Research Summary
Analyzed using Evidence Intelligence™

Structured Food Sequencing with mHealth Improves Glycemic Control in Gestational Diabetes

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.

Evidence strength

Moderate confidence

Study type

RCTs

Follow-up

Medium-Term (3–12 mo)

Some Concerns bias
Last updated July 8, 2026

Quick read

Study at a glance

The essential study design details in one scan.

Population

Young Adult (19–39), Middle Aged (40-64), Female, Asia-Pacific (APAC), with Gestational Diabetes

Intervention

Structured food sequencing with mHealth monitoring

Study type

RCTs

Follow-up

Medium-Term (3–12 mo)

Primary outcome

1-hour postprandial blood glucose

Comparator

Standard antenatal care

Plain-language summary

What this paper says

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.

Clinical relevance

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.

Keep in mind

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

Journal Reference

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

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Main Effects

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

How this study fits

Understand where this research contributes within the broader evidence network.

Evidence Context

This study contributes evidence to Structured food sequencing with mHealth monitoring and HDL cholesterol, Hemoglobin, LDL cholesterol, and 6 more.

Primary intervention

Structured food sequencing with mHealth monitoring

Primary outcomes

  • HDL cholesterol
  • Hemoglobin
  • LDL cholesterol

Evidence relationships

Intervention and outcome relationships this study adds to the evidence network.

9
Evidence pairs
9
Relationships
1
Evidence topics
contributes_evidence

Editorial context

Why this study matters

See why this paper is useful beyond its individual results.

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.

Moderate contributionModerate confidenceNetwork score: 63

1

Related topics

9

Evidence pairs

109

Related studies

High relevance in at least one topic

Why it is useful

  • Contributes to 9 evidence relationships
  • Includes primary outcome data
  • Linked to 1 direct semantic evidence topic

Topic contributions

Evidence topic

Contributes evidence

Core evidence

Study findings

The primary outcomes reported in this study.

StrongIncrease

HDL cholesterol

Structured food sequencing with mHealth monitoring → HDL cholesterol

Structured food sequencing with mHealth monitoring → HDL cholesterol

Evidence profile

StrongIncreaseMetabolic Health
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NoneIncrease

Hemoglobin

Structured food sequencing with mHealth monitoring → Hemoglobin

Structured food sequencing with mHealth monitoring → Hemoglobin

Evidence profile

NoneIncreaseClinical Outcomes
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StrongDecrease

LDL cholesterol

Structured food sequencing with mHealth monitoring → LDL cholesterol

Structured food sequencing with mHealth monitoring → LDL cholesterol

Evidence profile

StrongDecreaseMetabolic Health
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StrongDecrease

Neonatal birth weight

Structured food sequencing with mHealth monitoring → Neonatal birth weight

Structured food sequencing with mHealth monitoring → Neonatal birth weight

Evidence profile

StrongDecreaseWeight & Anthropometrics
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StrongDecrease

Neonatal complications

Structured food sequencing with mHealth monitoring → Neonatal complications

Structured food sequencing with mHealth monitoring → Neonatal complications

Evidence profile

StrongDecreaseClinical Outcomes
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StrongIncrease

Normal deliveries

Structured food sequencing with mHealth monitoring → Normal deliveries

Structured food sequencing with mHealth monitoring → Normal deliveries

Evidence profile

StrongIncreaseClinical Outcomes
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StrongDecrease

Number of NICU admissions

Structured food sequencing with mHealth monitoring → Number of NICU admissions

Structured food sequencing with mHealth monitoring → Number of NICU admissions

Evidence profile

StrongDecreaseClinical Outcomes
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StrongDecrease

Postprandial blood glucose

Structured food sequencing with mHealth monitoring → Postprandial blood glucose

Structured food sequencing with mHealth monitoring → Postprandial blood glucose

Evidence profile

StrongDecreaseGlycemic Control
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StrongDecrease

Shoulder dystocia cases

Structured food sequencing with mHealth monitoring → Shoulder dystocia cases

Structured food sequencing with mHealth monitoring → Shoulder dystocia cases

Evidence profile

StrongDecreaseClinical Outcomes
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evidence suggest

Evidence Suggest

  • Fewer cases of shoulder dystocia in the intervention group (2 vs. 5).
  • More normal deliveries in the intervention group (13 vs. 10).
  • Fewer NICU admissions in the intervention group (1 vs. 3).
who this applies

Who this applies to

  • Women diagnosed with gestational diabetes mellitus.
  • Pregnant women seeking dietary management for glycemic control.
keep in mind

Keep in Mind

  • Results may not be applicable to all populations with gestational diabetes.
  • Long-term effects of the intervention were not assessed.
  • Further research is needed to confirm findings across diverse settings.
between the lines

Between the Lines

  • 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.

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Connected Evidence

Explore related studies, evidence collections, and research questions.

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 Adipokine and Angiogenic Markers.

Questions answered by this study

Generated from the study's connected evidence using Evidence Intelligence™.

Does Structured food sequencing with mHealth monitoring improve postprandial blood glucose?

Emerging Evidence

Structured food sequencing with mHealth monitoring appears to improve Postprandial blood glucose.

ConsensusScore™: Results are consistent across studies.

Ranked evidence signals

  1. 1

    Postprandial blood glucose

    EvidenceScore™ Emerging | EvidenceScore™ 51.7 | strong positive | ConsensusScore™ Consistent | 1 study

Why this answer: This answer is based on a single supporting study.

Limitations

  • Only one supporting study is available.
  • Population details are unavailable.
1 supporting studyUpdated: Jul 2026

Does Structured food sequencing with mHealth monitoring improve hdl cholesterol?

Emerging Evidence

Structured food sequencing with mHealth monitoring appears to improve HDL cholesterol.

ConsensusScore™: Consistency cannot yet be determined from the available evidence.

Ranked evidence signals

  1. 1

    HDL cholesterol

    EvidenceScore™ Emerging | EvidenceScore™ 51.7 | strong positive | ConsensusScore™ Unclear | 1 study

Why this answer: This answer is based on a single supporting study.

Limitations

  • Only one supporting study is available.
  • Consistency cannot yet be determined.
  • Population details are unavailable.
1 supporting studyUpdated: Jul 2026

Does Structured food sequencing with mHealth monitoring improve ldl cholesterol?

Emerging Evidence

Structured food sequencing with mHealth monitoring appears to improve LDL cholesterol.

ConsensusScore™: Consistency cannot yet be determined from the available evidence.

Ranked evidence signals

  1. 1

    LDL cholesterol

    EvidenceScore™ Emerging | EvidenceScore™ 51.7 | strong positive | ConsensusScore™ Unclear | 1 study

Why this answer: This answer is based on a single supporting study.

Limitations

  • Only one supporting study is available.
  • Consistency cannot yet be determined.
  • Population details are unavailable.
1 supporting studyUpdated: Jul 2026

Does Structured food sequencing with mHealth monitoring improve neonatal birth weight?

Emerging Evidence

Structured food sequencing with mHealth monitoring appears to improve Neonatal birth weight.

ConsensusScore™: Consistency cannot yet be determined from the available evidence.

Ranked evidence signals

  1. 1

    Neonatal birth weight

    EvidenceScore™ Emerging | EvidenceScore™ 51.7 | strong positive | ConsensusScore™ Unclear | 1 study

Why this answer: This answer is based on a single supporting study.

Limitations

  • Only one supporting study is available.
  • Consistency cannot yet be determined.
  • Population details are unavailable.
1 supporting studyUpdated: Jul 2026
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