Estudios originales
Published on 2 de junio de 2025 | http://doi.org/10.5867/medwave.2025.05.3022
Factors associated with the increased consumption of sugary beverages and fast-food during Chile’s first COVID-19 lockdown
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Prevalence of increased consumption of sugary beverages and the association with the sociodemographic and socioeconomic variables.
| Variable | N (%) | N (%) | Total | p value |
| 0.188 | ||||
| Male | 1817 (85.39%) | 311 (14.61%) | 2128 | |
| Female | 3264 (84.10%) | 617 (15.90%) | 3881 | |
| | 5081 (84.56%) | 928 (15.44%) | 6009 | |
| < 0.001 | ||||
| Less than 30 | 860 (74.14%) | 219 (20.30%) | 1079 | |
| 30-39 | 1369 (80.39%) | 334 (19.61%) | 1703 | |
| 40-49 | 1404 (85.09%) | 246 (14.91%) | 165 | |
| 50 and over | 1448 (91.82%) | 129 (8.18%) | 1577 | |
| | 5081 (84.56%) | 928 (15.44%) | 6009 | |
| 0.399 | ||||
| FONASA | 2108 (84.08%) | 399 (15.92%) | 2507 | |
| ISAPRE | 2668 (85.10%) | 467 (14.90%) | 3135 | |
| Other or without insurance | 292 (82.95%) | 60 (17.05%) | 352 | |
| | 5068 (84.55%) | 926 (15.45%) | 5994 | |
| 0.004 | ||||
| Has not changed | 2313 (85.95%) | 378 (14.05%) | 2691 | |
| Has changed by a little | 1315 (82.19%) | 285 (17.82%) | 1600 | |
| Has changed a lot | 1432 (84.38%) | 265 (15.62%) | 1697 | |
| | 5060 (84.50%) | 978 (15.50%) | 5988 | |
| 0.017 | ||||
| Primary | 47 (92.16%) | 4 (7.84%) | 51 | |
| Secondary | 682 (81.38%) | 156 (18.62%) | 838 | |
| Technical/vocational | 743 (86.00%) | 121 (14.00%) | 864 | |
| Higher education | 3583 (84.76%) | 644 (15.24%) | 4227 | |
| | 5055 (84.53%) | 925 (15.47%) | 5980 | |
| 0.570 | ||||
| V Valparaíso | 423 (83.93%) | 81 (16.07%) | 504 | |
| VIII Biobío | 204 (84.65%) | 37 (15.35%) | 241 | |
| XIII Metropolitan | 3,547 (84.96%) | 628 (15.04%) | 4175 | |
| Other | 907 (84.56%) | 182 (16.71%) | 1089 | |
| | 5,081 (84.56%) | 928 (15.44%) | 6009 |
Source: Prepared by the authors of this study.