Última actualización 8 de julio de 2026
Key finding
1-hour postprandial blood glucose decreased by 8.41 mg/dL (p < 0.001).
This study evaluated the impact of a structured food sequencing approach combined with mHealth dietary monitoring on maternal glycemic control in women with gestational diabetes mellitus, showing significant improvements in several health outcomes.
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 the impact of a structured food sequencing approach combined with mHealth dietary monitoring on maternal glycemic control in women with gestational diabetes mellitus, showing significant improvements in several health outcomes.
Improving glycemic control in pregnant women with gestational diabetes is crucial for reducing risks to both mothers and infants. This study highlights a practical intervention that can lead to better health outcomes, including fewer complications during delivery and improved neonatal health, thereby potentially influencing clinical practices and guidelines for managing gestational diabetes.
Exact values for some outcomes, such as hemoglobin and average birth weight, were not specified. The study's generalizability may be limited due to specific population characteristics. The effectiveness of the intervention was not fully established for all outcomes.
Published in
Publication details and source links for this paper.
Ria M, Shubhashree T, Kakithakara VL, et al. Combining a Structured Food Sequencing Approach with mHealth Dietary Monitoring Improves Maternal Glycemic Control and Pregnancy Outcomes in Women with Gestational Diabetes Mellitus. Frontiers in Nutrition. 2025;12:1562240. doi:10.3389/fnut.2025.1562240
1-hour postprandial blood glucose decreased by 8.41 mg/dL (p < 0.001).
2-hour postprandial blood glucose decreased by 7.56 mg/dL (p < 0.001).
LDL cholesterol decreased by 7.33 mg/dL (p < 0.001).
HDL cholesterol increased by 6.15 mg/dL (p < 0.001).
Evidence network
Understand where this research contributes within the broader evidence network.
This study contributes evidence to Structured food sequencing with mHealth monitoring and HDL cholesterol, Hemoglobin, LDL cholesterol, and 6 more.
This study contributes evidence to
Primary intervention
Structured food sequencing with mHealth monitoring
Primary outcomes
Evidence topics
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.
1
Related topics
9
Evidence pairs
245
Related studies
Evidence topic
Contributes evidence
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Evidencia principal
Tema de evidencia
matched_outcome
Core evidence
The primary outcomes reported in this study.
Structured food sequencing with mHealth monitoring → HDL cholesterol
Structured food sequencing with mHealth monitoring → HDL cholesterol
Structured food sequencing with mHealth monitoring → Hemoglobin
Structured food sequencing with mHealth monitoring → Hemoglobin
Structured food sequencing with mHealth monitoring → LDL cholesterol
Structured food sequencing with mHealth monitoring → LDL cholesterol
Structured food sequencing with mHealth monitoring → Neonatal birth weight
Structured food sequencing with mHealth monitoring → Neonatal birth weight
Structured food sequencing with mHealth monitoring → Neonatal complications
Structured food sequencing with mHealth monitoring → Neonatal complications
Structured food sequencing with mHealth monitoring → Normal deliveries
Structured food sequencing with mHealth monitoring → Normal deliveries
Structured food sequencing with mHealth monitoring → Number of NICU admissions
Structured food sequencing with mHealth monitoring → Number of NICU admissions
Structured food sequencing with mHealth monitoring → Postprandial blood glucose
Structured food sequencing with mHealth monitoring → Postprandial blood glucose
Structured food sequencing with mHealth monitoring → Shoulder dystocia cases
Structured food sequencing with mHealth monitoring → Shoulder dystocia cases
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Relationships organized using the Dediabetes Evidence Intelligence™ framework.
This study contributes to evidence on Structured food sequencing with mHealth monitoring and Adipokine and Angiogenic Markers, Structured food sequencing with mHealth monitoring and Hemoglobin.
This study contributes to the evidence on the following intervention-outcome relationships.
Diet and Nutrition
Diet and Nutrition
Curated evidence collections and hubs this study is part of.
All studies measuring Adipokine and Angiogenic Markers
Measures Adipokine and Angiogenic Markers as a key outcome.
All studies measuring Hemoglobin
Measures Hemoglobin as a key outcome.
All studies measuring Neonatal birth weight
Measures Neonatal birth weight as a key outcome.
All studies on Structured food sequencing with mHealth monitoring
Contributes to Structured food sequencing with mHealth monitoring evidence base.
Latest published studies
Published within the last 2 years.
Jump to pre-filtered views in Evidence Explorer.
1 results
1 results
1 results
1 results
1 results
Generated from the study's connected evidence using Evidence Intelligence™.
Structured food sequencing with mHealth monitoring appears to improve HDL cholesterol.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
HDL cholesterol
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Structured food sequencing with mHealth monitoring appears to improve LDL cholesterol.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
LDL cholesterol
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Structured food sequencing with mHealth monitoring appears to improve Neonatal birth weight.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Neonatal birth weight
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Structured food sequencing with mHealth monitoring appears to improve Neonatal complications.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Neonatal complications
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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