2022
DOI: 10.1016/j.cmpbup.2022.100067
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Improving dietary data collection tools for better nutritional assessment – A systematic review

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Cited by 5 publications
(4 citation statements)
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“…Cost-driven consumption of small quantities of nutrient-dense foods, such as meat and eggs, likely prevents women in poorer households from attaining their micronutrient requirements. Although obtaining data on food quantity and frequency would have enabled a more comprehensive understanding of women’s dietary intake in our study areas, the logistical challenges involved in collecting such data and the variable data quality observed for food measurements are important considerations [ 26 , 27 ]. We explored the influence of rural or urban residence and age, education, and household wealth predictors on women’s dietary diversity.…”
Section: Discussionmentioning
confidence: 99%
“…Cost-driven consumption of small quantities of nutrient-dense foods, such as meat and eggs, likely prevents women in poorer households from attaining their micronutrient requirements. Although obtaining data on food quantity and frequency would have enabled a more comprehensive understanding of women’s dietary intake in our study areas, the logistical challenges involved in collecting such data and the variable data quality observed for food measurements are important considerations [ 26 , 27 ]. We explored the influence of rural or urban residence and age, education, and household wealth predictors on women’s dietary diversity.…”
Section: Discussionmentioning
confidence: 99%
“…There are numerous benefits of electronic FDs: their implementation reduces participant burden; standardizes data collection; improves data quality; and lowers costs, particularly when photo entry and accurate automated nutrient calculations are used [15][16][17][18]. Moreover, studies have shown a patient preference for electronic methods, in addition to greater user satisfaction and adherence, indicating that the use of mobile apps in dietary assessment can greatly benefit both participants and researchers [19][20][21].…”
Section: Benefits and Challengesmentioning
confidence: 99%
“…Therefore, efficient and scalable dietary assessment methods that accurately capture food timing are necessary. Mobile apps are a promising tool for dietary assessment with the potential to greatly improve efficiency if photo diaries are coupled with artificial intelligence (AI) identification and quantification of food logs [18,[31][32][33][34]. Thus, we focused on evaluating the usability, food timing features, data privacy and security, and accuracy of nutrient estimates while assessing the apps.…”
Section: Benefits and Challengesmentioning
confidence: 99%
“…Many of the metabolites discussed in this review are derived from bacterial metabolism of host dietary components, highlighting the need to couple metabolomic and microbiome analyses with dietary intake data. Advanced methods for dietary data analysis continue to emerge and will benefit this work greatly [ 94 ], particularly if labeled studies are incorporated [ 95 ], to improve our understanding of the impact of maternal diet on the breastfed infant.…”
Section: Summary and Future Research Directionsmentioning
confidence: 99%