Resumo O objetivo deste estudo foi estimar a cobertura populacional e a taxa de incremento anual (TIA) média, em âmbito nacional, do registro de marcadores do consumo alimentar do Sistema de Vigilância Alimentar e Nutricional (Sisvan), entre 2015 e 2019, considerando a entrada dos dados via Estratégia e-SUS APS e Sisvan Web. Trata-se de estudo ecológico de séries temporais, com estratificação por macrorregiões e faixas etárias. A TIA da cobertura foi calculada utilizando regressão de Prais-Winsten e a correlação com IDH, PIB per capita e cobertura da APS foi avaliada por teste de Spearman. A cobertura populacional do registro de marcadores de consumo alimentar no país foi de 0,92% em 2019, com TIA significante de 45,63% desde 2015. As maiores coberturas foram observadas na região Nordeste (4,08%; TIA=45,76%, p<0,01) e em crianças entre 2 e 4 anos (3,03%; TIA=34,62%, p<0,01). Houve tendência crescente para a entrada dos dados via e-SUS APS, em detrimento do Sisvan Web. A TIA da cobertura dos registros via e-SUS APS exibiu correlação positiva com IDH e PIB per capita em alguns recortes etários. A cobertura populacional do registro de marcadores de consumo alimentar do Sisvan ainda se mostra incipiente no país e o e-SUS APS parece ser uma estratégia relevante para sua expansão. (TIA média nacional Sisvan, , (Sisvan) 201 2019 eSUS SUS Web Tratase Trata temporais etárias PraisWinsten Prais Winsten Spearman 092 0 92 0,92 4563 45 63 45,63 4,08% 408 08 (4,08% TIA4576 76 TIA=45,76% p<0,01 p001 p 01 3,03% 303 3 03 (3,03% TIA3462 34 62 TIA=34,62% p<0,01. . etários expansão (Sisvan 20 09 9 0,9 456 6 45,6 4,08 40 (4,08 TIA457 7 TIA=45,76 p<0,0 p00 3,03 30 (3,03 TIA346 TIA=34,62 0, 45, 4,0 (4,0 TIA45 TIA=45,7 p<0, p0 3,0 (3,0 TIA34 TIA=34,6 4, (4, TIA4 TIA=45, p<0 3, (3, TIA3 TIA=34, (4 TIA=45 p< (3 TIA=34 ( TIA=4 TIA=3 TIA=
Abstract The aim of the present study was to estimate the population coverage of recording food intake markers in Brazil’s Food and Nutrition Surveillance System (Sisvan) and mean annual percent change (APC) in coverage according to the system used for data entry (e-SUS APS and Sisvan Web). We conducted an ecological time series study of the period 2015-2019. The data were stratified into region and age group. APC in coverage was calculated using Prais-Winsten regression and the correlation between APC and HDI, GDP per capita and primary healthcare coverage was assessed using Spearman’s correlation coefficient. Population coverage of recording food intake markers at national level was 0.92% in 2019. Mean APC in coverage throughout the period was 45.63%. The region and age group with the highest coverage rate were the Northeast (4.08%; APC=45.76%, p<0.01) and children aged 2-4 years (3.03%; APC=34.62%, p<0.01), respectively. There was an upward trend in data entry using e-SUS APS, to the detriment of Sisvan Web. There was a positive correlation between APC in coverage using e-SUS APS and HDI and GDP per capita in some age groups. Population coverage of recording Sisvan food intake markers remains low across the country. The e-SUS APS has the potential to be an important strategy for expanding food and nutrition surveillance. Brazils Brazil s (Sisvan (APC eSUS e SUS Web . Web) 20152019. 20152019 2015 2019 2015-2019 PraisWinsten Prais Winsten Spearmans Spearman coefficient 092 0 92 0.92 4563 45 63 45.63% 4.08% 408 4 08 (4.08% APC4576 76 APC=45.76% p<0.01 p001 p 01 24 2 2- 3.03% 303 3 03 (3.03% APC3462 34 62 APC=34.62% p<0.01, , respectively groups country surveillance 2015201 201 2015-201 09 9 0.9 456 6 45.63 4.08 40 (4.08 APC457 7 APC=45.76 p<0.0 p00 3.03 30 (3.03 APC346 APC=34.62 201520 20 2015-20 0. 45.6 4.0 (4.0 APC45 APC=45.7 p<0. p0 3.0 (3.0 APC34 APC=34.6 20152 2015-2 45. 4. (4. APC4 APC=45. p<0 3. (3. APC3 APC=34. 2015- (4 APC=45 p< (3 APC=34 ( APC=4 APC=3 APC=