Table 6.
Reasons for changes in food intake during COVID-19 social confinement.
| Reasons for Changes in Food Intake | Total | Men | Women | p |
|---|---|---|---|---|
| % (95% CI) | % (95% CI) | % (95% CI) | ||
| Changes in shopping frequency | 34.3 (33.1, 35.5) | 34.8 (33.0, 36.6) | 33.9 (32.3, 35.6) | 0.469 |
| Changes in appetite | 19.3 (18.3, 20.3) | 18.0 (16.6, 19.4) | 20.5 (19.1, 21.9) | 0.015 |
| Changes in appetite caused by stress | 18.6 (17.6, 19.6) | 14.1 (12.9, 15.5) | 22.6 (21.1, 24.0) | <0.001 |
| Different work schedule | 17.6 (16.6, 18.6) | 19.5 (18.0, 21.0) | 15.9 (14.7, 17.2) | <0.001 |
| Changes in regular place for shopping | 10.6 (9.9, 11.4) | 10.5 (9.4, 11.7) | 10.6 (9.6, 11.7) | 0.91 |
| Concerns with the economic context | 10.3 (9.5, 11.1) | 9.9 (8.8, 11.0) | 10.6 (9.5, 11.7) | 0.391 |
| Different people at meals time | 9.7 (9.0, 10.5) | 9.8 (8.8, 11.0) | 9.7 (8.7, 10.8) | 0.873 |
| Problems with access to usually bought food | 9.1 (8.4, 9.9) | 9.5 (8.5, 10.7) | 8.7 (7.8, 9.8) | 0.311 |
| Because diet can protect against the novel coronavirus | 5.5 (5.0, 6.1) | 6.0 (5.2, 7.0) | 5.1 (4.3, 5.9) | 0.114 |
| Changes on food prices | 4.8 (4.3, 5.4) | 5.3 (4.5, 6.2) | 4.3 (3.7, 5.1) | 0.087 |
| Fear of getting infected with the novel coronavirus through food | 3.8 (3.3, 4.3) | 4.0 (3.4, 4.8) | 3.5 (2.9, 4.2) | 0.264 |
| Concerns with possible stock rupture of food in supermarkets | 2.5 (2.1, 2.9) | 3.5 (2.9, 4.3) | 1.6 (1.2, 2.0) | <0.001 |
Weighed data. Total (n = 5840), men (n = 2743), women (n = 3097). Differences between men and women were tested by Chi-Square.