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. 2022 Apr 27;31(9):2663–2671. doi: 10.1007/s11136-022-03136-9

Table 3.

Parameter estimates of mixed models for physical component summary (PCS) fitted in four polypharmacy strata for people with stable/decrease in comorbidities over four years

No polypharmacy
N = 913
Baseline only polypharmacy
N = 87
Incident polypharmacy
N = 130
Persistent polypharmacy
N = 280
β (SE) P value 95% CI β (SE) P value 95% CI β (SE) P value 95% CI β (SE) P value 95% CI
Fixed effects
 Intercept 45.3 (0.3) < 0.001 44.7, 46.0 40.9 (1.3) < 0.001 38.3, 43.6 42.5 (1.0) < 0.001 40.6, 44.3 38.7 (0.9) < 0.001 37.0, 40.5
 Slope (per year) − 0.2 (0.1) 0.009 − 0.3, − 0.1 − 0.3 (0.2) 0.177 − 0.7, 0.1 − 0.9 (0.2) < 0.001 − 1.3, − 0.5 − 0.2 (0.2) 0.214 − 0.5, 0.1
Random effects
 Variance in intercept 55.8 (3.03) < 0.001 50.1, 62.0 84.9 (14.1) < 0.001 61.4, 117.5 83.2 (12.0) < 0.001 62.7, 110.3 70.5 (6.6) < 0.001 58.6, 84.8
 Variance in slope 0.7 (0.2) < 0.001 0.5, 1.1 0.18 (0.5) 0.696 0.001, 27.8 2.01 (0.6) 0.001 1.1, 3.7 0.4 (0.3) 0.238 0.1, 1.7

Intercepts and slopes for all models are adjusted for age, sex, education, social life, marital status, Socio-Economic Indexes for Areas decile, physical activity, smoking and alcohol intake, and baseline comorbidities; All covariates were mean centred and included as intercept and slope predictors; PCS: physical component summary; Polypharmacy defined as ≥ 5 medications. Covariate estimates are reported in Table S11