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Critical Reviews in Food Science and Nutrition Volume 60, 2020 - Issue 8
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Reviews

A systematic review of reviews identifying UK validated dietary assessment tools for inclusion on an interactive guided website for researchers: www.nutritools.org

Jozef Hooson (Jzh)a Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UKView further author information
,
Jayne Hutchinson (Jyh)a Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UKORCID Iconhttps://orcid.org/0000-0002-6251-5013View further author information
ORCID Icon,
Marisol Warthon-Medinaa Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK;b Food Databanks National Capability, Quadram Institute Bioscience, Norwich, UKORCID Iconhttps://orcid.org/0000-0003-1318-397XView further author information
ORCID Icon,
Neil Hancocka Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UKView further author information
,
Katharine Greatheada Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UKView further author information
,
Bethany Knowlesa Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UKView further author information
,
Elisa Vargas-Garciaa Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UKORCID Iconhttps://orcid.org/0000-0002-7938-5817View further author information
ORCID Icon,
Lauren E. Gibsona Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UKView further author information
,
Linda A. Busha Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UKView further author information
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Barrie Margettsc Faculty of Medicine, University of Southampton, Southampton, UKView further author information
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Sian Robinsond MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK;e NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UKView further author information
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Andy Nessf NIHR Biomedical Research Unit in Nutrition, Diet and Lifestyle, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UKView further author information
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Nisreen A. Alwanf NIHR Biomedical Research Unit in Nutrition, Diet and Lifestyle, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK;g Academic Unit of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UKView further author information
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Petra A. Warkh Centre for Innovative Research Across the Life Course (CIRAL), Faculty of Health and Life Sciences, Coventry University, Coventry, UK;i Global eHealth Unit, Department of Primary Care and Public Health, Imperial College London, London, UKView further author information
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Mark Roeb Food Databanks National Capability, Quadram Institute Bioscience, Norwich, UK;j EuroFIR AISBL, Brussels, BelgiumView further author information
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Paul Finglasb Food Databanks National Capability, Quadram Institute Bioscience, Norwich, UKView further author information
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Toni Steerk MRC Elsie Widdowson Laboratory, Cambridge, UKView further author information
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Polly Pagek MRC Elsie Widdowson Laboratory, Cambridge, UKView further author information
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Laura Johnsonl Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UKView further author information
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Katharine Robertsm Public Health Section, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK;n Public Health England, London, UKView further author information
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Birdem Amoutzopoulosk MRC Elsie Widdowson Laboratory, Cambridge, UKView further author information
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Victoria J. Burleya Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UKView further author information
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Darren C. Greenwoodo Faculty of Medicine and Health Division of Biostatistics, University of Leeds, Leeds, UKView further author information
&
Janet E. Cadea Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UKCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3421-0121View further author information
ORCID Icon show all
Pages 1265-1289 | Published online: 18 Mar 2019

References

  • Albar, S. A., N. A. Alwan, C. E. Evans, D. C. Greenwood, and J. E. Cade. 2016. Agreement between an online dietary assessment tool (myfood24) and an interviewer-administered 24-h dietary recall in British adolescents aged 11–18 years. British Journal of Nutrition 115 (09):1678–86. doi: https://doi.org/10.1017/S0007114516000593.
  • Ashfield-Watt, P., A. Welch, S. Godward, and S. Bingham. 2007. Effect of a pilot community intervention on fruit and vegetable intakes: Use of FACET (Five-a-day community evaluation tool). Public Health Nutrition 10 (7):671–80.
  • Bach, A., L. Serra-Majem, J. L. Carrasco, B. Roman, J. Ngo, I. Bertomeu, and B. Obrador. 2006. The use of indexes evaluating the adherence to the Mediterranean diet in epidemiological studies: A review. Public Health Nutrition 9 (1A):132.
  • Bates, B., A. Lennox, A. Prentice, C. J. Bates, P. Page, S. Nicholson, and G. Swan. 2014. National diet and nutrition survey: Results from years 1, 2, 3 and 4 (combined) of the rolling programme (2008/2009-2011/2012): A survey carried out on behalf of public health England and the food standards agency. Public Health England.
  • Bell, L. K., R. K. Golley, and A. A. Magarey. 2013. Short tools to assess young children's dietary intake: A systematic review focusing on application to dietary index research. Journal of Obesity 2013 :1–17. doi: https://doi.org/10.1155/2013/709626.
  • Bingham, S. A., C. Gill, A. Welch, K. Day, A. Cassidy, K. T. Khaw, M. J. Sneyd, T. J. Key, L. Roe, N. E. Day, et al. 1994. Comparison of dietary assessment methods in nutritional epidemiology: Weighed records v. 24 h recalls, food-frequency questionnaires and estimated-diet records. The British Journal of Nutrition 72 (4):619–43.
  • Bingham, S. A., and N. E. Day. 1997. Using biochemical markers to assess the validity of prospective dietary assessment methods and the effect of energy adjustment. The American Journal of Clinical Nutrition 65 (4 Suppl):1130S–7S.
  • Bingham, S. A., C. Gill, A. Welch, A. Cassidy, S. A. Runswick, S. Oakes, R. Lubin, D. I. Thurnham, T. J. Key, L. Roe, et al. 1997. Validation of dietary assessment methods in the UK arm of EPIC using weighed records, and 24-hour urinary nitrogen and potassium and serum vitamin C and carotenoids as biomarkers. International Journal of Epidemiology 26 :S137.
  • Bingham, S. A. 2002. Biomarkers in nutritional epidemiology. Public Health Nutrition 5 (6A):821–7.
  • Black, A. E., A. A. Welch, and S. A. Bingham. 2000. Validation of dietary intakes measured by diet history against 24 h urinary nitrogen excretion and energy expenditure measured by the doubly-labelled water method in middle-aged women . The British Journal of Nutrition 83 (4):341–54.
  • Bland, J. M., and D. Altman. 1986. Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet 327 (8476):307–10. doi: https://doi.org/10.1016/S0140-6736(86)90837-8.
  • Bodner, C. H., A. Soutar, S. A. New, A. R. Scaife, M. Byres, G. D. Henderson, K. Brown, and D. J. Godden. 1998. Validation of a food frequency questionnaire for use in a Scottish population: Correlation of antioxidant vitamin intakes with biochemical measures. Journal of Human Nutrition and Dietetics 11 (5):373–80. doi: https://doi.org/10.1046/j.1365-277X.1998.00119.x.
  • Bolton-Smith, C., C. Casey, K. Gey, W. Smith, and H. Tunstall-Pedoe. 1991. Antioxidant vitamin intakes assessed using a food-frequency questionnaire: Correlation with biochemical status in smokers and non-smokers. The British Journal of Nutrition 65 (3):337–46.
  • Bradley, J., E. Simpson, I. Poliakov, J. Matthews, P. Olivier, A. Adamson, and E. Foster. 2016. Comparison of INTAKE24 (an online 24-h dietary recall tool) with interviewer-led 24-h recall in 11–24 year-old. Nutrients 8 (6):358.
  • Broadfield, E., T. McKeever, A. Fogarty, and J. Britton. 2003. Measuring dietary fatty acid intake: Validation of a food-frequency questionnaire against 7d weighed records. British Journal of Nutrition 90 (01):215–20. doi: https://doi.org/10.1079/BJN2003884.
  • Brunner, E., D. Stallone, M. Juneja, S. Bingham, and M. Marmot. 2001. Dietary assessment in Whitehall II: Comparison of 7 d diet diary and food-frequency questionnaire and validity against biomarkers. The British Journal of Nutrition 86 (3):405–14.
  • Bryant, M., L. Ashton, J. Brown, S. Jebb, J. Wright, K. Roberts, and J. Nixon. 2014. Systematic review to identify and appraise outcome measures used to evaluate childhood obesity treatment interventions (CoOR): Evidence of purpose, application, validity, reliability and sensitivity. Health Technology Assessment (Winchester, England) 18 (51):1.
  • Cade, J. E. 2017. Measuring diet in the 21st century: Use of new technologies. The Proceedings of the Nutrition Society 76 (3):276–82.
  • Cade, J., M. Warthon-Medina, S. Albar, N.A. Alwan, A. Ness, M. Roe, P.A. Wark, K. Greathead, V. J. Burley, P. Finglas, et al. 2017. DIET@NET: Best Practice Guidelines for dietary assessment in health research. BMC Medicine 15 (1):202.
  • Cade, J., V. Burley, D. Warm, R. Thompson, and B. Margetts. 2004. Food-frequency questionnaires: A review of their design, validation and utilisation. Nutrition Research Reviews 17 (1):5–22.
  • Cade, J., L. Frear, and D. Greenwood. 2006. Assessment of diet in young children with an emphasis on fruit and vegetable intake: Using CADET-Child and Diet Evaluation Tool. Public Health Nutrition 9 (4):501–8.
  • Cade, J., R. Thompson, V. Burley, and D. Warm. 2002. Development, validation and utilisation of food-frequency questionnaires – A review. Public Health Nutrition 5 (4):567–87.
  • Carroll, R. J., D. Midthune, A. F. Subar, M. Shumakovich, L. S. Freedman, F. E. Thompson, and V. Kipnis. 2012. Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology. American Journal of Epidemiology 175 (4):340–7.
  • Carter, M. C., S. A. Albar, M. A. Morris, U. Z. Mulla, N. Hancock, C. E. Evans, N. A. Alwan, D. C. Greenwood, L. J. Hardie, G. S. Frost, et al. 2015. Development of a UK online 24-h dietary assessment tool: Myfood24. Nutrients 7 (6):4016–32.
  • Carter, M. C., V. Burley, C. Nykjaer, and J. Cade. 2013. 'My Meal Mate' (MMM): Validation of the diet measures captured on a smartphone application to facilitate weight loss. The British Journal of Nutrition 109 (3):539–46.
  • Christian, M. S., C. E. Evans, C. Nykjaer, N. Hancock, and J. E. Cade. 2015. Measuring diet in primary school children aged 8–11 years: Validation of the child and diet evaluation tool (CADET) with an emphasis on fruit and vegetable intake. European Journal of Clinical Nutrition 69 (2):234–41. doi: https://doi.org/10.1038/ejcn.2014.160.
  • Cleghorn, C. L., R. A. Harrison, J. K. Ransley, S. Wilkinson, J. Thomas, and J. E. Cade. 2016. Can a dietary quality score derived from a short-form FFQ assess dietary quality in UK adult population surveys? Public Health Nutrition 1 :1–9.
  • Comrie, F., L. F. Masson, and G. McNeill. 2009. A novel online food recall checklist for use in an undergraduate student population: A comparison with diet diaries. Nutrition Journal 8 :13.
  • Davies, P. S., W. Coward, J. Gregory, A. White, and A. Mills. 1994. Total energy expenditure and energy intake in the pre-school child: A comparison. British Journal of Nutrition 72 (01):13–20. 9696. doi: https://doi.org/10.1079/BJN19940005.
  • Day, N. E., N. McKeown, M.-Y. Wong, A. Welch, and S. Bingham. 2001. Epidemiological assessment of diet: A comparison of a 7-day diary with a food frequency questionnaire using urinary markers of nitrogen, potassium and sodium. International Journal of Epidemiology 30 (2):309–17. doi: https://doi.org/10.1093/ije/30.2.309.
  • Dong, J. 2003. Dietary Targets Monitor. https://www.gov.scot/topics
  • Dunn, S., A. Datta, S. Kallis, E. Law, C. E. Myers, and K. Whelan. 2011. Validation of a food frequency questionnaire to measure intakes of inulin and oligofructose. European Journal of Clinical Nutrition 65 (3):402–8.
  • Edmunds, L., and S. Ziebland. 2002. Development and validation of the day in the life questionnaire (DILQ) as a measure of fruit and vegetable questionnaire for 7–9 year olds. Health Education Research 17 (2):211–20. doi: https://doi.org/10.1093/her/17.2.211.
  • England, C., R. Andrews, R. Jago, and J. Thompson. 2015. A systematic review of brief dietary questionnaires suitable for clinical use in the prevention and management of obesity. European Journal of Clinical Nutrition 69 (9):977–1003.
  • Fallaize, R., H. Forster, A. L. Macready, M. C. Walsh, J. C. Mathers, L. Brennan, E. R. Gibney, M. J. Gibney, and J. A. Lovegrove. 2014. Online dietary intake estimation: Reproducibility and validity of the Food4Me food frequency questionnaire against a 4-day weighed food record. Journal of Medical Internet Research 16 (8):e190.
  • Forster, H., R. Fallaize, C. Gallagher, C. B. O'Donovan, C. Woolhead, M. C. Walsh, A. L. Macready, J. A. Lovegrove, J. C. Mathers, M. J. Gibney, et al. 2014. Online dietary intake estimation: The Food4Me food frequency questionnaire. Journal of Medical Internet Research 16 (6):e150.
  • Foster, E., J. Delve, E. Simpson, and S.-P. Breininger. 2014. Comparison study: INTAKE24 vs. interviewer led recall final report. Citeseer.
  • Freedman, L. S., J. M. Commins, J. E. Moler, L. Arab, D. J. Baer, V. Kipnis, D. Midthune, A. J. Moshfegh, M. L. Neuhouser, R. L. Prentice, et al. 2014. Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake. American Journal of Epidemiology 180 (2):172–88.
  • Gemming, L., J. Utter, and C. N. Mhurchu. 2015. Image-assisted dietary assessment: A systematic review of the evidence. Journal of the Academy of Nutrition and Dietetics 115 (1):64–77. doi: https://doi.org/10.1016/j.jand.2014.09.015.
  • Gemming, L., A. Doherty, P. Kelly, J. Utter, and C. N. Mhurchu. 2013. Feasibility of a SenseCam-assisted 24-h recall to reduce under-reporting of energy intake. European Journal of Clinical Nutrition 67 (10):1095–9. doi: https://doi.org/10.1038/ejcn.2013.156.
  • Hartwell, D. L., and C. J. K. Henry. 2001. Comparison of a self-administered quantitative food amount frequency questionnaire with 4-day estimated food records. International Journal of Food Sciences and Nutrition 52 (2):151–9.
  • Heath, A.-L. M., M. A. Roe, S. L. Oyston, and S. J. Fairweather-Tait. 2005. Meal-based intake assessment tool: Relative validity when determining dietary intake of Fe and Zn and selected absorption modifiers in UK men. British Journal of Nutrition 93 (03):403–16. doi: https://doi.org/10.1079/BJN20041324.
  • Heald, C., C. Bolton-Smith, M. Ritchie, M. Morton, and F. Alexander. 2006. Phyto-oestrogen intake in Scottish men: Use of serum to validate a self-administered food-frequency questionnaire in older men. European Journal of Clinical Nutrition 60 (1):129–35.
  • Hedrick, V. E., A. M. Dietrich, P. A. Estabrooks, J. Savla, and E. Serrano. 2012. Dietary biomarkers: Advances, limitations and future directions. Nutrition Journal 11 (1):109.
  • Heller, R. F., H. D. T. Pedoe, and G. Rose. 1981. A simple method of assessing the effect of dietary advice to reduce plasma cholesterol. Preventive Medicine 10 (3):364–70. doi: https://doi.org/10.1016/0091-7435(81)90025-6.
  • Hillier, F. C., A. M. Batterham, S. Crooks, H. J. Moore, and C. D. Summerbell. 2012. The development and evaluation of a novel internet-based computer program to assess previous-day dietary and physical activity behaviours in adults: The synchronised nutrition and activity program for adults (SNAPA™). The British Journal of Nutrition 107 (8):1221–31.
  • Hooper, R., J. Heinrich, E. Omenaas, S. Sausenthaler, V. Garcia-Larsen, I. Bakolis, and P. Burney. 2010. Dietary patterns and risk of asthma: Results from three countries in European community respiratory health Survey-II. The British Journal of Nutrition 103 (9):1354–65.
  • Holmes, B., K. Dick, and M. Nelson. 2008. A comparison of four dietary assessment methods in materially deprived households in England. Public Health Nutrition 11 (5):444–56.
  • Hollis, J. L., L. C. A. Craig, S. Whybrow, H. Clark, J. A. M. Kyle, and G. McNeill. 2017. Assessing the relative validity of the Scottish collaborative group FFQ for measuring dietary intake in adults. Public Health Nutrition 20 (03):449–55. doi: https://doi.org/10.1017/S1368980016002421.
  • Hongu, N., M. D. Hingle, N. C. Merchant, B. J. Orr, S. B. Going, M. I. Mosqueda, and C. A. Thomson. 2011. Dietary assessment tools using mobile technology. Topics in Clinical Nutrition 26 (4):300–11. doi: https://doi.org/10.1097/TIN.0b013e3182379525.
  • Jackson, N., J. Little, and A. D. Wilson. 1990. Comparison of diet history interview and self-completed questionnaire in assessment of diet in an elderly population. Journal of Epidemiology and Community Health 44 (2):162–9. doi: https://doi.org/10.1136/jech.44.2.162.
  • Jia, X., L. C. Craig, L. S. Aucott, A. C. Milne, and G. McNeill. 2008. Repeatability and validity of a food frequency questionnaire in free-living older people in relation to cognitive function. The Journal of Nutrition, Health & Aging 12 (10):735–41.
  • Johansson, G. 2008. Comparison of nutrient intake between different dietary assessment methods in elderly male volunteers. Nutrition & Dietetics 65 :266–71. doi: https://doi.org/10.1111/j.1747-0080.2008.00317.x.
  • Johnson, B., and A. Hackett. 1997. Eating habits of 11–14‐year‐old schoolchildren living in less affluent areas of Liverpool, UK. Journal of Human Nutrition and Dietetics 10 (2):135–44. doi: https://doi.org/10.1046/j.1365-277X.1997.00046.x.
  • Johnson, B., A. Hackett, M. Roundfield, and A. Coufopoulos. 2001. An investigation of the validity and reliability of a food intake questionnaire. Journal of Human Nutrition and Dietetics: The Official Journal of the British Dietetic Association 14 (6):457–65.
  • Johnson, R. K. 2002. Dietary intake—How do we measure what people are really eating? Obesity Research 10 (S11):63S–8S. doi: https://doi.org/10.1038/oby.2002.192.
  • Johnson, R. K., P. Driscoll, and M. I. Goran. 1996. Comparison of multiple-pass 24-hour recall estimates of energy intake with total energy expenditure determined by the doubly labeled water method in young children. Journal of the American Dietetic Association 96 (11):1140–4.
  • Kassam-Khamis, T., K. Nanchahal, P. Mangtani, I. dos Santos Silva, A. McMichael, and A. Anderson. 1999. Development of an interview‐administered food‐frequency questionnaire for use amongst women of South Asian ethnic origin in Britain. Journal of Human Nutrition and Dietetics 12 :7–19. doi: https://doi.org/10.1046/j.1365-277x.1999.00139.x.
  • Lachat, C., D. Hawwash, M. C. Ocké, C. Berg, E. Forsum, A. Hörnell, C. l Larsson, E. Sonestedt, E. Wirfält, A. Åkesson, et al. 2016. Strengthening the reporting of observational studies in epidemiology–nutritional epidemiology (STROBE‐nut): An extension of the STROBE statement. Nutrition Bulletin 41 (3):240–51. doi: https://doi.org/10.1111/nbu.12217.
  • Lanham, S. A., and C. Bolton-Smith. 1993. Development of a food frequency questionnaire. Proceedings of the Nutrition Society 52:30A.
  • Lanigan, J., J. Wells, M. Lawson, and A. Lucas. 2001. Validation of food diary method for assessment of dietary energy and macronutrient intake in infants and children aged 6–24 months. European Journal of Clinical Nutrition 55 (2):124.
  • Lean, M., A. Anderson, C. Morrison, and J. Currall. 2003. Evaluation of a dietary targets monitor. European Journal of Clinical Nutrition 57 (5):667–73.
  • Lietz, G., K. L. Barton, P. J. Longbottom, and A. S. Anderson. 2002. Can the EPIC food-frequency questionnaire be used in adolescent populations? Public Health Nutrition 5 (6):783–9.
  • Little, P., J. Barnett, B. Margetts, A. L. Kinmonth, J. Gabbay, R. Thompson, D. Warm, H. Warwick, and S. Wooton. 1999. The validity of dietary assessment in general practice. Journal of Epidemiology and Community Health 53 (3):165–72.
  • Liu, B., H. Young, F. L. Crowe, V. S. Benson, E. A. Spencer, T. J. Key, P. N. Appleby, and V. Beral. 2011. 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. Public Health Nutrition 14 (11):1998–2005.
  • Livingstone, M. B., A. M. Prentice, W. A. Coward, J. J. Strain, A. E. Black, P. S. Davies, C. M. Stewart, P. G. McKenna, and R. G. Whitehead. 1992. Validation of estimates of energy intake by weighed dietary record and diet history in children and adolescents. The American Journal of Clinical Nutrition 56 (1):29–35.
  • Livingstone, M., P. Robson, and J. Wallace. 2004. Issues in dietary intake assessment of children and adolescents. British Journal of Nutrition 92 (S2):S213–S22. doi: https://doi.org/10.1079/BJN20041169.
  • Lombard, M. J., N. P. Steyn, K. E. Charlton, and M. Senekal. 2015. Application and interpretation of multiple statistical tests to evaluate validity of dietary intake assessment methods. Nutrition Journal 14:40
  • Long, J. D., L. A. Littlefield, G. Estep, H. Martin, T. J. Rogers, C. Boswell, B. J. Shriver, and C. R. Roman-Shriver. 2010. Evidence review of technology and dietary assessment. Worldviews on Evidence-Based Nursing 7 (4):191–204. doi: https://doi.org/10.1111/j.1741-6787.2009.00173.x.
  • McKeown, N. M., N. E. Day, A. A. Welch, S. A. Runswick, R. N. Luben, A. A. Mulligan, A. McTaggart, and S. A. Bingham. 2001. Use of biological markers to validate self-reported dietary intake in a random sample of the European prospective investigation into cancer United Kingdom Norfolk cohort. The American Journal of Clinical Nutrition 74 (2):188–96. doi: https://doi.org/10.1093/ajcn/74.2.188.
  • McNaughton, S., G. Mishra, G. Bramwell, A. Paul, and M. Wadsworth. 2005. Comparability of dietary patterns assessed by multiple dietary assessment methods: Results from the 1946 British birth Cohort. European Journal of Clinical Nutrition 59 (3):341–52.
  • McPherson, R. S., D. M. Hoelscher, M. Alexander, K. S. Scanlon, and M. K. Serdula. 2000. Dietary assessment methods among school-aged children: Validity and reliability. Preventive Medicine 31 (2):S11–S33. doi: https://doi.org/10.1006/pmed.2000.0631.
  • Margetts, B., J. Cade, and C. Osmond. 1989. Comparison of a food frequency questionnaire with a diet record. International Journal of Epidemiology 18 (4):868–73.
  • Marriott, L. D., S. M. Robinson, J. Poole, S. E. Borland, K. M. Godfrey, C. M. Law, and H. M. Inskip. 2008. What do babies eat? Evaluation of a food frequency questionnaire to assess the diets of infants aged 6 months. Public Health Nutrition 11 (7):751–6.
  • Marriott, L. D., H. M. Inskip, S. E. Borland, K. M. Godfrey, C. M. Law, and S. M. Robinson. 2009. What do babies eat? Evaluation of a food frequency questionnaire to assess the diets of infants aged 12 months. Public Health Nutrition 12 (7):967.
  • Marshall, S., T. Burrows, and C. Collins. 2014. Systematic review of diet quality indices and their associations with health-related outcomes in children and adolescents. Journal of Human Nutrition and Dietetics: The Official Journal of the British Dietetic Association 27 (6):577–98.
  • Masson, L. F., G. McNeill, J. O. Tomany, J. A. Simpson, H. S. Peace, L. Wei, D. A. Grubb, and C. Bolton-Smith. 2003. Statistical approaches for assessing the relative validity of a food-frequency questionnaire: Use of correlation coefficients and the kappa statistic. Public Health Nutrition 6 (3):313–21.
  • Mohd-Shukri, N. A., J. L. Bolton, J. E. Norman, B. R. Walker, and R. M. Reynolds. 2013. Evaluation of an FFQ to assess total energy and nutrient intakes in severely obese pregnant women. Public Health Nutrition 16 (8):1427–35.
  • Molag, M. L., J. H. M. de Vries, M. C. Ocké, P. C. Dagnelie, P. A. van den Brandt, M. C. J. F. Jansen, W. A. van Staveren, and P. van't Veer. 2007. Design characteristics of food frequency questionnaires in relation to their validity. American Journal of Epidemiology 166 (12):1468–78.
  • Montgomery, C., J. J. Reilly, D. M. Jackson, L. A. Kelly, C. Slater, J. Y. Paton, and S. Grant. 2005. Validation of energy intake by 24-hour multiple pass recall: Comparison with total energy expenditure in children aged 5–7 years. The British Journal of Nutrition 93 (5):671–6. (05):
  • Moore, G. F., K. Tapper, S. Murphy, R. Clark, R. Lynch, and L. Moore. 2007. Validation of a self-completion measure of breakfast foods, snacks and fruits and vegetables consumed by 9- to 11-year-old schoolchildren. European Journal of Clinical Nutrition 61 (3):420–30.
  • Moore, H. J., L. J. Ells, S. A. McLure, S. Crooks, D. Cumbor, C. D. Summerbell, and A. M. Batterham. 2008. The development and evaluation of a novel computer program to assess previous-day dietary and physical activity behaviours in school children: The synchronised nutrition and activity program TM (SNAP TM). British Journal of Nutrition 99 :1266–74.
  • Mouratidou, T., M. I. Mesana, Y. Manios, B. Koletzko, M. J. M. Chinapaw, I. De Bourdeaudhuij, P. Socha, V. Iotova, and L. A. Moreno. 2012. Assessment tools of energy balance‐related behaviours used in European obesity prevention strategies: Review of studies during preschool. Obesity Reviews 13 :42–55. doi: https://doi.org/10.1111/j.1467-789X.2011.00958.x.
  • Mouratidou, T., F. Ford, and R. B. Fraser. 2006. Validation of a food-frequency questionnaire for use in pregnancy. Public Health Nutrition 9 (4):515–22.
  • Nelson, M., G. F. Hague, C. Cooper, and V. W. Bunker. 1988. Calcium intake in the elderly: validation of a dietary questionnaire. Journal of Human Nutrition and Dietetics 1 (2):115–27. doi: https://doi.org/10.1111/j.1365-277X.1988.tb00443.x.
  • O'Donnell, M., M. Nelson, P. Wise, and D. Walker. 1991. A computerized diet questionnaire for use in diet health education. 1. Development and validation. The British Journal of Nutrition 66 (1):3–15.
  • O'Loughlin, G., S. J. Cullen, A. McGoldrick, S. O'Connor, R. Blain, S. O'Malley, and G. D. Warrington. 2013. Using a wearable camera to increase the accuracy of dietary analysis. American Journal of Preventive Medicine 44 :297–301. doi: https://doi.org/10.1016/j.amepre.2012.11.007.
  • Øverby, N. C., L. Serra-Majem, and L. F. Andersen. 2009. Dietary assessment methods on n-3 fatty acid intake: A systematic review. British Journal of Nutrition 102 (S1):S56–S63. doi: https://doi.org/10.1017/S000711450999314X.
  • Papadaki, A., and J. Scott. 2007. Relative validity and utility of a short food frequency questionnaire assessing the intake of legumes in Scottish women. Journal of Human Nutrition and Dietetics 20 (5):467–75. doi: https://doi.org/10.1111/j.1365-277X.2007.00809.x.
  • Poslusna, K., J. Ruprich, J. H. M. de Vries, M. Jakubikova, and P. van't Veer. 2009. Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice. British Journal of Nutrition 101 (S2):S73–S85.
  • Pufulete, M., P. W. Emery, M. Nelson, and T. A. Sanders. 2002. Validation of a short food frequency questionnaire to assess folate intake. British Journal of Nutrition 87 (04):383–90.
  • Reilly, J. J., C. Montgomery, D. Jackson, J. MacRitchie, and J. Armstrong. 2001. Energy intake by multiple pass 24 h recall and total energy expenditure: A comparison in a representative sample of 3–4-year-olds. British Journal of Nutrition 86 (05):601–5.
  • Robinson, S., L. Marriott, J. Poole, S. Crozier, S. Borland, W. Lawrence, C. Law, K. Godfrey, C. Cooper, H. Inskip, et al. 2007. Dietary patterns in infancy: The importance of maternal and family influences on feeding practice. The British Journal of Nutrition 98 (5):1029–37.
  • Roddam, A. W., E. Spencer, E. Banks, V. Beral, G. Reeves, P. Appleby, I. Barnes, D. C. Whiteman, and T. J. Key. 2005. Reproducibility of a short semi-quantitative food group questionnaire and its performance in estimating nutrient intake compared with a 7-day diet diary in the million women study. Public Health Nutrition 8 :201–13.
  • Roe, L., C. Strong, C. Whiteside, A. Neil, and D. Mant. 1994. Dietary intervention in primary care: Validity of the DINE method for diet assessment. Family Practice 11 (4):375–81.
  • Rollo, M. E., R. L. Williams, T. Burrows, S. I. Kirkpatrick, T. Bucher, and C. E. Collins. 2016. What are they really eating? A review on new approaches to dietary intake assessment and validation. Current Nutrition Reports 5 (4):307–14. doi: https://doi.org/10.1007/s13668-016-0182-6.
  • Samaras, K., P. J. Kelly, M. N. Chiano, N. Arden, T. D. Spector, and L. V. Campbell. 1998. Genes versus environment. The relationship between dietary fat and total and central abdominal fat. Diabetes Care 21 (12):2069–76.
  • Satija, A., E. Yu, W. C. Willett, and F. B. Hu. 2015. Understanding nutritional epidemiology and its role in policy. Advances in Nutrition 6 (1):5–18. doi: https://doi.org/10.3945/an.114.007492.
  • Serra-Majem, L., K. Pfrimer, J. Doreste-Alonso, L. Ribas-Barba, A. Sánchez-Villegas, A. Ortiz-Andrellucchi, and P. Henríquez-Sánchez. 2009. Dietary assessment methods for intakes of iron, calcium, selenium, zinc and iodine. British Journal of Nutrition 102 (S1):S38–S55. doi: https://doi.org/10.1017/S0007114509993138.
  • Sevak, L., P. Mangtani, V. McCormack, D. Bhakta, T. Kassam-Khamis, and I. dos Santos Silva. 2004. Validation of a food frequency questionnaire to assess macro- and micro-nutrient intake among South Asians in the United Kingdom. European Journal of Nutrition 43 (3):160–8.
  • Sharp, D. B., and M. Allman-Farinelli. 2014. Feasibility and validity of mobile phones to assess dietary intake. Nutrition (Burbank, Los Angeles County, Calif.) 30 (11–12):1257–66.
  • Shim, J.-S., K. Oh, and H. C. Kim. 2014. Dietary assessment methods in epidemiologic studies. Epidemiology and Health 36:e2014009.
  • Shriver, B. J., C. R. Roman-Shriver, and J. D. Long. 2010. Technology-based methods of dietary assessment: recent developments and considerations for clinical practice. Current Opinion in Clinical Nutrition and Metabolic Care 13 (5):548–51.
  • Silva T. d. A., and S. M. L. Vasconcelos. 2012. Methodological procedures used in food frequency questionnaires made in Brazil: A systematic review. Revista de Nutrição 25 :785–97.
  • Sofianou-Katsoulis, A., D. Mesher, P. Sasieni, G. Du Toit, A. T. Fox, and G. Lack. 2011. Assessing peanut consumption in a population of mothers and their children in the UK: Validation study of a food frequency questionnaire. World Allergy Organization Journal 4 :38.
  • Statacorp. 2015. Stata statistical software: Release 14. College Sttion TX: Statacorp LP.
  • Thompson, F. E., and A. F. Subar. 2008. Dietary assessment methodology. Nutrition in the Prevention and Treatment of Disease 2 :3–39.
  • Thompson, F. E., A. F. Subar, C. M. Loria, J. L. Reedy, and T. Baranowski. 2010. Need for technological innovation in dietary assessment. Journal of the American Dietetic Association 110 (1):48.
  • Thompson, R. L., and B. M. Margetts. 1993. Comparison of a food frequency questionnaire with a 10-day weighed record in cigarette smokers. International Journal of Epidemiology 22 (5):824–33.
  • Timon, C. M., R. van den Barg, R. J. Blain, L. Kehoe, K. Evans, J. Walton, A. Flynn, and E. R. Gibney. 2016. A review of the design and validation of web- and computer-based 24-h dietary recall tools. Nutrition Research Reviews 29 (2):268–80.
  • Timon, C. M., A. J. Astell, F. Hwang, T. D. Adlam, T. Smith, L. Maclean, D. Spurr, S. E. Forster, and E. A. Williams. 2015. The validation of a computer-based food record for older adults: The novel assessment of nutrition and ageing (NANA) method. The British Journal of Nutrition 113 (4):654–64.
  • Venter, C., B. Higgins, J. Grundy, C. B. Clayton, C. Gant, and T. Dean. 2006. Reliability and validity of a maternal food frequency questionnaire designed to estimate consumption of common food allergens. Journal of Human Nutrition and Dietetics 19 (2):129–38. doi: https://doi.org/10.1111/j.1365-277X.2006.00677.x.
  • Verkasalo, P. K., P. N. Appleby, N. E. Allen, G. Davey, H. Adlercreutz, and T. J. Key. 2001. Soya intake and plasma concentrations of Daidzein and Genistein: Validity of dietary assessment among eighty British women (Oxford arm of the European prospective investigation into cancer and nutrition). The British Journal of Nutrition 86 (3):415–21.
  • Wakai, K. 2009. A review of food frequency questionnaires developed and validated in Japan. Journal of Epidemiology 19 (1):1–11.
  • Wojtusiak, J., C. Gewa, and L. Pawloski. 2011. Dietary assessment in Africa: Integration with innovative technology. African Journal of Food, Agriculture, Nutrition and Development 11:5629–45.
  • Yarnell, J., A. Fehily, J. Milbank, P. Sweetnam, and C. Walker. 1983. A short dietary questionnaire for use in an epidemiological survey: Comparison with weighed dietary records. Human Nutrition Applied Nutrition 37:103–12.

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