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. 2021 Mar 23;21:201. doi: 10.1186/s12877-021-02137-6

Table 5.

Comparison of random effects of the different chronic conditions on the nested models

Variance of intercept (1,1) Percentage of variance change from previous models Variance of slope (1,1) Percentage of variance change from previous models
Hypertension Model 0 8.516 0.105
Model 1 6.664 21.7 0.084 20.0
Model 2 5.968 10.4 0.081 3.6
Model 3 3.208 46.2 0.043 46.9
Heart disease Model 0 10.310 0.102
Model 1 8.214 20.3 0.077 24.5
Model 2 7.251 11.7 0.074 3.9
Model 3 4.355 39.9 0.041 44.6
Stroke Model 0 38.806 0.097
Model 1 26.718 31.1 0.080 17.5
Model 2 26.718 0.0 0.087 −8.8
Model 3 15.980 40.2 0.054 37.9
Diabetes Model 0 14.373 0.150
Model 1 11.386 20.8 0.121 19.3
Model 2 10.880 4.4 0.118 2.5
Model 3 6.172 43.3 0.053 55.1
Cancer Model 0 18.385 0.146
Model 1 12.678 31.0 0.119 18.5
Model 2 11.063 12.7 0.127 −6.7
Model 3 2.925 73.6 0.055 56.7
Lung disease Model 0 15.855 0.111
Model 1 10.276 35.2 0.065 41.4
Model 2 9.553 7.0 0.061 6.2
Model 3 3.316 65.3 0.000 100.0
Arthritis Model 0 7.907 0.084
Model 1 5.965 24.6 0.059 29.8
Model 2 5.495 7.9 0.056 5.1
Model 3 2.575 53.1 0.025 55.4

Model 0: Duration after diagnosis and (duration after diagnosis)2

Model 1: Model 0 + age at diagnosis (centered to 70 years old), gender, education level

Model 2: Model 1 + number of comorbidities over time

Model 3: Model 2 + depression status over time