# Anthropometric Indicators and Early Cardiovascular Prevention in Children and Adolescents: The Role of Education and Lifestyle

**Authors:** Elisa Lodi, Maria Luisa Poli, Emanuela Paoloni, Giovanni Lodi, Gustavo Savino, Francesca Tampieri, Maria Grazia Modena

PMC · DOI: 10.3390/jcdd13010057 · 2026-01-22

## TL;DR

This study shows that waist-to-height ratio is a better early indicator of heart disease risk in children than BMI, and highlights the need for education on healthy lifestyles.

## Contribution

The study demonstrates that WHtR is a more effective early marker of cardiometabolic risk than BMI in children and identifies gaps in cardiovascular knowledge.

## Key findings

- 22% of participants were overweight and 14% were obese.
- WHtR > 0.5 was more frequent among overweight/obese children and independently associated with elevated BP.
- Lifestyle knowledge scores were lower among overweight and obese participants.

## Abstract

Background: Childhood obesity represents the most common nutritional and metabolic disorder in industrialized countries and constitutes a major public health concern. In Italy, 20–25% of school-aged children are overweight and 10–14% are obese, with marked regional variability. Excess adiposity in childhood is frequently associated with hypertension, dyslipidemia, insulin resistance, and non-alcoholic fatty liver disease (NAFLD), predisposing to future cardiovascular disease (CVD). Objective: To investigate anthropometric indicators of cardiometabolic risk in 810 children and adolescents aged 7–17 years who underwent assessment for competitive sports eligibility at the Sports Medicine Unit of Modena, evaluate baseline knowledge of cardiovascular health aligned with ESC, AAP (2023), and EASO guidelines. Methods: 810 children and adolescents aged 7–17 years undergoing competitive sports eligibility assessment at the Sports Medicine Unit of Modena underwent evaluation of BMI percentile, waist circumference (WC), waist-to-height ratio (WHtR), and blood pressure. Cardiovascular knowledge and lifestyle habits were assessed via a previously used questionnaire. Anthropometric parameters, blood pressure (BP), and lifestyle-related knowledge and behaviors were assessed using standardized procedures. Overweight and obesity were defined according to WHO BMI-for-age percentiles. Elevated BP was classified based on the 2017 American Academy of Pediatrics age-, sex-, and height-specific percentiles. Statistical analyses included descriptive statistics, group comparisons, chi-square tests with effect size estimation, correlation analyses, and multivariable logistic regression models. Results: Overall, 22% of participants were overweight and 14% obese. WHtR > 0.5 was observed in 28% of the sample and was more frequent among overweight/obese children (p < 0.001). Elevated BP was detected in 12% of participants with available measurements (n = 769) and was significantly associated with excess adiposity (χ2 = 7.21, p < 0.01; Cramér’s V = 0.27). In multivariable logistic regression analyses adjusted for age and sex, WHtR > 0.5 (OR 2.14, 95% CI 1.32–3.47, p = 0.002) and higher sedentary time (OR 1.41 per additional daily hour, 95% CI 1.10–1.82, p = 0.006) were independently associated with elevated BP, whereas BMI percentile lost significance when WHtR was included in the model. Lifestyle knowledge scores were significantly lower among overweight and obese participants compared with normal-weight peers (p < 0.01). Conclusions: WHtR is a sensitive early marker of cardiometabolic risk, often identifying at-risk children missed by BMI alone. Baseline cardiovascular knowledge was suboptimal. The observed gaps in cardiovascular knowledge underscore the importance of integrating anthropometric screening with structured educational interventions to promote healthy lifestyles and long-term cardiovascular prevention.

## Linked entities

- **Diseases:** non-alcoholic fatty liver disease (MONDO:0013209), dyslipidemia (MONDO:0002525), cardiovascular disease (MONDO:0004995)

## Full-text entities

- **Diseases:** obese (MESH:D009765), hypertension (MESH:D006973), NAFLD (MESH:D065626), insulin resistance (MESH:D007333), CVD (MESH:D002318), Overweight (MESH:D050177), nutritional and metabolic disorder (MESH:D009750), Excess adiposity (MESH:D018205), dyslipidemia (MESH:D050171)

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12841735/full.md

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Source: https://tomesphere.com/paper/PMC12841735