| Literature DB >> 30534429 |
M C Beznă1, D Cârstea1, M Beznă2, C I Deliu2, D O Alexandru3, P Ciurea4.
Abstract
Rhythm disorders in young people are often reported and when they are persistent, repetitive or with a severity degree, an ethiopathgenical assessment of arrhythmogenic risk factors and their implications is required.Entities:
Keywords: arrhythmogenic risk factors; oxidative stress; young people
Year: 2015 PMID: 30534429 PMCID: PMC6246984 DOI: 10.12865/CHSJ.41.03.10
Source DB: PubMed Journal: Curr Health Sci J
Numeric and procentual group repartition of young subjects
Subjects | Number | Percentage |
Total | 186 | 100 |
Group I (Youngs with arrhythmias) | 72 | 39 |
Group II (Youngs without arrhythmias) | 114 | 61 |
Figure 1Cardiac arrhythmias frequency in young people
Repartition of studied young subjects by gender, on groups
Gender | Females | Males | ||
| Number | Percentage | Number | Percentage |
Total | 128 | 100 | 58 | 100 |
Group I (Youngs with arrhythmias) | 56 | 44 | 16 | 28 |
Group II (Youngs without arrhythmias) | 72 | 56 | 42 | 72 |
Figure 2Cardiac arrhythmias frequency by sex in young subjects
Risk factors incidence, on groups, in studied young subjects
Risk factors | Group I (Youngs with arrhythmias) | Group II (Youngs without arrhythmias) | Chi square p value | Significance | ||
| Number | % | Number | % |
|
|
Coffee consumption | 59 | 82 | 40 | 35 | 1.9 x 10-10 | HS |
Stress | 58 | 80 | 40 | 35 | 7.3 x 10-10 | HS |
Physical effort | 52 | 72 | 34 | 30 | 1.3 x 10-8 | HS |
Energy drinks consumption | 52 | 72 | 35 | 31 | 2.6 x 10-8 | HS |
Hyperlipids alimentation | 50 | 69 | 32 | 28 | 2.8 x 10-8 | HS |
Familiar predisposition | 50 | 69 | 25 | 22 | 1.1 x 10-10 | HS |
Alcohol intake | 38 | 53 | 28 | 24 | 8.9 x 10-5 | HS |
Sleep deprivation | 36 | 50 | 10 | 9 | 3.2 x 10-10 | HS |
Smoking | 22 | 31 | 15 | 13 | 0.0036 | S |
Overweight | 22 | 31 | 21 | 18 | 0.042 | S |
Figure 3Incidence of arrhythmogenic risk factors in young subjects
Risk factors association, in young subjects with arrhythmias
Number of associated risk factors | Number of subjects | Percentage (%) |
1 | 5 | 7 |
2 | 9 | 13 |
3 | 36 | 50 |
4 | 16 | 22 |
≥5 | 6 | 8 |
Figure 4Number of risk factors associations
Figure 5Activity impact
Figure 6Life-quality disturbances by dysrythmia
Representation of dysrhythmias aspects in the studied young subjects
Type of arrhythmia | Number of subjects | Percentage (%) |
extrasystolicatrialarrhythmia | 13 | 18 |
sinus tachycardia | 13 | 18 |
extrasystolic ventriculararrhythmia | 12 | 16 |
paroxysmal atrial fibrillation | 11 | 15 |
paroxysmal supraventricular tachycardia | 10 | 14 |
atrial flutter | 4 | 6 |
sinus bradycardia | 2 | 3 |
associated dysrhythmias | 7 | 10 |
Figure 7Incidence profile of arrhythmias in the studied young subjects