中国全科医学 ›› 2025, Vol. 28 ›› Issue (27): 3410-3421.DOI: 10.12114/j.issn.1007-9572.2024.0211

所属专题: 肥胖最新文章合辑

• 论著·健康管理·饮食与运动 • 上一篇    

同期训练可改善伴有超重或肥胖2型糖尿病患者的健康效应:一项Meta分析

卢冬磊1, 杨风英2, 冯展鹏1, 曹立全1,*(), 谭思洁1,*()   

  1. 1.301617 天津市,天津体育学院 天津市体卫融合与健康促进重点实验室
    2.250102 山东省济南市,山东体育学院运动与健康学院
  • 收稿日期:2024-05-20 修回日期:2024-07-10 出版日期:2025-09-20 发布日期:2025-07-22
  • 通讯作者: 曹立全, 谭思洁

  • 作者贡献:

    卢冬磊负责数据收集整理、选题、文章撰写;冯展鹏、曹立全负责数据收集整理、论文评估;杨风英、谭思洁负责论文思路、框架的把握,对整体文章负责。

  • 基金资助:
    国家重点研发计划(2020YFC2006704); 天津市教委科研计划重点项目(2020ZD07)

Conccurent Training Can Improve the Physical Health in Diabesity Individuals: a Meta-analysis

LU Donglei1, YANG Fengying2, FENG Zhanpeng1, CAO Liquan1,*(), TAN Sijie1,*()   

  1. 1. Tianjin Key Lab for Sports/Health Integration & Promotion, Tianjin 301617, China
    2. College of Sports and Health, Shandong Sport University, Jinan 250102, China
  • Received:2024-05-20 Revised:2024-07-10 Published:2025-09-20 Online:2025-07-22
  • Contact: CAO Liquan, TAN Sijie

摘要: 背景 伴有超重或肥胖的2型糖尿病是一种日益严重的全球公共卫生问题,患者常伴有胰岛素抵抗、代谢异常及慢性炎症。尽管运动干预被广泛认为能改善这些状况,但同期有氧与抗阻训练对伴有超重或肥胖的2型糖尿病患者的具体效果及其机制尚存在争议。 目的 通过Meta分析评估同期训练对伴有超重或肥胖的2型糖尿病患者身体成分、心肺耐力、糖脂代谢、炎症因子指标的效果,为该类人群非药物无创疗法的制订提供参考。 方法 检索PubMed、Web of Science、Ebsco、Embase、中国知网、维普网、万方数据知识服务平台、中国生物医学文献数据库,检索同期训练运动对伴有超重或肥胖的2型糖尿病患者身体成分、心肺耐力、脂质代谢、糖尿病相关代谢标志物、炎症因子相关指标干预效果的随机对照试验,检索时间范围为2001年1月—2024年3月。基于Cochrane风险偏倚评估工具评估纳入文献质量,Meta分析由Stata16.0软件完成。 结果 共纳入12项随机对照试验,包括967例伴有超重或肥胖的2型糖尿病患者。Meta分析结果显示,与对照组相比,同期训练运动干预组身体成分[BMI:WMD=-0.46,P<0.001;体脂百分比(BF%):WMD=-3.49,P<0.001;去脂体质量(FFM%):WMD=3.26,P<0.001;腰围(WC):WMD=-2.73,P<0.001;臀围(HC):WMD=-2.78,P<0.001]、心肺耐力[最大摄氧量(VO2max):WMD=3.85,P<0.001]、脂质代谢[三酰甘油(TG):SMD=-1.48,P=0.007;总胆固醇(TC):SMD=-1.66,P=0.002;高密度脂蛋白胆固醇(HDL-C):SMD=1.10,P=0.011;低密度脂蛋白胆固醇(LDL-C):SMD=-1.26,P=0.018)、糖尿病代谢标志物[糖化血红蛋白(HbA1c):WMD=-0.86,P<0.001;胰岛素抵抗指数(HOMA-IR):SMD=-0.97,P<0.004;血糖(Glucose):SMD=-1.32,P=0.014]、炎症标志物[肿瘤坏死因子α(TNF-α):SMD=-1.98,P<0.001]显著改善。 结论 同期训练可显著改善伴有超重或肥胖2型糖尿病患者体质健康相关结局指标,包括BMI、BF%、FFM%、WC、HC、VO2max、TG、TC、HDL-C、LDL-C、HbA1c、HOMA-IR、TNF-α,具体干预效果受训练总量及训练顺序影响。

关键词: 同期训练, 糖尿病, 肥胖, 身体成分, 心肺耐力, 脂质代谢, 炎症

Abstract:

Background

Obesity and type 2 diabetes, both associated with chronic metabolic dysfunction, are characterized by insulin resistance and heightened cardiovascular risk. Concurrent training emerges as an effective intervention to improve physical health in these patients, though the specific impacts warrant further exploration.

Objective

This study systematically evaluates the impact of concurrent training on body composition and other health metrics in obese type 2 diabetic patients.

Methods

We reviewed randomized controlled trials from databases like PubMed, Web of Science, Ebsco, CNKI, VIP, Wanfang Data, and SinoMed focusing on trials conducted between January 2001 and March 2024. These trials measured the effects of concurrent training on various health outcomes. Quality assessments were performed using the Cochrane risk of bias tool, and data were analyzed using Stata 16.0.

Results

Twelve randomized controled trials involving 967 participants showed that concurrent training significantly improves body composition [BMI: WMD=-0.46, P<0.001; body fat percentage (BF%) : WMD=-3.49, P<0.001; fat-free mass (FFM%) : WMD=3.26, P<0.001; waist circumference (WC) : WMD=-2.73, P<0.001; hip circumference (HC) : WMD=-2.78, P<0.001], cardiorespiratory fitness [maximal oxygen uptake (VO2max) : WMD=5.13, P<0.001) ], and metabolic profiles [Triglycerides (TG) : SMD=-1.48, P=0.007; total cholesterol (TC) : SMD=-1.66, P=0.002; high-density lipoprotein cholesterol (HDL-C) : SMD=1.10, P=0.011; low-density lipoprotein cholesterol (LDL-C) : SMD=-1.26, P=0.018; glycated hemoglobin percentage (HbA1c) : WMD=-0.86, P<0.001; homeostasis model assessment of insulin resistance (HOMA-IR) : SMD=-0.97, P=0.004; Glucose: SMD=-1.32, P=0.014], and inflammation markersα (TNF-α) : SMD=-1.98, P<0.001.

Conclusion

Concurrent training markedly improves key health outcomes in obese type 2 diabetes patients. The outcomes vary based on the volume and order of training sessions.

Key words: Concurrent training, Diabetes, Obesity, Body composition, Cardiorespiratory fitness, Lipid metabolism, Inflammation