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https://ninho.inca.gov.br/jspui/handle/123456789/8173
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DC Field | Value | Language |
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dc.contributor.author | Rezende, Leandro Fórnias Machado de | - |
dc.contributor.author | Malhão, Thainá Alves | - |
dc.contributor.author | Barbosa, Rafael da Silva | - |
dc.contributor.author | Schilithz, Arthur Orlando Corrêa | - |
dc.contributor.author | Silva, Ronaldo Corrêa Ferreira da | - |
dc.contributor.author | Moreira, Luciana Grucci Maya | - |
dc.contributor.author | Machado, Paula Aballo Nunes | - |
dc.contributor.author | Arguelhes, Bruna Pitasi | - |
dc.contributor.author | Melo, Maria Eduarda Leão Diogenes | - |
dc.date.accessioned | 2022-06-29T16:46:27Z | - |
dc.date.available | 2022-06-29T16:46:27Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 1471-2458 | - |
dc.identifier.uri | http://sr-vmlxaph03:8080/jspui/handle/123456789/8173 | - |
dc.description.abstract | Background: Excess body weight (EBW), herein defined as body mass index (BMI) ≥25 kg/m2, is a well-known modifiable risk factor for cancer and a pivotal vector for growing healthcare costs. We estimated the future (2030) federal direct healthcare costs of cancer in the Brazilian Unified Health System (SUS) attributable to EBW. We also projected direct healthcare costs of cancer that could be potentially saved in 2040, considering counterfactual (alternative) scenarios of population-wide reductions in the BMI to be achievedin 2030. Methods: We developed a macrosimulation model by sex using self-reported BMI data in adults ≥ 20 years who relied exclusively on the public health system from the Brazilian National Health Survey (PNS) 2019; relative risks for 12 types of cancer from the World Cancer Research Fund/American Institute Cancer Research (WCRF/AICR) meta-analysis; and nationwide registries of federal direct healthcare costs of inpatient and outpatient procedures in adults ≥30 years with cancer from 2008-2019. We calculated the attributable costs of cancer via comparative risk assessment, assuming a 10-year lag between exposure and outcome. We used the potential impact fraction (PIF) equation and the Monte Carlo simulation method to estimate the attributable costs and 95% uncertainty intervals, considering the theoretical-minimum-risk exposure and other counterfactual (alternative) scenarios of the EBW prevalence. We assessed the cancer costs attributable to EBW, multiplying PIF by the direct healthcare costs of cancer. Results: In 2030, 2.4% or US$ 62.8 million in direct healthcare costs of cancer may be attributable to EBW. We projected potential savings of approximately US$ 10.3 to 26.6 million in 2040 by reducing the prevalence of EBW in 2030. Conclusions: We estimated high future costs of cancer attributable to EBW in Brazil. Our findings may support interventions and policies focused on the primary prevention of EBW and cancer. | pt_BR |
dc.language.iso | en | pt_BR |
dc.publisher | BMC Public Health | pt_BR |
dc.subject | Neoplasias | pt_BR |
dc.subject | Neoplasms | pt_BR |
dc.subject | Obesidade | pt_BR |
dc.subject | Obesity | pt_BR |
dc.subject | Obesidad | pt_BR |
dc.subject | Efeitos Psicossociais da Doença | pt_BR |
dc.subject | Cost of Illness | pt_BR |
dc.subject | Costo de Enfermedad | pt_BR |
dc.title | The future costs of cancer attributable to excess body weight in Brazil, 2030-2040 | pt_BR |
dc.Type | Article | pt_BR |
Appears in Collections: | Artigos de Periódicos da área técnica Alimentação, Nutrição, Atividade Física e Câncer |
Files in This Item:
File | Description | Size | Format | |
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The future costs of cancer attributable to excess body wight in Brazil, 2030-2040 - 2022.pdf | 1.26 MB | Adobe PDF | View/Open |
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