Health effects associated with consumption of unprocessed red meat: a Burden of Proof study
Lescinsky H, Afshin A, Ashbaugh C, Bisignano C, Brauer M, Ferrara G, Hay SI, He J, Iannucci V, Marczak LB, McLaughlin SA, Mullany EC, Parent MC, Serfes AL, Sorensen RJD, Aravkin AY, Zheng P, Murray CJL
Nature medicine · 116 citas
Cómo se estudió
- Diseño
- Revisión sistemática (indexado por PubMed)
- Estudiado en
- Personas
- Resultado principal
- Eventos clínicos como enfermedad o muerte
- Consumo medido con
- No se indica
Quién lo pagó
- Financiación
- Financiación independiente
- Organización sin fines de lucro
- Bill and Melinda Gates Foundation
- Organización sin fines de lucro
- Bloomberg Philanthropies
- Organización sin fines de lucro
- Cardiovascular Medical Research and Education Fund
- Universidad u hospital
- University of Melbourne
- Gobierno
- Public Health England
- Gobierno
- National Institutes of Health
- Gobierno
- Medical Research Council
- Gobierno
- National Health and Medical Research Council
- Gobierno
- Norwegian Institute of Public Health
- Gobierno
- National Institute on Aging
- Gobierno
- National Institute of Mental Health
- Gobierno
- NIMH NIH HHS
- Gobierno
- NIA NIH HHS
- Subvenciones
- National Institute of Mental Health (R01MH110163); National Institute on Aging (#P30AG047845); National Institutes of Health (P30AG047845)
Según 13 financiadores declarados y la declaración de financiación del texto completo.
Publicación
- Publicado
- 2022-10-01 · Nat Med · vol. 28 · número 10 · págs. 2075–2082
- Editorial
- Nature Portfolio
- Citado
- 173 citas · más que el 100% de estudios similares · 29.2× el promedio de su campo
- Impacto
- Entre el 10 % más citado de su campo
- Referencias
- 116 trabajos
- Acceso
- Acceso abierto (revista híbrida) · CC-BY
- Áreas de investigación
- Nutritional Studies and Diet · Agriculture Sustainability and Environmental Impact · Meat and Animal Product Quality
- Palabras clave
- Red meat, Medicine, Environmental health, Diabetes mellitus, Consumption (sociology), Stroke (engine), Disease, Cardiovascular health, Health benefits, Internal medicine, Traditional medicine, Pathology, Endocrinology
- MeSH
- humans, diabetes mellitus, type 2, chronic disease, diet, risk factors, meat, red meat
18 autores
- Haley Lescinsky🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Ashkan Afshin🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Charlie Ashbaugh🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Catherine Bisignano🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Michael D Brauer🇨🇦🇺🇸University of British Columbia; University of Washington; Institute for Health Metrics and Evaluation
- Giannina Ferrara🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Simon Iain Hay🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Jiawei He🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Vincent C Iannucci🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Laurie B. Marczak🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Susan A. McLaughlin🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Erin C Mullany🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Marie C. Parent🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Audrey L. Serfes🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Reed J D Sorensen🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Aleksandr Y. Aravkin🇺🇸University of Washington; Institute for Health Metrics and Evaluation; University of Washington Applied Physics Laboratory
- Peng Zheng🇺🇸University of Washington; Institute for Health Metrics and Evaluation
- Christopher J L Murray🇺🇸 · autor de correspondenciaUniversity of Washington; Institute for Health Metrics and Evaluation
Resumen
El texto original del estudio, en el idioma en que se publicó.
Characterizing the potential health effects of exposure to risk factors such as red meat consumption is essential to inform health policy and practice. Previous meta-analyses evaluating the effects of red meat intake have generated mixed findings and do not formally assess evidence strength. Here, we conducted a systematic review and implemented a meta-regression-relaxing conventional log-linearity assumptions and incorporating between-study heterogeneity-to evaluate the relationships between unprocessed red meat consumption and six potential health outcomes. We found weak evidence of association between unprocessed red meat consumption and colorectal cancer, breast cancer, type 2 diabetes and ischemic heart disease. Moreover, we found no evidence of an association between unprocessed red meat and ischemic stroke or hemorrhagic stroke. We also found that while risk for the six outcomes in our analysis combined was minimized at 0 g unprocessed red meat intake per day, the 95% uncertainty interval that incorporated between-study heterogeneity was very wide: from 0-200 g d-1. While there is some evidence that eating unprocessed red meat is associated with increased risk of disease incidence and mortality, it is weak and insufficient to make stronger or more conclusive recommendations. More rigorous, well-powered research is needed to better understand and quantify the relationship between consumption of unprocessed red meat and chronic disease.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).
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