ABSTRACT OBJECTIVE To analyze the number of yellow fever vaccine doses administered before and during the covid-19 pandemic in Brazil. METHODS This is an ecological, time series study based on data from the National Immunization Program. Differences between the median number of yellow fever vaccine doses administered in Brazil and in its regions before (from April/2019 to March/2020) and after (from April/2020 to March/2021) the implementation of social distancing measures in the country were assessed via the Mann-Whitney test. Prais-Winsten regression models were used for time series analyses. RESULTS We found a reduction in the median number of yellow fever vaccine doses administered in Brazil and in its regions: North (-34.71%), Midwest (-21.72%), South (-63.50%), and Southeast (-34.42%) (p < 0.05). Series showed stationary behavior in Brazil and in its five regions during the covid-19 pandemic (p > 0.05). Brazilian states also showed stationary trends, except for two states which recorded an increasing trend in the number of administered yellow fever vaccine doses, namely: Alagoas State (before: β = 64, p = 0.081; after: β = 897, p = 0.039), which became a yellow fever vaccine recommendation zone, and Roraima State (before: β = 68, p = 0.724; after: β = 150, p = 0.000), which intensified yellow fever vaccinations due to a yellow fever case confirmation in a Venezuelan State in 2020. CONCLUSION The reduced number of yellow fever vaccine doses administered during the covid-19 pandemic in Brazil may favor the reemergence of urban yellow fever cases in the country.

ABSTRACT OBJECTIVE To analyze the number of yellow fever vaccine doses administered before and during the covid-19 pandemic in Brazil. METHODS This is an ecological, time series study based on data from the National Immunization Program. Differences between the median number of yellow fever vaccine doses administered in Brazil and in its regions before (from April/2019 to March/2020) and after (from April/2020 to March/2021) the implementation of social distancing measures in the country were assessed via the Mann-Whitney test. Prais-Winsten regression models were used for time series analyses. RESULTS We found a reduction in the median number of yellow fever vaccine doses administered in Brazil and in its regions: North (-34.71%), Midwest (-21.72%), South (-63.50%), and Southeast (-34.42%) (p < 0.05). Series showed stationary behavior in Brazil and in its five regions during the covid-19 pandemic (p > 0.05). Brazilian states also showed stationary trends, except for two states which recorded an increasing trend in the number of administered yellow fever vaccine doses, namely: Alagoas State (before: β = 64, p = 0.081; after: β = 897, p = 0.039), which became a yellow fever vaccine recommendation zone, and Roraima State (before: β = 68, p = 0.724; after: β = 150, p = 0.000), which intensified yellow fever vaccinations due to a yellow fever case confirmation in a Venezuelan State in 2020. CONCLUSION The reduced number of yellow fever vaccine doses administered during the covid-19 pandemic in Brazil may favor the reemergence of urban yellow fever cases in the country.

Abstract Objective: To estimate the prevalence of self-reported high cholesterol diagnosis and to analyze the factors associated with the prevalence in the Brazilian adult population. Methods: Cross-sectional study, using data from the 2019 National Health Survey. The diagnosis of high cholesterol was self-reported. Poisson regression models yielded prevalence ratios (PR) and 95% confidence intervals (95%CI). Results: In the 88,531 adults, the prevalence of high cholesterol was 14.6%. Positively associated: female sex (PR = 1.44; 95%CI 1.40;1.52), age ≥ 60 years (PR = 3.80; 95%CI 3.06;4.71), health insurance (PR = 1.33; 95%CI 1.24;1.42), poor or very poor self-rated health (PR = 1.75; 95%CI 1.60;1.90), hypertension (PR = 1.78; 95%CI 1.68;-1.89), diabetes (RP = 1.54; 95%CI 1.45;1.65), renal failure (PR = 1.33; 95%CI 1.15;1.53), obesity (PR = 1.27; 95%CI 1.18;1.36), former smoker (PR = 1.13; 95%CI 1.07;1.20), alcohol abuse (PR = 1.11; 95%CI 1.01;1.21), physically active during leisure time (PR = 1.22; 95%CI 1.15;1.30). Conclusion: High cholesterol was associated with sociodemographic characteristics, health condition and lifestyle.

Resumo Objetivo: Estimar a prevalência de diagnóstico autorreferido de colesterol alto e analisar os fatores associados à prevalência na população adulta brasileira. Métodos: Estudo transversal utilizando a Pesquisa Nacional de Saúde 2019. O diagnóstico de colesterol alto foi autorreferido. Modelos de regressão de Poisson originaram as razões de prevalência (RP) e intervalos de confiança de 95% (IC95%). Resultados: Nos 88.531 adultos, a prevalência de colesterol alto foi de 14,6%. Associaram-se positivamente: sexo feminino (RP = 1,44; IC95% 1,40;1,52), idade ≥ 60 anos (RP = 3,80; IC95% 3,06;4,71), ter plano de saúde (RP = 1,33; IC95% 1,24;1,42), autoavaliação de saúde ruim ou muito ruim (RP = 1,75; IC95% 1,60;1,90), ter hipertensão (RP = 1,78; IC95% 1,68;1,89), ter diabetes (RP = 1,54; IC95% 1,45;1,65), ter insuficiência renal (RP = 1,33; IC95% 1,15;1,53), ter obesidade (RP = 1,27; IC95% 1,18;1,36), ser ex-fumante (RP = 1,13; IC95% 1,07;1,20), consumir álcool abusivamente (RP = 1,11; IC95% 1,01;1,21), ser ativo no lazer (RP = 1,22; IC95% 1,15;1,30). Conclusão: O colesterol alto associou-se a condições sociodemográficas, de saúde e estilo de vida.

Resumen Objetivo: Estimar la prevalencia de colesterol alto autodeclarado y analizar factores asociados la prevalencia en adultos brasileños. Métodos: Estudio transversal utilizando la Encuesta Nacional de Salud de 2019. El diagnóstico de colesterol alto fue autodeclarado. Los modelos de regresión de Poisson produjeron razón de prevalencia (RP) e intervalos de confianza del 95% (IC95%). Resultados: En 88.531 adultos, la prevalencia fue 14,6%. Asociaron positivamente: sexo feminino (RP = 1,44; IC95% 1,40;1,52), edad ≥ 60 años (RP = 3,80; IC95% 3,06;4,71), seguro salud (RP = 1,33; IC95% 1,24;1,42), autoevaluación de salud mala o muy mala (RP = 1,75; IC95% 1,60;1,90), hipertensión (RP = 1,78; IC95% 1,68;1,89), diabetes (RP = 1,54; IC95% 1,45;1,65), insuficiencia renal (RP = 1,33; IC95% 1,15;1,53), obesidad (RP = 1,27; IC95% 1,18;1,36), exfumador (RP = 1,13; IC95% 1,07;1,20), abuso de alcohol (RP = 1,11; IC95% 1,01;1,21), estar activo en el tiempo libre (RP = 1,22; IC95% 1,15;1,30). Conclusión: Colesterol alto se asoció con condiciones sociodemográficas, de salud y estilo de vida.

Resumo Objetivo: Estimar a prevalência de diagnóstico autorreferido de colesterol alto e analisar os fatores associados à prevalência na população adulta brasileira. Métodos: Estudo transversal utilizando a Pesquisa Nacional de Saúde 2019. O diagnóstico de colesterol alto foi autorreferido. Modelos de regressão de Poisson originaram as razões de prevalência (RP) e intervalos de confiança de 95% (IC95%). Resultados: Nos 88.531 adultos, a prevalência de colesterol alto foi de 14,6%. Associaram-se positivamente: sexo feminino (RP = 1,44; IC95% 1,40;1,52), idade ≥ 60 anos (RP = 3,80; IC95% 3,06;4,71), ter plano de saúde (RP = 1,33; IC95% 1,24;1,42), autoavaliação de saúde ruim ou muito ruim (RP = 1,75; IC95% 1,60;1,90), ter hipertensão (RP = 1,78; IC95% 1,68;1,89), ter diabetes (RP = 1,54; IC95% 1,45;1,65), ter insuficiência renal (RP = 1,33; IC95% 1,15;1,53), ter obesidade (RP = 1,27; IC95% 1,18;1,36), ser ex-fumante (RP = 1,13; IC95% 1,07;1,20), consumir álcool abusivamente (RP = 1,11; IC95% 1,01;1,21), ser ativo no lazer (RP = 1,22; IC95% 1,15;1,30). Conclusão: O colesterol alto associou-se a condições sociodemográficas, de saúde e estilo de vida.

Abstract Objective: To estimate the prevalence of self-reported high cholesterol diagnosis and to analyze the factors associated with the prevalence in the Brazilian adult population. Methods: Cross-sectional study, using data from the 2019 National Health Survey. The diagnosis of high cholesterol was self-reported. Poisson regression models yielded prevalence ratios (PR) and 95% confidence intervals (95%CI). Results: In the 88,531 adults, the prevalence of high cholesterol was 14.6%. Positively associated: female sex (PR = 1.44; 95%CI 1.40;1.52), age ≥ 60 years (PR = 3.80; 95%CI 3.06;4.71), health insurance (PR = 1.33; 95%CI 1.24;1.42), poor or very poor self-rated health (PR = 1.75; 95%CI 1.60;1.90), hypertension (PR = 1.78; 95%CI 1.68;-1.89), diabetes (RP = 1.54; 95%CI 1.45;1.65), renal failure (PR = 1.33; 95%CI 1.15;1.53), obesity (PR = 1.27; 95%CI 1.18;1.36), former smoker (PR = 1.13; 95%CI 1.07;1.20), alcohol abuse (PR = 1.11; 95%CI 1.01;1.21), physically active during leisure time (PR = 1.22; 95%CI 1.15;1.30). Conclusion: High cholesterol was associated with sociodemographic characteristics, health condition and lifestyle.

Resumen Objetivo: Estimar la prevalencia de colesterol alto autodeclarado y analizar factores asociados la prevalencia en adultos brasileños. Métodos: Estudio transversal utilizando la Encuesta Nacional de Salud de 2019. El diagnóstico de colesterol alto fue autodeclarado. Los modelos de regresión de Poisson produjeron razón de prevalencia (RP) e intervalos de confianza del 95% (IC95%). Resultados: En 88.531 adultos, la prevalencia fue 14,6%. Asociaron positivamente: sexo feminino (RP = 1,44; IC95% 1,40;1,52), edad ≥ 60 años (RP = 3,80; IC95% 3,06;4,71), seguro salud (RP = 1,33; IC95% 1,24;1,42), autoevaluación de salud mala o muy mala (RP = 1,75; IC95% 1,60;1,90), hipertensión (RP = 1,78; IC95% 1,68;1,89), diabetes (RP = 1,54; IC95% 1,45;1,65), insuficiencia renal (RP = 1,33; IC95% 1,15;1,53), obesidad (RP = 1,27; IC95% 1,18;1,36), exfumador (RP = 1,13; IC95% 1,07;1,20), abuso de alcohol (RP = 1,11; IC95% 1,01;1,21), estar activo en el tiempo libre (RP = 1,22; IC95% 1,15;1,30). Conclusión: Colesterol alto se asoció con condiciones sociodemográficas, de salud y estilo de vida.