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. 2021 Apr 15;17(8):1307–1316. doi: 10.1002/alz.12297

TABLE 4.

Probability of having a positive pre‐screening according to individual characteristics

Positive (n = 547) Negative (n = 940)
N % N % OR (95% CI) P
Age
65–69 years a 274 50.1 536 57.0 1
70–74 years 141 25.8 233 24.8 1.12 (0.86–1.46) .39
75–79 years 92 16.8 113 12.0 1.51 (1.10–2.08) .01
80–85 years 40 7.3 58 6.2 1.15 (0.74–1.79) .55
Sex
Femalea 310 56.7 572 60.9 1
Male 237 43.3 368 39.1 1.22 (0.97–1.53) .08
Education
Primary or lessa 144 26.3 153 16.3 1
Secondary 227 41.5 379 40.3 0.70 (0.52–0.95) .02
Undergraduate 116 21.2 263 28.0 0.52 (0.37–0.73) <.01
Postgraduate 60 11.0 145 15.4 0.48 (0.33–0.72) <.01
Traffic
Unpaid sourcesa 219 40.0 437 46.5 1
Google Display 176 32.2 299 31.8 1.33 (0.91–1.94) .14
Adwords 88 16.1 106 11.3 1.40 (0.94–2.10) .10
Facebook 64 11.7 98 10.4 0.99 (0.65–1.50) .95
Country
Sloveniaa 225 41.1 428 45.5 1
Spain 191 34.9 337 35.9 0.83 (0.57–1.21) .33
Sweden 43 7.9 82 8.7 0.82 (0.51–1.31) .41
Netherlands 74 13.5 66 7.0 1.47 (0.92–2.37) .11
Germany 14 2.6 27 2.9 0.95 (0.46–1.93) .88

Notes: Odds ratios (OR) and 95% confidence interval (CI) estimates adjusted for all variables in the table using an unconditional logistic regression model.

a

Reference category.