Red and processed meat consumption and risk of incident cardiovascular disease and mortality: Isfahan cohort study

Author(s):  
Narges Grau ◽  
Noushin Mohammadifard ◽  
Razieh Hassannejhad ◽  
Fahimeh Haghighatdoost ◽  
Masoumeh Sadeghi ◽  
...  
2018 ◽  
Vol 90 ◽  
pp. 73-82 ◽  
Author(s):  
Jana J. Anderson ◽  
Narisa D.M. Darwis ◽  
Daniel F. Mackay ◽  
Carlos A. Celis-Morales ◽  
Donald M. Lyall ◽  
...  

Author(s):  
Sarah M. Frank ◽  
Lindsay M. Jaacks ◽  
Carolina Batis ◽  
Lana Vanderlee ◽  
Lindsey Smith Taillie

Close economic ties encourage production and trade of meat between Canada, Mexico, and the US. Understanding the patterns of red and processed meat consumption in North America may inform policies designed to reduce meat consumption and bolster environmental and public health efforts across the continent. We used nationally-representative cross-sectional survey data to analyze consumption of unprocessed red meat; processed meat; and total red and processed meat. Generalized linear models were used to separately estimate probability of consumption and adjusted mean intake. Prevalence of total meat consumers was higher in the US (73.6, 95% CI: 72.3–74.8%) than in Canada (65.6, 63.9–67.2%) or Mexico (62.7, 58.1–67.2%). Men were more likely to consume unprocessed red, processed, and total meat, and had larger estimated intakes. In Mexico, high wealth individuals were more likely to consume all three categories of meat. In the US and Canada, those with high education were less likely to consume total and processed meat. Estimated mean intake of unprocessed red, processed, and total meat did not differ across sociodemographic strata. Overall consumption of red and processed meat remains high in North America. Policies to reduce meat consumption are appropriate for all three countries.


2021 ◽  
Vol 356 ◽  
pp. 129697
Author(s):  
Yin Huang ◽  
Dehong Cao ◽  
Zeyu Chen ◽  
Bo Chen ◽  
Jin Li ◽  
...  

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

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