the nondepressive participants.

Indexed as

Surveys and QuestionnairesAdolescentAdultAgedAsian PeopleChinaDiagnostic and Statistical Manual of Mental DisordersFatigueFemaleHumansMajor Depressive DisorderMaleMiddle AgedPsychometricsQuality of LifeReproducibility of ResultsDepressionFatiguePsychometric evaluationValidity

Identifiers

PMID26115873
OpenAlexW1126771041

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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.