ObesityDIPNCT06971666
Dietary Inflammatory Potential in Young Pleople With Obesity
An observational study of Obesity and Dietary Inflammatory Index (DII), run by Instituto Tecnológico y de Estudios Superiores de Occidente.
Trial summary
The increase in adipose tissue in the young population is one of the most important and worrying public health problems because it persists in adulthood, constituting a risk factor for chronic degenerative diseases with social, economic, and environmental effects. Read more about this study
- Who is it for?
- Ages 18 to 24 years
- Conditions the study is for
- Obesity, Dietary Inflammatory Index (DII)
- How many people
- 170 participants
- Where
- No sites listed yet
- Study dates
- 20 Jun 2025to 7 Jan 2027
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
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 24 years
- All sexes
- No healthy volunteers
- Adult
Study population: Individuals aged 18 to 24 years, diagnosed with obesity based on Body Mass Index (BMI), recruited from the Centro Universitario de Tonalá at the University of Guadalajara and ITESO between August 2024 and June 2025, residing in the Guadalajara Metropolitan Area.
Who may be able to join
- Both sexes with no gender exclusion
- Age between 18 and 24 years
- Body Mass Index (BMI) ≥ 30 kg/m²
- Signed informed consent
Who cannot join
- Pregnancy or expected pregnancy within the next month
- Women who are breastfeeding
- Diagnosed conditions such as: diabetes mellitus, hypertension, renal or hepatic insufficiency, infectious diseases, inflammatory diseases, or any neoplastic disease
- Conditions with dietary restrictions, such as celiac disease or history of gastric bypass surgery
- Active alcoholism with a daily intake exceeding 50 g/day
- Significant anticipated changes in diet or exercise within 15 days prior to the study's start
Show all 13Show fewer
- History of drug or medication abuse
- Eating disorders
- Participation in any study involving investigational products within the 3 months prior to the start of the study
- Treatment with anti-inflammatory drugs, antibiotics, and/or antidepressants in the month prior to the study's start
- Consumption of nutraceuticals containing prebiotics, probiotics, or immunomodulators within 15 days prior to the study's start
- Individuals who choose to discontinue participation after the data collection process has started.
- Individuals who do not consent to the collection of any of the required samples (blood, diet, or stool) during the data collection phase.
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
About this study
Official title: Relationship Between Dietary Inflammatory Potential, Markers of Inflammation, Microbiota and Risk of Anxiety and Depression in Young People With Obesity
The increase in adipose tissue in the young population is one of the most important and worrying public health problems because it persists in adulthood, constituting a risk factor for chronic degenerative diseases with social, economic, and environmental effects. The etiology of obesity is multifactorial and is associated with a low-intensity chronic inflammation process. Therefore, side effects of the digestive, nervous, endocrine, and immunological levels are closely related. Thus, understanding the impact of dietary components on the immune response and the pathophysiological complications of obesity will strengthen information on nutritional patterns with lower inflammatory implications.
Read the detailed description
- Background Obesity has become one of the most critical challenges in public health. It has become a global epidemic due to the exponential growth of obesity over the last 30 years, affecting developed and developing countries with a notable impact on the latter. In Mexico, the combined prevalence of overweight and obesity in adults is 75.2%, of which 36.9% correspond precisely to the prevalence of obesity. This pathology has a multifactorial etiology, links lifestyle, environment, and genetics, and is modulated by multiple interactions between psychological, cultural, and physiological factors. The World Health Organization defines obesity as the abnormal or excessive accumulation of adipose tissue, which can harm health. This accumulation of triglycerides in the adipocyte alters the secretion of specific molecules of the immune system, which causes a cascade of inflammation mediated by the secretion of inflammatory molecules. Likewise, it is observed that obese subjects present intestinal dysbiosis that leads to intestinal permeability that allows the passage of lipopolysaccharides from Gram-negative bacteria into the bloodstream. There, they are recognized as toxic agents by the immune system, and the secretion of inflammatory cytokines occurs. The immune response derived from increased adipose tissue and intestinal dysbiosis compromises different brain regions involved in regulating behavior, eating patterns, perception of satiety, and being involved in cognition and mood related to physical inactivity and more significant weight gain. The continuous circulation of inflammatory cytokines and their accumulation in organs, including the central nervous system, is a risk factor for altering neurotransmitters and signal transduction that could result in depression. In addition to the above, a close relationship has been reported between diet and the regulation of the inflammatory response, so changes in the dietary patterns of the Mexican population could be directly related not only to the excessive accumulation of adipose tissue but also to the persistent inflammatory response in this pathology. The Dietary Inflammatory Potential (DIP) tool has been used to evaluate the inflammation caused by an individual's diet based on their dietary inflammatory index (DII). The DII allows us to associate foods and their nutrients with markers that show pro-inflammatory or anti-inflammatory processes. Studies have analyzed the association of DIP with different diseases, such as vascular diseases, cancer, metabolic syndrome, and dysbiosis in patients with constipation. However, in the literature, three publications are identified that analyze DIP in people with obesity, where they consider that subjects with this disease already start from an inflammatory process. These studies evaluate this relationship between 20 and 60 years, which represents an extensive range of the population and implies a series of possible analysis biases inherent to the different age groups included in the sample and their metabolic and immunological particularities. It also stands out that none of these studies have been carried out in Mexico.
- General objective To evaluate the relationship between Dietary Inflammatory Potential, markers of inflammation, microbiota, and risk of anxiety and depression in young people with obesity.
- Hypothesis There is a relationship between Dietary Inflammatory Potential, inflammation markers, microbiota, risk of anxiety, and depression in young people with obesity.
- Methodology
An original observational, cross-sectional, analytical, and correlational study in young people with obesity diagnosed with Body Mass Index. As part of the techniques and procedures, height and weight will be measured using the ISAK methodology to obtain the body mass index (BMI) and body mass with Dual X-ray Densitometry. Meanwhile, changes in intestinal microbiota and immunological parameters will be determined using the sequencing technique and ProQuantum High-Sensitivity Immunoassays, respectively. Questionnaires for evaluation of alimentary frequency, diet diversity, physical activity, and symptoms of anxiety and depression will be done.
- Conditions
- Obesity, Dietary Inflammatory Index (DII)
- Keywords
- obesity, dietary inflammatory potential, dietary inflammatory index, inflammatory markers, gut microbiota, anxiety, depression
- Medical subject headings
- Obesity, Anxiety Disorders, Depression
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Observational, cross-sectional, analytical, and correlational | An observational, cross-sectional, analytical, and correlational study will be conducted on young individuals with obesity, diagnosed with Body Mass Index (BMI). The study aims to analyze the correlation between Dietary inflammatory potential (DIP), inflammatory markers, intestinal dysbiosis, exercise patterns, and the risk of anxiety and depression |
What is being measured
The primary outcome is the main question the study is designed to answer.
Dietary Assessment
Dietary intake will be estimated from a validated semiquantitative food frequency questionnaire (FFQ) that represents food consumption for the last 12 months. For each item, regular portion size will be established, and then frequencies of consumption will be available, ranging from "never" to "6 or more times/day". Energy and nutrient intakes will be obtained by multiplying the frequency by the serving size from Mexican food composition.
Measured: 1.5 years
Dietary Inflammatory Index, DII
For the Dietary Inflammatory index, 45 food parameters related (positively or negatively) to inflammatory markers such as IL beta, IL4, IL6, IL10, TNF alpha, and CRP will be used. The score for each dietary parameter will be multiplied by each participant's intake, resulting in a numerical score ranging from -8 to +8.
Measured: 1.5 years
Dietary Inflammatory Potential, DIP
The DIP will be obtained by analyzing the Dietary assessment and the Dietary Inflammatory Index intake, which will then be converted to a percentile score of 2 and subtracted by 1. The percentile score will be multiplied by the inflammatory effect score. All food parameters sill be summed to create the score. The score will be in quartiles: Q1, highly anti-inflammatory, Q2, anti-inflammatory, Q3, inflammatory; and Q4, highly inflammatory
Measured: 1.5 years
Secondary outcomes (12)
Inflammatory markers
For the determination of IL6, IL1 beta, IL10, and MCP-1 markers, a blood sample will be collected and then analyzed using the high-sensitivity ProQuantum™ technique. The assay workflow with one antibody incubation step prior to placing the plate in qPCR to determine levels of protein in picogram per milliliter, pg/mL.
Measured: 1.5 years
C-reactive protein (CRP)
Determination of C-reactive protein levels will be determined by measuring the protein in a blood sample by visual agglutination. The results will be reported as positive or negative.
Measured: 1.5 years
Intestinal microbiota
Analyses of intestinal microbiota will be performed by Rasmus sequencing on Illumina's MiSeq equipment. High-quality sequences will be classified into operational taxonomic units (OTUs) using the RDP database platform (Ribosomal Database Project) for the 16S rDNA gene with a bootstrap cutoff of 80%. Only OTUs representing more than 0.1% of the total sequences in each sample will be considered in subsequent statistical analyses.
Measured: 1.5 years
Height
Height (mt) will be recorded. The technique extension requires the subject to stand with the feet apart at a 45° angle and the heels together, the posterior aspect of the buttocks, and the upper back resting on the stadiometer. The head should be in the Frankfort plane. The subject is asked to take a deep breath and hold it; the scorer places the square, triangular piece firmly over the vertex, squeezing the hair as tightly as possible. The measurement will be taken at the end of a deep breath.
Measured: 1.5 years
Body weight
Body weight (kg) will be checked when the scale is in the zero register. Then, the subject will stand in the center of the scale without support, with the weight distributed evenly between both feet. The head should be elevated, and the eyes should look directly forward.
Measured: 1.5 years
Body Mass Index (BMI)
The body mass index (BMI) will be calculated by dividing the weight, previously obtained from the person evaluated, by the squared height (mt). BMI will be reported in categories: <18.5, 18.5 - 24.9, 25-29.9 and >30
Measured: 1.5 years
Dual-Energy X-Ray Absorptiometry (DXA)
For DXA, the patient will be instructed to wear non-metallic clothing and remove any metallic objects that might interfere with the procedure. Subsequently, the patient will lie on the densitometer bed. The scanner will emit a low dose of radiation (less than 0.01 mSv) to measure the density of body tissues, from which the mass (in kilograms) of various structural body tissues will be estimated.
Measured: 1.5 years
Bioelectrical Impedance Analysis (BIA)
The patient will be instructed to wear non-metallic clothing and remove any metallic objects that might interfere with the procedure. The patient will then lie on an examination table, and electrodes from the impedance analyzer (SECA mBCA 525) will be placed on the body. The device will emit an electrical current at different frequencies to measure the subject's body reactance, resistance, and impedance. Based on these measurements, we will obtain the mass (in kilograms)
Measured: 1.5 years
Anxiety
To assess anxiety, the Generalized Anxiety Disorder Scale (GAD-7) will be applied. The GAD-7 consists of seven items designed to evaluate generalized anxiety disorder (GAD). Responses will be classified using a 4-point Likert scale and categorized based on their occurrence over the past two weeks as follows:
Minimal GAD (score ≤ 4) Mild GAD (score of 5-9) Moderate GAD (score of 10-14) Severe GAD (score ≥ 15). Any score ≥ 5 will be categorized as "more than minimal" generalized anxiety disorder. Additionally, any score ≥ 10 will be classified as "clinically relevant" generalized anxiety disorder symptomatically.
Measured: 1.5 years
Depression
To evaluate depressive symptoms, the Patient Health Questionnaire (PHQ-9) will be used. The PHQ-9 is designed to detect self-reported symptoms of major depressive disorder (MDD). The questionnaire consists of nine items describing common depressive conditions, rated on a 4-point Likert scale based on their occurrence in the past two weeks
Measured: 1.5 years
Movement behavior
To estimate levels of physical activity and sedentary behavior, the short version of the International Physical Activity Questionnaire (IPAQ) will be used. This questionnaire has been validated and previously applied to the Mexican population. The short version assesses hours and minutes of moderate and vigorous physical activity, as well as walking, performed in the last seven days for at least 10 continuous minutes.
Measured: 1.5 years
Food security
The level of food security will be assessed at an individual level using the first eight questions of the Latin American and Caribbean Food Security Scale (ELCSA), which has been validated and specifically developed for the context of Latin America and the Caribbean. This scale refers to experiences of food insecurity related to poverty during the three months preceding the survey. To classify the level of food security, a categorization algorithm will be applied based on the number of affirmative responses, as follows:
Food security (score = 0) Mild/low food insecurity (score of 1 to 3) Moderate food insecurity (score of 4 to 6) Severe food insecurity (score of 7 to 8)
Measured: 1.5 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted14 May 2025
- Study start20 Jun 2025 (estimated)
- Primary completion22 Nov 2026 (estimated)
- Study completion7 Jan 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (8)Papers the sponsor has linked to this study.
- Other trials for ObesityStudies 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
- Case crossover
- Time perspective
- Cross-sectional
- Enrolment
- 170 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Instituto Tecnológico y de Estudios Superiores de Occidente
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06971666
- Sponsor's protocol ID
- ITESO-DIP-2025
- Acronym
- DIP
- Status last verified
- May 2025
- First submitted
- 20 Jan 2025
- Last updated
- 14 May 2025
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: This is a project that involves data about patent
Publications
Baltazar-Diaz TA, Gonzalez-Hernandez LA, Aldana-Ledesma JM, Pena-Rodriguez M, Vega-Magana AN, Zepeda-Morales ASM, Lopez-Roa RI, Del Toro-Arreola S, Martinez-Lopez E, Salazar-Montes AM, Bueno-Topete MR. Escherichia/Shigella, SCFAs, and Metabolic Pathways-The Triad That Orchestrates Intestinal Dysbiosis in Patients with Decompensated Alcoholic Cirrhosis from Western Mexico. Microorganisms. 2022 Jun 16;10(6):1231. doi: 10.3390/microorganisms10061231.
PubMed 35744749Hadi S, Momenan M, Cheraghpour K, Hafizi N, Pourjavidi N, Malekahmadi M, Foroughi M, Alipour M. Abdominal volume index: a predictive measure in relationship between depression/anxiety and obesity. Afr Health Sci. 2020 Mar;20(1):257-265. doi: 10.4314/ahs.v20i1.31.
PubMed 33402914Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381-95. doi: 10.1249/01.MSS.0000078924.61453.FB.
PubMed 12900694Corley J, Shivappa N, Hebert JR, Starr JM, Deary IJ. Associations between Dietary Inflammatory Index Scores and Inflammatory Biomarkers among Older Adults in the Lothian Birth Cohort 1936 Study. J Nutr Health Aging. 2019;23(7):628-636. doi: 10.1007/s12603-019-1221-y.
PubMed 31367727Cavicchia PP, Steck SE, Hurley TG, Hussey JR, Ma Y, Ockene IS, Hebert JR. A new dietary inflammatory index predicts interval changes in serum high-sensitivity C-reactive protein. J Nutr. 2009 Dec;139(12):2365-72. doi: 10.3945/jn.109.114025. Epub 2009 Oct 28.
PubMed 19864399Boutens L, Hooiveld GJ, Dhingra S, Cramer RA, Netea MG, Stienstra R. Unique metabolic activation of adipose tissue macrophages in obesity promotes inflammatory responses. Diabetologia. 2018 Apr;61(4):942-953. doi: 10.1007/s00125-017-4526-6. Epub 2018 Jan 14.
PubMed 29333574Amiri S, Behnezhad S. Obesity and anxiety symptoms: a systematic review and meta-analysis. Neuropsychiatr. 2019 Jun;33(2):72-89. doi: 10.1007/s40211-019-0302-9. Epub 2019 Feb 18.
PubMed 30778841Almeida-de-Souza J, Santos R, Barros R, Abreu S, Moreira C, Lopes L, Mota J, Moreira P. Dietary inflammatory index and inflammatory biomarkers in adolescents from LabMed physical activity study. Eur J Clin Nutr. 2018 May;72(5):710-719. doi: 10.1038/s41430-017-0013-x. Epub 2017 Dec 26.
PubMed 29277838
Study at a glance
From the registry record, last updated by the sponsor on 14 May 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Relationship Between Dietary Inflammatory Potential, Markers of Inflammation, Microbiota and Risk of Anxiety and Depression in Young People With Obesity
- ClinicalTrials.gov ID
- NCT06971666
- Acronym / sponsor ID
- DIP / ITESO-DIP-2025
- Conditions
- Obesity, Dietary Inflammatory Index (DII)
- Keywords
- obesity, dietary inflammatory potential, dietary inflammatory index, inflammatory markers, gut microbiota, anxiety, depression
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 170 participants (estimated)
- Lead sponsor
- Instituto Tecnológico y de Estudios Superiores de OccidenteUniversity, hospital or other
- Study start
- 20 Jun 2025 (estimated)
- Primary completion
- 22 Nov 2026 (estimated)
- Study completion
- 7 Jan 2027 (estimated)
- First posted
- 14 May 2025 (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.
The increase in adipose tissue in the young population is one of the most important and worrying public health problems because it persists in adulthood, constituting a risk factor for chronic degenerative diseases with social, economic, and environmental effects. The etiology of obesity is multifactorial and is associated with a low-intensity chronic inflammation process. Therefore, side effects of the digestive, nervous, endocrine, and immunological levels are closely related. Thus, understanding the impact of dietary components on the immune response and the pathophysiological complications of obesity will strengthen information on nutritional patterns with lower inflammatory implications.
Detailed description
- Background Obesity has become one of the most critical challenges in public health. It has become a global epidemic due to the exponential growth of obesity over the last 30 years, affecting developed and developing countries with a notable impact on the latter. In Mexico, the combined prevalence of overweight and obesity in adults is 75.2%, of which 36.9% correspond precisely to the prevalence of obesity. This pathology has a multifactorial etiology, links lifestyle, environment, and genetics, and is modulated by multiple interactions between psychological, cultural, and physiological factors. The World Health Organization defines obesity as the abnormal or excessive accumulation of adipose tissue, which can harm health. This accumulation of triglycerides in the adipocyte alters the secretion of specific molecules of the immune system, which causes a cascade of inflammation mediated by the secretion of inflammatory molecules. Likewise, it is observed that obese subjects present intestinal dysbiosis that leads to intestinal permeability that allows the passage of lipopolysaccharides from Gram-negative bacteria into the bloodstream. There, they are recognized as toxic agents by the immune system, and the secretion of inflammatory cytokines occurs. The immune response derived from increased adipose tissue and intestinal dysbiosis compromises different brain regions involved in regulating behavior, eating patterns, perception of satiety, and being involved in cognition and mood related to physical inactivity and more significant weight gain. The continuous circulation of inflammatory cytokines and their accumulation in organs, including the central nervous system, is a risk factor for altering neurotransmitters and signal transduction that could result in depression. In addition to the above, a close relationship has been reported between diet and the regulation of the inflammatory response, so changes in the dietary patterns of the Mexican population could be directly related not only to the excessive accumulation of adipose tissue but also to the persistent inflammatory response in this pathology. The Dietary Inflammatory Potential (DIP) tool has been used to evaluate the inflammation caused by an individual's diet based on their dietary inflammatory index (DII). The DII allows us to associate foods and their nutrients with markers that show pro-inflammatory or anti-inflammatory processes. Studies have analyzed the association of DIP with different diseases, such as vascular diseases, cancer, metabolic syndrome, and dysbiosis in patients with constipation. However, in the literature, three publications are identified that analyze DIP in people with obesity, where they consider that subjects with this disease already start from an inflammatory process. These studies evaluate this relationship between 20 and 60 years, which represents an extensive range of the population and implies a series of possible analysis biases inherent to the different age groups included in the sample and their metabolic and immunological particularities. It also stands out that none of these studies have been carried out in Mexico.
- General objective To evaluate the relationship between Dietary Inflammatory Potential, markers of inflammation, microbiota, and risk of anxiety and depression in young people with obesity.
- Hypothesis There is a relationship between Dietary Inflammatory Potential, inflammation markers, microbiota, risk of anxiety, and depression in young people with obesity.
- Methodology
An original observational, cross-sectional, analytical, and correlational study in young people with obesity diagnosed with Body Mass Index. As part of the techniques and procedures, height and weight will be measured using the ISAK methodology to obtain the body mass index (BMI) and body mass with Dual X-ray Densitometry. Meanwhile, changes in intestinal microbiota and immunological parameters will be determined using the sequencing technique and ProQuantum High-Sensitivity Immunoassays, respectively. Questionnaires for evaluation of alimentary frequency, diet diversity, physical activity, and symptoms of anxiety and depression will be done.
Study design
- Observational model
- Case crossover
- Time perspective
- Cross-sectional
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Observational, cross-sectional, analytical, and correlational | – | –An observational, cross-sectional, analytical, and correlational study will be conducted on young individuals with obesity, diagnosed with Body Mass Index (BMI). The study aims to analyze the correlation between Dietary inflammatory potential (DIP), inflammatory markers, intestinal dysbiosis, exercise patterns, and the risk of anxiety and depression |
Who may qualify
- Ages
- 18 to 24 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult
- Study population
- Individuals aged 18 to 24 years, diagnosed with obesity based on Body Mass Index (BMI), recruited from the Centro Universitario de Tonalá at the University of Guadalajara and ITESO between August 2024 and June 2025, residing in the Guadalajara Metropolitan Area.
Key inclusion criteria (4 listed)
- Both sexes with no gender exclusion
- Age between 18 and 24 years
- Body Mass Index (BMI) ≥ 30 kg/m²
- Signed informed consent
Key exclusion criteria (13 listed)
- Pregnancy or expected pregnancy within the next month
- Women who are breastfeeding
- Diagnosed conditions such as: diabetes mellitus, hypertension, renal or hepatic insufficiency, infectious diseases, inflammatory diseases, or any neoplastic disease
- Conditions with dietary restrictions, such as celiac disease or history of gastric bypass surgery
- Active alcoholism with a daily intake exceeding 50 g/day
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
Dietary Assessment
Time frame: 1.5 years
Dietary intake will be estimated from a validated semiquantitative food frequency questionnaire (FFQ) that represents food consumption for the last 12 months. For each item, regular portion size will be established, and then frequencies of consumption will be available, ranging from "never" to "6 or more times/day". Energy and nutrient intakes will be obtained by multiplying the frequency by the serving size from Mexican food composition.
Dietary Inflammatory Index, DII
Time frame: 1.5 years
For the Dietary Inflammatory index, 45 food parameters related (positively or negatively) to inflammatory markers such as IL beta, IL4, IL6, IL10, TNF alpha, and CRP will be used. The score for each dietary parameter will be multiplied by each participant's intake, resulting in a numerical score ranging from -8 to +8.
Dietary Inflammatory Potential, DIP
Time frame: 1.5 years
The DIP will be obtained by analyzing the Dietary assessment and the Dietary Inflammatory Index intake, which will then be converted to a percentile score of 2 and subtracted by 1. The percentile score will be multiplied by the inflammatory effect score. All food parameters sill be summed to create the score. The score will be in quartiles: Q1, highly anti-inflammatory, Q2, anti-inflammatory, Q3, inflammatory; and Q4, highly inflammatory
12 secondary outcomes
Inflammatory markers
Time frame: 1.5 years
C-reactive protein (CRP)
Time frame: 1.5 years
Intestinal microbiota
Time frame: 1.5 years
Height
Time frame: 1.5 years
Body weight
Time frame: 1.5 years
Body Mass Index (BMI)
Time frame: 1.5 years
Dual-Energy X-Ray Absorptiometry (DXA)
Time frame: 1.5 years
Bioelectrical Impedance Analysis (BIA)
Time frame: 1.5 years
Anxiety
Time frame: 1.5 years
Depression
Time frame: 1.5 years
Movement behavior
Time frame: 1.5 years
Food security
Time frame: 1.5 years
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 14 May 2025.
- Background: PubMed 35744749Baltazar-Diaz TA, Gonzalez-Hernandez LA, Aldana-Ledesma JM, Pena-Rodriguez M, Vega-Magana AN, Zepeda-Morales ASM, Lopez-Roa RI, Del Toro-Arreola S, Martinez-Lopez E, Salazar-Montes AM, Bueno-Topete MR. Escherichia/Shigella, SCFAs, and Metabolic Pathways-The Triad That Orchestrates Intestinal Dysbiosis in Patients with Decompensated Alcoholic Cirrhosis from Western Mexico. Microorganisms. 2022 Jun 16;10(6):1231. doi: 10.3390/microorganisms10061231.
- Background: PubMed 33402914Hadi S, Momenan M, Cheraghpour K, Hafizi N, Pourjavidi N, Malekahmadi M, Foroughi M, Alipour M. Abdominal volume index: a predictive measure in relationship between depression/anxiety and obesity. Afr Health Sci. 2020 Mar;20(1):257-265. doi: 10.4314/ahs.v20i1.31.
- Background: PubMed 12900694Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381-95. doi: 10.1249/01.MSS.0000078924.61453.FB.
- Background: PubMed 31367727Corley J, Shivappa N, Hebert JR, Starr JM, Deary IJ. Associations between Dietary Inflammatory Index Scores and Inflammatory Biomarkers among Older Adults in the Lothian Birth Cohort 1936 Study. J Nutr Health Aging. 2019;23(7):628-636. doi: 10.1007/s12603-019-1221-y.
- Background: PubMed 19864399Cavicchia PP, Steck SE, Hurley TG, Hussey JR, Ma Y, Ockene IS, Hebert JR. A new dietary inflammatory index predicts interval changes in serum high-sensitivity C-reactive protein. J Nutr. 2009 Dec;139(12):2365-72. doi: 10.3945/jn.109.114025. Epub 2009 Oct 28.
- Background: PubMed 29333574Boutens L, Hooiveld GJ, Dhingra S, Cramer RA, Netea MG, Stienstra R. Unique metabolic activation of adipose tissue macrophages in obesity promotes inflammatory responses. Diabetologia. 2018 Apr;61(4):942-953. doi: 10.1007/s00125-017-4526-6. Epub 2018 Jan 14.
- Background: PubMed 30778841Amiri S, Behnezhad S. Obesity and anxiety symptoms: a systematic review and meta-analysis. Neuropsychiatr. 2019 Jun;33(2):72-89. doi: 10.1007/s40211-019-0302-9. Epub 2019 Feb 18.
- Background: PubMed 29277838Almeida-de-Souza J, Santos R, Barros R, Abreu S, Moreira C, Lopes L, Mota J, Moreira P. Dietary inflammatory index and inflammatory biomarkers in adolescents from LabMed physical activity study. Eur J Clin Nutr. 2018 May;72(5):710-719. doi: 10.1038/s41430-017-0013-x. Epub 2017 Dec 26.
- Individual participant dataSharing planned: No. This is a project that involves data about patent
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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.
Questions about this trial
What is this clinical trial studying?
An observational study of Obesity and Dietary Inflammatory Index (DII), run by Instituto Tecnológico y de Estudios Superiores de Occidente.
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 13 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: opening soon, as of the sponsor's last update on 14 May 2025. Status can change between updates, so confirm with the study contact before making plans.
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?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Karla Janetté Nuño, PhD (+52 33 3669 34 ext. 3222, karlanuno@iteso.mx), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Dietary Assessment (time frame: 1.5 years). The study lists 3 primary outcomes in all. 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 NCT06971666, which also lists 8 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 14 May 2025.