{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T12:08:04Z","timestamp":1785154084510,"version":"3.55.0"},"reference-count":49,"publisher":"FapUNIFESP (SciELO)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Rev. bras. epidemiol."],"abstract":"<jats:p>ABSTRACT  Objective: To describe the role of the Risk and Protective Factors Indicator Management Committee (RPF CGI) in the resumption and update of the Interagency Health Information Network (Rede Interagencial de Informa\u00e7\u00f5es para a Sa\u00fade \u2013 Ripsa) indicator matrix in 2023, highlighting the sustainability of data sources and validation processes.  Methods and Results: Interinstitutional technical meetings were held between 2023 and 2025, involving 36 institutions, to review, define, and validate the indicators using a standardized indicator qualification form. A consensus was reached to use data from the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey (Sistema de Vigil\u00e2ncia de Fatores de Risco e Prote\u00e7\u00e3o para Doen\u00e7as Cr\u00f4nicas por Inqu\u00e9rito Telef\u00f4nico \u2013 Vigitel), National Study of Infant Feeding and Nutrition (Estudo Nacional de Alimenta\u00e7\u00e3o e Nutri\u00e7\u00e3o Infantil \u2013 Enani), Live Birth Information System (Sistema de Informa\u00e7\u00f5es sobre Nascidos Vivos \u2013 Sinasc), National Health Survey (Pesquisa Nacional de Sa\u00fade \u2013 PNS), Household Budget Survey (Pesquisa de Or\u00e7amentos Familiares \u2013 POF), National School Health Survey (Pesquisa Nacional de Sa\u00fade do Escolar \u2013 PeNSE), National Demographic and Health Survey (Pesquisa Nacional de Demografia e Sa\u00fade \u2013 PNDS), Annual Industrial Survey \u2013 Product (Pesquisa Industrial Anual \u2013 Produto \u2013 PIA-Produto), National Survey on Health and Nutrition (Pesquisa Nacional sobre Sa\u00fade e Nutri\u00e7\u00e3o \u2013 PNSN), and National Oral Health Survey (Pesquisa Nacional de Sa\u00fade Bucal \u2013 SB Brasil). The matrix was expanded to 39 indicators, distributed across nine dimensions: noncommunicable chronic diseases, alcohol consumption, smoking, physical activity, nutritional status, dietary intake, childbirth, violence, and oral health.  Conclusion: The RPF CGI contributed to the qualification and sustainability of Ripsa indicators, which are essential for monitoring public policies, supporting evidence-based decision-making, and addressing health inequalities, aligning with national and international agendas such as the Sustainable Development Goals.<\/jats:p>","DOI":"10.1590\/1980-549720260026","type":"journal-article","created":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T11:45:00Z","timestamp":1785152700000},"source":"Crossref","is-referenced-by-count":0,"title":["Risk and Protective Factor Indicators Management Committee: methodological approach in the construction of indicators of the interagency health information network (Ripsa), 2023"],"prefix":"10.1590","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8214-5734","authenticated-orcid":false,"given":"Deborah Carvalho","family":"Malta","sequence":"first","affiliation":[{"name":"Universidade Federal de Minas Gerais,  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