Publications by authors named "Y al-Gindan"

Down syndrome (DS) is a known chromosomal disorder that results in changes in physical and clinical characteristics. Subjects with DS are more likely to be obese or overweight and have some recognized nutrition related problems. The objectives of this study are to compare body composition, food consumption pattern and physical activity level of children with and without DS.

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Background: Breastfeeding is an optimal infant feeding method that provides adequate nutrients, achieves healthy growth and development, and enhances the health status of both infants and mothers. Breast milk contains a variety of substances that might positively affect cognition and the development of children's psychomotor abilities.

Objective: This study aimed to examine the variations in intelligence quotient (IQ), social intelligence (SI), and body mass index (BMI) among 7- to 9-year-old girls who were exclusively breastfed, exclusively bottle-fed, or mixed-fed during their first 6 months of life.

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Aims: Type 2 diabetes (T2D) is known to be associated with high BMI and waist circumference (WC). These measures do not discriminate well between skeletal muscle (SM) and body fat (BF), which may have opposite influences.

Methods: We conducted a secondary analysis of population-based data from 58,128 aged 18-85 yrs from Scottish Health Surveys (2003, 2008-2011) and Health Surveys for England (2003-2006, 2008-2013), excluding pregnant women and insulin-treated diabetes.

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Hypertension is known to be associated with obesity, while its relationship to skeletal muscle, SM (SM; a marker of general health and body function), remains uncertain. We analyzed population-based data of 22 591 men (mean age: 51.6 ± 16.

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The reference organ-level body composition measurement method is MRI. Practical estimations of total adipose tissue mass (TATM), total adipose tissue fat mass (TATFM) and total body fat are valuable for epidemiology, but validated prediction equations based on MRI are not currently available. We aimed to derive and validate new anthropometric equations to estimate MRI-measured TATM/TATFM/total body fat and compare them with existing prediction equations using older methods.

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