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Journal articles on the topic 'Dietary Assessment'

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Published: 4 June 2021

Last updated: 26 July 2025

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1

Hock, KhorBan, Dina Tallman, Deepinder Kaur, Zulfitri'Azuan Mat Daud, Pramod Khosla, and Tilakavati Karupaiah. "Dietary assessment methods." Journal of Renal Nutrition and Metabolism 3, no. 1 (2018): 8. http://dx.doi.org/10.4103/2395-1540.232539.

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2

Walton, Janette. "Dietary Assessment Methodology for Nutritional Assessment." Topics in Clinical Nutrition 30, no. 1 (2015): 33–46. http://dx.doi.org/10.1097/tin.0000000000000018.

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3

Murai, Utako, Ryoko Tajima, Mai Matsumoto, et al. "Validation of Dietary Intake Estimated by Web-Based Dietary Assessment Methods and Usability Using Dietary Records or 24-h Dietary Recalls: A Scoping Review." Nutrients 15, no. 8 (2023): 1816. http://dx.doi.org/10.3390/nu15081816.

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The goal was to summarize studies comparing the accuracy of web-based dietary assessments with those of conventional face-to-face or paper-based assessments using 24-h dietary recall or dietary record methods in the general population. Using two databases, mean differences and correlation coefficients (CCs) for intakes of energy, macronutrients, sodium, vegetables, and fruits were extracted from each study independently by the authors. We also collected information regarding usability from articles reporting this. From 17 articles included in this review, the mean dietary intake differences in

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4

Pope, J. F., A. E. Hunt, and C. Holt. "Assessment of Dietary Fat." Journal of the American Dietetic Association 96, no. 9 (1996): A79. http://dx.doi.org/10.1016/s0002-8223(96)00588-3.

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5

Wenhold, Friedeburg AM. "Technology in dietary assessment." Public Health Nutrition 21, no. 2 (2017): 257–59. http://dx.doi.org/10.1017/s1368980017002841.

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6

KUBENA, KAREN S. "Accuracy in Dietary Assessment." Journal of the American Dietetic Association 100, no. 7 (2000): 775–76. http://dx.doi.org/10.1016/s0002-8223(00)00226-1.

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7

Watzl, Bernhard, and Gerhard Rechkemmer. "Validity of dietary assessment." American Journal of Clinical Nutrition 74, no. 2 (2001): 273. http://dx.doi.org/10.1093/ajcn/74.2.273.

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8

Subar, Amy F. "Developing dietary assessment tools." Journal of the American Dietetic Association 104, no. 5 (2004): 769–70. http://dx.doi.org/10.1016/j.jada.2004.02.007.

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9

Thompson, Frances E., and Tim Byers. "Dietary Assessment Resource Manual." Journal of Nutrition 124 (November 1994): 2245s—2317s. https://doi.org/10.1093/jn/124.suppl_11.2245s.

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10

Murphy, Suzanne P., and Mary I. Poos. "Dietary Reference Intakes: summary of applications in dietary assessment." Public Health Nutrition 5, no. 6a (2002): 843–49. http://dx.doi.org/10.1079/phn2002389.

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AbstractObjective:To summarise the applications and appropriate use of Dietary Reference Intakes (DRIs) as guidance for nutrition and health research professionals in the dietary assessment of groups and individuals.Design:Key points from the Institute of Medicine report, Dietary Reference Intakes: Applications in Dietary Assessment, are summarised in this paper. The different approaches for using DRIs to evaluate the intakes of groups vs. the intakes of individuals are highlighted.Results:Each of the new DRIs is defined and its role in the dietary assessment of groups and individuals is descr

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11

Dao, Maria Carlota, Amy F. Subar, Marisol Warthon-Medina, et al. "Dietary assessment toolkits: an overview." Public Health Nutrition 22, no. 3 (2018): 404–18. http://dx.doi.org/10.1017/s1368980018002951.

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AbstractObjectiveA wide variety of methods are available to assess dietary intake, each one with different strengths and weaknesses. Researchers face multiple challenges when diet and nutrition need to be accurately assessed, particularly in the selection of the most appropriate dietary assessment method for their study. The goal of the current collaborative work is to present a collection of available resources for dietary assessment implementation.Design/Setting/ParticipantsAs a follow-up to the 9th International Conference on Diet and Physical Activity Methods held in 2015, developers of di

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12

Vanham, Davy. "Water Resources for Sustainable Healthy Diets: State of the Art and Outlook." Water 12, no. 11 (2020): 3224. http://dx.doi.org/10.3390/w12113224.

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Sustainable healthy diets are high on the research and policy agendas. One of the crucial resources to provide such diets are water resources. This paper provides a brief overview of the current research state regarding this topic, with a focus on the water footprint concept, as latter quantifies water use along a supply chain. The water footprint (WF) quantifies blue and green water consumption, as both these water resources are essential for food and energy production as well as for the environment. Different kinds of information are embedded in a dietary WF and different data sources and mo

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13

Nayak, Ajanta. "Dietary Assessment of the Gadaba Tribal Children from Koraput, Odisha." International Journal of Science and Research (IJSR) 11, no. 2 (2022): 832–38. http://dx.doi.org/10.21275/sr22218012458.

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14

Wirfält, Elisabeth. "Cognitive aspects of dietary assessment." Näringsforskning 42, no. 1 (1998): 56–59. http://dx.doi.org/10.3402/fnr.v42i0.1762.

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15

Nelson, Michael. "Checklist for Dietary Assessment Methods." Annals of Internal Medicine 118, no. 11 (1993): 908. http://dx.doi.org/10.7326/0003-4819-118-11-199306010-00022.

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16

Hertzler, Ann A., and Robert B. Frary. "Dietary guidelines - a self-assessment." Journal of Consumer Studies and Home Economics 23, no. 3 (1999): 155–60. http://dx.doi.org/10.1046/j.1365-2737.1999.00094.x.

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17

Kohlmeier, L. "Future of dietary exposure assessment." American Journal of Clinical Nutrition 61, no. 3 (1995): 702S—709S. http://dx.doi.org/10.1093/ajcn/61.3.702s.

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18

de Vries, J. H., J. Burema, and W. A. van Staveren. "Validation of dietary assessment methods." American Journal of Clinical Nutrition 65, no. 1 (1997): 169. http://dx.doi.org/10.1093/ajcn/65.1.169.

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19

Nelson, Michael, Barrie M. Margetts, and Alison E. Black. "Descriptions of dietary assessment methods." Journal of Pediatrics 122, no. 6 (1993): 989. http://dx.doi.org/10.1016/s0022-3476(09)90034-8.

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20

Black, Alison E. "Dietary assessment for sports dietetics." Nutrition Bulletin 26, no. 1 (2001): 29–42. http://dx.doi.org/10.1046/j.1467-3010.2001.00096.x.

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21

Windus, Janelle L., Samantha J. Stewart, Marc T. P. Adam, et al. "Exploring Dietary Assessment Methods Used to Measure Individual Dietary Intakes in Low- and Middle-Income Countries and Under-Served Populations in High-Income Countries." Nutrients 17, no. 2 (2025): 360. https://doi.org/10.3390/nu17020360.

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Background/Objectives: For low- and middle- income country (LMIC) settings, a global nutrition transition is rapidly emerging as diets shift, resulting in a dual burden of malnutrition. High quality dietary intake data for these populations is essential to understand dietary patterns contributing to these nutrition issues. New technology is emerging to address dietary assessment challenges; however, it is unknown how researchers conducting studies with LMIC populations or under-served groups in high-income countries adopt technology-assisted methods. This study aimed to describe the features o

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22

T, Ahammed. "Dietary Assessment Methods in Surveillance Systems Targeted to Adults: A Literature Review." Food Science & Nutrition Technology 9, no. 1 (2024): 1–4. http://dx.doi.org/10.23880/fsnt-16000333.

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Accurate and reliable evaluation of dietary consumption is essential for understanding individual dietary profiles. Proper dietary practices should provide sufficient amounts of both macronutrients and micronutrients for leading a healthy life. Choosing the best dietary assessment method for a certain objective leads to greater evidence for effective nutrition projects, policies, and programs. This review provides a clear understanding of dietary diversity assessment methods and the problems associated with choosing the best method. The resource guide aims to improve the quality and accuracy o

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23

Ngo, Joy, Anouk Engelen, Marja Molag, Joni Roesle, Purificación García-Segovia, and Lluís Serra-Majem. "A review of the use of information and communication technologies for dietary assessment." British Journal of Nutrition 101, S2 (2009): S102—S112. http://dx.doi.org/10.1017/s0007114509990638.

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Presently used dietary-assessment methods often present difficulties for researchers and respondents, and misreporting errors are common. Methods using information and communication technologies (ICT) may improve quality and accuracy. The present paper presents a systematic literature review describing studies applying ICT to dietary assessment. Eligible papers published between January 1995 and February 2008 were classified into four assessment categories: computerised assessment; personal digital assistants (PDA); digital photography; smart cards. Computerised assessments comprise frequency

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24

Barr, Susan I. "Applications of Dietary Reference Intakes in dietary assessment and planning." Applied Physiology, Nutrition, and Metabolism 31, no. 1 (2006): 66–73. http://dx.doi.org/10.1139/h05-020.

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Dietary Reference Intakes (DRIs) are used for assessing and planning diets of individuals and groups. Assessing individual intakes is complicated by the fact that neither the individual's usual nutrient intake nor their individual requirement is known. However, the degree of confidence that intakes are adequate or excessive can be estimated. Assessing diets of groups requires information on the group's usual nutrient intake distribution, which can be obtained by statistically adjusting 1 d intake distributions to remove within-person variability. For most nutrients with an Estimated Average Re

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25

Boushey, C. J., M. Spoden, F. M. Zhu, E. J. Delp, and D. A. Kerr. "New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods." Proceedings of the Nutrition Society 76, no. 3 (2016): 283–94. http://dx.doi.org/10.1017/s0029665116002913.

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For nutrition practitioners and researchers, assessing dietary intake of children and adults with a high level of accuracy continues to be a challenge. Developments in mobile technologies have created a role for images in the assessment of dietary intake. The objective of this review was to examine peer-reviewed published papers covering development, evaluation and/or validation of image-assisted or image-based dietary assessment methods from December 2013 to January 2016. Images taken with handheld devices or wearable cameras have been used to assist traditional dietary assessment methods for

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26

Faurot, Keturah R., Anna Maria Siega-Riz, Paula Gardiner, et al. "Comparison of a Medication Inventory and a Dietary Supplement Interview in Assessing Dietary Supplement Use in the Hispanic Community Health Study/Study of Latinos." Integrative Medicine Insights 11 (January 2016): IMI.S25587. http://dx.doi.org/10.4137/imi.s25587.

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Although dietary supplement use is common, its assessment is challenging, especially among ethnic minority populations such as Hispanics/Latinos. Using the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) (n = 16,415), this report compares two strategies for capturing dietary supplement use over a 30-day period: a medication-based inventory and a nutrition-based dietary supplement interview. Age-standardized prevalence was calculated across multiple dietary supplement definitions, adjusted with survey/nonresponse weights. The prevalence of dietary supplement use was substantially hi

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27

B.P.Sudha, B. P. Sudha. "Assessment of Dietary Behavior Among 10-12 Years old School Children." Global Journal For Research Analysis 3, no. 2 (2012): 83–84. http://dx.doi.org/10.15373/22778160/february2014/26.

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28

Forster, Hannah, Marianne C. Walsh, Michael J. Gibney, Lorraine Brennan, and Eileen R. Gibney. "Personalised nutrition: the role of new dietary assessment methods." Proceedings of the Nutrition Society 75, no. 1 (2015): 96–105. http://dx.doi.org/10.1017/s0029665115002086.

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Food records or diaries, dietary recalls and FFQ are methods traditionally used to measure dietary intake; however, advancing technologies and growing awareness in personalised health have heightened interest in the application of new technologies to assess dietary intake. Dietary intake data can be used in epidemiology, dietary interventions and in the delivery of personalised nutrition advice. Compared with traditional dietary assessment methods, new technologies have many advantages, including their ability to automatically process data and provide personalised dietary feedback advice. This

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29

Larimore, Walter L., and Dónal P. O'Mathúna. "Quality Assessment Programs for Dietary Supplements." Annals of Pharmacotherapy 37, no. 6 (2003): 893–98. http://dx.doi.org/10.1345/aph.1d031.

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BACKGROUND: In the US, consumers and healthcare professionals have been forced to depend on self-regulation by the dietary supplement industry for product quality, consistency, potency, and purity, a system that has yielded mixed results at best. OBJECTIVE: To characterize the current state of product quality verification in the dietary supplement industry and review recent developments and future plans to improve supplement safety and regulation. METHODS: Studies describing the quality of dietary supplements are reviewed, along with recent Food and Drug Administration (FDA) plans to improve s

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30

Moshfegh, Alanna J., Donna G. Rhodes, and Carrie L. Martin. "National Food Intake Assessment: Technologies to Advance Traditional Methods." Annual Review of Nutrition 42, no. 1 (2022): 401–22. http://dx.doi.org/10.1146/annurev-nutr-062320-110636.

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National dietary surveillance produces dietary intake data used for various purposes including development and evaluation of national policies in food and nutrition. Since 2000, What We Eat in America, the dietary component of the National Health and Nutrition Examination Survey, has collected dietary data and reported on the dietary intake of the US population. Continual innovations are required to improve methods of data collection, quality, and relevance. This review article evaluates the strengths and limitations of current and newer methods in national dietary data collection, underscorin

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31

Bobokhidze, Eka, Michelle Weech, Katerina Petropoulou, et al. "Standardised and Objective Dietary Intake Assessment Tool (SODIAT): Protocol of a dual-site dietary intervention study to integrate dietary assessment methods." F1000Research 13 (October 7, 2024): 1144. http://dx.doi.org/10.12688/f1000research.155683.1.

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Introduction Current dietary assessment methods face challenges in accurately capturing individuals’ dietary habits, undermining the efficacy of public health strategies. The ‘Standardised and Objective Dietary Intake Assessment Tool’ (SODIAT)-1 study aims to assess the effectiveness of three emerging technologies (urine and capillary blood biomarkers, and wearable camera technology) and two online self-reporting dietary assessment tools to monitor dietary intake. Methods This randomised controlled crossover trial will recruit 30 participants (aged 18-70 years and BMI of 20-30 kg/m2) from Impe

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32

Bobokhidze, Eka, Michelle Weech, Katerina Petropoulou, et al. "Standardised and Objective Dietary Intake Assessment Tool (SODIAT): Protocol of a dual-site dietary intervention study to integrate dietary assessment methods." F1000Research 13 (March 31, 2025): 1144. https://doi.org/10.12688/f1000research.155683.2.

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Introduction Current dietary assessment methods struggle to accurately capture individuals’ dietary habits. The ‘Standardised and Objective Dietary Intake Assessment Tool’ (SODIAT)-1 study aims to assess the effectiveness of three emerging technologies (urine and capillary blood biomarkers, wearable camera technology) and two online self-reporting dietary assessment tools to monitor dietary intake. Methods This randomised controlled crossover trial was conducted at two sites (Hammersmith Hospital and the University of Reading) and aimed to recruit 30 UK participants (aged 18-70 years, BMI 20-3

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33

Kim, Jeong-Weon. "Sustainability Assessment of Korean Dietary Patterns." Korean Association of Practical Arts Education 33, no. 4 (2020): 137–55. http://dx.doi.org/10.24062/kpae.2020.33.4.137.

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34

Kim, Jeong-Weon. "Sustainability Assessment of Korean Dietary Patterns." Korean Association of Practical Arts Education 33, no. 4 (2020): 137–55. http://dx.doi.org/10.24062/kpae.2020.33.4.137.

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35

Volkert, Dorothee, and Eva Schrader. "Dietary assessment methods for older persons." Current Opinion in Clinical Nutrition and Metabolic Care 16, no. 5 (2013): 534–40. http://dx.doi.org/10.1097/mco.0b013e328363c8d1.

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36

Nordblad, Mikaela, Fiona Graham, M. Zulf Mughal, and Raja Padidela. "Rapid assessment of dietary calcium intake." Archives of Disease in Childhood 101, no. 7 (2015): 634–36. http://dx.doi.org/10.1136/archdischild-2015-308905.

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37

Hongu, Nobuko, Melanie D. Hingle, Nirav C. Merchant, et al. "Dietary Assessment Tools Using Mobile Technology." Topics in Clinical Nutrition 26, no. 4 (2011): 300–311. http://dx.doi.org/10.1097/tin.0b013e3182379525.

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38

Dwyer, J. "The School Nutrition Dietary Assessment Study." American Journal of Clinical Nutrition 61, no. 1 (1995): 173S—177S. http://dx.doi.org/10.1093/ajcn/61.1.173s.

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39

Mathewson, Alastair M., Denis Fouque, and Alex J. Toft. "Dietary Phosphate Assessment in Dialysis Patients." Journal of Renal Nutrition 20, no. 6 (2010): 351–58. http://dx.doi.org/10.1053/j.jrn.2010.05.014.

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40

Sirota, Lorraine Handler. "PAT: A personal dietary assessment tool." Journal of Nutrition Education 25, no. 2 (1993): 100C—101C. http://dx.doi.org/10.1016/s0022-3182(12)80997-6.

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41

Marks, Geoffrey C., Wayne T. Smith, Philip W. J. Harvey, Elizabeth K. Stickney, Karen L. Webb, and Peter Heywood. "Dietary assessment-where is it going?" Australian Journal of Public Health 17, no. 2 (2010): 174–75. http://dx.doi.org/10.1111/j.1753-6405.1993.tb00129.x.

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42

Block, Gladys. "Human dietary assessment: Methods and issues." Preventive Medicine 18, no. 5 (1989): 653–60. http://dx.doi.org/10.1016/0091-7435(89)90036-4.

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43

Hall, Rick. "Including Dietary Supplements in Nutrition Assessment." Journal of the American Dietetic Association 105, no. 11 (2005): 1756–57. http://dx.doi.org/10.1016/j.jada.2005.09.025.

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44

Wheeler, Madelyn L., and I. Marilyn Buzzard. "How to report dietary assessment data." Journal of the American Dietetic Association 94, no. 11 (1994): 1255–56. http://dx.doi.org/10.1016/0002-8223(94)92454-6.

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45

Kuhnle, Gunter GC. "Nutritional biomarkers for objective dietary assessment." Journal of the Science of Food and Agriculture 92, no. 6 (2012): 1145–49. http://dx.doi.org/10.1002/jsfa.5631.

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46

Kirkpatrick, Sharon I., Jill Reedy, Eboneé N. Butler, et al. "Dietary Assessment in Food Environment Research." American Journal of Preventive Medicine 46, no. 1 (2014): 94–102. http://dx.doi.org/10.1016/j.amepre.2013.08.015.

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47

Herrick, Kirsten A., Christie Kaefer, Amelia M. Willits-Smith, Edwina A. Wambogo, Lisa Kahle, and Jill Reedy. "NIH’s Continued Investment in Dietary Assessment." Current Developments in Nutrition 9 (May 2025): 107032. https://doi.org/10.1016/j.cdnut.2025.107032.

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48

Bose, Mousumi, Nancy L. von Thun, Adrian L. Kerrihard, et al. "Comparison of Caregiver-Reported Dietary Intake Methods in Zellweger Spectrum Disorder." Nutrients 17, no. 6 (2025): 989. https://doi.org/10.3390/nu17060989.

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Background/Objectives: Zellweger spectrum disorder (ZSD), a rare genetic disease characterized by defects in peroxisome biogenesis, results in dysfunction of all organ systems, including feeding difficulties, gastrointestinal bleeding, and reduced overall growth. Despite this nutritional impact, no published studies have assessed dietary intake in ZSD. The purpose of this study was to determine nutrient intake in individuals with ZSD or a related peroxisomal disorder using two methods of dietary assessment as provided by family caregivers. Methods: Family caregivers participated in multiple 24

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49

Colquhoun, David, Susan Anderson, and Phillip Barter. "Turning dietary policy into dietary practice — assessment of a dietary model to improve eating patterns." Heart, Lung and Circulation 12, no. 2 (2003): A65. http://dx.doi.org/10.1046/j.1443-9506.2003.02587.x.

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50

Guasch-Ferré, Marta, Shilpa N. Bhupathiraju, and Frank B. Hu. "Use of Metabolomics in Improving Assessment of Dietary Intake." Clinical Chemistry 64, no. 1 (2018): 82–98. http://dx.doi.org/10.1373/clinchem.2017.272344.

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Abstract BACKGROUND Nutritional metabolomics is rapidly evolving to integrate nutrition with complex metabolomics data to discover new biomarkers of nutritional exposure and status. CONTENT The purpose of this review is to provide a broad overview of the measurement techniques, study designs, and statistical approaches used in nutrition metabolomics, as well as to describe the current knowledge from epidemiologic studies identifying metabolite profiles associated with the intake of individual nutrients, foods, and dietary patterns. SUMMARY A wide range of technologies, databases, and computati

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