Last updated September 9, 2026
Key finding
The glycemic qualification rate was significantly higher in the intervention group than in the control group at follow-up 3 (mean 87.9%, SD 14.9% vs 81.9%, SD 17.8%; P =.02).
This study evaluated a cognitive behavioral therapy-based digital dietary intervention for glycemic control in patients with gestational diabetes mellitus, finding improved outcomes in several areas.
Quick read
The essential study design details in one scan.
EvidenceScore™
Moderate
Study type
RCTs
Follow-up
Medium-Term (3–12 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 a cognitive behavioral therapy-based digital dietary intervention for glycemic control in patients with gestational diabetes mellitus, finding improved outcomes in several areas.
These findings are significant as they suggest that integrating behavioral strategies into dietary interventions can enhance glycemic control in gestational diabetes, potentially leading to better maternal and fetal health outcomes. Improved self-efficacy may empower patients to adhere to dietary recommendations, reducing the risk of complications associated with gestational diabetes.
The study's sample size may limit the generalizability of the findings. Potential confounding factors were not fully controlled. The effectiveness of the intervention in diverse populations remains unclear.
Published in
Publication details and source links for this paper.
Ying P, Jia T, Bing L, et al. Effects of a Cognitive Behavioral Therapy-Based Digital Dietary Intervention on Glycemic Control in Patients with Gestational Diabetes Mellitus: A Multicenter Randomized Controlled Trial. Journal of Medical Internet Research. 2025;27:e71075. doi:10.2196/71075
Glycemic qualification rate was significantly higher in the intervention group (87.9% vs 81.9%; P =.02).
Postprandial blood glucose levels after lunch were significantly lower in the intervention group (mean 5.9 vs 6.0 mmol/L; P =.02).
The intervention group had a lower incidence of macrosomia (5% vs 15%; P =.04).
Evidence network
Understand where this research contributes within the broader evidence network.
This study contributes evidence to Digital-based lifestyle intervention and Fasting Plasma Glucose (FPG), General Self-Efficacy Scale scores, Glycemic qualification rate, and 2 more.
This study contributes evidence to
Primary intervention
Digital-based lifestyle 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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Contributes evidence
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Primary evidence
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Core evidence
The primary outcomes reported in this study.
Digital-based lifestyle intervention → Fasting Plasma Glucose (FPG)
Digital-based lifestyle intervention → Fasting Plasma Glucose (FPG)
Digital-based lifestyle intervention → General Self-Efficacy Scale scores
Digital-based lifestyle intervention → General Self-Efficacy Scale scores
Digital-based lifestyle intervention → Glycemic qualification rate
Digital-based lifestyle intervention → Glycemic qualification rate
Digital-based lifestyle intervention → Incidence of macrosomia
Digital-based lifestyle intervention → Incidence of macrosomia
Digital-based lifestyle intervention → Postprandial blood glucose
Digital-based lifestyle intervention → Postprandial blood glucose
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Relationships organized using the Dediabetes Evidence Intelligence™ framework.
This study contributes to evidence on Digital Lifestyle Interventions and Fasting Glucose, Digital Lifestyle Interventions and General Self-Efficacy Scale scores.
This study contributes to the evidence on the following intervention-outcome relationships.
Devices & Technology
Devices & Technology
Curated evidence collections and hubs this study is part of.
All studies on Digital Lifestyle Interventions
Contributes to Digital Lifestyle Interventions evidence base.
All studies measuring Fasting Glucose
Measures Fasting Glucose as a key outcome.
All studies measuring General Self-Efficacy Scale scores
Measures General Self-Efficacy Scale scores as a key outcome.
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Published within the last 2 years.
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3 results
1 results
3 results
3 results
1 results
Generated from the study's connected evidence using Evidence Intelligence™.
Digital Lifestyle Interventions may improve fasting glucose.
ConsistencyScore™: Results are generally consistent across studies.
Ranked evidence signals
Fasting Plasma Glucose (FPG)
EvidenceScore™ Strong | EvidenceScore™ 79.0 | weak positive | ConsistencyScore™ Generally Consistent | 1 study
Why this answer: This answer is based on 5 supporting studies with generally consistent results and a positive effect signal.
Digital Lifestyle Interventions appears to improve postprandial and ogtt glucose.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Postprandial 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
Digital-based lifestyle intervention appears to improve general self-efficacy scale scores.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
General Self-Efficacy Scale scores
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Digital-based lifestyle intervention appears to improve glycemic qualification rate.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Glycemic qualification rate
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
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