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. 2016 Jun 4;14(1):5–15. doi: 10.1007/s10433-016-0381-4

Table 1.

Sample characteristics for the total sample, the subsample, and the two age groups at t 1 and t 2

t 1 t 2
Total
n = 6092
Subsamplea Total
n = 3050
Subsamplea
n = 660 40–64
n = 385
65+
n = 275
n = 313 40–64
n = 193
65+ n = 120
Age M (SD) 62.90 (11.64) 62.50 (11.39) 54.29 (5.94) 73.99 (5.97) 65.38 (10.85) 64.9 (10.30) 58.05 (5.65) 75.82 (5.53)
Gender (% female) 48.7 52.9 54.5 50.5 49.9 55.6 55.4 55.8
East–west (% east) 35.7 44.5 46.0 42.5 36.0 43.5 46.6 38.3
Employment status (% employed or looking for a job during the last 4 weeks) 38.4 31.5 50.6 4.7 37.0 31.7 50.2 2.9
Education M (SD) 2.51 (0.96) 2.43 (0.93) 2.52 (.92) 2.32 (.94) 2.64 (0.96) 2.52 (0.96) 2.60 (0.92) 2.40 (1.00)
Number of physical illnesses M (SD) 2.38 (1.84) 3.04 (1.99) 2.48 (1.78) 3.84 (2.01) 2.49 (1.84) 3.09 (1.91) 2.66 (1.73) 3.76 (1.98)

Level of education ranging from 1 (no professional training and ≤10 years of school education) to 4 (university degree); number of physical illnesses from a list of 11 illnesses

aValues in these columns refer to the subsample of participants who indicated that they had been discriminated against at t 1 (left part of the table). Subsample characteristics in the right part of the table refer to those participants who indicated that they had been discriminated against at t 1 and also participated in the study at t 2