Becerra-Tomás Nerea, Babio Nancy, Martínez-González Miguel Ángel, Corella Dolores, Estruch Ramon, Ros Emilio, Fitó Montserrat, Serra-Majem Lluís, Salaverria Itziar, Lamuela-Raventós Rosa M, Lapetra José, Gómez-Gracia Enrique, Fiol Miguel, Toledo Estefanía, Sorlí José V, Pedret-Llaberia Maria Roser, Salas-Salvadó Jordi
Human Nutrition Unit, Faculty of Medicine and Health Sciences, Biochemistry & Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Human Nutrition Unit, Faculty of Medicine and Health Sciences, Biochemistry & Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Clin Nutr. 2016 Dec;35(6):1442-1449. doi: 10.1016/j.clnu.2016.03.017. Epub 2016 Mar 31.
BACKGROUND & AIMS: Few studies have assessed the association between consumption of red meat (RM) and processed red meats (PRM) and the incidence of metabolic syndrome (MetS) and results have been inconsistent. We investigated associations between total consumption of meat and its subtypes and incident MetS and estimated the effect of substituting RM or PRM for alternative protein-rich foods.
We analyzed 1868 participants (55-80 years-old) recruited into the PREDIMED study who had no MetS at baseline and were followed for a median of 3.2 years. MetS was defined using updated harmonized criteria. Anthropometric variables, dietary habits, and blood biochemistry were determined at baseline and yearly thereafter. Multivariable-adjusted hazard ratios (HRs) of MetS were estimated for the two upper tertiles (versus the lowest one) of mean consumption of meat and its subtypes during the follow-up as exposure.
Comparing the highest vs the lowest tertile of consumption, we observed an increased risk of MetS incidence, with HRs of 1.23 (95% confidence interval [CI]: 1.03-1.45) and 1.46 (CI: 1.22-1.74) for total meat and pooled RM and PRM, respectively. Compared with participants in the lowest tertile, those in the highest tertile of poultry and rabbit consumption had a lower risk of MetS incidence. The risk of MetS was lower when one-serving/day of RM or PRM was replaced by legumes, poultry and rabbit, fish or eggs.
RM and PRM consumption was associated with higher risk of MetS. Replacing RM or PRM with other protein-rich foods related to a lower risk of MetS and should, therefore, be encouraged. This trial was registered at controlled-trials.com as ISRCTN35739639.
很少有研究评估红肉(RM)和加工红肉(PRM)的摄入量与代谢综合征(MetS)发病率之间的关联,且结果并不一致。我们调查了肉类及其亚型的总摄入量与新发MetS之间的关联,并估计了用RM或PRM替代其他富含蛋白质食物的效果。
我们分析了纳入PREDIMED研究的1868名参与者(55 - 80岁),这些参与者在基线时没有MetS,且中位随访时间为3.2年。MetS采用更新后的统一标准进行定义。在基线时以及此后每年测定人体测量变量、饮食习惯和血液生化指标。以随访期间肉类及其亚型的平均摄入量的两个上三分位数(与最低三分位数相比)作为暴露因素,估计MetS的多变量调整风险比(HRs)。
比较摄入量的最高三分位数与最低三分位数,我们观察到MetS发病风险增加,总肉类以及合并的RM和PRM的HRs分别为1.23(95%置信区间[CI]:1.03 - 1.45)和1.46(CI:1.22 - 1.74)。与最低三分位数的参与者相比,最高三分位数的家禽和兔肉摄入量的参与者MetS发病风险较低。当每天一份RM或PRM被豆类、家禽和兔肉、鱼类或蛋类替代时,MetS风险较低。
RM和PRM的摄入与MetS的较高风险相关。用其他富含蛋白质的食物替代RM或PRM与较低的MetS风险相关,因此应予以鼓励。该试验在controlled - trials.com上注册,注册号为ISRCTN35739639。