Effects of concurrent training sequence on cardiometabolic risk factors in patients with type 2 diabetes: a systematic review and network meta-analysis.

EndocrineSep 28, 2026 (epub)
Clinical ResearchEndocrinologyInternal Medicine (General)Open access

Zongxiang Li, Cencen Liu, Yanzhong Liu

✦ AI-curated · Sources linked

In 30 seconds

This systematic review and network meta-analysis evaluated the effects of concurrent training sequences on cardiometabolic risk factors in patients with type 2 diabetes mellitus (T2DM). Analyzing 27 randomized controlled trials with 965 participants, both training sequences—CART and CRAT—significantly improved various cardiometabolic outcomes. Notably, CRAT ranked highest for body composition and glycaemic control, while CART excelled in blood pressure management.

Key findings

  • Both CART and CRAT significantly improved body fat percentage, HbA1c, and fasting blood glucose compared to control (all p < 0.05).
  • CRAT ranked highest for body composition, glycaemic control, and most lipid outcomes based on unadjusted SUCRA probabilities.
  • CART ranked highest for systolic and diastolic blood pressure.
  • Meta-regression suggested participant age may modify the efficacy of training sequences for BMI, HbA1c, and blood pressure.

Why it matters

Understanding the impact of different concurrent training sequences on cardiometabolic risk factors can help clinicians optimize exercise prescriptions for patients with type 2 diabetes, potentially improving patient outcomes.

What to keep in mind

The study's findings are exploratory, and the evidence quality is low according to CINeMA, limiting definitive conclusions.

Source

Published in Endocrine. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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