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Yin X, Ni G, Zhang X, Fu S, Li H, Gao Z. Tyrosine nitration of glucagon impairs its function: Extending the role of heme in T2D pathogenesis. J Inorg Biochem 2024; 255:112519. [PMID: 38507994 DOI: 10.1016/j.jinorgbio.2024.112519] [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: 11/18/2023] [Revised: 02/24/2024] [Accepted: 03/04/2024] [Indexed: 03/22/2024]
Abstract
New studies raise the possibility that the higher glucagon (GCG) level present in type 2 diabetes (T2D) is a compensatory mechanism to enhance β-cell function, rather than induce dysregulated glucose homeostasis, due to an important role for GCG that acts directly within the pancreas on insulin secretion by intra-islet GCG signaling. However, in states of poorly controlled T2D, pancreatic α cell mass increases (overproduced GCG) in response to insufficient insulin secretion, indicating decreased local GCG activity. The reason for this decrease is not clear. Recent evidence has uncovered a new role of heme in cellular signal transduction, and its mechanism involves reversible binding of heme to proteins. Considering that protein tyrosine nitration in diabetic islets increases and glucose-stimulated insulin secretion (GSIS) decreases, we speculated that heme modulates GSIS by transient interaction with GCG and catalyzing its tyrosine nitration, and the tyrosine nitration may impair GCG activity, leading to loss of intra-islet GCG signaling and markedly impaired insulin secretion. Data presented here elucidate a novel role for heme in disrupting local GCG signaling in diabetes. Heme bound to GCG and induced GCG tyrosine nitration. Two tyrosine residues in GCG were both sensitive to the nitrating species. Further, GCG was also demonstrated to be a preferred target peptide for tyrosine nitration by co-incubation with BSA. Tyrosine nitration impaired GCG stimulated cAMP-dependent signaling in islet β cells and decreased insulin release. Our results provided a new role of heme for impaired GSIS in the pathological process of diabetes.
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Affiliation(s)
- Xiaoying Yin
- Hubei Key Laboratory of Bioinorganic Chemistry & Materia Medica, Wuhan 430074, PR China; School of Chemistry and Chemical Engineering, Huazhong University of Science & Technology, Wuhan 430074, PR China
| | - Guoqi Ni
- Hubei Key Laboratory of Bioinorganic Chemistry & Materia Medica, Wuhan 430074, PR China; School of Chemistry and Chemical Engineering, Huazhong University of Science & Technology, Wuhan 430074, PR China
| | - Xuan Zhang
- Hubei Key Laboratory of Bioinorganic Chemistry & Materia Medica, Wuhan 430074, PR China; School of Chemistry and Chemical Engineering, Huazhong University of Science & Technology, Wuhan 430074, PR China
| | - Shitao Fu
- Hubei Key Laboratory of Bioinorganic Chemistry & Materia Medica, Wuhan 430074, PR China; School of Chemistry and Chemical Engineering, Huazhong University of Science & Technology, Wuhan 430074, PR China
| | - Hailing Li
- Hubei Key Laboratory of Bioinorganic Chemistry & Materia Medica, Wuhan 430074, PR China; School of Chemistry and Chemical Engineering, Huazhong University of Science & Technology, Wuhan 430074, PR China.
| | - Zhonghong Gao
- Hubei Key Laboratory of Bioinorganic Chemistry & Materia Medica, Wuhan 430074, PR China; School of Chemistry and Chemical Engineering, Huazhong University of Science & Technology, Wuhan 430074, PR China.
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Mirzababaei A, Abaj F, Roumi Z, Khosroshahi RA, Aali Y, Clark CCT, Radmehr M, Mirzaei K. Consumption of red, white, and processed meat and odds of developing kidney damage and diabetic nephropathy (DN) in women: a case control study. Sci Rep 2024; 14:10344. [PMID: 38710706 DOI: 10.1038/s41598-024-59097-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 04/08/2024] [Indexed: 05/08/2024] Open
Abstract
Diabetic nephropathy (DN) is one of the most prevalent and severe complications of diabetes mellitus (DM) and is associated with increased morbidity and mortality. We aimed to investigate the associations between red, processed, and white meat consumption and the odds of developing kidney damage and DN in women. We enrolled 105 eligible women with DN and 105 controls (30-65 years). A validated and reliable food frequency questionnaire (FFQ) was used to evaluate the consumption of red, processed, and white meat. Biochemical variables and anthropometric measurements were assessed for all patients using pre-defined protocols. Binary logistic regression was conducted to examine possible associations. The results of the present study showed that there was a direct significant association between high consumption of red meat and processed meats and odds of microalbuminuria (red meat 2.30, 95% CI 1.25, 4.22; P-value = 0.007, processed meat: OR 2.16, 95% CI 1.18, 3.95; P-value = 0.01), severe albuminuria (red meat OR 3.25, 95% CI 1.38, 7.46; P-value = 0.007, processed meat: OR 2.35, 95% CI 1.01, 5.49; P-value = 0.04), BUN levels (red meat: OR 2.56, 95% CI 1.10, 5.93; P-value = 0.02, processed meat: OR 2.42, 95% CI 1.04, 5.62; P-value = 0.03), and DN (red meat 2.53, 95% CI 1.45, 4.42; P-value = 0.001, processed meat: OR 2.21; 95% CI 1.27, 3.85; P-value = 0.005). In summary, our study suggests that higher consumption of red and processed meat sources may be associated with microalbuminuria, severe albuminuria, higher BUN level, and higher odds of DN.
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Affiliation(s)
- Atieh Mirzababaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Faezeh Abaj
- Department of nutrition, Dietetics and food, Monash University, Clayton, Australia
| | - Zahra Roumi
- Department of Nutrition, Electronic Health and Statistics Surveillance Research Center, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Reza Amiri Khosroshahi
- Department of Clinical Nutrition School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Yasaman Aali
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Cain C T Clark
- Centre for Intelligent Healthcare, Coventry University, Coventry, CV1 5FB, UK
| | - Mina Radmehr
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
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Adhikary K, Sarkar R, Maity S, Banerjee I, Chatterjee P, Bhattacharya K, Ahuja D, Sinha NK, Maiti R. The underlying causes, treatment options of gut microbiota and food habits in type 2 diabetes mellitus: a narrative review. J Basic Clin Physiol Pharmacol 2024; 35:153-168. [PMID: 38748886 DOI: 10.1515/jbcpp-2024-0043] [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: 03/23/2024] [Accepted: 05/01/2024] [Indexed: 07/05/2024]
Abstract
Type 2 diabetes mellitus is a long-lasting endocrine disorder characterized by persistent hyperglycaemia, which is often triggered by an entire or relative inadequacy of insulin production or insulin resistance. As a result of resistance to insulin (IR) and an overall lack of insulin in the body, type 2 diabetes mellitus (T2DM) is a metabolic illness that is characterized by hyperglycaemia. Notably, the occurrence of vascular complications of diabetes and the advancement of IR in T2DM are accompanied by dysbiosis of the gut microbiota. Due to the difficulties in managing the disease and the dangers of multiple accompanying complications, diabetes is a chronic, progressive immune-mediated condition that plays a significant clinical and health burden on patients. The frequency and incidence of diabetes among young people have been rising worldwide. The relationship between the gut microbiota composition and the physio-pathological characteristics of T2DM proposes a novel way to monitor the condition and enhance the effectiveness of therapies. Our knowledge of the microbiota of the gut and how it affects health and illness has changed over the last 20 years. Species of the genus Eubacterium, which make up a significant portion of the core animal gut microbiome, are some of the recently discovered 'generation' of possibly helpful bacteria. In this article, we have focused on pathogenesis and therapeutic approaches towards T2DM, with a special reference to gut bacteria from ancient times to the present day.
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Affiliation(s)
- Krishnendu Adhikary
- Department of Interdisciplinary Science, Centurion University of Technology & Management, Bhubaneswar, Odisha, India
| | - Riya Sarkar
- Department of Medical Laboratory Technology, 231513 Dr. B. C. Roy Academy of Professional Courses , Durgapur, West Bengal, India
| | - Sriparna Maity
- Department of Medical Laboratory Technology, 231513 Dr. B. C. Roy Academy of Professional Courses , Durgapur, West Bengal, India
| | - Ipsita Banerjee
- Department of Nutrition, Paramedical College Durgapur, Durgapur, West Bengal, India
| | - Prity Chatterjee
- Department of Biotechnology, Paramedical College Durgapur, Durgapur, West Bengal, India
| | - Koushik Bhattacharya
- School of Paramedics and Allied Health Sciences, Centurion University of Technology & Management, Bhubaneswar, Odisha, India
| | - Deepika Ahuja
- School of Paramedics and Allied Health Sciences, Centurion University of Technology & Management, Bhubaneswar, Odisha, India
| | - Nirmalya Kumar Sinha
- Department of Nutrition and Department of NSS, Raja Narendra Lal Khan Women's College (Autonomous), Midnapore, West Bengal, India
| | - Rajkumar Maiti
- Department of Physiology, 326624 Bankura Christian College , Bankura, West Bengal, India
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Sun X, Yon DK, Nguyen TT, Tanisawa K, Son K, Zhang L, Shu J, Peng W, Yang Y, Branca F, Wahlqvist ML, Lim H, Wang Y. Dietary and other lifestyle factors and their influence on non-communicable diseases in the Western Pacific region. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 43:100842. [PMID: 38456094 PMCID: PMC10920053 DOI: 10.1016/j.lanwpc.2023.100842] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 06/20/2023] [Accepted: 06/25/2023] [Indexed: 03/09/2024]
Abstract
The Western Pacific region is a diverse region experiencing fast economic growth and nutrition transition. We systematically examined 94 cohort studies on the associations of dietary and other lifestyle factors on non-communicable diseases (NCDs) in the region. These studies were mainly from China, Japan, the Republic of Korea, and Singapore. Patterns and changes in lifestyle risk factors for NCDs based on national surveys were examined. They showed some dietary intake improvements over the past three decades, featured as increased consumption of unsaturated oils, fruits, and vegetables, and decreased consumption of sodium and unhealthy fat. Despite a decrease in smoking rate and salt intake, the values remained higher than the global levels in 2019. The ultra-processed food intake in the region increased at a higher rate than the global estimate. National guidelines relevant to NCDs in five selected countries were highlighted. Strong future actions and policies are needed to tackle NCDs.
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Affiliation(s)
- Xiaomin Sun
- The First Affiliated Hospital of Xi'an Jiaotong University Public Health Institute, Global Health Institute, School of Public Health, Xi’an Jiaotong University, Xi’an 710061, People’s Republic of China
- International Obesity and Metabolic Disease Research Center, Xi’an Jiaotong University, Xi’an 710061, China
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul 02447, Republic of Korea
| | | | - Kumpei Tanisawa
- Faculty of Sport Sciences, Waseda University, Saitama 359-1192, Japan
| | - Kumhee Son
- Department of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin 17104, Republic of Korea
- Research Institute of Medical Nutrition, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Ling Zhang
- School of Public Health, Capital Medical University, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Jing Shu
- The First Affiliated Hospital of Xi'an Jiaotong University Public Health Institute, Global Health Institute, School of Public Health, Xi’an Jiaotong University, Xi’an 710061, People’s Republic of China
- International Obesity and Metabolic Disease Research Center, Xi’an Jiaotong University, Xi’an 710061, China
| | - Wen Peng
- Nutrition and Health Promotion Center, Department of Public Health, Medical College, Qinghai University, Xining 810008, China
- Qinghai Provincial Key Laboratory of Prevention and Control of Glucolipid Metabolic Diseases with Traditional Chinese Medicine, Xining 810008, China
| | - Yuexin Yang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Francesco Branca
- Department of Nutrition and Food Safety, World Health Organization, Geneva 1211, Switzerland
| | | | - Hyunjung Lim
- Department of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin 17104, Republic of Korea
- Research Institute of Medical Nutrition, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Youfa Wang
- The First Affiliated Hospital of Xi'an Jiaotong University Public Health Institute, Global Health Institute, School of Public Health, Xi’an Jiaotong University, Xi’an 710061, People’s Republic of China
- International Obesity and Metabolic Disease Research Center, Xi’an Jiaotong University, Xi’an 710061, China
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Wu C, Liu P, Yuan Z. Prospective association between fruit and vegetable intake and the risk of type 2 diabetes amongst Chinese adults: the China Health and Nutrition Survey. Int J Food Sci Nutr 2024; 75:81-91. [PMID: 37933616 DOI: 10.1080/09637486.2023.2278418] [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: 05/03/2023] [Accepted: 10/28/2023] [Indexed: 11/08/2023]
Abstract
This study aimed to prospectively explore the relationship between fruit and vegetable intake (FVI) and type 2 diabetes (T2D) risk amongst 13,175 Chinese adults. Cox proportional hazards models were used to estimate the hazard ratios (HRs) of T2D events in relation to FVI. Results showed that the highest quintile of FVI was inversely associated with T2D risk in men (HR = 0.72, 95% CI: 0.50, 0.98) and women (HR = 0.74, 95% CI: 0.55, 0.97), whereas no such associations were observed between total vegetable intake and T2D in either men (HR = 0.92, 95% CI: 0.65, 1.26) or women (HR = 1.02, 95% CI: 0.77, 1.38). In addition, greater fruit intake was inversely associated with T2D risk in men (HR = 0.42, 95% CI: 0.28, 0.63) and women (HR = 0.64, 95% CI: 0.45, 0.90). Overall, FVI and total fruit intake were inversely associated with T2D risk amongst Chinese adults.
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Affiliation(s)
- Caifeng Wu
- Research Center, Chengdu Medical College, Chengdu, China
| | - Pingping Liu
- Hefei Yaohai District Center for Disease Control and Prevention, Hefei, China
| | - Zhanpeng Yuan
- School of Public Health, Wuhan University, Wuhan, China
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6
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Xu T, Wan S, Shi J, Xu T, Wang L, Guan Y, Luo J, Luo Y, Sun M, An P, He J. Antioxidant Minerals Modified the Association between Iron and Type 2 Diabetes in a Chinese Population. Nutrients 2024; 16:335. [PMID: 38337620 PMCID: PMC10857573 DOI: 10.3390/nu16030335] [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: 12/05/2023] [Revised: 01/12/2024] [Accepted: 01/17/2024] [Indexed: 02/12/2024] Open
Abstract
Inconsistent findings exist regarding the relationship between heme iron intake and type 2 diabetes (T2D) among Western and Eastern populations. Easterners tend to consume a plant-based diet which is abundant in antioxidant minerals. To examine the hypothesis that antioxidant mineral may modify the relationship between iron and T2D, we performed a case-control study by measuring the serum mineral levels in 2198 Chinese subjects. A total of 2113 T2D patients and 2458 controls were invited; 502 T2D patients and 1696 controls were finally analyzed. In the total population, high serum iron showed a positive association with T2D odds (odds ratio [OR] = 1.27 [1.04, 1.55]); high magnesium (OR = 0.18 [0.14, 0.22]), copper (OR = 0.27 [0.21, 0.33]), zinc (OR = 0.37 [0.30, 0.46]), chromium (OR = 0.61 [0.50, 0.74]), or selenium concentrations (OR = 0.39 [0.31, 0.48]) were inversely associated with T2D odds. In contrast, in individuals with higher magnesium (>2673.2 µg/dL), zinc (>136.7 µg/dL), copper (>132.1 µg/dL), chromium (>14.0 µg/dL), or selenium concentrations (>16.8 µg/dL), serum iron displayed no association with T2D (p > 0.05). Serum copper and magnesium were significant modifiers of the association between iron and T2D in individuals with different physiological status (p < 0.05). Our findings support the idea that consuming a diet rich in antioxidant minerals is an effective approach for preventing T2D.
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Affiliation(s)
- Teng Xu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China;
| | - Sitong Wan
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100190, China; (S.W.); (J.S.); (L.W.); (Y.G.); (J.L.); (Y.L.)
| | - Jiaxin Shi
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100190, China; (S.W.); (J.S.); (L.W.); (Y.G.); (J.L.); (Y.L.)
| | - Tiancheng Xu
- School of Food and Health, Beijing Technology & Business University, Beijing 100048, China;
| | - Langrun Wang
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100190, China; (S.W.); (J.S.); (L.W.); (Y.G.); (J.L.); (Y.L.)
| | - Yiran Guan
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100190, China; (S.W.); (J.S.); (L.W.); (Y.G.); (J.L.); (Y.L.)
| | - Junjie Luo
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100190, China; (S.W.); (J.S.); (L.W.); (Y.G.); (J.L.); (Y.L.)
| | - Yongting Luo
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100190, China; (S.W.); (J.S.); (L.W.); (Y.G.); (J.L.); (Y.L.)
| | - Mingyue Sun
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, China
| | - Peng An
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100190, China; (S.W.); (J.S.); (L.W.); (Y.G.); (J.L.); (Y.L.)
| | - Jingjing He
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100190, China; (S.W.); (J.S.); (L.W.); (Y.G.); (J.L.); (Y.L.)
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Kim MJ, Woo HW, Shin MH, Koh SB, Kim HC, Kim YM, Kim MK. Habitual intake of iron, copper, and zinc and the risk of type 2 diabetes in a prospective cohort: The CAVAS (Cardiovascular Disease Association Study). Nutr Metab Cardiovasc Dis 2024; 34:167-176. [PMID: 38000990 DOI: 10.1016/j.numecd.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 10/03/2023] [Accepted: 10/03/2023] [Indexed: 11/26/2023]
Abstract
BACKGROUND AND AIMS Unlike iron, evidence of the association between dietary copper and zinc intake and type 2 diabetes (T2D) risk is limited. This study aimed to examine the prospective associations of dietary intake of iron (total, plant-based, and animal-based), copper, and zinc with T2D risk among adults aged ≥40 years. METHODS AND RESULTS For 16,666 participants, dietary intakes (baseline, cumulative average, and most recent) of iron, copper, and zinc were calculated from repeated food frequency questionnaires; a modified Poisson regression model with a robust error estimator was conducted. In men, positive associations between T2D and baseline dietary intake of Cu and Zn, cumulative average dietary intake of Fe (total and animal-based), Cu and Zn, and most recent dietary intake of Fe (total, plant-based, and animal-based), Cu, and Zn [most recent diet: for total Fe, IRR(95%CI) = 1.93 (1.41-2.64); for plant-based Fe, 1.56 (1.15-2.11); for animal-based Fe, 1.44 (1.09-1.90); for Cu, 3.17 (2.33-4.30); for Zn, 2.18 (1.64-2.89)] were observed, where as in women, there were positive associations of only cumulative average dietary Zn intake and most recent dietary intake of plant-based Fe, Cu, and Zn [most recent diet: for plant-based Fe, 1.30 (1.01-1.68); for Cu, 1.62 (1.27-2.08); for Zn, 2.07 (1.61-2.66)]. CONCLUSION Dietary intakes of iron (total, plant-based, and animal-based), copper, and zinc may be positively associated with T2D risk. These positive associations are predominantly observed in most recent diet and appear to be stronger compared to baseline and cumulative average diet.
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Affiliation(s)
- Min-Ji Kim
- Department of Epidemiology and Health Statistics, Graduate School of Public Health, Hanyang University, Seoul, South Korea; Institute for Health and Society, Hanyang University, Seoul, South Korea
| | - Hye Won Woo
- Institute for Health and Society, Hanyang University, Seoul, South Korea; Department of Preventive Medicine, Hanyang University, College of Medicine, Seoul, South Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University, Medical School, Gwangju, South Korea
| | - Sang Baek Koh
- Department of Preventive Medicine and Institute of Occupational Medicine, Yonsei Wonju College of Medicine, Wonju, South Korea
| | - Hyeon Chang Kim
- Department of Preventive Medicine and Public Health, Yonsei University, College of Medicine, Seoul, South Korea
| | - Yu-Mi Kim
- Department of Epidemiology and Health Statistics, Graduate School of Public Health, Hanyang University, Seoul, South Korea; Institute for Health and Society, Hanyang University, Seoul, South Korea; Department of Preventive Medicine, Hanyang University, College of Medicine, Seoul, South Korea
| | - Mi Kyung Kim
- Department of Epidemiology and Health Statistics, Graduate School of Public Health, Hanyang University, Seoul, South Korea; Institute for Health and Society, Hanyang University, Seoul, South Korea; Department of Preventive Medicine, Hanyang University, College of Medicine, Seoul, South Korea.
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Ramel A, Nwaru BI, Lamberg-Allardt C, Thorisdottir B, Bärebring L, Söderlund F, Arnesen EK, Dierkes J, Åkesson A. White meat consumption and risk of cardiovascular disease and type 2 diabetes: a systematic review and meta-analysis. Food Nutr Res 2023; 67:9543. [PMID: 38187786 PMCID: PMC10770644 DOI: 10.29219/fnr.v67.9543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 10/04/2023] [Accepted: 10/05/2023] [Indexed: 01/09/2024] Open
Abstract
Objectives The aim was to systematically review the associations among white meat consumption, cardiovascular diseases (CVD), and type 2 diabetes (T2D). Methods Databases MEDLINE, Embase, and Cochrane Central Register of Controlled Trials and Scopus were searched (15th October 2021) for randomized intervention trials (RCTs, ≥ 4 weeks of duration) and prospective cohort studies (≥12 month of follow-up) assessing the consumption of white meat as the intervention/exposure. Eligible outcomes for RCTs were cardiometabolic risk factors and for cohorts, fatal and non-fatal CVD and incident T2D. Risk of bias was estimated using the Cochrane's RoB2 and Risk of Bias for Nutrition Observational Studies. Meta-analysis was conducted in case of ≥3 relevant intervention studies or ≥5 cohort studies using random-effects models. The strength of evidence was evaluated using the World Cancer Research Fund's criteria. Results The literature search yielded 5,795 scientific articles, and after screening 43 full-text articles, 23 cohort studies and three intervention studies were included. All included intervention studies matched fat content of intervention and control diets, and none of them showed any significant effects on the selected outcomes of white meat when compared to red meat. Findings from the cohort studies generally did not support any associations between white meat intake and outcomes. Meta-analyses were conducted for CVD mortality (RR: 0.95, 95% CI: 0.87-1.02, P = 0.23, I2 = 25%) and T2D incidence (RR: 0.98, 95% CI: 0.87-1.11, P = 0.81, I2 = 82%). Conclusion The currently available evidence does not indicate a role, beneficial or detrimental, of white meat consumption for CVD and T2D. Future studies investigating potentially different health effects of processed versus unprocessed white meat and substitution of red meat with white meat are warranted.Registration: Prospero registration CRD42022295915.
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Affiliation(s)
- Alfons Ramel
- Faculty of Food Science and Nutrition, University of Iceland, Reykjavik, Iceland
| | - Bright I. Nwaru
- Krefting Research Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | | | | | - Linnea Bärebring
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Fredrik Söderlund
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Solna, Sweden
| | - Erik Kristoffer Arnesen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Jutta Dierkes
- Centre for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Laboratory Medicine and Pathology, Haukeland University Hospital, Bergen, Norway
| | - Agneta Åkesson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Solna, Sweden
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9
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Neuenschwander M, Stadelmaier J, Eble J, Grummich K, Szczerba E, Kiesswetter E, Schlesinger S, Schwingshackl L. Substitution of animal-based with plant-based foods on cardiometabolic health and all-cause mortality: a systematic review and meta-analysis of prospective studies. BMC Med 2023; 21:404. [PMID: 37968628 PMCID: PMC10652524 DOI: 10.1186/s12916-023-03093-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 09/25/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND There is growing evidence that substituting animal-based with plant-based foods is associated with a lower risk of cardiovascular diseases (CVD), type 2 diabetes (T2D), and all-cause mortality. Our aim was to summarize and evaluate the evidence for the substitution of any animal-based foods with plant-based foods on cardiometabolic health and all-cause mortality in a systematic review and meta-analysis. METHODS We systematically searched MEDLINE, Embase, and Web of Science to March 2023 for prospective studies investigating the substitution of animal-based with plant-based foods on CVD, T2D, and all-cause mortality. We calculated summary hazard ratios (SHRs) and 95% confidence intervals (95% CI) using random-effects meta-analyses. We assessed the certainty of evidence (CoE) using the GRADE approach. RESULTS In total, 37 publications based on 24 cohorts were included. There was moderate CoE for a lower risk of CVD when substituting processed meat with nuts [SHR (95% CI): 0.73 (0.59, 0.91), n = 8 cohorts], legumes [0.77 (0.68, 0.87), n = 8], and whole grains [0.64 (0.54, 0.75), n = 7], as well as eggs with nuts [0.83 (0.78, 0.89), n = 8] and butter with olive oil [0.96 (0.95, 0.98), n = 3]. Furthermore, we found moderate CoE for an inverse association with T2D incidence when substituting red meat with whole grains/cereals [0.90 (0.84, 0.96), n = 6] and red meat or processed meat with nuts [0.92 (0.90, 0.94), n = 6 or 0.78 (0.69, 0.88), n = 6], as well as for replacing poultry with whole grains [0.87 (0.83, 0.90), n = 2] and eggs with nuts or whole grains [0.82 (0.79, 0.86), n = 2 or 0.79 (0.76, 0.83), n = 2]. Moreover, replacing red meat for nuts [0.93 (0.91, 0.95), n = 9] and whole grains [0.96 (0.95, 0.98), n = 3], processed meat with nuts [0.79 (0.71, 0.88), n = 9] and legumes [0.91 (0.85, 0.98), n = 9], dairy with nuts [0.94 (0.91, 0.97), n = 3], and eggs with nuts [0.85 (0.82, 0.89), n = 8] and legumes [0.90 (0.89, 0.91), n = 7] was associated with a reduced risk of all-cause mortality. CONCLUSIONS Our findings indicate that a shift from animal-based (e.g., red and processed meat, eggs, dairy, poultry, butter) to plant-based (e.g., nuts, legumes, whole grains, olive oil) foods is beneficially associated with cardiometabolic health and all-cause mortality.
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Affiliation(s)
- Manuela Neuenschwander
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany
| | - Julia Stadelmaier
- Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Julian Eble
- Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Kathrin Grummich
- Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Edyta Szczerba
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany
| | - Eva Kiesswetter
- Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany.
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany.
| | - Lukas Schwingshackl
- Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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10
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Connolly G, Campbell WW. Poultry Consumption and Human Cardiometabolic Health-Related Outcomes: A Narrative Review. Nutrients 2023; 15:3550. [PMID: 37630747 PMCID: PMC10459134 DOI: 10.3390/nu15163550] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/08/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
Poultry meats, in particular chicken, have high rates of consumption globally. Poultry is the most consumed type of meat in the United States (US), with chicken being the most common type of poultry consumed. The amounts of chicken and total poultry consumed in the US have more than tripled over the last six decades. This narrative review describes nutritional profiles of commonly consumed chicken/poultry products, consumption trends, and dietary recommendations in the US. Overviews of the scientific literature pertaining to associations between, and effects of consuming chicken/poultry on, body weight and body composition, cardiovascular disease (CVD), and type II diabetes mellitus (T2DM) are provided. Limited evidence from randomized controlled trials indicates the consumption of lean unprocessed chicken as a primary dietary protein source has either beneficial or neutral effects on body weight and body composition and risk factors for CVD and T2DM. Apparently, zero randomized controlled feeding trials have specifically assessed the effects of consuming processed chicken/poultry on these health outcomes. Evidence from observational studies is less consistent, likely due to confounding factors such as a lack of a description of and distinctions among types of chicken/poultry products, amounts consumed, and cooking and preservation methods. New experimental and observational research on the impacts of consuming chicken/poultry, especially processed versions, on cardiometabolic health is sorely needed.
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Affiliation(s)
| | - Wayne W. Campbell
- Department of Nutrition Science, Purdue University, West Lafayette, IN 47907, USA;
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11
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Shi W, Huang X, Schooling CM, Zhao JV. Red meat consumption, cardiovascular diseases, and diabetes: a systematic review and meta-analysis. Eur Heart J 2023; 44:2626-2635. [PMID: 37264855 DOI: 10.1093/eurheartj/ehad336] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 04/01/2023] [Accepted: 05/16/2023] [Indexed: 06/03/2023] Open
Abstract
AIMS Observational studies show inconsistent associations of red meat consumption with cardiovascular disease (CVD) and diabetes. Moreover, red meat consumption varies by sex and setting, however, whether the associations vary by sex and setting remains unclear. METHODS AND RESULTS This systematic review and meta-analysis was conducted to summarize the evidence concerning the associations of unprocessed and processed red meat consumption with CVD and its subtypes [coronary heart disease (CHD), stroke, and heart failure], type two diabetes mellitus (T2DM), and gestational diabetes mellitus (GDM) and to assess differences by sex and setting (western vs. eastern, categorized based on dietary pattern and geographic region). Two researchers independently screened studies from PubMed, Web of Science, Embase, and the Cochrane Library for observational studies and randomized controlled trials (RCTs) published by 30 June 2022. Forty-three observational studies (N = 4 462 810, 61.7% women) for CVD and 27 observational studies (N = 1 760 774, 64.4% women) for diabetes were included. Red meat consumption was positively associated with CVD [hazard ratio (HR) 1.11, 95% confidence interval (CI) 1.05 to 1.16 for unprocessed red meat (per 100 g/day increment); 1.26, 95% CI 1.18 to 1.35 for processed red meat (per 50 g/day increment)], CVD subtypes, T2DM, and GDM. The associations with stroke and T2DM were higher in western settings, with no difference by sex. CONCLUSION Unprocessed and processed red meat consumption are both associated with higher risk of CVD, CVD subtypes, and diabetes, with a stronger association in western settings but no sex difference. Better understanding of the mechanisms is needed to facilitate improving cardiometabolic and planetary health.
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Affiliation(s)
- Wenming Shi
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Southern District, Hong Kong SAR, China
| | - Xin Huang
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Southern District, Hong Kong SAR, China
| | - C Mary Schooling
- School of Public Health and Health Policy, City University of New York, 55 W 125th St, New York, NY 10027, USA
| | - Jie V Zhao
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Southern District, Hong Kong SAR, China
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12
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Savari M, Damaneh HE, Damaneh HE, Cotton M. Integrating the norm activation model and theory of planned behaviour to investigate farmer pro-environmental behavioural intention. Sci Rep 2023; 13:5584. [PMID: 37020135 PMCID: PMC10076272 DOI: 10.1038/s41598-023-32831-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 04/03/2023] [Indexed: 04/07/2023] Open
Abstract
Sustainable agriculture requires cooperative and coordinated action across multiple sectors and policy domains. However, farmer-stakeholder behaviors and action remain pivotal to sustainable food system management in many rural development contexts. We assess farmer pro-environmental behavioral intention through the development and application of a novel integrated approach combining two dominant psychological theories of behavior change: the Norm Activation Model (NAM) and Theory of Planned Behavior (TPB). We apply this framework to targeted research with potato growers of Kerman Province in southeastern Iran, using survey data (sample n = 381) analyzed through structural equation modeling (SEM). The integrated NAM-TPB model provides insight into both pro-social and self-interested motivations for farmer pro-environmental behavioral intention, with the model explaining 77% of total variance. We found that three variables, Awareness of Consequence (AC), Perceived Behavioral Control (PBC), and Subjective Norms (SN) were the strongest indicators of pro-environmental behavioral intention. We recommend therefore that agricultural extension and state-led farmer education should first emphasize awareness-raising of negative environmental impacts of current farming practices within training programs, and second, improve social learning amongst farmer communities through sustained farmer community engagement, thus "stabilizing" a social norm of environmental protection amongst peer networks of agricultural workers.
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Affiliation(s)
- Moslem Savari
- Department of Agricultural Extension and Education, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran.
| | - Hamed Eskandari Damaneh
- Department of Reclamation of Arid and Mountainous Regions, Faculty of Natural Resources, University of Tehran, Karaj, Iran
| | - Hadi Eskandari Damaneh
- Department of Reclamation of Arid and Mountainous Regions, Faculty of Natural Resources, University of Tehran, Karaj, Iran
| | - Matthew Cotton
- School of Social Sciences, Humanities and Law, Teesside University, Middlesbrough, UK
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13
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Coelho-Júnior HJ, Calvani R, Picca A, Savera G, Tosato M, Landi F, Marzetti E. Protein Intake from Various Foods Sources Is Negatively Associated with Cardiometabolic Risk Markers in Italian Older Adults. J Nutr Health Aging 2023; 27:853-860. [PMID: 37960908 DOI: 10.1007/s12603-023-1981-2] [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: 04/27/2023] [Accepted: 06/01/2023] [Indexed: 11/15/2023]
Abstract
OBJECTIVES To examine the relationships between protein intake from various food sources and cardiometabolic risk markers in Italian older adults. DESIGN Cross-sectional study. SETTING Unconventional settings across Italy (e.g., exhibitions, health promotion campaigns). PARTICIPANTS People 65+ years who provided a written informed consent. MEASUREMENTS Blood pressure (BP), blood glucose, total blood cholesterol, and anthropometric indices were assessed. Daily protein intake was estimated for 12 food items listed in a food frequency questionnaire. RESULTS Three-thousand four-hundred twenty-four older adults (mean age: 72.7 ± 5.7 years; 55% women) were included in the study. Results of linear regression analysis indicated that protein intake from several food sources was negatively associated with BP, waist and hip circumferences, and waist-to-hip ratio in both sexes. Blood glucose levels were inversely associated with many protein sources in women. Positive associations were observed between some protein sources and total blood cholesterol in both men and women. CONCLUSION Our findings suggest that dietary protein is differentially associated with cardiometabolic risk factors depending on sex and food sources.
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Affiliation(s)
- H J Coelho-Júnior
- Hélio José Coelho-Júnior, Emanuele Marzetti, Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy, (H.J.C.-J.), (E.M.); +39 (06) 3015-4859
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14
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Luong R, Ribeiro RV, Rangan A, Naganathan V, Blyth F, Waite LM, Handelsman DJ, Le Couteur DG, Seibel MJ, Hirani V. Haem Iron Intake Is Associated with Increased Major Adverse Cardiovascular Events, All-Cause Mortality, Congestive Cardiac Failure, and Coronary Revascularisation in Older Men: The Concord Health and Ageing in Men Project. J Nutr Health Aging 2023; 27:559-570. [PMID: 37498103 DOI: 10.1007/s12603-023-1945-6] [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: 02/27/2023] [Accepted: 06/22/2023] [Indexed: 07/28/2023]
Abstract
BACKGROUND Nutritional intake can influence major adverse cardiovascular events (MACE). Dietary iron is found in two forms: haem-iron (HI) only found in animal sources and non-haem iron (NHI) present mostly in plant sources. OBJECTIVE We evaluated the associations between dietary iron intakes with MACE and iron status biomarkers. DESIGN Prospective cohort study. SETTING The Concord Health and Ageing in Men Project, Sydney, Australia. PARTICIPANTS 539 community-dwelling older Australian men aged 75 years and older. METHODS Men underwent nutritional assessment using a validated diet history questionnaire. Entries were converted to food groups and nutrients. The dietary calculation was used to derive HI and NHI intakes from total iron intakes. Analyses of iron intakes with iron status biomarkers were conducted using linear regression, and with MACE and individual endpoints were conducted using Cox regression. Five-point MACE comprised of all-cause mortality, myocardial infarction (MI), congestive cardiac failure (CCF), coronary revascularisation, and/or ischaemic stroke. Four-point MACE included the four endpoints of MI, CCF, coronary revascularisation, and/or ischaemic stroke, and excluded all-cause mortality. RESULTS At a median of 5.3 (4.6 - 6.3) years follow-up, the incidences were: 31.2% (n = 168) five-point MACE, 17.8% (n = 96) four-point MACE excluding all-cause mortality, 20.1% (n = 111) all-cause mortality, 11.3% (n = 61) CCF, and 3.1% (n = 15) coronary revascularisation. In adjusted analyses, higher HI intake (per 1mg increment) was associated with increased five-point MACE (HR: 1.45 [95% CI: 1.16, 1.80, P = .001]), four-point MACE excluding all-cause mortality (HR: 1.64 [95% CI: 1.26, 2.15, P <.001]), all-cause mortality (HR: 1.51 [95% CI: 1.15, 1.99, P = .003]), CCF (HR: 2.08 [95% CI: 1.45, 2.98, P <.001]), and coronary revascularisation (HR: 1.89 [95% CI: 1.15, 3.10, P = .012]). Compared with the bottom tertile of NHI intake, the middle tertile of NHI intake was associated with reduced risk of all-cause mortality (HR: 0.56 [95% CI: 0.33, 0.96, P = .035]). Total iron intake was not associated with MACE and individual endpoints. Dietary iron intakes were not associated with serum iron and haemoglobin. CONCLUSION Higher haem iron intake was independently associated with increased risks of five-point MACE, four-point MACE excluding all-cause mortality, all-cause mortality, CCF, and coronary revascularisation in older men over 5 years.
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Affiliation(s)
- R Luong
- Rebecca Luong, Level 4, Charles Perkins Centre D17, University of Sydney, NSW 2006, Australia,
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15
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Damigou E, Kosti RI, Panagiotakos DB. White Meat Consumption and Cardiometabolic Risk Factors: A Review of Recent Prospective Cohort Studies. Nutrients 2022; 14:nu14245213. [PMID: 36558372 PMCID: PMC9781954 DOI: 10.3390/nu14245213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022] Open
Abstract
Although the association between meat consumption and cardiovascular diseases (CVDs) has been extensively investigated, studies focusing specifically on the relationship between white meat consumption and CVD risk factors are fewer with controversial findings. The aim was to evaluate the relationship between white meat consumption and the incidence of cardiometabolic risk factors. A comprehensive literature search of PubMed articles was conducted from 2010 to 2022 (1 November), according to PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. Thirteen prospective cohort studies were selected studying mainly poultry, with the exception of one study that also analyzed rabbit meat. From the seven studies on the risk of type 2 diabetes mellitus, four studies found no association, two studies found positive associations, and two studies found inverse associations when comparing poultry to other meats. Of the two studies on the risk of hypertension, one observed no association and one a positive association. Of the two studies on weight management, one observed a positive association with weight gain, the other study observed the same relationship only for chicken with skin, while for chicken without skin a positive relationship with relative weight loss was found. As for metabolic syndrome and its components, two studies revealed inverse associations with white meat intake. Only fresh lean white meat consumption seems to have potential beneficial effects on cardiometabolic risk factors. Future research should scrutinize consumption habits related to white meat intake when investigating its association with cardiometabolic risk factors.
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Affiliation(s)
- Evangelia Damigou
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 176 76 Athens, Greece
| | - Rena I. Kosti
- Department of Nutrition and Dietetics, School of Physical Education, Sports and Dietetics, University of Thessaly, 382 21 Trikala, Greece
| | - Demosthenes B. Panagiotakos
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 176 76 Athens, Greece
- Correspondence:
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16
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Wang Y, Xie W, Tian T, Zhang J, Zhu Q, Pan D, Xu D, Lu Y, Sun G, Dai Y. The Relationship between Dietary Patterns and High Blood Glucose among Adults Based on Structural Equation Modelling. Nutrients 2022; 14:nu14194111. [PMID: 36235763 PMCID: PMC9570980 DOI: 10.3390/nu14194111] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/23/2022] [Accepted: 09/29/2022] [Indexed: 11/06/2022] Open
Abstract
The aim of this study was to examine the association between dietary patterns and high blood glucose in Jiangsu province of China by using structural equation modelling (SEqM). Methods: Participants in this cross-sectional study were recruited through the 2015 Chinese Adult Chronic Disease and Nutrition Surveillance Program in Jiangsu province using a multistage stratified cluster random sampling method. Dietary patterns were defined by exploratory factor analysis (EFA). Confirmatory factor analysis (CFA) was used to test the fitness of EFA. SEqM was used to investigate the association between dietary patterns and high blood glucose. Results: After exclusion, 3137 participants with complete information were analysed for this study. The prevalence of high blood glucose was 9.3% and 8.1% in males and females, respectively. Two dietary patterns: the modern dietary pattern (i.e., high in red meats and its products, vegetables, seafood, condiments, fungi and algae, main grains and poultry; low in other grains, tubers and preserves), and the fruit−milk dietary pattern (i.e., high in milk and its products, fruits, eggs, nuts and seeds and pastry snacks, but low in vegetable oils) were established. Modern dietary pattern was found to be positively associated with high blood glucose in adults in Jiangsu province (multivariate logistic regression: OR = 1.561, 95% CI: 1.025~2.379; SEqM: β = 0.127, p < 0.05). Conclusion: The modern dietary pattern—high intake of red meats—was significantly associated with high blood glucose among adults in Jiangsu province of China, while the fruit−milk dietary pattern was not significantly associated with high blood glucose.
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Affiliation(s)
- Yuanyuan Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China
| | - Wei Xie
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Ting Tian
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Jingxian Zhang
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Qianrang Zhu
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Da Pan
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China
| | - Dengfeng Xu
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China
| | - Yifei Lu
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China
| | - Guiju Sun
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China
| | - Yue Dai
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
- Correspondence: ; Tel./Fax: +86-25-83759341
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17
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Lescinsky H, Afshin A, Ashbaugh C, Bisignano C, Brauer M, Ferrara G, Hay SI, He J, Iannucci V, Marczak LB, McLaughlin SA, Mullany EC, Parent MC, Serfes AL, Sorensen RJD, Aravkin AY, Zheng P, Murray CJL. Health effects associated with consumption of unprocessed red meat: a Burden of Proof study. Nat Med 2022; 28:2075-2082. [PMID: 36216940 PMCID: PMC9556326 DOI: 10.1038/s41591-022-01968-z] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 07/26/2022] [Indexed: 12/19/2022]
Abstract
Characterizing the potential health effects of exposure to risk factors such as red meat consumption is essential to inform health policy and practice. Previous meta-analyses evaluating the effects of red meat intake have generated mixed findings and do not formally assess evidence strength. Here, we conducted a systematic review and implemented a meta-regression-relaxing conventional log-linearity assumptions and incorporating between-study heterogeneity-to evaluate the relationships between unprocessed red meat consumption and six potential health outcomes. We found weak evidence of association between unprocessed red meat consumption and colorectal cancer, breast cancer, type 2 diabetes and ischemic heart disease. Moreover, we found no evidence of an association between unprocessed red meat and ischemic stroke or hemorrhagic stroke. We also found that while risk for the six outcomes in our analysis combined was minimized at 0 g unprocessed red meat intake per day, the 95% uncertainty interval that incorporated between-study heterogeneity was very wide: from 0-200 g d-1. While there is some evidence that eating unprocessed red meat is associated with increased risk of disease incidence and mortality, it is weak and insufficient to make stronger or more conclusive recommendations. More rigorous, well-powered research is needed to better understand and quantify the relationship between consumption of unprocessed red meat and chronic disease.
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Affiliation(s)
- Haley Lescinsky
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Ashkan Afshin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Charlie Ashbaugh
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Catherine Bisignano
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Michael Brauer
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Giannina Ferrara
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Jiawei He
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Vincent Iannucci
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Laurie B Marczak
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Susan A McLaughlin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Erin C Mullany
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Marie C Parent
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Audrey L Serfes
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Reed J D Sorensen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Aleksandr Y Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- Department of Applied Mathematics, University of Washington, Seattle, WA, USA
| | - Peng Zheng
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
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18
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Qin P, Liu D, Feng Y, Yang X, Li Y, Wu Y, Hu H, Zhang J, Li T, Li X, Zhao Y, Chen C, Hu F, Zhang M, Liu Y, Sun X, Hu D. Association between cardiovascular health metrics and risk of incident type 2 diabetes mellitus: the Rural Chinese Cohort Study. Acta Diabetol 2022; 59:1063-1071. [PMID: 35643944 DOI: 10.1007/s00592-022-01896-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/19/2022] [Indexed: 11/01/2022]
Abstract
AIMS The evidence for association between cardiovascular health (CVH) metrics and type 2 diabetes mellitus (T2DM) in Chinese population is limited. We explored the association between the number of ideal CVH metrics and risk of incident T2DM in a rural Chinese population. MATERIALS AND METHODS A total of 12,150 rural Chinese participants (median age 51 years) were enrolled. A Cox proportional-hazards model was used to assess the association between the number of ideal CVH metrics and risk of incident T2DM by using hazard ratios (HRs) and 95% confidence intervals (CIs). We another conducted multiplicative and additive interaction effect between the number of ideal CVH metrics and sex or age on incident T2DM, and subgroup analyses of the association were also conducted by sex and age. RESULTS During a median of 6.01 years of follow-up, 840 incident cases of T2DM occurred. The number of ideal CVH metrics was negatively associated with risk of incident T2DM (per unit increase: HR = 0.76, 95% CI 0.70-0.82). We also observed both multiplicative and additive interaction effect between lower number of ideal CVH metrics and sex on incident T2DM, and multiplicative interaction effect between lower number of ideal CVH metrics and age on incident T2DM was observed. The association remained statistically significant for both men and women, or participants with age < 65 years. CONCLUSIONS Increasing number of ideal CVH metrics was associated with reduced risk of incident T2DM, which presented age- and sex-related differential associations.
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Affiliation(s)
- Pei Qin
- Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China
| | - Dechen Liu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China
| | - Yifei Feng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xingjin Yang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yang Li
- Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China
| | - Yuying Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China
| | - Huifang Hu
- Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Jinli Zhang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Tianze Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xi Li
- Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Chuanqi Chen
- Department of Endocrinology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, Guangdong, People's Republic of China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China
| | - Yu Liu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China
| | - Xizhuo Sun
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China
| | - Dongsheng Hu
- Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China.
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China.
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Mazenc A, Mervant L, Maslo C, Lencina C, Bézirard V, Levêque M, Ahn I, Alquier-Bacquié V, Naud N, Héliès-Toussaint C, Debrauwer L, Chevolleau S, Guéraud F, Pierre FHF, Théodorou V, Olier M. Maternal heme-enriched diet promotes a gut pro-oxidative status associated with microbiota alteration, gut leakiness and glucose intolerance in mice offspring. Redox Biol 2022; 53:102333. [PMID: 35588638 PMCID: PMC9119830 DOI: 10.1016/j.redox.2022.102333] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 05/06/2022] [Accepted: 05/06/2022] [Indexed: 12/17/2022] Open
Abstract
Maternal environment, including nutrition and microbiota, plays a critical role in determining offspring's risk of chronic diseases such as diabetes later in life. Heme iron requirement is amplified during pregnancy and lactation, while excessive dietary heme iron intake, compared to non-heme iron, has shown to trigger acute oxidative stress in the gut resulting from reactive aldehyde formation in conjunction with microbiota reshape. Given the immaturity of the antioxidant defense system in early life, we investigated the extent to which a maternal diet enriched with heme iron may have a lasting impact on gut homeostasis and glucose metabolism in 60-day-old C3H/HeN mice offspring. As hypothesized, the form of iron added to the maternal diet differentially governed the offspring's microbiota establishment despite identical fecal iron status in the offspring. Importantly, despite female offspring was unaffected, oxidative stress markers were however higher in the gut of male offspring from heme enriched-fed mothers, and were accompanied by increases in fecal lipocalin-2, intestinal para-cellular permeability and TNF-α expression. In addition, male mice displayed blood glucose intolerance resulting from impaired insulin secretion following oral glucose challenge. Using an integrated approach including an aldehydomic analysis, this male-specific phenotype was further characterized and revealed close covariations between unidentified putative reactive aldehydes and bacterial communities belonging to Bacteroidales and Lachnospirales orders. Our work highlights how the form of dietary iron in the maternal diet can dictate the oxidative status in gut offspring in a sex-dependent manner, and how a gut microbiota-driven oxidative challenge in early life can be associated with gut barrier defects and glucose metabolism disorders that may be predictive of diabetes development. Maternal heminic vs. non-heminic iron intake differentially and persistently imprints the offspring's fecal microbiota. Males from heme-fed dams exhibit increased gut lumen reactive aldehydes in absence of direct dietary exposure to heme iron. Some of the increased reactive aldehydes closely covariated with Orders belonging to Bacteroidales and Lachnospirales. Maternal exposure to dietary heme iron impairs gut barrier and glucose tolerance in male offspring.
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Affiliation(s)
- Anaïs Mazenc
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Loïc Mervant
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France; Metatoul-AXIOM Plaform, National Infrastructure for Metabolomics and Fluxomics, MetaboHUB, Toulouse, France
| | - Claire Maslo
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Corinne Lencina
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Valérie Bézirard
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Mathilde Levêque
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Ingrid Ahn
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Valérie Alquier-Bacquié
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Nathalie Naud
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Cécile Héliès-Toussaint
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Laurent Debrauwer
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France; Metatoul-AXIOM Plaform, National Infrastructure for Metabolomics and Fluxomics, MetaboHUB, Toulouse, France
| | - Sylvie Chevolleau
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France; Metatoul-AXIOM Plaform, National Infrastructure for Metabolomics and Fluxomics, MetaboHUB, Toulouse, France
| | - Françoise Guéraud
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Fabrice H F Pierre
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Vassilia Théodorou
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Maïwenn Olier
- Toxalim (Research Centre in Food Toxicology), INRAE, Université de Toulouse, ENVT, INP-Purpan, UPS, Toulouse, France.
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20
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Dietary iron intake and the risk of type 2 diabetes: a systematic review and dose-response meta-analysis of prospective cohort studies. Eur J Nutr 2022; 61:2279-2296. [PMID: 35107626 DOI: 10.1007/s00394-022-02813-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 01/19/2022] [Indexed: 12/26/2022]
Abstract
PURPOSE We aimed to assess the long-term association of total, heme, non-heme, and supplemental iron intake and risk of type 2 diabetes (T2D). METHODS PubMed, Scopus, and Web of Science were searched to October 2021. Two researchers extracted data in duplicate and rated the certainty in the estimates using the GRADE approach. Random-effects models were applied to estimate the relative risks (RRs) and 95% CIs. Dose-response associations were modeled by a one-stage weighted mixed-effects meta-analysis. RESULTS Eleven prospective cohort studies 323,788 participants and 28,837 incident cases of T2D were included. High versus low category meta-analysis indicated that higher heme iron intake was associated with a 20% higher risk of T2D (95% CI 1.07, 1.35; I2 = 77%, n = 11; GRADE = moderate). Dose-response analysis indicated a positive monotonic association, wherein each 1 mg/day increment in heme iron intake was related to a 16% higher risk (95% CI 1.03, 1.30). No significant relationship was detected between dietary intakes of total, non-heme, and supplemental iron and risk of T2D (GRADE = very low). CONCLUSIONS In summary, higher heme iron intake was associated with a higher risk of T2D. Our results are in line with existing evidence indicating that adopting a Western-style dietary pattern, rich in dietary sources of heme iron, was associated with a higher risk of T2D. REGISTRY AND REGISTRY NUMBER The protocol of this systematic review was registered at PROSPERO (registration number: CRD42021226835).
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21
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You W, Henneberg R, Saniotis A, Ge Y, Henneberg M. Total Meat Intake is Associated with Life Expectancy: A Cross-Sectional Data Analysis of 175 Contemporary Populations. Int J Gen Med 2022; 15:1833-1851. [PMID: 35228814 PMCID: PMC8881926 DOI: 10.2147/ijgm.s333004] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 12/30/2021] [Indexed: 01/08/2023] Open
Abstract
Background The association between a plant-based diet (vegetarianism) and extended life span is increasingly criticised since it may be based on the lack of representative data and insufficient removal of confounders such as lifestyles. Aim We examined the association between meat intake and life expectancy at a population level based on ecological data published by the United Nations agencies. Methods Population-specific data were obtained from 175 countries/territories. Scatter plots, bivariate, partial correlation and linear regression models were used with SPSS 25 to explore and compare the correlations between newborn life expectancy (e(0)), life expectancy at 5 years of life (e(5)) and intakes of meat, and carbohydrate crops, respectively. The established risk factors to life expectancy – caloric intake, urbanization, obesity and education levels – were included as the potential confounders. Results Worldwide, bivariate correlation analyses revealed that meat intake is positively correlated with life expectancies. This relationship remained significant when influences of caloric intake, urbanization, obesity, education and carbohydrate crops were statistically controlled. Stepwise linear regression selected meat intake, not carbohydrate crops, as one of the significant predictors of life expectancy. In contrast, carbohydrate crops showed weak and negative correlation with life expectancy. Conclusion If meat intake is not incorporated into nutrition science for predicting human life expectancy, results could prove inaccurate.
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Affiliation(s)
- Wenpeng You
- Biological Anthropology and Comparative Anatomy Research Unit (BACARU), Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
- FAPAB Research Center, Avola SR, 96012, Sicily, Italy
- Correspondence: Wenpeng You, Adelaide Medical School, University of Adelaide, Adelaide, SA, 5005, Australia, Email
| | - Renata Henneberg
- Biological Anthropology and Comparative Anatomy Research Unit (BACARU), Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Arthur Saniotis
- Biological Anthropology and Comparative Anatomy Research Unit (BACARU), Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
- Department of Anthropology, Ludwik Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Yanfei Ge
- Australian Graduate School of Management (Executive MBA Candidate), University of New South Wales, Sydney, New South Wales, Australia
- Community Services, Health & Lifestyle, Technical and Further Education, Adelaide, South Australia, 5000, Australia
| | - Maciej Henneberg
- Biological Anthropology and Comparative Anatomy Research Unit (BACARU), Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
- Institute of Evolutionary Medicine, University of Zürich, Zurich, Switzerland
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22
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Rahimi-Sakak F, Maroofi M, Emamat H, Hekmatdoost A. Red and Processed Meat Intake in Relation to Non-Alcoholic Fatty Liver Disease Risk: Results from a Case-Control Study. Clin Nutr Res 2022; 11:42-49. [PMID: 35223680 PMCID: PMC8844531 DOI: 10.7762/cnr.2022.11.1.42] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 01/16/2022] [Accepted: 01/19/2022] [Indexed: 11/19/2022] Open
Abstract
Data on the association between dietary red meat intake and non-alcoholic fatty liver disease (NAFLD) are limited. We designed this case-control study to determine the association between red and processed meat consumption and risk of NAFLD in Iranian adults. A total of 999 eligible subjects, including 196 NAFLD patients and 803 non-NAFLD controls were recruited from hepatology clinics in Tehran, Iran. A reliable and validated food frequency questionnaire was used to evaluate the red and processed meat intakes. The analyzes performed showed that in an age- and gender-adjusted model, patients with the highest quartile of red meat intake had an approximately three-fold higher risk of NAFLD than those with the lowest quartile of intake (odds ratio [OR], 3.42; 95% confidence interval [CI], 2.16–5.43; p value < 0.001). Moreover, patients in the highest quartile of processed meat intake had a 3.28 times higher risk of NAFLD, compared to the lowest quartile(OR, 3.28; 95% CI, 1.97–5.46; p value < 0.001).Both these associations remained significant by implementing additional adjustments for body mass index, energy intake, dietary factors, diabetes, smoking, and physical activity (OR, 3.65; 95% CI, 1.85–7.18; p value < 0.001 and OR, 3.25; 95% CI, 1.57–6.73; p value = 0.002, respectively).Our findings indicate that both red and processed meat intakes are related to the increased odds of NAFLD; however, prospective studies are needed to confirm these results.
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Affiliation(s)
- Fatemeh Rahimi-Sakak
- Student Research Committee, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran 198396-3113, Iran
| | - Mahsa Maroofi
- Student Research Committee, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran 198396-3113, Iran
| | - Hadi Emamat
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran 198396-3113, Iran
| | - Azita Hekmatdoost
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran 198396-3113, Iran
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23
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Karusheva Y. Die Rolle der verzweigtkettigen Aminosäuren in der Entwicklung und Progression der Insulinresistenz und des Typ-2-Diabetes – Förderpreis der DDG 2021 – eine Kurzübersicht der Geförderten Yanislava Karusheva. DIABETOL STOFFWECHS 2021. [DOI: 10.1055/a-1664-5081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Lin Q, Lun J, Zhang J, He X, Gong Z, Gao X, Cao H. [Gut microbiome composition in pre-adolescent children with different meat consumption patterns]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2021; 41:1801-1088. [PMID: 35012911 DOI: 10.12122/j.issn.1673-4254.2021.12.07] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVE To compare the composition of gut microbiome in pre-adolescent children with different meat consumption patterns. METHODS This study was conducted among 44 healthy school-age children (age range 8-10 years) in Shenzhen. According to the monthly intake frequency ratio of white meat and red meat, the children were divided into red-meat group (n=15), balanced group (n=16) and white-meat group (n=13). The Food Frequency Questionnaire (FFQ) was used to investigate the children's diet, and samples of morning feces were collected to study the gut microbiome. The fecal DNA was extracted and amplified, and the composition of the intestinal microbiome of the children was analyzed using Illumina Miseq high-throughput sequencing. RESULTS The children in red meat and white meat groups showed significantly lower abundance and diversity of gut microbiota than those with a balanced diet (P < 0.05). LEfSe analysis of the genus in the fecal samples showed that Escherichia-Shigella, Coprobacillus and Peptoniphilus were enriched in red-meat group and Holdemanella was enriched in the white-meat group as compared with the balanced group. In the samples of the balanced group, 31 and 25 genus (such as Laurespirillum and Rumenococcus) were significantly enriched as compared with the samples of the red-meat group and the white-meat group, respectively. Prediction of the gut microbiota KEGG pathway using PICRUSt2 suggested that compared with that in the balanced group, the gut microbiota in red-meat group had significant activation of the pathways involving lipopolysaccharide biosynthesis (P < 0.01), arachidonic acid metabolism (P < 0.01), thyroid hormone synthesis (P < 0.001), and carbohydrate digestion and absorption (P < 0.05). But compared with the white-meat group, the red-meat group showed only significant activation of the pathways of arachidonic acid metabolism (P < 0.05) and thyroid hormone synthesis (P < 0.05). CONCLUSION The preference of red meat and white meat consumption may significantly reduce the abundance and diversity of gut microbiota in pre-adolescent children. A red meat-rich diet may cause enrichment of Escherichia-Shigella and significant activation of lipopolysaccharide biosynthesis pathway, suggesting the potential benefit of a balanced diet for pre-adolescent children.
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Affiliation(s)
- Q Lin
- Department of Microbiology, Guangdong Provincial Key Laboratory of Tropical Diseases Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - J Lun
- Department of Microbiology, Guangdong Provincial Key Laboratory of Tropical Diseases Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - J Zhang
- Department of Rehabilitation Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X He
- Department of Microbiology, Guangdong Provincial Key Laboratory of Tropical Diseases Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Z Gong
- Department of Microbiology, Guangdong Provincial Key Laboratory of Tropical Diseases Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - X Gao
- Department of Microbiology, Guangdong Provincial Key Laboratory of Tropical Diseases Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - H Cao
- Department of Microbiology, Guangdong Provincial Key Laboratory of Tropical Diseases Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
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Liu M, Liu C, Zhang Z, Zhou C, Li Q, He P, Zhang Y, Li H, Qin X. Quantity and variety of food groups consumption and the risk of diabetes in adults: A prospective cohort study. Clin Nutr 2021; 40:5710-5717. [PMID: 34743048 DOI: 10.1016/j.clnu.2021.10.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 09/25/2021] [Accepted: 10/01/2021] [Indexed: 02/02/2023]
Abstract
BACKGROUND Evidence remains inconsistent regarding the association between quantity of food groups and diabetes, and remains scarce regarding the relation of dietary diversity with diabetes. OBJECTIVE We aimed to evaluate the prospective relation of variety and quantity of 12 major food groups with new-onset diabetes. METHODS A total of 16,117 participants who were free of diabetes at baseline from China Health and Nutrition Survey were included. Dietary intake and variety score were measured by three consecutive 24-h dietary recalls combined with a household food inventory in each survey round. The study outcome was new-onset diabetes, defined as self-reported physician-diagnosed diabetes during the follow-up period. Cox proportional hazards models and restricted cubic spline analysis were used to estimate hazard ratios (HR) and dose-response relation, respectively. RESULTS During a median follow-up duration of 9.0 years, a total of 1088 (6.7%) participants developed new-onset diabetes. Overall, there was a significant inverse association between dietary variety score and the risk of new-onset diabetes (per one point increment; HR, 0.85; 95% CI, 0.80-0.90). In addition, there were U-shaped associations of refined grains, whole grains, nuts, red meat, poultry, processed meat, dairy products, and aquatic products intake with diabetes, and L-shaped associations of legumes, vegetables, fruits, and eggs intake with diabetes (all P values for nonlinearity <0.001). CONCLUSION Our results suggested that greater variety of food groups consumption was associated with significantly lower risk of new-onset diabetes. Furthermore, when the quantity of food groups intakes was relatively low, there was a negative correlation between the quantity of each different food group consumption and diabetes risk; however, when intake exceeded certain thresholds, the risks of new-onset diabetes increased or reached a plateau.
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Affiliation(s)
- Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Chengzhang Liu
- Institute of Biomedicine, Anhui Medical University, Hefei, 230032, China; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Zhuxian Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Qinqin Li
- Institute of Biomedicine, Anhui Medical University, Hefei, 230032, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Huan Li
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China.
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Dietary iron intake and the risk of type 2 diabetes mellitus in middle-aged and older adults in urban China: a prospective cohort study. Br J Nutr 2021; 126:1091-1099. [PMID: 33308344 DOI: 10.1017/s0007114520005048] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
The association between dietary Fe intake and diabetes risk remains inconsistent. We aimed to explore the association between dietary Fe intake and type 2 diabetes mellitus (T2DM) risk in middle-aged and older adults in urban China. This study used data from the Guangzhou Nutrition and Health Study, an on-going community-based prospective cohort study. Participants were recruited from 2008 to 2013 in Guangzhou community. A total of 2696 participants aged 40-75 years without T2DM at baseline were included in data analyses, with a median of 5·6 (interquartile range 4·1-5·9) years of follow-up. T2DM was identified by self-reported diagnosis, fasting glucose ≥ 7·0 mmol/l or glycosylated Hb ≥ 6·5 %. Cox proportional hazard models were used to estimate hazard ratios (HR) and 95 % CI. We ascertained 205 incident T2DM cases during 13 476 person-years. The adjusted HR for T2DM risk in the fourth quartile of haem Fe intake was 1·92 (95 % CI 1·07, 3·46; Ptrend = 0·010), compared with the first quartile intake. These significant associations were found in haem Fe intake from total meat (HR 2·74; 95 % CI 1·22, 6·15; Ptrend = 0·011) and haem Fe intake from red meat (HR 1·86; 95 % CI 1·01, 3·44; Ptrend = 0·034), but not haem Fe intake from processed meat, poultry or fish/shellfish. The association between dietary intake of total Fe or non-haem Fe with T2DM risk had no significance. Our findings suggested that higher dietary intake of haem Fe (especially from red meat), but not total Fe or non-haem Fe, was associated with greater T2DM risk in middle-aged and older adults.
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Zhang R, Fu J, Moore JB, Stoner L, Li R. Processed and Unprocessed Red Meat Consumption and Risk for Type 2 Diabetes Mellitus: An Updated Meta-Analysis of Cohort Studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182010788. [PMID: 34682532 PMCID: PMC8536052 DOI: 10.3390/ijerph182010788] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 10/08/2021] [Accepted: 10/11/2021] [Indexed: 01/11/2023]
Abstract
Type II diabetes mellitus (T2DM) is a metabolic disorder that occurs in the body because of decreased insulin activity and/or insulin secretion. The incidence of T2DM has rapidly increased over recent decades. The relation between consumption of different types of red meats and risk of T2DM remains uncertain. This meta-analysis was conducted to quantitatively assess the associations of processed red meat (PRM) and unprocessed red meat (URM) consumption with T2DM. We searched PubMed, Embase, Web of Science and The Cochrane Library for English-language cohort studies published before January 2021. Summary relative risks (RR) with 95% confidence interval (CI) were estimated using fixed effects and random effects. Additionally, dose-response relationships were explored using meta-regression. Fifteen studies (n = 682,963 participants, cases = 50,675) were identified. Compared with the lowest intake group, high consumption of PRM and URM increased T2DM risk by 27% (95% CI 1.15-1.40) and 15% (95% CI 1.08-1.23), respectively. These relationships were consistently strongest for U.S-based studies, though the effects of sex are inconclusive. In conclusion, PRM and URM are both positively associated with T2DM incidence, and these relationships are strongest in the U.S. reduction of red meat consumption should be explored as a target for T2DM prevention initiatives.
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Affiliation(s)
- Rui Zhang
- College of Life Sciences, South-Central University for Nationalities, Wuhan 430074, China
| | - Jialin Fu
- Department of Healthcare Management, School of Health Sciences, Wuhan University, Wuhan 430071, China
| | - Justin B Moore
- Department of Implementation Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Epidemiology & Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Family & Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Lee Stoner
- Department of Exercise & Sport Science, University of North Carolina, Chapel Hill, NC 27101, USA
| | - Rui Li
- Department of Healthcare Management, School of Health Sciences, Wuhan University, Wuhan 430071, China
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Dietary iron to total energy intake ratio and type 2 diabetes incidence in a longitudinal 12-year analysis of the Korean Genome and Epidemiology Cohort Study. Eur J Nutr 2021; 60:4453-4461. [PMID: 34085096 DOI: 10.1007/s00394-021-02596-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 05/21/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE Recent study found iron consumption has been associated with an increased risk of type 2 diabetes (T2DM). Even though, high iron intake is correlated with total caloric intake, most studies have evaluated the individual effect of iron and total caloric intake. The aim of this study was to investigate the effect of iron intake, in conjunction with total energy intake, on developing T2DM. We also investigated the interactions between dietary iron and energy ratios (IERs) and iron-related single nucleotide polymorphisms (SNPs) in the development of T2DM. METHODS The study was carried out in Ansan and Ansung, Korea, between March 2001 and December 2014. A total of 6413 participants (3073 men and 3340 women), aged 40-69 years, were enrolled in this study. The mean follow-up period was 8.4 years. The study population was divided into quartiles based on IERs with cut-off points at 4.54, 5.41, and 6.29. The odds ratios (ORs) for new-onset T2DM were calculated across each quartile of IERs and a random forest model was constructed using the default settings to predict new-onset T2DM. To confirm the interaction among IERs, SNPs, and the incidence of T2DM, we measured the predictive power of new-onset T2DM using IER and six SNPs in genes related to iron metabolism [rs855791 (TPMRSS6), rs38116479 (TF), rs1799852 (TF), rs2280673, rs1799945 (HFT), rs180562 (HFE)]. RESULTS The prevalence of T2DM was 762 (11.8%). IERs showed a positive association with T2DM. The ORs were 1.30 (95% CI 1.02-1.67), 1.20 (95% CI 0.94-1.56), and 1.43 (95% CI 1.11-1.86) across the IER quartiles after adjusting for non-dietary and dietary metabolic risk factors. When the IER was 1.89-fold higher than the reference group, the risk of developing T2DM increased by 43% (OR 1.43; 95% CI 1.11-1.86). CONCLUSION A higher IER was positively associated with developing T2DM independent of dietary or non-dietary risk factors. We also found the possible interactions between the identified SNPs and iron intake in relations to T2DM.
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Wu F, Pahkala K, Juonala M, Rovio SP, Sabin MA, Rönnemaa T, Buscot MJ, Smith KJ, Männistö S, Jula A, Lehtimäki T, Hutri-Kähönen N, Kähönen M, Laitinen T, Viikari JSA, Raitakari OT, Magnussen CG. Dietary Pattern Trajectories from Youth to Adulthood and Adult Risk of Impaired Fasting Glucose: A 31-year Cohort Study. J Clin Endocrinol Metab 2021; 106:e2078-e2086. [PMID: 33507261 DOI: 10.1210/clinem/dgab044] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Indexed: 01/07/2023]
Abstract
CONTEXT The influence of dietary pattern trajectories from youth to adulthood on adult glucose metabolism is unknown. OBJECTIVE To identify dietary pattern trajectories from youth to adulthood and examine their associations with adult impaired fasting glucose (IFG). METHODS Thirty-one-year population-based cohort study among 1007 youths aged 3-18 years at baseline in Finland. Diet intake was assessed in 1980, 1986, 2001, 2007, and 2011. Group-based trajectory modelling was used to identify dietary pattern (identified by factor analysis) trajectories. Adult IFG was measured by the latest available data from 2001, 2007, and 2011. RESULTS Among 1007 participants, 202 (20.1%) developed IFG and 27 (2.7%) developed type 2 diabetes in adulthood (mean follow-up of 30.7 years; mean [SD] age 40.5 [5.0] years). Three dietary patterns were identified at baseline and were retained in 1986 and 2001: "Traditional Finnish," "High carbohydrate," and "Vegetables and dairy products." Three different patterns were identified in 2007, which remained similar in 2011: "Traditional Finnish and high carbohydrate," "Red meat," and "Healthy." Trajectories of increased or stably medium "red meat" pattern scores from youth to adulthood were detrimentally associated with IFG (relative risk 1.46, 95% CI 1.12-1.90 for Medium (M)-stable/M-large increase vs low-stable trajectory) after adjusting for confounders. This association was slightly reduced after further adjusting for long-term dietary fiber intake. CONCLUSION Trajectories of an increased or stably moderate adherence to a "red meat" dietary pattern from youth to adulthood are associated with higher risk of adult IFG. This association is partly explained by low dietary fiber intake.
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Affiliation(s)
- Feitong Wu
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Paavo Nurmi Centre, Sports & Exercise Medicine Unit, Department of Physical Activity and Health, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Suvi P Rovio
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Matthew A Sabin
- Murdoch Children's Research Institute, Royal Children's Hospital, and Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Tapani Rönnemaa
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Marie-Jeanne Buscot
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Kylie J Smith
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Satu Männistö
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Antti Jula
- National Institute for Health and Welfare, Turku, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center-Tampere, Tampere University, Tampere, Finland
| | - Nina Hutri-Kähönen
- Department of Pediatrics, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Tomi Laitinen
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - Jorma S A Viikari
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Costan G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
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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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Xu L, Cai J, Gao T, Ma A. Shellfish consumption and health: A comprehensive review of human studies and recommendations for enhanced public policy. Crit Rev Food Sci Nutr 2021; 62:4656-4668. [PMID: 33527847 DOI: 10.1080/10408398.2021.1878098] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Shellfish, including various species of mollusks (e.g., clams, oysters, and mussels) and crustaceans (e.g., shrimp and crab), have been a cornerstone of healthy dietary recommendations. However, beyond providing basic nutrition needs, their health-promoting effects have been suggested to include inflammation reduction and prevention of various chronic non-communicable diseases. Currently, studies on the association between shellfish consumption and health outcomes have reported conflicting results. The present comprehensive review summarized the latest studies on shellfish consumption and synthesized the available evidence on the potential health benefits or risks of shellfish consumption. The findings demonstrated that shellfish consumption may increase the risk of hyperuricemia and gout but may not increase the risk of type 2 diabetes, cardiovascular diseases, and thyroid cancer. Adequate evidence is lacking on the association between shellfish consumption and the risk of colorectal cancer, pancreatic cancer, oral cancer, endometriosis, hip fracture, cognitive function, wheeze, eczema and food allergy. Raw shellfish consumption may cause gastroenteritis and other diseases infected by bacteria or viruses. This review thus provides consumers and other relevant stakeholders with the latest evidence-based information on the potential benefits and risks of shellfish consumption.
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Affiliation(s)
- Lei Xu
- Institute of Nutrition and Health, School of Public Health, Qingdao University, Qngdao, China
| | - Jing Cai
- Institute of Nutrition and Health, School of Public Health, Qingdao University, Qngdao, China
| | - Tianlin Gao
- Institute of Nutrition and Health, School of Public Health, Qingdao University, Qngdao, China
| | - Aiguo Ma
- Institute of Nutrition and Health, School of Public Health, Qingdao University, Qngdao, China
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Wu C, Liu P, Yuan Z. Fruit and vegetable intake is inversely associated with type 2 diabetes in Chinese women: results from the China Health and Nutrition Survey. Int J Food Sci Nutr 2020; 72:208-218. [PMID: 32552185 DOI: 10.1080/09637486.2020.1780567] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
This study aimed to evaluate the associations between fruit and vegetable (FV) intake and the risk of prediabetes or type 2 diabetes (T2D). It is a cross-sectional study that involved 6802 participants aged 18-65 years. Dietary intake and other variables were assessed by questionnaires. The prevalence of prediabetes and T2D was ascertained by self-report and analyses of fasting blood samples. In the multiple logistic regression models, FV intake was negatively associated the risk of T2D in women (OR = 0.45, 95% CI: 0.28, 0.71), whereas no such association was observed in men (OR = 0.98, 95% CI: 0.65, 1.47). Furthermore, FV consumption was inversely associated with prediabetes risk in men and women. Results suggested that higher intake of FV was associated with a decreased risk of T2D or prediabetes in Chinese women and a reduced risk of prediabetes in men only.
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Affiliation(s)
- Caifeng Wu
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan, China
| | - Pingping Liu
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan, China
| | - Zhanpeng Yuan
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan, China.,Hubei Provincial Key Laboratory for Applied Toxicology, Wuhan, China
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Meat and fish intake and type 2 diabetes: Dose-response meta-analysis of prospective cohort studies. DIABETES & METABOLISM 2020; 46:345-352. [PMID: 32302686 DOI: 10.1016/j.diabet.2020.03.004] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 03/20/2020] [Accepted: 03/31/2020] [Indexed: 01/10/2023]
Abstract
AIMS This meta-analysis aimed to quantitatively examine the possible associations between total meat, red meat, processed meat, poultry and fish intakes and type 2 diabetes (T2D). METHODS Relevant articles were identified in PubMed, Embase and Web of Science databases using a search time up to January 2019. Generalized least-squares trend estimations and restricted cubic spline regression models were used for analysis. RESULTS Twenty-eight articles were included in the analysis. When comparing the highest with the lowest category of meat intake, the summary relative risk of T2D was 1.33 (95% CI: 1.16-1.52) for total meat, 1.22 (95% CI: 1.16-1.28) for red meat, 1.25 (95% CI: 1.13-1.37) for processed meat, 1.00 (95% CI: 0.93-1.07) for poultry and 1.01 (95% CI: 0.93-1.10) for fish. In the dose-response analysis, each additional 100g/day of total and red meat, and 50g/day of processed meat, were found to be associated with a 36% (95% CI: 1.23-1.49), 31% (95% CI: 1.19-1.45) and 46% (95% CI: 1.26-1.69) increased risk of T2D, respectively. In addition, there was evidence of a non-linear dose-response association between processed meat and T2D (P=0.004), with the risk increasing by 30% with increasing intakes up to 30g/day. CONCLUSION Our meta-analysis has shown a linear dose-response relationship between total meat, red meat and processed meat intakes and T2D risk. In addition, a non-linear relationship of intake of processed meat with risk of T2D was detected.
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Du H, Guo Y, Bennett DA, Bragg F, Bian Z, Chadni M, Yu C, Chen Y, Tan Y, Millwood IY, Gan W, Yang L, Yao P, Luo G, Li J, Qin Y, Lv J, Lin X, Key T, Chen J, Clarke R, Li L, Chen Z. Red meat, poultry and fish consumption and risk of diabetes: a 9 year prospective cohort study of the China Kadoorie Biobank. Diabetologia 2020; 63:767-779. [PMID: 31970429 PMCID: PMC7054352 DOI: 10.1007/s00125-020-05091-x] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 12/12/2019] [Indexed: 01/07/2023]
Abstract
AIMS/HYPOTHESIS Previous evidence linking red meat consumption with diabetes risk mainly came from western countries, with little evidence from China, where patterns of meat consumption are different. Moreover, global evidence remains inconclusive about the associations of poultry and fish consumption with diabetes. Therefore we investigated the associations of red meat, poultry and fish intake with incidence of diabetes in a Chinese population. METHODS The prospective China Kadoorie Biobank recruited ~512,000 adults (59% women, mean age 51 years) from ten rural and urban areas across China in 2004-2008. At the baseline survey, a validated interviewer-administered laptop-based questionnaire was used to collect information on the consumption frequency of major food groups including red meat, poultry, fish, fresh fruit and several others. During ~9 years of follow-up, 14,931 incidences of new-onset diabetes were recorded among 461,036 participants who had no prior diabetes, cardiovascular diseases or cancer at baseline. Cox regression analyses were performed to calculate adjusted HRs for incident diabetes associated with red meat, poultry and fish intake. RESULTS At baseline, 47.0%, 1.3% and 8.9% of participants reported a regular consumption (i.e. ≥4 days/week) of red meat, poultry and fish, respectively. After adjusting for adiposity and other potential confounders, each 50 g/day increase in red meat and fish intake was associated with 11% (HR 1.11 [95% CI 1.04, 1.20]) and 6% (HR 1.06 [95% CI 1.00, 1.13]) higher risk of incident diabetes, respectively. For both, the associations were more pronounced among men and women from urban areas, with an HR (95% CI) of 1.42 (1.15, 1.74) and 1.18 (1.03, 1.36), respectively, per 50 g/day red meat intake and 1.15 (1.02, 1.30) and 1.11 (1.01, 1.23), respectively, per 50 g/day fish intake. There was no significant association between diabetes and poultry intake, either overall (HR 0.96 [95% CI 0.83, 1.12] per 50 g/day intake) or in specific population subgroups. CONCLUSIONS/INTERPRETATION In Chinese adults, both red meat and fish, but not poultry, intake were positively associated with diabetes risk, particularly among urban participants. Our findings add new evidence linking red meat and fish intake with cardiometabolic diseases. DATA AVAILABILITY Details of how to access the China Kadoorie Biobank data and rules of China Kadoorie Biobank data release are available from www.ckbiobank.org/site/Data+Access.
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Affiliation(s)
- Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
| | - Yu Guo
- Chinese Academy of Medical Sciences, no. 9 Dong Dan San Tiao, Dong Cheng District, Beijing, 100730, China.
| | - Derrick A Bennett
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Fiona Bragg
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Zheng Bian
- Chinese Academy of Medical Sciences, no. 9 Dong Dan San Tiao, Dong Cheng District, Beijing, 100730, China
| | - Mahmuda Chadni
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, Peking University Health Science Center, Peking University, Beijing, China
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Yunlong Tan
- Chinese Academy of Medical Sciences, no. 9 Dong Dan San Tiao, Dong Cheng District, Beijing, 100730, China
| | - Iona Y Millwood
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Wei Gan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Pang Yao
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Guojin Luo
- Pengzhou CDC, Chengdu, Sichuan Province, China
| | - Jianguo Li
- Pengzhou CDC, Chengdu, Sichuan Province, China
| | - Yulu Qin
- NCDs Prevention and Control Department, Liuzhou CDC, Guangxi Autonomous Zone, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, Peking University Health Science Center, Peking University, Beijing, China
| | - Xu Lin
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Tim Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, Peking University Health Science Center, Peking University, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
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He J, Fang A, Yu S, Shen X, Li K. Dietary Nonheme, Heme, and Total Iron Intake and the Risk of Diabetes in Adults: Results From the China Health and Nutrition Survey. Diabetes Care 2020; 43:776-784. [PMID: 32033991 PMCID: PMC7646206 DOI: 10.2337/dc19-2202] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Accepted: 01/20/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Excessive iron intake has been linked to diabetes risk. However, the evidence is inconsistent. This study examined the association between dietary heme and nonheme iron intake and diabetes risk in the Chinese population. RESEARCH DESIGN AND METHODS We included 17,026 adults (8,346 men and 8,680 women) who were part of the China Health and Nutrition Survey (1991-2015) prospective cohort. Dietary intake was measured by three consecutive 24-h dietary recalls combined with a household food inventory. Diabetes cases were identified through a questionnaire. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs. RESULTS A total of 547 men and 577 women developed diabetes during 202,138 person-years of follow-up. For men, the adjusted HRs (95% CIs) for quintiles of nonheme iron intake were 1.00, 0.77 (0.58-1.02), 0.72 (0.54-0.97), 0.63 (0.46-0.85), and 0.87 (0.64-1.19) (P-nonlinearity = 0.0015). The corresponding HRs (95% CIs) for women were 1.00, 0.63 (0.48-0.84), 0.57 (0.43-0.76), 0.58 (0.43-0.77), and 0.67 (0.49-0.91) (P-nonlinearity < 0.0001). The dose-response curves for the association between nonheme iron and total iron intake and diabetes followed a reverse J shape in men and an L shape in women. No significant associations were observed between heme iron intake and diabetes risk. CONCLUSIONS Total iron and nonheme iron intake was associated with diabetes risk, following a reverse J-shaped curve in men and an L-shaped curve in women. Sufficient intake of nonheme or total iron might be protective against diabetes, while excessive iron intake might increase the risk of diabetes among men.
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Affiliation(s)
- Jingjing He
- School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China
| | - Aiping Fang
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Siwang Yu
- School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China
| | - Xin Shen
- Peking University Cancer Hospital, Beijing, China
| | - Keji Li
- School of Public Health, Peking University Health Science Center, Beijing, China
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Fan M, Li Y, Wang C, Mao Z, Zhou W, Zhang L, Yang X, Cui S, Li L. Dietary Protein Consumption and the Risk of Type 2 Diabetes: ADose-Response Meta-Analysis of Prospective Studies. Nutrients 2019; 11:nu11112783. [PMID: 31731672 PMCID: PMC6893550 DOI: 10.3390/nu11112783] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 11/08/2019] [Accepted: 11/12/2019] [Indexed: 12/11/2022] Open
Abstract
The relationship between dietary protein consumption and the risk of type 2 diabetes (T2D) has been inconsistent. The aim of this meta-analysis was to explore the relations between dietary protein consumption and the risk of T2D. We conducted systematic retrieval of prospective studies in PubMed, Embase, and Web of Science. Summary relative risks were compiled with a fixed effects model or a random effects model, and a restricted cubic spline regression model and generalized least squares analysis were used to evaluate the diet–T2D incidence relationship. T2D risk increased with increasing consumption of total protein and animal protein, red meat, processed meat, milk, and eggs, respectively, while plant protein and yogurt had an inverse relationship. A non-linear association with the risk for T2D was found for the consumption of plant protein, processed meat, milk, yogurt, and soy. This meta-analysis suggests that substitution of plant protein and yogurt for animal protein, especially red meat and processed meat, can reduce the risk for T2D.
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Affiliation(s)
- Mengying Fan
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China; (M.F.); (C.W.); (Z.M.); (W.Z.); (L.Z.); (X.Y.); (S.C.)
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou 450000, China;
| | - Chongjian Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China; (M.F.); (C.W.); (Z.M.); (W.Z.); (L.Z.); (X.Y.); (S.C.)
| | - Zhenxing Mao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China; (M.F.); (C.W.); (Z.M.); (W.Z.); (L.Z.); (X.Y.); (S.C.)
| | - Wen Zhou
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China; (M.F.); (C.W.); (Z.M.); (W.Z.); (L.Z.); (X.Y.); (S.C.)
| | - Lulu Zhang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China; (M.F.); (C.W.); (Z.M.); (W.Z.); (L.Z.); (X.Y.); (S.C.)
| | - Xiu Yang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China; (M.F.); (C.W.); (Z.M.); (W.Z.); (L.Z.); (X.Y.); (S.C.)
| | - Songyang Cui
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China; (M.F.); (C.W.); (Z.M.); (W.Z.); (L.Z.); (X.Y.); (S.C.)
| | - Linlin Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China; (M.F.); (C.W.); (Z.M.); (W.Z.); (L.Z.); (X.Y.); (S.C.)
- Correspondence: ; Tel.: +86-0371-67781247; Fax: +86-0371-67781868
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Seah JYH, Ong CN, Koh WP, Yuan JM, van Dam RM. A Dietary Pattern Derived from Reduced Rank Regression and Fatty Acid Biomarkers Is Associated with Lower Risk of Type 2 Diabetes and Coronary Artery Disease in Chinese Adults. J Nutr 2019; 149:2001-2010. [PMID: 31386157 PMCID: PMC6825830 DOI: 10.1093/jn/nxz164] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 06/10/2019] [Accepted: 06/18/2019] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Combinations of circulating fatty acids may affect the risk of type 2 diabetes (T2D) and coronary artery disease (CAD). No previous studies have identified a dietary pattern predicting fatty acid profiles using reduced rank regression (RRR) and evaluated its associations with the risk of T2D and CAD. OBJECTIVE The aim of this study was to derive a dietary pattern to explain variation in plasma fatty acid concentrations using RRR and evaluate these in relation to risk of T2D and CAD. METHODS We derived a dietary pattern using fatty acid concentrations from 711 controls of a nested case-control study in the Singapore Chinese Health Study using RRR with 36 food and beverages as predictors and 19 fatty acid biomarkers as responses. Dietary pattern scores were then calculated for the full cohort of men and women (mean age: 56 y). We followed up 45,411 and 58,065 participants for incident T2D and CAD mortality, respectively. Multivariable Cox regression models were used to estimate HRs and 95% CIs. RESULTS We identified a dietary pattern high in soy, vegetables, fruits, tea, tomato products, bread, fish, margarine and dairy, and low in rice, red meat, coffee, alcohol, sugar-sweetened beverages, and eggs. This pattern predicted higher circulating n-3 (ω-3) PUFAs (18:3n-3, 20:3n-3, 20:5n-3), odd-chain fatty acids (15:0, 17:0), 18:2n-6 and 20:1, and lower 20:4n-6 and 16:1. During a mean follow-up of 11 y and 19 y, 5207 T2D and 3016 CAD mortality events, respectively, were identified. Higher dietary pattern scores were associated with a lower risk of T2D [multivariable-adjusted HR comparing extreme quintiles, 0.86 (95% CI: 0.79, 0.95); P-trend <0.001] and CAD mortality [HR, 0.76 (95% CI: 0.68, 0.86); P-trend <0.001]. CONCLUSIONS Dietary patterns reflecting higher circulating n-3 PUFAs, odd-chain fatty acids, and linoleic acid may be associated with lower T2D and CAD risk in Chinese adults. This trial was registered at www.clinicaltrials.gov as NCT03356340.
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Affiliation(s)
- Jowy Y H Seah
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
- NUS Graduate School for Integrative Sciences and Engineering, NUS, Singapore
| | - Choon Nam Ong
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
- NUS Environmental Research Institute, National University of Singapore, Singapore
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
- NUS Graduate School for Integrative Sciences and Engineering, NUS, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, NUS and National University Health System, Singapore
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
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Maguire M, Maguire G. Gut dysbiosis, leaky gut, and intestinal epithelial proliferation in neurological disorders: towards the development of a new therapeutic using amino acids, prebiotics, probiotics, and postbiotics. Rev Neurosci 2019; 30:179-201. [PMID: 30173208 DOI: 10.1515/revneuro-2018-0024] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Accepted: 06/21/2018] [Indexed: 12/12/2022]
Abstract
Here we offer a review of the evidence for a hypothesis that a combination of ingestible probiotics, prebiotics, postbiotics, and amino acids will help ameliorate dysbiosis and degeneration of the gut, and therefore promote restoration of nervous system function in a number of neurological indications.
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Affiliation(s)
- Mia Maguire
- BioRegenerative Sciences, Inc., 505 Coast Blvd South, #208, La Jolla, CA 92037, USA
| | - Greg Maguire
- BioRegenerative Sciences, Inc., 11588 Sorrento Valley Rd. #18, San Diego, CA 92121, USA
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Neuenschwander M, Ballon A, Weber KS, Norat T, Aune D, Schwingshackl L, Schlesinger S. Role of diet in type 2 diabetes incidence: umbrella review of meta-analyses of prospective observational studies. BMJ 2019; 366:l2368. [PMID: 31270064 PMCID: PMC6607211 DOI: 10.1136/bmj.l2368] [Citation(s) in RCA: 267] [Impact Index Per Article: 53.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To summarise the evidence of associations between dietary factors and incidence of type 2 diabetes and to evaluate the strength and validity of these associations. DESIGN Umbrella review of systematic reviews with meta-analyses of prospective observational studies. DATA SOURCES PubMed, Web of Science, and Embase, searched up to August 2018. ELIGIBILITY CRITERIA Systematic reviews with meta-analyses reporting summary risk estimates for the associations between incidence of type 2 diabetes and dietary behaviours or diet quality indices, food groups, foods, beverages, alcoholic beverages, macronutrients, and micronutrients. RESULTS 53 publications were included, with 153 adjusted summary hazard ratios on dietary behaviours or diet quality indices (n=12), food groups and foods (n=56), beverages (n=10), alcoholic beverages (n=12), macronutrients (n=32), and micronutrients (n=31), regarding incidence of type 2 diabetes. Methodological quality was high for 75% (n=115) of meta-analyses, moderate for 23% (n=35), and low for 2% (n=3). Quality of evidence was rated high for an inverse association for type 2 diabetes incidence with increased intake of whole grains (for an increment of 30 g/day, adjusted summary hazard ratio 0.87 (95% confidence interval 0.82 to 0.93)) and cereal fibre (for an increment of 10 g/day, 0.75 (0.65 to 0.86)), as well as for moderate intake of total alcohol (for an intake of 12-24 g/day v no consumption, 0.75 (0.67 to 0.83)). Quality of evidence was also high for the association for increased incidence of type 2 diabetes with higher intake of red meat (for an increment of 100 g/day, 1.17 (1.08 to 1.26)), processed meat (for an increment of 50 g/day, 1.37 (1.22 to 1.54)), bacon (per two slices/day, 2.07 (1.40 to 3.05)), and sugar sweetened beverages (for an increase of one serving/day, 1.26 (1.11 to 1.43)). CONCLUSIONS Overall, the association between dietary factors and type 2 diabetes has been extensively studied, but few of the associations were graded as high quality of evidence. Further factors are likely to be important in type 2 diabetes prevention; thus, more well conducted research, with more detailed assessment of diet, is needed. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42018088106.
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Affiliation(s)
- Manuela Neuenschwander
- Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, D-40225 Düsseldorf, Germany
| | - Aurélie Ballon
- Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, D-40225 Düsseldorf, Germany
| | - Katharina S Weber
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Centre for Diabetes Research, München-Neuherberg, Germany
| | - Teresa Norat
- Department of Nutrition, Bjørknes University College, Oslo, Norway
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Lukas Schwingshackl
- Institute for Evidence in Medicine, Faculty of Medicine and Medical Centre-University of Freiburg, Freiburg, Germany
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, D-40225 Düsseldorf, Germany
- German Centre for Diabetes Research, München-Neuherberg, Germany
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40
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Meat consumption in midlife and risk of cognitive impairment in old age: the Singapore Chinese Health Study. Eur J Nutr 2019; 59:1729-1738. [DOI: 10.1007/s00394-019-02031-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 06/15/2019] [Indexed: 12/23/2022]
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41
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Alshahrani SM, Fraser GE, Sabaté J, Knutsen R, Shavlik D, Mashchak A, Lloren JI, Orlich MJ. Red and Processed Meat and Mortality in a Low Meat Intake Population. Nutrients 2019; 11:nu11030622. [PMID: 30875776 PMCID: PMC6470727 DOI: 10.3390/nu11030622] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 03/06/2019] [Accepted: 03/08/2019] [Indexed: 12/17/2022] Open
Abstract
Associations of low-to-moderate consumption of red and processed meat with mortality would add to the evidence of possible adverse effects of these common foods. This study aims to investigate the association of red and processed meat intake with mortality. The Adventist Health Study-2 (AHS-2) is a prospective cohort study of ~96,000 Seventh-day Adventist men and women recruited in the US and Canada between 2002 and 2007. The final analytic sample after exclusions was 72,149. Cox proportional hazards regression was used and hazard ratios (HR) and confidence intervals (CI) were obtained. Diet was assessed by a validated quantitative food frequency questionnaire (FFQ), calibrated using six 24-h dietary recalls. Mortality outcome data were obtained from the National Death Index. During a mean follow-up of 11.8 years, there were 7961 total deaths, of which 2598 were Cardiovascular diseases (CVD) deaths and 1873 were cancer deaths. Unprocessed red meat was associated with risk of all-cause mortality (HR: 1.18; 95% CI: 1.07–1.31) and CVD mortality (HR: 1.26; 95% CI: 1.05–1.50). Processed meat alone was not significantly associated with risk of mortality. The combined intake of red and processed meat was associated with all-cause mortality (HR: 1.23; 95% CI: 1.11–1.36) and CVD mortality (HR: 1.34; 95% CI: 1.12–1.60). These findings suggest moderately higher risks of all-cause and CVD mortality associated with red and processed meat in a low meat intake population.
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Affiliation(s)
- Saeed Mastour Alshahrani
- School of Public Health, Loma Linda University, Loma Linda, CA 92354, USA.
- College of Applied Medical Sciences, King Khalid University, Abha 61421, Saudi Arabia.
| | - Gary E Fraser
- School of Public Health, Loma Linda University, Loma Linda, CA 92354, USA.
- School of Medicine, Loma Linda University, Loma Linda, CA 92354, USA.
| | - Joan Sabaté
- School of Public Health, Loma Linda University, Loma Linda, CA 92354, USA.
- School of Medicine, Loma Linda University, Loma Linda, CA 92354, USA.
| | - Raymond Knutsen
- School of Public Health, Loma Linda University, Loma Linda, CA 92354, USA.
| | - David Shavlik
- School of Public Health, Loma Linda University, Loma Linda, CA 92354, USA.
| | - Andrew Mashchak
- School of Public Health, Loma Linda University, Loma Linda, CA 92354, USA.
| | - Jan Irene Lloren
- School of Public Health, Loma Linda University, Loma Linda, CA 92354, USA.
| | - Michael J Orlich
- School of Public Health, Loma Linda University, Loma Linda, CA 92354, USA.
- School of Medicine, Loma Linda University, Loma Linda, CA 92354, USA.
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Independent and combined effects of dietary iron composition and selected risk factors on the risk of NAFLD in a Chinese population. Sci Rep 2019; 9:4069. [PMID: 30858480 PMCID: PMC6411980 DOI: 10.1038/s41598-019-40449-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 02/12/2019] [Indexed: 12/12/2022] Open
Abstract
Iron is an essential mineral required for most forms of life. However, very little is known in relation to the different forms of dietary iron on the development of NAFLD. The aims of this study were to investigate the effects of iron intake from different food types on risk of NAFLD and whether this effect may be modified by other factors. We conducted a hospital-based case–control study including 1,273 NAFLD cases and 1,273 gender and age-matched controls. We conducted in-person interviews while participants completed a questionnaire on food habits. We assessed animal- and plant-derived intake of iron and fat. We observed that animal-derived iron intake (>4.16 mg/day) was positively associated with augmented NAFLD risk in a Chinese population (ORadjusted = 1.66 in the highest quartile compared with the lowest, 95% confidence interval [CI] = 1.01–2.73). In contrast, a high consumption of iron (>16.87 mg/day) from plant-based foods was associated with a decreased NAFLD risk (ORadjusted = 0.61 in the highest quartile compared with the lowest; 95% CI = 0.40–0.935). In addition, high intake of fat or being overweight may exacerbate this effect. Reduced consumption of iron and fat from animal sources could reduce NAFLD risk, as would weight loss.
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Willett W, Rockström J, Loken B, Springmann M, Lang T, Vermeulen S, Garnett T, Tilman D, DeClerck F, Wood A, Jonell M, Clark M, Gordon LJ, Fanzo J, Hawkes C, Zurayk R, Rivera JA, De Vries W, Majele Sibanda L, Afshin A, Chaudhary A, Herrero M, Agustina R, Branca F, Lartey A, Fan S, Crona B, Fox E, Bignet V, Troell M, Lindahl T, Singh S, Cornell SE, Srinath Reddy K, Narain S, Nishtar S, Murray CJL. Food in the Anthropocene: the EAT-Lancet Commission on healthy diets from sustainable food systems. Lancet 2019; 393:447-492. [PMID: 30660336 DOI: 10.1016/s0140-6736(18)31788-4] [Citation(s) in RCA: 3395] [Impact Index Per Article: 679.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 07/02/2018] [Accepted: 07/27/2018] [Indexed: 02/06/2023]
Affiliation(s)
- Walter Willett
- Harvard T H Chan School of Public Health, Harvard Medical School, Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Johan Rockström
- Potsdam Institute for Climate Impact Research, Potsdam, Germany; Stockholm Resilience Centre, Stockholm, Sweden
| | - Brent Loken
- Stockholm Resilience Centre, Stockholm, Sweden; EAT, Oslo, Norway.
| | - Marco Springmann
- Oxford Martin Programme on the Future of Food and Centre on Population Approaches for Non-Communicable Disease Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Tim Lang
- Centre for Food Policy, City, University of London, London, UK
| | - Sonja Vermeulen
- World Wide Fund for Nature International, Gland, Switzerland; Hoffmann Centre for Sustainable Resource Economy, Chatham House, London, UK
| | - Tara Garnett
- Food Climate Research Network, Environmental Change Institute and Oxford Martin School, University of Oxford, Oxford, UK
| | - David Tilman
- Department of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN, USA; Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, USA
| | - Fabrice DeClerck
- Stockholm Resilience Centre, Stockholm, Sweden; EAT, Oslo, Norway; Bioversity International, CGIAR, Montpellier, France
| | - Amanda Wood
- Stockholm Resilience Centre, Stockholm, Sweden; EAT, Oslo, Norway
| | | | - Michael Clark
- Natural Resources Science and Management, University of Minnesota, St Paul, MN, USA
| | | | - Jessica Fanzo
- Nitze School of Advanced International Studies, Berman Institute of Bioethics and Bloomberg School of Public Health, Johns Hopkins University, MD, USA
| | - Corinna Hawkes
- Centre for Food Policy, City, University of London, London, UK
| | - Rami Zurayk
- Department of Landscape Design and Ecosystem Management, Faculty of Agricultural and Food Sciences, American University of Beirut, Beirut, Lebanon
| | - Juan A Rivera
- Instituto Nacional de Salud Pública, Cuernavaca, México
| | - Wim De Vries
- Wageningen University and Research, Environmental Systems Analysis Group, Wageningen, Netherlands
| | | | - Ashkan Afshin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Abhishek Chaudhary
- Institute of Food, Nutrition and Health, ETH Zurich, Switzerland; Department of Civil Engineering, Indian Institute of Technology, Kanpur, India
| | - Mario Herrero
- Commonwealth Scientific and Industrial Research Organisation, Brisbane, QLD, Australia
| | - Rina Agustina
- Department of Nutrition, Faculty of Medicine, Universitas Indonesia Dr Cipto Mangunkusumo General Hospital, Jakarta, Indonesia; Human Nutrition Research Center, Indonesian Medical Education and Research Institute, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Francesco Branca
- Department of Nutrition for Health and Development, World Health Organization, Geneva, Switzerland
| | - Anna Lartey
- Nutrition and Food Systems Division, Economic and Social Development Department, Food and Agriculture Organization of the UN, Rome, Italy
| | - Shenggen Fan
- International Food Policy Research Institute, Washington DC, USA
| | | | - Elizabeth Fox
- Berman Institute of Bioethics, Johns Hopkins University, MD, USA
| | | | - Max Troell
- Stockholm Resilience Centre, Stockholm, Sweden; The Beijer Institute of Ecological Economics, at the Royal Swedish Academy of Sciences, Stockholm, Sweden
| | - Therese Lindahl
- Stockholm Resilience Centre, Stockholm, Sweden; The Beijer Institute of Ecological Economics, at the Royal Swedish Academy of Sciences, Stockholm, Sweden
| | - Sudhvir Singh
- EAT, Oslo, Norway; University of Auckland, Auckland, New Zealand
| | | | | | - Sunita Narain
- Centre for Science and Environment, New Delhi, India
| | - Sania Nishtar
- Heartfile, Islamabad, Pakistan; WHO High Level Commission on NCDs, Geneva Switzerland; Chairperson Benazir Income Support Program, Islamabad, Pakistan
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Rousseau M, Guénard F, Garneau V, Allam-Ndoul B, Lemieux S, Pérusse L, Vohl MC. Associations Between Dietary Protein Sources, Plasma BCAA and Short-Chain Acylcarnitine Levels in Adults. Nutrients 2019; 11:nu11010173. [PMID: 30650556 PMCID: PMC6356602 DOI: 10.3390/nu11010173] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 01/11/2019] [Accepted: 01/11/2019] [Indexed: 01/11/2023] Open
Abstract
Elevated plasma branched-chain amino acids (BCAA) and C3 and C5 acylcarnitines (AC) levels observed in individuals with insulin resistance (IR) might be influenced by dietary protein intakes. This study explores the associations between dietary protein sources, plasma BCAA levels and C3 and C5 ACs in normal weight (NW) or overweight (OW) individuals with or without metabolic syndrome (MS). Data from 199 men and women aged 18⁻55 years with complete metabolite profile were analyzed. Associations between metabolic parameters, protein sources, plasma BCAA and AC levels were tested. OW/MS+ consumed significantly more animal protein (p = 0.0388) and had higher plasma BCAA levels (p < 0.0001) than OW/MS- or NW/MS- individuals. Plasma BCAA levels were not associated with BCAA intakes in the whole cohort, while there was a trend for an association between plasma BCAA levels and red meat or with animal protein in OW/MS+. These associations were of weak magnitude. In NW/MS- individuals, the protein sources associated with BCAA levels varied greatly with adjustment for confounders. Plasma C3 and C5 ACs were associated with plasma BCAA levels in the whole cohort (p < 0.0001) and in subgroups based on OW and MS status. These results suggest a modest association of meat or animal protein intakes and an association of C3 and C5 ACs with plasma BCAA levels, obesity and MS.
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Affiliation(s)
- Michèle Rousseau
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Frédéric Guénard
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Véronique Garneau
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Bénédicte Allam-Ndoul
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Simone Lemieux
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Louis Pérusse
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- Department of Kinesiology, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Marie-Claude Vohl
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
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Bogueva D, Marinova D. Reconciling Not Eating Meat and Masculinity in the Marketing Discourse for New Food Alternatives. ENVIRONMENTAL, HEALTH, AND BUSINESS OPPORTUNITIES IN THE NEW MEAT ALTERNATIVES MARKET 2019. [DOI: 10.4018/978-1-5225-7350-0.ch014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Traditional hegemonic masculinity can be traced on the typical man's plate where meat represents the centerpiece. Meat consumption dominates the current marketing discourse which builds on masculinity to reinforce the stereotyped gender-based diets. In light of scientific evidence about the detrimental impacts of meat consumption on human wellbeing and environmental health, this chapter argues that men are at the crossroads where the concept of masculinity is being redefined. Their social role is similarly changing with new expectations for more sustainable diets which call for plant-based food choices and possibly lab-grown meat. Some men are endorsing these imperatives while others continue to succumb to social inertia. A new marketing discourse is needed which reconciles masculinity with not eating meat and encourages a transition to alternative dietary choices that are better for personal health, allow improved use of the planet's resources, and have less impact on climate change.
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Wu C, Han X, Yan X, Keel S, Shang X, Zhang L, He M. Impact of Diet on the Incidence of Cataract Surgery among Diabetic Patients: Findings from the 45 and Up Study. Curr Eye Res 2018; 44:385-392. [PMID: 30433817 DOI: 10.1080/02713683.2018.1548024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To examine the impact of diet on the incidence of cataract surgery among the working-aged diabetic population in Australia. METHODS This cohort study was conducted among 8,752 participants with diabetes aged 45-65 years who were recruited to the 45 and Up Study from 2006 to 2016. The data was linked to the Medicare Benefits Schedule to obtain data on cataract surgery. Diabetes was defined as self-reported on questionnaire or diabetes medication history based on Pharmaceutical Benefits Scheme. Diet was assessed at baseline, using a self-administered questionnaire and healthy diet scores were calculated based on Australian Dietary Guidelines. Cox regression was used to evaluate the association between diet and the incidence of cataract surgery during the follow-up. RESULTS During a mean follow-up of 8.4 years (73,431 person-years), 914 diabetic participants underwent cataract surgery with a corresponding rate of 12.4 cases per 1,000 person-years. After adjusting for age and gender, the hazard ratios (HR) of cataract surgery for the highest compared to the lowest intake quintile of red meat and poultry were 1.24 (95% CI, 1.00-1.55) and 1.24 (95% CI, 1.02-1.51), respectively. Further adjustment for demographic, lifestyle and dietary factors resulted in no significant difference between cataract surgery risk and healthy diet scores or specific diet groups. In gender-stratified analyses, increasing consumption of red meat (HR for highest versus lowest quintile, 1.39; 95% CI, 1.00-1.93; P for trend = 0.01) and poultry (HR for highest versus lowest quintile, 1.40; 95% CI, 1.05-1.87; P for trend = 0.01) were associated with a higher risk of cataract surgery in women after adjustment of age, gender, income, education level, body mass index, hypertension, cardiovascular disease, family history of diabetes, diabetes duration, insulin use, lifestyle, and other dietary factors. CONCLUSION Higher consumption of red meat and poultry is related to an elevated risk of cataract surgery in the working-aged female population with diabetes.
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Affiliation(s)
- Changfan Wu
- a Department of Ophthalmology , Yijishan Hospital of Wannan Medical College , Wuhu , China.,b Centre for Eye Research Australia; Ophthalmology, Department of Surgery , University of Melbourne; Royal Victorian Eye and Ear Hospital , Melbourne , Australia
| | - Xiaotong Han
- b Centre for Eye Research Australia; Ophthalmology, Department of Surgery , University of Melbourne; Royal Victorian Eye and Ear Hospital , Melbourne , Australia.,c State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center , Sun Yat-sen University , Guangzhou , China
| | - Xixi Yan
- b Centre for Eye Research Australia; Ophthalmology, Department of Surgery , University of Melbourne; Royal Victorian Eye and Ear Hospital , Melbourne , Australia.,d Eye Center , Renmin Hospital of Wuhan University, Eye Institute of Wuhan University , Wuhan , China
| | - Stuart Keel
- b Centre for Eye Research Australia; Ophthalmology, Department of Surgery , University of Melbourne; Royal Victorian Eye and Ear Hospital , Melbourne , Australia
| | - Xianwen Shang
- b Centre for Eye Research Australia; Ophthalmology, Department of Surgery , University of Melbourne; Royal Victorian Eye and Ear Hospital , Melbourne , Australia
| | - Lei Zhang
- b Centre for Eye Research Australia; Ophthalmology, Department of Surgery , University of Melbourne; Royal Victorian Eye and Ear Hospital , Melbourne , Australia.,e Melbourne Sexual Health Centre , Alfred Health , Melbourne , Australia.,f Central Clinical School, Faculty of Medicine , Monash University , Melbourne , Australia.,g Department of epidemiology, School of Public Health , Xi'an Jiaotong University , Xi'an , China
| | - Mingguang He
- b Centre for Eye Research Australia; Ophthalmology, Department of Surgery , University of Melbourne; Royal Victorian Eye and Ear Hospital , Melbourne , Australia.,c State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center , Sun Yat-sen University , Guangzhou , China
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Seah JYH, Koh WP, Yuan JM, van Dam RM. Rice intake and risk of type 2 diabetes: the Singapore Chinese Health Study. Eur J Nutr 2018; 58:3349-3360. [DOI: 10.1007/s00394-018-1879-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Accepted: 12/06/2018] [Indexed: 12/31/2022]
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Abstract
PURPOSE OF REVIEW To examine the role of red meat consumption, especially heme iron intake, and risk for diabetes and its comorbidities. RECENT FINDINGS Studies consistently show that consumption of red meat has been contributory to a multitude of chronic conditions such as diabetes, CVD, and malignancies. There are various emerging reasons that strengthen this link-from the basic constituents of red meat like the heme iron component, the metabolic reactions that take place after consumption, and finally to the methods used to cook it. The causative links show that even occasional use raises the risk of T2DM. Prior studies show how nitrites and nitrates in red meat can lead to increased insulin resistance, dysregulated blood glucose levels, and elevated oxidative stress all leading to chronic diseases. With the rise in these preventable chronic diseases, we examine how disease-causing links can be eliminated with appropriate lifestyle choices.
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Affiliation(s)
- Ranjita Misra
- School of Public Health, 3313A, Robert C Byrd Health Sciences Center, Department of Social & Behavioral Sciences, West Virginia University, Morgantown, WV, 26506-9190, USA.
| | | | - Sudha Raj
- Department of Public Health, Food Studies and Nutrition, Falk College, Syracuse, NY, 13244, USA
| | - Thakor G Patel
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
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Yip SY, Namah D, Cook R, Isles C. It Must be True … I Read it in the Tabloids. J R Coll Physicians Edinb 2018. [DOI: 10.4997/jrcpe.2018.312] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Background Previous attempts to improve the quality of health journalism have not led to more responsible reporting of health news. Method We reviewed the front pages of three daily tabloid and three daily broadsheet UK newspapers during a 1 month period in 2017 for medical headlines in which claims were made for diets, lifestyle behaviours or drug therapies that influence health. Results Front page medical headlines were carried by the Daily Express (11), Daily Mail (two), Daily Mirror (one) and Daily Telegraph (one). Neither the Guardian nor the Independent carried medical stories on their front pages during the period of study. Eleven headlines suggested benefits and three suggested harm. One headline accurately reflected its source material, but in this instance the source material was of doubtful clinical relevance. The remaining 13 headlines either exaggerated benefit (seven), exaggerated harm (two) or made false claims (four). Conclusions The cumulative effect of everyday misreporting of medical stories in UK newspapers may not only serve to confuse the public but also have serious consequences for public health.
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Affiliation(s)
- SY Yip
- Medical Student, Medical Unit Dumfries and Galloway Royal Infirmary, Dumfries, UK
| | - D Namah
- Medical Student, Medical Unit Dumfries and Galloway Royal Infirmary, Dumfries, UK
| | - R Cook
- Clinical Director, Bazian, Economist Intelligence Unit Healthcare, London, UK
| | - C Isles
- Consultant Physician, Medical Unit Dumfries and Galloway Royal Infirmary, Dumfries, UK
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Liu G, Zong G, Wu K, Hu Y, Li Y, Willett WC, Eisenberg DM, Hu FB, Sun Q. Meat Cooking Methods and Risk of Type 2 Diabetes: Results From Three Prospective Cohort Studies. Diabetes Care 2018; 41:1049-1060. [PMID: 29530926 PMCID: PMC5911789 DOI: 10.2337/dc17-1992] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 02/15/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To examine open-flame and/or high-temperature cooking (grilling/barbecuing, broiling, or roasting) and doneness preferences (rare, medium, or well done) for red meat, chicken, and fish in relation to type 2 diabetes (T2D) risk among U.S. adults who consumed animal flesh regularly (≥2 servings/week). RESEARCH DESIGN AND METHODS The prospective studies included 52,752 women from the Nurses' Health Study (NHS) (followed during 1996-2012), 60,809 women from NHS II (followed during 2001-2013), and 24,679 men from the Health Professionals Follow-Up Study (HPFS) (followed during 1996-2012) who were free of diabetes, cardiovascular disease, and cancer at baseline. Incident cases of T2D were confirmed by validated supplementary questionnaires. RESULTS We documented 7,895 incident cases of T2D during 1.74 million person-years of follow-up. After multivariate adjustments including baseline BMI and total consumption of red meat, chicken, and fish, higher frequency of open-flame and/or high-temperature cooking was independently associated with an elevated T2D risk. When comparing open-flame and/or high-temperature cooking >15 times/month with <4 times/month, the pooled hazard ratio (HR) (95% CI) of T2D was 1.28 (1.18, 1.39; Ptrend <0.001). When comparing the extreme quartiles of doneness-weighted frequency of high-temperature cooking, the pooled HR (95% CI) of T2D was 1.20 (1.12, 1.28; Ptrend <0.001). These associations remained significant when red meat and chicken were examined separately. In addition, estimated intake of heterocyclic aromatic amines was also associated with an increased T2D risk. CONCLUSIONS Independent of consumption amount, open-flame and/or high-temperature cooking for both red meat and chicken is associated with an increased T2D risk among adults who consume animal flesh regularly.
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Affiliation(s)
- Gang Liu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Geng Zong
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Yang Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Yanping Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - David M Eisenberg
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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