Early Detection of Metabolic Syndrome and Obesity Comorbidities
NCT ID: NCT05681104
Last Updated: 2023-10-31
Study Results
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Basic Information
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NOT_YET_RECRUITING
275 participants
OBSERVATIONAL
2024-03-31
2025-12-31
Brief Summary
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Compare predictive value of waist to-height ratio and bio-electrical impedance analysis versus BMI in early detection of metabolic syndrome parameters and complication of obesity.
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Detailed Description
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The alarming increase in childhood obesity foreshows a tremendous burden of chronic disease prevention in the future public healthcare systems worldwide. Obesity prevention is a critical factor in controlling Obesity-related Non-communicable diseases (OR-NCDs), including insulin resistance/ metabolic syndrome, coronary artery Disease ,cancer and psychological problems.
Metabolic syndrome is a clustering of abdominal obesity-associated factors including elevated waist Circumference(WC), elevated blood pressure (BP), elevated glucose, elevated triglycerides (TGs) or reduced high-Density lipoprotein cholesterol (HDL-C).two key components of metabolic syndrome glucose and triglycerides are overproduced by the fatty liver. So liver is therefore a key determinant of metabolic abnormalities and prevalence of both metabolic syndrome and Non-alcoholic fatty liver (NAFLD) increases with obesity.
There are various diagnostic methods for metabolic syndrome in children and adolescents. Based on the world Health organization(WHO) criteria it diagnosed when three or more of the following features are found: body Mass index (BMI):\>95th percentile, hyperinsulinemia or impaired fasting glucose or impaired glucose tolerance, BP\>95th percentile, triglycerides (TG)\>105/136 mg/dL (1.2/1.5 mmol/L) for children aged\<10 and\>10 years Respectively ,high density lipoprotein (HDL)-C\<35 mg/dL (0.9 mmol/L).
While BMI is a simple measure calculated by dividing the body weight by the squared height, it does not fully Reflect adiposity or body composition. So a better anthropometric measures than BMI to screen for central obesity are needed. . Among the anthropometric measures used to evaluate adiposity, the waist circumference and waist-To-height ratio (WHtR) can be easily measured in clinical settings and can act as an indicator of central obesity and cardio metabolic risk.
In this study we will Compare predictive value of waist to-height ratio and bio-electrical impedance analysis versus BMI in early detection of metabolic syndrome.
Conditions
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Study Design
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OTHER
CROSS_SECTIONAL
Interventions
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Waist-height ratio
Waist-height ratio as early predictors of metabolic syndrome in primary school obese children
body mass index
Body mass index as early predictors of metabolic syndrome in primary school obese children
Bio-electrical impedance analysis
Bio-electrical impedance analysis as early predictors of metabolic syndrome in primary school obese children
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
6 Years
12 Years
ALL
No
Sponsors
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Assiut University
OTHER
Responsible Party
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Mostafa Shawky Ibrahim Abd Elalem
doctor
Principal Investigators
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Ghada om El-sedaffy, professor
Role: STUDY_DIRECTOR
Assiut University
Central Contacts
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References
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Rundle AG, Factor-Litvak P, Suglia SF, Susser ES, Kezios KL, Lovasi GS, Cirillo PM, Cohn BA, Link BG. Tracking of Obesity in Childhood into Adulthood: Effects on Body Mass Index and Fat Mass Index at Age 50. Child Obes. 2020 Apr;16(3):226-233. doi: 10.1089/chi.2019.0185.
Balasundaram P, Daley SF. Public Health Considerations Regarding Obesity. 2025 Feb 15. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan-. Available from http://www.ncbi.nlm.nih.gov/books/NBK572122/
Henry FJ. Obesity prevention: the key to non-communicable disease control. West Indian Med J. 2011 Jul;60(4):446-51.
Liang X, Zhang P, Luo S, Zhang G, Tang X, Liu L. The association of quality of life and personality characteristics with adolescent metabolic syndrome: a cohort study. Health Qual Life Outcomes. 2021 Jun 8;19(1):160. doi: 10.1186/s12955-021-01797-7.
Other Identifiers
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metabolic syndrome in children
Identifier Type: -
Identifier Source: org_study_id
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