Red Meat and Processed Meat Consumption and All-Cause Mortality: A Meta-Analysis

2013 ◽  
Vol 179 (3) ◽  
pp. 282-289 ◽  
Author(s):  
S. C. Larsson ◽  
N. Orsini
2015 ◽  
Vol 75 (3) ◽  
pp. 233-241 ◽  
Author(s):  
Sabine Rohrmann ◽  
Jakob Linseisen

Meat is a food rich in protein, minerals such as iron and zinc as well as a variety of vitamins, in particular B vitamins. However, the content of cholesterol and saturated fat is higher than in some other food groups. Processed meat is defined as products usually made of red meat that are cured, salted or smoked (e.g. ham or bacon) in order to improve the durability of the food and/or to improve colour and taste, and often contain a high amount of minced fatty tissue (e.g. sausages). Hence, high consumption of processed foods may lead to an increased intake of saturated fats, cholesterol, salt, nitrite, haem iron, polycyclic aromatic hydrocarbons, and, depending upon the chosen food preparation method, also heterocyclic amines. Several large cohort studies have shown that a high consumption of processed (red) meat is related to increased overall and cause-specific mortality. A meta-analysis of nine cohort studies observed a higher mortality among high consumers of processed red meat (relative risk (RR) = 1·23; 95 % CI 1·17, 1·28, top v. bottom consumption category), but not unprocessed red meat (RR = 1·10; 95 % CI 0·98, 1·22). Similar associations were reported in a second meta-analysis. All studies argue that plausible mechanisms are available linking processed meat consumption and risk of chronic diseases such as CVD, diabetes mellitus or some types of cancer. However, the results of meta-analyses do show some degree of heterogeneity between studies, and it has to be taken into account that individuals with low red or processed meat consumption tend to have a healthier lifestyle in general. Hence, substantial residual confounding cannot be excluded. Information from other types of studies in man is needed to support a causal role of processed meat in the aetiology of chronic diseases, e.g. studies using the Mendelian randomisation approach.


2014 ◽  
Vol 112 (5) ◽  
pp. 762-775 ◽  
Author(s):  
Itziar Abete ◽  
Dora Romaguera ◽  
Ana Rita Vieira ◽  
Adolfo Lopez de Munain ◽  
Teresa Norat

An association between processed and red meat consumption and total mortality has been reported by epidemiological studies; however, there are many controversial reports regarding the association between meat consumption and CVD and IHD mortality. The present meta-analysis was carried out to summarise the evidence from prospective cohort studies on the association between consumption of meat (total, red, white and processed) and all-cause, CVD and IHD mortality. Cohort studies were identified by searching the PubMed and ISI Web of Knowledge databases. Risk estimates for the highest v. the lowest consumption category and dose–response meta-analysis were calculated using a random-effects model. Heterogeneity among the studies was also evaluated. A total of thirteen cohort studies were identified (1 674 272 individuals). Subjects in the highest category of processed meat consumption had 22 and 18 % higher risk of mortality from any cause and CVD, respectively. Red meat consumption was found to be associated with a 16 % higher risk of CVD mortality, while no association was found for total and white meat consumption. In the dose–response meta-analysis, an increase of 50 g/d in processed meat intake was found to be positively associated with all-cause and CVD mortality, while an increase of 100 g/d in red meat intake was found to be positively associated with CVD mortality. No significant associations were observed between consumption of any type of meat and IHD mortality. The results of the present meta-analysis indicate that processed meat consumption could increase the risk of mortality from any cause and CVD, while red meat consumption is positively but weakly associated with CVD mortality. These results should be interpreted with caution due to the high heterogeneity observed in most of the analyses as well as the possibility of residual confounding.


Oncotarget ◽  
2017 ◽  
Vol 8 (47) ◽  
pp. 83306-83314 ◽  
Author(s):  
Zhanwei Zhao ◽  
Quanxin Feng ◽  
Zifang Yin ◽  
Jianbo Shuang ◽  
Bin Bai ◽  
...  

Nutrition ◽  
2015 ◽  
Vol 31 (1) ◽  
pp. 45-50 ◽  
Author(s):  
Youdong Wei ◽  
Dezhi Zou ◽  
Du Cao ◽  
Peng Xie

2019 ◽  
Vol 171 (10) ◽  
pp. 703 ◽  
Author(s):  
Dena Zeraatkar ◽  
Mi Ah Han ◽  
Gordon H. Guyatt ◽  
Robin W.M. Vernooij ◽  
Regina El Dib ◽  
...  

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