Evidence map›Paper›PMID 37867763›Full record

ArticleFrontiers in psychiatry2023

Chinese cross-cultural adaptation and validation of the Well-being Numerical Rating Scales.

Qing Luo, Chunqin Liu, Ying Zhou, Xiaofang Zou, Liqin Song, Zihan Wang, Xue Feng, Wenying Tan, Jiani Chen, Graeme D Smith and 1 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

11 authors.

Qing LuoSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Chunqin LiuSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Ying ZhouSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Xiaofang ZouThe Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Liqin SongSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Zihan WangSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Xue FengSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Wenying TanSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Jiani ChenSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Graeme D SmithSchool of Health Sciences, Caritas Institute of Higher Education, Hong Kong SAR, China.
Francesca ChiesiDepartment of Neuroscience, Psychology, Drug, and Child's Health (NEUROFARBA), University of Florence, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Well-being is a multi-domain concept that involves measuring physical, psychological, social, and spiritual domains. However, there are currently few multi-domain and comprehensive well-being instruments available. In addition, measures that do exist customarily contain a vast number of items that may lead to boredom or fatigue in participants. The Well-being Numerical Rating Scales (WB-NRSs) offer a concise, multi-domain well-being scale. This study aimed to perform the translation, adaptation, and validation of the Chinese version of WB-NRSs (WBNRSs-CV). Methods: A total of 639 clinical participants and 542 community participants completed the WB-NRSs-CV, the Single-item Self-report Subjective Well-being Scale (SISRSWBS), the World Health Organization Five-item Well-Being Index (WHO-5), the 10-item Perceived Stress Scale (PSS-10), and the Kessler Psychological Distress Scale (K10). Results: High internal consistency and test-retest reliability were obtained for both samples. Additionally, WB-NRSs-CV was positively associated with SISRSWBS and WHO-5 and negatively associated with PSS-10 and K10. In the item response theory analysis, the model fit was adequate with the discrimination parameters ranging from 2.73 to 3.56. The diffculty parameters ranged from -3.40 to 1.71 and were evenly spaced along the trait, attesting to the appropriateness of the response categories. The invariance tests demonstrated that there was no difference in WB-NRSs-CV across groups by gender or age. Discussion: The WB-NRSs-CV was translated appropriately and cross-culturally adapted in China. It can be used as a rapid and relevant instrument to assess well-being in both clinical and non-clinical settings, with its utility for well-being measurement and management among the Chinese people.

Indexed as

classical test theoryitem response theorypsychometric evaluationreliabilitytranslationvaliditywell-being

Identifiers

PMID37867763
PMCPMC10585061

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