Last updated August 24, 2026
Key finding
Postprandial nadir glucose was lower in the EX group (4.5 ± 1.15 mmol/L) compared to the CON group (5.4 ± 0.98 mmol/L).
This study evaluated the impact of personalized exercise prescriptions on glycemic control in type 2 diabetes patients, finding significant improvements in several glucose metrics.
Quick read
The essential study design details in one scan.
EvidenceScore™
Moderate
Study type
RCTs
Follow-up
Short-Term (≤3 mo)
Risk of bias
Some Concerns
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Plain-language summary
A plain-language read of the study’s main message and where it applies.
Study focus
This study evaluated the impact of personalized exercise prescriptions on glycemic control in type 2 diabetes patients, finding significant improvements in several glucose metrics.
Improving glycemic control is crucial for managing type 2 diabetes and reducing the risk of complications. This study highlights the potential of personalized exercise interventions as a practical strategy for enhancing blood sugar management in diabetic patients, which could lead to better health outcomes and quality of life.
The study lacked a long-term follow-up to assess sustained effects. Sample size may limit the generalizability of the findings. Effectiveness of the exercise prescription may vary based on individual adherence.
Published in
Publication details and source links for this paper.
Chen W, Hongxing Y, Houdi Z, et al. Personalized Exercise Prescription Based on Chester Step Test Improves Glycemic Control in Type 2 Diabetes Patients. Medicine. 2025;104(44):e45615. doi:10.1097/MD.0000000000045615
Postprandial nadir glucose was lower in the exercise group (4.5 ± 1.15 mmol/L) compared to the control group (5.4 ± 0.98 mmol/L), p=0.016.
Blood glucose standard deviation was reduced in the exercise group (1.5 ± 0.41 mmol/L) compared to the control group (2 ± 0.36 mmol/L), p=0.027.
Mean amplitude of glycemic excursions decreased in the exercise group (3.6 ± 1.86 mmol/L) compared to the control group (5.5 ± 1.82 mmol/L), p=0.009.
Evidence network
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This study contributes evidence to Personalized exercise prescription and Blood glucose, Glucose iAUC (OGTT), Glycaemic variability (CONGA-1), and 1 more.
This study contributes evidence to
Primary intervention
Personalized exercise prescription
Primary outcomes
Primary intervention
Primary outcomes
Intervention and outcome relationships this study adds to the evidence network.
Editorial context
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Evidence network role
This section describes how the study fits into the current evidence network. It does not determine whether an intervention works on its own.
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Evidence pairs
1077
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Contributes evidence
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Contributes evidence
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Contributes evidence
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Contributes evidence
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Primary evidence
Evidence topic
matched_outcome
Related evidence
Evidence topic
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Core evidence
The primary outcomes reported in this study.
Personalized exercise prescription → Blood glucose
Personalized exercise prescription → Blood glucose
Personalized exercise prescription → Glucose iAUC (OGTT)
Personalized exercise prescription → Glucose iAUC (OGTT)
Personalized exercise prescription → Glycaemic variability (CONGA-1)
Personalized exercise prescription → Glycaemic variability (CONGA-1)
Personalized exercise prescription → Mean amplitude of glycemic excursions (MAGE)
Personalized exercise prescription → Mean amplitude of glycemic excursions (MAGE)
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Relationships organized using the Dediabetes Evidence Intelligence™ framework.
This study contributes to evidence on Personalized exercise prescription and Fasting Glucose, Personalized exercise prescription and Postprandial and OGTT Glucose.
This study contributes to the evidence on the following intervention-outcome relationships.
Physical Activity
Physical Activity
Curated evidence collections and hubs this study is part of.
All studies measuring Fasting Glucose
Measures Fasting Glucose as a key outcome.
All studies on Personalized exercise prescription
Contributes to Personalized exercise prescription evidence base.
All studies measuring Postprandial and OGTT Glucose
Measures Postprandial and OGTT Glucose as a key outcome.
Latest published studies
Published within the last 2 years.
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1 results
1 results
1 results
1 results
1 results
Generated from the study's connected evidence using Evidence Intelligence™.
Personalized exercise prescription appears to improve blood glucose.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Blood glucose
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Personalized exercise prescription appears to improve glucose iauc (OGTT).
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Glucose iAUC (OGTT)
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Personalized exercise prescription appears to improve mean amplitude of glycemic excursions (MAGE).
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Mean amplitude of glycemic excursions (MAGE)
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Current evidence does not show a clear benefit of Personalized exercise prescription for glycaemic variability (CONGA-1).
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Glycaemic variability (CONGA-1)
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
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