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Table 4 Comparison of psychometric properties and diagnostic accuracy of the GFI-C with previously published results

From: Groningen Frailty Indicator–Chinese (GFI-C) for pre-frailty and frailty assessment among older people living in communities: psychometric properties and diagnostic accuracy

 

Results

Previous study resultsa

Reliability

 Internal consistency

Cronbach's α = 0.87

Cronbach's α = 0.68

 Stability

ICC = 0.87, p < 0.001 (95% CI = 0.78–0.92)

r = 0.939 (p < 0.001)b

Validity

 Face validity

100% acceptable

84% of older persons had no difficulty completing the GFI

 Content validity

CVI = 0.98

I-CVI = 0.83–1.0; S-CVI = 0.98 (S-CVI/UA = 0.66)c

 Criterion-related validity

r = 0.76, p < 0.001

–

 Construct validity

 1. Known-groups method

t = 8.71, p < 0.001 (95% CI = 2.95–4.52)

Statistically significant

 2. Hypothesis testing

  

  Correlation with GFI-C and AMT score

r = −0.77, p < 0.001

The correlations for the convergent (0.45–0.61) and discriminant validity (0.08–0.50) were also as hypothesised.

  Correlation with GFI-C and SBI score

r = − 0.67, p < 0.001

 3. Factor analysis

χ2/df = 2.87, TLI = 0.92,

CFI = 0.93, GFI = 0.92,

RMR = 0.014, RMSEA = 0.073

χ2 = 235.02, df = 84, (p < 0.00001), GFI = 0.98, RMR = 0.0063, RMSEA = 0.074b

Diagnostic accuracy

 Sensitivity for frailty

Cut-off value ≥3

Sensitivity = 88.2%

(95% CI: 81.8–93.0%)

Cutoff value ≥4, Sensitivity = 66%

(95% CI: 56–75%)d

 Sensitivity for pre-frailty

Cut-off value ≥2

Sensitivity = 71.5%

(95% CI: 65.9–76.6%)

Nil

 Specificity for frailty

Cut-off value ≥3

Specificity = 79.6%

(95% CI: 73.5–84.9%)

Cutoff value ≥4, Specificity = 87%

(95% CI: 76–94%)d

 Specificity for pre-frailty

Cut-off value ≥2

Sensitivity = 84.7%

(95% CI: 73.0–92.8%)

Nil

  1. CI Confidence Interval, ICC Intraclass Correlation Coefficient, I-CVI, Item-level Content Validity Index, S-CVI Scale-level Content Validity Index, TLI Tucker–Lewis Index, CFI Comparative Fit Index, GFI Goodness-of-fit Index, RMR Root Mean Square, RMSEA Root Mean Square Error of Approximation, df Degree of Freedom
  2. aPrevious study was based on Peters et al. (2012)
  3. bThis result was based on the previous study of Luh, Yu & Yang (2018)
  4. cThis result was based on the previous study of Xiang et al. (2019)
  5. dThis result was based on the previous study of Baitai et al. (2013)