Table 2.
I-ADL Type by Country | a1. Cases of I-ADL Dependence Baseline n (%) | a2. Cases of I-ADL Dependence: Follow Up n (%) | * b. Risk of Dependence in I-ADL or (95% CI) | c. Cases of I-ADL Dependence—Simulated Intervention Effect | d. Absolute Risk Reduction (c–a2, %) | f. Number Needed to ”Treat” |
---|---|---|---|---|---|---|
Germany (n = 322) | ||||||
Cooking | 56 (17.5%) | 64 (19.9%) | 1.004 (1.000 to 1.008) | 60 (18.7%) | 1.2% | 86 |
Shopping | 118 (36.8%) | 150 (46.6%) | 1.003 (1.000 to 1.007) | 143 (44.3%) | 2.2% | 45 |
Cleaning | 141 (44.1%) | 143 (44.4%) | 1.001 (0.998 to 1.005) | 141 (43.6%) | 0.8% | 130 |
Transportation | 44 (14.7%) | 80 (25.7%) | 1.005 (1.001 to 1.008) | 75 (24.0%) | 1.7% | 58 |
Sweden (n = 314) | ||||||
Cooking | 54 (17.2%) | 65 (20.7%) | 1.005 (1.002 to 1.009) | 59 (18.9%) | 1.8% | 56 |
Shopping | 64 (20.4%) | 88 (28.0%) | 1.004 (1.001 to 1.008) | 82 (26.0%) | 2.0% | 50 |
Cleaning | 95 (30.4%) | 122 (38.9%) | 1.011 (1.007 to 1.015) | 100 (32.0%) | 6.8% | 15 |
Transportation | 127 (40.4%) | 125 (39.9%) | 1.004 (1.001 to 1.007) | 117 (37.4%) | 2.5% | 39 |
* Risk of becoming dependent in I-ADL after one year is significantly associated with baseline housing accessibility except for “Cleaning” in Germany. Logistic regressions were adjusted for sex, age, and baseline I-ADL score. Note: The number of valid cases in the simulated scenario may differ slightly from the baseline scenario, as it is dependent on valid data for all variables used to calculate the odds ratios.