scholarly journals Evaluation of the psychometric properties and the clinical feasibility of a Chinese version of the Doloplus-2 scale among cognitively impaired older people with communication difficulty

2010 ◽  
Vol 47 (1) ◽  
pp. 78-88 ◽  
Author(s):  
Yi-Heng Chen ◽  
Li-Chan Lin ◽  
Roger Watson
Keyword(s):  
Older People ◽  
Psychometric Properties ◽  
Chinese Version ◽  
Cognitively Impaired

Application of the Geriatric Anxiety Inventory-Chinese Version (GAI-CV) to older people in Beijing communities

2013 ◽  
Vol 26 (3) ◽  
pp. 517-523 ◽  
Author(s):  
Yue Yan ◽  
Tao Xin ◽  
Dahua Wang ◽  
Dan Tang
Keyword(s):  
Older Adults ◽  
Older People ◽  
Psychometric Properties ◽  
The Elderly ◽  
Chinese Version ◽  
Or Education ◽  
Related Factors ◽  
Elderly Chinese ◽  
Good Internal Consistency ◽  
High Level

ABSTRACTBackground:The Geriatric Anxiety Inventory (GAI) was developed to assess anxiety in older adults. The objectives of this work were as follows: (a) to analyze the psychometric properties of the Chinese version of the GAI (GAI-CV), and (b) to explore the extent of anxiety and related factors in the elderly Chinese residents of Beijing.Methods:Participants in this study included 1,047 people (59.4% female) more than 60 years old who were living in the community. They were randomly selected from 15 communities in Beijing. Basic information was collected. Anxiety was measured using the GAI-CV, the Self-Rating Anxiety Scale (SAS), and the Beck Anxiety Inventory (BAI).Results:The GAI-CV exhibited good internal consistency (Cronbach's α = 0.94) and demonstrated good concurrent validity against the SAS (r = 0.52, p = 0.018) and the BAI (r = 0.560, p = 0.000). Item response theory (IRT) analyses showed that the items of the GAI-CV exhibited high difficulty (0.97–2) and discrimination parameters (1.91–5.33). The items exhibited information parameters greater than 1.25 with the exceptions of items 2, 12, and 18. The GAI-CV scores were significantly associated with gender, age, and chronic disease. However, no significant differences due to marriage or education were found.Conclusions:The GAI is a new scale that was specifically designed to measure anxiety in older people. The results of this study suggest that the GAI-CV had good psychometric properties, but some items need to be modified. IRT analyses indicated that the GAI-CV provided good measures of anxiety across the moderately high to very high levels. The GAI-CV may be a useful instrument for further research studies aimed at analyzing high-level anxiety among older adults in China.

Testing the psychometric properties of the Chinese version of the Neurological Fatigue Index-Stroke

2021 ◽  
pp. 026921552110016
Author(s):  
Lily YW Ho ◽  
Claudia KY Lai ◽  
Shamay SM Ng
Keyword(s):  
Older People ◽  
Psychometric Properties ◽  
Self Efficacy ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Weighted Kappa ◽  
Chinese Version ◽  
Stroke Survivors ◽  
Fatigue Index ◽  
Index Stroke

Objective: To test the psychometric properties of a Chinese version of the Neurological Fatigue Index-Stroke (C-NFI-Stroke) in stroke survivors. Design: This was a validation study. Cross-cultural adaptation of the scale was conducted according to standard guidelines. Reliability, validity, responsiveness, and interpretability were measured. Setting: Self-help groups and a community center. Subjects: One hundred and twelve Chinese stroke survivors and 65 healthy Chinese older people living in the community. Interventions: Not applicable. Main measures: The C-NFI-Stroke, Fatigue Severity Scale, Mental Fatigue Scale, General Self-Efficacy Scale, and Geriatric Depression Scale were used. Results: Cronbach’s α coefficients were 0.69–0.88; the item-level agreement was 70.4%–88.9%; the weighted Kappa value was 0.47–0.79; and the intra-class correlation coefficients were 0.88–0.93. The C-NFI-Stroke had no ceiling and floor effects. It had good content validity and had two factors, “lack of energy” and “tiredness/weakness.” The confirmatory factor analysis showed a good fit to the model. The C-NFI-Stroke significantly correlated with existing fatigue scales ( rs = 0.55–0.63), self-efficacy ( rs = −0.31 to −0.37), and depressive symptoms ( rs = 0.53–0.60). The C-NFI-Stroke could discern differences between stroke survivors and healthy older people. Conclusions: The C-NFI-Stroke is a reliable and valid tool for clinical and research use on people who have been diagnosed with stroke for a year or more, although its factor structure differs from that of the original English version.

scholarly journals Psychometric properties and correlates of Chinese version of Perceived Stress Scale (CPSS-10) in people with common mental disorders with different employment Statuses

2021 ◽  
pp. 156918612110323
Author(s):  
Sam Shih ◽  
Ashley Chan ◽  
Eva Yeung ◽  
Amily Tsang ◽  
Rose Chiu ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Psychometric Properties ◽  
Perceived Stress ◽  
Internal Consistency ◽  
Assessment Tool ◽  
Common Mental Disorders ◽  
Linear Regression Analysis ◽  
Chinese Version ◽  
Perceived Stress Scale ◽  
Stress Scale

Background/objectives Several studies have indicated that stress is associated with common mental disorders, and work stress trebles the risk of developing them. However, a validated assessment tool for measuring and establishing psychological stress correlates in this group of clients remains unavailable. The objectives of the present study were to examine the psychometric properties of the Chinese version of the Perceived Stress Scale-10 (CPSS-10) on people with common mental disorders with different employment statuses and explore its correlates. Methods Two hundred and fifty-two participants with common mental disorders were recruited. The data were analysed through exploratory factor and confirmatory analyses to investigate construct validity. The convergent and discriminant validities were examined based on their correlation with other measures, while the internal consistency was estimated using Cronbach’s α coefficient. A t-test was used to detect differences between groups. The CPSS-10 correlates were explored using multiple linear regression analysis. Results Principal component analysis with varimax rotation yielded two factors, which accounted for 63.82% of the total variance, while confirmatory factor analysis confirmed its factor structure. The CPSS-10 had a positively moderate to strong correlation with other measures, thereby indicating its acceptable convergent and discriminant validities. The internal consistency ranged from acceptable to good for the two subscales and ten overall items, while the item-total correlation was adequate except for the seventh item. There were no group differences in gender nor employment status. Finally, the CPSS-10 predictors were studied. Conclusion The CPSS-10 is a reliable and valid instrument for people with common mental disorders with different employment statuses.

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