- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 50
- Neutral
- ConsistencyScore™
- unclear
- Not enough independent studies
Nutrition Data Validates Dietary Intake for Type 1 Diabetes
Última actualización 2 de septiembre de 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
Referencia de la Revista
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
Efectos Principales
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.
This study contributes evidence to
Primary intervention
Nutrition Data
Primary outcomes
- Alcohol use
- Carbohydrate intake
- Daily intake of saturated fat in grams
Evidence topics
Primary intervention
Evidence relationships
Intervention and outcome relationships this study adds to the evidence network.
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.
1
Related topics
9
Evidence pairs
110
Related studies
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
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Evidencia principal
Tema de evidencia
Treatment Adherence
matched_outcome
Core evidence
Study findings
The primary outcomes reported in this study.
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
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 50
- Neutral
- ConsistencyScore™
- unclear
- Not enough independent studies
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 50
- Neutral
- ConsistencyScore™
- unclear
- Not enough independent studies
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 50
- Neutral
- ConsistencyScore™
- unclear
- Not enough independent studies
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 50
- Neutral
- ConsistencyScore™
- unclear
- Not enough independent studies
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 50
- Neutral
- ConsistencyScore™
- unclear
- Not enough independent studies
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
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 50
- Neutral
- ConsistencyScore™
- unclear
- Not enough independent studies
User acceptability of Nutrition Data
Nutrition Data → User acceptability of Nutrition Data
Nutrition Data → User acceptability of Nutrition Data
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 100
- Very Positive
- ConsistencyScore™
- unclear
- Not enough independent studies
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 50
- Neutral
- ConsistencyScore™
- unclear
- Not enough independent studies
Evidence Library
Build your evidence library
Save research, organize studies, and quickly find important evidence again.
La Evidencia Sugiere
- 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
A quién se aplica
- Individuals looking to monitor their dietary intake
- People with diabetes needing to track carbohydrates
Tener en Cuenta
- Results may not apply to populations outside the study group
- Self-reported data can introduce inaccuracies
- Further research needed to confirm long-term effectiveness
Entre Líneas
- 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
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.
This study contributes to evidence on Nutrition Data and Alcohol use, Nutrition Data and Carbohydrate intake.
Relaciones de evidencia relacionadas
Explore in Evidence ExplorerThis study contributes to the evidence on the following intervention-outcome relationships.
Nutrition Data → Alcohol use
Devices & Technology
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 50
- Neutral
- ConsistencyScore™
- unclear
- Not enough independent studies
Nutrition Data → Carbohydrate intake
Devices & Technology
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 50
- Neutral
- ConsistencyScore™
- unclear
- Not enough independent studies
Incluido en estas colecciones de evidencia
Curated evidence collections and hubs this study is part of.
Alcohol use Evidence Hub
All studies measuring Alcohol use
Measures Alcohol use as a key outcome.
Carbohydrate intake Evidence Hub
All studies measuring Carbohydrate intake
Measures Carbohydrate intake as a key outcome.
Nutrition Data Evidence Hub
All studies on Nutrition Data
Contributes to Nutrition Data evidence base.
Recent Diabetes Research
Latest published studies
Published within the last 2 years.
Explora más en Evidence Explorer
Jump to pre-filtered views in Evidence Explorer.
All studies on Nutrition Data and Alcohol use
1 results
All studies on Nutrition Data and Carbohydrate intake
1 results
All studies on Nutrition Data
1 results
All studies measuring Alcohol use
1 results
All studies measuring Carbohydrate intake
1 results
Questions answered by this study
Generated from the study's connected evidence using Evidence Intelligence™.
Does Nutrition Data improve user acceptability of nutrition data?
Nutrition Data appears to improve user acceptability of nutrition data.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
- 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.
Does Nutrition Data improve alcohol use?
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
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.
Does Nutrition Data improve carbohydrate intake?
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
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.
Does Nutrition Data improve daily intake of saturated fat in grams?
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
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.
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