homa ir - Neonatal Disorders

What is HOMA-IR?

HOMA-IR stands for Homeostatic Model Assessment of Insulin Resistance. It is a method used to quantify insulin resistance and beta-cell function. The index is calculated using fasting blood glucose and fasting insulin levels. In the context of Pediatrics, it helps in assessing the risk of developing conditions like Type 2 Diabetes and Metabolic Syndrome in children and adolescents.

Why is it Important in Pediatrics?

Early detection of insulin resistance in children is crucial because it can lead to several long-term health complications. Identifying insulin resistance early allows for timely intervention, which may include lifestyle changes, dietary modifications, and in some cases, medication. This proactive approach can prevent the progression to more severe metabolic disorders.

How is HOMA-IR Calculated?

HOMA-IR is calculated using the following formula:
HOMA-IR = (Fasting Insulin (µU/mL) × Fasting Glucose (mg/dL)) / 405
It's important to note that for children, age-specific reference ranges should be used to interpret the results accurately.

What are the Normal Ranges for Children?

Normal ranges for HOMA-IR in children can vary by age, sex, and pubertal status. Generally, a HOMA-IR value of less than 2.5 is considered normal for children and adolescents. However, it is essential to consult with a pediatric endocrinologist to understand the appropriate range for a specific child.

What are the Risk Factors for High HOMA-IR in Children?

Several factors can contribute to elevated HOMA-IR levels in children:

Obesity or overweight
Sedentary lifestyle
Family history of diabetes or metabolic syndrome
Poor dietary habits, including high intake of sugars and fats

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The association between the Canadian Active Living Environments Index and glucose metabolism in a Canadian national population study.

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A comprehensive approach to lifestyle intervention based on a calorie-restricted diet ameliorates liver fat in overweight/obese patients with NAFLD: a multicenter randomized controlled trial in China.

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The impact of the obesity onset on the inflammatory and glycemic profile of women with severe obesity.

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The antioxidant, antidiabetic, and antihyperlipidemic effects of the polyphenolic extract from Salvia blancoana subsp. mesatlantica on induced diabetes in rats.

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Usefulness of triglyceride-glucose index and homeostatic model assessment for predicting coronary microvascular dysfunction.

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Impairments of insulin and glucagon sensitivity in Chinese women with gestational diabetes mellitus.

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Premature pubarche in Prader-Willi syndrome: Risk factors and consequences.

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Genome-wide association study and polygenic score assessment of insulin resistance.

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Selected microRNA Expression and Protein Regulator Secretion by Adipose Tissue-Derived Mesenchymal Stem Cells and Metabolic Syndrome.

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Metabolic-associated fatty liver disease and the role of hormones in its aetiopathogenesis.

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Branched-Chain and Aromatic Amino Acids, Type 2 Diabetes, and Cardiometabolic Risk Factors among Puerto Rican Adults.

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Exploring effects of melatonin supplementation on insulin resistance: An updated systematic review of animal and human studies.

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Effects of Early and Late Time-Restricted Feeding on Parameters of Metabolic Health: An Explorative Literature Assessment.

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Metabolic and Low-Grade Inflammation Risk in Young Adults with a History of Extrauterine Growth Restriction.

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Amelioration of Insulin Resistance by Whey Protein in a High-Fat Diet-Induced Pediatric Obesity Male Mouse Model.

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Predicting Non-Alcoholic Steatohepatitis: A Lipidomics-Driven Machine Learning Approach.

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