Table 2.
1998 (N = 17,297) | 2014 (N = 6,944) | |||
---|---|---|---|---|
Number of Classes | BIC | VLMR LR χ2, df (p) | BIC | VLMR LR χ2, df (p) |
1 | 121548.00 | – | 58440.431 | – |
2 | 117987.536 | 3409.668, 9 (< 0.001) | 57133.955 | 1216.451, 9 (<0.001) |
3 | 117818.965 | 257.036, 9 (< 0.001) | 57030.059 | 150.501, 9 (< 0.001) |
Disease | Class in 1998 | Conditional probability (p) | Class in 2014 | Conditional probability (p) |
Hypertension | MINIMAL | 0.12 (0.309) | CV-MSK | 0.43 (<0.001) |
Diabetes | DISEASE | 0.03 (0.084) | 0.08 (0.005) | |
Cancer | 0.08 (<0.001) | 0.22 (<0.001) | ||
Lung disease | 0.05 (<0.001) | 0.09 (<0.001) | ||
Heart disease | 0.07 (<0.001) | 0.17 (<0.001) | ||
Stroke | 0.01 (0.274) | 0.03 (0.001) | ||
Arthritis | 0.36 (<0.001) | 0.66 (<0.001) | ||
Depressive symptoms | 0.09 (<0.001) | 0.06 (<0.001) | ||
Hypertension | CV-MSK | 0.75 (<0.001) | CV-MSK-METAB | 0.92 (<0.001) |
Diabetes | 0.18 (0.005) | 0.42 (<0.001) | ||
Cancer | 0.10 (<0.001) | 0.20 (<0.001) | ||
Lung disease | 0.02 (0.324) | 0.04 (0.267) | ||
Heart disease | 0.19 (0.001) | 0.32 (<0.001) | ||
Stroke | 0.06 (0.05) | 0.10 (<0.001) | ||
Arthritis | 0.52 (<0.001) | 0.73 (<0.001) | ||
Depressive symptoms | 0.12 (<0.001) | 0.05 (<0.001) | ||
Hypertension | CV-MSK-MENTAL | 0.71 (<0.001) | MULTISYSTEM | 0.92 (<0.001) |
Diabetes | 0.29 (<0.001) | 0.40 (<0.001) | ||
Cancer | 0.17 (<0.001) | 0.27 (<0.001) | ||
Lung disease | 0.26 (<0.001) | 0.32 (<0.001) | ||
Heart disease | 0.60 (<0.001) | 0.70 (<0.001) | ||
Stroke | 0.19 (<0.001) | 0.24 (<0.001) | ||
Arthritis | 0.80 (<0.001) | 0.95 (<0.001) | ||
Depressive symptoms | 0.36 (<0.001) | 0.28 (<0.001) |
Abbreviations: BIC = Bayesian Information Criteria, VLMR LR = Vuong-Lo-Mendell-Rubin likelihood ratio test, df = degrees of freedom; CV-MSK = Cardiovascular-Musculoskeletal; CV-MSK-MENTAL = Cardiovascular-Musculoskeletal-Mental; CV-MSK-METAB = Cardiovascular-Musculoskeletal-Metabolic. Notes: p-values based on bootstrapped VLMR test, which is supported by simulation work showing better performance at class comparison test and was used without complex sampling design adjustments because these are not available for these tests.