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Updated: Jun 15, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Abnormal blood pressure and pediatric obesity phenotype: Red flags for clinical practice
Irene Rutigliano1, Gianpaolo De Filippo2, Luigi Pastore3
1Pediatrics, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy.
Background And Aims:
systolic and diastolic blood pressure values identify different subtypes of Primary Hypertension. In pediatric age, hypertension is often related to obesity. Characterization of an individual's Blood Pressure (BP) status needs multiple measurements in the course of time, but this is rarely the case, principally in everyday pediatrics. Thus, the finding of abnormal BP values even in a single routine check visit should need a special attention. The aim of this study was to evaluate if even a single abnormal measurement could be a marker of metabolic risk, according to clinical and/or metabolic phenotype and subtypes of hypertension in a population of overweight/obese children and adolescents.
Methods And Results:
We reviewed data from 489 overweight-obese children and adolescents. BP values were classified according to American Academy of Pediatrics Guidelines (2017). Considering study design, we used the term "Abnormal" instead of "High" BP. Data on lipid profile, glucose metabolism and ultrasonographic pattern of the liver were recorded. Mean age was 9.4 ± 2.5 years: 76.9% had normal BP values. Children with Abnormal BP harbored more frequently an unfavorable metabolic profile. Children with Abnormal Systolic-Diastolic BP values had higher BMI z-score and Waist to Height ratio (p = 0.022 and p = 0.032). Hepatic Steatosis was detected in 4.5%, 14.8 % and 17.6 % of children with normal, abnormal systolic and abnormal systo-diastolic blood pressure, respectively. (p < 0.001).
Conclusion:
Identification of abnormal BP subtypes even in a single measurement could be useful for identification of specific clinical-metabolic phenotypes allowing an individual targeted management of obesity-related comorbidities.
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