Background: Worldwide, mental well-being is a critical issue for public health, especially among medical staff; it affects professionalism, efficiency, quality of care delivery, and overall quality of life. Nevertheless, assessing mental well-being is a complex problem.
Objective: This study aimed to evaluate the psychometric properties of the Chinese-language version of the 14-item Warwick-Edinburgh Mental Well-being Scale (WEMWBS) in medical staff recruited mainly from 6 hospitals in China and provide a reliable measurement of positive mental well-being.
Methods: A cross-sectional online survey was conducted of medical staff from 15 provinces in China from May 15 to July 15, 2020. Confirmatory factor analysis (CFA) was conducted to test the structure of the Chinese WEMWBS. The Spearman correlations of the Chinese WEMWBS with the 5-item World Health Organization Well-Being Index (WHO-5) were used to evaluate convergent validity. The Cronbach α and split-half reliability (λ) represented internal consistency. A graded response model was adopted for an item response theory (IRT) analysis. We report discrimination, difficulty, item characteristic curves (ICCs), and item information curves (IICs). ICCs and IICs were used to estimate reliability and validity based on the IRT analysis.
Results: A total of 572 participants from 15 provinces in China finished the Chinese WEMWBS. The CFA showed that the 1D model was satisfactory and internal consistency reliability was excellent, with α=.965 and λ=0.947, while the item-scale correlation coefficients ranged from r=0.727 to r=0.900. The correlation coefficient between the Chinese WEMWBS and the WHO-5 was significant, at r=0.746. The average variance extraction value was 0.656, and the composite reliability value was 0.964, with good aggregation validity. The discrimination of the Chinese WEMWBS items ranged from 2.026 to 5.098. The ICCs illustrated that the orders of the category thresholds for the 14 items were satisfactory.
Conclusions: The Chinese WEMWBS showed good psychometric properties and can measure well-being in medical staff.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752453 | PMC |
http://dx.doi.org/10.2196/38108 | DOI Listing |
Digit Health
October 2024
Chinese Academy of Medical Sciences & Peking Union Medical College, School of Population Medicine and Public Health, Beijing, China.
Introduction: The mental health of university students is influenced by a variety of factors, including self-esteem and personality traits, with resilience playing a crucial role in mediating and moderating these relationships. This study investigates the intricate dynamics affecting mental well-being in Chinese university students, focusing on the roles of self-esteem, personality traits, and the interventional effects of resilience.
Methods: A cross-sectional survey was conducted with 689 students, aged on average 20.
Sci Rep
March 2024
Reward, Competition, and Social Neuroscience Lab, Department of Psychology, School of Social and Behavioral Sciences, Nanjing University, Nanjing, 210023, China.
This study examined the psychometric properties of the Chinese version of the Multidimensional Competitive Orientation Inventory (Ch-MCOI) in adults from Mainland China. A total of 1121 participants (50.6% male; M = 28.
View Article and Find Full Text PDFJ Med Internet Res
November 2022
Oncology Department, Second Affiliated Hospital of Wenzhou Medical University, Whenzhou, China.
Background: Worldwide, mental well-being is a critical issue for public health, especially among medical staff; it affects professionalism, efficiency, quality of care delivery, and overall quality of life. Nevertheless, assessing mental well-being is a complex problem.
Objective: This study aimed to evaluate the psychometric properties of the Chinese-language version of the 14-item Warwick-Edinburgh Mental Well-being Scale (WEMWBS) in medical staff recruited mainly from 6 hospitals in China and provide a reliable measurement of positive mental well-being.
J Affect Disord
October 2022
Department of Psychiatry, Affliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China; Mental Health Research Center, Zigong Institute of Brain Science, Zigong, Sichuan Province, China; Institute of cardiovascular research, Southwest Medical University, Luzhou, Sichuan Province, China; Central Nervous System Drug Key Laboratory of Sichuan Province, Luzhou, Sichuan Province, China. Electronic address:
Background: Internet addiction of adolescents has aroused social concern recently. The present study aims to identify predicting factors of internet addiction on adolescents.
Methods: The demographic characteristics and psychological characteristics of 50, 855 middle school students were investigated through Internet Gaming Disorder Scale- Short Form(IGDS9-SF), Smartphone Application-Based Addiction Scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), Strengths and Difficulties Questionnaire-students (SDQS), 16-Item Version of the Prodromal Questionnaire (PQ-16), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder 7-item (GAD-7), Multidimensional Peer Victimization Scale (MPVS), Warwick-Edinburgh Mental Well-being Scale (WEMWBS), and Connor-Davidson Resilience Scale (CD-RISC10) were used to analyze factors associated with internet addiction by Pearson correlation coefficient and multiple hierarchical regression.
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