Effect of unprocessed red meat on obesity and related factors: A systematic review and meta-analysis.

Obesity (Silver Spring, Md.) Pub Date : 2025-07-25 DOI:10.1002/oby.24322

Md Akheruzzaman, Marleigh Hefner, Daniel Baller, Shane Clark, Zahra Feizy, Diana M Thomas, Nikhil V Dhurandhar

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Abstract

Objective: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

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未加工红肉对肥胖的影响及其相关因素：系统回顾和荟萃分析。

目的：本研究的目的是对干预试验进行系统回顾和荟萃分析，这些试验确定了未加工红肉（URM）摄入对肥胖相关结果的影响。方法：采用PICO （population, interventions, control, and outcomes，人群、干预、对照和结果）框架创建问题，对2020年7月29日至2020年8月21日的7个数据库进行检索。两位审稿人独立筛选了5630篇参考文献。包括在成人中测试URM对肥胖相关结果影响的英语干预试验。24项研究符合选择标准。建立了一个随机效应模型来计算合并效应大小。使用dersimonan - laird估计器估计真实效应大小的方差。发布了一个交互式仪表板，以提供透明的分析和数据表示。结果：根据未过滤的合并效应大小，我们发现URM对BMI、体重或体脂百分比没有显著影响。过滤合并效应大小分析显示，URM对总胆固醇和低密度脂蛋白胆固醇有轻微的不利影响。结论：研究没有显示URM对体重增加、肥胖或相关代谢状况的影响。这可能有助于临床医生考虑对患者使用URM。如果URM对体重增加的影响较小，需要更长的时间来表达，则可能需要更长的研究时间来观察肥胖的发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Obesity (Silver Spring, Md.)

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