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Pouzou JG, Zagmutt FJ. Guidelines to restrict consumption of red meat to under 350 g/wk based on colorectal cancer risk are not consistent with health evidence. Nutrition 2024; 122:112395. [PMID: 38492553 DOI: 10.1016/j.nut.2024.112395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/25/2024] [Accepted: 02/10/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND The Nordic Nutrition Recommendations of 2023 (NNR2023) incorporate sustainability, health, and nutrition in their food-based dietary guidelines (FBDGs). NNR2023 recommends a consumption of ≤350 g/wk of unprocessed red meat (RM) based on association with colorectal cancer (CRC). This recommendation is lower than other FBDGs such as the World Cancer Research Fund (WCRF) recommendation it is based on (350-500 g/wk). OBJECTIVE To evaluate the empirical evidence and models cited by the NNR2023 to support the RM guidance. METHODS We fitted least-assumption (LA) dose-response (DR) models to the studies included in two systematic reviews (SRs) selected by NNR2023 on the RM and CRC association. We compared them against six parametric models reported in the two SRs. We evaluated the statistical significance of modeled relative risks (RR) at different consumption levels. RESULTS Twenty-one studies (20,604,188 patient-years) were analyzed. We found no significant association (RR = 1.04, 0.99-1.09) between 350g/wk of RM and CRC using the LA models, in agreement with the least restrictive models reported by Lescinsky et al., 2022 (RR = 1.11[0.89-1.38]) and WCRF (RR= 1.01[0.96-1.07]). The association was significant at 350 g/wk only under restricting assumptions such as monotonicity RR=1.3[1.01-1.64], and linearity RR = 1.06 [1.00-1.12]. No significant empirical association is observed under 567 g/wk based on evidence used by NNR2023. CONCLUSIONS The sources cited by NNR2023 do not support a consumption restriction of ≤350 g/wk of RM due to CRC, and other studies omitted by NNR2023 do not support association between RM and CRC. We show that model assumptions rather than empirical evidence drive this recommendation. Model uncertainty should be explicitly incorporated in FBDGs.
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Bonnet C, Coinon M. Environmental co-benefits of health policies to reduce meat consumption: A narrative review. Health Policy 2024; 143:105017. [PMID: 38503172 DOI: 10.1016/j.healthpol.2024.105017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/06/2024] [Accepted: 02/09/2024] [Indexed: 03/21/2024]
Abstract
Global meat consumption has risen steadily in recent decades, with heterogeneous growth rates across regions. While meat plays a critical role in providing essential nutrients for human health, excessive consumption of meat, particularly red and processed meat, has also been associated with a higher risk of certain chronic diseases. This has led public authorities, including the World Health Organization, to call for a reduction in meat consumption. How governments can effectively reduce the health costs of meat consumption remains a challenge as implementing effective policy instruments is complex. This paper examines health-related policy instruments and potential economic mechanisms that could reduce meat consumption. Health-related taxation could be the most effective instrument. Other policy instruments, such as informational and behavioral instruments, along with regulations, could discourage meat consumption depending on the policy design. We also provide evidence on the link between meat consumption and the environment, including climate, biodiversity, water use, and pollution. Promoting healthy behaviors by reducing meat consumption can then have environmental co-benefits and promote broader sustainable development goals. We also discuss the policy-related challenges that need to be addressed to meet environmental co-benefits.
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Affiliation(s)
- Céline Bonnet
- Toulouse School of Economics, INRAE, University of Toulouse Capitole, Toulouse, France.
| | - Marine Coinon
- Toulouse School of Economics, INRAE, University of Toulouse Capitole, Toulouse, France
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3
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Bulanda S, Lau K, Nowak A, Łyko-Morawska D, Kotylak A, Janoszka B. The Risk of Oral Cancer and the High Consumption of Thermally Processed Meat Containing Mutagenic and Carcinogenic Compounds. Nutrients 2024; 16:1084. [PMID: 38613117 PMCID: PMC11013896 DOI: 10.3390/nu16071084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 03/25/2024] [Accepted: 04/03/2024] [Indexed: 04/14/2024] Open
Abstract
The International Agency for Research on Cancer has classified the consumption of heat-processed meat as a direct human carcinogen and the consumption of red meat as a probable carcinogen. Mutagenic and carcinogenic compounds present in meat dishes include, among others, polycyclic aromatic hydrocarbons (PAHs) and heterocyclic aromatic amines (HAAs). These compounds can cause the development of gastrointestinal cancer. Oral cancer is one of the world's research priorities due to the ever-increasing incidence rate. However, the effect of diet on oral cancer is still a poorly recognized issue. The aim of this study was to assess the relationship between the risk of oral cancer and dietary ingredients with a particular emphasis on red meat and thermally processed meat. This study was conducted among patients with oral cancer in 2022 and 2023. The shortened standardized Food Frequency Questionnaire (FFQ) and a multivariate regression statistical analysis were used. The high consumption of red meat in general and thermally processed meat, especially smoked, fried, roasted and boiled, increases the risk of oral cavity cancer. Limiting the consumption of meat products and modifying the methods of preparing meat dishes may reduce exposure to carcinogenic compounds from the diet and thus reduce the risk of developing oral cancer.
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Affiliation(s)
- Sylwia Bulanda
- Department of Chemistry, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Jordana 19, 41-808 Zabrze, Poland;
| | - Karolina Lau
- Department of Environmental Medicine and Epidemiology in Zabrze, Medical University of Silesia in Katowice, Jordana 19, 41-808 Zabrze, Poland;
| | - Agnieszka Nowak
- Department of Chemistry, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Jordana 19, 41-808 Zabrze, Poland;
| | - Dorota Łyko-Morawska
- Department of Vascular Surgery, General Surgery, Angiology and Phlebology, Medical University of Silesia, Ziołowa 45/47, 40-635 Katowice, Poland;
| | - Anna Kotylak
- I Radiation and Clinical Oncology Department, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland;
| | - Beata Janoszka
- Department of Chemistry, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Jordana 19, 41-808 Zabrze, Poland;
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Hu B, He X, Sun H, Hu Y, Li F, Sun Y, Sun J, Feng L. Red and processed meat intake and risk of cardiovascular disease: A two-sample Mendelian randomization study. Clin Nutr ESPEN 2024; 60:289-297. [PMID: 38479924 DOI: 10.1016/j.clnesp.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 01/20/2024] [Accepted: 02/16/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND & AIMS Previous observational studies have yielded inconsistent findings regarding associations between red/processed meat intake and the risk of cardiovascular disease (CVD). Some studies have suggested positive relationships, while others have demonstrated no significant associations. However, causal effects remain uncertain. This 2023 Mendelianrandomization (MR) study investigated the causal relationship between red and processed meat (porkmeat, mutton meat, beef meat)intake and CVD risk by analyzing summary data from the UK Biobank (exposure), CARDIoGRAMplusC4D (coronary artery disease [CAD]), MEGASTROKE (stroke), Nielsen et al. (atrial fibrillation [AF]), HERMES (heart failure [HF]), and FinnGen (cardiovascular outcomes) public databases. METHODS Genome-wide association studies (GWAS) of red meat (pork, beef, and mutton) and processed meat were sourced from the United Kingdom (UK) Biobank. GWAS data on CVD for this study were obtained from the Gene and FinnGen consortia. The primary method employed for the two-sample MR analysis was inverse variance weighting (IVW). Sensitivity analysis was performed to assess the reliability and consistency of the results. RESULTS Genetically predicted red and processed meat consumption did not demonstrate a causal association with any CVD outcomes when employing the IVW method. For processed meat intake, the odds ratios (ORs) (95% confidence intervals CIs) in large consortia were as follows: 0.88 (0.56-1.39) for CAD, 0.91 (0.65-1.27) for AF, 0.84 (0.58-1.21) for HF, and 1.00 (0.75-1.05) for stroke. In FinnGen, the ORs were as follows: 1.15 (0.83-1.59) for CAD, 1.25 (0.75-2.07) for AF, 1.09 (0.73-1.64) for HF, and 1.27 (0.85-1.91) for stroke. For beef intake, the ORs (95% CIs) in large consortia were as follows: 0.70 (0.28-1.73) for CAD, 0.85 (0.49-1.49) for AF, 0.80 (0.35-1.83) for HF, and 1.29 (0.85-1.95) for stroke. In FinnGen, the ORs were as follows: 2.01 (0.75-5.39) for CAD, 1.83 (0.60-5.56) for AF, 0.80 (0.30-2.13) for HF, and 1.30 (0.62-2.73) for stroke. For pork intake, the ORs (95% CIs) in large consortia were as follows: 1.25 (0.37-4.22) for CAD, 1.26 (0.73-2.15) for AF, 1.71 (0.86-3.39) for HF, and 1.15 (0.63-2.11) for stroke. In FinnGen, the ORs were as follows: 1.12 (0.43-2.88) for CAD, 0.39 (0.08-1.83) for AF, 0.62 (0.20-1.88) for HF, and 0.60 (0.21-1.65) for stroke. For mutton intake, the ORs (95% CIs) in large consortia were as follows: 0.84 (0.48-1.44) for CAD, 0.84 (0.56-1.26) for AF, 1.04 (0.65-1.67) for HF, and 1.06 (0.77-1.45) for stroke. In FinnGen, the ORs were as follows: 1.20 (0.65-2.21) for CAD, 0.92 (0.44-1.92) for AF, 0.74 (0.34-1.58) for HF, and 0.75 (0.45-1.24) for stroke. The results remained robust and consistent in both the meta-analysis and supplementary MR analysis. CONCLUSIONS This MR study demonstrated no significant causal relationships between red/processed meat intake and the risk of the four CVD outcomes examined. Further investigation is warranted to confirm these findings.
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Affiliation(s)
- Bing Hu
- Department of Cardiology, Zhongshan City People's Hospital, Zhongshan, Guangdong, China
| | - Xin He
- Department of Hematology, Zhongshan City People's Hospital, Zhongshan City, Guangdong, China
| | - Hao Sun
- Tumor Surgery Department, Zhongshan City People's Hospital, Zhongshan City, Guangdong, China
| | - Yongyi Hu
- Department of Cardiology, Zhongshan City People's Hospital, Zhongshan, Guangdong, China; Department of Chronic Disease Management, Zhongshan City People's Hospital, Zhongshan City, Guangdong, China
| | - Fei Li
- Department of Cardiology, Zhongshan City People's Hospital, Zhongshan, Guangdong, China
| | - Yanxiang Sun
- Department of Cardiology, Zhongshan City People's Hospital, Zhongshan, Guangdong, China
| | - Jie Sun
- Department of Cardiology, Zhongshan City People's Hospital, Zhongshan, Guangdong, China
| | - Li Feng
- Department of Cardiology, Zhongshan City People's Hospital, Zhongshan, Guangdong, China.
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Wang DD, Li Y, Nguyen XM, Ho YL, Hu FB, Willett WC, Wilson PW, Cho K, Gaziano JM, Djoussé L. Red Meat Intake and the Risk of Cardiovascular Diseases: A Prospective Cohort Study in the Million Veteran Program. J Nutr 2024; 154:886-895. [PMID: 38163586 DOI: 10.1016/j.tjnut.2023.12.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 12/22/2023] [Accepted: 12/28/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND Red meat consumption was associated with an increased risk of cardiovascular disease (CVD) in prospective cohort studies and a profile of biomarkers favoring high CVD risk in short-term controlled trials. However, several recent systematic reviews and meta-analyses concluded with no or weak evidence for limiting red meat intake. OBJECTIVES To prospectively examine the associations between red meat intake and incident CVD in an ongoing cohort study with diverse socioeconomic and racial or ethnic backgrounds. METHODS Our study included 148,506 participants [17,804 female (12.0%)] who were free of cancer, diabetes, and CVD at baseline from the Million Veteran Program. A food frequency questionnaire measured red meat intakes at baseline. Nonfatal myocardial infarction and acute ischemic stroke were identified through a high-throughput phenotyping algorithm, and fatal CVD events were identified by searching the National Death Index. RESULTS Comparing the extreme categories of intake, the multivariate-adjusted relative risks of CVD was 1.18 (95% CI: 1.01, 1.38; P-trend < 0.0001) for total red meat, 1.14 (95% CI: 0.96, 1.36; P-trend = 0.01) for unprocessed red meat, and 1.29 (95% CI: 1.04, 1.60; P-trend = 0.003) for processed red meat. We observed a more pronounced positive association between red meat intake and CVD in African American participants than in White participants (P-interaction = 0.01). Replacing 0.5 servings/d of red meat with 0.5 servings/d of nuts, whole grains, and skimmed milk was associated with 14% (RR: 0.86; 95% CI: 0.83, 0.90), 7% (RR: 0.93; 95% CI: 0.89, 0.96), and 4% (RR: 0.96; 95% CI: 0.94, 0.99) lower risks of CVD, respectively. CONCLUSIONS Red meat consumption is associated with an increased risk of CVD. Our findings support lowering red meat intake and replacing red meat with plant-based protein sources or low-fat dairy foods as a key dietary recommendation for the prevention of CVD.
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Affiliation(s)
- Dong D Wang
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States; The Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States; Broad Institute of MIT and Harvard, Cambridge, MA, United States.
| | - Yanping Li
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Xuan-Mai Nguyen
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States
| | - Frank B Hu
- The Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States
| | - Walter C Willett
- The Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States
| | - Peter Wf Wilson
- Atlanta VA Medical Center, Atlanta, GA, United States; Emory Clinical Cardiovascular Research Institute, Atlanta, GA, United States
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Luc Djoussé
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
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6
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Stern MC, Sanchez Mendez J, Kim AE, Obón-Santacana M, Moratalla-Navarro F, Martín V, Moreno V, Lin Y, Bien SA, Qu C, Su YR, White E, Harrison TA, Huyghe JR, Tangen CM, Newcomb PA, Phipps AI, Thomas CE, Kawaguchi ES, Lewinger JP, Morrison JL, Conti DV, Wang J, Thomas DC, Platz EA, Visvanathan K, Keku TO, Newton CC, Um CY, Kundaje A, Shcherbina A, Murphy N, Gunter MJ, Dimou N, Papadimitriou N, Bézieau S, van Duijnhoven FJB, Männistö S, Rennert G, Wolk A, Hoffmeister M, Brenner H, Chang-Claude J, Tian Y, Le Marchand L, Cotterchio M, Tsilidis KK, Bishop DT, Melaku YA, Lynch BM, Buchanan DD, Ulrich CM, Ose J, Peoples AR, Pellatt AJ, Li L, Devall MAM, Campbell PT, Albanes D, Weinstein SJ, Berndt SI, Gruber SB, Ruiz-Narvaez E, Song M, Joshi AD, Drew DA, Petrick JL, Chan AT, Giannakis M, Peters U, Hsu L, Gauderman WJ. Genome-Wide Gene-Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk. Cancer Epidemiol Biomarkers Prev 2024; 33:400-410. [PMID: 38112776 DOI: 10.1158/1055-9965.epi-23-0717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 09/05/2023] [Accepted: 12/11/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND High red meat and/or processed meat consumption are established colorectal cancer risk factors. We conducted a genome-wide gene-environment (GxE) interaction analysis to identify genetic variants that may modify these associations. METHODS A pooled sample of 29,842 colorectal cancer cases and 39,635 controls of European ancestry from 27 studies were included. Quantiles for red meat and processed meat intake were constructed from harmonized questionnaire data. Genotyping arrays were imputed to the Haplotype Reference Consortium. Two-step EDGE and joint tests of GxE interaction were utilized in our genome-wide scan. RESULTS Meta-analyses confirmed positive associations between increased consumption of red meat and processed meat with colorectal cancer risk [per quartile red meat OR = 1.30; 95% confidence interval (CI) = 1.21-1.41; processed meat OR = 1.40; 95% CI = 1.20-1.63]. Two significant genome-wide GxE interactions for red meat consumption were found. Joint GxE tests revealed the rs4871179 SNP in chromosome 8 (downstream of HAS2); greater than median of consumption ORs = 1.38 (95% CI = 1.29-1.46), 1.20 (95% CI = 1.12-1.27), and 1.07 (95% CI = 0.95-1.19) for CC, CG, and GG, respectively. The two-step EDGE method identified the rs35352860 SNP in chromosome 18 (SMAD7 intron); greater than median of consumption ORs = 1.18 (95% CI = 1.11-1.24), 1.35 (95% CI = 1.26-1.44), and 1.46 (95% CI = 1.26-1.69) for CC, CT, and TT, respectively. CONCLUSIONS We propose two novel biomarkers that support the role of meat consumption with an increased risk of colorectal cancer. IMPACT The reported GxE interactions may explain the increased risk of colorectal cancer in certain population subgroups.
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Affiliation(s)
- Mariana C Stern
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Joel Sanchez Mendez
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Andre E Kim
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Mireia Obón-Santacana
- Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Ferran Moratalla-Navarro
- Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine and health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Vicente Martín
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- The Research Group in Gene - Environment and Health Interactions (GIIGAS)/Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain
- Faculty of Health Sciences, Department of Biomedical Sciences, Area of Preventive Medicine and Public Health, Universidad de León, León, Spain
| | - Victor Moreno
- Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine and health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Catherine M Tangen
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Claire E Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Eric S Kawaguchi
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Juan Pablo Lewinger
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - John L Morrison
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - David V Conti
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jun Wang
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Duncan C Thomas
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina
| | - Christina C Newton
- Department of Population Science, American Cancer Society, Atlanta, Georgia
| | - Caroline Y Um
- Department of Population Science, American Cancer Society, Atlanta, Georgia
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, California
- Department of Computer Science, Stanford University, Stanford, California
| | - Anna Shcherbina
- Department of Genetics, Stanford University, Stanford, California
- Department of Computer Science, Stanford University, Stanford, California
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Nikos Papadimitriou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | | | - Satu Männistö
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Yu Tian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- School of Public Health, Capital Medical University, Beijing, P.R. China
| | | | - Michelle Cotterchio
- Prevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, United Kingdom
| | - Yohannes Adama Melaku
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Brigid M Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Jennifer Ose
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Anita R Peoples
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Andrew J Pellatt
- Department of Cancer Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, Virginia
| | - Matthew A M Devall
- Department of Family Medicine, University of Virginia, Charlottesville, Virginia
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | | | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte California
| | - Edward Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Mingyang Song
- Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Amit D Joshi
- Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - David A Drew
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jessica L Petrick
- Slone Epidemiology Center at, Boston University, Boston, Massachusetts
| | - Andrew T Chan
- Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Marios Giannakis
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Dana-Farber Cancer Institute, Harvard Medical School, Harvard University, Boston, Massachusetts
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - W James Gauderman
- Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
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Hong T, Sun F, Wang Q, Chen X, Han K. Global burden of diabetes mellitus from 1990 to 2019 attributable to dietary factors: An analysis of the Global Burden of Disease Study 2019. Diabetes Obes Metab 2024; 26:85-96. [PMID: 37743825 DOI: 10.1111/dom.15290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/19/2023] [Accepted: 09/04/2023] [Indexed: 09/26/2023]
Abstract
AIMS To analyse spatial and temporal changes in the global burden of diabetes mellitus (DM) attributable to dietary factors from 1990 to 2019. MATERIALS AND METHODS The burden of DM was analysed in terms of age-standardized disability-adjusted life-year (DALY) rates and age-standardized death rates (ASDRs), which were obtained from the Global Burden of Disease Study 2019, and their corresponding estimated annual percentage changes (EAPCs). RESULTS The ASDR exhibited a decreasing trend (EAPC = -0.02), while the age-standardized DALY rate exhibited an increasing trend (EAPC = 0.65). Forty-four percent of the burden of DM was attributable to dietary factors, with the three largest contributors being high intake of red meat, high intake of processed meat, and low intake of fruit. Residence in a region with a high sociodemographic index (SDI) was associated with a diet low in whole grains and high in red meat and processed meat, while residence in a low-SDI region was associated with a diet low in whole grains and fruits, and high in red meat. CONCLUSIONS The age-standardized DALYs of DM attributable to dietary factors increased between 1990 and 2019 but differed among areas. The three largest dietary contributors to the burden of DM were high intake of red meat, high intake of processed meat, and low intake of fruit.
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Affiliation(s)
- Ting Hong
- Department of Endocrinology, Beilun District People's Hospital, Ningbo, China
| | - Fangfang Sun
- Department of Endocrinology, Beilun District People's Hospital, Ningbo, China
| | - Qiwei Wang
- Department of Endocrinology, Beilun District People's Hospital, Ningbo, China
| | - Xufeng Chen
- Department of Rehabilitation Medicine, Ningbo No.2 Hospital, University of the Chinese Academy of Sciences, Ningbo, China
| | - Kun Han
- Department of Neurology, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China
- Department of Geriatric and Neurology, Ningbo, Zhejiang, China
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8
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McGill SK, Levin ME, Shaheen NJ, Cotton CC, Platts-Mills TA, Commins SP. Gastrointestinal-isolated Distress is Common in Alpha-gal Allergic Patients on Mammalian Meat Challenge. J Clin Gastroenterol 2024; 58:80-84. [PMID: 36728603 PMCID: PMC10314969 DOI: 10.1097/mcg.0000000000001827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 12/03/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND AIMS Alpha-gal allergy causes a delayed reaction to mammalian meats and has been reported worldwide. Patients with the allergy may present with isolated gastrointestinal (GI) symptoms, but this phenotype is poorly understood. METHODS We pooled and analyzed symptoms and demographics of patients from two prospective cohorts of patients with a diagnosis of alpha-gal allergy who reacted after eating mammalian meat under observation. We compared the characteristics of patients who demonstrated GI-isolated symptoms on a challenge with those who exhibited symptoms outside the GI tract (skin, respiratory, and circulatory). RESULTS Among the 91 children and adult alpha-gal allergic patients who exhibited symptoms after oral challenge with mammalian meat, 72.5% experienced GI distress with one or more GI symptoms, which was the most frequent class of symptoms, compared with skin changes in 57.1% and respiratory distress in 5.5%. The most common GI symptoms were abdominal pain (71%) and vomiting (22.0%). GI-isolated symptoms occurred in 37 patients (40.7%) who reacted, and those patients reacted more quickly than patients who exhibited systemic symptoms (median onset of symptoms in GI-isolated group 90 min vs 120 min) and were more likely to be children than adults (relative risk=1.94, 95% CI: 1.04-3.63). CONCLUSIONS Isolated-GI distress occurred in 4 in every 10 alpha-gal allergic individuals who developed symptoms on oral food challenge with mammalian meat. Alpha-gal allergic patients, particularly children, may exhibit GI distress alone, and adult and pediatric gastroenterologists should be aware of the diagnosis and management of the allergy.
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Affiliation(s)
| | - Michael E Levin
- Department of Pediatric Allergology, University of Cape Town, Cape Town, South Africa
| | | | | | | | - Scott P Commins
- Division of Allergy and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Grant WB. Long Follow-Up Times Weaken Observational Diet-Cancer Study Outcomes: Evidence from Studies of Meat and Cancer Risk. Nutrients 2023; 16:26. [PMID: 38201857 PMCID: PMC10781074 DOI: 10.3390/nu16010026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 12/17/2023] [Accepted: 12/19/2023] [Indexed: 01/12/2024] Open
Abstract
For years, prospective cohort studies of diet and cancer incidence have reported smaller effects than do retrospective case-control (CC) studies. The differences have been attributed to problems with CC studies, including dietary recall bias, poor matching of cases and controls, and confounding. The hypothesis evaluated here is that long follow-up periods between ascertainment of diet and cancer incidence weaken the findings. Prospective studies of cancer incidence with respect to serum 25-hydroxyvitamin D concentration have already shown reduced benefit of higher concentrations for longer follow-up periods. Evaluating that hypothesis for dietary factors involved searching the journal literature for meta-analyses of red meat and processed meat and cancer incidence. I used findings from observational studies for bladder, breast, colorectal, and gastric cancers. To evaluate the effect of duration of follow-up time, I used two approaches. First, I plotted the relative risks for CC studies for gastric cancer with respect to consumption of 100 g/day of red meat and for bladder cancer for 50 g/day of processed meat against the interval between the dietary data and cancer incidence. Second, I compared nested CC studies of meat and cancer incidence for five breast cancer studies and one colorectal cancer study. Both approaches yielded an inverse correlation between interval or follow-up time and relative risk. My findings strongly suggest that diet near time of cancer diagnosis is more important than for longer intervals, that results from meta-analyses should be revised when possible with appropriate adjustments for duration of follow-up, and that dietary guidelines be revised accordingly.
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Affiliation(s)
- William B Grant
- Sunlight, Nutrition, and Cancer Research Center, P.O. Box 641603, San Francisco, CA 94164-1603, USA
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10
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Ünal D, Eyice-Karabacak D, Kutlu A, Demir S, Tüzer C, Arslan AF, Işık SR, Gelincik A. Oral immunotherapy in alpha-gal red meat allergy: Could specific IgE be a potential biomarker in monitoring management? Allergy 2023; 78:3241-3251. [PMID: 37545316 DOI: 10.1111/all.15840] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 06/21/2023] [Accepted: 07/05/2023] [Indexed: 08/08/2023]
Abstract
BACKGROUND Oral immunotherapy (OIT) is a promising treatment for food allergies. Our aim was to establish the long-term safety and efficacy of a novel red meat (RM) OIT in galactose-alpha-1,3-galactose (alpha-gal) allergy in adults. METHODS Out of 20 patients with confirmed RM allergy, five (41.66%) underwent an early OIT, seven (58.33%) underwent a delayed protocol and eight patients who were not desensitized formed the patient control group. 15 and 27 day RM OIT for early-onset and delayed-onset alpha-gal allergy were administered, respectively. Desensitized patients were recommended to continue eating at least 100 g RM every day for 6 months and every other day in the following 6 months. After a year, the consumption was recommended 2/3 times in a week. Patients were followed up with skin tests with commercial beef and lamb extracts, fresh raw/cooked beef and lamb and cetuximab and also with serum alpha-gal specific Immunoglobulin-E (sIgE) in the first and fifth years. RESULTS All patients who underwent OIT became tolerant to RM. During the 5 year follow-up, the median alpha-gal sIgE concentration gradually decreased in nine patients who consumed RM uneventfully while remained unchanged in the control group (p = .016). In two patients, rare tick bites acted as inducers of hypersensitivity reactions with concomitant elevation of alpha-gal sIgE concentrations whereas one patient with low follow-up alpha-gal sIgE concentrations consumed RM uneventfully after frequent tick bites. CONCLUSIONS Our study showed the long-term safety and efficacy of alpha-gal OIT. Additionally, alpha-gal sIgE seems to be a potential biomarker to monitor OIT.
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Affiliation(s)
- D Ünal
- Division of Immunology and Allergy Diseases, Internal Medicine Department, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - D Eyice-Karabacak
- Division of Immunology and Allergy Diseases, Internal Medicine Department, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - A Kutlu
- Medical Park Hospital Ordu, Ordu, Turkey
| | - S Demir
- Division of Immunology and Allergy Diseases, Internal Medicine Department, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - C Tüzer
- Division of Immunology and Allergy Diseases, Internal Medicine Department, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - A F Arslan
- Division of Immunology and Allergy Diseases, Internal Medicine Department, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - S R Işık
- Division of Immunology and Allergy Diseases, Yedikule Chest Diseases and Thoracic Surgery Training and Research Hospital, Istanbul, Turkey
| | - A Gelincik
- Division of Immunology and Allergy Diseases, Internal Medicine Department, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
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Yan D, Liu K, Li F, Shi D, Wei L, Zhang J, Su X, Wang Z. Global burden of ischemic heart disease associated with high red and processed meat consumption: an analysis of 204 countries and territories between 1990 and 2019. BMC Public Health 2023; 23:2267. [PMID: 37978363 PMCID: PMC10655305 DOI: 10.1186/s12889-023-16954-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 10/10/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Multiple studies have indicated an association between red and processed meat consumption and the incidence of ischemic heart disease (IHD). In this study, we aimed to assess the burden of IHD caused by a diet high in red and processed meat in 204 countries and territories between 1990 and 2019, using data from the Global Burden of Disease (GBD) 2019. METHODS We extracted data from the GBD 2019, which included the number of deaths, age-standardized mortality rates (ASMR), disability-adjusted life years (DALYs), and age-standardized DALYs rates (ASDR) attributed to IHD caused by a diet high in red and processed meat. We then calculated the burden of IHD attributable to a high intake of red and processed meat in each country and territory, stratified by age, sex, and socio-demographic index (SDI). RESULTS Globally, a high intake of red meat was responsible for 351,200 (95% uncertainty interval (UI): 559,000-642,700) deaths from IHD in 2019, while a high intake of processed meat was associated with 171,700 (95% UI: 30,100-320,000) deaths from IHD. Between 1990 and 2019, while the corresponding age-standardized rates declined, the numbers of deaths and DALYs increased. China had the highest number of deaths [98,386.9 (95% UI: 14,999.3-189,812.7)] caused by a high intake of red meat, while United States of America [33,129.6 (95% UI: 7,150-59,593.8)] was associated with the highest number of deaths caused by high intake of processed meat for IHD in 2019. Males experienced a greater burden of IHD caused by a high intake of red and processed meat than females. The ASMR and ASDR of IHD attributed to a high intake of red meat decreased in countries with high SDI, high-middle SDI and low SDI, while the ASMR and ASDR of IHD attributed to a high intake of processed meat decreased only in countries with high SDI and high-middle SDI. CONCLUSION Although there is a decline in the ASMR and ASDR of IHD caused by a high intake of red and processed meat, there is also an increase in deaths and DALYs number globally. Additionally, there is a heterogeneous burden of IHD related to a high intake of red and processed meat across regions and countries, with males experiencing a greater burden than females. Implementing targeted policies and interventions is required to reduce the burden of IHD caused by a high intake of red and processed meat.
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Affiliation(s)
- Dongqing Yan
- Department of Thoracic Surgery, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Kaishan Liu
- Yuhu community healthcare center, Jieyang People's Hospital (Jieyang Affiliated Hospital, Sun Yat-sen University), Jieyang, China
| | - Fajun Li
- Department of Critical Care Medicine, The First People's Hospital of Kunshan, Kunshan, China
| | - Donglei Shi
- Department of Thoracic Surgery, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Li Wei
- Department of Thoracic Surgery, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Junhang Zhang
- Department of Thoracic Surgery, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Xin Su
- Department of Respiratory, Hainan Hospital of PLA General Hospital, Sanya, China.
| | - Zhaojun Wang
- Department of Thoracic Surgery, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
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12
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Rezende LFM, Malhão TA, da Silva Barbosa R, Schilithz AOC, da Silva RCF, Moreira LGM, Ferrari G, Machado PAN, Diogenes MEL. The current and future costs of colorectal cancer attributable to red and processed meat consumption in Brazil. BMC Health Serv Res 2023; 23:1182. [PMID: 37904117 PMCID: PMC10617206 DOI: 10.1186/s12913-023-10169-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 10/16/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND Compelling evidence supports the association between red and processed meat consumption and increased risk of colorectal cancer. Herein, we estimated the current (2018) and future (2030) federal direct healthcare costs of colorectal cancer in the Brazilian Unified Health System attributable to red and processed meat consumption. Considering reduced red and processed meat consumption, we also projected attributable costs of colorectal cancer in 2040. METHODS We retrieved information on red and processed meat consumption from two nationally representative dietary surveys, the Household Budget Survey 2008-2009 and 2017-2018; relative risks for colorectal cancer from a meta-analysis; direct healthcare costs of inpatient and outpatient procedures in adults ≥ 30 years with colorectal cancer (C18-C20) from 2008-2019 by sex. RESULTS Attributable costs of colorectal cancer were calculated via comparative risk assessment, assuming a 10-year lag. In 2018, US$ 20.6 million (8.4%) of direct healthcare costs of colorectal cancer were attributable to red and processed meat consumption. In 2030, attributable costs will increase to US$ 86.6 million (19.3%). Counterfactual scenarios of reducing red and processed meat consumption in 2030 suggested that US$ 2.2 to 11.9 million and US$ 13 to 74 million could be saved in 2040, respectively. CONCLUSION Red and processed meat consumption has an escalating economic impact on the Brazilian Unified Health System. Our findings support interventions and policies focused on primary prevention and cancer.
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Affiliation(s)
- Leandro F M Rezende
- Department of Preventive Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Thainá Alves Malhão
- Instituto Nacional de Câncer, Coordenação de Prevenção e Vigilância, Rio de Janeiro, Brazil
| | - Rafael da Silva Barbosa
- Universidade Federal do Espírito Santo, Programa de Pós-Graduação em Política Social, Vitória, Brazil
| | | | | | | | - Gerson Ferrari
- Universidad de Santiago de Chile, Escuela de Ciencias de La Actividad Física, El Deport y La Salud, Santiago, Chile
| | | | - Maria Eduarda Leão Diogenes
- Instituto Nacional de Câncer, Coordenação de Prevenção e Vigilância, Rio de Janeiro, Brazil.
- Universidade do Estado do Rio de Janeiro, Instituto de Nutrição, Rio de Janeiro, Brazil.
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13
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Lu TY, Zhang WS, Zhu T, Jiang CQ, Zhu F, Jin YL, Lam TH, Cheng KK, Xu L. Associations of meat, fish and seafood consumption with kidney function in middle-aged to older Chinese: a cross-sectional study based on the Guangzhou Biobank Cohort Study. BMJ Open 2023; 13:e073738. [PMID: 37802614 PMCID: PMC10565302 DOI: 10.1136/bmjopen-2023-073738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 09/21/2023] [Indexed: 10/10/2023] Open
Abstract
OBJECTIVE To examine the associations of red meat, poultry, fish and seafood and processed meat consumption with kidney function in middle-aged to older Chinese. DESIGN A cross-sectional study based on the Guangzhou Biobank Cohort Study. SETTING Community-based sample. PARTICIPANTS 9768 participants (2743 men and 7025 women) aged 50+ years. PRIMARY AND SECONDARY OUTCOME MEASURES Primary outcome was estimated glomerular filtration rate (eGFR) derived from the Chinese-specific equation based on the Modification of Diet in Renal Disease (MDRD) equation (c-aGFR). eGFR derived from the original isotope-dilution mass spectrometry-traceable MDRD study equation, and prevalent chronic kidney disease (CKD) defined as c-aGFR<60 mL/min/1.73 m2 were considered the secondary outcomes. RESULTS After adjusting for sex, age, body mass index, education, occupation, family income, smoking status, alcohol use, physical activity, daily energy intake, self-rated health and chronic disease history (diabetes, hypertension and dyslipidaemia), compared with processed meat consumption of 0-1 portion/week, those who consumed ≥3 portions/week had lower c-aGFR (β=-2.74 mL/min/1.73 m2, 95% CI=-4.28 to -1.20) and higher risk of prevalent CKD (OR=1.40, 95% CI=1.09 to 1.80, p<0.0125). Regarding fish and seafood consumption, the associations varied by diabetes (p for interaction=0.02). Fish and seafood consumption of ≥11 portions/week, versus 0-3 portions/week, was non-significantly associated with higher c-aGFR (β=3.62 mL/min/1.73 m2, 95% CI=-0.06 to 7.30) in participants with diabetes, but was associated with lower c-aGFR in normoglycaemic participants (β=-1.51 mL/min/1.73 m2, 95% CI=-2.81 to -0.20). No significant associations of red meat or poultry consumption with c-aGFR nor prevalent CKD were found. Similar results were found for meat, fish and seafood consumption with eGFR. CONCLUSIONS Higher processed meat, fish and seafood consumption was associated with lower kidney function in normoglycaemic participants. However, the associations in participants with diabetes warrant further investigation.
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Affiliation(s)
- Ting Yu Lu
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wei Sen Zhang
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, Guangdong, China
| | - Tong Zhu
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, Guangdong, China
| | - Chao Qiang Jiang
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, Guangdong, China
| | - Feng Zhu
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, Guangdong, China
| | - Ya Li Jin
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, Guangdong, China
| | - Tai Hing Lam
- School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong
| | - Kar Keung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Lin Xu
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
- School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
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14
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Jeimy S, Zhu R. Tick-borne red meat allergy (α-gal syndrome). CMAJ 2023; 195:E1305-E1306. [PMID: 37788844 PMCID: PMC10637330 DOI: 10.1503/cmaj.231067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023] Open
Affiliation(s)
- Samira Jeimy
- Division of Clinical Immunology and Allergy, Department of Medicine, Western University, London, Ont.
| | - Rongbo Zhu
- Division of Clinical Immunology and Allergy, Department of Medicine, Western University, London, Ont
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15
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Ungerer GN, Liaw CW, Potretzke AM, Sas DJ, Gargollo PC, Granberg CF, Koo K. Examination of nutritional factors associated with urolithiasis risk in plant based meat alternatives marketed to children and infants. J Pediatr Urol 2023; 19:513.e1-513.e7. [PMID: 37150637 DOI: 10.1016/j.jpurol.2023.04.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 04/13/2023] [Accepted: 04/13/2023] [Indexed: 05/09/2023]
Abstract
INTRODUCTION The global prevalence of pediatric nephrolithiasis continues to rise amidst increased sodium and animal protein intake. Plant-based meat alternatives (PBMAs) have recently gained popularity due to health benefits, environmental sustainability, and increased retail availability. PBMAs have the potential to reduce the adverse metabolic impact of animal protein on kidney stone formation. We analyzed PBMAs targeted to children to characterize potential lithogenic risk vs animal protein. METHODS We performed a dietary assessment using a sample of PBMAs marketed to or commonly consumed by children and commercially available at national retailers. Nutrient profiles for PBMAs were compiled from US Department of Agriculture databases and compared to animal protein sources using standardized serving sizes. We also analyzed nutrient profiles for plant-based infant formulas against typical dairy protein-based formulas. Primary protein sources were identified using verified ingredient lists. Oxalate content was extrapolated from dietary data sources. RESULTS A total of 41 PBMAs were analyzed: chicken (N = 18), hot dogs (N = 3), meatballs (N = 5), fish (N = 10), and infant formula (N = 5). Most products (76%) contained a high-oxalate ingredient as the primary protein source (soy, wheat, or almond). Average oxalate content per serving was substantially higher in these products (soy 11.6 mg, wheat 3.8 mg, almond 10.2 mg) vs animal protein (negligible oxalate). PBMAs containing pea protein (24%) had lower average oxalate (0.11 mg). Most PBMAs averaged up to six times more calcium and three times more sodium per serving compared to their respective animal proteins. Protein content was similar for most categories. CONCLUSIONS Three-quarters of the examined plant-based meat products for children and infants contain high-oxalate protein sources. Coupled with higher per-serving sodium and calcium amounts, our findings raise questions about possible lithogenic risk in some PBMAs, and further studies are needed to assess the relationship between PBMAs and nephrolithiasis.
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Affiliation(s)
| | | | | | - David J Sas
- Department of Pediatric and Adolescent Medicine, Division of Pediatric Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | | | | | - Kevin Koo
- Department of Urology, Mayo Clinic, Rochester, MN, USA
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16
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Jensen CF. Letter to the editor - dietary adjustment may be more than skin deep. Cancer Causes Control 2023; 34:735-736. [PMID: 37225896 DOI: 10.1007/s10552-023-01724-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 05/17/2023] [Indexed: 05/26/2023]
Abstract
PURPOSE To evaluate the sufficiency of the dietary adjustment of dietary risk factors, made in the recent study by Li et al. published in Cancer Causes & Controls. The main research question is: are the dietary adjustments in Li et al. sufficient enough to control for specific dietary food groups? METHODS An evaluation of three methodological problems in Li et al.was performed; (1) the adjustment of total fruit intake, and how it relates to citrus fruit intake; (2) the adjustment of meat intake, and its relation to red and processed meat intake; (3) broad categorization of fish intake, and how it may limit interpretation. RESULTS Adjusting for both total fruit intake and meat intake may not be enough to control the effect of specific dietary components which may affect melanoma risk, such as citrus fruit, and red and processed meat intake, causing an increased risk of residual confounding. Moreover, with no distinguishment between fresh and canned tuna in the dietary survey, significant limitations may be present. CONCLUSION The dietary adjustments conducted in the study by Li et al. may not capture the intake of citrus fruit or red and processed meat, relevant to the risk of melanoma, and may induce residual confounding.
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Di Y, Ding L, Gao L, Huang H. Association of meat consumption with the risk of gastrointestinal cancers: a systematic review and meta-analysis. BMC Cancer 2023; 23:782. [PMID: 37612616 PMCID: PMC10463360 DOI: 10.1186/s12885-023-11218-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 07/24/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND The association between gastrointestinal cancer and types of meat consumption, including red meat, processed meat, or a combination of both, remains disputable. Therefore, we performed a systematic review and meta-analysis of prospective cohort studies to estimate the association between meat consumption and gastrointestinal cancer risk. METHODS PubMed, EmBase, and the Cochrane library databases were searched systematically for eligible studies that investigated the relation between meat consumption and the risk of developing gastrointestinal cancers, including esophageal cancer (EC), gastric cancer (GC), colorectal cancer (CRC), colon cancer (CC), rectal cancer (RC), pancreatic cancer (PC), and hepatocellular carcinoma (HCC) throughout February, 2023. The pooled relative risk (RR) with 95% confidence interval (CI) was assigned as an effect estimate and calculated using a random-effects model with inverse variance weighting. RESULTS Forty cohorts comprising 3,780,590 individuals were selected for the final quantitative analysis. The summary results indicated that a higher red meat consumption was associated with an increased risk of CRC (RR: 1.09; 95% CI: 1.02-1.16; P = 0.007) and CC (RR: 1.13; 95% CI: 1.03-1.25; P = 0.011). Moreover, a higher processed meat consumption was associated with an increased risk of CRC (RR: 1.19; 95% CI: 1.13-1.26; P < 0.001), CC (RR: 1.24; 95% CI: 1.13-1.26; P < 0.001), and RC (RR: 1.24; 95% CI: 1.08-1.42; P = 0.002). Furthermore, a higher total consumption of red and processed meat was associated with an increased risk of CRC (RR: 1.13; 95% CI: 1.06-1.20; P < 0.001), CC (RR: 1.17; 95% CI: 1.04-1.33; P = 0.012), and RC (RR: 1.20; 95% CI: 1.04-1.39; P = 0.016). Finally, the strength of higher consumption of total red and processed meat with the risk of GC, and higher consumption of red meat with the risk of RC in subgroup of high adjusted level was lower than subgroup of moderate adjusted level, while the strength of higher consumption of processed meat with the risk of RC and HCC in subgroup of follow-up ≥ 10.0 years was higher than subgroup of follow-up < 10.0 years. CONCLUSIONS This study found that meat consumption was associated with an increased risk of CRC, CC, and RC, and dietary intervention could be considered an effective strategy in preventing CRC.
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Affiliation(s)
- Yan Di
- Department of Medical Oncology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Lei Ding
- Department of Oncology Surgery/ Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Luying Gao
- Department of Ultrasond/Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongyan Huang
- Department of Medical Oncology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
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18
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Kotopoulou S, Zampelas A, Magriplis E. Reply-letter to the editor: "Nitrite and nitrate intake from processed meat is associated with elevated diastolic blood pressure (DBP)". Clin Nutr 2023; 42:1532-1533. [PMID: 37353438 DOI: 10.1016/j.clnu.2023.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 06/01/2023] [Indexed: 06/25/2023]
Affiliation(s)
- Sotiria Kotopoulou
- Laboratory of Dietetics and Quality of Life, Department of Food Science and Human Nutrition, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece; Hellenic Food Authority, Leoforos Kifissias 124 & Iatridou 2, 11526 Athens, Greece
| | - Antonis Zampelas
- Laboratory of Dietetics and Quality of Life, Department of Food Science and Human Nutrition, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece; Hellenic Food Authority, Leoforos Kifissias 124 & Iatridou 2, 11526 Athens, Greece
| | - Emmanuella Magriplis
- Laboratory of Dietetics and Quality of Life, Department of Food Science and Human Nutrition, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece.
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Wu Y, Wang M, Long Z, Ye J, Cao Y, Pei B, Gao Y, Yu Y, Han Z, Wang F, Zhao Y. How to Keep the Balance between Red and Processed Meat Intake and Physical Activity Regarding Mortality: A Dose-Response Meta-Analysis. Nutrients 2023; 15:3373. [PMID: 37571311 PMCID: PMC10421417 DOI: 10.3390/nu15153373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 07/16/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND Non-communicable diseases have become a major threat to public health, with cardiovascular diseases (CVDs) and cancer being the top two causes of death each year. OBJECTIVE Our objective is to evaluate the balanced association between the effect of red and processed meat intake on the risk of death and the effect of physical activity on the risk of mortality, where the risk of death includes all causes, CVDs, and cancers. METHODS We searched electronic databases, including PubMed, ISI Web of Science, Embase, and the Cochrane Library, for prospective studies reporting risk estimates for the association between the intake of red and processed meat, walking, and muscle-strengthening activity (MSA) and the risk of mortality from all causes, CVDs, and cancer. We extracted fully adjusted effect estimates from original studies and performed a summary analysis using the fixed and random-effect models. RESULTS A conventional meta-analysis showed that red meat and processed meat were positively associated with the risk of mortality, and daily steps and MSA were negatively associated with the risk of death. Further analysis of the dose-response relationship showed that a risk reduction (20%) from 39.5 min/week of MSA or 4100 steps/d was equivalent to an increased risk of all-cause mortality from a daily intake of 103.4 g/d of red meat or 50 g/d of processed meat. The risk was further decreased as the number of steps per day increased, but the risk reversed when the MSA exceeded the threshold (39.5 min/week). CONCLUSIONS Adherence to physical activity is an effective way to reduce the risk of mortality due to meat intake. However, the total intake of red meat and processed meat should be controlled, especially the latter. Walking is recommended as the main daily physical activity of choice, while MSAs are preferred when time is limited, but it should be noted that longer MSAs do not provide additional benefits.
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Affiliation(s)
- Yi Wu
- Department of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150028, China; (Y.W.); (Z.L.); (J.Y.); (Y.C.); (B.P.); (Y.G.); (Y.Y.); (Z.H.)
| | - Maoqing Wang
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Rd., Nangang District, Harbin 150028, China;
| | - Zhiping Long
- Department of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150028, China; (Y.W.); (Z.L.); (J.Y.); (Y.C.); (B.P.); (Y.G.); (Y.Y.); (Z.H.)
| | - Jingyu Ye
- Department of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150028, China; (Y.W.); (Z.L.); (J.Y.); (Y.C.); (B.P.); (Y.G.); (Y.Y.); (Z.H.)
| | - Yukun Cao
- Department of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150028, China; (Y.W.); (Z.L.); (J.Y.); (Y.C.); (B.P.); (Y.G.); (Y.Y.); (Z.H.)
| | - Bing Pei
- Department of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150028, China; (Y.W.); (Z.L.); (J.Y.); (Y.C.); (B.P.); (Y.G.); (Y.Y.); (Z.H.)
| | - Yu Gao
- Department of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150028, China; (Y.W.); (Z.L.); (J.Y.); (Y.C.); (B.P.); (Y.G.); (Y.Y.); (Z.H.)
| | - Yue Yu
- Department of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150028, China; (Y.W.); (Z.L.); (J.Y.); (Y.C.); (B.P.); (Y.G.); (Y.Y.); (Z.H.)
| | - Zhen Han
- Department of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150028, China; (Y.W.); (Z.L.); (J.Y.); (Y.C.); (B.P.); (Y.G.); (Y.Y.); (Z.H.)
| | - Fan Wang
- Department of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150028, China; (Y.W.); (Z.L.); (J.Y.); (Y.C.); (B.P.); (Y.G.); (Y.Y.); (Z.H.)
- NHC Key Laboratory of Etiology and Epidemiology, Harbin 150028, China
| | - Yashuang Zhao
- Department of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150028, China; (Y.W.); (Z.L.); (J.Y.); (Y.C.); (B.P.); (Y.G.); (Y.Y.); (Z.H.)
- NHC Key Laboratory of Etiology and Epidemiology, Harbin 150028, China
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20
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Bajracharya R, Kaaks R, Katzke V. Food Sources of Animal Protein in Relation to Overall and Cause-Specific Mortality-Causal Associations or Confounding? An Analysis of the EPIC-Heidelberg Cohort. Nutrients 2023; 15:3322. [PMID: 37571259 PMCID: PMC10421322 DOI: 10.3390/nu15153322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/20/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023] Open
Abstract
While prior prospective iso-caloric substitution studies show a robust association between higher intake of animal protein and risk of mortality, associations observed for mortality risk in relation to major food sources of animal protein have been generally more diverse. We used the EPIC-Heidelberg cohort to examine if confounding, notably, by smoking, adiposity, or alcohol intake, could cause inconsistencies in estimated mortality hazard ratios (HR) related to intake levels of different types of meat and dairy products. Higher intakes of red or processed meats, and lower intakes of milk or cheese, were observed among current heavy smokers, participants with obesity, or heavy alcohol drinkers. Adjusting for age, sex, and total energy intake, risk models showed increased all-cause, cardiovascular, and cancer-related mortality with higher red or processed meat intakes (HR ranging from 1.25 [95% confidence interval = 1.15-1.36] to 1.76 [1.46-2.12] comparing highest to lowest tertiles), but reduced risks for poultry, milk, or cheese (HR ranging from 0.55 [0.43-0.72] to 0.88 [0.81-0.95]). Adjusting further for smoking history, adiposity indices, alcohol consumption, and physical activity levels, the statistical significance of all these observed was erased, except for the association of processed meat intake with cardiovascular mortality (HR = 1.36 [CI = 1.13-1.64]) and cheese intake with cancer mortality (HR = 0.86 [0.76-0.98]), which, however, were substantially attenuated. These findings suggest heavy confounding and provide little support for the hypothesis that animal protein, as a nutrient, is a major determinant of mortality risk.
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Affiliation(s)
| | | | - Verena Katzke
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (R.B.); (R.K.)
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21
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Liu M, Wang H, Du S, Jiao Y, Wang Q, Su C, Zhang B, Ding G. Trajectories of Meat Intake and Risk of Type 2 Diabetes: Findings from the China Health and Nutrition Survey (1997-2018). Nutrients 2023; 15:3277. [PMID: 37513694 PMCID: PMC10385415 DOI: 10.3390/nu15143277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 07/15/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
Few articles have investigated the impact of long-term meat intake trends and their changes during follow-up on the risk of type 2 diabetes (T2D). We aimed to explore the long-term trajectories of meat intake and determine its association with T2D risk in Chinese adults. This study used seven rounds of data from the China Health and Nutrition Survey (1997, 2000, 2004, 2006, 2009, 2015, and 2018), and 4464 adults aged 18 years or older were analyzed. The group-based trajectory modeling was used to identify meat intake trajectories over 21 years. Multivariate Cox proportional hazard and restricted cubic spline models were used to analyze the association and dose-response relationship between meat intake and T2D. Four trajectory groups were identified: "low-increase intake group" (Group 1), "moderate-increase intake group" (Group 2), "medium-stable intake group" (Group 3), and "high intake group" (Group 4). Compared with Group 2, Group 4 was associated with a higher risk of developing T2D (hazard ratio 2.37 [95% CI 1.41-3.98]). After adjusting for demographic characteristics, lifestyle, total energy intake, waist circumference, and systolic blood pressure, and using the third quintile as a reference, the risk of T2D was increased by 46% in the lowest quintile with meat intake (hazard ratio 1.46 [95% CI 1.07-2.01]) and by 41% in the highest quintile with meat intake (HR 1.41 [95% CI 1.03-1.94]). A U-shape was observed between meat intake and T2D risk (p for nonlinear < 0.001). When the intake was lower than 75 g/day, the risk of T2D was negatively correlated with meat intake, while the risk of T2D was positively correlated with meat intake when the intake was higher than 165 g/day. We identified four trajectory groups of meat intake from 1997 to 2018, which were associated with different risks of developing T2D. A U-shaped association was observed between meat intake and T2D in Chinese adults.
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Affiliation(s)
- Mengran Liu
- Department of Education and Training, Chinese Center for Disease Control and Prevention, Beijing 102206, China;
| | - Huijun Wang
- Key Laboratory of Trace Element Nutrition of National Health Commission of China, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Shufa Du
- Department of Nutrition and Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yingying Jiao
- Key Laboratory of Trace Element Nutrition of National Health Commission of China, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Qi Wang
- Key Laboratory of Trace Element Nutrition of National Health Commission of China, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Chang Su
- Key Laboratory of Trace Element Nutrition of National Health Commission of China, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Bing Zhang
- Key Laboratory of Trace Element Nutrition of National Health Commission of China, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Gangqiang Ding
- Key Laboratory of Trace Element Nutrition of National Health Commission of China, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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22
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Shi W, Huang X, Schooling CM, Zhao JV. Red meat consumption, cardiovascular diseases, and diabetes: a systematic review and meta-analysis. Eur Heart J 2023; 44:2626-2635. [PMID: 37264855 DOI: 10.1093/eurheartj/ehad336] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 04/01/2023] [Accepted: 05/16/2023] [Indexed: 06/03/2023] Open
Abstract
AIMS Observational studies show inconsistent associations of red meat consumption with cardiovascular disease (CVD) and diabetes. Moreover, red meat consumption varies by sex and setting, however, whether the associations vary by sex and setting remains unclear. METHODS AND RESULTS This systematic review and meta-analysis was conducted to summarize the evidence concerning the associations of unprocessed and processed red meat consumption with CVD and its subtypes [coronary heart disease (CHD), stroke, and heart failure], type two diabetes mellitus (T2DM), and gestational diabetes mellitus (GDM) and to assess differences by sex and setting (western vs. eastern, categorized based on dietary pattern and geographic region). Two researchers independently screened studies from PubMed, Web of Science, Embase, and the Cochrane Library for observational studies and randomized controlled trials (RCTs) published by 30 June 2022. Forty-three observational studies (N = 4 462 810, 61.7% women) for CVD and 27 observational studies (N = 1 760 774, 64.4% women) for diabetes were included. Red meat consumption was positively associated with CVD [hazard ratio (HR) 1.11, 95% confidence interval (CI) 1.05 to 1.16 for unprocessed red meat (per 100 g/day increment); 1.26, 95% CI 1.18 to 1.35 for processed red meat (per 50 g/day increment)], CVD subtypes, T2DM, and GDM. The associations with stroke and T2DM were higher in western settings, with no difference by sex. CONCLUSION Unprocessed and processed red meat consumption are both associated with higher risk of CVD, CVD subtypes, and diabetes, with a stronger association in western settings but no sex difference. Better understanding of the mechanisms is needed to facilitate improving cardiometabolic and planetary health.
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Affiliation(s)
- Wenming Shi
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Southern District, Hong Kong SAR, China
| | - Xin Huang
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Southern District, Hong Kong SAR, China
| | - C Mary Schooling
- School of Public Health and Health Policy, City University of New York, 55 W 125th St, New York, NY 10027, USA
| | - Jie V Zhao
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Southern District, Hong Kong SAR, China
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23
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Nourian MM, Stone CA, Siegrist KK, Riess ML. Perioperative implications of patients with alpha gal allergies. J Clin Anesth 2023; 86:111056. [PMID: 36682226 DOI: 10.1016/j.jclinane.2023.111056] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/14/2022] [Accepted: 01/15/2023] [Indexed: 01/21/2023]
Abstract
Alpha Gal Syndrome (AGS) is an emerging immune response to mammalian products (MP) containing the oligosaccharide galactose-α-1,3 galactose (α-Gal) which includes meats and inactive ingredients in certain medications. This becomes clinically important in the perioperative realm as MPs are commonly found in the operating room, and pre- and post-operative settings, and can trigger responses as severe as anaphylaxis. In this review, authors discuss the epidemiology, diagnosis and treatment of AGS reactions. Additionally, strategies are explored in order to screen and prevent exposure to MP with a multidisciplinary approach. While this emerging allergy is still not fully understood, it is of paramount importance that all anesthesia providers recognize the implications of MP exposure in AGS patients and ultimately prevent harm in this highly vulnerable population.
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Affiliation(s)
- Maziar M Nourian
- Department of Anesthesiology, Vanderbilt University Medical Center, 1161 21(st) Avenue South, Nashville, TN 37232, USA.
| | - Cosby A Stone
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care Medicine, Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN 37232, USA.
| | - Kara K Siegrist
- Department of Anesthesiology, Vanderbilt University Medical Center, 1161 21(st) Avenue South, Nashville, TN 37232, USA.
| | - Matthias L Riess
- Department of Anesthesiology, Vanderbilt University Medical Center, 1161 21(st) Avenue South, Nashville, TN 37232, USA; Anesthesiology, Tennessee Valley Healthcare System Veterans Affairs Medical Center, 1310 24(th) Ave South, Nashville, TN 37212, USA; Department of Pharmacology, Vanderbilt University, 465 21(st) Avenue South, Nashville, TN 37232, USA.
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24
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Jeong J, Lim K, Shin S. The association between meat intake and the risk of coronary heart disease in Korean men using the Framingham risk score: A prospective cohort study. Nutr Metab Cardiovasc Dis 2023; 33:1158-1166. [PMID: 36849318 DOI: 10.1016/j.numecd.2023.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 01/31/2023] [Accepted: 02/03/2023] [Indexed: 02/12/2023]
Abstract
BACKGROUND AND AIMS Research suggests that meat intake may increase the risk of coronary heart disease (CHD), but most studies take place in Western countries, where the types and amount of meat products consumed differ from those in Asian countries. We aimed to identify the association between meat intake and CHD risk in Korean male adults, using the Framingham risk score. METHODS AND RESULTS We used data from the Korean Genome and Epidemiology Study (KoGES) Health Examinees (HEXA) study, including 13,293 Korean male adults. We estimated the association of meat intake with ≥20% 10-year CHD risk using Cox proportional hazards regression models to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs). Subjects with the highest total meat intake had a 53% (model 4: HR 1.53, 95% CI 1.05-2.21) increased 10-year CHD risk compared to those with the lowest intake. Those with the highest red meat intake had a 55% (model 3: HR 1.55, 95% CI 1.16-2.06) increased 10-year CHD risk compared to those with the lowest intake. No association was observed between poultry or processed meat intake and 10-year CHD risk. CONCLUSIONS Consumption of total meat and red meat was associated with a higher risk of CHD in Korean male adults. Further studies are needed to provide criteria for the appropriate meat intake by meat type to reduce CHD risk.
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Affiliation(s)
- Jiwon Jeong
- Department of Food and Nutrition, Chung-Ang University, Gyeonggi-do 17546, Republic of Korea
| | - Kyungjoon Lim
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Camperdown, NSW, 2006, Australia
| | - Sangah Shin
- Department of Food and Nutrition, Chung-Ang University, Gyeonggi-do 17546, Republic of Korea.
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25
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Fu J, Shin S. The association of dietary patterns with incident chronic kidney disease and kidney function decline among middle-aged Korean adults: a cohort study. Epidemiol Health 2023; 45:e2023037. [PMID: 37311642 PMCID: PMC10586924 DOI: 10.4178/epih.e2023037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 03/07/2023] [Indexed: 06/15/2023] Open
Abstract
OBJECTIVES This study assessed the association of dietary patterns with the incidence of chronic kidney disease (CKD) and kidney function decline among Korean adults. METHODS Data were collected from the records of 20,147 men and 39,857 women who participated in the Health Examinees study. Principal component analysis was used to identify 3 dietary patterns (prudent, flour-based food and meat, and white rice-based), and CKD risk was defined using the Epidemiology Collaboration equation for estimated glomerular filtration rate: (eGFR) <60 mL/min/1.73 m2. A kidney function decline was defined as a >25% decrease in eGFR from baseline. RESULTS During the 4.2-year follow-up, 978 participants developed CKD and 971 had a 25% decline in kidney function. After adjusting for potential impact variables, compared with the lowest quartile of the prudent dietary pattern, participants in the highest quartile had a 37% lower risk of kidney function decline among men (hazard ratio [HR], 0.63; 95% confidence interval [CI], 0.47 to 0.85); while higher adherence to the flour-based food and meat dietary pattern was associated with an increased risk of CKD in both men (HR, 1.63; 95% CI, 1.22 to 2.19) and women (HR, 1.47; 95% CI, 1.05 to 2.05) as well as a decline in kidney function in both men (HR, 1.49; 95% CI, 1.07 to 2.07) and women (HR, 1.77; 95% CI, 1.33 to 2.35). CONCLUSIONS Although a higher adherence to the prudent dietary pattern was inversely associated with the risk of kidney function decline in men, there was no association with CKD risk. In addition, a higher adherence to the flour-based food and meat dietary pattern increased the risk of CKD and kidney function decline. Further clinical trials are needed to confirm these associations.
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Affiliation(s)
- Jialei Fu
- Department of Food and Nutrition, Chung-Ang University, Anseong, Korea
| | - Sangah Shin
- Department of Food and Nutrition, Chung-Ang University, Anseong, Korea
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26
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Mayfield KE, Plasencia J, Ellithorpe M, Anderson RK, Wright NC. The Consumption of Animal and Plant Foods in Areas of High Prevalence of Stroke and Colorectal Cancer. Nutrients 2023; 15:nu15040993. [PMID: 36839350 PMCID: PMC9958908 DOI: 10.3390/nu15040993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/08/2023] [Accepted: 02/10/2023] [Indexed: 02/18/2023] Open
Abstract
Diets of red and processed meat have been reported as important risk factors for developing colorectal cancer. Given the racial and ethnic differences in the incidence of colorectal cancer, patterns of food consumption, and areas of residence, particularly in the South, more data is needed on the relationship between residing in a high stroke area, colorectal cancer incidence levels, and red meat and processed meat consumption. We created online surveys to ascertain meat, red meat, and healthy food consumption levels. We used OLS regression to evaluate the association between residence in Stroke Belt states and colorectal cancer incidence quartiles with food consumption. We further used path analysis using structural equation modeling to evaluate if age, sex, race/ethnicity, income, and comorbidity index mediated the association between residence in the eight-state Stroke Belt, colorectal cancer incidence groups, and meat consumption. Our sample included 923 participants, with 167 (18.1%) residing in the Stroke Belt and 13.9% being in the highest colorectal cancer incidence group. The findings show that residing in a Stroke Belt state is predictive of the consumption of overall meat 0.93 more days per week or red meat 0.55 more days per week compared to those not residing in a Stroke Belt state. These data can be used to develop future diet interventions in these high-risk areas to reduce rates of colorectal cancer and other negative health outcomes.
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Affiliation(s)
- Kellie E. Mayfield
- Department of Nutrition, Georgia State University, Atlanta, GA 30302, USA
- Correspondence: ; Tel.:+1-404-413-1080
| | - Julie Plasencia
- Department of Dietetics and Human Nutrition, University of Kentucky, Lexington, KY 40506, USA
| | - Morgan Ellithorpe
- Department of Communication, University of Delaware, Newark, DE 19716, USA
| | - Raeda K. Anderson
- Virginia C. Crawford Research Institute, Shepherd Center and Department of Sociology, Georgia State University, Atlanta, GA 30302, USA
| | - Nicole C. Wright
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA
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Shimomura Y, Sobue T, Zha L, Kitamura T, Iwasaki M, Inoue M, Yamaji T, Tsugane S, Sawada N. Association between meat, fish, and fatty acid intake and incidence of acute myeloid leukemia and myelodysplastic syndrome: the Japan Public Health Center-based Prospective Study. Environ Health Prev Med 2023; 28:19. [PMID: 36878605 PMCID: PMC10025862 DOI: 10.1265/ehpm.22-00233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 02/08/2023] [Indexed: 03/08/2023] Open
Abstract
BACKGROUND The association between meat, fish, or fatty acid intake and acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) has been investigated in a few studies, and the results were inconsistent. In addition, most studies are mainly based on the United States and European countries, in which the dietary patterns differ from that in Asia. Therefore, the risk of AML/MDS from meat, fish, or fatty acid intake in Asia requires further exploration. The aim of this study was to investigate the association between AML/MDS incidence and meat, fish, or fatty acid intake using the Japan Public Health Center-based prospective study. METHODS The present study included 93,366 participants who were eligible for analysis and followed up from the 5-year survey date until December 2012. We estimated the impact of their intake on AML/MDS incidence using a Cox proportional hazards model. RESULTS The study participants were followed up for 1,345,002 person-years. During the follow-up period, we identified 67 AML and 49 MDS cases. An increased intake of processed red meat was significantly associated with the incidence of AML/MDS, with a hazard ratio of 1.63 (95% confidence interval, 1.03-2.57) for the highest versus lowest tertile and a Ptrend of 0.04. Meanwhile, the intake of other foods and fatty acids was not associated with AML/MDS. CONCLUSION In this Japanese population, processed red meat was associated with an increased incidence of AML/MDS.
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Affiliation(s)
- Yoshimitsu Shimomura
- Department of Environmental Medicine and Population Science, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Department of Hematology, Kobe City Hospital Organization Kobe City Medical Center General Hospital, Kobe, Japan
| | - Tomotaka Sobue
- Department of Environmental Medicine and Population Science, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Ling Zha
- Department of Environmental Medicine and Population Science, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Tetsuhisa Kitamura
- Department of Environmental Medicine and Population Science, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Manami Inoue
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
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Wu H, Gu Y, Meng G, Zhang Q, Liu L, Wu H, Zhang S, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Chang H, Niu K. Association between the intake of animal offal and depressive symptoms: the TCLSIH Cohort Study. Food Funct 2023; 14:3722-3731. [PMID: 36987573 DOI: 10.1039/d2fo03311a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
Background: Prospective cohort studies linking animal offal intake and depressive symptoms are limited. This study aimed to prospectively investigate the association between animal offal consumption and the risk of depressive...
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Affiliation(s)
- Hanzhang Wu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hong Chang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Kaijun Niu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
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29
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Ramachandran R, Kumar V, Isaac-Coss G, Huang T, Venugopal S. Abdominal Calcifications in a Patient From the Congo Basin with History of Snake Meat Consumption: Radiographic Evidence of Prior Armillifer Infection. J Investig Med High Impact Case Rep 2023; 11:23247096231188249. [PMID: 37477128 PMCID: PMC10363905 DOI: 10.1177/23247096231188249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 06/16/2023] [Accepted: 06/29/2023] [Indexed: 07/22/2023] Open
Abstract
We report a case of a 60-year-old asymptomatic male with history of consumption of uncooked snake meat while living in the Congo basin and prior imaging showing multiple abdominal calcifications. Patient had multiple subepithelial colonic lesions identified during screening colonoscopy and microscopic examination of the lesions demonstrated a calcified nodule in the submucosa with overlying normal mucosa. However, no parasite was identified within the calcified nodule. Given the history of consumption of uncooked snake meat and the typical radiographic feature of multiple abdominal calcifications, it is very likely that the patient's radiographic abnormalities are due to prior Armillifer armillatus infection, a parasitic infection acquired from consumption of uncooked snake meat. Patient was asymptomatic at the time of evaluation and was not given anti-parasitic treatment.
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Affiliation(s)
| | | | | | - Tiangui Huang
- New York City Health and Hospitals (Elmhurst), NY, USA
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30
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Damigou E, Kosti RI, Panagiotakos DB. White Meat Consumption and Cardiometabolic Risk Factors: A Review of Recent Prospective Cohort Studies. Nutrients 2022; 14:nu14245213. [PMID: 36558372 PMCID: PMC9781954 DOI: 10.3390/nu14245213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022] Open
Abstract
Although the association between meat consumption and cardiovascular diseases (CVDs) has been extensively investigated, studies focusing specifically on the relationship between white meat consumption and CVD risk factors are fewer with controversial findings. The aim was to evaluate the relationship between white meat consumption and the incidence of cardiometabolic risk factors. A comprehensive literature search of PubMed articles was conducted from 2010 to 2022 (1 November), according to PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. Thirteen prospective cohort studies were selected studying mainly poultry, with the exception of one study that also analyzed rabbit meat. From the seven studies on the risk of type 2 diabetes mellitus, four studies found no association, two studies found positive associations, and two studies found inverse associations when comparing poultry to other meats. Of the two studies on the risk of hypertension, one observed no association and one a positive association. Of the two studies on weight management, one observed a positive association with weight gain, the other study observed the same relationship only for chicken with skin, while for chicken without skin a positive relationship with relative weight loss was found. As for metabolic syndrome and its components, two studies revealed inverse associations with white meat intake. Only fresh lean white meat consumption seems to have potential beneficial effects on cardiometabolic risk factors. Future research should scrutinize consumption habits related to white meat intake when investigating its association with cardiometabolic risk factors.
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Affiliation(s)
- Evangelia Damigou
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 176 76 Athens, Greece
| | - Rena I. Kosti
- Department of Nutrition and Dietetics, School of Physical Education, Sports and Dietetics, University of Thessaly, 382 21 Trikala, Greece
| | - Demosthenes B. Panagiotakos
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 176 76 Athens, Greece
- Correspondence:
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31
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Baleato CL, Ferguson JJA, Oldmeadow C, Mishra GD, Garg ML. Plant-Based Dietary Patterns versus Meat Consumption and Prevalence of Impaired Glucose Intolerance and Diabetes Mellitus: A Cross-Sectional Study in Australian Women. Nutrients 2022; 14:nu14194152. [PMID: 36235806 PMCID: PMC9573342 DOI: 10.3390/nu14194152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/27/2022] [Accepted: 10/02/2022] [Indexed: 11/04/2022] Open
Abstract
This study aimed to compare the prevalence of impaired glucose tolerance (IGT) and diabetes mellitus (DM) among Australian women following plant-based diets (PBD) compared to regular meat eaters. A cross sectional analysis of the mid-aged cohort (1946−1951) of the Australian Longitudinal Study on Women’s Health was conducted on completers of Survey 7 in 2013 with complete FFQ data available (n = 9102). Dietary patterns were categorized as PBD (vegan, lacto-ovo vegetarian, pesco-vegetarian, semi-vegetarian) and regular meat eaters. Meat eaters were further categorized into high and low consumption and outcomes included self-reported prevalence of IGT and DM. Participants were identified as regular meat eaters (n = 8937) and PBD (n = 175). Prevalence of IGT was lower in PBD (0−1.2%) compared to regular meat eaters (9.1%). Consolidation of PBD to a single group (vegetarians) indicated a lower prevalence of DM in vegetarians compared to regular meat eaters (3.9% vs. 9.1%). Women consuming meat daily/multiple times per day had significantly higher odds of IGT (OR 1.5, 95%CI 1.1 to 2.1, p = 0.02). Individuals consuming processed meat daily/multiple times per day had significantly higher odds of DM compared to those consuming less than daily (Odds ratio (OR) 1.7, 95% confidence interval (CI) 1.3 to 2.3, p < 0.0001). After adjustment for covariates, statistical significance was lost largely due to the addition of BMI to the model. Prevalence of IGT and DM were lower in women following PBD and higher in high consumers of meat and processed meat. The relationship between meat consumption and IGT/diabetes status appears to be mediated, at least in part, by an increase in body mass index (BMI). Future studies are warranted to investigate the mechanisms and other lifestyle factors underpinning the association between high meat consumption and increased risk of IGT and DM.
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Affiliation(s)
- Courtney L. Baleato
- Nutraceuticals Research Program, School of Biomedical Sciences & Pharmacy, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Jessica J. A. Ferguson
- Nutraceuticals Research Program, School of Biomedical Sciences & Pharmacy, University of Newcastle, Callaghan, NSW 2308, Australia
- Food & Nutrition Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
| | - Christopher Oldmeadow
- Clinical Research Design, Information Technology and Statistical Support Unit, Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
| | - Gita D. Mishra
- School of Public Health, The University of Queensland, Herston, QLD 4006, Australia
| | - Manohar L. Garg
- Nutraceuticals Research Program, School of Biomedical Sciences & Pharmacy, University of Newcastle, Callaghan, NSW 2308, Australia
- Food & Nutrition Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- Correspondence: ; Tel.: +61-2-49215647
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32
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Collatuzzo G, Etemadi A, Sotoudeh M, Nikmanesh A, Poustchi H, Khoshnia M, Pourshams A, Hashemian M, Roshandel G, Dawsey SM, Abnet CC, Kamangar F, Brennan P, Boffetta P, Malekzadeh R. Meat consumption and risk of esophageal and gastric cancer in the Golestan Cohort Study, Iran. Int J Cancer 2022; 151:1005-1012. [PMID: 35489023 PMCID: PMC9543688 DOI: 10.1002/ijc.34056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 03/25/2022] [Accepted: 03/29/2022] [Indexed: 11/12/2022]
Abstract
Red meat and processed meat are associated with some gastrointestinal cancers. Our study aims to investigate the association of different meat types with esophageal and gastric cancer (EC, GC) in a high-risk population. The Golestan Cohort Study (GCS) is a population-based cohort of 50 045 individuals aged 40 to 75 from northeast Iran. Detailed data on different exposures were collected using validated questionnaires. We considered quintiles of meat consumption, using grams and density (g/1000 kcal/day). We calculated intake of red, processed, organ and white meat, as well as total red meat, including the first three. We used proportional hazards regression models to estimate hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) for the association between meat types and cancer. During 12 years of follow-up, out of 49 585 participants (57.4% women), 369 developed EC (48.2% women) and 368 developed GC (27.5% women), including 309 esophageal squamous cell, 20 esophageal adenocarcinomas, 216 cardia and 95 non-cardia GC. No association was found for EC except for red meat among females (HR for one quintile increase 1.13, 95% CI = 1.00-1.27). The risk of GC increased for intake of total red meat (HR 1.08, 95% CI = 1.00-1.17) and red meat separately (HR 1.09, 95% CI = 1.00-1.18). The HR for red meat and non-cardia GC was 1.23 (95% CI = 1.02-1.48). No associations were observed for other types of meat. In conclusion, in this high-risk population red meat intake is associated with GC, but not EC, suggesting a substantial role of this modifiable factor in determining the burden of GC.
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Affiliation(s)
- Giulia Collatuzzo
- Department of Medical and Surgical SciencesUniversity of BolognaBolognaItaly
| | - Arash Etemadi
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and GeneticsNational Cancer InstituteBethesdaMarylandUSA
- Digestive Oncology Research Center, Digestive Diseases Research InstituteTehran University of Medical Sciences, Shariati HospitalTehranIran
| | - Masoud Sotoudeh
- Digestive Oncology Research Center, Digestive Diseases Research InstituteTehran University of Medical Sciences, Shariati HospitalTehranIran
| | - Arash Nikmanesh
- Digestive Oncology Research Center, Digestive Diseases Research InstituteTehran University of Medical Sciences, Shariati HospitalTehranIran
| | - Hossein Poustchi
- Digestive Oncology Research Center, Digestive Diseases Research InstituteTehran University of Medical Sciences, Shariati HospitalTehranIran
| | - Masoud Khoshnia
- Digestive Oncology Research Center, Digestive Diseases Research InstituteTehran University of Medical Sciences, Shariati HospitalTehranIran
- Golestan Research Center of Gastroenterology and HepatologyGolestan University of Medical SciencesGorganIran
| | - Akram Pourshams
- Digestive Oncology Research Center, Digestive Diseases Research InstituteTehran University of Medical Sciences, Shariati HospitalTehranIran
| | - Maryam Hashemian
- Digestive Oncology Research Center, Digestive Diseases Research InstituteTehran University of Medical Sciences, Shariati HospitalTehranIran
- Department of Biology, School of Art and SciencesUtica CollegeUticaNew YorkUSA
| | - Gholamreza Roshandel
- Digestive Oncology Research Center, Digestive Diseases Research InstituteTehran University of Medical Sciences, Shariati HospitalTehranIran
- Golestan Research Center of Gastroenterology and HepatologyGolestan University of Medical SciencesGorganIran
| | - Sanford M. Dawsey
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and GeneticsNational Cancer InstituteBethesdaMarylandUSA
| | - Christian C. Abnet
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and GeneticsNational Cancer InstituteBethesdaMarylandUSA
| | - Farin Kamangar
- Department of Biology, School of Computer, Mathematical, and Natural SciencesMorgan State UniversityBaltimoreMarylandUSA
| | - Paul Brennan
- Section of GeneticsInternational Agency for Research on CancerLyonFrance
| | - Paolo Boffetta
- Department of Medical and Surgical SciencesUniversity of BolognaBolognaItaly
- Stony Brook Cancer CenterStony Brook UniversityStony BrookNew YorkUSA
| | - Reza Malekzadeh
- Digestive Oncology Research Center, Digestive Diseases Research InstituteTehran University of Medical Sciences, Shariati HospitalTehranIran
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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. Health effects associated with consumption of unprocessed red meat: a Burden of Proof study. Nat Med 2022; 28:2075-2082. [PMID: 36216940 PMCID: PMC9556326 DOI: 10.1038/s41591-022-01968-z] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 07/26/2022] [Indexed: 12/19/2022]
Abstract
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.
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Affiliation(s)
- Haley Lescinsky
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Ashkan Afshin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Charlie Ashbaugh
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Catherine Bisignano
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Michael Brauer
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Giannina Ferrara
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Jiawei He
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Vincent Iannucci
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Laurie B Marczak
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Susan A McLaughlin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Erin C Mullany
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Marie C Parent
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Audrey L Serfes
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Reed J D Sorensen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Aleksandr Y Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- Department of Applied Mathematics, University of Washington, Seattle, WA, USA
| | - Peng Zheng
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
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Masdor NA, Mohammed Nawi A, Hod R, Wong Z, Makpol S, Chin SF. The Link between Food Environment and Colorectal Cancer: A Systematic Review. Nutrients 2022; 14:nu14193954. [PMID: 36235610 PMCID: PMC9573320 DOI: 10.3390/nu14193954] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/15/2022] [Accepted: 09/19/2022] [Indexed: 11/16/2022] Open
Abstract
Food and diet are critical risk factors for colorectal cancer (CRC). Food environments (FEs) can contribute to disease risk, including CRC. This review investigated the link between FEs and CRC incidence and mortality risk. The systematic search of studies utilised three primary journal databases: PubMed, Scopus, and Web of Science. Retrieved citations were screened and the data were extracted from articles related to the FE-exposed populations who were at risk for CRC and death. We evaluated ecological studies and cohort studies with quality assessment and the Newcastle-Ottawa Quality Assessment Form for Cohort Studies, respectively. A descriptive synthesis of the included studies was performed. Out of 89 articles identified, eight were eligible for the final review. The included studies comprised six ecological studies and two cohort studies published from 2013 to 2021. Six articles were from the US, one was from Africa, and one was from Switzerland. All eight studies were of good quality. The significant finding was that CRC incidence was associated with the availability of specific foods such as red meat, meat, animal fats, energy from animal sources, and an unhealthy FE. Increased CRC mortality was linked with the availability of animal fat, red meat, alcoholic beverages, and calorie food availability, residence in food deserts, and lower FE index. There were a variety of associations between CRC and the FE. The availability of specific foods, unhealthy FE, and food desserts impact CRC incidence and mortality. Creating a healthy FE in the future will require focus and thorough planning.
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Affiliation(s)
- Noor Azreen Masdor
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia
| | - Azmawati Mohammed Nawi
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia
- Correspondence:
| | - Rozita Hod
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia
| | - Zhiqin Wong
- Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia
| | - Suzana Makpol
- Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia
| | - Siok-Fong Chin
- UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia
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Giosuè A, Calabrese I, Riccardi G, Vaccaro O, Vitale M. Consumption of different animal-based foods and risk of type 2 diabetes: An umbrella review of meta-analyses of prospective studies. Diabetes Res Clin Pract 2022; 191:110071. [PMID: 36067917 DOI: 10.1016/j.diabres.2022.110071] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 07/29/2022] [Accepted: 08/31/2022] [Indexed: 12/27/2022]
Abstract
We performed an umbrella review of dose-response meta-analyses of prospective studies reporting the incidence of type 2 diabetes associated with the consumption of animal-based foods. A systematic search was conducted in PubMed, Web of Science, Scopus, and Embase according to PRISMA. Thirteen meta-analyses are included in the study providing 175 summary risk ratio estimates. The consumption of 100 g/day of total or red meat, or 50 g/day of processed meat, were associated with an increased risk; RR and 95 % CI were respectively 1.20, 1.13-1.27; 1.22, 1.14-1.30 and 1.30, 1.22-1.39. White meat (50 g/day) was associated with an increased risk, but of lesser magnitude (RR 1.04, 95 % CI 1.00-1.08). A risk reduction was reported for 200 g/day of total dairy (RR 0.95, 95 % CI 0.92-0.98) or low-fat dairy (RR 0.96, 95 % CI 0.92-1.00) or milk (RR 0.90, 95 % CI 0.83-0.98), or 100 g/day of yogurt (RR 0.94, 95 % CI 0.90-0.98). No association with diabetes risk was reported for fish or eggs. In conclusions animal-based foods have a different association with diabetes risk. To reduce diabetes risk the consumption of red and processed meat should be restricted; a moderate consumption of dairy foods, milk and yogurt, can be encouraged; moderate amounts of fish and eggs are allowed.
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Affiliation(s)
- Annalisa Giosuè
- Dept. of Clinical Medicine and Surgery, Federico II University, Naples, Italy.
| | - Ilaria Calabrese
- Dept. of Clinical Medicine and Surgery, Federico II University, Naples, Italy.
| | - Gabriele Riccardi
- Dept. of Clinical Medicine and Surgery, Federico II University, Naples, Italy.
| | - Olga Vaccaro
- Dept. of Pharmacy, Federico II University, Naples, Italy.
| | - Marilena Vitale
- Dept. of Clinical Medicine and Surgery, Federico II University, Naples, Italy.
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Uusitupa M. Sources of animal proteins and type 2 diabetes risk - decreasing the consumption of red meat is well grounded. Diabetes Res Clin Pract 2022; 191:110072. [PMID: 36067914 DOI: 10.1016/j.diabres.2022.110072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 08/31/2022] [Indexed: 11/22/2022]
Affiliation(s)
- Matti Uusitupa
- Professor Emeritus, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Finland
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Dong C, Chan SSM, Jantchou P, Racine A, Oldenburg B, Weiderpass E, Heath AK, Tong TYN, Tjønneland A, Kyrø C, Bueno de Mesquita B, Kaaks R, Katzke VA, Bergman MM, Boeing H, Palli D, Masala G, Tumino R, Sacerdote C, Colorado-Yohar SM, Sánchez MJ, Grip O, Lindgren S, Luben R, Huybrechts I, Gunter MJ, Mahamat-Saleh Y, Boutron-Ruault MC, Carbonnel F. Meat Intake Is Associated with a Higher Risk of Ulcerative Colitis in a Large European Prospective Cohort Studyø. J Crohns Colitis 2022; 16:1187-1196. [PMID: 35396592 PMCID: PMC10020974 DOI: 10.1093/ecco-jcc/jjac054] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND AND AIMS We aimed to investigate the association between protein intake and risk of inflammatory bowel disease [IBD] in the European Prospective Investigation into Cancer and Nutrition. METHODS A total of 413 593 participants from eight European countries were included. Dietary data were collected at baseline from validated food frequency questionnaires. Dietary data were calibrated to correct errors in measures related to each country-specific questionnaire. Associations between proteins [total, animal, and vegetable] or food sources of animal proteins, and IBD risk were estimated by Cox proportional hazard models. RESULTS After a mean follow-up of 16 years, 177 patients with Crohn's disease [CD] and 418 with ulcerative colitis [UC], were identified. There was no association between total protein, animal protein, or vegetable protein intakes and CD or UC risks. Total meat and red meat intakes were associated with UC risk (hazard ratio [HR] for the 4th vs 1st quartile = 1.40, 95% confidence interval [CI] = 0.99-1.98, p-trend = 0.01; and 1.61, 95% CI = 1.10-2.36, p-trend = 0.007, respectively]. There was no association between other food sources of animal protein [processed meat, fish, shellfish, eggs, poultry] and UC. We found no association between food sources of animal proteins and CD risk. CONCLUSIONS Meat and red meat consumptions are associated with higher risks of UC. These results support dietary counselling of low meat intake in people at high-risk of IBD.
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Affiliation(s)
- Catherine Dong
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
- Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris and Université Paris-Saclay, Le Kremlin Bicêtre, France
| | - Simon S M Chan
- Norwich Medical School, Department of Medicine, University of East Anglia, Norwich, UK
- Department of Gastroenterology, Norfolk and Norwich University Hospital NHS Trust, Norwich, UK
| | - Prevost Jantchou
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
- Sainte Justine University Hospital, Montréal, QC, Canada
| | - Antoine Racine
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
- Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris and Université Paris-Saclay, Le Kremlin Bicêtre, France
| | - Bas Oldenburg
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Bas Bueno de Mesquita
- National Institute for Public Health and the Environment [RIVM], Bilthoven, The Netherlands
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research
Center, Heidelberg, Germany
| | - Verena A Katzke
- Division of Cancer Epidemiology, German Cancer Research
Center, Heidelberg, Germany
| | - Manuela M Bergman
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam, Germany
| | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute, Florence, Italy
| | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute, Florence, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Sandra M Colorado-Yohar
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- CIBER Epidemiologia y Salud Pública [CIBERESP], Madrid, Spain
- National School of Public Health, Research Group on Demography and Health, University of Antioquia, Medellín, Colombia
| | - Maria-Jose Sánchez
- CIBER Epidemiologia y Salud Pública [CIBERESP], Madrid, Spain
- Escuela Andaluza de Salud Pública [EASP], Granada, Spain
- Instituto de Investigación Biosanitaria, Granada, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Olof Grip
- Department of Gastroenterology and Hepatology, University Hospital Malmö, Malmö, Sweden
| | - Stefan Lindgren
- Department of Gastroenterology and Hepatology, University Hospital Malmö, Malmö, Sweden
| | - Robert Luben
- Strangeways Research Laboratory, Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Inge Huybrechts
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Marc J Gunter
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Yahya Mahamat-Saleh
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
| | - Marie-Christine Boutron-Ruault
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
| | - Franck Carbonnel
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
- Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris and Université Paris-Saclay, Le Kremlin Bicêtre, France
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Alegria-Lertxundi I, Bujanda L, Arroyo-Izaga M. Role of Dairy Foods, Fish, White Meat, and Eggs in the Prevention of Colorectal Cancer: A Systematic Review of Observational Studies in 2018-2022. Nutrients 2022; 14:nu14163430. [PMID: 36014940 PMCID: PMC9412852 DOI: 10.3390/nu14163430] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 08/11/2022] [Accepted: 08/17/2022] [Indexed: 01/10/2023] Open
Abstract
There is limited evidence to support the relationship between the consumption of animal-source foods other than red meat and processed meat and colorectal cancer (CRC) risk. We aimed to examine the recent available evidence from observational studies about the association between these food groups’ intake and CRC risk. For this systematic review, we searched the PubMed database for the last five years. A total of fourteen cohort studies and seven case−control studies comprising a total of >60,000 cases were included. The studies showed a consistent significant decrease in CRC risk, overall and by subsites, associated with a high consumption of total dairy products. Less strong effects associated with the consumption of any subtype of dairy product were observed. Fish consumption, overall and by subtypes (oily or non-oily and fresh or canned), showed a mild inverse association with CRC risk. The association between white meat and egg intake and CRC risk was low and based on a small number of studies; thus, these findings should be interpreted with caution. In conclusion, a high consumption of total dairy products was associated with a lower CRC risk. However, evidence for fish, white meat, and eggs and the CRC risk were not as strong.
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Affiliation(s)
- Iker Alegria-Lertxundi
- Department of Pharmacy and Food Sciences, Faculty of Pharmacy, University of the Basque Country UPV/EHU, 01006 Vitoria-Gasteiz, Spain
| | - Luis Bujanda
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute, 20014 San Sebastian, Spain
- Department of Gastroenterology, University of the Basque Country UPV/EHU, 20018 San Sebastian, Spain
- Consortium for Biomedical Research in Hepatic and Digestive Diseases, CIBERehd, 28029 Madrid, Spain
| | - Marta Arroyo-Izaga
- Department of Pharmacy and Food Sciences, Faculty of Pharmacy, University of the Basque Country UPV/EHU, 01006 Vitoria-Gasteiz, Spain
- BIOMICS Research Group, Microfluidics & BIOMICS Cluster, University of the Basque Country UPV/EHU, 01006 Vitoria-Gasteiz, Spain
- Correspondence:
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Gordon-Dseagu VLZ, Wiseman MJ, Allen K, Buttriss J, Williams C. Troubling assumptions behind GBD 2019 on the health risks of red meat. Lancet 2022; 400:427-428. [PMID: 35934002 DOI: 10.1016/s0140-6736(22)01283-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 06/27/2022] [Indexed: 11/20/2022]
Affiliation(s)
| | | | - Kate Allen
- World Cancer Research Fund International, London N1 9FW, UK
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40
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Wang M, Ma H, Song Q, Zhou T, Hu Y, Heianza Y, Manson JE, Qi L. Red meat consumption and all-cause and cardiovascular mortality: results from the UK Biobank study. Eur J Nutr 2022; 61:2543-2553. [PMID: 35220441 DOI: 10.1007/s00394-022-02807-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 01/11/2022] [Indexed: 12/21/2022]
Abstract
PURPOSE To investigate the prospective associations between red meat consumption and all-cause and cardiovascular diseases (CVD) mortality, and to assess the modification effects of lifestyle and genetic risk factors. METHODS 180,642 individuals free of CVD or cancer were enrolled from 2006 to 2010 and followed up to 2018 in the UK Biobank. Information on demographics, lifestyles, and medical history was collected through a baseline touchscreen questionnaire. The information on diet was collected through a single touchscreen food-frequency questionnaire. A total of ten single-nucleotide polymorphisms were used to calculate the genetic risk score (GRS) of trimethylamine N-oxide (TMAO), a gut microbiota metabolite from red meat. Adjusted Cox proportional hazard regression models were used to assess the association of red meat consumption with mortality. RESULTS We documented 3596 deaths [655 CVD deaths, 285 coronary heart disease (CHD) deaths, and 149 stroke deaths] during median 8.6 years of follow-up. Compared with the lowest red meat intake (< 1.5 times/week), the highest red meat intake (≥ 3.0 times/week) was associated with a 20%, 53%, and 101% elevated risk for CVD, CHD, and stroke mortality (P for trend = 0.04, 0.007, and 0.02, respectively), but not all-cause mortality. We found that the associations between red meat intake and mortality were not modified by dietary and lifestyle factors, as well as TMAO GRS. In addition, substitution analyses showed that a decrease in red meat consumption and an increase in the consumption of poultry or cereal was significantly associated with 9%-16% lower CVD or CHD mortality risk. CONCLUSION Our results indicated that red meat consumption was associated with higher risks of CVD, CHD, and stroke mortality, and the associations were not modified by lifestyle and genetic risk factors. Replacing red meat by poultry or cereal was related to lower risks of CVD and CHD mortality.
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Affiliation(s)
- Mengying Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Qiying Song
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70112, USA
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Tao Zhou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - JoAnn E Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70112, USA.
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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41
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Zheng C, Pettinger M, Gowda GAN, Lampe JW, Raftery D, Tinker LF, Huang Y, Navarro SL, O'Brien DM, Snetselaar L, Liu S, Wallace RB, Neuhouser ML, Prentice RL. Biomarker-Calibrated Red and Combined Red and Processed Meat Intakes with Chronic Disease Risk in a Cohort of Postmenopausal Women. J Nutr 2022; 152:1711-1720. [PMID: 35289908 PMCID: PMC9258528 DOI: 10.1093/jn/nxac067] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/01/2022] [Accepted: 03/11/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The associations of red and processed meat with chronic disease risk remain to be clarified, in part because of measurement error in self-reported diet. OBJECTIVES We sought to develop metabolomics-based biomarkers for red and processed meat, and to evaluate associations of biomarker-calibrated meat intake with chronic disease risk among postmenopausal women. METHODS Study participants were women who were members of the Women's Health Initiative (WHI) study cohorts. These participants were postmenopausal women aged 50-79 y when enrolled during 1993-1998 at 40 US clinical centers with embedded human feeding and nutrition biomarker studies. Literature reports of metabolomics correlates of meat consumption were used to develop meat intake biomarkers from serum and 24-h urine metabolites in a 153-participant feeding study (2010-2014). Resulting biomarkers were used in a 450-participant biomarker study (2007-2009) to develop linear regression calibration equations that adjust FFQ intakes for random and systematic measurement error. Biomarker-calibrated meat intakes were associated with cardiovascular disease, cancer, and diabetes incidence among 81,954 WHI participants (1993-2020). RESULTS Biomarkers and calibration equations meeting prespecified criteria were developed for consumption of red meat and red plus processed meat combined, but not for processed meat consumption. Following control for nondietary confounding factors, hazard ratios were calculated for a 40% increment above the red meat median intake for coronary artery disease (HR: 1.10; 95% CI: 1.07, 1.14), heart failure (HR: 1.26; 95% CI: 1.20, 1.33), breast cancer (HR: 1.10; 95% CI: 1.07, 1.13) for, total invasive cancer (HR: 1.07; 95% CI: 1.05, 1.09), and diabetes (HR: 1.37; 95% CI: 1.34, 1.39). HRs for red plus processed meat intake were similar. HRs were close to the null, and mostly nonsignificant following additional control for dietary potential confounding factors, including calibrated total energy consumption. CONCLUSIONS A relatively high-meat dietary pattern is associated with somewhat higher chronic disease risks. These elevations appear to be largely attributable to the dietary pattern, rather than to consumption of red or processed meat per se.
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Affiliation(s)
- Cheng Zheng
- Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, USA
| | - Mary Pettinger
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - G A Nagana Gowda
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
| | - Johanna W Lampe
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- School of Public Health, University of Washington, Seattle, WA, USA
| | - Daniel Raftery
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ying Huang
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- School of Public Health, University of Washington, Seattle, WA, USA
| | - Sandi L Navarro
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Diane M O'Brien
- Institute for Arctic Biology, University of Alaska, Fairbanks, AK, USA
| | - Linda Snetselaar
- College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Simin Liu
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI, USA
| | - Robert B Wallace
- College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- School of Public Health, University of Washington, Seattle, WA, USA
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- School of Public Health, University of Washington, Seattle, WA, USA
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Asoudeh F, Talebi S, Jayedi A, Marx W, Najafi MT, Mohammadi H. Associations of Total Protein or Animal Protein Intake and Animal Protein Sources with Risk of Kidney Stones: A Systematic Review and Dose-Response Meta-Analysis. Adv Nutr 2022; 13:821-832. [PMID: 35179185 PMCID: PMC9156392 DOI: 10.1093/advances/nmac013] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 07/25/2021] [Accepted: 02/11/2022] [Indexed: 01/10/2023] Open
Abstract
We conducted the present systematic review and meta-analysis to evaluate the association of total protein, animal protein, and animal protein sources with risk of kidney stones in the general population. A literature search was performed in PubMed/Medline, Scopus, and EMBASE up to July 2021. We assessed the credibility of evidence based on NutriGrade scoring system. A total of 14 prospective cohort studies were included. A positive association was observed between higher intake of nondairy animal protein (RR: 1.11; 95% CI: 1.03, 1.20; I2 = 0%, n = 4), total meat and meat products (RR: 1.22; 95% CI: 1.09, 1.38; I2 = 13%, n = 3), and processed meat (RR: 1.29; 95% CI: 1.10, 1.51; I2 = 0%, n = 2) with risk of kidney stones. There was an inverse association between higher intake of dairy protein and risk of kidney stones (RR: 0.91; 95% CI: 0.84, 0.99; I2 = 0%, n = 4). Moreover, each 100-gincrement of red meat intake was significantly associated with increased risk of kidney stones (RR: 1.39; 95% CI: 1.13, 1.71). According to the NutriGrade scoring system, the credibility of evidence for most of the exposures was rated as low. We found some kind of publication bias in the association of animal protein intake and risk of kidney stones, according to Egger's and Begg's tests. In the sensitivity analysis of processed meat as well as dairy consumption with risk of kidney stones we observed in each individual analysis, 1 study changed the overall estimate. Further observational studies are needed to confirm the present results. The protocol of the present study was registered in the International Prospective Register of Systematic Reviews (PROSPERO) database (CRD42021230125: https://www.crd.york.ac.uk/PROSPERO).
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Affiliation(s)
- Farzaneh Asoudeh
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Sepide Talebi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Jayedi
- Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran
| | - Wolfgang Marx
- Deakin University, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Australia
| | | | - Hamed Mohammadi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
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Abstract
Food allergies are relatively prevalent, but mammalian meat allergy remains uncommon and represents an important, potentially acute healthcare risk. This risk is partly because both clinicians and the public lack awareness of this serious allergy, which is unique in three important ways: it incurs a delayed reaction, it is induced by a carbohydrate rather than a protein, and it is linked to tick bites. Although various symptoms are possible, its unique presentation means that mammalian meat allergy is often presented to the dermatologist. We review this challenging subject, which is particularly salient considering the unique connection between ticks and mammalian meat allergy, the expanding tick territory, and the dependency by so many on meat products, not only in the diet but also in medications and medical devices.
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Affiliation(s)
- Rohan Shah
- Department of Dermatology, Rutgers New Jersey Medical School, Newark, NJ, USA.
| | - Robert A Schwartz
- Department of Dermatology, Rutgers New Jersey Medical School, Newark, NJ, USA
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Liu YS, Zhang YX, Wang XB, Wu QJ, Liu FH, Pan BC, Zhao YH. Associations between Meat and Vegetable Intake, Cooking Methods, and Asthenozoospermia: A Hospital-Based Case–Control Study in China. Nutrients 2022; 14:nu14091956. [PMID: 35565922 PMCID: PMC9104795 DOI: 10.3390/nu14091956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/18/2022] [Accepted: 04/29/2022] [Indexed: 11/16/2022] Open
Abstract
Background: The role of meat and vegetable intake in the development of asthenozoospermia has been controversial, and the role of cooking methods for meat and vegetables in the association has yet to be determined. The present study aimed to illuminate the relationship between the consumption and cooking methods of meat and vegetables and the risk of asthenozoospermia. Methods: In this hospital-based case–control study, we enrolled 552 patients with asthenozoospermia and 585 healthy controls. Dietary information was assessed using a validated self-administered food frequency questionnaire. Asthenozoospermia was diagnosed according to the fifth edition of the WHO laboratory manual for the examination and processing of human semen. Results: Participants in the highest tertile of total meat and unprocessed meat intake had a 44% and 39% lower risk of asthenozoospermia than those in the lowest tertile (OR = 0.56, 95% CI: 0.37, 0.87 and OR = 0.61, 95% CI: 0.40, 0.93), respectively. Participants with the highest processed meat consumption showed higher risk (OR = 1.44, 95% CI: 1.01, 2.06). Raw vegetable consumption was negatively associated with the risk of asthenozoospermia (OR = 0.67, 95% CI: 0.45, 0.98). The stir-frying cooking method for meat was associated with increased risk of asthenozoospermia (OR = 1.58, 95% CI: 1.02, 2.46). Conclusions: Intake of total meat, unprocessed meat, and raw vegetable may reduce asthenozoospermia risk, while higher consumption of processed meat may increase the risk. Cooking methods may play a role in these associations. These findings need to be confirmed in large and prospective cohort studies.
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Affiliation(s)
- Ya-Shu Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China; (Y.-S.L.); (Q.-J.W.); (F.-H.L.)
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Yi-Xiao Zhang
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang 110004, China;
| | - Xiao-Bin Wang
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang 110004, China;
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China; (Y.-S.L.); (Q.-J.W.); (F.-H.L.)
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China; (Y.-S.L.); (Q.-J.W.); (F.-H.L.)
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Bo-Chen Pan
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang 110004, China;
- Correspondence: (B.-C.P.); (Y.-H.Z.); Tel.: +86-24-96615 (B.-C.P. & Y.-H.Z.)
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China; (Y.-S.L.); (Q.-J.W.); (F.-H.L.)
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang 110004, China
- Correspondence: (B.-C.P.); (Y.-H.Z.); Tel.: +86-24-96615 (B.-C.P. & Y.-H.Z.)
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de Medeiros GCBS, Mesquita GXB, Lima SCVC, Silva DFDO, de Azevedo KPM, Pimenta IDSF, de Oliveira AKDSG, Lyra CDO, Martínez DG, Piuvezam G. Associations of the consumption of unprocessed red meat and processed meat with the incidence of cardiovascular disease and mortality, and the dose-response relationship: A systematic review and meta-analysis of cohort studies. Crit Rev Food Sci Nutr 2022; 63:8443-8456. [PMID: 35491892 DOI: 10.1080/10408398.2022.2058461] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVES The aim of this study was to examine the associations of unprocessed red meat and processed meat consumption with cardiovascular disease (CVD) incidence and mortality, and the dose-response relationship. METHODS Published literature was retrieved through a structured search of 10 electronic databases: MEDLINE/PubMed, Scopus, SciELO, LILACS, ScienceDirect, Web of Science, Cochrane (CENTRAL), WHOLIS, PAHO and Embase, without language or year of publication restrictions. In addition, we searched the references of published studies. This systematic review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyzes: The PRISMA Statement. RESULTS Twenty-one prospective cohort studies were included in the systematic review. The CVDs evaluated in the inserted studies were stroke, heart failure (HF) and coronary heart disease (CHD). Considering the heterogeneity found in the studies, for the meta-analysis, 9 articles were included. The results presented in the meta-analysis of the association of consumption of unprocessed red meat and CVD indicated that there was a significant association with total stroke incidence (RR 1.10; 95%; CI 1.01 to 1.19; p = 0.02). There was no association with Ischemic stroke incidence, nor CHD Mortality with consumption of unprocessed red meat. However, for Hemorrhagic Stroke Mortality the assessment in the consumption of unprocessed red meat showed an association of protection for women (RR 0.64; 95%; CI 0.45 to 0.91; p = 0.01). As for the results of the meta-analysis of the association between consumption of processed meat and CVD, they indicated that there was a significant association with total stroke incidence (RR 1.17; 95%; CI 1.08 to 1.26; p < 0.0001). There was no association with Ischemic stroke, nor with CHD Mortality with consumption of processed meat. Some studies that showed no association of risk, presented a significant linear trend dose response for the association of the consumption of unprocessed red meat (Bernstein et al. 2010; Nagao et al. 2012) or processed meat (Bernstein et al. 2012) and CVD. CONCLUSION According to the results found in the meta-analysis, the consumption of unprocessed red meat and processed meat are associated with the incidence of stroke, however, no positive association was observed in relation to mortality from CVD. This systematic review and meta-analysis protocol was registered on the PROSPERO (number: CRD42019100914).
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Affiliation(s)
- Gidyenne Christine Bandeira Silva de Medeiros
- Department of Nutrition, Center for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN , Brasil
- Collective Health Postgraduate Program (PPGSCoL), Center for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN , Brasil
- Systematic Review and Meta-Analysis Laboratory (Lab-SYS), National Council for Scientific and Technological Development (CNPq), Federal University of Rio Grande do Norte, Natal, RN, Brasil
| | | | - Severina Carla Vieira Cunha Lima
- Department of Nutrition, Center for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN , Brasil
- Graduate Program in Nutrition, Department of Nutrition, Federal University of Rio Grande do Norte, Natal, RN, Brasil
| | - David Franciole de Oliveira Silva
- Collective Health Postgraduate Program (PPGSCoL), Center for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN , Brasil
- Graduate Program in Nutrition, Department of Nutrition, Federal University of Rio Grande do Norte, Natal, RN, Brasil
| | - Kesley Pablo Morais de Azevedo
- Collective Health Postgraduate Program (PPGSCoL), Center for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN , Brasil
- Systematic Review and Meta-Analysis Laboratory (Lab-SYS), National Council for Scientific and Technological Development (CNPq), Federal University of Rio Grande do Norte, Natal, RN, Brasil
| | - Isac Davidson Santiago Fernandes Pimenta
- Collective Health Postgraduate Program (PPGSCoL), Center for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN , Brasil
- Systematic Review and Meta-Analysis Laboratory (Lab-SYS), National Council for Scientific and Technological Development (CNPq), Federal University of Rio Grande do Norte, Natal, RN, Brasil
| | - Ana Katherine da Silveira Gonçalves de Oliveira
- Graduate Program in Health Sciences, Center for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN , Brasil
- Systematic Review and Meta-Analysis Laboratory (Lab-SYS), National Council for Scientific and Technological Development (CNPq), Federal University of Rio Grande do Norte, Natal, RN, Brasil
| | - Clélia de Oliveira Lyra
- Department of Nutrition, Center for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN , Brasil
- Collective Health Postgraduate Program (PPGSCoL), Center for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN , Brasil
- Graduate Program in Nutrition, Department of Nutrition, Federal University of Rio Grande do Norte, Natal, RN, Brasil
| | - Daniel Guillén Martínez
- Department of Nursing, San Antonio de Murcia Catholic University, Spain
- Systematic Review and Meta-Analysis Laboratory (Lab-SYS), National Council for Scientific and Technological Development (CNPq), Federal University of Rio Grande do Norte, Natal, RN, Brasil
| | - Grasiela Piuvezam
- Collective Health Postgraduate Program (PPGSCoL), Center for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN , Brasil
- Department of Public Health, Federal University of Rio Grande do Norte, Natal, RN, Brasil
- Systematic Review and Meta-Analysis Laboratory (Lab-SYS), National Council for Scientific and Technological Development (CNPq), Federal University of Rio Grande do Norte, Natal, RN, Brasil
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Grummon AH, Goodman D, Jaacks LM, Taillie LS, Chauvenet CA, Salvia MG, Rimm EB. Awareness of and reactions to health and environmental harms of red meat among parents in the United States. Public Health Nutr 2022; 25:893-903. [PMID: 34321133 PMCID: PMC8799779 DOI: 10.1017/s1368980021003098] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 07/03/2021] [Accepted: 07/26/2021] [Indexed: 11/07/2022]
Abstract
OBJECTIVE Evidence of the health and environmental harms of red meat is growing, yet little is known about which harms may be most impactful to include in meat reduction messages. This study examined which harms consumers are most aware of and which most discourage them from wanting to eat red meat. DESIGN Within-subjects randomised experiment. Participants responded to questions about their awareness of, and perceived discouragement in response to, eight health and eight environmental harms of red meat presented in random order. Discouragement was assessed on a 1-to-5 Likert-type scale. SETTING Online survey. PARTICIPANTS 544 US parents. RESULTS A minority of participants reported awareness that red meat contributes to health harms (ranging from 8 % awareness for prostate cancer to 28 % for heart disease) or environmental harms (ranging from 13 % for water shortages and deforestation to 22 % for climate change). Among specific harms, heart disease elicited the most discouragement (mean = 2·82 out of 5), followed by early death (mean = 2·79) and plants and animals going extinct (mean = 2·75), though most harms elicited similar discouragement (range of means, 2·60-2·82). In multivariable analyses, participants who were younger, identified as Black, identified as politically liberal, had higher general perceptions that red meat is bad for health and had higher usual red meat consumption reported being more discouraged from wanting to eat red meat in response to health and environmental harms (all P < 0·05). CONCLUSIONS Messages about a variety of health and environmental harms of red meat could inform consumers and motivate reductions in red meat consumption.
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Affiliation(s)
- Anna H Grummon
- Harvard Center for Population and Development Studies, Harvard TH Chan School of Public Health, Cambridge, MA, USA
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Dina Goodman
- Department of Global Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Lindsay M Jaacks
- Global Academy of Agriculture and Food Security, The University of Edinburgh, Edinburgh, UK
| | - Lindsey Smith Taillie
- Department of Nutrition, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Meg G Salvia
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Eric B Rimm
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
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Affiliation(s)
- Kehinde Raji
- North Georgia Dermatology-Advanced Dermatology and Cosmetic Surgery LLC, Lawrenceville, Georgia
| | - Mark Baucom
- Baucom and Mina Derm Surgery, LLC, Atlanta, Georgia
- Department of Dermatology, Emory University School of Medicine, Atlanta, Georgia
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48
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Chen X, Hoffmeister M, Brenner H. Red and Processed Meat Intake, Polygenic Risk Score, and Colorectal Cancer Risk. Nutrients 2022; 14:nu14051077. [PMID: 35268052 PMCID: PMC8912739 DOI: 10.3390/nu14051077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 02/28/2022] [Accepted: 03/01/2022] [Indexed: 12/12/2022] Open
Abstract
High red and processed meat intake (RPMI) is an established risk factor for colorectal cancer (CRC). We aimed to assess the impact of RPMI on CRC risk according to and in comparison with genetically determined risk, which was quantified by a polygenic risk score (PRS). RPMI and potential confounders (ascertained by questionnaire) and a PRS (based on 140 CRC-related loci) were obtained from 5109 CRC cases and 4134 controls in a population-based case−control study. Associations of RPMI with CRC risk across PRS levels were assessed using logistic regression models and compared to effect estimates of PRS using “genetic risk equivalent” (GRE), a novel metric for effective risk communication. RPMI multiple times/week, 1 time/day, and >1 time/day was associated with 19% (95% CI 1% to 41%), 41% (18% to 70%), and 73% (30% to 132%) increased CRC risk, respectively, when compared to RPMI ≤ 1 time/week. Associations were independent of PRS levels (pinteraction = 0.97). The effect of RPMI > 1 time/day was equivalent to the effect of having 42 percentiles higher PRS level (GRE 42, 95% CI 20−65). RPMI increases CRC risk regardless of PRS levels. Avoiding RPMI can compensate for a substantial proportion of polygenic risk for CRC.
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Affiliation(s)
- Xuechen Chen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (X.C.); (M.H.)
- Medical Faculty Heidelberg, Heidelberg University, 69117 Heidelberg, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (X.C.); (M.H.)
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (X.C.); (M.H.)
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany
- Correspondence:
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49
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Ba DM, Gao X, Chinchilli VM, Liao D, Richie JP, Al-Shaar L. Red and processed meat consumption and food insecurity are associated with hypertension; analysis of the National Health and Nutrition Examination Survey data, 2003-2016. J Hypertens 2022; 40:553-560. [PMID: 34784309 DOI: 10.1097/hjh.0000000000003048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE This study examined the joint association of red and processed meat intake and food insecurity with hypertension. METHODS Adult participants of the National Health and Nutrition Examination Survey 2003-2016 were included. Total red meat intake was estimated using 24 h dietary recalls. Food insecurity was defined as having three or more affirmative responses using the Food Security Survey Module. Hypertension was defined as having mean SBP of at least 130 mmHg or DBP of at least 85 mmHg or use of antihypertensive drugs. Multivariable surveylogistic regression models were used to examine the independent and joint associations of total red meat and food insecurity with hypertension. RESULTS A total of 31 314 participants [mean (SE) age of 46.8 (0.3) years] were included, of whom 18.3% were food insecure. Total red meat consumption and food insecurity were independently associated with higher odds of hypertension. Compared with the first quintile of total red meat intake, participants in the fourth and fifth quintiles of total red meat intake had 29 and 39% higher odds of hypertension, respectively (P = 0.003). These associations were stronger among food insecure participants (P value for interaction <0.001). Substituting one serving/day of poultry, fish, eggs, dairy products, or plant-based protein sources for total red meat was each associated with 8-15% lower odds of hypertension. CONCLUSION This study provides further evidence regarding the health hazards of total red meat consumption in relation with hypertension and calls for more awareness among food insecure groups.
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Affiliation(s)
- Djibril M Ba
- Department of Public Health Sciences, Penn State College of Medicine, Hershey
| | - Xiang Gao
- Department of Nutritional Sciences, Penn State University, State College, Pennsylvania, USA
| | - Vernon M Chinchilli
- Department of Public Health Sciences, Penn State College of Medicine, Hershey
| | - Duanping Liao
- Department of Public Health Sciences, Penn State College of Medicine, Hershey
| | - John P Richie
- Department of Public Health Sciences, Penn State College of Medicine, Hershey
| | - Laila Al-Shaar
- Department of Public Health Sciences, Penn State College of Medicine, Hershey
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50
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Watling CZ, Schmidt JA, Dunneram Y, Tong TYN, Kelly RK, Knuppel A, Travis RC, Key TJ, Perez-Cornago A. Risk of cancer in regular and low meat-eaters, fish-eaters, and vegetarians: a prospective analysis of UK Biobank participants. BMC Med 2022; 20:73. [PMID: 35197066 PMCID: PMC8867885 DOI: 10.1186/s12916-022-02256-w] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 01/13/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Following a vegetarian diet has become increasingly popular and some evidence suggests that being vegetarian may be associated with a lower risk of cancer overall. However, for specific cancer sites, the evidence is limited. Our aim was to assess the associations of vegetarian and non-vegetarian diets with risks of all cancer, colorectal cancer, postmenopausal breast cancer, and prostate cancer and to explore the role of potential mediators between these associations. METHODS We conducted a prospective analysis of 472,377 UK Biobank participants who were free from cancer at recruitment. Participants were categorised into regular meat-eaters (n = 247,571), low meat-eaters (n = 205,385), fish-eaters (n = 10,696), and vegetarians (n = 8685) based on dietary questions completed at recruitment. Multivariable-adjusted Cox regressions were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for all cancer incidence and separate cancer sites across diet groups. RESULTS After an average follow-up of 11.4 years, 54,961 incident cancers were identified, including 5882 colorectal, 7537 postmenopausal breast, and 9501 prostate cancers. Compared with regular meat-eaters, being a low meat-eater, fish-eater, or vegetarian were all associated with a lower risk of all cancer (HR: 0.98, 95% CI: 0.96-1.00; 0.90, 0.84-0.96; 0.86, 0.80-0.93, respectively). Being a low meat-eater was associated with a lower risk of colorectal cancer in comparison to regular meat-eaters (0.91, 0.86-0.96); however, there was heterogeneity in this association by sex (p = 0.007), with an inverse association across diet groups in men, but not in women. Vegetarian postmenopausal women had a lower risk of breast cancer (0.82, 0.68-0.99), which was attenuated and non-significant after adjusting for body mass index (BMI; 0.87, 0.72-1.05); in mediation analyses, BMI was found to possibly mediate the observed association. In men, being a fish-eater or a vegetarian was associated with a lower risk of prostate cancer (0.80, 0.65-0.99 and 0.69, 0.54-0.89, respectively). CONCLUSION The lower risk of colorectal cancer in low meat-eaters is consistent with previous evidence suggesting an adverse impact of meat intake. The lower risk of postmenopausal breast cancer in vegetarian women may be explained by their lower BMI. It is not clear whether the other differences observed for all cancers and for prostate cancer reflect any causal relationships or are due to other factors such as residual confounding or differences in cancer detection.
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Affiliation(s)
- Cody Z Watling
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Yashvee Dunneram
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Rebecca K Kelly
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
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