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Grant WB. The present understanding of the effects of dietary red meat and the Mediterranean diet on rheumatoid arthritis. Rheumatol Int 2024; 44:1581-1583. [PMID: 38532174 DOI: 10.1007/s00296-024-05587-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 03/20/2024] [Indexed: 03/28/2024]
Affiliation(s)
- William B Grant
- Sunlight, Nutrition and Health Research Center, 1745 Pacific Ave., Suite 504, San Francisco, CA, 94109, USA.
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Kim J, Wilkens LR, Haiman CA, Le Marchand L, Park SY. Plant-based dietary patterns and mortality from all causes, cardiovascular disease, and cancer: The Multiethnic Cohort Study. Clin Nutr 2024; 43:1447-1453. [PMID: 38703511 DOI: 10.1016/j.clnu.2024.04.035] [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: 12/30/2023] [Revised: 04/12/2024] [Accepted: 04/25/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND & AIMS Plant-based dietary patterns have been associated with lower risk of cardiovascular disease (CVD), some cancers, and related mortality in U.S. POPULATIONS However, the quality of plant foods has rarely been considered in the association between plant-based diets and mortality, especially in a population with various racial and ethnic backgrounds. We investigated whether the adherence to plant-based dietary patterns and the healthiness of plant foods are associated with mortality from all causes, CVD, and cancer and evaluated how the association varies by race and ethnicity. METHODS A total of 144,729 African American, Japanese American, Latino, Native Hawaiian, and White men and women who participated in the Multiethnic Cohort Study (1993-2019) were included. Cox models were used to estimate HR and 95% CI of mortality from all causes, CVD, and cancer across quintiles of three plant-based diet scores: overall plant-based diet index (PDI), healthful plant-based diet index (hPDI), and unhealthful plant-based diet index (uPDI). RESULTS Over an average 21 years of follow-up, we identified 65,087 deaths, including 18,663 from CVD and 16,171 from cancer. Comparing the highest versus lowest quintiles, greater scores of PDI and hPDI were associated with a lower risk of all-cause mortality in both men (HR = 0.85, 95% CI: 0.82-0.89 for PDI; HR = 0.88, 95% CI: 0.85-0.91 for hPDI; both P for trend <0.0001) and women (HR = 0.89, 95% CI: 0.86-0.93 for PDI; HR = 0.86, 95% CI: 0.83-0.89 for hPDI; both P for trend <0.0001). An increased risk of all-cause mortality with uPDI was observed only in women (HR = 1.11, 95% CI: 1.07-1.15, P for trend <0.0001; P for heterogeneity by sex = 0.019). A similar trend was shown for CVD mortality with a significant increase in risk with uPDI for both men and women. PDI was associated with a lower risk of cancer mortality in men (HR = 0.86, 95% CI: 0.80-0.92, P for trend <0.0001), while neither hPDI nor uPDI was associated in either sex. Compared with the other racial and ethnic groups within each sex, the association of uPDI with all-cause mortality was stronger in White men (P for heterogeneity by race and ethnicity = 0.009) and weaker in Latino women (P for heterogeneity = 0.002). CONCLUSION A healthy plant-based dietary pattern emphasizing the quality of plant foods was associated with a lower risk of all-cause and CVD mortality in both men and women, although the magnitude of the associations varied across racial and ethnic groups.
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Affiliation(s)
- Jihye Kim
- Department of Genetics and Biotechnology, College of Life Sciences, Kyung Hee University, Yongin, South Korea.
| | - Lynne R Wilkens
- Population Sciences in the Pacific Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Christopher A Haiman
- Department of Population and Public Health Sciences, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Loïc Le Marchand
- Population Sciences in the Pacific Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Song-Yi Park
- Population Sciences in the Pacific Program, University of Hawaii Cancer Center, Honolulu, HI, USA
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Dai J, Yin T, Cao L. Dairy consumption and liver cancer risk: A meta‑analysis of observational studies. Oncol Lett 2024; 27:108. [PMID: 38304173 PMCID: PMC10831398 DOI: 10.3892/ol.2024.14240] [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: 09/26/2023] [Accepted: 12/12/2023] [Indexed: 02/03/2024] Open
Abstract
The connection between the consumption of dairy products and the risk of developing primary liver cancer (PLC) remains unclear. The present study performed a comprehensive meta-analysis with the aim of providing evidence for any connection between the risk of developing PLC and the consumption of dairy products. For this purpose, eligible studies were screened from the PubMed, Cochrane Library and Embase databases before December 2022. A total of 10 cohort studies and 8 case-control studies were included, making a total of 18 studies with 6,562,714 participants and 7,970 PLC cases. The relative risks (RRs) for milk and yogurt were 1.38 [95% confidence interval (CI), 1.07-1.77] and 0.49 (95% CI, 0.27-0.91), which revealed a positive and negative association, respectively, with the risk of developing PLC. There was no association between total dairy (RR, 1.04; 95% CI, 0.84-1.30) or cheese and curd (RR, 1.05; 95% CI, 0.87-1.27) consumption and the risk of developing PLC. On the whole, the findings of the present study demonstrated that high milk consumption was associated with a higher risk of developing PLC, while by contrast, yogurt consumption was associated with a lower risk of developing PLC. Consequently, further studies are required to further examine this association.
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Affiliation(s)
- Jiaying Dai
- Department of Hepatobiliary Surgery, KaiLuan General Hospital, North China University of Science and Technology, Tangshan, Hebei 063000, P.R. China
| | - Tong Yin
- Department of Ultrasound, North China University of Science and Technology Affiliated Hospital, North China University of Science and Technology, Tangshan, Hebei 063000, P.R. China
| | - Liying Cao
- Department of Hepatobiliary Surgery, KaiLuan General Hospital, North China University of Science and Technology, Tangshan, Hebei 063000, P.R. China
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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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Bergengren O, Pekala KR, Matsoukas K, Fainberg J, Mungovan SF, Bratt O, Bray F, Brawley O, Luckenbaugh AN, Mucci L, Morgan TM, Carlsson SV. 2022 Update on Prostate Cancer Epidemiology and Risk Factors-A Systematic Review. Eur Urol 2023; 84:191-206. [PMID: 37202314 PMCID: PMC10851915 DOI: 10.1016/j.eururo.2023.04.021] [Citation(s) in RCA: 81] [Impact Index Per Article: 81.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/29/2023] [Accepted: 04/20/2023] [Indexed: 05/20/2023]
Abstract
CONTEXT Prostate cancer (PCa) is one of the most common cancers worldwide. Understanding the epidemiology and risk factors of the disease is paramount to improve primary and secondary prevention strategies. OBJECTIVE To systematically review and summarize the current evidence on the descriptive epidemiology, large screening studies, diagnostic techniques, and risk factors of PCa. EVIDENCE ACQUISITION PCa incidence and mortality rates for 2020 were obtained from the GLOBOCAN database of the International Agency for Research on Cancer. A systematic search was performed in July 2022 using PubMed/MEDLINE and EMBASE biomedical databases. The review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines and was registered in PROSPERO (CRD42022359728). EVIDENCE SYNTHESIS Globally, PCa is the second most common cancer, with the highest incidence in North and South America, Europe, Australia, and the Caribbean. Risk factors include age, family history, and genetic predisposition. Additional factors may include smoking, diet, physical activity, specific medications, and occupational factors. As PCa screening has become more accepted, newer approaches such as magnetic resonance imaging (MRI) and biomarkers have been implemented to identify patients who are likely to harbor significant tumors. Limitations of this review include the evidence being derived from meta-analyses of mostly retrospective studies. CONCLUSIONS PCa remains the second most common cancer among men worldwide. PCa screening is gaining acceptance and will likely reduce PCa mortality at the cost of overdiagnosis and overtreatment. Increasing use of MRI and biomarkers for the detection of PCa may mitigate some of the negative consequences of screening. PATIENT SUMMARY Prostate cancer (PCa) remains the second most common cancer among men, and screening for PCa is likely to increase in the future. Improved diagnostic techniques can help reduce the number of men who need to be diagnosed and treated to save one life. Avoidable risk factors for PCa may include factors such as smoking, diet, physical activity, specific medications, and certain occupations.
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Affiliation(s)
- Oskar Bergengren
- Department of Surgery (Urology Service), Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
| | - Kelly R Pekala
- Department of Surgery (Urology Service), Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Jonathan Fainberg
- Department of Surgery (Urology Service), Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sean F Mungovan
- Westmead Private Physiotherapy Services and The Clinical Research Institute, Westmead Private Hospital, Sydney, Australia
| | - Ola Bratt
- Department of Urology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Freddie Bray
- Cancer Surveillance Branch, International Agency for Research on Cancer, Lyon, France
| | - Otis Brawley
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Lorelei Mucci
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Todd M Morgan
- Department of Urology, University of Michigan, Ann Arbor, MI, USA
| | - Sigrid V Carlsson
- Department of Surgery (Urology Service), Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Urology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Lumsden AL, Mulugeta A, Hyppönen E. Milk consumption and risk of twelve cancers: A large-scale observational and Mendelian randomisation study. Clin Nutr 2023; 42:1-8. [PMID: 36473423 DOI: 10.1016/j.clnu.2022.11.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 11/01/2022] [Accepted: 11/04/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND & AIMS Milk consumption is a modifiable lifestyle factor that has been associated with several cancer types in observational studies. Limited evidence exists regarding the causality of these relationships. Using a genetic variant (rs4988235) near the lactase gene (LCT) locus that proxies milk consumption, we conducted a comprehensive survey to assess potential causal relationships between milk consumption and 12 types of cancer. METHODS Our analyses were conducted using white British participants of the UK Biobank (n = up to 255,196), the FinnGen cohort (up to 260,405), and available cancer consortia. We included cancers with previous evidence of an association with milk consumption in observational studies, as well as cancers common in both UK Biobank and FinnGen populations (>1000 cases). We evaluated phenotypic associations of milk intake and cancer incidence in the UK Biobank, and then used a Mendelian randomisation (MR) approach to assess causality in the UK Biobank, FinnGen consortium, and combined analyses incorporating additional consortia data for five cancers. In MR meta-analyses, case numbers for cancers of breast, ovary, uterus, cervix, prostate, bladder and urinary tract, colorectum, and lung ranged between 6000 and 148,000 cases, and between 780 and 1342 cases for cancers of the liver, mouth, stomach and diffuse large B-cell lymphoma. RESULTS In observational analyses, milk consumption was associated with higher risk of bladder and urinary tract cancer (OR 1.23, 95% CI 1.03-1.47), but not with any other cancer. This association was not confirmed in the MR analysis, and genetically predicted milk consumption showed a significant association only with lower risk of colorectal cancer (0.89, 0.81-0.98 per additional 50 g/day). In the MR analyses conducted among individual cohorts, genetically predicted milk consumption provided evidence for an association with lower colorectal cancer in the FinnGen cohort (0.85, 0.74-0.97), and in the UK Biobank greater risk of female breast cancer (1.12, 1.03-1.23), and uterine cancer in pre-menopausal females (3.98, 1.48-10.7). CONCLUSION In a comprehensive survey of milk-cancer associations, we confirm of a protective role of milk consumption for colorectal cancer. Our analyses also provide some suggestion for higher risks of breast cancer and premenopausal uterine cancer, warranting further investigation.
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Affiliation(s)
- Amanda L Lumsden
- Australian Centre for Precision Health, Unit of Clinical and Health Sciences, University of South Australia, Adelaide, SA 5000, Australia; South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia.
| | - Anwar Mulugeta
- Australian Centre for Precision Health, Unit of Clinical and Health Sciences, University of South Australia, Adelaide, SA 5000, Australia; South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia; Department of Pharmacology and Clinical Pharmacy, College of Health Sciences, Addis Ababa, Ethiopia.
| | - Elina Hyppönen
- Australian Centre for Precision Health, Unit of Clinical and Health Sciences, University of South Australia, Adelaide, SA 5000, Australia; South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia.
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