Hematologic and Biochemical Profile of Juvenile and Adult Athletes of Both Sexes: Implications for Clinical Evaluation

Abstract

The aim of the present study was to compare the values of seventeen hematologic and biochemical parameters between juvenile and adult athletes and non-athletes of both sexes. 579 athletes and 241 non-athletes participated in the study. We measured packed-cell volume, hemoglobin, red blood cell count, white blood cell count, platelet count, iron, glucose, urea, triacylglycerols, total cholesterol, high-density lipoprotein cholesterol, total/high-density lipoprotein cholesterol ratio, calcium, magnesium, creatine kinase, as well as alanine and aspartate aminotransferases. We found significant differences according to age, sex, and physical activity in the majority of the parameters. The effect size of physical activity on most parameters was small (< 0.5); however, that on packed-cell volume, glucose, urea, calcium, magnesium, and creatine kinase was moderate to high (0.5 to 0.8). It is remarkable that three of the highest effect sizes of physical activity appeared on parameters thought to be under tight homeostatic control (i. e., glucose, calcium, and magnesium). We conclude that physical training influences most of the biochemical parameters routinely measured in athletes, although, in some cases, its effect appears to be of limited biological importance. Therefore, clinical assessment on the basis of blood tests has to take into account not only the age and sex, but also the training status of individuals.

Training‐Induced Variations in Haematological and Biochemical Variables in Adolescent Athletes of Arab Origin Throughout an Entire Athletic Season

“…Consensus on the variability in hematological variables over time among athletes and non-athletes ( Joksimovic et al, 2009 ; Nikolaidis et al, 2003 ) or seasonal differences within the same squad ( Andelcovic et al, 2015 ; Manna et al, 2010 ) is lacking. The current work is, to our knowledge, the first providing information about young athletes of Arab origin.…”

Fatigue and Recovery in Soccer: Evidence and Challenges

“…Soccer causes an increase in metabolism with significant hematological changes [96,145], thus information from biomarkers could be used to optimize training adaptation, training load, and match participation [83,145,146]. Biomarkers responses are influenced by several factors and reflect multiple interactions, so interpretation must be cautious [147].…”

Hematological Changes in an Ovine Model of Acute Myocardial Infarction

“…Changes that might occur in the hematological values following induction of myocardial infarction have not been reported previously in an ovine model, however, hematological and biochemical indices have been published in human being (Tahnk-Johnson and Sharkey, 1993;Kobayashi et al, 2001;Nikolaidis et al, 2003;Aronson et al, 2007). The results of present study were similar to findings in human beings, as well as rat model with acute MI (Lee et al, 2008;Bani Ismail et al, 2009), that is, except PCV and Hgb, significant changes were seen in WBC, RBC, PLT, MCV and MCHC as a result of acute MI.…”

“…A detailed guide with a practical, safe and reliable for induction of MI in ovine models by ligating the main diagonal branch of the left anterior descending (LAD) coronary artery has been reported previously (Kim et al, 2005;Rabbani et al, 2008). Many studies have been published for hematologic and biochemical analysis in relation to acute MI in human (Friedman et al, 1974;Jan et al, 1975;Zalokar et al, 1981;Tahnk-Johnson and Sharkey, 1993;Kobayashi et al, 2001), however, few studies for the observation of alterations in these indices from acute MI has been accomplished (Dodds et al, 1980;Nikolaidis et al, 2003;Aronson et al, 2007). The present study was designed to explore the relationship between the extent of myocardial injury following coronary ligation and the degree of hemodynamic changes in sheep within 1 week after LAD ligation.…”