Within this article it is discussed that the Abuse of anabolic-androgenic steroids by members of the fitness world seems to be ever increasing and have reached alarming dimensions. It is stated that the health care system provides the illegal anabolic-androgenic steroids to 48.1 % of abusers along with physicians being involved in illegal prescription of anabolic-androgenic steroids as well. Aside from health-threatening cardiovascular, hepatotoxic and psychiatric long-term side effects of anabolic-androgenic …show more content…
Upon looking into this study, we are able to see that of the college students investigated, 4.2% were current users, with the percentage rising to 26% among the athletes. The average age of users within the two groups was 19.9 and 28.1 years. Almost one-third of the students began abusing AAS before the age of 15, and or within their first year of high school, while more than half of the athletes started between the ages of 15 and 18, throughout their high school years. Knowing where and how to get the drugs was not the overall problem for either the student or the athlete groups. Many of times, their friends and coaches were the major sources in supplying these drugs. However, the …show more content…
Regardless of this, there is no proposed mechanism by which this may occur. Signal-averaged ECG allows the assessment of cardiac electrical stability, reductions of which are a known risk factor for cardiac arrhythmias. The aim of the article at hand was to look at cardiac electrical stability using Signal-averaged ECG in a group (15 people were used) of long-term AAS users (21.3 ± 3.1 years of use) compared with a group (of 15 people) of age-matched weight lifters and age-matched sedentary controls [C (15 people). Data was analyzed using the MedCalc statistical package. Furthermore, subjects were categorized for each variable as either normal or abnormal, non-parametric data analyses were engaged, with frequencies of normal and abnormal Signal-averaged ECG being recorded for each group. As, weight lifters and the control group undergo Signal-averaged ECG analysis at rest and following an acute bout of exercise to overall exhaustion. Signal-averaged ECGs were analyzed using a 40 Hz filter and were averaged over 200 beats. Outcomes point toward a non-significant trend for increased incidence of abnormal Signal-averaged ECG measures at rest in AS (P= 0.55). However, AS demonstrated a significantly higher incidence of abnormalities of Signal-averaged ECG following exercise than the control group or weight lifters (P\0.05). In conclusion, the higher incidence of abnormal