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 Wellbeing 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 difficulty 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.

Chinese cross-cultural adaptation and validation of the Well-being Numerical Rating Scales / Luo, Qing; Liu, Chunqin; Zhou, Ying; Zou, Xiaofang; Song, Liqin; Wang, Zihan; Feng, Xue; Tan, Wenying; Chen, Jiani; Smith, Graeme D.; Chiesi, Francesca. - In: FRONTIERS IN PSYCHIATRY. - ISSN 1664-0640. - ELETTRONICO. - 14:(2023), pp. 1-11. [10.3389/fpsyt.2023.1208001]

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

Chiesi, Francesca
2023

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 Wellbeing 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 difficulty 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.
2023
14
1
11
Luo, Qing; Liu, Chunqin; Zhou, Ying; Zou, Xiaofang; Song, Liqin; Wang, Zihan; Feng, Xue; Tan, Wenying; Chen, Jiani; Smith, Graeme D.; Chiesi, Francesca
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1332191
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