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Childhood obesity is a growing public health issue affecting millions of children worldwide, increasing the risk of metabolic and cardiovascular diseases in adulthood. This problem is particularly concerning in children and adolescents with Down syndrome (trisomy 21, T21), who have a higher predisposition to fat accumulation due to genetic, metabolic, and behavioral factors. However, assessing their nutritional status and body composition is challenging, as conventional tools such as body mass index (BMI) may not accurately reflect adiposity in this population.
One of the most severe risks associated with obesity in children with T21 is non-alcoholic fatty liver disease (NAFLD). This condition is characterized by fat accumulation in the liver without significant alcohol consumption and is closely linked to insulin resistance, dyslipidemia, and pro-inflammatory states. If not detected early, NAFLD can progress to more severe liver diseases such as fibrosis or cirrhosis. In individuals with T21, the prevalence of NAFLD may be underestimated due to the difficulty in properly assessing body composition and metabolism.
Since NAFLD diagnosis traditionally requires invasive procedures such as liver biopsy, this study proposes using non-invasive techniques, such as liver elastography, to assess liver health in children and adolescents with T21. Additionally, dietary habits will be analyzed using standardized tools to establish the relationship between nutrition, body composition, and NAFLD risk in this population.
Study Hypothesis:
The main hypothesis is that obesity and inadequate dietary patterns increase the risk of NAFLD in our participants with T21. The investigators also believe that liver elastography will enable the early detection of fat accumulation in the liver and other signs of liver disease, facilitating timely intervention.
Study Objectives:
The primary objective of this study is to evaluate the presence and severity of NAFLD in children and adolescents with T21 using non-invasive diagnostic techniques and nutritional assessment methods.
Specifically, the study will analyze:
Study Design
This is an observational cross-sectional study in which participants with T21, with and without obesity, will be evaluated without direct therapeutic intervention.
Registration and Evaluation Procedures
2.1 Clinical Assessments
Adipose tissue %, muscle mass (kg) and visceral fat index.
2.2. Nutritional Evaluation:
The KIDMED (Mediterranean Diet Quality Index) questionnaire is a widely used tool to assess adherence to the Mediterranean diet among children and adolescents. It consists of 16 items that evaluate various dietary habits. Each item is scored as follows:
Positive connotation items (reflecting healthy Mediterranean dietary habits): Each receives a score of +1.
Negative connotation items (indicating departure from Mediterranean dietary principles): Each receives a score of -1.
The total KIDMED score ranges from -4 to 12. Based on the total score, adherence to the Mediterranean diet is categorized into three levels:
High adherence: Scores of ≥8. Medium adherence: Scores between 4 and 7. Low adherence: Scores of ≤3.
Quality Assurance Plan
Electronic data management system with automatic validations to prevent data entry errors.
Sample Size Evaluation
It is estimated that a sample of 17 participants with T21 and 17 participants in the control group reaches 80% statistical power in detecting significant differences in the detection of fatty liver.
Statistical Analysis Plan
Ethical and Safety Considerations
This protocol will allow us to evaluate the relationship between obesity, dietary patterns, and NAFLD in children with T21, providing key information for future preventive strategies.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Case group. | Children and adolescents (ages 5-22) with Down syndrome (T21) who may have or not have NAFLD. |
| |
| Control group. | Children and adolescents (ages 5-22) without Down syndrome (T21) who may have or not have NAFLD. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| To evaluate fat liver content in the cases/controls population. | Other | The studied population includes participants aged 5-22 years old with/without T21 Down Syndrome. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Liver fat content. | To estimate liver fat content with hepatic elastography (FibroScan), CAP measurement will be used. Control population CAP value would range between 160-184 db/m and cases ≥ 184 db/m. | 3 months. |
| Measure | Description | Time Frame |
|---|---|---|
| Body weight. | Body weight (kg) will be assessed with a calibrated scale with the purpose of obtaining descriptive data of both populations, cases and controls. | 3 months. |
| Height. | Height (cm) will be assessed with a calibrated stadiometer with the purpose of obtaining descriptive data of both populations, cases and controls. |
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Inclusion Criteria:
Exclusion Criteria:
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Participants will be selected who are patients at the Jerome Lejeune Foundation center or students in special education centers who wish to participate. For the control group, dissemination will be carried out among workers with children of the required age range.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Fundación Jerome Lejeune | Madrid | Madrid | Spain |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31146796 | Background | Altavilla C, Caballero-Perez P. An update of the KIDMED questionnaire, a Mediterranean Diet Quality Index in children and adolescents. Public Health Nutr. 2019 Oct;22(14):2543-2547. doi: 10.1017/S1368980019001058. Epub 2019 May 31. | |
| 30482218 | Background | Hewawitharana SC, Thompson FE, Loria CM, Strauss W, Nagaraja J, Ritchie L, Webb KL. Comparison of the NHANES dietary screener questionnaire to the Automated Self-Administered 24-Hour Recall for Children in the Healthy Communities Study. Nutr J. 2018 Nov 27;17(1):111. doi: 10.1186/s12937-018-0415-1. |
| Label | URL |
|---|---|
| Related Info | View source |
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Relevant data obtained on the relationship of fatty liver in the studied population
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| 3 months. |
| Body Mass Index. | Body Mass Index (kg/m*2) will be calculated with the body weight and height. | 3 months. |
| Waist circumference. | Waist circumference (cm) will be assessed with a measuring tape with the purpose of obtaining descriptive data of both populations, cases and controls. | 3 months. |
| Adipose tissue (%). | Adipose tissue (%) will be estimated with bioimpedance with a calibrated TANITA with the purpose of obtaining descriptive data of both populations, cases and controls. | 3 months. |
| Visceral fat index. | Visceral fat index will be estimated with bioimpedance with a calibrated TANITA with the purpose of obtaining descriptive data of both populations, cases and controls. | 3 months. |
| Muscle mass. | Muscle mass (kg) will be estimated with bioimpedance with a calibrated TANITA with the purpose of obtaining descriptive data of both populations, cases and controls. | 3 months. |
| 24-hour dietary quality evaluation. | 24-hour dietary quality will be assessed with a validated 24-h recall food questionnaire in both populations, cases and controls. | 3 months. |
| Mediterranean diet adherence. | Mediterranean diet adherence will be assessed with a validated mediterranean food questionnaire for pediatric population (KIDMED) in both, cases and controls. | 3 months. |
| 38635340 | Background | Arsoy HA, Kara O, Keskin M. The evaluation of non-alcoholic fatty liver disease in children with obesity with vibration-controlled transient elastography. J Clin Ultrasound. 2024 Jul-Aug;52(6):723-730. doi: 10.1002/jcu.23698. Epub 2024 Apr 18. |
| 30660725 | Background | Castera L, Friedrich-Rust M, Loomba R. Noninvasive Assessment of Liver Disease in Patients With Nonalcoholic Fatty Liver Disease. Gastroenterology. 2019 Apr;156(5):1264-1281.e4. doi: 10.1053/j.gastro.2018.12.036. Epub 2019 Jan 18. |
| 37738668 | Background | Hielscher L, Irvine K, Ludlow AK, Rogers S, Mengoni SE. A Scoping Review of the Complementary Feeding Practices and Early Eating Experiences of Children With Down Syndrome. J Pediatr Psychol. 2023 Nov 16;48(11):914-930. doi: 10.1093/jpepsy/jsad060. |
| 28107283 | Background | Vos MB, Abrams SH, Barlow SE, Caprio S, Daniels SR, Kohli R, Mouzaki M, Sathya P, Schwimmer JB, Sundaram SS, Xanthakos SA. NASPGHAN Clinical Practice Guideline for the Diagnosis and Treatment of Nonalcoholic Fatty Liver Disease in Children: Recommendations from the Expert Committee on NAFLD (ECON) and the North American Society of Pediatric Gastroenterology, Hepatology and Nutrition (NASPGHAN). J Pediatr Gastroenterol Nutr. 2017 Feb;64(2):319-334. doi: 10.1097/MPG.0000000000001482. |
| 32201176 | Background | Goldner D, Lavine JE. Nonalcoholic Fatty Liver Disease in Children: Unique Considerations and Challenges. Gastroenterology. 2020 May;158(7):1967-1983.e1. doi: 10.1053/j.gastro.2020.01.048. Epub 2020 Mar 20. |
| 27448331 | Background | Bertapelli F, Pitetti K, Agiovlasitis S, Guerra-Junior G. Overweight and obesity in children and adolescents with Down syndrome-prevalence, determinants, consequences, and interventions: A literature review. Res Dev Disabil. 2016 Oct;57:181-92. doi: 10.1016/j.ridd.2016.06.018. Epub 2016 Jul 19. |
| 37739665 | Background | Pecoraro L, Ferron E, Solfa M, Mirandola M, Lauriola S, Piacentini G, Pietrobelli A. Body composition and laboratory parameters in children with down syndrome: The DONUT study. Clin Nutr ESPEN. 2023 Oct;57:253-257. doi: 10.1016/j.clnesp.2023.07.003. Epub 2023 Jul 10. |
| ID | Term |
|---|---|
| D063766 | Pediatric Obesity |
| D004314 | Down Syndrome |
| D008107 | Liver Diseases |
| D065626 | Non-alcoholic Fatty Liver Disease |
| ID | Term |
|---|---|
| D009765 | Obesity |
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D008607 | Intellectual Disability |
| D019954 | Neurobehavioral Manifestations |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D000015 | Abnormalities, Multiple |
| D000013 | Congenital Abnormalities |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D025063 | Chromosome Disorders |
| D030342 | Genetic Diseases, Inborn |
| D004066 | Digestive System Diseases |
| D005234 | Fatty Liver |
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| ID | Term |
|---|---|
| D011155 | Population Control |
| ID | Term |
|---|---|
| D011157 | Population Dynamics |
| D003710 | Demography |
| D011154 | Population Characteristics |
| D015991 | Epidemiologic Measurements |
| D011634 | Public Health |
| D004778 | Environment and Public Health |
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