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Research Summary
Analyzed using Evidence Intelligence™

I-ACE Software Improves Dietary Knowledge in Type 2 Diabetes

Powered by the Dediabetes Evidence Intelligence™ framework

Last updated September 1, 2026

Key finding

DM-related lifestyle knowledge increased more rapidly in the I-ACE arm than in the SLA arm (P value for study arm×time interaction=.02).

This pilot randomized controlled trial evaluated the impact of an interactive lifestyle assessment software on dietary knowledge and management in patients with Type 2 diabetes, finding significant improvements in dietary knowledge and fiber intake.

Quick read

Study at a glance

The essential study design details in one scan.

EvidenceScore™

Moderate

Study type

RCTs

Follow-up

Long-Term (1–5 y)

Risk of bias

Some Concerns

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Plain-language summary

What this paper says

A plain-language read of the study’s main message and where it applies.

Study focus

This pilot randomized controlled trial evaluated the impact of an interactive lifestyle assessment software on dietary knowledge and management in patients with Type 2 diabetes, finding significant improvements in dietary knowledge and fiber intake.

Clinical relevance

Improving dietary knowledge and management in patients with Type 2 diabetes is crucial for better health outcomes. The findings suggest that interactive software can be an effective tool for enhancing dietary habits, potentially leading to improved glycemic control and overall health.

Keep in mind

Small sample size limits generalizability. Short follow-up period may not capture long-term effects. Potential biases in self-reported dietary intake.

Published in

Journal Reference

Publication details and source links for this paper.

Gunther E, Kelly S, Andrew W, et al. The Effect of an Interactive Lifestyle Assessment, Counseling, and Education Software on Dietary Knowledge and Management in Patients with Type 2 Diabetes: A Pilot Randomized Controlled Trial. Journal of Medical Internet Research. 2019;21(10):e13674. doi:10.2196/13674

View DOIView on PubMedView on PMC

Main Effects

DM-related dietary knowledge increased more rapidly in the I-ACE arm (p=0.02).

Added sugar intake decreased by 2.6% of total energy in the I-ACE group (p=0.03).

Dietary fiber intake increased by 2.7 g/1000 kcal in the I-ACE group (p=0.003).

Evidence network

How this study fits

Understand where this research contributes within the broader evidence network.

Evidence Context

This study contributes evidence to I-ACE software and Added sugar intake, Diabetes-related dietary knowledge improvement, Fiber intake, and 2 more.

This study contributes evidence to

Intervention

I-ACE software

Outcome

Added sugar intake

Evidence topic

HbA1c Reduction

Primary intervention

I-ACE software

Primary outcomes

  • Added sugar intake
  • Diabetes-related dietary knowledge improvement
  • Fiber intake

Evidence topics

HbA1c ReductionPhysical Activity LevelsTreatment Adherence

Primary intervention

I-ACE software

Primary outcomes

Added sugar intakeDiabetes-related dietary knowledge improvementFiber intake

Evidence relationships

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

5
Evidence pairs
5
Relationships
3
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: 68

3

Related topics

5

Evidence pairs

755

Related studies

High relevance in at least one topic

Why it is useful

  • Contributes to 5 evidence relationships
  • Includes primary outcome data
  • Linked to 3 direct semantic evidence topics

Topic contributions

Evidence topic

Contributes evidence

Evidence topic

Contributes evidence

Evidence topic

Contributes evidence

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Primary evidence

Evidence topic

HbA1c Reduction

matched_outcome

Related evidence

Evidence topic

Physical Activity Levels

Save evidence

Core evidence

Study findings

The primary outcomes reported in this study.

Added sugar intake

I-ACE software → Added sugar intake

I-ACE software → Added sugar intake

Evidence Intelligence™
EvidenceScore™
Emerging
Score 59 · Based on 1 study
ImpactScore™
100
Very Positive
ConsistencyScore™
unclear
Not enough independent studies
Supporting studies: Based on 1 study
Add to Evidence Tracker

Diabetes-related dietary knowledge improvement

I-ACE software → Diabetes-related dietary knowledge improvement

I-ACE software → Diabetes-related dietary knowledge improvement

Evidence Intelligence™
EvidenceScore™
Emerging
Score 59 · Based on 1 study
ImpactScore™
100
Very Positive
ConsistencyScore™
unclear
Not enough independent studies
Supporting studies: Based on 1 study
Add to Evidence Tracker

Fiber intake

I-ACE software → Fiber intake

I-ACE software → Fiber intake

Evidence Intelligence™
EvidenceScore™
Emerging
Score 59 · Based on 1 study
ImpactScore™
100
Very Positive
ConsistencyScore™
unclear
Not enough independent studies
Supporting studies: Based on 1 study
Add to Evidence Tracker

HbA1c

I-ACE software → HbA1c

I-ACE software → HbA1c

Evidence Intelligence™
EvidenceScore™
Emerging
Score 59 · Based on 1 study
ImpactScore™
100
Very Positive
ConsistencyScore™
unclear
Not enough independent studies
Supporting studies: Based on 1 study
Add to Evidence Tracker

Physical activity level (MET-minutes per week)

I-ACE software → Physical activity level (MET-minutes per week)

I-ACE software → Physical activity level (MET-minutes per week)

Evidence Intelligence™
EvidenceScore™
Emerging
Score 59 · Based on 1 study
ImpactScore™
50
Neutral
ConsistencyScore™
unclear
Not enough independent studies
Supporting studies: Based on 1 study
Add to Evidence Tracker

Evidence Library

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evidence suggest

Evidence Suggest

  • I-ACE software led to a 2.6% reduction in added sugar intake.
  • Dietary fiber intake increased by 2.7 g/1000 kcal with I-ACE.
  • Both groups showed significant reductions in HbA1c levels.
who this applies

Who this applies to

  • Adults diagnosed with Type 2 diabetes.
  • Patients seeking to improve dietary management of their condition.
keep in mind

Keep in Mind

  • Results may not apply to populations outside the study sample.
  • Further research is needed to confirm long-term effectiveness.
  • The study's findings are based on self-reported data, which may introduce bias.
between the lines

Between the Lines

  • Small sample size limits generalizability.
  • Short follow-up period may not capture long-term effects.
  • Potential biases in self-reported dietary intake.

Evidence Library

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Save research, organize studies, and quickly find important evidence again.

Connected Evidence

Explore related studies, evidence collections, and research questions.

Relationships organized using the Dediabetes Evidence Intelligence™ framework.

Powered by the Dediabetes Evidence Intelligence™ framework

This study contributes to evidence on I-ACE software and Added sugar intake, I-ACE software and Diabetes-related dietary knowledge improvement.

Related evidence relationships

Explore in Evidence Explorer

This study contributes to the evidence on the following intervention-outcome relationships.

Questions answered by this study

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

Does I-ACE software improve added sugar intake?

Emerging Evidence

I-ACE software appears to improve added sugar intake.

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

Ranked evidence signals

  1. 1

    Added sugar intake

    EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study

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

Limitations

  • Only one supporting study is available.
1 supporting study
View Full Evidence

What evidence is available on I-ACE software and diabetes-related dietary knowledge improvement?

Emerging Evidence

I-ACE software appears to improve diabetes-related dietary knowledge improvement.

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

Ranked evidence signals

  1. 1

    Diabetes-related dietary knowledge improvement

    EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study

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

Limitations

  • Only one supporting study is available.
1 supporting study
View Full Evidence

Does I-ACE software improve fiber intake?

Emerging Evidence

I-ACE software appears to improve fiber intake.

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

Ranked evidence signals

  1. 1

    Fiber intake

    EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study

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

Limitations

  • Only one supporting study is available.
1 supporting study
View Full Evidence

Does I-ACE software lower HbA1c?

Emerging Evidence

I-ACE software appears to lower HbA1c.

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

Ranked evidence signals

  1. 1

    HbA1c

    EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study

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

Limitations

  • Only one supporting study is available.
1 supporting study
View Full Evidence
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Next steps

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Evidence topics

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HbA1c Reduction Evidence HubPhysical Activity Levels Evidence HubTreatment Adherence Evidence Hub

Explore in Evidence Explorer

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All studies on I-ACE software and Diabetes-related dietary knowledge improvementAll studies on I-ACE software and Added sugar intakeAll studies on I-ACE software and Fiber intakeAll studies on I-ACE software and HbA1c

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