Food intake markers in Sisvan: temporal trends in coverage and integration with e-SUS APS, Brazil 2015-2019

Author:

Ricci Joanna Manzano Strabeli1ORCID,Romito Ana Lúcia Zovadelli2ORCID,Silva Sara Araújo da3ORCID,Carioca Antonio Augusto Ferreira4ORCID,Lourenço Bárbara Hatzlhoffer2ORCID

Affiliation:

1. Universidade de São Paulo, Brazil

2. USP, Brazil

3. Ministério da Saúde, Brazil

4. Universidade de Fortaleza, Brazil

Abstract

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.

Publisher

FapUNIFESP (SciELO)

Subject

Public Health, Environmental and Occupational Health,Health Policy

Reference39 articles.

1. Ministério da Saúde (MS). Secretaria de Atenção Básica à Saúde. Departamento de Atenção Básica. Política Nacional de Alimentação e Nutrição,2013

2. Ministério da Saúde (MS). Secretaria de Atenção à Saúde. Departamento de Atenção Básica. Marco de referência da vigilância alimentar e nutricional na atenção básica,2015

3. Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019;Lancet,2020

4. Food and nutrition surveillance systems: technical guide for the development of a food and nutrition surveillance system. WHO Regional Publications, Eastern Mediterranean Series; 33,2013

5. A systematic review of brief dietary questionnaires suitable for clinical use in the prevention and management of obesity, cardiovascular disease and type 2 diabetes;England CY;Eur J Clin Nutr,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3