scholarly journals White Meat Consumption, All-Cause Mortality, and Cardiovascular Events: A Meta-Analysis of Prospective Cohort Studies

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 676
Author(s):  
Roberta Lupoli ◽  
Marilena Vitale ◽  
Ilaria Calabrese ◽  
Annalisa Giosuè ◽  
Gabriele Riccardi ◽  
...  

The association of meat consumption with mortality and morbidity for non-communicable diseases has been extensively studied. However, the relation of white meat consumption with health outcomes remains controversial. The present meta-analysis was conducted to comprehensively analyze the available evidence on the consistency and strength of the association between the consumption of white meat, death from any cause and incidence of fatal and non-fatal cardiovascular (CV) events. PubMed, Web of Science, Scopus and Embase databases were searched for articles published up to April 30, 2020. We included prospective cohort studies reporting relative risks and pertinent 95% confidence intervals (CI) for all-cause mortality and/or CV events (fatal or non-fatal). A total of 22 studies were included in the meta-analysis. Eleven studies (14 data sets) reported data on all-cause mortality, 10 studies (15 datasets) on cardiovascular disease (CVD) mortality and 10 studies (11 datasets) on non-fatal CV events. When comparing the highest versus the lowest consumption of white meat, the pooled OR and pertinent 95% CI were 0.94 (0.90, 0.97, p < 0.001) for all-cause mortality, 0.95 (0.89, 1.01, p = 0.13) for CV mortality, and 0.99 (0.95, 1.02, p = 0.48) for non-fatal CV events. In conclusion, the study shows for the first time a robust and inverse association between white meat consumption and all-cause mortality and a neutral association with CV mortality and morbidity. This highlights the importance of differentiating the meat types for what concerns their health effects and suggests that white meat might be a healthier alternative to read and processed meat consumption.

2019 ◽  
Vol 10 (6) ◽  
pp. 1029-1039 ◽  
Author(s):  
Sepideh Soltani ◽  
Ahmad Jayedi ◽  
Sakineh Shab-Bidar ◽  
Nerea Becerra-Tomás ◽  
Jordi Salas-Salvadó

ABSTRACT A previous meta-analysis provided convincing evidence for an inverse association between adherence to a Mediterranean diet (MedDiet) and the risk of all-cause mortality. Since then, 19 prospective studies have been published. We updated the evidence from these prospective studies and conducted a dose-response meta-analysis to test the linear and potential nonlinear dose-response associations between adherence to a MedDiet and the risk of all-cause mortality. The PubMed, Scopus, ISI Web of Knowledge, and Embase bibliographic databases were systematically searched up to August 24, 2018. Summary HRs were estimated with the use of a random-effects meta-analysis to assess the association between a 2-point increment in MedDiet adherence and the risk of all-cause mortality. Sensitivity and subgroup analyses were performed and potential publication bias was tested. Twenty-nine prospective studies with 1,676,901 participants and 221,603 cases of all-cause mortality were included in the final analysis. The pooled HR of all-cause mortality was 0.90 (95% CI: 0.89, 0.91; I2 = 81.1%) for a 2-point increment in adherence to a MedDiet. Subgroup analyses showed that a significant inverse association was stronger in participants who lived in the Mediterranean region compared with non-Mediterranean areas (HRs: 0.82 compared with 0.92, respectively), and in studies that used the Panagiotakos MedDiet score. A nonlinear dose-response meta-analysis indicated that the risk of all-cause mortality linearly decreased with the increase in adherence to a MedDiet. The robustness of findings was confirmed in the sensitivity analyses. In conclusion, low-quality evidence from prospective cohort studies suggests an inverse association between adherence to a MedDiet and the risk of all-cause mortality, especially in Mediterranean regions. An inverse linear dose-response relation was also observed between adherence to a MedDiet and the risk of all-cause mortality.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiangmei Zhao ◽  
Dongying Wang ◽  
Lijie Qin

Abstract Background This meta-analysis based on prospective cohort studies aimed to evaluate the associations of lipid profiles with the risk of major adverse cardiovascular outcomes in patients with coronary heart disease (CHD). Methods The PubMed, Embase, and Cochrane Library electronic databases were systematically searched for prospective cohort study published through December 2019, and the pooled results were calculated using the random-effects model. Results Twenty-one studies with a total of 76,221 patients with CHD met the inclusion criteria. The per standard deviation (SD) increase in triglyceride was associated with a reduced risk of major adverse cardiovascular events (MACE). Furthermore, the per SD increase in high-density lipoprotein cholesterol (HDL-C) was associated with a reduced risk of cardiac death, whereas patients with lower HDL-C were associated with an increased risk of MACE, all-cause mortality, and cardiac death. Finally, the risk of MACE was significantly increased in patients with CHD with high lipoprotein(a) levels. Conclusions The results of this study suggested that lipid profile variables could predict major cardiovascular outcomes and all-cause mortality in patients with CHD.


Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Peter T Katzmarzyk ◽  
I-Min Lee

Introduction: Sedentary behaviors such as television viewing are ubiquitous in modern society. Several prospective studies have demonstrated an association between television viewing and incident obesity and type 2 diabetes as well as cardiovascular disease and all-cause mortality. Hypothesis: We tested the null hypothesis that television viewing has no impact on life expectancy in the United States. Methods: A prevalence-based cause-deleted methodology was used to estimate the gains in life expectancy in the population that would be expected under current mortality patterns if television viewing was eliminated as a potential risk factor in the United States. The population attributable fraction (PAF, calculated using adjusted relative risk (RR) = ∑P(RR-1/RR)) was computed from the RR of all-cause mortality associated with television viewing (2–3.9 h and ≥4 h versus < 2 h) obtained from a meta-analysis of available prospective cohort studies, and the estimated case prevalence (P) of television viewing obtained from the U.S. National Health and Nutrition Examination Survey (2005–06) and the prospective cohort studies. The resulting PAF was applied to mortality rates among 18+ year olds living in the United States and an abridged life table analysis was used to estimate the potential gains in life expectancy. Results: Three prospective cohort studies contributed data to the meta-analysis, yielding summary RR estimates for all-cause mortality of 1.17 (95% CI: 1.04 – 1.32) and 1.49 (95% CI: 1.22–1.82) for 2–3.9 h and ≥4 h of television viewing versus <2 h, respectively. The estimated case prevalences of television viewing in the U.S. population were 23.8%, 45.7% and 37.2% for <2 h, 2–3.9 h and ≥4 h of television viewing, respectively. The estimated gain in life expectancy in the US population associated with television viewing was 1.38 years. The lower and upper limits from a sensitivity analysis which involved simultaneously varying the estimates of RR (using the upper and lower bounds of the 95% CI) and the prevalence of television viewing (± 20%) were 0.48 years and 2.50 years. Conclusions: Reducing sedentary behaviors such as television viewing has the potential to increase life expectancy in the United States.


2015 ◽  
Vol 16 (11) ◽  
pp. 1381-1387 ◽  
Author(s):  
Xiaoti Lin ◽  
Weiyu Chen ◽  
Fengqin Wei ◽  
Mingang Ying ◽  
Weidong Wei ◽  
...  

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