Diagnostic Precision of Anthropometric Variables for the Detection of Hypertension in Children and Adolescents

Bibliographic Data

ID15501931
AuthorsM Vaquero (0000-0001-6572-8543), Manuel Vaquero Alvarez (0000-0001-9730-6310, Primary Care Emergency Service (SUAP) South Sanitary Area, 14850 Córdoba, Spain), Rafael Molina-Luque (0000-0002-5223-7400, University of Córdoba, corresponding author), Francisco Javier Fonseca del Pozo (0000-0003-4784-2670, Hospital Universitario Reina Sofía), Guillermo Molina-Recio (0000-0002-0005-4901, University of Córdoba), Jose Lopez-Miranda (Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain), José López‐Miranda (0000-0002-8844-0718, University of Córdoba), Manuel Romero‐Saldaña (0000-0002-6146-4402, University of Córdoba)
Year2020
Volume17
Issue12
Pages4415-4415
Publication date2020-06-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17124415
PMID32575484
OpenAlexW3036171435
LanguageEN
Citations received2
References cited32

Introduction : High blood pressure (HBP) is a health problem the prevalence of which has increased in young populations. Overweight and obesity in early ages have been directly related to its development. Due to the impact of HBP, it is necessary to provide tools that facilitate its early diagnosis, with useful anthropometric variables being those that assess obesity. The objective of this paper was to determine the diagnostic accuracy of anthropometric variables to detect HBP. Methods: A cross-sectional study was conducted on 265 students aged 6-16. The diagnosis of HBP was made following the criteria proposed by the Spanish Association of Pediatrics. Through different statistical methods, the association between anthropometric variables of general obesity with HBP was analyzed. Results: Waist circumference (WC) showed the best diagnostic capacity (area under the receiver operating characteristic curve = 0.729), with a sensitivity and specificity of 72.2% and 76%, respectively, for a cut-off point of 73.5 cm. In the adjusted multivariate analysis, an association was found between HBP and anthropometric variables: WC (odds ratio (OR) = 10.7), body mass index (OR = 7.5), waist-to-height ratio (OR = 5.5) and body fat percentage (OR = 5.3) ( p Conclusions: The anthropometric variables studied showed a moderate predictive capacity for HBP, highlighting WC, which showed the strongest association with HBP in the infant and child population

Anthropometry · Body mass index · Circumference · Cross-sectional study · Environmental health · Multivariate analysis · Obesity · Odds ratio · Overweight · Pathology · Population · Receiver operating characteristic · Waist · Body Composition Measurement Techniques · Demography · Health and Lifestyle Studies · Mathematics · Medicine · Obesity, Physical Activity, Diet · Internal Medicine · Pediatrics

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