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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Dataset for the identification of hypertension in school-aged children from Gqeberha, South Africa

Authors: Arnaiz, Patricia; Müller, Ivan; Seelig, Harald; Gerber, Markus; Bosma, Jacob; Dolley, Danielle; Adams, Larissa; +11 Authors

Dataset for the identification of hypertension in school-aged children from Gqeberha, South Africa

Abstract

Dataset used to evaluate and compare different international references to identify hypertension among South African school-aged children from disadvantaged communities. It encompasses anonymized, unique, identification numbers, anthropometric and blood pressure measures, as well as blood pressure percentiles and the assigned categories derived from four different reference populations (American, German, global and the study population).

Keywords

Blood pressure, hypertension, normative tables, children, schools, South Africa

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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