Anthropometric Measures and Frailty Prediction in the Elderly: An Easy-to-Use Tool
Table 3
Prognostic ability of anthropometric measures as predictors of prefrailty + frailty in older adults who were assisted at primary health care centers.
Predicted probability of anthropometric measures
Frailty
Se
Sp
PPV
NPV
Total prevalence (%)
Yes (%)
No (%)
Weight
>0.625
335 (76.8)
247 (80.2)
88 (68.8)
0.802
0.313
0.737
0.396
>0.677
233 (53.6)
183 (59.4)
50 (39.4)
0.594
0.602
0.785
0.381
>0.710
188 (43.1)
156 (50.6)
32 (25.0)
0.506
0.750
0.829
0.387
Waist circumference at midpoint 2
>0.616
303 (73.4)
229 (80.1)
74 (58.3)
0.801
0.417
0.755
0.481
>0.650
254 (61.5)
197 (68.9)
57 (44.9)
0.689
0.551
0.775
0.440
>0.668
223 (54.0)
172 (60.1)
51 (40.2)
0.601
0.600
0.771
0.400
Bicipital skinfold
>0.621
274 (71.5)
210 (77.5)
64 (57.1)
0.800
0.375
0.766
0.440
>0.688
239 (55.3)
188 (61.8)
51 (39.8)
0.618
0.602
0.786
0.399
>0.713
199 (46.1)
162 (53.3)
37 (28.9)
0.533
0.711
0.814
0.390
Sagittal abdominal diameter at umbilical level2
>0.609
294 (74.2)
216 (73.5)
78 (61.9)
0.801
0.381
0.734
0.470
>0.616
284 (71.5)
213 (78.6)
71 (56.3)
0.786
0.437
0.750
0.486
>0.663
207 (52.1)
157 (57.9)
50 (39.7)
0.579
0.603
0.758
0.400
Logistic regression model (learning sample)
>0.615
282 (71.2)
217 (80.1)
65 (52.0)
0.801
0.480
0.769
0.526
>0.648
245 (61.9)
195 (72.0)
50 (40.0)
0.720
0.600
0.795
0.496
>0.713
182 (46.0)
156 (57.6)
26 (20.8)
0.576
0.792
0.857
0.462
Logistic regression model (testing sample)
>0.615
75 (72.1)
58 (81.7)
17 (51.5)
0.817
0.485
0.773
0.551
>0.648
66 (63.5)
51 (71.8)
15 (45.5)
0.718
0.546
0.772
0.473
>0.71
49 (47.1)
38 (53.5)
11 (33.3)
0.535
0.667
0.775
0.400
Notes. Se: sensitivity; Sp: specificity; PPV: positive predictive value; NPV: negative predictive value; SeC: sensitivity ≈ 80%; SpC: specificity ≈ 60%; YiC: Youden Index. Exponent 2 means that the quadratic term of the predictor was included in the model, along with the linear term.
