Iron supplementation and altitude: Decision making using a regression tree

(Eisensupplementierung und Höhe: Entscheidungsfindung mit einem Regressionsbaum)

Altitude exposure increases the body`s need for iron (Gassmann and Muckenthaler, 2015), primarily to support accelerated erythropoiesis, yet clear supplementation guidelines do not exist. Athletes are typically recommended to ingest a daily oral iron supplement to facilitate altitude adaptations, and to help maintain iron balance. However, there is some debate as to whether athletes with otherwise healthy iron stores should be supplemented, due in part to concerns of iron overload. Excess iron in vital organs is associated with an increased risk of a number of conditions including cancer, liver disease and heart failure. Therefore clear guidelines are warranted and athletes should be discouraged from `self-prescribing" supplementation without medical advice. In the absence of prospective-controlled studies, decision tree analysis can be used to describe a data set, with the resultant regression tree serving as guide for clinical decision making. Here, we present a regression tree in the context of iron supplementation during altitude exposure, to examine the association between pre-altitude ferritin (Ferritin-Pre) and the haemoglobin mass (Hbmass) response, based on daily iron supplement dose.
© Copyright 2016 Journal of Sports Science & Medicine. Department of Sports Medicine - Medical Faculty of Uludag University. Alle Rechte vorbehalten.

Bibliographische Detailangaben
Schlagworte:
Notationen:Trainingswissenschaft Biowissenschaften und Sportmedizin
Veröffentlicht in:Journal of Sports Science & Medicine
Sprache:Englisch
Veröffentlicht: 2016
Online-Zugang:http://www.jssm.org/letterajssm-15-204.xml.xml
Jahrgang:15
Heft:1
Seiten:204-205
Dokumentenarten:Artikel
Level:hoch