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 fast-food consumption and the association with sociodemographic and socioeconomic variables.
| Variable | N (%) | N (%) | Total | p value |
| < 0.001 | ||||
| Male | 1767 (82.80%) | 367 (17.20%) | 2134 | |
| Female | 3068 (79.03%) | 814 (20.97%) | 3882 | |
| | 4835 (80.37%) | 1181 (19.63%) | 6016 | |
| < 0.001 | ||||
| Less than 30 | 800 (74.14%) | 219 (25.86%) | 1079 | |
| 30-39 | 1245 (72.98%) | 461 (27.02%) | 1706 | |
| 40-49 | 1362 (82.45 %) | 290 (17.55%) | 1652 | |
| 50 and over | 1428 (90.44%) | 151 (9.56%) | 1579 | |
| | 4835 (80.37%) | 1181 (19.63%) | 6016 | |
| 0.715 | ||||
| FONASA | 2026 (80.78 %) | 482 (19.22%) | 2508 | |
| ISAPRE | 2511 (79.97%) | 629 (20.03%) | 3140 | |
| Other or without insurance | 285 (80.97%) | 67 (19.03%) | 352 | |
| | 4822 (80.37%) | 1178 (19.63%) | 6000 | |
| 0.101 | ||||
| Has not changed | 2188 (81.16%) | 508 (18.84%) | 2696 | |
| Has changed by a little | 1259 (78.59%) | 343 (21.41%) | 1602 | |
| Has changed a lot | 1373 (80.91%) | 324 (19.09%) | 1697 | |
| | 4820 (80.40%) | 1175 (19.60%) | 5995 | |
| 0.606 | ||||
| Primary | 44 (86.27%) | 7 (13.73%) | 51 | |
| Secondary | 665 (79.45%) | 172 (20.55%) | 837 | |
| Technical/vocational | 702 (81.06%) | 164 (18.94%) | 866 | |
| Higher education | 3401 (80.36%) | 831 (19.64%) | 4232 | |
| | 4812 (80.39%) | 1174 (19.61%) | 5986 | |
| 0.031 | ||||
| V Valparaíso | 411 (81.71%) | 91 (18.29%) | 503 | |
| VIII Biobío | 207 (85.89%) | 34 (14.11%) | 241 | |
| XIII Metropolitan | 3365 (80.48%) | 816 (19.52%) | 4181 | |
| Other | 852 (78.09%) | 239 (21.91%) | 1091 | |
| | 4835 (80.37%) | 1181 (19.63%) | 6016 |
Source: Prepared by the authors of this study.