Methodological narrative review: Tools to measure fruit and vegetable consumption among toddlers ; challenges of measurement tools; variations in serving sizes and food preparation methods ri 1

Main Article Content

amal alshukri

Abstract

Abstract:
Background/Rationale: Measurement of the consumption of fruit and vegetable accurately in toddlers is crucial for evaluating interventions to prevent obesity and promote healthy eating habits. Nevertheless, significant methodological limitations persist due to proxy reporting, variability in serving sizes, and diverse food preparation methods.
Objectives: To assess the tools currently used to measure fruit and vegetable consumption among toddlers, identify challenges associated with measurement accuracy, and examine how variability food preparation methods and portion size impact assessment validity.
Methods: A narrative review was conducted using systematic database searches of PubMed/MEDLINE, Scopus, and Web of Science for peer-reviewed studies published earlier and up to date. Search terms combined population descriptors (toddlers, young children, 1-3 years), dietary assessment methods (FFQs, 24-hour recalls, biomarkers, digital tools), and contextual factors (portion size, food preparation).
Results: Conventional nutritional assessment techniques, such as FFQs and 24-hour recalls, are nevertheless vulnerable to proxy reporting mistakes, social desirability, and recollection bias. Digital photography and mobile applications are examples of emerging technologies that have the potential to enhance things but still need more testing. Skin carotenoid measurement is an example of an objective biomarker that shows potential as a substitute for validation problems in young infants. Significant variation in serving sizes and food preparation techniques (such as purees and mixed dishes) also significantly affects measurement accuracy and restricts cross-study comparisons.
Conclusions: Measuring toddlers' fruit and vegetable consumption is still challenging, despite advancements in dietary assessment methods. The most effective approaches must balance accuracy, feasibility, and burden while taking developmental characteristics into account. To increase measurement accuracy and intervention evaluation, future research should focus on developing age-appropriate technological solutions, standardizing portion size estimation, improving proxy-report methods, and validating objective biomarkers.

Article Details

How to Cite
alshukri, amal. (2026). Methodological narrative review: Tools to measure fruit and vegetable consumption among toddlers ; challenges of measurement tools; variations in serving sizes and food preparation methods ri 1 . Libyan Journal of Medical and Applied Sciences, 4(1), 45–59. https://doi.org/10.64943/ljmas.2026.04145
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References

Kay, M. C., Duffy, E. W., Sun, B., & Borger, C. (2023). Comparing Diet Quality Indices for Low-Income 24-Month-Old Toddlers: Exploring Changes Driven by 2020–2025 Dietary Guidelines for Americans. The Journal of Nutrition, 153(1), 215–224.

Roark, R. A., & Niederhauser, V. P. (2013). Fruit and vegetable intake: issues with definition and measurement. Public Health Nutrition, 16(1), 2–7.

de Souza Mata, J., Freitas, J. V., Crispim, S. P., Interlenghi, G. S., Magno, M. B., Ferreira, D. M., & Araujo, M. C. (2023). Technological tools for assessing children's food intake: a scoping review. Journal of Nutritional Science, 12, e43.

Nyström, C. D., Forsum, E., Henriksson, H., Trolle-Lagerros, Y., Larsson, C., Maddison, R., Timpka, T., Löf, M., & Löf, M. (2016). A mobile phone based method to assess energy and food intake in young children: A validation study against the doubly labelled water method and 24 h dietary recalls. Nutrients, 8(1). https://doi.org/10.3390/NU8010050

Hasan, F., Nguyen, A. V., Reynolds, A. R., You, W., Zoellner, J., Nguyen, A. J., Swift, D., & Kranz, S. (2023). Preschool- and childcare center-based interventions to increase fruit and vegetable intake in preschool children in the United States: a systematic review of effectiveness and behavior change techniques. International Journal of Behavioral Nutrition and Physical Activity, 20(1), 66.

Whiteside-Mansell, L., Swindle, T., & Davenport, K. (2021). Evaluation of “Together, We Inspire Smart Eating”(WISE) nutrition intervention for young children: assessment of fruit and vegetable consumption with parent reports and measurements of skin carotenoids as biomarkers. Journal of Hunger & Environmental Nutrition, 16(2), 235–245.

Eldridge, A. L., Catellier, D. J., Hampton, J. C., Dwyer, J. T., & Bailey, R. L. (2019). Trends in mean nutrient intakes of US infants, toddlers, and young children from 3 Feeding Infants and Toddlers Studies (FITS). The Journal of Nutrition, 149(7), 1230–1237.

Wallace, A., Kirkpatrick, S. I., Darlington, G., & Haines, J. (2018). Accuracy of parental reporting of preschoolers’ dietary intake using an online self-administered 24-h recall. Nutrients, 10(8). https://doi.org/10.3390/NU10080987

Pérez-Rodrigo, C., Escauriaza, B. A., Bartrina, J. A., & Allúe, I. P. (2015). Dietary assessment in children and adolescents: issues and recommendations. Nutricion Hospitalaria, 31(3), 76–83.

Hasnin, S., Dev, D. A., Swindle, T., Sisson, S. B., Pitts, S. B. J., Purkait, T., Clifton, S. C., Dixon, J., & Stage, V. C. (2023). Systematic review of reflection spectroscopy-based skin carotenoid assessment in children. Nutrients, 15(6), 1315. https://doi.org/10.3390/nu15061315

Gooijer, F. D., Lasschuijt, M., Feskens, E. J. M., & Camps, G. (2025). Automated registration of snacking behavior in 3- to 7-year-old children using snackbox technology. Appetite, 214, 108201. https://doi.org/10.1016/j.appet.2025.108201

May, K., Pitts, S. B. J., Stage, V. C., Kelley, C. J., Burkholder, S., Fang, X., Zeng, A., & Lazorick, S. (2020). Use of the Veggie Meter® as a tool to objectively approximate fruit and vegetable intake among youth for evaluation of preschool and school-based interventions. Journal of Human Nutrition and Dietetics, 33(6), 869–875. https://doi.org/10.1111/JHN.12755

Azupogo, F., Koyratty, N., Smith, T. J., Hinnouho, G. M., Tharaney, M., Bliznashka, L., Amunga, D. A., Angeles-Agdeppa, I., Goyena, E., Grant, F., & Kinabo, J. (2025). Interventions on fruit and vegetable intake in low-, middle-, and high-income countries: a scoping review of evidence and knowledge gaps. Food and Nutrition Bulletin.

Yuan, L., Muli, S., Huybrechts, I., Nöthlings, U., Ahrens, W., Scalbert, A., & Floegel, A. (2022). Assessment of fruit and vegetables intake with biomarkers in children and adolescents and their level of validation: A systematic review. Metabolites, 12(2), 126. https://doi.org/10.3390/metabo12020126

Lovell, A. L., Davies, P., Hill, R. J., Milne, T., Matsuyama, M., Jiang, Y., Chen, R. R., Heath, A. M., Grant, C. C., & Wall, C. R. (2021). Validation and calibration of the Eating Assessment in Toddlers FFQ (EAT FFQ) for children, used in the Growing Up Milk–Lite (GUMLi) randomised controlled trial. British Journal of Nutrition, 125(2), 183–193. https://doi.org/10.1017/S0007114520002664

Thompson, F. E., & Byers, T. (1994). Dietary Assessment Resource Manual. Journal of Nutrition, 124(suppl_11), 2245S–2317S.

Subar, A. F., Kirkpatrick, S. I., Mittl, B., Zimmerman, T. P., Thompson, F. E., Bingley, C., et al. (2012). The Automated Self-Administered 24-Hour Dietary Recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute. Journal of the Academy of Nutrition and Dietetics, 112(8), 1134–1137. https://doi.org/10.1016/j.jand.2012.04.016

Health Canada. (2017). Reference Guide to Understanding and Using the Data: 2015 Canadian Community Health Survey—Nutrition. Retrieved from https://deslibris.ca/ID/10093153

Kirkpatrick, S. I., Gilsing, A. M., Hobin, E., Solbak, N. M., Wallace, A., Haines, J., et al. (2017). Lessons from Studies to Evaluate an Online 24-Hour Recall for Use with Children and Adults in Canada. Nutrients, 9(2).

Bekelman, T. A., Johnson, S. L., Steinberg, R. I., Martin, C. K., Sauder, K. A., Luckett-Cole, S., Glueck, D. H., Hsia, D. S., Dabelea, D., Smith, P. B., & Newby, K. L. (2022). A qualitative analysis of the remote food photography method and the Automated Self-Administered 24-hour Dietary Assessment Tool for assessing children’s food intake reported by parent proxy. Journal of the Academy of Nutrition and Dietetics, 122(5), 961–973.

Foster, E., & Bradley, J. (2018). Methodological considerations and future insights for 24-hour dietary recall assessment in children. Nutrition Research, 51, 1–1.

Arsenault, J. E., Moursi, M., Olney, D. K., Becquey, E., & Ganaba, R. (2020). Validation of 24-h dietary recall for estimating nutrient intakes and adequacy in adolescents in Burkina Faso. Maternal & Child Nutrition, 16(4), e13014.

National Cancer Institute. (n.d.). Automated Self-Administered 24-Hour (ASA24®) Dietary Assessment Tool - Epidemiology & Genomics Research Program. Retrieved from https://epi.grants.cancer.gov/asa24/

Krehbiel, C. F., DuPaul, G. J., & Hoffman, J. A. (2017). A validation study of the automated self-administered 24-hour dietary recall for children, 2014 version, at school lunch. Journal of the Academy of Nutrition and Dietetics, 117(5), 715–724.

Diep, C. S., Hingle, M., Chen, T. A., Dadabhoy, H. R., Beltran, A., Baranowski, J., Subar, A. F., & Baranowski, T. (2015). A validation study of the Automated Self-Administered 24-Hour Dietary Recall for Children (ASA24-Kids) among 9 to 11-year-old youth. Journal of the Academy of Nutrition and Dietetics, 115(10), 1591.

ClinicalTrials.gov. (n.d.). Early Childhood Dietary Assessment Study (NCT07227272). Retrieved from https://clinicaltrials.gov/study/NCT07227272

Kay, M. C., Duffy, E. W., Harnack, L. J., Anater, A. S., Hampton, J. C., Eldridge, A. L., & Story, M. (2021). Development and application of a total diet quality index for toddlers. Nutrients, 13(6), 1943.

Börnhorst, C., Huybrechts, I., Ahrens, W., Eiben, G., Michels, N., Pala, V., Molnár, D., Russo, P., Barba, G., Bel-Serrat, S., & Moreno, L. A. (2013). Prevalence and determinants of misreporting among European children in proxy-reported 24 h dietary recalls. British Journal of Nutrition, 109(7), 1257–1265.

JaBaay, N. R., Nel, N. H., & Comstock, S. S. (2023). Dietary intake by toddlers and preschool children: preliminary results from a Michigan cohort. Children, 10(2), 190.

Bel-Serrat, S., Mouratidou, T., Pala, V., Huybrechts, I., Börnhorst, C., Fernandez-Alvira, J. M., Hadjigeorgiou, C., Eiben, G., Hebestreit, A., Lissner, L., & Molnar, D. (2014). Relative validity of the Children's Eating Habits Questionnaire–food frequency section among young European children: the IDEFICS Study. Public Health Nutrition, 17(2), 266–276.

Ahluwalia, N. (2020). Nutrition monitoring of children aged birth to 24 mo (B-24): Data collection and findings from the NHANES. Advances in Nutrition, 11(1), 113–127.

Sharpe, I., Kirkpatrick, S. I., Smith, B. T., Keown-Stoneman, C. D., Omand, J., Vanderhout, S., Maguire, J. L., Birken, C. S., Anderson, L. N., & TARGet Kids! Collaboration. (2021). Automated Self-Administered 24-H Dietary Assessment Tool (ASA24) recalls for parent proxy-reporting of children’s intake (> 4 years of age): a feasibility study. Pilot and Feasibility Studies, 7(1), 123.

Regber, S., Novak, M., Eiben, G., Lissner, L., Hense, S., Sandström, T. Z., Ahrens, W., & Mårild, S. (2013). Assessment of selection bias in a health survey of children and families–the IDEFICS Sweden-study. BMC Public Health, 13(1), 418.

Kupis, J., Johnson, S., Hallihan, G., & Olstad, D. L. (2019). Assessing the usability of the Automated Self-Administered Dietary Assessment Tool (ASA24) among low-income adults. Nutrients, 11(1).

Ettienne-Gittens, R., Boushey, C. J., Au, D., Murphy, S. P., Lim, U., & Wilkens, L. (2013). Evaluating the feasibility of utilizing the Automated Self-Administered 24-hour (ASA24) dietary recall in a sample of multiethnic older adults. Procedia Food Science, 2, 134–144. https://doi.org/10.1016/j.profoo.2013.04.021

Zheng, M., Campbell, K. J., Scanlan, E., & McNaughton, S. A. (2020). Development and evaluation of a food frequency questionnaire for use among young children. PLOS ONE, 15(3), e0230669.

Korkalo, L., Vepsäläinen, H., Ray, C., Skaffari, E., Lehto, R., Hauta-Alus, H. H., Nissinen, K., Meinilä, J., Roos, E., & Erkkola, M. (2019). Parents’ reports of preschoolers’ diets: relative validity of a food frequency questionnaire and dietary patterns. Nutrients, 11(1), 159.

Gibson, R. S., Charrondiere, U. R., & Bell, W. (2017). Measurement errors in dietary assessment using self-reported 24-hour recalls in low-income countries and strategies for their prevention. Advances in Nutrition, 8(6), 980–991.

Beaton, E., Wright, J., Devenish, G., Do, L., & Scott, J. (2018). Relative validity of a 24-h recall in assessing intake of key nutrients in a cohort of Australian toddlers. Nutrients, 10(1), 80.

Bellows, L., McCloskey, M., Clark, L., Thompson, D. A., Bekelman, T. A., Chamberlin, B., & Johnson, S. L. (2018). HEROs: Design of a mixed-methods formative research phase for an ecocultural intervention to promote healthy eating and activity behaviors in rural families with preschoolers. Journal of Nutrition Education and Behavior, 50(7), 736–745.

Watson, E. O., Heath, A. L., Taylor, R. W., Mills, V. C., Barris, A. C., & Skidmore, P. M. (2015). Relative validity and reproducibility of an FFQ to determine nutrient intakes of New Zealand toddlers aged 12–24 months. Public Health Nutrition, 18(18), 3265–3271.

Burrows, T. L., Martin, R. J., & Collins, C. E. (2010). A systematic review of the validity of dietary assessment methods in children when compared with the method of doubly labeled water. Journal of the American Dietetic Association, 110(10), 1501–1510.

Stryker, W. S., Salvini, S., Stampfer, M. J., Sampson, L., Colditz, G. A., & Willett, W. C. (1991). Contributions of Specific Foods to Absolute Intake and between-Person Variation of Nutrient Consumption. Journal of the American Dietetic Association, 91(2), 172–178.

Willett, W. C. (2012). Nutritional Epidemiology. New York: Oxford University Press. https://doi.org/10.1097/EDE.0b013e31825afb0b

DiGuiseppi, C. G., Daniels, J. L., Fallin, D. M., Rosenberg, S. A., Schieve, L. A., Thomas, K. C., et al. (2016). Demographic profile of families and children in the Study to Explore Early Development (SEED): Case-control study of autism spectrum disorder. Disability and Health Journal, 9(3), 544–551.

Noor Hafizah, Y., Ang, L. C., Yap, F., Nurul Najwa, W., Cheah, W. L., Ruzita, A. T., Jumuddin, F. A., Koh, D., Lee, J. A., Essau, C. A., & Reeves, S. (2019). Validity and reliability of a food frequency questionnaire (FFQ) to assess dietary intake of preschool children. International Journal of Environmental Research and Public Health, 16(23), 4722.

New Zealand Institute for Crop & Food Research. (2010). FOODfiles: Data files of the New Zealand Food Composition Database. Retrieved from http://www.foodcomposition.co.nz/foodfiles

Chong, K. M., Chia, A., Budin, N. S., Poh, B. K., Jamil, N. A., Koh, D., Chong, M. F., & Wong, J. E. (2024). Accuracy of a Web-Based Time-Use Diary (MEDAL) in Assessing Children’s Meal Intakes With Food Photography by Parents as Reference: Instrument Validation Study. JMIR Pediatrics and Parenting, 7(1), e53461.

Ji, Y., Plourde, H., Bouzo, V., Kilgour, R. D., & Cohen, T. R. (2020). Validity and usability of a smartphone image-based dietary assessment app compared to 3-day food diaries in assessing dietary intake among Canadian adults: randomized controlled trial. JMIR mHealth and uHealth, 8(9), e16953.

Quested, T. E., Palmer, G., Moreno, L. C., McDermott, C., & Schumacher, K. (2020). Comparing diaries and waste compositional analysis for measuring food waste in the home. Journal of Cleaner Production, 262, 121263.

de Gooijer, F. J., Lasschuijt, M., Wit, R. F., Feskens, E. J., Brouwer-Brolsma, E. M., & Camps, G. (2023). Dietary behavior assessments in children—a mixed-method research exploring the perspective of pediatric dieticians on innovative technologies. Current Developments in Nutrition, 7(6), 100091.

Vijay, A., Mohan, L., Taylor, M. A., Grove, J. I., Valdes, A. M., Aithal, G. P., & Shenoy, K. T. (2020). The evaluation and use of a food frequency questionnaire among the population in Trivandrum, South Kerala, India. Nutrients, 12(2), 383.

Steinemann, N., Grize, L., Ziesemer, K., Kauf, P., Probst-Hensch, N., & Brombach, C. (2017). Relative validation of a food frequency questionnaire to estimate food intake in an adult population. Food & Nutrition Research.

Morino, G. S., Cinelli, G., Di Pietro, I., Papa, V., Spreghini, N., & Manco, M. (2015). NutricheQ Questionnaire assesses the risk of dietary imbalances in toddlers from 1 through 3 years of age. Food & Nutrition Research, 59(1), 29686.

Abdelqader, M., Abdo, S., Jallad, M., Muhtaseb, M., Amerah, S., Azar, Q., Fararjeh, N., Khasawneh, B., Kreshan, F., Obeid, A., & Rawashdeh, M. (2024). Local Validation of NutricheQ, a Study in Jordan. Journal of Comprehensive Pediatrics, 15(1).

Aramouny, E., Sacy, R., Chokr, I., & Joudy, B. (2018). Local Validation Study for NutricheQ Tool in Lebanon. Journal of Comprehensive Pediatrics.

Randall Simpson, J. A., Keller, H. H., Rysdale, L. A., & Beyers, J. E. (2008). Nutrition Screening Tool for Every Preschooler (NutriSTEP™): validation and test–retest reliability of a parent-administered questionnaire assessing nutrition risk of preschoolers. European Journal of Clinical Nutrition, 62(6), 770–780.

Wham, C., Edge, B., & Kruger, R. (2021). Adaptation and reliability of ‘Nutrition Screening Tool for Every Preschooler’ (NutriSTEP) for use as a parent administered questionnaire in New Zealand. Journal of Paediatrics and Child Health, 57(9), 1426–1431.

Randall Simpson, J., Gumbley, J., Whyte, K., Lac, J., Morra, C., Rysdale, L., Turfryer, M., McGibbon, K., Beyers, J., & Keller, H. (2015). Development, reliability, and validity testing of Toddler NutriSTEP: a nutrition risk screening questionnaire for children 18–35 months of age. Applied Physiology, Nutrition, and Metabolism, 40(9), 877–886.

Krijger, A., Schiphof-Godart, L., Elstgeest, L. E. M., van Rossum, C. T. M., Verkaik-Kloosterman, J., Steenbergen, E., et al. (2023). Development and evaluation study of FLY-Kids: a new lifestyle screening tool for young children. European Journal of Pediatrics, 182(10), 4355–4366.

Bell, L. K., Golley, R. K., & Magarey, A. M. (2014). A short food-group-based dietary questionnaire is reliable and valid for assessing toddlers' dietary risk in relatively advantaged samples. British Journal of Nutrition, 112(4), 627–637.

Bell, L. K., Golley, R. K., & Magarey, A. M. (2016). Dietary risk scores of toddlers are associated with nutrient intakes and socio-demographic factors, but not weight status. Nutrition & Dietetics, 73(1), 73–80.

Zimorovat, A., Moghtaderi, F., Amiri, M., Raeisi-Dehkordi, H., Mohyadini, M., Mohammadi, M., Zarei, S., Karimi-Nazari, E., Mirzaei, M., Nadjarzadeh, A., & Salehi-Abargouei, A. (2022). Validity and reproducibility of a semiquantitative multiple-choice food frequency questionnaire in Iranian adults. Food and Nutrition Bulletin, 43(2), 171–188.

Tokudome, Y., Goto, C., Imaeda, N., Hasegawa, T., Kato, R., Hirose, K., Tajima, K., & Tokudome, S. (2005). Relative validity of a short food frequency questionnaire for assessing nutrient intake versus three-day weighed diet records in middle-aged Japanese. Journal of Epidemiology, 15(4), 135–145.

Bailey, R. L. (2021). Overview of dietary assessment methods for measuring intakes of foods, beverages, and dietary supplements in research studies. Current Opinion in Biotechnology, 70, 91–96.

O’Leary, A., Lahey, T., Lovato, J., Loftness, B., Douglas, A., Skelton, J., Cohen, J. G., Copeland, W. E., McGinnis, R. S., & McGinnis, E. W. (2024). Using wearable digital devices to screen children for mental health conditions: ethical promises and challenges. Sensors, 24(10), 3214.

Spiliotopoulou, G. (2009). Reliability reconsidered: Cronbach's alpha and paediatric assessment in occupational therapy. Australian Occupational Therapy Journal, 56(3), 150–155.

Reber, E., Gomes, F., Vasiloglou, M. F., Schuetz, P., & Stanga, Z. (2019). Nutritional risk screening and assessment. Journal of Clinical Medicine, 8(7), 1065. https://doi.org/10.3390/jcm8071065

Arimond, M., & Flax, V. L. (2025). Progress in improving low-cost measurement of feeding behaviors and diets. Current Developments in Nutrition, 9, 104503.

Koning, M., de Jong, A., de Jong, E., Visscher, T. L., Seidell, J. C., & Renders, C. M. (2018). Agreement between parent and child report of physical activity, sedentary and dietary behaviours in 9-12-year-old children and associations with children’s weight status. BMC Psychology, 6(1), 14.

Nguyen, P. H., Tran, L. M., Hoang, N. T., Trương, D. T., Tran, T. H., Huynh, P. N., Koch, B., McCloskey, P., Gangupantulu, R., Folson, G., & Bannerman, B. (2022). Relative validity of a mobile AI-technology–assisted dietary assessment in adolescent females in Vietnam. The American Journal of Clinical Nutrition, 116(4), 992–1001.

Ortega, R. M., Pérez-Rodrigo, C., & López-Sobaler, A. M. (2015). Dietary assessment methods: dietary records. Nutricion Hospitalaria, 31(3), 38–45.

Naska, A., Lagiou, A., & Lagiou, P. (2017). Dietary assessment methods in epidemiological research: current state of the art and future prospects. F1000Research, 6, 926.

Skinner, A., Toumpakari, Z., Stone, C., & Johnson, L. (2020). Future directions for integrative objective assessment of eating using wearable sensing technology. Frontiers in Nutrition, 7, 80.

Harmouche-Karaki, M., Mahfouz, M., Obeyd, J., Salameh, P., Mahfouz, Y., Helou, K. (2020). Development and validation of a quantitative food frequency questionnaire to assess dietary intake among Lebanese adults. Nutrition Journal, 19(1), 65.

Cui, Q., Xia, Y., Wu, Q., Chang, Q., Niu, K., & Zhao, Y. (2021). Validity of the food frequency questionnaire for adults in nutritional epidemiological studies: A systematic review and meta-analysis. Critical Reviews in Food Science and Nutrition, 63, 1670–1688. https://doi.org/10.1080/10408398.2021.1966737

Fachal, C. V., Fernández-González, S. M., Moreno-Álvarez, A., & Solar-Boga, A. (2025). Nutritional Screening Tools in the Pediatric Population: A Systematic Review. Nutrients, 17(3), 433.

Krijger, A., Ter Borg, S., Elstgeest, L., van Rossum, C., Verkaik-Kloosterman, J., Steenbergen, E., Raat, H., & Joosten, K. (2022). Lifestyle screening tools for children in the community setting: a systematic review. Nutrients, 14(14), 2899.

Cortés-Aguilar, R., Malih, N., Abbate, M., Fresneda, S., Yanez, A., & Bennasar-Veny, M. (2024). Validity of nutrition screening tools for risk of malnutrition among hospitalized adult patients: A systematic review and meta-analysis. Clinical Nutrition, 43(5), 1094–116.

Varghese, V., Cepni, A., Chang, J., Kim, H., Moran, N., & Ledoux, T. (2023). Skin Carotenoids Measured by Reflection Spectroscopy Correlate with Dietary Carotenoid Intake in Racially and Ethnically Diverse US Toddlers from Houston, Texas. Journal of the Academy of Nutrition and Dietetics. https://doi.org/10.1016/j.jand.2023.10.015

Lo, F. P., Sun, Y., Qiu, J., & Lo, B. (2020). Image-based food classification and volume estimation for dietary assessment: A review. IEEE Journal of Biomedical and Health Informatics, 24(7), 1926–1939.

Zheng, J., Wang, J., Shen, J., & An, R. (2023). Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review. Journal of Medical Internet Research, 26. https://doi.org/10.2196/54557

Porter, A., Langford, R., Summerbell, C., Tinner, L., & Kipping, R. (2023). A qualitative exploration of food portion size practices and awareness of food portion size guidance in first-time parents of one-to two-year-olds living in the UK. BMC Public Health, 23(1), 1779.

Vidal, L., Brunet, G., Girona, A., Machín, L., Curutchet, M. R., de León, C., & Ares, G. (2024). ‘It's not something I really think about’: Parents' perspectives and practices about how much food to offer in early childhood. Journal of Sensory Studies, 39(3), e12917.

Kairey, L., Matvienko-Sikar, K., Kelly, C., McKinley, M. C., O'Connor, E. M., Kearney, P. M., Woodside, J. V., & Harrington, J. M. (2018). Plating up appropriate portion sizes for children: a systematic review of parental food and beverage portioning practices. Obesity Reviews, 19(12), 1667–1678.

Bellows, L., Lou, Y., Nelson, R., Reyes, L., Brown, R., Mena, N., & Boles, R. (2022). A Narrative Review of Dietary Assessment Tools for Preschool-Aged Children in the Home Environment. Nutrients, 14(22), 4793. https://doi.org/10.3390/nu14224793

Johnson, S. L., Goodell, L. S., Williams, K., Power, T. G., & Hughes, S. O. (2015). Getting my child to eat the right amount: Mothers' considerations when deciding how much food to offer their child at a meal. Appetite, 88, 24–32.

Foster, E., Hawkins, A., Barton, K. L., Stamp, E., Matthews, J. N., & Adamson, A. J. (2017). Development of food photographs for use with children aged 18 months to 16 years: Comparison against weighed food diaries–The Young Person’s Food Atlas (UK). PLOS ONE, 12(2), e0169084.

Serón-Arbeloa, C., Labarta-Monzón, L., Puzo-Foncillas, J., Mallor-Bonet, T., Lafita-López, A., Bueno-Vidales, N., & Montoro-Huguet, M. (2022). Malnutrition screening and assessment. Nutrients, 14(12), 2392.

Han, W., Koo, J., Lim, Y., Iyer, P., Ong, C., Tong, J., & Chan, M. (2021). Implementation of a nutrition screening tool to improve nutritional status of children with cancer in Singapore’s largest paediatric hospital. BMJ Open Quality, 10. https://doi.org/10.1136/bmjoq-2020-000944

Gibbons H, McNulty BA, Rice N, Gibney MJ, Nugent AP. (2012). Validation and reliability of the preschooler's nutrition screening tool; NutricheQ. Proceedings of the Nutrition Society. 71(OCE3):E245.