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1.
Appl Physiol Nutr Metab ; 48(3): 231-240, 2023 Mar 01.
Article in English | MEDLINE | ID: mdl-36459689

ABSTRACT

Secondary cardiovascular disease is the main cause of mortality in congenital heart disease (CHD) patients. The cardiovascular risk could be widely prevented with adherence to a healthy lifestyle; however, clusters of lifestyle behaviors related to atherosclerosis risk factors in children and adolescents with CHD remain unclear. We aimed to describe the clusters of lifestyle behaviors of children and adolescents with CHD and to evaluate their association with atherosclerosis risk factors. We conducted a cross-sectional study on 227 children and adolescents with CHD (median age:10.02 [IQR:7.08-13.02] years). Dietary intake, physical activity (PA), and sedentary behavior (SB) were evaluated. Clusters of lifestyle behaviors were determined using a two-step cluster analysis. Atherosclerosis risk factors evaluated include body fat mass, central obesity, blood pressure, lipid parameters, glucose, C-reactive protein, and carotid intima-media thickness (cIMT). Multiple logistic regressions were used. The "unhealthy: high SB + low PA" cluster was associated with elevated body fat mass, central obesity, and elevated cIMT. Furthermore, the "unhealthy: low PA + unhealthy eating habits" cluster was associated with elevated body fat mass, central obesity, and elevated glucose. The unhealthier lifestyle behavior clusters were associated with atherosclerosis risk factors in children and adolescents with CHD. Multidisciplinary strategies to promote healthy behaviors are needed to prevent cardiovascular disease in later life.


Subject(s)
Atherosclerosis , Cardiovascular Diseases , Heart Defects, Congenital , Humans , Child , Adolescent , Obesity, Abdominal , Cross-Sectional Studies , Carotid Intima-Media Thickness , Risk Factors , Life Style , Obesity , Atherosclerosis/epidemiology , Glucose , Body Mass Index
2.
Cardiol Young ; 31(4): 631-638, 2021 Apr.
Article in English | MEDLINE | ID: mdl-33303049

ABSTRACT

BACKGROUND: Subclinical atherosclerosis in childhood can be evaluated by carotid intima-media thickness, which is considered a surrogate marker for atherosclerotic disease in adulthood. The aims of this study were to evaluate carotid intima-media thickness and, to investigate associated factors. METHODS: Cross-sectional study with children and adolescents with congenital heart disease (CHD). Socio-demographic and clinical characteristics were assessed. Subclinical atherosclerosis was evaluated by carotid intima-media thickness. Cardiovascular risk factors, such as physical activity, screen time, passive smoke, systolic and diastolic blood pressure, waist circumference, dietary intake, lipid parameters, glycaemia, and C-reactive protein, were also assessed. Factors associated with carotid intima-media thickness were analysed using multiple logistic regression. RESULTS: The mean carotid intima-media thickness was 0.518 mm and 46.7% had subclinical atherosclerosis (carotid intima-media thickness ≥ 97th percentile). After adjusting for confounding factors, cyanotic CHD (odds ratio: 0.40; 95% confidence interval: 0.20; 0.78), cardiac surgery (odds ratio: 3.17; 95% confidence interval: 1.35; 7.48), and be hospitalised to treat infections (odds ratio: 1.92; 95% confidence interval: 1.04; 3.54) were associated with subclinical atherosclerosis. CONCLUSION: Clinical characteristics related to CHD were associated with subclinical atherosclerosis. This finding suggests that the presence of CHD itself is a risk factor for subclinical atherosclerosis. Therefore, the screen and control of modifiable cardiovascular risk factors should be made early and intensively to prevent atherosclerosis.


Subject(s)
Atherosclerosis , Carotid Artery Diseases , Heart Defects, Congenital , Adolescent , Adult , Atherosclerosis/complications , Atherosclerosis/diagnosis , Atherosclerosis/epidemiology , Carotid Intima-Media Thickness , Child , Cross-Sectional Studies , Heart Defects, Congenital/complications , Heart Defects, Congenital/epidemiology , Humans , Risk Factors
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