Abstract Objective: to analyse the prevalence of self-medication during the COVID-19 pandemic among primary education teachers and the associated factors. Methods: web-survey type of epidemiological survey performed with primary education teachers from public schools in Minas Gerais. Data collection occurred between August and September of 2020 via digital forms. The dependent variable was self-medication during the pandemic. It was analyzed by Poisson Regression, with robust variance estimation. Results: a total of 15,641 teachers from 795 cities in Minas Gerais, 81.9% female, participated in the study. It was observed that 14.5% of teachers increased the self-medication during pandemic, among them, the highest prevalence was between women (Prevalence Ratio [PR]=1.25; 95% of Confidence Interval [95%CI]=1.12;1.40), under 60 years old (PR=1.48; 95%CI=1.12;1.95), living in the urban area (PR=1.15; 95%CI=1.02;1.29), dissatisfied with the teaching work (PR=1.60; 95%CI=1.41;1.82), with worse dietary pattern (PR=1.44; 95%CI=1.33;1.56), outside the risk group for COVID-19 (PR=1.18; 95%CI=1.10;1.27), with sleep problems (PR=2.10; 95%CI=1.85;2.38), sad or regularly depressed (PR=6.29; 95%CI=4.08;9.69), and very afraid of COVID-19 (PR=1.39; 95%CI=1.23;1.57). Conclusion: self-medication was associated with sociodemographic characteristics, life habits, health conditions, and indifference or dissatisfaction with the work, characterized as a health problem among teachers. Objective selfmedication self medication COVID19 COVID 19 COVID-1 factors Methods websurvey web Gerais 202 forms Regression estimation Results 15641 15 641 15,64 79 819 81 9 81.9 female study 145 14 5 14.5 them Prevalence PR=1.25 PR125 PR =1.25 1 25 [PR]=1.25 95 95%CI=1.121.40, 95CI112140 CI 95%CI =1.12 1.40 , 12 40 [95%CI]=1.12;1.40) 6 PR=1.48 PR148 48 (PR=1.48 95%CI=1.121.95, 95CI112195 95%CI=1.12 1.95 95%CI=1.12;1.95) PR=1.15 PR115 (PR=1.15 95%CI=1.021.29, 95CI102129 95%CI=1.02 1.29 02 29 95%CI=1.02;1.29) PR=1.60 PR160 (PR=1.60 95%CI=1.411.82, 95CI141182 95%CI=1.41 1.82 41 82 95%CI=1.41;1.82) PR=1.44 PR144 44 (PR=1.44 95%CI=1.331.56, 95CI133156 95%CI=1.33 1.56 33 56 95%CI=1.33;1.56) PR=1.18 PR118 18 (PR=1.18 95%CI=1.101.27, 95CI110127 95%CI=1.10 1.27 10 27 95%CI=1.10;1.27) PR=2.10 PR210 2 (PR=2.10 95%CI=1.852.38, 95CI185238 95%CI=1.85 2.38 85 38 95%CI=1.85;2.38) PR=6.29 PR629 (PR=6.29 95%CI=4.089.69, 95CI408969 95%CI=4.08 9.69 4 08 69 95%CI=4.08;9.69) PR=1.39 PR139 39 (PR=1.39 95%CI=1.231.57. 95CI123157 95%CI=1.23 1.57 . 23 57 95%CI=1.23;1.57) Conclusion characteristics habits conditions COVID1 COVID- 20 1564 64 15,6 7 8 81. 14. PR=1.2 PR12 125 =1.2 [PR]=1.2 121 95%CI=1.121.40 95CI11214 95CI 112 =1.1 140 1.4 [95%CI]=1.12;1.40 PR=1.4 PR14 (PR=1.4 95%CI=1.121.95 95CI11219 95CI112 95%CI=1.1 195 1.9 95%CI=1.12;1.95 PR=1.1 PR11 (PR=1.1 021 95%CI=1.021.29 95CI10212 95CI102 95%CI=1.0 129 1.2 0 95%CI=1.02;1.29 PR=1.6 PR16 (PR=1.6 411 95%CI=1.411.82 95CI14118 95CI141 95%CI=1.4 182 1.8 95%CI=1.41;1.82 331 95%CI=1.331.56 95CI13315 95CI133 95%CI=1.3 156 1.5 3 95%CI=1.33;1.56 101 95%CI=1.101.27 95CI11012 95CI110 127 95%CI=1.10;1.27 PR=2.1 PR21 (PR=2.1 852 95%CI=1.852.38 95CI18523 95CI185 95%CI=1.8 238 2.3 95%CI=1.85;2.38 PR=6.2 PR62 (PR=6.2 089 95%CI=4.089.69 95CI40896 95CI408 95%CI=4.0 969 9.6 95%CI=4.08;9.69 PR=1.3 PR13 (PR=1.3 231 95%CI=1.231.57 95CI12315 95CI123 95%CI=1.2 157 95%CI=1.23;1.57 15, PR=1. PR1 =1. [PR]=1. 95%CI=1.121.4 95CI1121 11 1. [95%CI]=1.12;1.4 (PR=1. 95%CI=1.121.9 95CI11 95%CI=1. 95%CI=1.12;1.9 95%CI=1.021.2 95CI1021 95CI10 95%CI=1.02;1.2 95%CI=1.411.8 95CI1411 95CI14 95%CI=1.41;1.8 95%CI=1.331.5 95CI1331 95CI13 95%CI=1.33;1.5 95%CI=1.101.2 95CI1101 95%CI=1.10;1.2 PR=2. PR2 (PR=2. 95%CI=1.852.3 95CI1852 95CI18 2. 95%CI=1.85;2.3 PR=6. PR6 (PR=6. 95%CI=4.089.6 95CI4089 95CI40 95%CI=4. 96 9. 95%CI=4.08;9.6 95%CI=1.231.5 95CI1231 95CI12 95%CI=1.23;1.5 PR=1 =1 [PR]=1 95%CI=1.121. [95%CI]=1.12;1. (PR=1 95CI1 95%CI=1 95%CI=1.12;1. 95%CI=1.021. 95%CI=1.02;1. 95%CI=1.411. 95%CI=1.41;1. 95%CI=1.331. 95%CI=1.33;1. 95%CI=1.101. 95%CI=1.10;1. PR=2 (PR=2 95%CI=1.852. 95%CI=1.85;2. PR=6 (PR=6 95%CI=4.089. 95CI4 95%CI=4 95%CI=4.08;9. 95%CI=1.231. 95%CI=1.23;1. PR= = [PR]= 95%CI=1.121 [95%CI]=1.12;1 (PR= 95%CI= 95%CI=1.12;1 95%CI=1.021 95%CI=1.02;1 95%CI=1.411 95%CI=1.41;1 95%CI=1.331 95%CI=1.33;1 95%CI=1.101 95%CI=1.10;1 95%CI=1.852 95%CI=1.85;2 95%CI=4.089 95%CI=4.08;9 95%CI=1.231 95%CI=1.23;1 [PR] [95%CI]=1.12; (PR 95%CI=1.12; 95%CI=1.02; 95%CI=1.41; 95%CI=1.33; 95%CI=1.10; 95%CI=1.85; 95%CI=4.08; 95%CI=1.23; [PR [95%CI]=1.12 [95%CI]=1.1 [95%CI]=1. [95%CI]=1 [95%CI]= [95%CI] [95%CI
Resumo Objetivo: analisar a prevalência do aumento da automedicação durante a pandemia de COVID-19 entre professores da educação básica pública e fatores associados. Métodos: inquérito epidemiológico do tipo websurvey, realizado com professores da educação básica pública de Minas Gerais. A coleta de dados ocorreu de agosto a setembro de 2020 via formulário online. A variável dependente foi a automedicação durante a pandemia. Foi utilizada a Regressão de Poisson, com variância robusta. Resultados: participaram do estudo 15.641 professores de 795 cidades mineiras, 81,9% eram do sexo feminino. Observou-se que 14,5% dos professores aumentaram a automedicação durante a pandemia, entre eles houve maior prevalência entre as mulheres (Razão de Prevalência [RP]=1,25; Intervalo de Confiança de 95% [IC95%]=1,12;1,40), professores com menos de 60 anos (RP=1,48; IC95%=1,12;1,95), residentes da área urbana (RP=1,15; IC95%=1,02;1,29), insatisfeitos com o trabalho docente (RP=1,60; IC95%=1,41;1,82), com pior padrão alimentar (RP=1,44; IC95%=1,33;1,56), parte do grupo de risco para a COVID-19 (RP=1,18; IC95%=1,10;1,27), com problemas de sono (RP=2,10; IC95%=1,85;2,38), tristes ou regularmente deprimidos (RP=6,29; IC95%=4,08;9,69) e aqueles que apresentaram muito medo da COVID-19 (RP=1,39; IC95%=1,23;1,57). Conclusão: a automedicação esteve associada a características sociodemográficas, hábitos de vida, condições de saúde e indiferença ou insatisfação com o trabalho, configurando-se como um problema de saúde entre docentes. Objetivo COVID19 COVID 19 COVID-1 associados Métodos websurvey Gerais 202 online Poisson robusta Resultados 15641 15 641 15.64 79 mineiras 819 81 9 81,9 feminino Observouse Observou se 145 14 5 14,5 Razão RP=1,25 RP125 RP =1,25 1 25 [RP]=1,25 95 IC95%=1,121,40, IC95112140 IC IC95% =1,12 1,40 , IC95 12 40 [IC95%]=1,12;1,40) 6 RP=1,48 RP148 48 (RP=1,48 IC95%=1,121,95, IC95112195 IC95%=1,12 1,95 IC95%=1,12;1,95) RP=1,15 RP115 (RP=1,15 IC95%=1,021,29, IC95102129 IC95%=1,02 1,29 02 29 IC95%=1,02;1,29) RP=1,60 RP160 (RP=1,60 IC95%=1,411,82, IC95141182 IC95%=1,41 1,82 41 82 IC95%=1,41;1,82) RP=1,44 RP144 44 (RP=1,44 IC95%=1,331,56, IC95133156 IC95%=1,33 1,56 33 56 IC95%=1,33;1,56) RP=1,18 RP118 18 (RP=1,18 IC95%=1,101,27, IC95110127 IC95%=1,10 1,27 10 27 IC95%=1,10;1,27) RP=2,10 RP210 2 (RP=2,10 IC95%=1,852,38, IC95185238 IC95%=1,85 2,38 85 38 IC95%=1,85;2,38) RP=6,29 RP629 (RP=6,29 IC95%=4,089,69 IC95408969 IC95%=4,08 9,69 4 08 69 IC95%=4,08;9,69 RP=1,39 RP139 39 (RP=1,39 IC95%=1,231,57. IC95123157 IC95%=1,23 1,57 . 23 57 IC95%=1,23;1,57) Conclusão sociodemográficas vida configurandose configurando docentes COVID1 COVID- 20 1564 64 15.6 7 8 81, 14, RP=1,2 RP12 125 =1,2 [RP]=1,2 121 IC95%=1,121,40 IC9511214 112 =1,1 140 1,4 IC9 [IC95%]=1,12;1,40 RP=1,4 RP14 (RP=1,4 IC95%=1,121,95 IC9511219 IC95112 IC95%=1,1 195 1,9 IC95%=1,12;1,95 RP=1,1 RP11 (RP=1,1 021 IC95%=1,021,29 IC9510212 IC95102 IC95%=1,0 129 1,2 0 IC95%=1,02;1,29 RP=1,6 RP16 (RP=1,6 411 IC95%=1,411,82 IC9514118 IC95141 IC95%=1,4 182 1,8 IC95%=1,41;1,82 331 IC95%=1,331,56 IC9513315 IC95133 IC95%=1,3 156 1,5 3 IC95%=1,33;1,56 101 IC95%=1,101,27 IC9511012 IC95110 127 IC95%=1,10;1,27 RP=2,1 RP21 (RP=2,1 852 IC95%=1,852,38 IC9518523 IC95185 IC95%=1,8 238 2,3 IC95%=1,85;2,38 RP=6,2 RP62 (RP=6,2 089 IC95%=4,089,6 IC9540896 IC95408 IC95%=4,0 969 9,6 IC95%=4,08;9,6 RP=1,3 RP13 (RP=1,3 231 IC95%=1,231,57 IC9512315 IC95123 IC95%=1,2 157 IC95%=1,23;1,57 15. RP=1, RP1 =1, [RP]=1, IC95%=1,121,4 IC951121 11 1, [IC95%]=1,12;1,4 (RP=1, IC95%=1,121,9 IC9511 IC95%=1, IC95%=1,12;1,9 IC95%=1,021,2 IC951021 IC9510 IC95%=1,02;1,2 IC95%=1,411,8 IC951411 IC9514 IC95%=1,41;1,8 IC95%=1,331,5 IC951331 IC9513 IC95%=1,33;1,5 IC95%=1,101,2 IC951101 IC95%=1,10;1,2 RP=2, RP2 (RP=2, IC95%=1,852,3 IC951852 IC9518 2, IC95%=1,85;2,3 RP=6, RP6 (RP=6, IC95%=4,089, IC954089 IC9540 IC95%=4, 96 9, IC95%=4,08;9, IC95%=1,231,5 IC951231 IC9512 IC95%=1,23;1,5 RP=1 =1 [RP]=1 IC95%=1,121, [IC95%]=1,12;1, (RP=1 IC951 IC95%=1 IC95%=1,12;1, IC95%=1,021, IC95%=1,02;1, IC95%=1,411, IC95%=1,41;1, IC95%=1,331, IC95%=1,33;1, IC95%=1,101, IC95%=1,10;1, RP=2 (RP=2 IC95%=1,852, IC95%=1,85;2, RP=6 (RP=6 IC95%=4,089 IC954 IC95%=4 IC95%=4,08;9 IC95%=1,231, IC95%=1,23;1, RP= = [RP]= IC95%=1,121 [IC95%]=1,12;1 (RP= IC95%= IC95%=1,12;1 IC95%=1,021 IC95%=1,02;1 IC95%=1,411 IC95%=1,41;1 IC95%=1,331 IC95%=1,33;1 IC95%=1,101 IC95%=1,10;1 IC95%=1,852 IC95%=1,85;2 IC95%=4,08; IC95%=1,231 IC95%=1,23;1 [RP] [IC95%]=1,12; (RP IC95%=1,12; IC95%=1,02; IC95%=1,41; IC95%=1,33; IC95%=1,10; IC95%=1,85; IC95%=1,23; [RP [IC95%]=1,12 [IC95%]=1,1 [IC95%]=1, [IC95%]=1 [IC95%]= [IC95%] [IC95% [IC95 [IC9 [IC