Associations between Anthropometrics, Cardiorespiratory Fitness, and Metabolic Syndrome Components in Brazilian Adolescents with Obesity.
Emilson ColantonioFelipe Granado de SouzaJoão Paulo BoteroNeal MalikMara Cristina Lofrano-PradoAdriana Carneiro LambertucciWagner Luiz do PradoPublished in: Metabolic syndrome and related disorders (2021)
Purpose: To describe the presence of metabolic syndrome (MS) in Brazilian adolescents with obesity, and to compare anthropometric and cardiorespiratory fitness measurements in relation to the presence of MS. Methods: Sixty-seven adolescents (13-18 years, 36 girls) with obesity (body mass index z-score ≥2.0) were enrolled. The following were assessed for each participant: anthropometrics, body composition, lipid profile, glucose, serum insulin, insulin resistance, blood pressure (BP), and cardiorespiratory fitness. Results: The presence of MS was found in 47.76% of the sample. The following abnormal measurements were most frequently reported: waist circumference (WC) (100.0%), BP (85.07%), and triglycerides (TG) (50.75%). Boys with obesity were more likely to meet MS criteria when compared to girls (P = 0.040; odds ratio = 2.80 [1.04-7.56]). Conclusion: The presence of MS in Brazilian adolescents with obesity in this study was 47.76%. Among this sample, the most frequently reported MS variables above the established cutoffs were WC (100%), followed by altered BP (85%) and TG (50%). These data further support previously published studies that low levels of cardiorespiratory fitness may increase the risk of MS among adolescents with obesity.
Keyphrases
- metabolic syndrome
- insulin resistance
- mass spectrometry
- body mass index
- multiple sclerosis
- high fat diet induced
- ms ms
- type diabetes
- body composition
- weight gain
- weight loss
- young adults
- adipose tissue
- physical activity
- high fat diet
- blood pressure
- skeletal muscle
- uric acid
- cardiovascular risk factors
- polycystic ovary syndrome
- randomized controlled trial
- glycemic control
- systematic review
- heart rate
- artificial intelligence
- blood glucose
- body weight
- high intensity
- electronic health record