Table 2. Frailty Criteria Patterns and Latent Class Analysis Fit: ILAS.
Parameter estimates | Measurement items (in order): Weight loss/Exhaustion/Low activity/slowness/weakness | Observed count | Pattern frequncies expected | ||
---|---|---|---|---|---|
Criterion: No (N) or Yes (Y) | 2-Class Model | 3-Class Model | 4-Class Model | ||
6 Most frequently observed nonfrail patterns | NNNNN | 970 | 1023.7 | 1097.8 | 1066.4 |
NNYNN | 166 | 170.2 | 185.7 | 193.0 | |
NNNYN | 144 | 141.7 | 120.8 | 95.3 | |
NNNNY | 141 | 143.4 | 135.1 | 121.3 | |
NNNYY | 100 | 76.3 | 81.6 | 86.7 | |
NNYYN | 47 | 46.1 | 42.1 | 39.8 | |
6 Most frequently observed frail patterns | NNYYY | 73 | 52.2 | 58.9 | 70.1 |
NYYYY | 10 | 7.7 | 10.2 | 10.7 | |
NYNYY | 9 | 9.9 | 8.5 | 8.5 | |
NYYYN | 9 | 4.8 | 7.3 | 9.6 | |
YNNYY | 7 | 6.2 | 7.0 | 4.2 | |
NYYNY | 4 | 2.3 | 3.6 | 3.5 | |
Latent class model fit statistics | |||||
Pearson chi square | 27.7 (p < 0.0001) | 12.2 (p = 0.007) | 5.1 (p = 0.274) | ||
AIC | 6840 | 6837 | 6843 | ||
BIC | 6901 | 6930 | 6970 |
ILAS, The I-Lan Longitudinal Aging Study; AIC, Akaike Information Criterion; BIC, Bayesian Information Criterion.