评估替代植物性肉类和动物性肉类对炎症生物标志物的影响:SWAP-MEAT 随机交叉试验的二次分析。
Assessing the effects of alternative plant-based meats . animal meats on biomarkers of inflammation: a secondary analysis of the SWAP-MEAT randomized crossover trial.
机构信息
Stanford Prevention Research Center, Stanford School of Medicine, Stanford, CA, USA.
Microbiology and Immunology, Stanford School of Medicine, Stanford, CA, USA.
出版信息
J Nutr Sci. 2022 Sep 23;11:e82. doi: 10.1017/jns.2022.84. eCollection 2022.
Alternative plant-based meats have grown in popularity with consumers recently and researchers are examining the potential health effects, or risks, from consuming these products. Because there have been no studies to date that have specifically assessed the health effects of plant-based meats on biomarkers of inflammation, the purpose of this work was to conduct a secondary analysis of the Study With Appetizing Plantfood - Meat Eating Alternatives Trial (SWAP-MEAT). SWAP-MEAT was a randomised crossover trial that involved generally healthy adults eating 2 or more servings of plant-based meats per day for 8 weeks (i.e. Plant phase) followed by 2 or more servings of animal meats per day for 8 weeks (i.e. Animal phase). Results of linear mixed-effects models indicated only 4 out of 92 biomarkers reached statistical significance. The results were contrary to our hypothesis, since we expected relative improvements in biomarkers of inflammation from the plant-based meats.
最近,替代植物性肉类越来越受到消费者的欢迎,研究人员正在研究食用这些产品的潜在健康影响或风险。由于迄今为止还没有研究专门评估植物性肉类对炎症生物标志物的健康影响,因此本研究旨在对美味植物性食物替代肉类的研究(SWAP-MEAT)进行二次分析。SWAP-MEAT 是一项随机交叉试验,涉及一般健康成年人每天食用 2 份或更多份植物性肉类(即植物期),持续 8 周,然后每天食用 2 份或更多份动物肉类(即动物期),持续 8 周。线性混合效应模型的结果表明,92 个生物标志物中只有 4 个达到统计学意义。结果与我们的假设相反,因为我们期望植物性肉类能改善炎症生物标志物。
相似文献
Clin J Am Soc Nephrol. 2024-11-1
Cochrane Database Syst Rev. 2022-2-1
引用本文的文献
Am J Lifestyle Med. 2024-3-14
Front Plant Sci. 2024-7-23
本文引用的文献
Nutr Metab Cardiovasc Dis. 2019-2-22