Familial aggregation of the components of metabolic syndrome
Abstract
Objective: To investigate cardiometabolic factors in children of parents with metabolic syndrome (MetS), and to determine the association of these factors among children and their parents.
Methodology: This cross-sectional study was conducted as part of the baseline survey of a longitudinal study. According to inclusion/exclusion criteria, 800 children of parents with diagnosed MetS were selected by convenience sampling. Cardiometabolic data including fasting blood glucose (FBG), serum triglyceride (TG), total cholesterol (TC), body mass index (BMI), waist circumference (WC), and fat mass percentage (FMP) were collected and analyzed. Data regarding children’s diet and their psychological state were also recorded by validated questionnaires. Mean of continuous variables were compared by one-way ANOVA and correlations between continuous variables were determined by the Pearson correlation test.
Results: After excluding cases with missing data, information for 746 children (58% boys) and their parents was analyzed. Among children, TG was significantly correlated with BMI, WC, and FMP (p=0.001, r=0.24; p < 0.0001, r=0.25; and p=0.01, r=0.19, respectively). Additionally, TC was significantly correlated with WC (p= 0.02). There were significant correlations between mother’s FBG with children’s BMI and WC (p=0.01, r=0.27; and p=0.00, r=0.29, respectively). Children of fathers and mothers with high BMI had significantly increased TC (p=0.04, and p=0.02, respectively). There was an inverse significant correlation between mood score and systolic blood pressure (p=0.03). There were also correlations between carbohydrates in children’s diets and WC (p=0.02, r=0.34), and a near significant inverse correlation between nut consumption in diet and TC (p=0.05, r= ?0.22).
Conclusions: The current study showed the association of various factors on cardiometabolic risk factors in children and the relationship between these factors in children and in their parents. In addition to genetic predisposition, the familial aggregation of anthropometric measures underscores the role of obesogenic families in the development of cardiometabolic risk factors.
Methodology: This cross-sectional study was conducted as part of the baseline survey of a longitudinal study. According to inclusion/exclusion criteria, 800 children of parents with diagnosed MetS were selected by convenience sampling. Cardiometabolic data including fasting blood glucose (FBG), serum triglyceride (TG), total cholesterol (TC), body mass index (BMI), waist circumference (WC), and fat mass percentage (FMP) were collected and analyzed. Data regarding children’s diet and their psychological state were also recorded by validated questionnaires. Mean of continuous variables were compared by one-way ANOVA and correlations between continuous variables were determined by the Pearson correlation test.
Results: After excluding cases with missing data, information for 746 children (58% boys) and their parents was analyzed. Among children, TG was significantly correlated with BMI, WC, and FMP (p=0.001, r=0.24; p < 0.0001, r=0.25; and p=0.01, r=0.19, respectively). Additionally, TC was significantly correlated with WC (p= 0.02). There were significant correlations between mother’s FBG with children’s BMI and WC (p=0.01, r=0.27; and p=0.00, r=0.29, respectively). Children of fathers and mothers with high BMI had significantly increased TC (p=0.04, and p=0.02, respectively). There was an inverse significant correlation between mood score and systolic blood pressure (p=0.03). There were also correlations between carbohydrates in children’s diets and WC (p=0.02, r=0.34), and a near significant inverse correlation between nut consumption in diet and TC (p=0.05, r= ?0.22).
Conclusions: The current study showed the association of various factors on cardiometabolic risk factors in children and the relationship between these factors in children and in their parents. In addition to genetic predisposition, the familial aggregation of anthropometric measures underscores the role of obesogenic families in the development of cardiometabolic risk factors.
Refbacks
- There are currently no refbacks.
