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Lalioti A, Verzeletti L, Tiberio P, Gerosa R, Gaudio M, Saltalamacchia G, Pastore M, Zambelli A, Santoro A, De Sanctis R. Common Misconceptions about Diet and Breast Cancer: An Unclear Issue to Dispel. Cancers (Basel) 2024; 16:306. [PMID: 38254795 PMCID: PMC10814151 DOI: 10.3390/cancers16020306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 01/24/2024] Open
Abstract
Breast cancer (BC) constitutes a prevalent health condition among women. Recent years have witnessed the identification of dietary proto-oncogenic factors that deserve attention. Besides the well-known role of alcohol and red and processed meat in BC development, the impact of other dietary components remains unclear. Our narrative review aims to explore the diet-BC relationship, focusing on sugar, dairy, and soy consumption. We conducted a PubMed literature search covering the last decade (2013-2023) and included 35 papers. We found limited evidence on the association between high sugar intake and BC incidence. On the other hand, dairy and soy consumption displayed a protective effect in the majority of the analyzed papers. However, a significant degree of heterogeneity was reported among the results. Menopausal status and the specific BC molecular subtypes were the main factors influencing the interpretation of the results. Exploring dietary factors and BC revealed inconsistencies: high glycemic index post-menopause may be a risk factor, while sugar-sweetened drinks and artificial sweeteners yielded conflicting results; fermented dairy showed potential benefits, non-fermented dairy presented inconsistent findings; soy impact on BC varied according to molecular subtype, with some studies suggesting a positive association in luminal-like BC. Hence, further investigation is crucial to obtain a uniform consensus on the diet-BC relationship.
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Affiliation(s)
- Anastasia Lalioti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Italy; (A.L.); (L.V.); (R.G.); (M.G.); (A.Z.); (A.S.); (R.D.S.)
| | - Laura Verzeletti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Italy; (A.L.); (L.V.); (R.G.); (M.G.); (A.Z.); (A.S.); (R.D.S.)
| | - Paola Tiberio
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (G.S.); (M.P.)
| | - Riccardo Gerosa
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Italy; (A.L.); (L.V.); (R.G.); (M.G.); (A.Z.); (A.S.); (R.D.S.)
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (G.S.); (M.P.)
| | - Mariangela Gaudio
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Italy; (A.L.); (L.V.); (R.G.); (M.G.); (A.Z.); (A.S.); (R.D.S.)
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (G.S.); (M.P.)
| | - Giuseppe Saltalamacchia
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (G.S.); (M.P.)
| | - Manuela Pastore
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (G.S.); (M.P.)
| | - Alberto Zambelli
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Italy; (A.L.); (L.V.); (R.G.); (M.G.); (A.Z.); (A.S.); (R.D.S.)
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (G.S.); (M.P.)
| | - Armando Santoro
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Italy; (A.L.); (L.V.); (R.G.); (M.G.); (A.Z.); (A.S.); (R.D.S.)
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (G.S.); (M.P.)
| | - Rita De Sanctis
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Italy; (A.L.); (L.V.); (R.G.); (M.G.); (A.Z.); (A.S.); (R.D.S.)
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (G.S.); (M.P.)
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Rubio IT, Wyld L, Marotti L, Athanasiou A, Regitnig P, Catanuto G, Schoones JW, Zambon M, Camps J, Santini D, Dietz J, Sardanelli F, Varga Z, Smidt M, Sharma N, Shaaban AM, Gilbert F. European guidelines for the diagnosis, treatment and follow-up of breast lesions with uncertain malignant potential (B3 lesions) developed jointly by EUSOMA, EUSOBI, ESP (BWG) and ESSO. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2024; 50:107292. [PMID: 38061151 DOI: 10.1016/j.ejso.2023.107292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 11/17/2023] [Indexed: 01/16/2024]
Abstract
INTRODUCTION Breast lesions of uncertain malignant potential (B3) include atypical ductal and lobular hyperplasias, lobular carcinoma in situ, flat epithelial atypia, papillary lesions, radial scars and fibroepithelial lesions as well as other rare miscellaneous lesions. They are challenging to categorise histologically, requiring specialist training and multidisciplinary input. They may coexist with in situ or invasive breast cancer (BC) and increase the risk of subsequent BC development. Management should focus on adequate classification and management whilst avoiding overtreatment. The aim of these guidelines is to provide updated information regarding the diagnosis and management of B3 lesions, according to updated literature review evidence. METHODS These guidelines provide practical recommendations which can be applied in clinical practice which include recommendation grade and level of evidence. All sections were written according to an updated literature review and discussed at a consensus meeting. Critical appraisal by the expert writing committee adhered to the 23 items in the international Appraisal of Guidelines, Research and Evaluation (AGREE) tool. RESULTS Recommendations for further management after core-needle biopsy (CNB) or vacuum-assisted biopsy (VAB) diagnosis of a B3 lesion reported in this guideline, vary depending on the presence of atypia, size of lesion, sampling size, and patient preferences. After CNB or VAB, the option of vacuum-assisted excision or surgical excision should be evaluated by a multidisciplinary team and shared decision-making with the patient is crucial for personalizing further treatment. De-escalation of surgical intervention for B3 breast lesions is ongoing, and the inclusion of vacuum-assisted excision (VAE) will decrease the need for surgical intervention in further approaches. Communication with patients may be different according to histological diagnosis, presence or absence of atypia, or risk of upgrade due to discordant imaging. Written information resources to help patients understand these issues alongside with verbal communication is recommended. Lifestyle interventions have a significant impact on BC incidence so lifestyle interventions need to be suggested to women at increased BC risk as a result of a diagnosis of a B3 lesion. CONCLUSIONS These guidelines provide a state-of-the-art overview of the diagnosis, management and prognosis of B3 lesions in modern multidisciplinary breast practice.
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Affiliation(s)
- Isabel T Rubio
- Breast Surgical Oncology, Clinica Universidad de Navarra, Madrid, Spain; European Society of Breast Cancer Specialists (EUSOMA), Florence, Italy; European Society of Surgical Oncology (ESSO), Brussels, Belgium.
| | - Lynda Wyld
- Department of Oncology and Metabolism, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK; Doncaster and Bassetlaw Teaching Hospitals NHS Foundation Trust, Doncaster, UK
| | - Lorenza Marotti
- European Society of Breast Cancer Specialists (EUSOMA), Florence, Italy
| | | | - Peter Regitnig
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria
| | - Giuseppe Catanuto
- Humanitas-Istituto Clinico Catanese Misterbianco, Italy; Fondazione G.Re.T.A., ETS, Napoli, Italy
| | - Jan W Schoones
- Research Policy & Graduate School Advisor, Leiden University Medical Center Leiden, the Netherlands
| | - Marzia Zambon
- Europa Donna - The European Breast Cancer Coalition, Milan, Italy
| | - Julia Camps
- Breast Health Units in Ribera Salud Hospitals.Valencia, Spain
| | - Donatella Santini
- Department of Pathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Italy
| | - Jill Dietz
- The American Society of Breast Surgeons, Columbia, MD, USA
| | - Francesco Sardanelli
- Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Milan, Italy; Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Zsuzsanna Varga
- Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Marjolein Smidt
- GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, the Netherlands; Department of Surgery, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Nisha Sharma
- Breast Unit, Level 1 Chancellor Wing, St James Hospital, Beckett Street Leeds, West Yorkshire, LS9 7TF, UK
| | - Abeer M Shaaban
- Cellular Pathology, Queen Elizabeth Hospital Birmingham, Birmingham, UK; Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Fiona Gilbert
- Department of Radiology, University of Cambridge, Cambridge Biomedical Campus, UK.
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Yu C, Xu J, Xu S, Peng H, Tang L, Sun Z, Chen W. Causal relationship between dietary factors and breast cancer risk: A Mendelian randomization study. Heliyon 2023; 9:e20980. [PMID: 37867896 PMCID: PMC10587533 DOI: 10.1016/j.heliyon.2023.e20980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 10/10/2023] [Accepted: 10/12/2023] [Indexed: 10/24/2023] Open
Abstract
Background Previous studies have discovered an association between dietary factors and breast cancer. However, few studies have used Mendelian randomization (MR) to assess the potential causal relationship between dietary factors and breast cancer. Methods The exposure datasets for fresh fruit intake, dried fruit intake, salad/raw vegetable intake, cooked vegetable intake, oily fish intake, non-oily fish intake, cheese intake, and bread intake were obtained from the UK Biobank. The outcome dataset was extracted from the Breast Cancer Association Consortium (BCAC). We used the inverse variance weighted (IVW) method as the primary approach for the two-sample MR analysis. To ensure the accuracy of the results, we conducted heterogeneity and horizontal pleiotropy analyses. Additionally, multivariable MR analysis was conducted to ensure the stability of the results. Results Dried fruit intake was found to be a protective factor for overall breast cancer (outliers excluded: OR: 0.549; 95 % CI: 0.429-0.702; p = 1.75 × 10-6). Subtype analyses showed that dried fruit intake was inversely associated with both estrogen receptor-positive (ER+) breast cancer (outliers excluded: OR: 0.669; 95 % CI: 0.512-0.875; p = 0.003) and ER-negative (ER-) breast cancer (OR: 0.559; 95 % CI: 0.379-0.827; p = 0.004), while fresh fruit intake was inversely associated with ER- breast cancer (excluded outliers: OR: 0.510; 95 % CI: 0.308-0.846; p = 0.009). No significant causal relationship was found between other dietary intakes and breast cancer. After adjusting for the effects of possible confounders, the causal relationships found by the two-sample MR analysis remained. Conclusion Our study provides evidence that dried fruit intake may reduce the risk of both ER+ and ER- breast cancer, and fresh fruit intake may reduce the risk of ER- breast cancer. Other factors included in this study were not linked to breast cancer.
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Affiliation(s)
- Chengdong Yu
- Department of breast surgery, Affiliated Cancer Hospital of Nanchang University, Jiangxi cancer hospital, The Second Affiliated Hospital of Nanchang Medical College, 330029, China
| | - Jiawei Xu
- Department of breast surgery, Affiliated Cancer Hospital of Nanchang University, Jiangxi cancer hospital, The Second Affiliated Hospital of Nanchang Medical College, 330029, China
| | - Siyi Xu
- Department of breast surgery, Affiliated Cancer Hospital of Nanchang University, Jiangxi cancer hospital, The Second Affiliated Hospital of Nanchang Medical College, 330029, China
| | - Huoping Peng
- Department of breast surgery, Affiliated Cancer Hospital of Nanchang University, Jiangxi cancer hospital, The Second Affiliated Hospital of Nanchang Medical College, 330029, China
| | - Lei Tang
- Department of breast surgery, Affiliated Cancer Hospital of Nanchang University, Jiangxi cancer hospital, The Second Affiliated Hospital of Nanchang Medical College, 330029, China
| | - Zhengkui Sun
- Department of breast surgery, Affiliated Cancer Hospital of Nanchang University, Jiangxi cancer hospital, The Second Affiliated Hospital of Nanchang Medical College, 330029, China
| | - Wen Chen
- Department of breast surgery, Affiliated Cancer Hospital of Nanchang University, Jiangxi cancer hospital, The Second Affiliated Hospital of Nanchang Medical College, 330029, China
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Watling CZ, Kelly RK, Dunneram Y, Knuppel A, Piernas C, Schmidt JA, Travis RC, Key TJ, Perez-Cornago A. Associations of intakes of total protein, protein from dairy sources, and dietary calcium with risks of colorectal, breast, and prostate cancer: a prospective analysis in UK Biobank. Br J Cancer 2023; 129:636-647. [PMID: 37407836 PMCID: PMC10421858 DOI: 10.1038/s41416-023-02339-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 06/06/2023] [Accepted: 06/19/2023] [Indexed: 07/07/2023] Open
Abstract
BACKGROUND Evidence concerning intakes of protein or sources of dairy protein and risks of colorectal, breast, and prostate cancers is inconclusive. METHODS Using a subsample of UK Biobank participants who completed ≥2 (maximum of 5) 24-h dietary assessments, we estimated intakes of total protein, protein from total dairy products, milk, and cheese, and dietary calcium in 114,217 participants. Hazard ratios (HRs) and 95% confidence intervals (CI) were estimated using multivariable-adjusted Cox regression. RESULTS After a median of 9.4 years of follow-up, 1193 colorectal, 2024 female breast, and 2422 prostate cancer cases were identified. There were inverse associations of total dairy protein, protein from milk, and dietary calcium intakes with colorectal cancer incidence (HRQ4 vs Q1:0.80, 95% CI: 0.67-0.94; 0.79, 0.67-0.94; 0.71, 0.58-0.86, respectively). We also observed positive associations of milk protein and dietary calcium with prostate cancer risk (HRQ4 vs Q1:1.12, 1.00-1.26 and 1.16, 1.01-1.33, respectively). No significant associations were observed between intake of dairy protein and breast cancer risk. When insulin-like growth factor-I concentrations measured at recruitment were added to the multivariable-adjusted models, associations remained largely unchanged. Analyses were also similar when looking at total grams of dairy products, milk, and cheese. CONCLUSION Further research is needed to understand the mechanisms underlying the relationships of dairy products with cancer risk and the potential roles of dietary protein and calcium.
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Affiliation(s)
- Cody Z Watling
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
| | - Rebecca K Kelly
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Yashvee Dunneram
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Anika Knuppel
- MRC Unit of Lifelong Health and Ageing, University College London, London, United Kingdom
| | - Carmen Piernas
- Nuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom
| | - Julie A Schmidt
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
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Zhang M, Dong X, Huang Z, Li X, Zhao Y, Wang Y, Zhu H, Fang A, Giovannucci EL. Cheese consumption and multiple health outcomes: an umbrella review and updated meta-analysis of prospective studies. Adv Nutr 2023; 14:1170-1186. [PMID: 37328108 PMCID: PMC10509445 DOI: 10.1016/j.advnut.2023.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 05/15/2023] [Accepted: 06/13/2023] [Indexed: 06/18/2023] Open
Abstract
This umbrella review aims to provide a systematic and comprehensive overview of current evidence from prospective studies on the diverse health effects of cheese consumption. We searched PubMed, Embase, and Cochrane Library to identify meta-analyses/pooled analyses of prospective studies examining the association between cheese consumption and major health outcomes from inception to August 31, 2022. We reanalyzed and updated previous meta-analyses and performed de novo meta-analyses with recently published prospective studies, where appropriate. We calculated the summary effect size, 95% prediction confidence intervals, between-study heterogeneity, small-study effects, and excess significance bias for each health outcome. We identified 54 eligible articles of meta-analyses/pooled analyses. After adding newly published original articles, we performed 35 updated meta-analyses and 4 de novo meta-analyses. Together with 8 previous meta-analyses, we finally included 47 unique health outcomes. Cheese consumption was inversely associated with all-cause mortality (highest compared with lowest category: RR = 0.95; 95% CI: 0.92, 0.99), cardiovascular mortality (RR = 0.93; 95% CI: 0.88, 0.99), incident cardiovascular disease (CVD) (RR = 0.92; 95% CI: 0.89, 0.96), coronary heart disease (CHD) (RR = 0.92; 95% CI: 0.86, 0.98), stroke (RR = 0.93; 95% CI: 0.89, 0.98), estrogen receptor-negative (ER-) breast cancer (RR = 0.89; 95% CI: 0.82, 0.97), type 2 diabetes (RR = 0.93; 95% CI: 0.88, 0.98), total fracture (RR = 0.90; 95% CI: 0.86, 0.95), and dementia (RR = 0.81; 95% CI: 0.66, 0.99). Null associations were found for other outcomes. According to the NutriGrade scoring system, moderate quality of evidence was observed for inverse associations of cheese consumption with all-cause and cardiovascular mortality, incident CVD, CHD, and stroke, and for null associations with cancer mortality, incident hypertension, and prostate cancer. Our findings suggest that cheese consumption has neutral to moderate benefits for human health.
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Affiliation(s)
- Mingjie Zhang
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiaocong Dong
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zihui Huang
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xue Li
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yue Zhao
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yingyao Wang
- Chinese Nutrition Society Academy of Nutrition and Health, Beijing, China.
| | - Huilian Zhu
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Aiping Fang
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, China; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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The relationship between diet quality indices and odds of breast cancer in women: a case-control study. BMC Womens Health 2023; 23:90. [PMID: 36879242 PMCID: PMC9990286 DOI: 10.1186/s12905-023-02242-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 02/27/2023] [Indexed: 03/08/2023] Open
Abstract
Dietary quality is an important factor in the etiology of breast cancer (BrCa), but further studies are required to better elucidate this relationship. Accordingly, we sought to analyze if diet quality, assessed using the Diet Quality Index-International (DQI-I), Mean Adequacy Ratio (MAR), and Dietary Energy Density (DED), was related to BrCa. In this Hospital-based case-control study, 253 patients with BrCa and 267 non BrCa controls were enrolled. Individual food consumption data from a food frequency questionnaire was used to calculate the Diet Quality Indices (DQI). Employing a case-control design, odds ratios (ORs) and 95% confidence intervals (CIs) were obtained, and a dose-response analysis investigated. After adjusting for potential confounders, those in the highest quartile of the MAR index had significantly lower odds of BrCa than those in the lowest (OR = 0.42, 95% CI 0.23-0.78; P for trend = 0.007). Although there was no association between individual quartiles of the DQI-I and BrCa, there was evidence of a significant trend across all the quartile categories (P for trend = 0.030).There was no significant association was found between DED index and the odds of BrCa in the crude and fully adjusted models. We found that higher MAR indices were associated with decreased odds of BrCa, Therefore, the dietary patterns reflected by these scores may serve as a possible guide to preventing BrCa in Iranian women.
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Mahmood R, Voisin A, Olof H, Khorasaniha R, Lawal SA, Armstrong HK. Host Microbiomes Influence the Effects of Diet on Inflammation and Cancer. Cancers (Basel) 2023; 15:521. [PMID: 36672469 PMCID: PMC9857231 DOI: 10.3390/cancers15020521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 01/19/2023] Open
Abstract
Cancer is the second leading cause of death globally, and there is a growing appreciation for the complex involvement of diet, microbiomes, and inflammatory processes culminating in tumorigenesis. Although research has significantly improved our understanding of the various factors involved in different cancers, the underlying mechanisms through which these factors influence tumor cells and their microenvironment remain to be completely understood. In particular, interactions between the different microbiomes, specific dietary factors, and host cells mediate both local and systemic immune responses, thereby influencing inflammation and tumorigenesis. Developing an improved understanding of how different microbiomes, beyond just the colonic microbiome, can interact with dietary factors to influence inflammatory processes and tumorigenesis will support our ability to better understand the potential for microbe-altering and dietary interventions for these patients in future.
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Affiliation(s)
- Ramsha Mahmood
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
| | - Athalia Voisin
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
| | - Hana Olof
- Department of Immunology, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
| | - Reihane Khorasaniha
- Department of Food and Human Nutritional Sciences, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
| | - Samuel A. Lawal
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
| | - Heather K. Armstrong
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
- Department of Immunology, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
- Department of Food and Human Nutritional Sciences, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
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Song H, Jeong A, Tran TXM, Lee J, Kim M, Park B. Association between Micronutrient Intake and Breast Cancer Risk According to Body Mass Index in South Korean Adult Women: A Cohort Study. Nutrients 2022; 14:nu14132644. [PMID: 35807825 PMCID: PMC9268499 DOI: 10.3390/nu14132644] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 06/20/2022] [Accepted: 06/24/2022] [Indexed: 02/07/2023] Open
Abstract
This study investigated the association between micronutrient intake and breast cancer risk in South Korean adult women. This association was stratified according to body mass index (BMI) categories. Data from the Korean Genome and Epidemiology Study (KoGES) and the Health Examinee Study were analyzed. Altogether, 63,337 individuals (aged ≥40 years) completed the baseline and first follow-up surveys; 40,432 women without a history of cancer at baseline were included in this study. The association between micronutrient intake and breast cancer was determined by estimating the hazard ratio (HR) and 95% confidence interval (CI) using the Cox proportional hazard regression model. A stratified analysis by BMI (<25 kg/m2 and ≥25 kg/m2) was performed. The an analysis of 15 micronutrients and breast cancer risk revealed that none of the micronutrients were associated with breast cancer risk after adjusting for covariates. In obese women, the risk of breast cancer was significantly reduced in the group that consumed vitamin C more than the recommended level (HR = 0.54, 95% CI: 0.31−0.93) and vitamin B6 levels above the recommended level (HR = 0.48, 95% CI: 0.25−0.89). In obese women, exceeding the recommended daily intake levels of vitamin C and vitamin B6 was associated with a lower risk of breast cancer. However, other micronutrients were not associated with breast cancer risk in these women.
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Affiliation(s)
- Huiyeon Song
- Graduate School of Public Health, Hanyang University, Seoul 04763, Korea; (H.S.); (A.J.)
| | - Ansun Jeong
- Graduate School of Public Health, Hanyang University, Seoul 04763, Korea; (H.S.); (A.J.)
| | - Thi Xuan Mai Tran
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul 04763, Korea; (T.X.M.T.); (J.L.); (M.K.)
| | - Jiseon Lee
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul 04763, Korea; (T.X.M.T.); (J.L.); (M.K.)
| | - Mikyung Kim
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul 04763, Korea; (T.X.M.T.); (J.L.); (M.K.)
| | - Boyoung Park
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul 04763, Korea; (T.X.M.T.); (J.L.); (M.K.)
- Department of Medicine, Hanyang University College of Medicine, 222 Wangsimni-ro, Seoul 04763, Korea
- Correspondence: ; Tel.: +82-2-2220-0682; Fax: +82-31-2220-0699
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Kakkoura MG, Du H, Guo Y, Yu C, Yang L, Pei P, Chen Y, Sansome S, Chan WC, Yang X, Fan L, Lv J, Chen J, Li L, Key TJ, Chen Z. Dairy consumption and risks of total and site-specific cancers in Chinese adults: an 11-year prospective study of 0.5 million people. BMC Med 2022; 20:134. [PMID: 35513801 PMCID: PMC9074208 DOI: 10.1186/s12916-022-02330-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 03/10/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Previous studies of primarily Western populations have reported contrasting associations of dairy consumption with certain cancers, including a positive association with prostate cancer and inverse associations with colorectal and premenopausal breast cancers. However, there are limited data from China where cancer rates and levels of dairy consumption differ importantly from those in Western populations. METHODS The prospective China Kadoorie Biobank study recruited ~0.5 million adults from ten diverse (five urban, five rural) areas across China during 2004-2008. Consumption frequency of major food groups, including dairy products, was collected at baseline and subsequent resurveys, using a validated interviewer-administered laptop-based food frequency questionnaire. To quantify the linear association of dairy intake and cancer risk and to account for regression dilution bias, the mean usual consumption amount for each baseline group was estimated via combining the consumption level at both baseline and the second resurvey. During a mean follow-up of 10.8 (SD 2.0) years, 29,277 incident cancer cases were recorded among the 510,146 participants who were free of cancer at baseline. Cox regression analyses for incident cancers associated with usual dairy intake were stratified by age-at-risk, sex and region and adjusted for cancer family history, education, income, alcohol intake, smoking, physical activity, soy and fresh fruit intake, and body mass index. RESULTS Overall, 20.4% of participants reported consuming dairy products (mainly milk) regularly (i.e. ≥1 day/week), with the estimated mean consumption of 80.8 g/day among regular consumers and of 37.9 g/day among all participants. There were significant positive associations of dairy consumption with risks of total and certain site-specific cancers, with adjusted HRs per 50 g/day usual consumption being 1.07 (95% CI 1.04-1.10), 1.12 (1.02-1.22), 1.19 (1.01-1.41) and 1.17 (1.07-1.29) for total cancer, liver cancer (n = 3191), female breast cancer (n = 2582) and lymphoma (n=915), respectively. However, the association with lymphoma was not statistically significant after correcting for multiple testing. No significant associations were observed for colorectal cancer (n = 3350, 1.08 [1.00-1.17]) or other site-specific cancers. CONCLUSION Among Chinese adults who had relatively lower dairy consumption than Western populations, higher dairy intake was associated with higher risks of liver cancer, female breast cancer and, possibly, lymphoma.
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Affiliation(s)
- Maria G Kakkoura
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Yu Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Pei Pei
- Chinese Academy of Medical Sciences, Beijing, China
| | - Yiping Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sam Sansome
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Wing Ching Chan
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Xiaoming Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Lei Fan
- NCDs Prevention and Control Department, Henan CDC, Zhengzhou, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Timothy J Key
- Cancer Epidemiology Unit (CEU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
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10
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Substitution of dietary macronutrients and their sources in association with breast cancer: results from a large-scale case–control study. Eur J Nutr 2022; 61:2687-2695. [DOI: 10.1007/s00394-022-02811-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 01/19/2022] [Indexed: 11/04/2022]
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11
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Yang J, Du H, Guo Y, Bian Z, Yu C, Chen Y, Yang L, Liu J, Han X, Chen J, Lv J, Li L, Chen Z. Coarse Grain Consumption and Risk of Cardiometabolic Diseases: A Prospective Cohort Study of Chinese Adults. J Nutr 2022; 152:1476-1486. [PMID: 35234872 PMCID: PMC9178969 DOI: 10.1093/jn/nxac041] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 12/24/2021] [Accepted: 02/17/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Lower consumption of whole grains is associated with higher risks of diabetes and coronary heart disease in Western populations, but evidence is still limited for stroke. Moreover, little is known in China, where the rates of cardiometabolic diseases are high and the grain types consumed are different from those in Western countries. OBJECTIVES To examine the associations between coarse-grain (e.g., millet, corn, and sorghum) consumption and incident cardiometabolic diseases among Chinese adults. METHODS The prospective China Kadoorie Biobank enrolled >0.5 million adults aged 30-79 years from 10 urban and rural areas during 2004-2008. At baseline, consumption frequencies (in 5 categories from "never" to "daily") of 12 major food groups, including coarse grains, were collected using a validated FFQ. After a median of 11 years of follow-up, 17,149 cases of diabetes, 29,876 ischemic strokes, 6097 hemorrhagic strokes, and 6704 major coronary events were recorded among 461,047 participants without a prevalence of major chronic diseases at baseline. Cox regression analyses were used to yield adjusted HRs for each disease associated with coarse-grain consumption. RESULTS Overall, 13.8% of participants reported regularly consuming (i.e., ≥4 days/week, regular consumers) and 29.4% reported never or rarely consuming coarse grains (i.e., nonconsumers) at baseline. Compared with nonconsumers, regular consumers had lower risks of diabetes (adjusted HR, 0.88; 95% CI, 0.78-0.98) and ischemic stroke (adjusted HR, 0.86; 95% CI, 0.81-0.93), but not hemorrhagic stroke (adjusted HR, 0.96; 95% CI, 0.76-1.20) or major coronary events (adjusted HR, 0.95; 95% CI, 0.81-1.12). For diabetes and ischemic stroke, each 100 g/day increase in the usual intake of coarse grains was associated with 14% (adjusted HR, 0.86; 95% CI, 0.76-0.97) and 13% (adjusted HR, 0.87; 95% CI, 0.81-0.94) lower risks, respectively, with similar results in various subgroups. CONCLUSIONS In Chinese adults, higher coarse-grain consumption is associated with lower risks of diabetes and ischemic stroke, supporting the promotion of coarse-grain consumption in China.
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Affiliation(s)
- Jiaomei Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | | | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yiping Chen
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom,Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ling Yang
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom,Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Jiben Liu
- Yongqinglu Community Health Service, Qingdao, Shandong Province, China
| | - Xianyong Han
- Yongqinglu Community Health Service, Qingdao, Shandong Province, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Zhengming Chen
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom,Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
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12
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Li N, Guo X, Sun C, Lowe S, Su W, Song Q, Wang H, Liang Q, Liang M, Ding X, Qu G, Ma S, Liu H, Sun Y. Dietary carbohydrate intake is associated with a lower risk of breast cancer: a meta-analysis of cohort studies. Nutr Res 2022; 100:70-92. [DOI: 10.1016/j.nutres.2022.01.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 01/25/2022] [Accepted: 01/27/2022] [Indexed: 10/19/2022]
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13
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Xu K, Sun Q, Shi Z, Zou Y, Jiang X, Wang Y, Chong F, Song C. A Dose-Response Meta-Analysis of Dietary Fiber Intake and Breast Cancer Risk. Asia Pac J Public Health 2022; 34:331-337. [DOI: 10.1177/10105395211072997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Whether dietary fiber intake could reduce the risk of breast cancer (BC) is still controversial. The articles related to breast cancer and dietary fiber were retrieved through PubMed and Web of Science database. Summary relative risk (RR) and attributable risk percentage (ARP) for dietary fiber intake on the development of breast cancer were calculated. Dose-response meta-analysis modeled the relationship between dietary fiber intake and breast cancer risk. A total of 10 studies were included in this study. Meta-analysis showed that dietary fiber intake was negatively associated with breast cancer (RR = 0.83, 95% confidence interval [CI] [0.74, 0.93]). In dose-response analysis, the risk of breast cancer showed a statistically significant linear trend with increasing dietary fiber dose: when adding 10 g per day, the risk decreased by 4.7% (RR = 0.95, 95% CI [0.93, 0.98]). The ARP results demonstrated that the breast cancer dietary fiber–attributed percentage was 33.33% in Asia, which was higher than 16.28% in North America and 9.89% in Europe. In conclusion, dietary fiber intake may have a positive effect on reducing breast cancer risk, especially in high doses.
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Affiliation(s)
- Kedi Xu
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, China
| | - Qiuyu Sun
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, China
| | - Ziang Shi
- Department of Clinical Medicine, Zhengzhou University, Zhengzhou, China
| | - Yuanlin Zou
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, China
| | - Xiaoru Jiang
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, China
| | - Yanli Wang
- Zhengzhou people’s Hospital, Zhengzhou, China
| | - Feifei Chong
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (The Third Military Medical University), Chongqing, China
| | - Chunhua Song
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, China
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14
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Fruit and vegetable consumption and incident breast cancer: a systematic review and meta-analysis of prospective studies. Br J Cancer 2021; 125:284-298. [PMID: 34006925 PMCID: PMC8292326 DOI: 10.1038/s41416-021-01373-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 02/22/2021] [Accepted: 03/16/2021] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND We conducted a systematic review and meta-analysis of prospective studies to clarify the relation of fruit and vegetable consumption with incident breast cancer. METHODS We searched systematically PubMed and EMBASE databases up to November 2020 to include prospective studies that reported the association of fruit and vegetable consumption with incident breast cancer. The pooled relative risks (RRs) and 95% confidence intervals (CIs) were calculated for the highest versus the lowest category of total fruit and vegetable, total fruit and total vegetable consumption, as well as fruit juice and subgroups of vegetables in relation to breast cancer incidence, using a random-effect model. RESULTS Total fruit and vegetable consumption was associated with lower overall (RR = 0.91, 95% CI = 0.87-0.95) and postmenopausal breast cancer risk (RR = 0.88, 95% CI = 0.79-0.99). Total fruit consumption was associated with lower overall (RR = 0.93, 95% CI = 0.88-0.99) and postmenopausal breast cancer risk (RR = 0.93, 95% CI = 0.87-0.99). Total fruit and vegetable intake were associated with 11% and 26% lower risk of oestrogen- and progesterone-receptor-positive (ER+/PR+) and -negative (ER-/PR-) breast cancer, respectively. Total vegetable consumption was associated with 27% lower risk of ER-/PR- breast cancer. Fruit juice consumption was associated with increased overall breast cancer risk (RR = 1.04, 95% CI = 1.01-1.07). We did not find significant associations for subgroups of vegetable intake and breast cancer risk. CONCLUSIONS These findings suggest that high total fruit and vegetable consumption are associated with reduced risk of overall, postmenopausal, ER+/PR+ and ER-/PR- breast cancer.
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15
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Papier K, Fensom GK, Knuppel A, Appleby PN, Tong TYN, Schmidt JA, Travis RC, Key TJ, Perez-Cornago A. Meat consumption and risk of 25 common conditions: outcome-wide analyses in 475,000 men and women in the UK Biobank study. BMC Med 2021; 19:53. [PMID: 33648505 PMCID: PMC7923515 DOI: 10.1186/s12916-021-01922-9] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 01/20/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND There is limited prospective evidence on the association between meat consumption and many common, non-cancerous health outcomes. We examined associations of meat intake with risk of 25 common conditions (other than cancer). METHODS We used data from 474,985 middle-aged adults recruited into the UK Biobank study between 2006 and 2010 and followed up until 2017 (mean follow-up 8.0 years) with available information on meat intake at baseline (collected via touchscreen questionnaire), and linked hospital admissions and mortality data. For a large sub-sample (~ 69,000), dietary intakes were re-measured three or more times using an online, 24-h recall questionnaire. RESULTS On average, participants who reported consuming meat regularly (three or more times per week) had more adverse health behaviours and characteristics than participants who consumed meat less regularly, and most of the positive associations observed for meat consumption and health risks were substantially attenuated after adjustment for body mass index (BMI). In multi-variable adjusted (including BMI) Cox regression models corrected for multiple testing, higher consumption of unprocessed red and processed meat combined was associated with higher risks of ischaemic heart disease (hazard ratio (HRs) per 70 g/day higher intake 1.15, 95% confidence intervals (CIs) 1.07-1.23), pneumonia (1.31, 1.18-1.44), diverticular disease (1.19, 1.11-1.28), colon polyps (1.10, 1.06-1.15), and diabetes (1.30, 1.20-1.42); results were similar for unprocessed red meat and processed meat intakes separately. Higher consumption of unprocessed red meat alone was associated with a lower risk of iron deficiency anaemia (IDA: HR per 50 g/day higher intake 0.80, 95% CIs 0.72-0.90). Higher poultry meat intake was associated with higher risks of gastro-oesophageal reflux disease (HR per 30 g/day higher intake 1.17, 95% CIs 1.09-1.26), gastritis and duodenitis (1.12, 1.05-1.18), diverticular disease (1.10, 1.04-1.17), gallbladder disease (1.11, 1.04-1.19), and diabetes (1.14, 1.07-1.21), and a lower IDA risk (0.83, 0.76-0.90). CONCLUSIONS Higher unprocessed red meat, processed meat, and poultry meat consumption was associated with higher risks of several common conditions; higher BMI accounted for a substantial proportion of these increased risks suggesting that residual confounding or mediation by adiposity might account for some of these remaining associations. Higher unprocessed red meat and poultry meat consumption was associated with lower IDA risk.
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Affiliation(s)
- Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK.
| | - Georgina K Fensom
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
- Department of International Development, University of Oxford, 3 Mansfield Rd, Oxford, OX1 3TB, UK
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Paul N Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
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16
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Wong ATY, Heath AK, Tong TYN, Reeves GK, Floud S, Beral V, Travis RC. Sleep duration and breast cancer incidence: results from the Million Women Study and meta-analysis of published prospective studies. Sleep 2021; 44:zsaa166. [PMID: 32886784 PMCID: PMC7879408 DOI: 10.1093/sleep/zsaa166] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 08/10/2020] [Indexed: 01/05/2023] Open
Abstract
STUDY OBJECTIVES To investigate the association between sleep duration and breast cancer incidence, we examined the association in a large UK prospective study and conducted a meta-analysis of prospective studies. METHODS In the Million Women Study, usual sleep duration over a 24-h period was collected in 2001 for 713,150 participants without prior cancer, heart problems, stroke, or diabetes (mean age = 60 years). Follow-up for breast cancer was by record linkage to national cancer registry data for 14.3 years on average from the 3-year resurvey. Cox regression models yielded multivariable-adjusted breast cancer relative risks (RR) and 95% confidence intervals (CIs) for sleep duration categories. Published prospective studies of sleep duration and breast cancer risk were included in a meta-analysis, which estimated the inverse-variance weighted average of study-specific log RRs for short and for long versus average duration sleep. RESULTS After excluding the first 5 years to minimize reverse causation bias in the Million Women Study, 24,476 women developed breast cancer. Compared with 7-8 h of sleep, the RRs for <6, 6, 9, and >9 h of sleep were 1.01 (95% CI, 0.95-1.07), 0.99 (0.96-1.03), 1.01 (0.96-1.06), and 1.03 (0.95-1.12), respectively. In a meta-analysis of 14 prospective studies plus the Million Women Study, including 65,410 breast cancer cases, neither short (RR < 7 h = 0.99 [0.98-1.01]) nor long (RR > 8 h = 1.01 [0.98-1.04]) versus average duration sleep was associated with breast cancer risk. CONCLUSIONS The totality of the prospective evidence does not support an association between sleep duration and breast cancer risk.
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Affiliation(s)
- Angel T Y Wong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Alicia K Heath
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Gillian K Reeves
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sarah Floud
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Valerie Beral
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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17
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Kazemi A, Barati-Boldaji R, Soltani S, Mohammadipoor N, Esmaeilinezhad Z, Clark CCT, Babajafari S, Akbarzadeh M. Intake of Various Food Groups and Risk of Breast Cancer: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies. Adv Nutr 2020; 12:809-849. [PMID: 33271590 PMCID: PMC8166564 DOI: 10.1093/advances/nmaa147] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 08/15/2020] [Accepted: 10/20/2020] [Indexed: 01/11/2023] Open
Abstract
Despite increasing evidence for the association of food-based dietary patterns with breast cancer risk, knowledge about the shape of the relationship and the quality of meta-evidence are insufficient. We aimed to summarize the associations between food groups and risks of breast cancer. We performed a systematic literature search of the PubMed and Embase databases up to March 2020. We included cohort, case-cohort, nested case-control studies, and follow-up studies of randomized controlled trials that investigated the relationship between breast cancer risk and at least 1 of the following food groups: red meat, processed meat, fish, poultry, egg, vegetables, fruit, dairy product (overall, milk, yogurt, and cheese), grains/cereals, nuts, legumes, soy, and sugar-sweetened beverages. Summary risk ratios (RRs) and 95% CIs were estimated using a random-effects model for linear and nonlinear relationships. Inverse linear associations were observed for vegetables (RR per 100 g/d, 0.97; 95% CI, 0.95-0.99), fruit (RR per 100 g/d, 0.97; 95% CI, 0.95-0.99), cheese (RR per 30 g/d, 0.95; 95% CI, 0.91-1.00), and soy (RR per 30 g/d, 0.96; 95% CI, 0.94-0.99), while positive associations were observed for red (RR per 100 g/d, 1.10; 95% CI, 1.03-1.18) and processed meat (RR per 50 g/d, 1.18; 95% CI, 1.04-1.33). None of the other food groups were significantly associated with breast cancer risk. A nonlinear association was observed only for milk, such that the intake of >450 g/d increased the risk, while no association was observed for lower intake amounts. High intakes of vegetables, fruit, cheese, and soy products and low intakes of red and processed meat were associated with lower risks of breast cancer. However, causality cannot be inferred from these statistical correlations.
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Affiliation(s)
| | - Reza Barati-Boldaji
- Nutrition Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sepideh Soltani
- Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Nazanin Mohammadipoor
- Nurtition Research Center, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Cian C T Clark
- Centre for Intelligent Healthcare, Coventry University, Coventry, UK
| | - Siavash Babajafari
- Nutrition Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Marzieh Akbarzadeh
- Nurtition Research Center, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
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18
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Knuppel A, Papier K, Fensom GK, Appleby PN, Schmidt JA, Tong TYN, Travis RC, Key TJ, Perez-Cornago A. Meat intake and cancer risk: prospective analyses in UK Biobank. Int J Epidemiol 2020; 49:1540-1552. [PMID: 32814947 DOI: 10.1093/ije/dyaa142] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/13/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Red and processed meat have been consistently associated with colorectal cancer risk, but evidence for other cancer sites and for poultry intake is limited. We therefore examined associations between total, red and processed meat and poultry intake and incidence for 20 common cancers. METHODS We analyzed data from 474 996 participants (54% women) in UK Biobank. Participants were aged 37-73 years and cancer-free at baseline (2006-10). Multivariable-adjusted Cox proportional hazards models were used to determine associations between baseline meat intake and cancer incidence. Trends in risk across the baseline categories were calculated, assigning re-measured intakes from a subsample. RESULTS During a mean follow-up of 6.9 years, 28 955 participants were diagnosed with malignant cancer. After correction for multiple testing, red and processed meat combined, and processed meat, were each positively associated with colorectal cancer risk [hazard ratio (HR) per 70 g/day higher intake of red and processed meat 1.32, 95% confidence interval 1.14-1.53; HR per 20 g/day higher intake of processed meat 1.18, 1.03-1.31] and red meat was associated with colon cancer risk (HR per 50 g/day higher intake of red meat 1.36, 1.13-1.64). Positive associations of red meat intake with colorectal and prostate cancer, processed meat intake with rectal cancer and poultry intake with cancers of the lymphatic and haematopoietic tissues did not survive multiple testing. CONCLUSIONS Higher intake of red and processed meat was specifically associated with a higher risk of colorectal cancer; there was little evidence that meat intake was associated with risk of other cancers.
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Affiliation(s)
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Georgina K Fensom
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Paul N Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Falzone L, Grimaldi M, Celentano E, Augustin LSA, Libra M. Identification of Modulated MicroRNAs Associated with Breast Cancer, Diet, and Physical Activity. Cancers (Basel) 2020; 12:cancers12092555. [PMID: 32911851 PMCID: PMC7564431 DOI: 10.3390/cancers12092555] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 09/04/2020] [Accepted: 09/07/2020] [Indexed: 02/07/2023] Open
Abstract
Simple Summary Healthy diet and physical activity are able to induce beneficial molecular modifications that have been associated with a lower risk of breast cancer (BC) incidence and a better prognosis for BC patients. Although the beneficial effects of healthy lifestyle have been described, the beneficial epigenetic modifications induced by dietary and exercise intervention in BC patients have not been elucidated yet. On these bases, the aim of the present study was to computationally identify microRNAs (miRNAs) strictly associated with BC progression and with dietary and exercise interventions. Through several computational approaches, a set of miRNAs modulated by diet and exercise and useful as diagnostic and prognostic biomarkers for BC was identified. The results obtained represent the starting point for further validation analyses performed on BC patients undergoing lifestyle interventions to propose the miRNAs here identified as novel biomarkers for BC management. Abstract Background: Several studies have shown that healthy lifestyles prevent the risk of breast cancer (BC) and are associated with better prognosis. It was hypothesized that lifestyle strategies induce microRNA (miRNA) modulation that, in turn, may lead to important epigenetic modifications. The identification of miRNAs associated with BC, diet, and physical activity may give further insights into the role played by lifestyle interventions and their efficacy for BC patients. To predict which miRNAs may be modulated by diet and physical activity in BC patients, the analyses of different miRNA expression datasets were performed. Methods: The GEO DataSets database was used to select miRNA expression datasets related to BC patients, dietary interventions, and physical exercise. Further bioinformatic approaches were used to establish the value of selected miRNAs in BC development and prognosis. Results: The analysis of datasets allowed the selection of modulated miRNAs associated with BC development, diet, and physical exercise. Seven miRNAs were also associated with the overall survival of BC patients. Conclusions: The identified miRNAs may play a role in the development of BC and may have a prognostic value in patients treated with integrative interventions including diet and physical activity. Validation of such modulated miRNAs on BC patients undergoing lifestyle strategies will be mandatory.
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Affiliation(s)
- Luca Falzone
- IRCCS Istituto Nazionale Tumori “Fondazione G. Pascale”, Epidemiology Unit, 80131 Naples, Italy; (M.G.); (E.C.); (L.S.A.A.)
- Correspondence: (L.F.); (M.L.); Tel.: +39-095-478-1278 (L.F.); +39-095-478-1271 (M.L.)
| | - Maria Grimaldi
- IRCCS Istituto Nazionale Tumori “Fondazione G. Pascale”, Epidemiology Unit, 80131 Naples, Italy; (M.G.); (E.C.); (L.S.A.A.)
| | - Egidio Celentano
- IRCCS Istituto Nazionale Tumori “Fondazione G. Pascale”, Epidemiology Unit, 80131 Naples, Italy; (M.G.); (E.C.); (L.S.A.A.)
| | - Livia S. A. Augustin
- IRCCS Istituto Nazionale Tumori “Fondazione G. Pascale”, Epidemiology Unit, 80131 Naples, Italy; (M.G.); (E.C.); (L.S.A.A.)
| | - Massimo Libra
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
- Research Centre for Prevention, Diagnosis, and Treatment of Cancer, University of Catania, 95123 Catania, Italy
- Correspondence: (L.F.); (M.L.); Tel.: +39-095-478-1278 (L.F.); +39-095-478-1271 (M.L.)
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Abstract
Globally, more than 2 million new cases of breast cancer are reported annually. The United States alone has more than 496,000 new cases every year. The worldwide prevalence is approximately 6.8 million cases. Although many risk factors for breast cancer are not modifiable, understanding the role of the factors that can be altered is critical. Alcohol consumption is a modifiable factor. Studies of alcohol in relation to breast cancer incidence have included hundreds of thousands of women. Evidence is consistent that intake, even intake of less than 10–15 grams per day, is associated with increased risk of this disease. In addition, evidence, although less extensive, shows that possible early indicators of risk, such as benign breast disease and increased breast density, are associated with alcohol consumption. Evidence is less strong for differences based on geographic region, beverage type, drinking pattern, or breast cancer subtype. Some studies have examined the association between alcohol and recurrence or survival after a breast cancer diagnosis. These findings are less consistent. Public awareness of alcohol as a risk factor for breast cancer is low, and public health measures to increase that awareness are warranted.
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Affiliation(s)
- Jo L Freudenheim
- School of Public Health and Health Professions, University at Buffalo, Buffalo, New York
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21
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Farvid MS, Spence ND, Holmes MD, Barnett JB. Fiber consumption and breast cancer incidence: A systematic review and meta-analysis of prospective studies. Cancer 2020; 126:3061-3075. [PMID: 32249416 DOI: 10.1002/cncr.32816] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 01/12/2020] [Accepted: 01/14/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND Associations between fiber intake and breast cancer risk have been evaluated in prospective studies, but overall, the evidence is inconsistent. The authors performed a systematic review and meta-analysis of prospective studies to investigate the relation between intake of total and types of fiber with breast cancer incidence. METHODS The MEDLINE and Excerpta Medica dataBASE (EMBASE) databases were searched through July 2019 for prospective studies that reported on the association between fiber consumption and incident breast cancer. The pooled relative risk (RR) and 95% confidence intervals (95% CI) were estimated comparing the highest versus the lowest category of total and types of fiber consumption, using a random-effects meta-analysis. RESULTS The authors identified 17 cohort studies, 2 nested case-control studies, and 1 clinical trial study. Total fiber consumption was associated with an 8% lower risk of breast cancer (comparing the highest versus the lowest category, pooled RR, 0.92; 95% CI, 0.88-0.95 [I2 = 12.6%]). Soluble fiber was found to be significantly inversely associated with risk of breast cancer (pooled RR, 0.90 [95% CI, 0.84-0.96; I2 = 12.6%]) and insoluble fiber was found to be suggestively inversely associated with risk of breast cancer (pooled RR, 0.93 [95% CI, 0.86-1.00; I2 = 33.4%]). Higher total fiber intake was associated with a lower risk of both premenopausal and postmenopausal breast cancers (pooled RR, 0.82 [95% CI, 0.67-0.99; I2 = 35.2%] and pooled RR, 0.91 [95% CI, 0.88-0.95; I2 = 0.0%], respectively). Furthermore, the authors observed a nonsignificant inverse association between intake of total fiber and risk of both estrogen and progesterone receptor-positive and estrogen and progesterone receptor-negative breast cancers. CONCLUSIONS A random-effects meta-analysis of prospective observational studies demonstrated that high total fiber consumption was associated with a reduced risk of breast cancer. This finding was consistent for soluble fiber as well as for women with premenopausal and postmenopausal breast cancer.
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Affiliation(s)
- Maryam S Farvid
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Nicholas D Spence
- Department of Sociology and Interdisciplinary Center for Health and Society, University of Toronto, Toronto, Ontario, Canada
| | - Michelle D Holmes
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Junaidah B Barnett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
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22
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Key TJ, Bradbury KE, Perez-Cornago A, Sinha R, Tsilidis KK, Tsugane S. Diet, nutrition, and cancer risk: what do we know and what is the way forward? BMJ 2020; 368:m511. [PMID: 32139373 PMCID: PMC7190379 DOI: 10.1136/bmj.m511] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kathryn E Bradbury
- National Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rashmi Sinha
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Shoichiro Tsugane
- Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
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23
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Floud S, Simpson RF, Balkwill A, Brown A, Goodill A, Gallacher J, Sudlow C, Harris P, Hofman A, Parish S, Reeves GK, Green J, Peto R, Beral V. Body mass index, diet, physical inactivity, and the incidence of dementia in 1 million UK women. Neurology 2020; 94:e123-e132. [PMID: 31852815 PMCID: PMC6988985 DOI: 10.1212/wnl.0000000000008779] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Accepted: 07/23/2019] [Indexed: 01/20/2023] Open
Abstract
OBJECTIVE To help determine whether midlife obesity is a cause of dementia and whether low body mass index (BMI), low caloric intake, and physical inactivity are causes or merely consequences of the gradual onset of dementia by recording these factors early in a large 20-year prospective study and relating them to dementia detection rates separately during follow-up periods of <5, 5 to 9, 10 to 14, and 15+ years. METHODS A total of 1,136,846 UK women, mean age 56 (SD 5) years, were recruited in 1996 to 2001 and asked about height, weight, caloric intake, and inactivity. They were followed up until 2017 by electronic linkage to National Health Service records, detecting hospital admissions with mention of dementia. Cox regression yielded adjusted rate ratios (RRs) for first dementia detection during particular follow-up periods. RESULTS Fifteen years after the baseline survey, only 1% were lost to follow-up, and 89% remained alive with no detected dementia, of whom 18,695 had dementia detected later, at a mean age of 77 (SD 4) years. Dementia detection during years 15+ was associated with baseline obesity (BMI 30+ vs 20-24 kg/m2: RR 1.21, 95% confidence interval 1.16-1.26, p < 0.0001) but not clearly with low BMI, low caloric intake, or inactivity at baseline. The latter 3 factors were associated with increased dementia rates during the first decade, but these associations weakened substantially over time, approaching null after 15 years. CONCLUSIONS Midlife obesity may well be a cause of dementia. In contrast, behavioral changes due to preclinical disease could largely or wholly account for associations of low BMI, low caloric intake, and inactivity with dementia detection during the first decade of follow-up.
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Affiliation(s)
- Sarah Floud
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA.
| | - Rachel F Simpson
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Angela Balkwill
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Anna Brown
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Adrian Goodill
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - John Gallacher
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Cathie Sudlow
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Phillip Harris
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Albert Hofman
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Sarah Parish
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Gillian K Reeves
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Jane Green
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Richard Peto
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Valerie Beral
- From the Cancer Epidemiology Unit (S.F., R.F.S., A.B., A.B., A.G., G.K.R., J.G., V.B.) and MRC Population Health Research Unit (S.P.), Nuffield Department of Population Health (R.P.), and Department of Psychiatry (J.G.), University of Oxford; Centre for Medical Informatics (C.S.), Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK; Royal Prince Alfred Hospital (P.H.), Sydney, Australia; and Department of Epidemiology (A.H.), Harvard T.H. Chan School of Public Health, Boston, MA
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24
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Heath AK, Muller DC, van den Brandt PA, Papadimitriou N, Critselis E, Gunter M, Vineis P, Weiderpass E, Fagherazzi G, Boeing H, Ferrari P, Olsen A, Tjønneland A, Arveux P, Boutron-Ruault MC, Mancini FR, Kühn T, Turzanski-Fortner R, Schulze MB, Karakatsani A, Thriskos P, Trichopoulou A, Masala G, Contiero P, Ricceri F, Panico S, Bueno-de-Mesquita B, Bakker MF, van Gils CH, Olsen KS, Skeie G, Lasheras C, Agudo A, Rodríguez-Barranco M, Sánchez MJ, Amiano P, Chirlaque MD, Barricarte A, Drake I, Ericson U, Johansson I, Winkvist A, Key T, Freisling H, His M, Huybrechts I, Christakoudi S, Ellingjord-Dale M, Riboli E, Tsilidis KK, Tzoulaki I. Nutrient-wide association study of 92 foods and nutrients and breast cancer risk. Breast Cancer Res 2020; 22:5. [PMID: 31931881 PMCID: PMC6958698 DOI: 10.1186/s13058-019-1244-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 12/30/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Several dietary factors have been reported to be associated with risk of breast cancer, but to date, unequivocal evidence only exists for alcohol consumption. We sought to systematically assess the association between intake of 92 foods and nutrients and breast cancer risk using a nutrient-wide association study. METHODS Using data from 272,098 women participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study, we assessed dietary intake of 92 foods and nutrients estimated by dietary questionnaires. Cox regression was used to quantify the association between each food/nutrient and risk of breast cancer. A false discovery rate (FDR) of 0.05 was used to select the set of foods and nutrients to be replicated in the independent Netherlands Cohort Study (NLCS). RESULTS Six foods and nutrients were identified as associated with risk of breast cancer in the EPIC study (10,979 cases). Higher intake of alcohol overall was associated with a higher risk of breast cancer (hazard ratio (HR) for a 1 SD increment in intake = 1.05, 95% CI 1.03-1.07), as was beer/cider intake and wine intake (HRs per 1 SD increment = 1.05, 95% CI 1.03-1.06 and 1.04, 95% CI 1.02-1.06, respectively), whereas higher intakes of fibre, apple/pear, and carbohydrates were associated with a lower risk of breast cancer (HRs per 1 SD increment = 0.96, 95% CI 0.94-0.98; 0.96, 95% CI 0.94-0.99; and 0.96, 95% CI 0.95-0.98, respectively). When evaluated in the NLCS (2368 cases), estimates for each of these foods and nutrients were similar in magnitude and direction, with the exception of beer/cider intake, which was not associated with risk in the NLCS. CONCLUSIONS Our findings confirm a positive association of alcohol consumption and suggest an inverse association of dietary fibre and possibly fruit intake with breast cancer risk.
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Affiliation(s)
- Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
| | - David C Muller
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
| | - Piet A van den Brandt
- Department of Epidemiology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Nikos Papadimitriou
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Elena Critselis
- Proteomics Facility, Center for Systems Biology, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
| | - Marc Gunter
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Guy Fagherazzi
- Center of Research in Epidemiology and Population Health (CESP), Inserm U1018, Paris-South Paris-Saclay University, Gustave Roussy, Villejuif, France
- Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Pietro Ferrari
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- University of Copenhagen, Copenhagen, Denmark
| | - Patrick Arveux
- Center of Research in Epidemiology and Population Health (CESP), Inserm U1018, Paris-South Paris-Saclay University, Gustave Roussy, Villejuif, France
- Breast and Gynaecologic Cancer Registry of Côte d'Or, Georges-François Leclerc Cancer Centre, UNICANCER, Dijon, France
| | - Marie-Christine Boutron-Ruault
- Center of Research in Epidemiology and Population Health (CESP), Inserm U1018, Paris-South Paris-Saclay University, Gustave Roussy, Villejuif, France
| | - Francesca Romana Mancini
- Center of Research in Epidemiology and Population Health (CESP), Inserm U1018, Paris-South Paris-Saclay University, Gustave Roussy, Villejuif, France
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | - Anna Karakatsani
- Hellenic Health Foundation, Athens, Greece
- 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, "ATTIKON" University Hospital, Haidari, Greece
| | | | | | - Giovanna Masala
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Paolo Contiero
- Environmental Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Pantai Valley, Kuala Lumpur, Malaysia
| | - Marije F Bakker
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Carla H van Gils
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Karina Standahl Olsen
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Guri Skeie
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Cristina Lasheras
- Functional Biology Department, School of Medicine, University of Oviedo, Asturias, Spain
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology - ICO, Group of Research on Nutrition and Cancer, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet of Llobregat, Barcelona, Spain
| | - Miguel Rodríguez-Barranco
- Andalusian School of Public Health (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Universidad de Granada (UGR), Granada, Spain
| | - Maria-José Sánchez
- Andalusian School of Public Health (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Universidad de Granada (UGR), Granada, Spain
| | - Pilar Amiano
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - María-Dolores Chirlaque
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
| | - Aurelio Barricarte
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Isabel Drake
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Ulrika Ericson
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | | | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
| | - Tim Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Heinz Freisling
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Mathilde His
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Inge Huybrechts
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Sofia Christakoudi
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
- MRC Centre for Transplantation, King's College London, London, UK
| | - Merete Ellingjord-Dale
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
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Sasanfar B, Toorang F, Esmaillzadeh A, Zendehdel K. Adherence to the low carbohydrate diet and the risk of breast Cancer in Iran. Nutr J 2019; 18:86. [PMID: 31831005 PMCID: PMC6909448 DOI: 10.1186/s12937-019-0511-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Accepted: 12/03/2019] [Indexed: 12/12/2022] Open
Abstract
Background Previous studies on the link between macronutrients and breast cancer have mostly focused on individual macronutrients rather than their combination. This study investigates the association between adherence to a low carbohydrate diet and odds of breast cancer among women. Methods This hospital-based case-control study was carried out on 412 women with pathologically confirmed breast cancer within the past year and 456 apparently healthy controls that were matched in terms of age and residential place. Dietary data was collected using a 168-item validated FFQ. Participants were classified in terms of quintiles of percentages of energy intake from carbohydrates, proteins, and fats. Then, individuals in the highest quintile of fat and protein intake were given a score of 5 and those in the lowest quintile of these macronutrients were given a score of 1. Participants in the other quintiles of these macronutrients were given the corresponding score. In terms of carbohydrate intake, those in the highest quintile received a score of 1 and those in the lowest quintile received 5. The scores were then summed up to calculate the total low carbohydrate diet (LCD) score, which varied from 3 to 15. A higher score meant greater adherence to a low carbohydrate diet. Results The mean age of study participants was 45.2 y and mean BMI was 28.4 kg/m2. Mean LCD score of participants was 8.9 ± 2.5 (8.9 ± 2.6 in cases and 9.0 ± 2.5 in controls). Although no significant association was observed between adherence to the LCD score and odds of breast cancer in the study population, a trend toward significant positive association was seen between consumption of LCD and odds of breast cancer in postmenopausal women; after controlling for several potential confounders, individuals in the third quartile of LCD score were 1.94 times more likely to have breast cancer than those in the lowest quartile (95% CI: 1.00, 3.76). This association strengthened after controlling for dietary variables (2.50; 1.18–5.32). Even after further adjustment for BMI, this association remained significant (2.64, 1.23–5.67). No significant relationship was observed in premenopausal women, either before or after controlling for confounders. Conclusion Adherence to LCD may be associated with increased odds of breast cancer in postmenopausal women. Prospective cohort studies are needed to confirm these findings.
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Affiliation(s)
- Bahareh Sasanfar
- Cancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, P.O. Box: 13145158, Tehran, Iran
| | - Fatemeh Toorang
- Cancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, P.O. Box: 13145158, Tehran, Iran.,Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Esmaillzadeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran. .,Obesity and Eating Habits Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran. .,Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Kazem Zendehdel
- Cancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, P.O. Box: 13145158, Tehran, Iran. .,Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, I.R, Iran. .,Breast Diseases Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, I, Tehran, R, Iran.
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