Dietary IntakeIngFoodNCT05610137
Application of the 24-hour Recall Methodology Assisted by Digital Photographs for the Analysis of Dietary Intake
An observational study of Dietary Intake, run by Vanessa Corrales Agudelo at 1 site in Colombia.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 to 70 yearsHealthy volunteers can take part
- Conditions the study is for
- Dietary Intake
- How many people
- 20 participants
- Where
- 1 siteColombia
- Study dates
- 18 Oct 2022to 30 Dec 2022
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 70 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Twenty subjects, general population. Participants should not change their dietary habits during the study.
Who may be able to join
- Men and women older than 18 years
- Who owns a smartphone.
- Autonomous in the use of a smartphone.
- With internet access.
Who cannot join
- 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.
Trial locations and contacts
1 site in 1 country.
Colombia1 site
Vidarium, Nutrition, Health and Wellness Research Center
Medellín, Antioquia, 050023
About this study
Official title: Application of the 24-hour Recall Methodology Assisted by Digital Photographs and Homologation With Colombian Foods for the Analysis of Dietary Intake
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.
Read the detailed description
After recruitment, participants (20) will receive a detailed explanation of the objectives and conditions of the study and will sign the informed consent. Dietary intake assessments will be conducted using 24-hour dietary recalls, assisted with digital photographs registry of the food and beverages consumed, and a brief description (the two 24 dietary recalls will be applied on different and non-consecutive days). Simultaneously, food weighing using a home kitchen scale and drink volume measurements will be used as a reference. For the analysis of nutritional information, the daily food intake extracted from food photologs will be entered into the automated Self-Administered Dietary Assessment Tool (ASA24®). Macro- and micronutrient intake using the actual food weights recorded by the participants, will be estimated from the USDA FNDDS 2017-2018 database, and polyphenols composition from a phenol database.
On the day of each 24-h dietary recall, participants will collect a 24-h urine sample to assess their protein, sodium, and potassium intake. Additionally, the day after each 24 dietary recall, participants will also provide blood samples to determine circulating levels of vitamin C, vitamin B1, vitamin K1, folate, zinc, copper, and beta-carotene; and fecal samples to identify vegetable species in feces.
- Conditions
- Dietary Intake
- Keywords
- Dietary intake, 24-hour recall, Biomarkers
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: Through study completion, an avarege of 1 month
Secondary outcomes (12)
The average protein intake (g/day)
Protein intake is estimated based on the concept that nitrogen-containing products of dietary protein plus nitrogenous products of endogenous protein breakdown are excreted as either urea or non-urea nitrogen. The urea nitrogen appearance (UNA) rate is measured as the amount of urea excreted in urine plus the net amount accumulated in body water. Protein intake is urine nitrogen excreted in grams/day + (weight in kilograms X 0.031g nitrogen/kg/day) multiplied by 6.25. These calculated values are very close to actual nitrogen or protein intake values.
Measured: Through study completion, an avarege of 1 month
The average sodium intake (mg/day)
24-hour urinary sodium excretion is the most accurate estimate of daily sodium intake and is not subject to recall bias. About 90% of the sodium consumed (from all sources) is excreted in the urine. Sodium intake (mg/day) is sodium in 24-h urine (adjusted for % of intake excreted in urine) multiplied by the total urine volume.
Measured: Through study completion, an avarege of 1 month
The average potassium intake (mg/day)
24-hour urinary potassium excretion is the most accurate estimate of daily intake and is not subject to recall bias. Therefore, potassium intake (mg/day) is potassium in 24-h urine (adjusted for % of intake excreted in urine) multiplied by the total urine volume.
Measured: Through study completion, an avarege of 1 month
The average plasma vitamin C (mg/dL)
Humans, unlike most animals, are unable to synthesize vitamin C endogenously, so it is an essential dietary component. Plasma levels of this vitamin commonly measured by HPLC are considered as circulating values of the micronutrient and represent the recent intake. References values range 0.4-2.0 mg/dL
Measured: Through study completion, an avarege of 1 month
The average plasma vitamin B1 (nmol/L)
Levels of this vitamin measured by High-Performance Liquid Chromatography (HPLC) in blood is a sensitive, specific, and precise method for determining the nutritional status of thiamine. Thiamine is obtained from the diet and body stores are limited. Circulating values of the micronutrient and represent the recent intake. References values range 70-180 nmol/L
Measured: Through study completion, an avarege of 1 month
The average plasma vitamin K1 (phylloquinone) (ng/mL)
The concentration of this vitamin measured by High-Performance Liquid Chromatography (HPLC) in fasting serum is a strong indicator of dietary intake and status. Circulating values of the micronutrient and representing the recent intake. References values in adults > 18 years range: 0.10-2.20 ng/mL.
Measured: Through study completion, an avarege of 1 month
The average serum folate (N-(5)-methyl tetrahydrofolate) (ug/L)
Approximately 20% of the folate absorbed daily is derived from dietary sources; the remainder is synthesized by intestinal microorganisms. The level of this vitamin is measured by chemiluminescent immunoassay and is a strong indicator of dietary intake. Normal or elevated circulating values of this micronutrient represent the recent intake. Reference values in adults are ≥ 4.0 ug/L.
Measured: Through study completion, an avarege of 1 month
The average serum copper (ug/dL)
The concentration of this microelement is measured by flame atomic absorption spectrometry and is a strong indicator of dietary intake. Values of this micronutrient represent the recent intake. Reference values in adults range from 73-129 ug/dL in Males: and 77-206 ug/dL in females
Measured: Through study completion, an avarege of 1 month
The average serum zinc ug/dL
Zinc is obtained entirely from the diet; it is analyzed in serum by inductively coupled plasma-mass spectrometry and is a strong indicator of dietary intake. Values of this micronutrient represent the recent intake. Normal serum zinc levels range from 66 to 106 ug/dL in adults.
Measured: Through study completion, an avarege of 1 month
The average beta-carotene (ug/dL)
Beta-carotene, a fat-soluble nutrient, is a precursor to vitamin A and is analyzed in serum spectrometry and is a reflection of the quantities of carotene (provitamin A) ingested and absorbed by the intestine. Values of this micronutrient represent the recent intake. Normal serum beta-carotene levels range 4-51 ug/dL in males: and 6-77 ug/dL in females.
Measured: Through study completion, an avarege of 1 month
The average polyphenols intake (mg/GAE/day)
Polyphenols are an important class of phytochemicals related with health. They will be estimated from the 24 dietary recalls coupled with a food polyphenols database.
Measured: Through study completion, an avarege of 1 month
The average abundance vegetable species in the stool
High-throughput sequencing technologies have provided an efficient approach for assessing plant diversity combining various bioinformatics pipelines to assign DNA sequences into species.
Measured: Through study completion, an avarege of 1 month
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted9 Nov 2022
- Study start18 Oct 2022
- Primary completion15 Dec 2022
- Study completion30 Dec 2022
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (49)Papers the sponsor has linked to this study.
- Other trials for Dietary IntakeStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 20 participants (actual)
Sponsor and investigators
- Lead sponsor
- Vanessa Corrales Agudelo
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, Vanessa Corrales Agudelo, Vidarium, Nutrition, Health and Wellness Research Center
- Investigators
- Vanessa Corrales Aguadelo, Msc, Principal investigator, Vidarium, Research Center on Nutrition, Health and Wellness - Nutresa Business Group
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05610137
- Sponsor's protocol ID
- FC001-2022
- Acronym
- IngFood
- Status last verified
- Jul 2024
- First submitted
- 20 Oct 2022
- Last updated
- 23 Jul 2024
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: 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)
Publications
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.
PubMed 8774215Blanton 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.
PubMed 16988132Flax 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.
PubMed 31496453Naska 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.
PubMed 26917048Nichelle 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.
PubMed 30818798Bouchoucha 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.
PubMed 27585631Park 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.
PubMed 29381789Amougou 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.
PubMed 26786057Previdelli 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.
PubMed 31247522Martin 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.
PubMed 18616837Martin 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.
PubMed 19964186Institute 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/
PubMed 20845565Ortega 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.
PubMed 25719769Lam 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.
PubMed 27818932Poslusna 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.
PubMed 19594967
Study at a glance
From the registry record, last updated by the sponsor on 23 Jul 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Application of the 24-hour Recall Methodology Assisted by Digital Photographs and Homologation With Colombian Foods for the Analysis of Dietary Intake
- ClinicalTrials.gov ID
- NCT05610137
- Acronym / sponsor ID
- IngFood / FC001-2022
- Conditions
- Dietary Intake
- Keywords
- Dietary intake, 24-hour recall, Biomarkers
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 20 participants (actual)
- Lead sponsor
- Vanessa Corrales AgudeloUniversity, hospital or other
- Study start
- 18 Oct 2022 (actual)
- Primary completion
- 15 Dec 2022 (actual)
- Study completion
- 30 Dec 2022 (actual)
- First posted
- 9 Nov 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
After recruitment, participants (20) will receive a detailed explanation of the objectives and conditions of the study and will sign the informed consent. Dietary intake assessments will be conducted using 24-hour dietary recalls, assisted with digital photographs registry of the food and beverages consumed, and a brief description (the two 24 dietary recalls will be applied on different and non-consecutive days). Simultaneously, food weighing using a home kitchen scale and drink volume measurements will be used as a reference. For the analysis of nutritional information, the daily food intake extracted from food photologs will be entered into the automated Self-Administered Dietary Assessment Tool (ASA24®). Macro- and micronutrient intake using the actual food weights recorded by the participants, will be estimated from the USDA FNDDS 2017-2018 database, and polyphenols composition from a phenol database.
On the day of each 24-h dietary recall, participants will collect a 24-h urine sample to assess their protein, sodium, and potassium intake. Additionally, the day after each 24 dietary recall, participants will also provide blood samples to determine circulating levels of vitamin C, vitamin B1, vitamin K1, folate, zinc, copper, and beta-carotene; and fecal samples to identify vegetable species in feces.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 to 70 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Twenty subjects, general population. Participants should not change their dietary habits during the study.
Key inclusion criteria (4 listed)
- Men and women older than 18 years
- Who owns a smartphone.
- Autonomous in the use of a smartphone.
- With internet access.
Key exclusion criteria (3 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
The extent of agreement between the 24-hour dietary recall assisted with digital photography and food weighing in energy and nutrient reporting.
Time frame: Through study completion, an avarege of 1 month
The average of the two 24 hour periods within each method. Bland Altman analysis of energy and macronutrient (carbohydrates, fat, protein) intake.
12 secondary outcomes
The average protein intake (g/day)
Time frame: Through study completion, an avarege of 1 month
The average sodium intake (mg/day)
Time frame: Through study completion, an avarege of 1 month
The average potassium intake (mg/day)
Time frame: Through study completion, an avarege of 1 month
The average plasma vitamin C (mg/dL)
Time frame: Through study completion, an avarege of 1 month
The average plasma vitamin B1 (nmol/L)
Time frame: Through study completion, an avarege of 1 month
The average plasma vitamin K1 (phylloquinone) (ng/mL)
Time frame: Through study completion, an avarege of 1 month
The average serum folate (N-(5)-methyl tetrahydrofolate) (ug/L)
Time frame: Through study completion, an avarege of 1 month
The average serum copper (ug/dL)
Time frame: Through study completion, an avarege of 1 month
The average serum zinc ug/dL
Time frame: Through study completion, an avarege of 1 month
The average beta-carotene (ug/dL)
Time frame: Through study completion, an avarege of 1 month
The average polyphenols intake (mg/GAE/day)
Time frame: Through study completion, an avarege of 1 month
The average abundance vegetable species in the stool
Time frame: Through study completion, an avarege of 1 month
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 23 Jul 2024.
- Background: PubMed 8774215Nelson 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.
- Background: PubMed 16988132Blanton 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.
- Background: PubMed 31496453Flax 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.
- Background: PubMed 26917048Naska 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.
- Background: PubMed 30818798Nichelle 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.
- Background: PubMed 27585631Bouchoucha 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.
- Background: PubMed 29381789Park 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.
- Background: PubMed 26786057Amougou 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.
- Background: PubMed 31247522Previdelli 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.
- Background: PubMed 18616837Martin 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.
- Background: PubMed 19964186Martin 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.
- Background: PubMed 20845565Institute 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/
- Individual participant dataSharing planned: Yes. 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)
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Vanessa Corrales Aguadelo, Msc principal investigator
Vidarium, Research Center on Nutrition, Health and Wellness - Nutresa Business Group
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Dietary Intake, run by Vanessa Corrales Agudelo at 1 site in Colombia.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 23 Jul 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Colombia. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
The extent of agreement between the 24-hour dietary recall assisted with digital photography and food weighing in energy and nutrient reporting. (time frame: Through study completion, an avarege of 1 month). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05610137, which also lists 49 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 23 Jul 2024.