The Use of Three-Dimensional Images and Food Descriptions from a Smartphone Device Is Feasible and Accurate for Dietary Assessment
Technology-assisted dietary assessment has the potential to improve the accuracy of self-reported dietary intake. This study evaluates MealScan3D (MS3D), a mobile device-based food recording system, which uses three-dimensional images to obtain food volumes and an application to capture algorithm-dr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Nutrients |
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| Online Access: | https://www.mdpi.com/2072-6643/16/6/828 |
| _version_ | 1797239801396592640 |
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| author | Jeannette M. Schenk Alanna Boynton Pavel Kulik Alexei Zyuzin Marian L. Neuhouser Alan R. Kristal |
| author_facet | Jeannette M. Schenk Alanna Boynton Pavel Kulik Alexei Zyuzin Marian L. Neuhouser Alan R. Kristal |
| author_sort | Jeannette M. Schenk |
| collection | DOAJ |
| description | Technology-assisted dietary assessment has the potential to improve the accuracy of self-reported dietary intake. This study evaluates MealScan3D (MS3D), a mobile device-based food recording system, which uses three-dimensional images to obtain food volumes and an application to capture algorithm-driven food intake data. Participants (<i>n</i> = 179) were randomly assigned and trained to record three meals using either MS3D or a written food record (WFR). Generous amounts of standardized meals were provided, and participants self-selected portions for each food. The weights of provided and uneaten/leftover foods were used to determine true intake. For total energy intake (three meals combined), validity (Pearson correlation) was significantly higher for MS3D vs. the WFR (<i>p</i> < 0.001); when interpreted as the percentage of variance in energy intake explained, MS3D explained 84.6% of true variance, a 25.3% absolute and 42.6% relative increase over the 59.3% explained by the WFR. For 9 of 15 individual foods, the Pearson correlations between true and reported portion size estimates were significantly larger for MS3D than the WFR. Bias was smaller (intercepts were closer to the means) for 9 of 15 foods and the regression coefficients for 10 of 15 foods were significantly closer to 1.0 in the MS3D arm. MS3D is feasible for dietary assessment and may provide improvements in accuracy compared to WFRs. |
| first_indexed | 2024-04-24T17:57:18Z |
| format | Article |
| id | doaj.art-8014e19b6d7c43619e89d63939ded0bc |
| institution | Directory Open Access Journal |
| issn | 2072-6643 |
| language | English |
| last_indexed | 2024-04-24T17:57:18Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nutrients |
| spelling | doaj.art-8014e19b6d7c43619e89d63939ded0bc2024-03-27T13:58:12ZengMDPI AGNutrients2072-66432024-03-0116682810.3390/nu16060828The Use of Three-Dimensional Images and Food Descriptions from a Smartphone Device Is Feasible and Accurate for Dietary AssessmentJeannette M. Schenk0Alanna Boynton1Pavel Kulik2Alexei Zyuzin3Marian L. Neuhouser4Alan R. Kristal5Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USACancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USAAllen Institute, Seattle, WA 98109, USAIllionix Product Development, Seattle, WA 98125, USACancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USACancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USATechnology-assisted dietary assessment has the potential to improve the accuracy of self-reported dietary intake. This study evaluates MealScan3D (MS3D), a mobile device-based food recording system, which uses three-dimensional images to obtain food volumes and an application to capture algorithm-driven food intake data. Participants (<i>n</i> = 179) were randomly assigned and trained to record three meals using either MS3D or a written food record (WFR). Generous amounts of standardized meals were provided, and participants self-selected portions for each food. The weights of provided and uneaten/leftover foods were used to determine true intake. For total energy intake (three meals combined), validity (Pearson correlation) was significantly higher for MS3D vs. the WFR (<i>p</i> < 0.001); when interpreted as the percentage of variance in energy intake explained, MS3D explained 84.6% of true variance, a 25.3% absolute and 42.6% relative increase over the 59.3% explained by the WFR. For 9 of 15 individual foods, the Pearson correlations between true and reported portion size estimates were significantly larger for MS3D than the WFR. Bias was smaller (intercepts were closer to the means) for 9 of 15 foods and the regression coefficients for 10 of 15 foods were significantly closer to 1.0 in the MS3D arm. MS3D is feasible for dietary assessment and may provide improvements in accuracy compared to WFRs.https://www.mdpi.com/2072-6643/16/6/828dietary assessmentdietary intakefood recordstechnology-assisted dietary assessmentpublic healthmHealth |
| spellingShingle | Jeannette M. Schenk Alanna Boynton Pavel Kulik Alexei Zyuzin Marian L. Neuhouser Alan R. Kristal The Use of Three-Dimensional Images and Food Descriptions from a Smartphone Device Is Feasible and Accurate for Dietary Assessment Nutrients dietary assessment dietary intake food records technology-assisted dietary assessment public health mHealth |
| title | The Use of Three-Dimensional Images and Food Descriptions from a Smartphone Device Is Feasible and Accurate for Dietary Assessment |
| title_full | The Use of Three-Dimensional Images and Food Descriptions from a Smartphone Device Is Feasible and Accurate for Dietary Assessment |
| title_fullStr | The Use of Three-Dimensional Images and Food Descriptions from a Smartphone Device Is Feasible and Accurate for Dietary Assessment |
| title_full_unstemmed | The Use of Three-Dimensional Images and Food Descriptions from a Smartphone Device Is Feasible and Accurate for Dietary Assessment |
| title_short | The Use of Three-Dimensional Images and Food Descriptions from a Smartphone Device Is Feasible and Accurate for Dietary Assessment |
| title_sort | use of three dimensional images and food descriptions from a smartphone device is feasible and accurate for dietary assessment |
| topic | dietary assessment dietary intake food records technology-assisted dietary assessment public health mHealth |
| url | https://www.mdpi.com/2072-6643/16/6/828 |
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