Table 1.
Shopping more (n = 568) | Shopping same (n = 1,092) | Shopping less (n = 1,462) | Total sample (N = 3,122) | ||
---|---|---|---|---|---|
n (%)*; Std. Res | n (%)*; Std. Res | n (%)*; Std. Res | Statistics | N (%)* | |
Gender | |||||
Female | 387 (68.1)a; 1.2 | 623 (57.1)b; −2.9 | 990 (67.7)a; 1.7 | X2 = 38.15** df = 4 p < 0.001ɫ Cramer V = 0.08 | 2,000 (64.1) |
Male | 178 (31.3)a; −1.7 | 467 (42.8)b; 3.9 | 469 (32.1)a; −2.3 | 1,114 (35.7) | |
Other | 3 (0.5)a; 1.3 | 2 (0.2)a; −0.5 | 3 (0.2)a; −0.4 | 8 (0.3) | |
Age | |||||
18–24 years old | 85 (15.0)a; 2.1 | 131 (12.0)a,b; 0.1 | 156 (10.7)b; −1.4 | X2 = 56.05df = 10 p < 0.001ɫ Cramer V = 0.10 | 372 (11.9) |
25–34 years old | 188 (33.1)a; 2.6 | 302 (27.7)b; 0.2 | 363 (24.8)b; −1.8 | 853 (27.3) | |
35–44 years old | 132 (23.2)a; 1.0 | 232 (21.2)a; −0.1 | 303 (20.7)a; −0.5 | 667 (21.4) | |
45–54 years old | 100 (17.6)a,b; −1.0 | 192 (17.6)a; −1.4 | 314 (21.5)b; 1.8 | 606 (19.4) | |
55–64 years old | 50 (8.8)a; −3.9 | 167 (15.3)b; 0.1 | 255 (17.4)b; 2.3 | 472 (15.1) | |
>65 years old | 13 (2.3)a; −2.8 | 68 (6.2)b; 2.0 | 71 (4.9)b; 0.0 | 152 (4.9) | |
Living arrangements | |||||
Alone | 152 (26.8) | 279 (25.6) | 335 (23.1) | X2 = 21.07 df = 10 p = 0.021 | 766 (24.6) |
With partner | 178 (31.4) | 410 (37.6) | 487 (33.5) | 1,075 (34.6) | |
With children | 30 (5.3) | 40 (3.7) | 60 (4.1) | 130 (4.2) | |
With partner and children | 117 (20.6) | 216 (19.8) | 344 (23.7) | 677 (21.8) | |
With parents | 44 (7.8) | 68 (6.2) | 89 (6.1) | 201 (6.5) | |
Other forms | 46 (8.1) | 77 (7.1) | 137 (9.4) | 260 (8.4) | |
Years of schooling | |||||
<11 years | 193 (34.2)a; 1.4 | 375 (34.7)a; 2.2 | 389 (26.8)b; −2.8 | X2 = 31.24 df = 4 p < 0.001ɫ Cramer V = 0.07 | 957 (30.9) |
11 < x ≤ 13 years | 144 (25.5)a; 1.0 | 254 (23.5)a; 0.0 | 328 (22.6)a; −0.7 | 726 (23.4) | |
>13 years | 227 (40.2)a; −1.9 | 453 (41.9)a; −1.9 | 735 (50.6)b; 2.8 | 1,415 (45.7) | |
Having a systemically relevant profession*** | |||||
Yes | 231 (41.9) | 447 (42.0) | 595 (41.6) | X2 = 0.04 df = 2 p = 0.978 | 1,273 (41.8) |
No | 320 (58.1) | 618 (58.0) | 836 (58.4) | 1,774 (58.2) | |
Employment status before the lockdown | |||||
Full-time | 297 (52.4) | 593 (54.4) | 762 (52.2) | X2 = 13.52 df = 8 p = 0.095 | 1,652 (53.0) |
Part-time | 134 (23.6) | 226 (20.7) | 353 (24.2) | 713 (22.9) | |
School/university/in training | 74 (13.1) | 121 (11.1) | 153 (10.5) | 348 (11.2) | |
Not working**** | 48 (8.5) | 130 (11.9) | 149 (10.2) | 327 (10.5) | |
Other | 14(2.5) | 21 (1.9) | 43 (2.9) | 78 (2.5) | |
Changes in employment status during the lockdown | |||||
Yes | 264 (54.2)a; 2.7 | 426 (44.0)b; −0.9 | 578 (44.3)b; −0.9 | X2 = 16.42 df = 2 p < 0.001ɫ Cramer V = 0.08 | 1,268 (45.9) |
No | 223 (45.8)a; −2.5 | 543 (56.0)b; 0.8 | 728 (55.7)b; 0.8 | 1,494 (54.1) |
Sums of individual items may not be equal to totals due to rounding.
Fisher exact test.
E.g., work in the waste management industry or a hospital or a supermarket
Incl. Retired, Unemployed, Homemaker.
Significant after Bonferroni–Holm correction.
Bold values indicate significant difference.
Values with different superscripts are significantly different (post-hoc tests).