Cardiovascular Risk Assessment of Elevated Blood Pressure for Screening and Early Detection in Children 6 to 9 Years of Age in the Valencian Community: ANIVA Study.
Maria Morales Suárez-VarelaIsabel Peraita-CostaAgustin Llopis-MoralesJorge Navarro PerezPublished in: Children (Basel, Switzerland) (2023)
Elevated blood pressure (EBP), hypertension (HT), and prehypertension (PHT), along with the rising prevalence of overweight/obesity in children, correlate with a heightened risk of cardiovascular complications. This study focuses on assessing the prevalence of overweight/obesity and EBP and identifying potential indicators for effective early screening and detection of EBP in children aged 6 to 9 years old. This cross-sectional study was conducted with 1142 students from different schools across the Valencian Community in Spain. Data collection involved administering a questionnaire alongside direct anthropometric measurements of each student. The collected data underwent comprehensive statistical analysis, including frequencies, percentages, means, and chi-square automatic interaction detector (CHAID) analysis. In the sample, 7.5% of the children had HT and 6.8% had PHT, meaning 14.3% presented with EBP. Additionally, 17.0% of the children were classified as overweight and 3.9% as obese. Body mass index >23.1, body fat percentage >20.79%, and Kidmed scores <8 were identified as potential markers for early detection of EBP. The study reveals a significant incidence of EBP and overweight/obesity. Implementing screening protocols for early detection of EBP is imperative to forestall future cardiovascular events. Moreover, lifestyle modifications emerge as the most crucial approach for managing these risk factors.
Keyphrases
- weight loss
- risk factors
- blood pressure
- weight gain
- metabolic syndrome
- body mass index
- cardiovascular events
- young adults
- physical activity
- insulin resistance
- bariatric surgery
- risk assessment
- type diabetes
- healthcare
- mental health
- electronic health record
- computed tomography
- body composition
- magnetic resonance
- adipose tissue
- skeletal muscle
- heavy metals
- climate change
- cross sectional
- deep learning
- blood glucose
- sensitive detection
- label free
- psychometric properties
- advanced cancer