Diet is a major lifestyle-related risk factor of various chronic diseases. Dietary intake can be assessed by subjective report and objective observation. Subjective assessment is possible using open-ended surveys such as dietary recalls or records, or using closed-ended surveys including food frequency questionnaires. Each method has inherent strengths and limitations. Continued efforts to improve the accuracy of dietary intake assessment and enhance its feasibility in epidemiological studies have been made. This article reviews common dietary assessment methods and their feasibility in epidemiological studies.
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Snap‐N‐Send: A valid and reliable method for assessing the energy intake of elite adolescent athletes Nessan Costello, Kevin Deighton, Joshua Dyson, Jim Mckenna, Ben Jones European Journal of Sport Science.2017; 17(8): 1044. CrossRef
The Association between the Mediterranean Dietary Pattern and Cognitive Health: A Systematic Review Yasmine Aridi, Jacqueline Walker, Olivia Wright Nutrients.2017; 9(7): 674. CrossRef
Food security measurement and governance: Assessment of the usefulness of diverse food insecurity indicators for policy makers Rafael Pérez-Escamilla, Muriel B. Gubert, Beatrice Rogers, Amber Hromi-Fiedler Global Food Security.2017; 14: 96. CrossRef
Urbanization, mainly rurality, but not altitude is associated with dyslipidemia profiles Maria Lazo-Porras, Antonio Bernabe-Ortiz, Renato Quispe, German Málaga, Liam Smeeth, Robert H. Gilman, William Checkley, J. Jaime Miranda Journal of Clinical Lipidology.2017; 11(5): 1212. CrossRef
Alcohol drinking patterns and risk of diabetes: a cohort study of 70,551 men and women from the general Danish population Charlotte Holst, Ulrik Becker, Marit E. Jørgensen, Morten Grønbæk, Janne S. Tolstrup Diabetologia.2017; 60(10): 1941. CrossRef
Dietary Food‐Additive Phosphate and Human Health Outcomes Allison Cooke Comprehensive Reviews in Food Science and Food Safety.2017; 16(5): 906. CrossRef
Precision Nutrition: A Review of Personalized Nutritional Approaches for the Prevention and Management of Metabolic Syndrome Juan De Toro-Martín, Benoit Arsenault, Jean-Pierre Després, Marie-Claude Vohl Nutrients.2017; 9(8): 913. CrossRef
Comparison of Australian Recommended Food Score (ARFS) and Plasma Carotenoid Concentrations: A Validation Study in Adults Lee Ashton, Rebecca Williams, Lisa Wood, Tracy Schumacher, Tracy Burrows, Megan Rollo, Kristine Pezdirc, Robin Callister, Clare Collins Nutrients.2017; 9(8): 888. CrossRef
Evidence-based practice within nutrition: what are the barriers for improving the evidence and how can they be dealt with? Martine Laville, Berenice Segrestin, Maud Alligier, Cristina Ruano-Rodríguez, Lluis Serra-Majem, Michael Hiesmayr, Annemie Schols, Carlo La Vecchia, Yves Boirie, Ana Rath, Edmund A. M. Neugebauer, Silvio Garattini, Vittorio Bertele, Christine Kubiak, Jacq Trials.2017;[Epub] CrossRef
Sugar- and Intense-Sweetened Drinks in Australia: A Systematic Review on Cardiometabolic Risk Erin Hoare, Pia Varsamis, Neville Owen, David Dunstan, Garry Jennings, Bronwyn Kingwell Nutrients.2017; 9(10): 1075. CrossRef
Development of a novel six-month nutrition intervention for a randomized trial in older men with mobility limitations Caroline M. Apovian, M.R. Singer, W.W. Campbell, S. Bhasin, A.C. McCarthy, M. Shah, S. Basaria, L.L. Moore The Journal of nutrition, health and aging.2017; 21(10): 1081. CrossRef
Reduction of Portion Size and Eating Rate Is Associated with BMI-SDS Reduction in Overweight and Obese Children and Adolescents: Results on Eating and Nutrition Behaviour from the Observational KgAS Study Gabriel Torbahn, Ines Gellhaus, Benjamin Koch, Rüdiger von Kries, Viola Obermeier, Reinhard W. Holl, Katharina Fink, Andreas van Egmond-Fröhlich Obesity Facts.2017; 10(5): 503. CrossRef
DIET@NET: Best Practice Guidelines for dietary assessment in health research Janet E. Cade, Marisol Warthon-Medina, Salwa Albar, Nisreen A. Alwan, Andrew Ness, Mark Roe, Petra A. Wark, Katharine Greathead, Victoria J. Burley, Paul Finglas, Laura Johnson, Polly Page, Katharine Roberts, Toni Steer, Jozef Hooson, Darren C. Greenwood, BMC Medicine.2017;[Epub] CrossRef
Neonatal Nutrition Predicts Energy Balance in Young Adults Born Preterm at Very Low Birth Weight Hanna-Maria Matinolli, Petteri Hovi, Esko Levälahti, Nina Kaseva, Patricia Silveira, Katri Hemiö, Anna-Liisa Järvenpää, Johan Eriksson, Sture Andersson, Jaana Lindström, Satu Männistö, Eero Kajantie Nutrients.2017; 9(12): 1282. CrossRef
The individual environment, not the family is the most important influence on preferences for common non-alcoholic beverages in adolescence Andrea D. Smith, Alison Fildes, Suzanna Forwood, Lucy Cooke, Clare Llewellyn Scientific Reports.2017;[Epub] CrossRef
Favourable nutrient intake and displacement with long-term walnut supplementation among elderly: results of a randomised trial Edward Bitok, Karen Jaceldo-Siegl, Sujatha Rajaram, Mercè Serra-Mir, Irene Roth, Tania Feitas-Simoes, Emilio Ros, Joan Sabaté British Journal of Nutrition.2017; 118(3): 201. CrossRef
A systematic review of methods to assess intake of fruits and vegetables among healthy European adults and children: a DEDIPAC (DEterminants of DIet and Physical Activity) study Fiona Riordan, Kathleen Ryan, Ivan J Perry, Matthias B Schulze, Lene Frost Andersen, Anouk Geelen, Pieter van’t Veer, Simone Eussen, Pieter Dagnelie, Nicole Wijckmans-Duysens, Janas M Harrington Public Health Nutrition.2017; 20(3): 417. CrossRef
Development of a food atlas for Sri Lankan adults Ranil Jayawardena, Manoja P. Herath BMC Nutrition.2017;[Epub] CrossRef
Paleolithic and Mediterranean Diet Pattern Scores Are Inversely Associated with All-Cause and Cause-Specific Mortality in Adults Kristine A Whalen, Suzanne Judd, Marjorie L McCullough, W Dana Flanders, Terryl J Hartman, Roberd M Bostick The Journal of Nutrition.2017; 147(4): 612. CrossRef
Relative Validity and Reliability of a 1-Week, Semiquantitative Food Frequency Questionnaire for Women Participating in the Supplemental Nutrition Assistance Program Namrata Sanjeevi, Jeanne Freeland-Graves, Goldy Chacko George Journal of the Academy of Nutrition and Dietetics.2017; 117(12): 1972. CrossRef
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Innovative approaches to estimate individual usual dietary intake in large-scale epidemiological studies Johanna Conrad, Ute Nöthlings Proceedings of the Nutrition Society.2017; 76(3): 213. CrossRef
Nutritional supplements use in high-performance athletes is related with lower nutritional inadequacy from food Mónica Sousa, Maria J. Fernandes, Pedro Carvalho, José Soares, Pedro Moreira, Vitor Hugo Teixeira Journal of Sport and Health Science.2016; 5(3): 368. CrossRef
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Energy and macronutrient intakes and adherence to dietary guidelines of infants and toddlers in Belgium Koen Huysentruyt, Dorothée Laire, Tom Van Avondt, Jean De Schepper, Yvan Vandenplas European Journal of Nutrition.2016; 55(4): 1595. CrossRef
Nutritional value of foods sold in vending machines in a UK University: Formative, cross-sectional research to inform an environmental intervention Hanla Park, Angeliki Papadaki Appetite.2016; 96: 517. CrossRef
Sampling strategy for estimating human exposure pathways to consumer chemicals Eleni Papadopoulou, Juan A. Padilla-Sanchez, Chris D. Collins, Ian T. Cousins, Adrian Covaci, Cynthia A. de Wit, Pim E.G. Leonards, Stefan Voorspoels, Cathrine Thomsen, Stuart Harrad, Line S. Haug Emerging Contaminants.2016; 2(1): 26. CrossRef
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Dietary intake patterns of children aged 6 years and their association with socioeconomic and demographic characteristics, early feeding practices and body mass index Leonardo Pozza Santos, Maria Cecília Formoso Assunção, Alicia Matijasevich, Iná S. Santos, Aluísio J. D. Barros BMC Public Health.2016;[Epub] CrossRef
Socioeconomic Differences in Dietary Patterns in an East African Country: Evidence from the Republic of Seychelles Ana-Lucia Mayén, Pascal Bovet, Helena Marti-Soler, Bharathi Viswanathan, Jude Gedeon, Fred Paccaud, Pedro Marques-Vidal, Silvia Stringhini, Elizabeth W Triche PLOS ONE.2016; 11(5): e0155617. CrossRef
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Relation between mealtime distribution of protein intake and lean mass loss in free-living older adults of the NuAge study Samaneh Farsijani, José A Morais, Hélène Payette, Pierrette Gaudreau, Bryna Shatenstein, Katherine Gray-Donald, Stéphanie Chevalier The American Journal of Clinical Nutrition.2016; 104(3): 694. CrossRef
Paleolithic and Mediterranean Diet Pattern Scores Are Inversely Associated with Biomarkers of Inflammation and Oxidative Balance in Adults Kristine A Whalen, Marjorie L McCullough, W Dana Flanders, Terryl J Hartman, Suzanne Judd, Roberd M Bostick The Journal of Nutrition.2016; 146(6): 1217. CrossRef
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This study was performed to find out a nutrient which could be used as an index for a quick and easy dietary assessment using mining association rules, the automated and intelligent database analysis. A Dietary survey with 24 hour recall method was conducted to 2037 adults over 30 years of age in rural area of Korea. Daily nutrient intake as the percent of the Recommended Daily Allowances(RDA) was applied to the association rules and nutrient intake over 75% of RDA was considered enough intake. Association rules in nutrient database show relation-ships among nutrients, and they are statements as this form, "50% of person that take protein under 60% of RDA also take calcium." Applying these rules between nutrients over 75% of RDA with 25% level of minimum support, we found that protein, phosphorus, niacin had 7 association rules and association rules of protein had higher level of confidence than the others. Applying between nutrients below 60% of RDA, calcium and vitamin A had the highest number of association rules, however, the levels of confidence were low. Protein had 5 association rules, 2nd higher number, and the levels of confidence were higher than others. From these results protein indicated nutrient intake patterns better than energy did, which is generally used as a representative nutrient. This results could be used in the dietary assessment and nutrition education of korean adults in rural area.