Application of the 24-hour Recall Methodology Assisted by Digital Photographs for the Analysis of Dietary Intake
IngFood
1 other identifier
observational
20
1 country
1
Brief Summary
With this project, the investigators expect to standardize a reliable and optimized methodology based on a 24-hour recall tool assisted by digital photographs with a complete output of foods and nutritional information for the Colombian population.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Oct 2022
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 18, 2022
CompletedFirst Submitted
Initial submission to the registry
October 20, 2022
CompletedFirst Posted
Study publicly available on registry
November 9, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 15, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
December 30, 2022
CompletedJuly 23, 2024
July 1, 2024
2 months
October 20, 2022
July 19, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The extent of agreement between the 24-hour dietary recall assisted with digital photography and food weighing in energy and nutrient reporting.
The average of the two 24 hour periods within each method. Bland Altman analysis of energy and macronutrient (carbohydrates, fat, protein) intake.
Through study completion, an avarege of 1 month
Secondary Outcomes (12)
The average protein intake (g/day)
Through study completion, an avarege of 1 month
The average sodium intake (mg/day)
Through study completion, an avarege of 1 month
The average potassium intake (mg/day)
Through study completion, an avarege of 1 month
The average plasma vitamin C (mg/dL)
Through study completion, an avarege of 1 month
The average plasma vitamin B1 (nmol/L)
Through study completion, an avarege of 1 month
- +7 more secondary outcomes
Eligibility Criteria
Twenty subjects, general population. Participants should not change their dietary habits during the study.
You may qualify if:
- Men and women older than 18 years
- Who owns a smartphone.
- Autonomous in the use of a smartphone.
- With internet access.
You may not qualify if:
- Subjects who do not photograph the food and/or do not record them.
- Subjects that do not accept the interview for the clarification of doubts related to the food after the photographic report.
- People who can not stay at home for at least the evaluation days to facilitate the weighing of food.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Vidarium, Nutrition, Health and Wellness Research Center
MedellĂn, Antioquia, 050023, Colombia
Related Publications (49)
Nelson M, Atkinson M, Darbyshire S. Food photography II: use of food photographs for estimating portion size and the nutrient content of meals. Br J Nutr. 1996 Jul;76(1):31-49. doi: 10.1079/bjn19960007.
PMID: 8774215BACKGROUNDBlanton CA, Moshfegh AJ, Baer DJ, Kretsch MJ. The USDA Automated Multiple-Pass Method accurately estimates group total energy and nutrient intake. J Nutr. 2006 Oct;136(10):2594-9. doi: 10.1093/jn/136.10.2594.
PMID: 16988132BACKGROUNDFlax VL, Thakwalakwa C, Schnefke CH, Stobaugh H, Phuka JC, Coates J, Rogers B, Bell W, Colaiezzi B, Muth MK. Validation of a digitally displayed photographic food portion-size estimation aid among women in urban and rural Malawi. Public Health Nutr. 2019 Dec;22(17):3140-3150. doi: 10.1017/S1368980019002428. Epub 2019 Sep 9.
PMID: 31496453BACKGROUNDNaska A, Valanou E, Peppa E, Katsoulis M, Barbouni A, Trichopoulou A. Evaluation of a digital food photography atlas used as portion size measurement aid in dietary surveys in Greece. Public Health Nutr. 2016 Sep;19(13):2369-76. doi: 10.1017/S1368980016000227. Epub 2016 Feb 26.
PMID: 26917048BACKGROUNDNichelle PG, Almeida CCB, Camey SA, Garmus LM, Elias VCM, Marchioni DM, da Silva DG, Ocke MC, Slimani N, Fisberg RM, Crispim SP. Subjects' Perception in Quantifying Printed and Digital Photos of Food Portions. Nutrients. 2019 Feb 27;11(3):501. doi: 10.3390/nu11030501.
PMID: 30818798BACKGROUNDBouchoucha M, Akrout M, Bellali H, Bouchoucha R, Tarhouni F, Mansour AB, Zouari B. Development and validation of a food photography manual, as a tool for estimation of food portion size in epidemiological dietary surveys in Tunisia. Libyan J Med. 2016 Aug 31;11:32676. doi: 10.3402/ljm.v11.32676. eCollection 2016.
PMID: 27585631BACKGROUNDPark Y, Dodd KW, Kipnis V, Thompson FE, Potischman N, Schoeller DA, Baer DJ, Midthune D, Troiano RP, Bowles H, Subar AF. Comparison of self-reported dietary intakes from the Automated Self-Administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers. Am J Clin Nutr. 2018 Jan 1;107(1):80-93. doi: 10.1093/ajcn/nqx002.
PMID: 29381789BACKGROUNDAmougou N, Cohen E, Mbala ML, Grosdidier B, Bernard JY, Said-Mohamed R, Pasquet P. Development and validation of two food portion photograph books to assess dietary intake among adults and children in Central Africa. Br J Nutr. 2016 Mar 14;115(5):895-902. doi: 10.1017/S0007114515005401. Epub 2016 Jan 20.
PMID: 26786057BACKGROUNDPrevidelli AN, Gomez G, Kovalskys I, Fisberg M, Cortes LY, Pareja RG, Liria MR, Garcia MCY, Herrera-Cuenca M, Rigotti A, Guajardo V, Zimberg IZ, Murillo AG; ELANS Study Group. Prevalence and determinants of misreporting of energy intake among Latin American populations: results from ELANS study. Nutr Res. 2019 Aug;68:9-18. doi: 10.1016/j.nutres.2019.05.007. Epub 2019 May 28.
PMID: 31247522BACKGROUNDMartin CK, Han H, Coulon SM, Allen HR, Champagne CM, Anton SD. A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method. Br J Nutr. 2009 Feb;101(3):446-56. doi: 10.1017/S0007114508027438. Epub 2008 Jul 11.
PMID: 18616837BACKGROUNDMartin CK, Kaya S, Gunturk BK. Quantification of food intake using food image analysis. Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6869-72. doi: 10.1109/IEMBS.2009.5333123.
PMID: 19964186BACKGROUNDInstitute of Medicine (US) Food and Nutrition Board. Dietary Reference Intakes: A Risk Assessment Model for Establishing Upper Intake Levels for Nutrients. Washington (DC): National Academies Press (US); 1998. Available from http://www.ncbi.nlm.nih.gov/books/NBK45189/
PMID: 20845565BACKGROUNDOrtega RM, Perez-Rodrigo C, Lopez-Sobaler AM. Dietary assessment methods: dietary records. Nutr Hosp. 2015 Feb 26;31 Suppl 3:38-45. doi: 10.3305/nh.2015.31.sup3.8749.
PMID: 25719769BACKGROUNDLam YY, Ravussin E. Analysis of energy metabolism in humans: A review of methodologies. Mol Metab. 2016 Sep 20;5(11):1057-1071. doi: 10.1016/j.molmet.2016.09.005. eCollection 2016 Nov.
PMID: 27818932BACKGROUNDPoslusna K, Ruprich J, de Vries JH, Jakubikova M, van't Veer P. Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice. Br J Nutr. 2009 Jul;101 Suppl 2:S73-85. doi: 10.1017/S0007114509990602.
PMID: 19594967BACKGROUNDVenter CS, MacIntyre UE, Vorster HH. The development and testing of a food portion photograph book for use in an African population. J Hum Nutr Diet. 2000 Jun;13(3):205-218. doi: 10.1046/j.1365-277x.2000.00228.x.
PMID: 12383127BACKGROUNDSubar AF, Crafts J, Zimmerman TP, Wilson M, Mittl B, Islam NG, McNutt S, Potischman N, Buday R, Hull SG, Baranowski T, Guenther PM, Willis G, Tapia R, Thompson FE. 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. J Am Diet Assoc. 2010 Jan;110(1):55-64. doi: 10.1016/j.jada.2009.10.007.
PMID: 20102828BACKGROUNDAlemayehu AA, Abebe Y, Gibson RS. A 24-h recall does not provide a valid estimate of absolute nutrient intakes for rural women in southern Ethiopia. Nutrition. 2011 Sep;27(9):919-24. doi: 10.1016/j.nut.2010.10.015. Epub 2011 Feb 3.
PMID: 21295444BACKGROUNDLazarte CE, Encinas ME, Alegre C, Granfeldt Y. Validation of digital photographs, as a tool in 24-h recall, for the improvement of dietary assessment among rural populations in developing countries. Nutr J. 2012 Aug 29;11:61. doi: 10.1186/1475-2891-11-61.
PMID: 22931128BACKGROUNDSchoeller DA, Ravussin E, Schutz Y, Acheson KJ, Baertschi P, Jequier E. Energy expenditure by doubly labeled water: validation in humans and proposed calculation. Am J Physiol. 1986 May;250(5 Pt 2):R823-30. doi: 10.1152/ajpregu.1986.250.5.R823.
PMID: 3085521BACKGROUNDRacette SB, Schoeller DA, Luke AH, Shay K, Hnilicka J, Kushner RF. Relative dilution spaces of 2H- and 18O-labeled water in humans. Am J Physiol. 1994 Oct;267(4 Pt 1):E585-90. doi: 10.1152/ajpendo.1994.267.4.E585.
PMID: 7943308BACKGROUNDBingham SA, Cummings JH. Urine nitrogen as an independent validatory measure of dietary intake: a study of nitrogen balance in individuals consuming their normal diet. Am J Clin Nutr. 1985 Dec;42(6):1276-89. doi: 10.1093/ajcn/42.6.1276.
PMID: 4072961BACKGROUNDMickelsen O, Makdani D, Gill JL, Frank RL. Sodium and potassium intakes and excretions of normal men consuming sodium chloride or a 1:1 mixture of sodium and potassium chlorides. Am J Clin Nutr. 1977 Dec;30(12):2033-40. doi: 10.1093/ajcn/30.12.2033.
PMID: 930873BACKGROUNDLuft FC, Fineberg NS, Sloan RS. Estimating dietary sodium intake in individuals receiving a randomly fluctuating intake. Hypertension. 1982 Nov-Dec;4(6):805-8. doi: 10.1161/01.hyp.4.6.805.
PMID: 7141607BACKGROUNDFerguson LR, De Caterina R, Gorman U, Allayee H, Kohlmeier M, Prasad C, Choi MS, Curi R, de Luis DA, Gil A, Kang JX, Martin RL, Milagro FI, Nicoletti CF, Nonino CB, Ordovas JM, Parslow VR, Portillo MP, Santos JL, Serhan CN, Simopoulos AP, Velazquez-Arellano A, Zulet MA, Martinez JA. Guide and Position of the International Society of Nutrigenetics/Nutrigenomics on Personalised Nutrition: Part 1 - Fields of Precision Nutrition. J Nutrigenet Nutrigenomics. 2016;9(1):12-27. doi: 10.1159/000445350. Epub 2016 May 12.
PMID: 27169401BACKGROUNDTueni M, Mounayar A, Birlouez-Aragon I. Development and evaluation of a photographic atlas as a tool for dietary assessment studies in Middle East cultures. Public Health Nutr. 2012 Jun;15(6):1023-8. doi: 10.1017/S1368980012000171. Epub 2012 Feb 10.
PMID: 22321915BACKGROUNDHuybregts L, Roberfroid D, Lachat C, Van Camp J, Kolsteren P. Validity of photographs for food portion estimation in a rural West African setting. Public Health Nutr. 2008 Jun;11(6):581-7. doi: 10.1017/S1368980007000870. Epub 2007 Aug 9.
PMID: 17686204BACKGROUNDHarris-Fry H, Paudel P, Karn M, Mishra N, Thakur J, Paudel V, Harrisson T, Shrestha B, Manandhar DS, Costello A, Cortina-Borja M, Saville N. Development and validation of a photographic food atlas for portion size assessment in the southern plains of Nepal. Public Health Nutr. 2016 Oct;19(14):2495-507. doi: 10.1017/S1368980016000537. Epub 2016 Mar 21.
PMID: 26996822BACKGROUNDMartin CK, Nicklas T, Gunturk B, Correa JB, Allen HR, Champagne C. Measuring food intake with digital photography. J Hum Nutr Diet. 2014 Jan;27 Suppl 1(0 1):72-81. doi: 10.1111/jhn.12014. Epub 2013 Jul 15.
PMID: 23848588BACKGROUNDGibson RS, Charrondiere UR, Bell W. Measurement Errors in Dietary Assessment Using Self-Reported 24-Hour Recalls in Low-Income Countries and Strategies for Their Prevention. Adv Nutr. 2017 Nov 15;8(6):980-991. doi: 10.3945/an.117.016980. Print 2017 Nov.
PMID: 29141979BACKGROUNDGemming L, Utter J, Ni Mhurchu C. Image-assisted dietary assessment: a systematic review of the evidence. J Acad Nutr Diet. 2015 Jan;115(1):64-77. doi: 10.1016/j.jand.2014.09.015. Epub 2014 Nov 11.
PMID: 25441955BACKGROUNDMartin CK, Correa JB, Han H, Allen HR, Rood JC, Champagne CM, Gunturk BK, Bray GA. Validity of the Remote Food Photography Method (RFPM) for estimating energy and nutrient intake in near real-time. Obesity (Silver Spring). 2012 Apr;20(4):891-9. doi: 10.1038/oby.2011.344. Epub 2011 Dec 1.
PMID: 22134199BACKGROUNDZhu F, Bosch M, Woo I, Kim S, Boushey CJ, Ebert DS, Delp EJ. The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation. IEEE J Sel Top Signal Process. 2010 Aug;4(4):756-766. doi: 10.1109/JSTSP.2010.2051471.
PMID: 20862266BACKGROUNDNeveu V, Perez-Jimenez J, Vos F, Crespy V, du Chaffaut L, Mennen L, Knox C, Eisner R, Cruz J, Wishart D, Scalbert A. Phenol-Explorer: an online comprehensive database on polyphenol contents in foods. Database (Oxford). 2010;2010:bap024. doi: 10.1093/database/bap024. Epub 2010 Jan 8.
PMID: 20428313BACKGROUNDFreedman LS, Commins JM, Moler JE, Willett W, Tinker LF, Subar AF, Spiegelman D, Rhodes D, Potischman N, Neuhouser ML, Moshfegh AJ, Kipnis V, Arab L, Prentice RL. Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for potassium and sodium intake. Am J Epidemiol. 2015 Apr 1;181(7):473-87. doi: 10.1093/aje/kwu325. Epub 2015 Mar 18.
PMID: 25787264BACKGROUNDMaximova K, Khodayari Moez E, Dabravolskaj J, Ferdinands AR, Dinu I, Lo Siou G, Al Rajabi A, Veugelers PJ. Co-consumption of Vegetables and Fruit, Whole Grains, and Fiber Reduces the Cancer Risk of Red and Processed Meat in a Large Prospective Cohort of Adults from Alberta's Tomorrow Project. Nutrients. 2020 Jul 29;12(8):2265. doi: 10.3390/nu12082265.
PMID: 32751091BACKGROUNDWagner S, Lioret S, Girerd N, Duarte K, Lamiral Z, Bozec E, Van den Berghe L, Hoge A, Donneau AF, Boivin JM, Merckle L, Zannad F, Laville M, Rossignol P, Nazare JA. Association of Dietary Patterns Derived Using Reduced-Rank Regression With Subclinical Cardiovascular Damage According to Generation and Sex in the STANISLAS Cohort. J Am Heart Assoc. 2020 Apr 7;9(7):e013836. doi: 10.1161/JAHA.119.013836. Epub 2020 Mar 21.
PMID: 32200718BACKGROUNDGarcia-Vega AS, Corrales-Agudelo V, Reyes A, Escobar JS. Diet Quality, Food Groups and Nutrients Associated with the Gut Microbiota in a Nonwestern Population. Nutrients. 2020 Sep 25;12(10):2938. doi: 10.3390/nu12102938.
PMID: 32992776BACKGROUNDDavid LA, Maurice CF, Carmody RN, Gootenberg DB, Button JE, Wolfe BE, Ling AV, Devlin AS, Varma Y, Fischbach MA, Biddinger SB, Dutton RJ, Turnbaugh PJ. Diet rapidly and reproducibly alters the human gut microbiome. Nature. 2014 Jan 23;505(7484):559-63. doi: 10.1038/nature12820. Epub 2013 Dec 11.
PMID: 24336217BACKGROUNDBoulange CL, Neves AL, Chilloux J, Nicholson JK, Dumas ME. Impact of the gut microbiota on inflammation, obesity, and metabolic disease. Genome Med. 2016 Apr 20;8(1):42. doi: 10.1186/s13073-016-0303-2.
PMID: 27098727BACKGROUNDMullan A, Delles C, Ferrell W, Mullen W, Edwards CA, McColl JH, Roberts SA, Lean ME, Sattar N. Effects of a beverage rich in (poly)phenols on established and novel risk markers for vascular disease in medically uncomplicated overweight or obese subjects: A four week randomized placebo-controlled trial. Atherosclerosis. 2016 Mar;246:169-76. doi: 10.1016/j.atherosclerosis.2016.01.004. Epub 2016 Jan 6.
PMID: 26797134BACKGROUNDTresserra-Rimbau A, Medina-Remon A, Perez-Jimenez J, Martinez-Gonzalez MA, Covas MI, Corella D, Salas-Salvado J, Gomez-Gracia E, Lapetra J, Aros F, Fiol M, Ros E, Serra-Majem L, Pinto X, Munoz MA, Saez GT, Ruiz-Gutierrez V, Warnberg J, Estruch R, Lamuela-Raventos RM. Dietary intake and major food sources of polyphenols in a Spanish population at high cardiovascular risk: the PREDIMED study. Nutr Metab Cardiovasc Dis. 2013 Oct;23(10):953-9. doi: 10.1016/j.numecd.2012.10.008. Epub 2013 Jan 17.
PMID: 23332727BACKGROUNDPREDIMED study investigators. Intake of Total Polyphenols and Some Classes of Polyphenols Is Inversely Associated with Diabetes in Elderly People at High Cardiovascular Disease Risk. J Nutr. 2015 Apr 1;146(4):767-777. doi: 10.3945/jn.115.223610.
PMID: 26962181BACKGROUNDFreedman LS, Commins JM, Moler JE, Arab L, Baer DJ, Kipnis V, Midthune D, Moshfegh AJ, Neuhouser ML, Prentice RL, Schatzkin A, Spiegelman D, Subar AF, Tinker LF, Willett W. Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake. Am J Epidemiol. 2014 Jul 15;180(2):172-88. doi: 10.1093/aje/kwu116. Epub 2014 Jun 10.
PMID: 24918187BACKGROUNDHolbrook JT, Patterson KY, Bodner JE, Douglas LW, Veillon C, Kelsay JL, Mertz W, Smith JC Jr. Sodium and potassium intake and balance in adults consuming self-selected diets. Am J Clin Nutr. 1984 Oct;40(4):786-93. doi: 10.1093/ajcn/40.4.786.
PMID: 6486085BACKGROUNDReese AT, Kartzinel TR, Petrone BL, Turnbaugh PJ, Pringle RM, David LA. Using DNA Metabarcoding To Evaluate the Plant Component of Human Diets: a Proof of Concept. mSystems. 2019 Oct 8;4(5):e00458-19. doi: 10.1128/mSystems.00458-19.
PMID: 31594830BACKGROUNDTaberlet P, Coissac E, Pompanon F, Gielly L, Miquel C, Valentini A, Vermat T, Corthier G, Brochmann C, Willerslev E. Power and limitations of the chloroplast trnL (UAA) intron for plant DNA barcoding. Nucleic Acids Res. 2007;35(3):e14. doi: 10.1093/nar/gkl938. Epub 2006 Dec 14.
PMID: 17169982BACKGROUNDKartzinel TR, Hsing JC, Musili PM, Brown BRP, Pringle RM. Covariation of diet and gut microbiome in African megafauna. Proc Natl Acad Sci U S A. 2019 Nov 19;116(47):23588-23593. doi: 10.1073/pnas.1905666116. Epub 2019 Nov 4.
PMID: 31685619BACKGROUNDMedina-Remon A, Barrionuevo-Gonzalez A, Zamora-Ros R, Andres-Lacueva C, Estruch R, Martinez-Gonzalez MA, Diez-Espino J, Lamuela-Raventos RM. Rapid Folin-Ciocalteu method using microtiter 96-well plate cartridges for solid phase extraction to assess urinary total phenolic compounds, as a biomarker of total polyphenols intake. Anal Chim Acta. 2009 Feb 16;634(1):54-60. doi: 10.1016/j.aca.2008.12.012. Epub 2008 Dec 13.
PMID: 19154810BACKGROUND
Biospecimen
Feces
Study Officials
- PRINCIPAL INVESTIGATOR
Vanessa Corrales Aguadelo, Msc
Vidarium, Research Center on Nutrition, Health and Wellness - Nutresa Business Group
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Researcher
Study Record Dates
First Submitted
October 20, 2022
First Posted
November 9, 2022
Study Start
October 18, 2022
Primary Completion
December 15, 2022
Study Completion
December 30, 2022
Last Updated
July 23, 2024
Record last verified: 2024-07
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- SAP, CSR, ANALYTIC CODE
- Time Frame
- The data will be available when the results are published.
- Access Criteria
- Public
The data will be available when the results are published. The data can be obtained by downloading from the cloud (ex: NCBI-SRA or Github)