Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology.
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[1] Elaine R Monsen,et al. Nutrition in the prevention and treatment of disease , 2013 .
[2] R. Carroll,et al. Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology. , 2012, American journal of epidemiology.
[3] L. Arab,et al. Validity of a multipass, web-based, 24-hour self-administered recall for assessment of total energy intake in blacks and whites. , 2011, American journal of epidemiology.
[4] Victor Kipnis,et al. Dealing with dietary measurement error in nutritional cohort studies. , 2011, Journal of the National Cancer Institute.
[5] E. Trolle,et al. Rationale and methods of the European Food Consumption Validation (EFCOVAL) Project , 2011, European Journal of Clinical Nutrition.
[6] E. Trolle,et al. The standardized computerized 24-h dietary recall method EPIC-Soft adapted for pan-European dietary monitoring , 2011, European Journal of Clinical Nutrition.
[7] V. Beral,et al. Development and evaluation of the Oxford WebQ, a low-cost, web-based method for assessment of previous 24 h dietary intakes in large-scale prospective studies , 2011, Public Health Nutrition.
[8] A. Metspalu,et al. Feasibility of innovative dietary assessment in epidemiological studies using the approach of combining different assessment instruments , 2011, Public Health Nutrition.
[9] M. Sevick,et al. The Effect of Electronic Self‐Monitoring on Weight Loss and Dietary Intake: A Randomized Behavioral Weight Loss Trial , 2011, Obesity.
[10] A. Frood. Technology: A flavour of the future , 2010, Nature.
[11] D. Boggs,et al. Use of a web-based questionnaire in the Black Women's Health Study. , 2010, American journal of epidemiology.
[12] Jim Kaput,et al. Web-enabled and improved software tools and data are needed to measure nutrient intakes and physical activity for personalized health research. , 2010, The Journal of nutrition.
[13] M. Touvier,et al. Comparison between an interactive web-based self-administered 24 h dietary record and an interview by a dietitian for large-scale epidemiological studies , 2010, British Journal of Nutrition.
[14] Hafza Dadabhoy,et al. Children’s accuracy of portion size estimation using digital food images: effects of interface design and size of image on computer screen , 2010, Public Health Nutrition.
[15] Nicholas Chen,et al. Toward Dietary Assessment via Mobile Phone Video Cameras. , 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.
[16] I. Tetens,et al. Evaluation of a digital method to assess evening meal intake in a free-living adult population , 2010, Food & nutrition research.
[17] L. Andersen,et al. Two non-consecutive 24 h recalls using EPIC-Soft software are sufficiently valid for comparing protein and potassium intake between five European centres – results from the European Food Consumption Validation (EFCOVAL) study , 2010, British Journal of Nutrition.
[18] A. Schatzkin,et al. Gains in Statistical Power From Using a Dietary Biomarker in Combination With Self-reported Intake to Strengthen the Analysis of a Diet-Disease Association: An Example From CAREDS , 2010, American journal of epidemiology.
[19] Lenore Arab,et al. Automated camera-phone experience with the frequency of imaging necessary to capture diet. , 2010, Journal of the American Dietetic Association.
[20] L. Arab,et al. Eight self-administered 24-hour dietary recalls using the Internet are feasible in African Americans and Whites: the energetics study. , 2010, Journal of the American Dietetic Association.
[21] David S. Ebert,et al. The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation , 2010, IEEE Journal of Selected Topics in Signal Processing.
[22] I. White,et al. Dietary fiber and colorectal cancer risk: a nested case-control study using food diaries. , 2010, Journal of the National Cancer Institute.
[23] Carol J. Boushey,et al. Assessment of dietary intake: NuGO symposium report , 2010, Genes & Nutrition.
[24] I. Bourdeaudhuij,et al. The HELENA online food frequency questionnaire: reproducibility and comparison with four 24-h recalls in Belgian–Flemish adolescents , 2010, European Journal of Clinical Nutrition.
[25] L. Arab,et al. Using the web for recruitment, screen, tracking, data management, and quality control in a dietary assessment clinical validation trial. , 2010, Contemporary clinical trials.
[26] L. Maes,et al. How accurate are adolescents in portion-size estimation using the computer tool Young Adolescents' Nutrition Assessment on Computer (YANA-C)? , 2010, British Journal of Nutrition.
[27] U. Nöthlings,et al. The Assessment of Individual Usual Food Intake in Large-Scale Prospective Studies , 2010, Annals of Nutrition and Metabolism.
[28] Victor Kipnis,et al. Can we use biomarkers in combination with self-reports to strengthen the analysis of nutritional epidemiologic studies? , 2010, Epidemiologic perspectives & innovations : EP+I.
[29] Raymond J Carroll,et al. Modeling Data with Excess Zeros and Measurement Error: Application to Evaluating Relationships between Episodically Consumed Foods and Health Outcomes , 2009, Biometrics.
[30] A. Subar,et al. Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute Automated Self-administered 24-Hour Recall (ASA24). , 2009, Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems.
[31] Katherine L Tucker,et al. Validation of a web-based dietary questionnaire designed for the DASH (Dietary Approaches to Stop Hypertension) diet: the DASH Online Questionnaire , 2009, Public Health Nutrition.
[32] Lea Maes,et al. Feasibility of the Young Children's Nutrition Assessment on the Web. , 2009, Journal of the American Dietetic Association.
[33] Lora E Burke,et al. SMART trial: A randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings. , 2009, Contemporary clinical trials.
[34] R. Bender,et al. Longitudinal changes in energy expenditure in an elderly German population: a 12-year follow-up , 2009, European Journal of Clinical Nutrition.
[35] Lori D. Sigrist,et al. Monitoring energy intake: a hand-held personal digital assistant provides accuracy comparable to written records. , 2009, Journal of the American Dietetic Association.
[36] L. Serra-Majem,et al. A review of the use of information and communication technologies for dietary assessment , 2009, British Journal of Nutrition.
[37] K. Ohashi,et al. Development of a hand-held personal digital assistant-based food diary with food photographs for Japanese subjects. , 2009, Journal of the American Dietetic Association.
[38] W. Riley,et al. Evaluation of a web-based, pictorial diet history questionnaire , 2009, Public Health Nutrition.
[39] S. Bingham,et al. Biomarkers in nutritional epidemiology: applications, needs and new horizons , 2009, Human Genetics.
[40] S. Jaeger,et al. A quantitative characterisation of meals and their contexts in a sample of 25 to 49-year-old Spanish people , 2009, Appetite.
[41] A. Schatzkin,et al. Observational Epidemiologic Studies of Nutrition and Cancer: The Next Generation (with Better Observation) , 2009, Cancer Epidemiology Biomarkers & Prevention.
[42] Andrew J Milat,et al. Computer-tailored weight reduction interventions targeting adults: a narrative systematic review. , 2009, Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals.
[43] L. Neville,et al. Computer-tailored dietary behaviour change interventions: a systematic review , 2009, Health education research.
[44] G. Mcneill,et al. A novel online Food Recall Checklist for use in an undergraduate student population: a comparison with diet diaries , 2009, Nutrition journal.
[45] E J Delp,et al. Use of technology in children’s dietary assessment , 2009, European Journal of Clinical Nutrition.
[46] Carol J. Stevens,et al. Validity and reliability of photographic diet diaries for assessing dietary intake among young children. , 2009 .
[47] Holly Blake,et al. Mobile phone technology in chronic disease management. , 2008, Nursing standard (Royal College of Nursing (Great Britain) : 1987).
[48] E. Fowles,et al. The feasibility of personal digital assistants (PDAs) to collect dietary intake data in low-income pregnant women. , 2008, Journal of nutrition education and behavior.
[49] Y. Manios,et al. Development and evaluation of a self-administered computerized 24-h dietary recall method for adolescents in Europe , 2008, International Journal of Obesity.
[50] A. Galante,et al. Desenvolvimento e aplicação de um questionário semiquantitativo de freqüência alimentar on-line para estimar a ingestão de cálcio e ferro , 2008 .
[51] Mark Swanson,et al. Digital photography as a tool to measure school cafeteria consumption. , 2008, The Journal of school health.
[52] Corby K. Martin,et al. A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method. , 2008, The British journal of nutrition.
[53] Audie A Atienza,et al. Using hand-held computer technologies to improve dietary intake. , 2008, American journal of preventive medicine.
[54] Teresa J. Sakraida,et al. Design, feasibility, and acceptability of an intervention using personal digital assistant-based self-monitoring in managing type 2 diabetes. , 2008, Contemporary clinical trials.
[55] R. Carroll,et al. Performance of a food-frequency questionnaire in the US NIH–AARP (National Institutes of Health–American Association of Retired Persons) Diet and Health Study , 2008, Public Health Nutrition.
[56] G. Tröster,et al. Recognition of dietary activity events using on-body sensors , 2008, Artif. Intell. Medicine.
[57] J. Matthews,et al. Children's estimates of food portion size: the development and evaluation of three portion size assessment tools for use with children , 2007, British Journal of Nutrition.
[58] T. Baranowski,et al. Formative research of a quick list for an automated self-administered 24-hour dietary recall. , 2007, Journal of the American Dietetic Association.
[59] Jan-Eric Litton,et al. New times, new needs; e-epidemiology , 2007, European Journal of Epidemiology.
[60] Christophe Matthys,et al. Validity and reproducibility of an adolescent web-based food frequency questionnaire. , 2007, Journal of the American Dietetic Association.
[61] Da‐hong Wang,et al. The application of a handheld personal digital assistant with camera and mobile phone card (Wellnavi) to the general population in a dietary survey. , 2007, Journal of nutritional science and vitaminology.
[62] Siew Sun Wong,et al. Evaluation of a computerized food frequency questionnaire to estimate calcium intake of Asian, Hispanic, and non-Hispanic white youth. , 2007, Journal of the American Dietetic Association.
[63] S. Schinke,et al. Criterion validity of the Healthy Eating Self-monitoring Tool (HEST) for black adolescents. , 2007, Journal of the American Dietetic Association.
[64] Jan-Eric Litton,et al. Optimizing the design of web-based questionnaires – experience from a population-based study among 50,000 women , 2007, European Journal of Epidemiology.
[65] Da‐hong Wang,et al. Development of a new instrument for evaluating individuals' dietary intakes. , 2006, Journal of the American Dietetic Association.
[66] T. Aoki,et al. Estimation of dietary nutritional content using an online system with ability to assess the dieticians' accuracy , 2006, Journal of telemedicine and telecare.
[67] D. Midthune,et al. The food propensity questionnaire: concept, development, and validation for use as a covariate in a model to estimate usual food intake. , 2006, Journal of the American Dietetic Association.
[68] Linda Van Horn. Assessing dietary intake: new ideas and better approaches. , 2006, Journal of the American Dietetic Association.
[69] W. Willett,et al. Not the Time to Abandon the Food Frequency Questionnaire: Point , 2006, Cancer Epidemiology Biomarkers & Prevention.
[70] J. Potter,et al. Not the Time to Abandon the Food Frequency Questionnaire: Counterpoint , 2006, Cancer Epidemiology Biomarkers & Prevention.
[71] L. Mccargar,et al. School Region Socio-economic Status and Geographic Locale is Associated with Food Behaviour of Ontario and Alberta Adolescents , 2006, Canadian journal of public health = Revue canadienne de sante publique.
[72] R. Carroll,et al. A comparison of two dietary instruments for evaluating the fat-breast cancer relationship. , 2006, International journal of epidemiology.
[73] Rachel K. Johnson,et al. The use of a personal digital assistant for dietary self-monitoring does not improve the validity of self-reports of energy intake. , 2006, Journal of the American Dietetic Association.
[74] W. Riley,et al. Evaluation of a PDA-based Dietary Assessment and Intervention Program: A Randomized Controlled Trial , 2006, Journal of the American College of Nutrition.
[75] Ulrike Peters,et al. Is It Time to Abandon the Food Frequency Questionnaire? , 2005, Cancer Epidemiology Biomarkers & Prevention.
[76] M. Robinson,et al. Using smart card technology to monitor the eating habits of children in a school cafeteria: 1. Developing and validating the methodology. , 2005, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.
[77] J. Zoellner,et al. Comparative validation of a bilingual interactive multimedia dietary assessment tool. , 2005, Journal of the American Dietetic Association.
[78] Lora E Burke,et al. Self-monitoring dietary intake: current and future practices. , 2005, Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation.
[79] M. Sevick,et al. A preliminary study of PDA-based dietary self-monitoring in hemodialysis patients. , 2005, Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation.
[80] Jeannette Beasley,et al. Accuracy of a PDA-based dietary assessment program. , 2005, Nutrition.
[81] S. Henauw,et al. Validity and reproducibility of a computerised tool for assessing the iron, calcium and vitamin C intake of Belgian women , 2004, European Journal of Clinical Nutrition.
[82] H. Allen,et al. Digital photography: A new method for estimating food intake in cafeteria settings , 2004, Eating and weight disorders : EWD.
[83] Raymond J Carroll,et al. A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: results from the biomarker-based Observing Protein and Energy Nutrition (OPEN) study. , 2003, International journal of epidemiology.
[84] F. Clavel-Chapelon,et al. Group level validation of protein intakes estimated by 24-hour diet recall and dietary questionnaires against 24-hour urinary nitrogen in the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study. , 2003, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.
[85] N. Day,et al. Are imprecise methods obscuring a relation between fat and breast cancer? , 2003, The Lancet.
[86] D. Midthune,et al. Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. , 2003, American journal of epidemiology.
[87] F. Clavel-Chapelon,et al. European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics , 2002, Public Health Nutrition.
[88] Da‐hong Wang,et al. Validity and reliability of a dietary assessment method: the application of a digital camera with a mobile phone card attachment. , 2002, Journal of nutritional science and vitaminology.
[89] Janice Baranowski,et al. The food intake recording software system is valid among fourth-grade children. , 2002, Journal of the American Dietetic Association.
[90] C. Pullen,et al. Use and reliability of the World Wide Web version of the Block Health Habits and History Questionnaire with older rural women. , 2002, Journal of nutrition education and behavior.
[91] J. Jobe,et al. Cognitive research enhances accuracy of food frequency questionnaire reports: results of an experimental validation study. , 2002, Journal of the American Dietetic Association.
[92] A F Subar,et al. Design and serendipity in establishing a large cohort with wide dietary intake distributions : the National Institutes of Health-American Association of Retired Persons Diet and Health Study. , 2001, American journal of epidemiology.
[93] N E Day,et al. Nutritional methods in the European Prospective Investigation of Cancer in Norfolk , 2001, Public Health Nutrition.
[94] W. Willett. Commentary: Dietary diaries versus food frequency questionnaires-a case of undigestible data. , 2001, International journal of epidemiology.
[95] H. S. Bayley,et al. Four-day multimedia diet records underestimate energy needs in middle-aged and elderly women as determined by doubly-labeled water. , 2000, The Journal of nutrition.
[96] D O Stram,et al. A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics. , 2000, American journal of epidemiology.
[97] D O Stram,et al. Calibration of the dietary questionnaire for a multiethnic cohort in Hawaii and Los Angeles. , 2000, American journal of epidemiology.
[98] A. Bartolucci,et al. Comparison of a computer-based food frequency questionnaire for calcium intake with 2 other assessment tools. , 1999, Journal of the American Dietetic Association.
[99] Elio Riboli,et al. The EPIC Project: Rationale and study design , 1997 .
[100] K. Bättig,et al. Comparison of an electronic food diary with a nonquantitative food frequency questionnaire in male and female smokers and nonsmokers. , 1996, Journal of the American Dietetic Association.
[101] A F Subar,et al. Improving food frequency questionnaires: a qualitative approach using cognitive interviewing. , 1995, Journal of the American Dietetic Association.
[102] F. Thompson,et al. Dietary assessment resource manual. , 1994, The Journal of nutrition.
[103] N E Day,et al. Comparison of dietary assessment methods in nutritional epidemiology: weighed records v. 24 h recalls, food-frequency questionnaires and estimated-diet records , 1994, British Journal of Nutrition.
[104] D Feskanich,et al. Computerized collection and analysis of dietary intake information. , 1989, Computer methods and programs in biomedicine.
[105] M. Sevick,et al. Self-monitoring in weight loss: a systematic review of the literature. , 2011, Journal of the American Dietetic Association.
[106] D. Schoeller,et al. American Journal of Epidemiology Practice of Epidemiology Evaluation and Comparison of Food Records, Recalls, and Frequencies for Energy and Protein Assessment by Using Recovery Biomarkers , 2022 .
[107] N. Roeleveld,et al. American Journal of Epidemiology Practice of Epidemiology Web-based Questionnaires: the Future in Epidemiology? , 2022 .
[108] Ajay Divakaran,et al. Automatic food documentation and volume computation using digital imaging and electronic transmission. , 2010, Journal of the American Dietetic Association.
[109] Tom Greene,et al. Validation of a dietary history questionnaire for American Indian and Alaska Native people. , 2010, Ethnicity & disease.
[110] Jennifer L. Crafts,et al. Assessment of the accuracy of portion size reports using computer-based food photographs aids in the development of an automated self-administered 24-hour recall. , 2010, Journal of the American Dietetic Association.
[111] H. Eyles,et al. Use of household supermarket sales data to estimate nutrient intakes: a comparison with repeat 24-hour dietary recalls. , 2010, Journal of the American Dietetic Association.
[112] Mingui Sun,et al. A wearable electronic system for objective dietary assessment. , 2010, Journal of the American Dietetic Association.
[113] E. Delp,et al. Evidence-based development of a mobile telephone food record. , 2010, Journal of the American Dietetic Association.
[114] David S. Ebert,et al. Personal dietary assessment using mobile devices , 2009, Electronic Imaging.
[115] R. Hanning,et al. Web-based Food Behaviour Questionnaire: validation with grades six to eight students. , 2009, Canadian journal of dietetic practice and research : a publication of Dietitians of Canada = Revue canadienne de la pratique et de la recherche en dietetique : une publication des Dietetistes du Canada.
[116] Roger L. Edwards,et al. Development, implementation, and evaluation of a computerized self-administered diet history questionnaire for use in studies of American Indian and Alaskan native people. , 2008, Journal of the American Dietetic Association.
[117] O. Dale,et al. Despite technical problems personal digital assistants outperform pen and paper when collecting patient diary data. , 2007, Journal of clinical epidemiology.
[118] Roger L. Edwards,et al. Practice of Epidemiology Development and Use of Touch-Screen Audio Computer-assisted Self-Interviewing in a Study of American Indians , 2007 .
[119] William J. Long,et al. Natural Language Processing of Spoken Diet Records (SDRs) , 2006, AMIA.
[120] M. Goran,et al. Use of tape-recorded food records in assessing children's dietary intake. , 2000, Obesity research.
[121] E Riboli,et al. The EPIC Project: rationale and study design. European Prospective Investigation into Cancer and Nutrition. , 1997, International journal of epidemiology.
[122] S. Gadowsky,et al. An interactive 24-h recall technique for assessing the adequacy of trace mineral intakes of rural Malawian women; its advantages and limitations. , 1995, European journal of clinical nutrition.
[123] S A Bingham,et al. Limitations of the various methods for collecting dietary intake data. , 1991, Annals of nutrition & metabolism.