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Confirmatory Factor Analysis of the Stagnation Scale—A Traditional Chinese Medicine Construct Operationalized for Mental Health Practice

Abstract

Background  

Traditional Chinese medicine stagnation (“yu”) syndrome is characterized by a cluster of mind/body obstruction-like symptoms.
Previous studies have operationalized the concept as a psychological construct through scale development, producing a three-factor
16-item inventory with good psychometric properties.

Purpose  

The study aimed to further validate the Stagnation Scale by confirmatory factor analysis (CFA) and examine self-appraisal
of stagnation as an illness.

Method  

A cross-sectional questionnaire survey was conducted on a random community sample of 755 adults recruited by cluster sampling
in Hong Kong.

Results  

CFA revealed a good fit of the three-factor model (CFI = .95; RMSEA = .077; SRMR = .043). ROC analysis suggested a cutoff
score at 50 on stagnation total score for predicting self-appraisal of an illness condition, with false positive and negative
rates at 25.8% and 23.3%, respectively. Overall, 6.2% participants self-appraised to suffer stagnation symptoms to a degree
of an illness, and for it, 1.9% participants intended to seek treatment. Stagnation showed positive correlations with physical
distress, depression, and anxiety (r = .59–.76, p < .01) and negative correlation with age (r = −.22, p < .01).

Conclusion  

The Stagnation Scale appeared to be robust in factorial and construct validity. With prevalence of illness by self-appraisal
at 6.2% and intention for treatment at 1.9%, stagnation is a fairly common condition associated with treatment-seeking behaviors.

  • Content Type Journal Article
  • Pages 1-6
  • DOI 10.1007/s12529-011-9146-9
  • Authors
    • Siu-man Ng, Department of Social Work & Social Administration and Centre on Behavioral Health, The University of Hong Kong, Pokfulam, Hong Kong SAR, People’s Republic of China
    • Ted Chun Tat Fong, Department of Social Work & Social Administration and Centre on Behavioral Health, The University of Hong Kong, Pokfulam, Hong Kong SAR, People’s Republic of China
    • Xiao-lu Wang, Department of Social Work & Social Administration and Centre on Behavioral Health, The University of Hong Kong, Pokfulam, Hong Kong SAR, People’s Republic of China
    • Yi-jie Wang, Department of Social Work & Social Administration and Centre on Behavioral Health, The University of Hong Kong, Pokfulam, Hong Kong SAR, People’s Republic of China
    • Journal International Journal of Behavioral Medicine
    • Online ISSN 1532-7558
    • Print ISSN 1070-5503
Posted in: Journal Article Abstracts on 02/02/2011 | Link to this post on IFP |
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