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1.
J Clin Endocrinol Metab ; 108(12): 3051-3066, 2023 Nov 17.
Article in English | MEDLINE | ID: mdl-37319430

ABSTRACT

This mini-review aims to briefly summarize the pathophysiology of childhood obesity, type 2 diabetes mellitus (T2DM), and cardiovascular disease (CVD) risk in children and adolescents. Recent data on efficacy of lifestyle interventions, medications, and metabolic surgery for obesity, T2DM, and CVD risk factors are also reviewed. We conducted a PubMed search of English-language original and review articles relevant to childhood obesity, T2DM, and CVD risk factors, and biomarkers in children with an emphasis on recent publications. Childhood obesity arises from an intricate interaction between genetic, physiologic, environmental, and socioeconomic factors. The rise in the prevalence of childhood obesity is associated with the development of comorbidities including T2DM and CVD at an early age. A multipronged approach is central to the detection, monitoring, and management of childhood obesity and associated adverse metabolic consequences.


Subject(s)
Cardiovascular Diseases , Diabetes Mellitus, Type 2 , Pediatric Obesity , Adolescent , Child , Humans , Diabetes Mellitus, Type 2/etiology , Diabetes Mellitus, Type 2/complications , Pediatric Obesity/complications , Pediatric Obesity/epidemiology , Risk Factors , Cardiovascular Diseases/etiology , Cardiovascular Diseases/complications , Comorbidity
2.
Pediatr Res ; 92(3): 653-661, 2022 09.
Article in English | MEDLINE | ID: mdl-34916624

ABSTRACT

Accumulating evidence indicates that obesity and cardiometabolic risks become established early in life due to developmental programming and infants born as large for gestational age (LGA) are particularly at risk. This review summarizes the recent literature connecting LGA infants and early childhood obesity and cardiometabolic risk and explores potential preventive interventions in early infancy. With the rising obesity rates in women of childbearing age, the LGA birth rate is about 10%. Recent literature continues to support the higher rates of obesity in LGA infants. However, there is a knowledge gap for their lifetime risk for adverse cardiometabolic outcomes. Potential factors that may modify the risk in early infancy include catch-down early postnatal growth, reduction in body fat growth trajectory, longer breastfeeding duration, and presence of a healthy gut microbiome. The early postnatal period may be a critical window of opportunity for active interventions to mitigate or prevent obesity and potential adverse metabolic consequences in later life. A variety of promising candidate biomarkers for the early identification of metabolic alterations in LGA infants is also discussed. IMPACT: LGA infants are the greatest risk category for future obesity, especially if they experience rapid postnatal growth during infancy. Potential risk modifying secondary prevention strategies in early infancy in LGA infants include catch-down early postnatal growth, reduction in body fat growth trajectory, longer breastfeeding duration, and presence of a healthy gut microbiome. LGA infants may be potential low-hanging fruit targets for early preventive interventions in the fight against childhood obesity.


Subject(s)
Cardiovascular Diseases , Pediatric Obesity , Birth Weight , Body Mass Index , Cardiovascular Diseases/prevention & control , Child , Child, Preschool , Female , Gestational Age , Humans , Infant , Pediatric Obesity/prevention & control , Risk Factors , Weight Gain
3.
Pediatr Exerc Sci ; 33(3): 125-131, 2021 05 19.
Article in English | MEDLINE | ID: mdl-34010805

ABSTRACT

This study compared the effects of self-selected exercise intensity (SEI) versus predetermined exercise intensity (PEI) on blood pressure (BP) and arterial stiffness in adolescents with obesity. A total of 37 adolescents, 14.7 (1.6) years old, body mass index ≥95th percentile were randomly allocated into SEI (n = 18; 12 boys) or PEI (n = 19; 13 boys). Both groups exercised for 35 minutes on a treadmill, 3 times per week, for 12 weeks. The SEI could set the speed at the beginning of the sessions and make changes every 5 minutes. The PEI adolescents were trained at an intensity set at 60% to 70% of heart rate reserve. Brachial and central BP, pulse pressure, augmentation index, and carotid-femoral pulse wave were determined at baseline and after 12 weeks. Both groups reduced brachial systolic BP (SEI, Δ = -9 mm Hg; PEI, Δ = -4 mm Hg; P < .01), central systolic BP (SEI, Δ = -4 mm Hg; PEI, Δ = -4 mm Hg; P = .01), and central pulse pressure (SEI, Δ = -4 mm Hg; PEI, Δ = -3 mm Hg; P = .02) without differences between groups. No changes in the augmentation index and carotid-femoral pulse wave were observed in either group. The SEI induced similar changes in various cardiovascular outcomes compared with PEI in adolescents with obesity.


Subject(s)
Pediatric Obesity , Vascular Stiffness , Adolescent , Blood Pressure , Exercise , Humans , Infant , Male , Pulse Wave Analysis
4.
J Pediatr ; 165(5): 945-50, 2014 Nov.
Article in English | MEDLINE | ID: mdl-25112694

ABSTRACT

OBJECTIVE: To establish reference values of heart rate variability (HRV) measures in a cohort of adolescent boys and to determine the relationship between HRV and the clustering of risk factors (RFs) for cardiovascular disease. STUDY DESIGN: This cross-sectional study included 1152 adolescent boys (age: 16.6 ± 1.2 years old). Demographic data, health-related habits, obesity indicators, and blood pressure were evaluated. HRV measures of time (SD of all RR intervals, root mean square of the squared differences between adjacent normal RR intervals, and the percentage of adjacent intervals over 50 ms) and frequency domains were assessed (low [LF] and high [HF] frequency). RESULTS: The components of HRV were RR interval (827 ± 128 ms), SD of all RR intervals (61.9 ± 23.5 ms), root mean square of the squared differences between adjacent normal RR intervals (54.5 ± 29.4 ms), percentage of adjacent intervals over 50 ms (29.4 ± 20.4%), LF (53 ± 16 nu), HF (47 ± 16), and LF/HF (1.44 ± 1.08). Greater sympathetic and lower parasympathetic modulation at rest were associated with higher adiposity, higher blood pressure and physical inactivity. Adolescents with 2 or more RFs also presented lower HRV than subjects with no RFs (P < .001). CONCLUSIONS: The study has provided descriptive indicators that help the interpretation of HRV results in adolescents. Lower HRV measures are associated with the clustering of cardiovascular RFs.


Subject(s)
Cardiovascular Diseases/physiopathology , Heart Rate/physiology , Adolescent , Blood Pressure , Brazil , Cross-Sectional Studies , Electrocardiography , Humans , Male , Regression Analysis , Risk Factors
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