Last updated September 9, 2026
Key finding
24 h component: -0.32 mmol l -1 min -1, t 102,232 = -188.9, p< 0.001
This study investigated the impact of early meal timing on glucose levels in pregnant individuals with gestational diabetes, finding lower nocturnal glucose levels in the early eating group.
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 investigated the impact of early meal timing on glucose levels in pregnant individuals with gestational diabetes, finding lower nocturnal glucose levels in the early eating group.
These findings are important for managing gestational diabetes, as lower nocturnal glucose levels can reduce the risk of complications for both the mother and the baby. Adjusting meal timing could be a simple yet effective strategy for improving glycemic control in this population.
The study's sample size may limit the generalizability of the findings. Potential confounding factors were not fully controlled for. The study only assessed short-term outcomes.
Published in
Publication details and source links for this paper.
Hannah AC, Lucy W, Matthew PB, Amy MV. Early meal timing improves nocturnal glucose levels in pregnant individuals with gestational diabetes. Diabetologia. 2026;69(7):1839-1848. doi:10.1007/s00125-026-06701-w
The early eating group had lower nocturnal glucose levels (-0.32 mmol/l, p=0.001) compared to the late eating group.
The early eating group showed improved diurnal glucose patterns.
No significant difference in mean glucose levels (p=0.127) or percentage of time in range (p=0.384) between groups.
Evidence network
Understand where this research contributes within the broader evidence network.
This study contributes evidence to Continuous glucose monitoring and 2-hour plasma glucose, Change in diurnal mean glucose levels, Mean amplitude of glycemic excursions (MAGE), and 3 more.
This study contributes evidence to
Primary intervention
Continuous glucose monitoring
Primary outcomes
Primary intervention
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
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Contributes evidence
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Primary evidence
Evidence relationship
Related evidence
Evidence relationship
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Evidence relationship
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Core evidence
The primary outcomes reported in this study.
Continuous glucose monitoring → 2-hour plasma glucose
Continuous glucose monitoring → 2-hour plasma glucose
Continuous glucose monitoring → Change in diurnal mean glucose levels
Continuous glucose monitoring → Change in diurnal mean glucose levels
Continuous glucose monitoring → Mean amplitude of glycemic excursions (MAGE)
Continuous glucose monitoring → Mean amplitude of glycemic excursions (MAGE)
Continuous glucose monitoring → Nocturnal glucose control
Continuous glucose monitoring → Nocturnal glucose control
Continuous glucose monitoring → Pre-meal mean glucose
Continuous glucose monitoring → Pre-meal mean glucose
Continuous glucose monitoring → Time in range
Continuous glucose monitoring → Time in range
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Relationships organized using the Dediabetes Evidence Intelligence™ framework.
This study contributes to evidence on Insulin Delivery Systems and CGM Time in Range, Insulin Delivery Systems and CGM Time in Range.
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 measuring CGM Time in Range
Measures CGM Time in Range as a key outcome.
All studies on Insulin Delivery Systems
Contributes to Insulin Delivery Systems evidence base.
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Published within the last 2 years.
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13 results
4 results
13 results
13 results
4 results
Generated from the study's connected evidence using Evidence Intelligence™.
Insulin Delivery Systems may improve CGM Time in Range.
ConsistencyScore™: Results are mixed and should be interpreted cautiously.
Ranked evidence signals
Time in range
EvidenceScore™ Strong | EvidenceScore™ 85.2 | moderate positive | ConsistencyScore™ Generally Consistent | 1 study
Pre-meal mean glucose
EvidenceScore™ Strong | EvidenceScore™ 78.8 | moderate positive | ConsistencyScore™ Mixed | 1 study
Nocturnal glucose control
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is cautious because the available studies report mixed findings.
Insulin Delivery Systems may improve glucose variability.
ConsistencyScore™: Results are generally consistent across studies.
Ranked evidence signals
Mean amplitude of glycemic excursions (MAGE)
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on 8 supporting studies with generally consistent results and a positive effect signal.
Insulin Delivery Systems may improve postprandial and ogtt glucose.
ConsistencyScore™: Results are mixed and should be interpreted cautiously.
Ranked evidence signals
2-hour plasma glucose
EvidenceScore™ Strong | EvidenceScore™ 78.0 | moderate positive | ConsistencyScore™ Generally Consistent | 1 study
Why this answer: This answer is cautious because the available studies report mixed findings.
Continuous glucose monitoring appears to improve change in diurnal mean glucose levels.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Change in diurnal mean glucose levels
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
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