Akheruzzaman Md, Hefner Marleigh, Baller Daniel, Clark Shane, Feizy Zahra, Thomas Diana M, Dhurandhar Nikhil V
Department of Nutritional Sciences, Texas Tech University, Lubbock, Texas, USA.
US Army Intelligence and Security Command, Virginia, USA.
Obesity (Silver Spring). 2025 Sep;33(9):1627-1636. doi: 10.1002/oby.24322. Epub 2025 Jul 25.
The objective of this study was to conduct a systematic review and meta-analysis of intervention trials that have determined the effect of unprocessed red meat (URM) intake on obesity-related outcomes.
The populations, interventions, controls, and outcomes (PICO) framework was used to create questions to search seven databases from July 29, 2020, to August 21, 2020. Two reviewers independently screened 5630 references. English-language intervention trials in adults testing the effect of URM on obesity-related outcomes were included. Twenty-four studies met selection criteria. A random-effects model was developed to calculate pooled effect sizes. The DerSimonian-Laird estimator was used to estimate the variance of the true effect sizes. An interactive dashboard was published to provide transparent analysis and data presentation.
We found no significant effect of URM for BMI, body weight, or percent body fat based on unfiltered pooled effect sizes. Filtered pooled effect size analysis showed a slight adverse effect of URM for total cholesterol and low-density lipoprotein cholesterol.
Studies did not show an effect of URM on weight gain, obesity, or related metabolic conditions. This may help clinicians when considering the use of URM for patients. Longer studies may be needed for observing obesity development in case the effect of URM on weight gain is small and needs a much longer time to express.
本研究的目的是对已确定未加工红肉（URM）摄入量对肥胖相关结局影响的干预试验进行系统评价和荟萃分析。
采用人群、干预措施、对照和结局（PICO）框架来创建问题，以检索2020年7月29日至2020年8月21日期间的七个数据库。两名评审员独立筛选了5630篇参考文献。纳入了测试URM对成人肥胖相关结局影响的英文干预试验。24项研究符合入选标准。建立了随机效应模型来计算合并效应量。采用DerSimonian-Laird估计器来估计真实效应量的方差。发布了一个交互式仪表板，以提供透明的分析和数据呈现。
基于未筛选的合并效应量，我们发现URM对体重指数、体重或体脂百分比没有显著影响。经筛选的合并效应量分析显示，URM对总胆固醇和低密度脂蛋白胆固醇有轻微不良影响。
研究未显示URM对体重增加、肥胖或相关代谢状况有影响。这可能有助于临床医生在考虑为患者使用URM时做出决策。如果URM对体重增加的影响较小且需要更长时间才能显现，则可能需要进行更长时间的研究来观察肥胖的发展情况。
