scholarly journals High processed meat consumption is a risk factor of type 2 diabetes in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention study

2010 ◽  
Vol 103 (12) ◽  
pp. 1817-1822 ◽  
Author(s):  
Satu Männistö ◽  
Jukka Kontto ◽  
Merja Kataja-Tuomola ◽  
Demetrius Albanes ◽  
Jarmo Virtamo

Relatively small lifestyle modifications related to weight reduction, physical activity and diet have been shown to decrease the risk of type 2 diabetes. Connected with diet, low consumption of meat has been suggested as a protective factor of diabetes. The aim of the present study was to examine the association between the consumption of total meat or the specific types of meats and the risk of type 2 diabetes. The Alpha-Tocopherol, Beta-Carotene Cancer Prevention cohort included middle-aged male smokers. Up to 12 years of follow-up, 1098 incident cases of diabetes were diagnosed from 24 845 participants through the nationwide register. Food consumption was assessed by a validated FFQ. In the age- and intervention group-adjusted model, high total meat consumption was a risk factor of type 2 diabetes (relative risk (RR) 1·50, 95 % CI 1·23, 1·82, highestv.lowest quintile). The result was similar after adjustment for environmental factors and foods related to diabetes and meat consumption. The RR of type 2 diabetes was 1·37 for processed meat (95 % CI 1·11, 1·71) in the multivariate model. The results were explained more by intakes of Na than by intakes of SFA, protein, cholesterol, haeme Fe, Mg and nitrate, and were not modified by obesity. No association was found between red meat, poultry and the risk of type 2 diabetes. In conclusion, reduction of the consumption of processed meat may help prevent the global epidemic of type 2 diabetes. It seems like Na of processed meat may explain the association.

2015 ◽  
Vol 45 (4) ◽  
pp. 524-541
Author(s):  
Emma Derbyshire ◽  
Carrie Ruxton

Purpose – This review aims to evaluate and review literature published in the area of rising concerns that red meat consumption may be associated with risk of type 2 diabetes mellitus (T2DM), although there have been discrepancies between study findings, and put the findings into context. Design/methodology/approach – Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic literature review was undertaken to locate and summarise relevant studies which included epidemiological and clinical studies published between 2004 and 2014. Findings – A total of 23 studies were found, with 21 epidemiological and two clinical studies meeting the criteria. Overall, the totality of the evidence indicates that while processed meat consumption appears to be associated with T2DM risk, the effect is much weaker for red meat, with some associations attenuated after controlling for body weight parameters. Where studies have considered high intakes in relation to T2DM risk, meat intake has tended to exceed 600 g per week. Therefore, keeping red meat intakes within recommended guidelines of no more than 500 g per week, while opting for lean cuts or trimming fat, would seem to be an evidence-based response. Research limitations/implications – The majority of studies conducted to date have been observational cohorts which cannot determine cause and effect. Most of these used food frequency questionnaires which are known to be subject to misclassification errors (Brown, 2006). Clearly, more randomised controlled trials are needed to establish whether red meat consumption impacts on markers of glucose control. Until then, conclusions can only be viewed as speculative. Originality/value – This paper provides an up-to-date systematic review of the literature, looking at inter-relationships between red meat consumption and T2DM risk.


Nutrients ◽  
2014 ◽  
Vol 6 (10) ◽  
pp. 4317-4319 ◽  
Author(s):  
Neal Barnard ◽  
Susan Levin ◽  
Caroline Trapp

Nutrients ◽  
2014 ◽  
Vol 6 (2) ◽  
pp. 897-910 ◽  
Author(s):  
Neal Barnard ◽  
Susan Levin ◽  
Caroline Trapp

Nutrients ◽  
2014 ◽  
Vol 6 (3) ◽  
pp. 1181-1181 ◽  
Author(s):  
Neal Barnard ◽  
Susan Levin ◽  
Caroline Trapp

2018 ◽  
Author(s):  
Se-Hwa Kim ◽  
Soo-Kyung Kim ◽  
Young-Ju Choi ◽  
Seok-Won Park ◽  
Eun-Jig Lee ◽  
...  

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 278-LB
Author(s):  
BART STAELS ◽  
VLAD RATZIU ◽  
ARUN J. SANYAL ◽  
SVEN FRANCQUE ◽  
STEPHEN A. HARRISON ◽  
...  

2020 ◽  
Vol 16 ◽  
Author(s):  
Harish A Rao ◽  
Prakash Harischandra ◽  
Srikanth Yadav

Introduction: Diabetes mellitus is a well-known risk factor for cardiovascular disease, because of the accelerated process of atherosclerosis. Obesity is an established risk factor and has gained immense importance in recent studies as an important risk factor for clinical cardiovascular disease, yet the fundamental component stays unclear. Calf circumference is another form for lean mass and peripheral subcutaneous fat and is inversely associated with occurrence of carotid plaques (CP). Multiplicative and opposite effects of both Calf Circumference (CC) and Waist Circumference (WC) in event of CP suggest that the two measures should be taken into account commonly while assessing vascular risk profile. Aim & Objective: To ascertain if waist to calf circumference ratio (WCR) is a marker of Carotid atherosclerosis in patients with type 2 diabetes mellitus. To asses s the correlation between waist to calf circumference ratio and carotid intima media thickness (CIMT ) in patients with Type 2 diabetes. Materials and methods: A cross sectional study at Hospital affiliated to Kasturba Medical college Mangalore from Sept 2016 to Sept 2018 . Method of study: Patients with type 2 DM as per ADA criteria, age >18years are recruited for the study. Results and discussion: In our study with 150 population 25 patients had carotid atherosclerosis and 20 patients had CIMT>1.1. The waist circumference in patients with CA is in the range of 93.07 and 99.85 & the CC in patients with CA is in the range of 29.49 to 31.25. The WCR in patients with CA is in the range of 3.12 to 3.26. The difference was statistically significant with a p value of <0.05. In our study it was found that WC and WCR correlated well with carotid atherosclerosis, and surprisingly calf circumference also correlated with carotid atherosclerosis but not as significant as both WC and WCR. Conclusion: To conclude, in our population based study of 150 subjects we found that carotid atherosclerosis is significantly more in people with increased waist calf circumference ratio. WCR may be a new, useful and practical anthropometric index that facilitates the early identification of diabetic subjects with high risk for cardiovascular disease. Validation of this finding in individual populations is required. Future studies should test the association of calf circumference with carotid intima media thickness and carotid plaques using better measures than ultrasound such as magnetic resonance imaging. Further research focusing on underlying mechanisms in the role of lean mass and peripheral fat mass is required.


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