Research Summary
Analyzed using Evidence Intelligence™

Nutrition Data Validates Dietary Intake for Type 1 Diabetes

Last updated September 2, 2026

Key finding

There were no significant differences in mean dietary intakes between the two methods (p = 0.33).

The study evaluated the web-based program Nutrition Data for assessing energy and macronutrient intake against 24-hour recalls, finding no significant differences.

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

The study evaluated the web-based program Nutrition Data for assessing energy and macronutrient intake against 24-hour recalls, finding no significant differences.

Clinical relevance

Accurate dietary assessment tools are crucial for nutrition research and clinical practice. The findings suggest that Nutrition Data can be a reliable alternative to traditional methods, potentially improving dietary tracking and management for individuals, especially those needing to monitor macronutrient intake closely.

Keep in mind

Limited generalizability due to participant characteristics Potential biases in self-reported dietary data Unclear long-term effectiveness of the program

Published in

Journal Reference

Publication details and source links for this paper.

Afroditi AB, Stephanie EB, Anneli B. The web-based program Nutrition Data showed good validity in assessing intake of energy and macronutrients compared to 24-h recalls. Frontiers in Nutrition. 2024;11:1395252. doi:10.3389/fnut.2024.1395252

Main Effects

No significant difference in energy intake (p = 0.33)

No significant difference in carbohydrate intake (% TEI) (p = 0.72)

High user acceptability: 70% found it easy to use

Evidence network

How this study fits

Understand where this research contributes within the broader evidence network.

Evidence Context

This study contributes evidence to Nutrition Data and Alcohol use, Carbohydrate intake, Daily intake of saturated fat in grams, and 6 more.

Primary intervention

Nutrition Data

Primary outcomes

  • Alcohol use
  • Carbohydrate intake
  • Daily intake of saturated fat in grams

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: 59

1

Related topics

9

Evidence pairs

110

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

Add related evidence to your Evidence Tracker

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Primary evidence

Evidence topic

Treatment Adherence

matched_outcome

Core evidence

Study findings

The primary outcomes reported in this study.

Alcohol use

Nutrition Data → Alcohol use

Nutrition Data → Alcohol use

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

Daily intake of saturated fat in grams

Nutrition Data → Daily intake of saturated fat in grams

Nutrition Data → Daily intake of saturated fat in grams

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

Fat intake

Nutrition Data → Fat intake

Nutrition Data → Fat intake

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

Fiber intake

Nutrition Data → Fiber intake

Nutrition Data → Fiber intake

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

Protein intake change

Nutrition Data → Protein intake change

Nutrition Data → Protein intake change

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

Sugars intake

Nutrition Data → Sugars intake

Nutrition Data → Sugars intake

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

UPF percentage contribution to total energy intake at follow-up

Nutrition Data → UPF percentage contribution to total energy intake at follow-up

Nutrition Data → UPF percentage contribution to total energy intake at follow-up

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

User acceptability of Nutrition Data

Nutrition Data → User acceptability of Nutrition Data

Nutrition Data → User acceptability of Nutrition Data

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

Carbohydrate intake

Nutrition Data → Carbohydrate intake

Nutrition Data → Carbohydrate intake

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

  • No significant differences in fat intake (% TEI) (p = 0.40)
  • 88% found Nutrition Data helpful for carbohydrate counting
  • 73% would recommend Nutrition Data to others
who this applies

Who this applies to

  • Individuals looking to monitor their dietary intake
  • People with diabetes needing to track carbohydrates
keep in mind

Keep in Mind

  • Results may not apply to populations outside the study group
  • Self-reported data can introduce inaccuracies
  • Further research needed to confirm long-term effectiveness
between the lines

Between the Lines

  • Limited generalizability due to participant characteristics
  • Potential biases in self-reported dietary data
  • Unclear long-term effectiveness of the program

Evidence Library

Build your evidence library

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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 Nutrition Data and Alcohol use, Nutrition Data and Carbohydrate intake.

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 Nutrition Data improve user acceptability of nutrition data?

Emerging Evidence

Nutrition Data appears to improve user acceptability of nutrition data.

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

Ranked evidence signals

  1. 1

    User acceptability of Nutrition Data

    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

Does Nutrition Data improve alcohol use?

Emerging Evidence

Current evidence does not show a clear benefit of Nutrition Data for alcohol use.

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

Ranked evidence signals

  1. 1

    Alcohol use

    EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | 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

Does Nutrition Data improve carbohydrate intake?

Emerging Evidence

Current evidence does not show a clear benefit of Nutrition Data for carbohydrate intake.

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

Ranked evidence signals

  1. 1

    Carbohydrate intake

    EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | 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

Does Nutrition Data improve daily intake of saturated fat in grams?

Emerging Evidence

Current evidence does not show a clear benefit of Nutrition Data for daily intake of saturated fat in grams.

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

Ranked evidence signals

  1. 1

    Daily intake of saturated fat in grams

    EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | 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
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