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Relationship among fatness, blood lipids, and insulin resistance in Pakistani children
Abdul Basit1, Rubina Hakeem, M Zafar Iqbal Hydrie
1Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan.
Insights
Arm-fat percentage, not BMI, is a significant indicator of metabolic risks like high insulin and LDL in Pakistani children. This finding suggests a new tool for assessing childhood health risks.
Area of Science:
- Pediatrics
- Metabolic Health
- Anthropometry
Background:
- Lower body mass index (BMI) thresholds for metabolic risk are used in South-East Asian adults.
- Metabolic abnormalities, including type 2 diabetes, are increasing in children and linked to obesity.
- Limited research exists on metabolic risk indicators in South Asian children.
Purpose of the Study:
- To investigate the relationship between fatness indicators, blood lipids, and insulin resistance in Pakistani children.
- To identify potential early markers for metabolic dysfunction in pediatric populations.
Main Methods:
- Assessed fatness indicators (BMI, waist hip ratio, arm-fat percentage) in 92 Pakistani school children (8-10 years).
- Analyzed fasting blood samples for lipids (total lipids, TG, TC, HDL, LDL), glucose, and insulin.
- Calculated Homeostasis Model Assessment (HOMA) index for insulin resistance.
Main Results:
- Arm-fat percentage showed a significant positive association with insulin levels and LDL cholesterol.
- Overweight children (BMI-for-age > 85th percentile) did not significantly differ in lipid or insulin levels.
- Children in the highest tercile of arm-fat percentage had higher frequencies of high blood cholesterol and LDL, and higher insulin levels compared to the lowest tercile.
Conclusions:
- Arm-fat percentage may serve as a practical tool for assessing metabolic risk in children.
- Further research with larger, diverse groups is needed to confirm the relationship between arm-fat percentage, lipid profiles, and insulin resistance.
Abstract:
Observations on associations between fatness and metabolic risks among South-East Asian adults have resulted in devising lower thresholds of body mass index (BMI) for them. Metabolic abnormalities, including type 2 diabetes, are now also appearing in children and are associated with obesity. There has not been much work done to identify indicators of metabolic risks among South Asian children. This study was undertaken to observe the relationship among fatness, blood lipids, and insulin resistance in Pakistani children. Fatness, lipids, and insulin resistance were assessed in 92 middle-class Pakistani school children aged 8-10 years. Height, weight, waist, hips, mid-arm circumference, and triceps skin-fold, measured in school, were used for calculating various indicators of fatness, i.e. BMI, waist hip ratio (WHR), and arm-fat percentage. Fasting blood samples were analyzed for total lipids, triglycerides (TG), total cholesterol (TC), high density lipoprotein (HDL), low density lipoprotein (LDL), glucose and insulin levels. Homeostasis model assessment (HOMA) index was calculated to assess insulin resistance. Two separate multiple regression models of various risk indicators (family history, sex, BMI, WHR, arm-fat percentage) showed that only arm-fat percentage had a significant positive association both with insulin levels (b = 2.04, p = 0.044) and LDL (b = 2.11, p = 0.037). Only five children were overweight (BMI-for-age > 85th percentile according to National Center for Health Statistics 2000 reference). Neither overweight children nor those who were in the uppermost tercile of BMI-for-age differed significantly from other children in terms of presence of higher-than-desirable values of lipids or insulin. However, compared to those in the lowest tercile, children who were in the uppermost tercile of armfat percentage had a significantly higher frequency of high blood cholesterol (40% vs 67%, p = 0.027), high LDL (33.3% vs 61.3%, p = 0.026), and markedly higher proportion above average insulin levels (16.7% vs 35.5%, p = 0.083). Arm-fat percentage could be developed as a practical tool for determining the risk status of children. However, further cross-sectional assessments are needed to ascertain accurate relationships among arm-fat percentage, lipid profiles, and insulin resistance in larger and varied groups of children.
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