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. 2017 Oct 31;16(4):981–999. doi: 10.1007/s11469-017-9822-3

Table 1.

Demographic characteristics of sample 1, sample 2 and the total sample

Characteristics Sample 1 Sample 2 Total sample
(n = 290) (n = 308) (N = 598)
Gender N (%) Female 213 (73.4) 214(69.5) 427(71.4)
Age (years) [mean (SD)] 26.78 (9.9) 28.83 (11.1) 27.84 (10.6)
Place of residence N (%) Budapest 73 (25.2) 82 (26.6) 155 (25.9)
Another city 140 (48.3) 160 (51.9) 300 (50.2)
Village 77 (26.6) 65 (21.1) 142 (23.7)
Missing 0 (0) 1 (.3) 1 (.2)
Educational
attainment N (%)
Elementary school 13 (4.5) 9 (2.9) 22 (3.7)
Vocational school 34 (11.7) 36 (11.7) 70 (11.7)
High school 196 (67.6) 193 (62.7) 388 (64.9)
College. university 46 (15.9) 69 (22.4) 115 (19.2)
Missing 1 (.3) 1 (.3) 3 (.5)
Current studies N (%) No studies 89 (30.7) 113 (36.7) 202 (33.8)
Full-time education 195 (67.2) 187 (60.7) 382 (63.9)
Evening classes 2 (.7) 2 (.6) 4 (.7)
Another courses 2 (.7) 6 (1.9) 8 (1.3)
Missing 2 (.7) 0 (0) 2 (.3)
Work status N (%) Unemployed 154 (53.1) 140 (45.5) 294 (49.2)
Full-time job 92 (31.7) 118 (38.3) 210 (35.1)
Part-time job 16 (5.5) 15 (4.9) 31 (5.2)
Less than part-time job 26 (9) 35 (11.4) 61 (10.2)
Missing 2 (.7) 0 (0) 3 (.2)
Subjective SES [mean (SD)] 3.78 (.75) 3.76 (.72) 3.77 (.74)
Caffeine (mg) per day [mean (SD)] 197.1 (140.1) 224.2 (158) 211.1 (150.1)

SD standard deviation, SES socioeconomic status