Relevant bibliographies by topics / Dietary Assessment

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Dietary Assessment'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Dietary Assessment"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Dietary Assessment"

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Chatterjee, Ayona. "Probabilistic risk assessment of dietary data." Thesis, University of Edinburgh, 2005. http://hdl.handle.net/1842/14388.

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Until recently, deterministic methods have been used to estimate food risk. These methods give one risk estimate for the whole population, mostly ignore the variability in the consumption data and produce unrealistic results. Recently there has been an increase in the use of probabilistic models for food risk assessment. Some of these probabilistic models are purely based on empirical distributions and others on probability models in a frequentist or Bayesian framework. In this thesis we improve on existing Bayesian models for food consumption data collected on successive days, and propose pos
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Albar, Salwa Ali A. "Improvement of dietary assessment among adolescents." Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/13401/.

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Background: Collecting information on food and dietary intake provides valuable insights into the associations between diet and health and helps to evaluate the impact of intervention programmes. Measuring dietary intake is challenging, particular when adolescents are the target group. Errors associated with the quantification of food portion size (FPS) are the most common errors to arise when assessing dietary intake. Aims: To improve the measurement of adolescents’ dietary intake by investigating certain variables related to adolescents’ FPSs, and developing and validating an online 24-hour
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París, Pombo Alicia. "Assessment of dietary exposure to polychlorinated biphenyls." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ37974.pdf.

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Schumacher, Sandra. "Assessment of the genotoxicity of dietary acrylamide." Thesis, University of Leicester, 2014. http://hdl.handle.net/2381/28807.

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The identification of the chemical acrylamide (AA) in food was followed by intense research which led to the discovery that AA forms in starch-rich foodstuff when roasted, fried and baked, due to the reaction of the amino acid asparagine and reducing sugars. Animal studies have shown the carcinogenic effect of AA leading to tumours in multiple sites and in 1994 the IARC classified AA as a probable human carcinogen. After ingestion AA is metabolised to the reactive epoxide glycidamide (GA) that is able to react with bio-macromolecules such as DNA and haemoglobin (Hb). Three major DNA adducts of
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Wong, Hie Ling. "Assessment of non-dietary, human exposure to pesticides." Thesis, University of York, 2018. http://etheses.whiterose.ac.uk/21539/.

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Assessment of non-dietary, human exposure to pesticides is an integral part of pesticide authorisation at the EU level. In this thesis, models were used to predict exposure of vulnerable human sub-populations to pesticides and thus to assess risks to health. Two high-quality pesticide usage datasets previously collected by Fera Science Ltd. and for EFSA were analysed. Trends in pesticide usage and major drivers of exposure and thus risk were identified, including any implications for regulatory procedures over the period investigated. Residential exposure of pregnant women living at 100 and 10
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Mouratidou, Theodora. "Dietary assessment of pregnant women in Sheffield, UK." Thesis, University of Sheffield, 2007. http://etheses.whiterose.ac.uk/12851/.

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As a part of an on-going project to develop a dietary risk assessment tool for low income pregnant women, we evaluated the performance of a modified version of an existing semi-quantified food frequency questionnaire (FFQ) in terms of validity and assessed the nutrient intakes of a sample of English speaking, Caucasian pregnant women living in economically deprived and non-deprived electoral wards of Sheffield. Two statistical techniques were also applied to on energy-adjusted data for identification of discriminatory food items among women living in economically deprived wards. A critical ass
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Parker, Molly Kathryn. "The Development and Evaluation of the Healthy Beverage Index for U.S. Children and Adolescents." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/101748.

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Childhood (ages 2-9 years) and adolescence (ages 10-19 years) make up important periods of human life. Food preferences and dietary behaviors are developing during this time, and health status can impact noncommunicable disease (NCD) risk in adulthood. Many of the behaviors associated with developing NCD are modifiable and include dietary behaviors. Globally, children and adolescents are impacted by NCD, and obesity prevalence is growing among this population. One of the recommendations for combating obesity is to promote the consumption of healthy foods and beverages and the reduction of suga
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Ojo, Omorogieva. "Protein deficiency in children - a physio-biochemical assessment." Thesis, University of Greenwich, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245484.

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Ashkanani, Fatemah. "Portion sizes and dietary assessment methods for South Asian children." Thesis, University of Leeds, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.659024.

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The South Asian population is the largest minority ethnic . group in the UK. Their diet and food habits depend on their geographical origin, but they can change after migration due to acculturation. It has been observed that South Asians have a higher risk of diet related diseases than white Caucasians. Another observation is that diet during childhood affects health outcomes in adulthood. The main aim of this thesis is to develop and validate dietary assessment methods adapted to South Asian children aged 4-11 years living in the UK and to test the hypothesis that their diets and food habits
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Zipkin, Frida. "Assessment of Manganese Dietary Intake for a Rural Pediatric Population." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1396523208.

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Books on the topic "Dietary Assessment"

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Thompson, Frances E. Dietary assessment resource manual. Journal of nutrition, 1994.

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A, Burghardt John, Devaney Barbara L, and United States. Food and Nutrition Service., eds. School nutrition dietary assessment study. American Society for Clinical Nutrition, 1995.

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Sullivan & Co Freeman. WIC dietary assessment validation study: Final report. U.S. Dept. of Agriculture, Food and Nutrition Service, 1994.

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Krolski, Michael E., and Curt Lunchick, eds. Non-Dietary Human Exposure and Risk Assessment. American Chemical Society, 2010. http://dx.doi.org/10.1021/bk-2010-1047.

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Schoeller, Dale A., and Margriet S. Westerterp-Plantenga, eds. Advances in the Assessment of Dietary Intake. CRC Press, 2017. http://dx.doi.org/10.1201/9781315152288.

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American Chemical Society. Division of Agrochemicals, ed. Non-dietary human exposure and risk assessment. American Chemical Society, 2010.

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Institute of Medicine (U.S.). Committee on Dietary Risk Assessment in the WIC Program. Dietary risk assessment in the WIC program. National Academy Press, 2002.

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Sullivan & Co Freeman. WIC dietary assessment validation study: Executive summary. U.S. Dept. of Agriculture, Food and Nutrition Service, 1994.

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Jelinek, Charles Frank. Assessment of dietary intake of chemical contaminants. United Nations Environment Programme, 1992.

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Kay, Fox Mary, Abt Associates, and United States. Food and Nutrition Service. Office of Analysis, Nutrition, and Evaluation, eds. School nutrition dietary assessment study-II: Final report. The Office, 2001.

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Book chapters on the topic "Dietary Assessment"

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Haynos, Ann F. "Assessment of Dietary Intake/Dietary Restriction." In Encyclopedia of Feeding and Eating Disorders. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-087-2_158-1.

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Haynos, Ann F. "Assessment of Dietary Intake/Dietary Restriction." In Encyclopedia of Feeding and Eating Disorders. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-287-104-6_158.

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Robertson, Claire E. "Dietary assessment in undernutrition." In Advanced Nutrition and Dietetics in Nutrition Support. John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781118993880.ch2.6.

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Winter, Carl K. "Dietary Pesticide Risk Assessment." In Reviews of Environmental Contamination and Toxicology. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4613-9751-9_2.

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Phillips, P. A. "Dietary Assessment and Therapy." In Diabetes in Elderly People. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-3322-5_5.

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Siener, Roswitha, and Albrecht Hesse. "Dietary Assessment and Advice." In Urinary Tract Stone Disease. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84800-362-0_59.

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Bingham, Sheila A. "The Assessment of Individual Risk from Diet in Large Bowel Cancer Epidemiology." In Dietary Fiber. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2111-8_33.

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Moore, Linda W. "Dietary Assessment in Kidney Disease." In Nutrition in Kidney Disease. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44858-5_7.

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Neuhouser, Marian L. "Dietary Assessment in Behavioral Medicine." In Handbook of Behavioral Medicine. Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-09488-5_4.

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Boobis, Alan R. "Risk Assessment of Dietary Supplements." In Novartis Foundation Symposia. John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470319444.ch2.

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Conference papers on the topic "Dietary Assessment"

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Izbassar, Assylzhan, and Pakizar Shamoi. "Image-Based Dietary Assessment: A Healthy Eating Plate Estimation System." In 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST). IEEE, 2024. http://dx.doi.org/10.1109/sist61555.2024.10629323.

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Chen, Guangzong, Zhi-Hong Mao, Mingui Sun, Kangni Liu, and Wenyan Jia. "Shape-Preserving Generation of Food Images for Automatic Dietary Assessment." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2024. http://dx.doi.org/10.1109/cvprw63382.2024.00376.

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Ghadekar, Premanand, Gita Kolate, Babusha Kolhe, Maitrey Katkar, Rohan Khandare, and Om Khandare. "Multimodal Deep Learning System for Nutritional Deficiency Assessment and Dietary Recommendation." In 2025 3rd International Conference on Communication, Security, and Artificial Intelligence (ICCSAI). IEEE, 2025. https://doi.org/10.1109/iccsai64074.2025.11064727.

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Rosa, Nina, Esther Kok, Els Siebelink, Michelle van Alst, Travis Masterson, and Alexander Klippel. "AReplica: User-Centered Design of an Augmented Reality Portion Size Estimation Tool for Dietary Intake Assessment." In 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2025. https://doi.org/10.1109/vrw66409.2025.00377.

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Zhu, Fengqing, Anand Mariappan, Carol J. Boushey, et al. "Technology-assisted dietary assessment." In Electronic Imaging 2008, edited by Charles A. Bouman, Eric L. Miller, and Ilya Pollak. SPIE, 2008. http://dx.doi.org/10.1117/12.778616.

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Mariappan, Anand, Marc Bosch, Fengqing Zhu, et al. "Personal dietary assessment using mobile devices." In IS&T/SPIE Electronic Imaging, edited by Charles A. Bouman, Eric L. Miller, and Ilya Pollak. SPIE, 2009. http://dx.doi.org/10.1117/12.813556.

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Dehais, Joachim, Marios Anthimopoulos, and Stavroula Mougiakakou. "Food Image Segmentation for Dietary Assessment." In MM '16: ACM Multimedia Conference. ACM, 2016. http://dx.doi.org/10.1145/2986035.2986047.

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Zhu, Fengqing, Marc Bosch, TusaRebecca Schap, et al. "Segmentation assisted food classification for dietary assessment." In IS&T/SPIE Electronic Imaging, edited by Charles A. Bouman, Ilya Pollak, and Patrick J. Wolfe. SPIE, 2011. http://dx.doi.org/10.1117/12.877036.

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Hafiz, Rubaiya, Saiful Islam, Roksana Khanom, and Mohammad Shorif Uddin. "Image based drinks identification for dietary assessment." In 2016 International Workshop on Computational Intelligence (IWCI). IEEE, 2016. http://dx.doi.org/10.1109/iwci.2016.7860364.

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Dehais, J., S. Shevchik, P. Diem, and S. G. Mougiakakou. "Food volume computation for self dietary assessment applications." In 2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2013. http://dx.doi.org/10.1109/bibe.2013.6701615.

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Reports on the topic "Dietary Assessment"

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Trolle, Ellen, Christel Larsson, Christina Berg, Lene Frost Andersen, and Sisse Fagt. Dietary assessment in adolescents. Nordic Council of Ministers, 2015. http://dx.doi.org/10.6027/na2015-914.

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Wirth, James P., Nicolai Petry, Valerie M. Friesen, Fabian Rohner, and Mduduzi NN Mbuya. Simplifying dietary assessment the nutrient specific semi quantitative food frequency questionnaire. Global Alliance for Improved Nutrition (GAIN), 2020. http://dx.doi.org/10.36072/wp.6.

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Gelli, Aulo, Gloria Folson, Odiche Nwabuiku, et al. Computer vision-assisted dietary assessment in youth in urban Ghana: Validity against weighed records and comparison with 24-hour recalls. International Food Policy Research Institute, 2023. http://dx.doi.org/10.2499/p15738coll2.137058.

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Gilbert, Rachel, Todd Benson, and Olivier Ecker. Are Malawian diets changing? An assessment of nutrient consumption and dietary patterns using household-level evidence from 2010/11 and 2016/17. International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/p15738coll2.133522.

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strauss, Bernhard, Samuel Short, and Pantea Lotfian. The Evolution of personalised nutrition. Food Standards Agency, 2023. http://dx.doi.org/10.46756/sci.fsa.ean605.

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Health and wellbeing and susceptibility to disease are causally linked to food and nutrition intake, an observation that has informed dietary advice for centuries. However, physiological response to different food types varies greatly by individual, meaning that a “one size fits all” approach to nutritional advice may be inadequate to ensure optimum health outcomes. Personalised nutrition (PN) services, operating at the intersection between health advisory, the wellness sector, and the food system, seek to address this through individualised targeted dietary advice focused on achieving lasting
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Maycock, Barry, Cath Mulholland, Emma French, and Joseph Shavila. Rapid Risk Assessment: What is the risk from microcystins in the edible flesh of fish caught from Lough Neagh? Food Standards Agency, 2024. http://dx.doi.org/10.46756/sci.fsa.slz868.

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During the Summer and Autumn of 2023, Lough Neagh in Northern Ireland was affected by a cyanobacterial bloom. Testing of water from within the bloom reported high concentrations of one type of cyanobacterial toxin, microcystins. Samples were taken from the Lough of eels, roach, perch, pollan and bream and tested for a range of cyanobacterial toxins, including microcystins, nodularins, anatoxin, cylindrospermopsin and saxitoxin. Each sample comprised 10 fish, and five samples were taken of each species, except for bream for which a single sample was collected. The fish were dissected and the ed
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Zchori-Fein, Einat, Judith K. Brown, and Nurit Katzir. Biocomplexity and Selective modulation of whitefly symbiotic composition. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7591733.bard.

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Whiteflies are sap-sucking insects that harbor obligatory symbiotic bacteria to fulfill their dietary needs, as well as a facultative microbial community with diverse bacterial species. The sweetpotato whitefly Bemisia tabaci (Gennadius) is a severe agricultural pest in many parts of the world. This speciesconsists of several biotypes that have been distinguished largely on the basis of biochemical or molecular diagnostics, but whose biological significance is still unclear. The original objectives of the project were (i) to identify the specific complement of prokaryotic endosymbionts associa
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Gut Reactions: Xenobiotics and the Microbiome Workshop Report London, UK 2024. Food Standards Agency, 2025. https://doi.org/10.46756/sci.fsa.hew928.

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A wide range of substances in the diet come into contact with the intestinal microbial community (the gut microbiome) and therefore have the potential to influence this community and sometimes, in turn, host health. The implications that this has for the assessment of the risks to human health of chemicals and other components of the diet and how this can be determined are currently under debate; as yet there is no clear consensus. In this workshop we set out to explore the complex current state of the science of the microbiome pathophysiology and the possible impact of xenobiotics on host-mic
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