Evidence map›Paper›PMID 37810819›Full record

ArticleHeliyon2023

The cross-cultural adaptation and psychometric properties of the menstrual symptom questionnaire (MSQ) among Chinese women of reproductive age.

Xiuxia Li, Binfeng Zhang, Peixuan Tan, Margaret A Chesney, Tingting Zhang, Guanghui Nie

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 2 countries.

Xiuxia LiGuangxi Medical University, Nanning 530021, China.
Binfeng ZhangGuangxi Medical University, Nanning 530021, China.
Peixuan TanGuangxi Medical University, Nanning 530021, China.
Margaret A ChesneyDepartment of Medicine, University of California San Francisco, San Francisco, CA 94158, USA.
Tingting ZhangGuangxi Medical University, Nanning 530021, China.
Guanghui NieGuangxi Medical University, Nanning 530021, China.
Guangxi Medical University · CNUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study reports on a translation of the Menstrual Symptom Questionnaire (MSQ) into Chinese, a cross-cultural adaptation among Chinese women of reproductive age, and an assessment of its reliability and validity. Methods: Previously published translation guidelines were followed to translate and cross-culturally adapt the English version of MSQ to produce a Chinese version. This Chinese version was then administered to 2800 Chinese women of reproductive age recruited by convenience sampling method. The reliability of the Chinese MSQ was tested for internal consistency and test-retest reliability. The concurrent and construct validity of the questionnaire was evaluated using correlation and factor analysis. Results: The Chinese version of the MSQ showed no linguistic or semantic issues. The internal consistency of the Chinese MSQ Cronbach'α = 0.912, and the test-retest reliability Conclusion: The Chinese version of the MSQ achieved semantic equivalence in translation and demonstrated good reliability and validity among Chinese women of reproductive age. Thus, it can serve as an effective tool to assess the experience of menstrual symptoms among Chinese women.

Indexed as

ChineseCross-cultural adaptationDysmenorrheaFactor analysisMenstrual symptoms

Identifiers

PMID37810819
PMCPMC10556762
OpenAlexW4387035353

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.