Insomnia Severity Index: psychometric properties with Chinese community-dwelling older people

2010 ◽  
Vol 66 (10) ◽  
pp. 2350-2359 ◽  
Author(s):  
Doris S.F. Yu
2018 ◽  
Vol 19 (2) ◽  
pp. 238-252 ◽  
Author(s):  
Md. Dilshad Manzar ◽  
Mohammed Salahuddin ◽  
Tufail Ahmad Khan ◽  
Showkat Ahmad Shah ◽  
Majed Alamri ◽  
...  

2018 ◽  
Vol 46 (2) ◽  
pp. 209-218 ◽  
Author(s):  
Rong-Mao Lin ◽  
Shan-Shan Xie ◽  
Wen-Jing Yan ◽  
You-Wei Yan

We explored the factor structure and psychometric properties of the Insomnia Severity Index (ISI) using 3 samples totaling 2,066 Mainland Chinese undergraduates. All participants completed the ISI and Sample 2 completed 3 other related measures. Their responses were processed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and multiple group analyses. The EFA results revealed a 2-factor structure, whereas the CFA results supported a 3-factor solution, the latter of which was further confirmed by the results of multiple group analyses. The Chinese version of the ISI had a satisfactory Cronbach's alpha coefficient of internal reliability, 2-week test–retest reliability, and criterion validity. Overall, we found that the ISI is a reliable, valid, and psychometrically sound measure of insomnia for use with Mainland Chinese undergraduates.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Tianjiao Tang ◽  
Lingling Xie ◽  
Lingling Tan ◽  
Xiaoyi Hu ◽  
Ming Yang

Abstract Background Inflammatory indexes (platelet-to-lymphocyte ratio [PLR], neutrophil-to-lymphocyte ratio [NLR], and lymphocyte-to-monocyte ratio [LMR]) are recently supposed to be the biomarkers of sarcopenia. We aimed to validate the association between these inflammatory indexes and sarcopenia in Chinese community-dwelling older people. Methods We consecutively recruited community-dwelling older adults aged 60 years or older. The neutrophil, lymphocyte, monocyte, and platelet counts, and C-reactive protein (CRP) were tested using standard methods. Sarcopenia was defined according to different criteria: the Asian Working Group for Sarcopenia (AWGS), the updated version of AWGS (AWGS 2019), the European Working Group on Sarcopenia in Older People (EWGSOP), the updated version of EWGSOP (EWGSOP2), the International Working Group on Sarcopenia (IWGS), and the Foundation for the National Institutes of Health Sarcopenia Project (FNIH). Multiple logistic regression analysis was performed. Results We included 384 participants. A total of 61 participants (15.9%) were diagnosed with sarcopenia according to the AWGS criteria. There was no significant difference in PLR, NLR, LMR, and CRP between the sarcopenia group and the non-sarcopenia group regardless of the diagnostic criteria. No significant association between PLR, NLR, LMR, and AWGS-defined sarcopenia was found (PLR per 1- standard deviation [SD]: adjusted odds ratio [OR] 1.09, 95% confidence interval [CI] 0.82 to 1.45; NLR per 1-SD: adjusted OR 0.96, 95% CI 0.71 to 1.30; LMR per 1-SD: adjusted OR 1.01, 95% CI 0.74 to 1.38). Similar results were found when sarcopenia was defined by different criteria and when PLR, NLR, LMR were treated as categorical variables. Conclusions Our study did not support the utility of the inflammatory indexes (NLR, PLR, and LMR) as the biomarkers of sarcopenia in Chinese community-dwelling older people. However, considering the inflammatory indexes can be simply calculated from a routine blood test, further studies in different populations remain warranted.


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