Última actualización 29 de agosto de 2026
Key finding
The proposed deep learning model demonstrated considerable accuracy in predicting the next day glucose level.
This study analyzed mobile health data to predict glucose levels in patients with Type 2 diabetes, demonstrating considerable accuracy in predictions.
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 analyzed mobile health data to predict glucose levels in patients with Type 2 diabetes, demonstrating considerable accuracy in predictions.
Accurate glucose level predictions can significantly aid in diabetes management, potentially leading to better health outcomes. Understanding how lifestyle factors influence glucose can help patients and clinicians make informed decisions about dietary and activity modifications.
Effectiveness of the intervention remains unclear. Sample size and generalizability of results may be limited. Potential unmeasured confounders could affect outcomes.
Published in
Publication details and source links for this paper.
Gunther E, John M, Dr C(W, et al. Using Mobile Health Data to Forecast Glucose Levels in Patients with Type 2 Diabetes: A Secondary Analysis. JMIR mHealth and uHealth. 2019;7(11):e14452. doi:10.2196/14452
The model demonstrated considerable accuracy in predicting next-day glucose levels.
Blood glucose levels were influenced by extreme lifestyle events.
Dietary habits, physical activity, weight, and previous glucose levels were considered in the model.
Evidence network
Understand where this research contributes within the broader evidence network.
This study contributes evidence to DialBetesPlus mobile health intervention and Blood glucose, Improvements in dietary habits, Next-day glucose level prediction accuracy.
This study contributes evidence to
Primary intervention
DialBetesPlus mobile health intervention
Primary outcomes
Evidence topics
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.
2
Related topics
3
Evidence pairs
886
Related studies
Evidence topic
Contributes evidence
Evidence topic
Contributes evidence
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Evidencia principal
Tema de evidencia
matched_outcome
Evidencia relacionada
Tema de evidencia
Guardar evidencia
Core evidence
The primary outcomes reported in this study.
DialBetesPlus mobile health intervention → Blood glucose
DialBetesPlus mobile health intervention → Blood glucose
DialBetesPlus mobile health intervention → Improvements in dietary habits
DialBetesPlus mobile health intervention → Improvements in dietary habits
DialBetesPlus mobile health intervention → Next-day glucose level prediction accuracy
DialBetesPlus mobile health intervention → Next-day glucose level prediction accuracy
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Relationships organized using the Dediabetes Evidence Intelligence™ framework.
This study contributes to evidence on DialBetesPlus mobile health intervention and Fasting Glucose, DialBetesPlus mobile health intervention and Improvements in dietary habits.
This study contributes to the evidence on the following intervention-outcome relationships.
Behavioral & Lifestyle
Behavioral & Lifestyle
Curated evidence collections and hubs this study is part of.
All studies on DialBetesPlus mobile health intervention
Contributes to DialBetesPlus mobile health intervention evidence base.
All studies measuring Fasting Glucose
Measures Fasting Glucose as a key outcome.
All studies measuring Improvements in dietary habits
Measures Improvements in dietary habits as a key outcome.
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™.
DialBetesPlus mobile health intervention appears to improve next-day glucose level prediction accuracy.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Next-day glucose level prediction accuracy
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 DialBetesPlus mobile health intervention for blood glucose.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Blood glucose
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | 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 DialBetesPlus mobile health intervention for improvements in dietary habits.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Improvements in dietary habits
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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