| Literature DB >> 31781207 |
Meseret Yibrah1, Abebe Edao Negesso2, Atsbeha Gebregziabher3, Feyissa Challa3, Kissi Mudi3, Feven Tesfay1, Mehari Gebretsadkan1, Samuel Kinde2, Daniel Asmelash4.
Abstract
BACKGROUND: Drugs of abuse could interfere with the hypothalamic-pituitary-gonadal axis, causing impaired functions of the gland and associated functions of target organs. Drugs of abuse tend to cause changes in the endocrine system, and these changes could be physiological, molecular, biochemical, genetic, and cellular.Entities:
Year: 2019 PMID: 31781207 PMCID: PMC6874973 DOI: 10.1155/2019/4178241
Source DB: PubMed Journal: Int J Endocrinol ISSN: 1687-8337 Impact factor: 3.257
Socio-demographic characteristics of the study participants visited Zewditu Hospital, Ethiopia, in 2017.
| Variables | Category | Frequency ( | Percentage (%) |
|---|---|---|---|
| Age (years) | 15–19 | 16 | 10.7 |
| 20–24 | 44 | 29.85 | |
| 25–29 | 34 | 22.9 | |
| 30–34 | 25 | 16.9 | |
| 35–39 | 14 | 9.4 | |
| 40–44 | 7 | 4.7 | |
| 45–49 | 5 | 3.3 | |
| >50 | 3 | 1.9 | |
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| |||
| Marital status | Married | 33 | 22.3 |
| Unmarried | 115 | 77.7 | |
| Total | 148 | 100 | |
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| |||
| Educational status | Primary | 66 | 44.6 |
| High school | 40 | 27 | |
| Preparatory | 23 | 15.5 | |
| College and above | 19 | 12.8 | |
| Total | 148 | 100 | |
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| |||
| Occupational status | No job | 28 | 18.9 |
| Waiter/bar manager/hotel | 1 | 0.7 | |
| Tourism/travel agent/tour guide | 3 | 2 | |
| Mechanic/factory worker/labor | 5 | 3.4 | |
| Health professional/teacher/banker | 9 | 6.1 | |
| Businessman | 1 | 0.7 | |
| Hawker/street vendor/casual labor | 88 | 59.5 | |
| Musician/dancer/performer | 2 | 1.4 | |
| Driver (private/taxi/truck) | 7 | 4.7 | |
| Drug dealer | 2 | 1.4 | |
| Watchman/security guard | 2 | 1.4 | |
| Total | 148 | 100 | |
Figure 1Box and whisker plot data comparison graph of median estradiol hormone levels among khat, marijuana, heroin, and control groups.
Figure 2Box and whisker plot data comparison graph of median testosterone hormone levels among khat, marijuana, heroin, and control groups.
Gonadal and cortisol hormone parameters between drug abuse and control groups at Zewditu Hospital, Ethiopia, in 2017.
| Type of drug abuse |
| Hormonal parameters | Median (control group) | Median (drug abuser) |
|
|---|---|---|---|---|---|
| Khat | 21 (14.2) | Cortisol | 15.02 | 16.23 | 0.934 |
| E2 | 22.59 | 39.42 | 0.003 | ||
| FSH | 3.22 | 3.24 | 0.869 | ||
| LH | 6.16 | 4.97 | 0.003 | ||
| Testosterone | 7.95 | 6.07 | 0.03 | ||
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| Marijuana | 61 (41.2) | Cortisol | 15.02 | 14.01 | 0.120 |
| E2 | 22.59 | 43.93 | <0.001 | ||
| FSH | 3.22 | 3.01 | 0.055 | ||
| LH | 6.16 | 5.01 | 0.021 | ||
| Testosterone | 7.95 | 6.31 | 0.01 | ||
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| Heroin | 66 (44.6) | Cortisol | 15.02 | 17.2 | 0.120 |
| E2 | 22.59 | 40.15 | <0.001 | ||
| FSH | 3.22 | 2.37 | 0.055 | ||
| LH | 6.16 | 5.65 | 0.021 | ||
| Testosterone | 7.95 | 6.62 | 0.004 | ||
Cortisol (μg/dL), E2 (pg/mL), FSH (lu/L), LH (lu/L), and testosterone (ng/dl) Mann–Whitney test significant (Pvalue <0.05). Reference range (LH: 1.24–7.8 IU/L, FSH: 2–15 IU/L, testosterone: 2.7–10.7 ng/dL, estradiol: 10–40 pg/ml, and cortisol: 10–20 μg/dl).
Correlation of hormone parameters in heroin, marijuana, and khat abuse and control group.
| Hormone parameters | Heroin (rho) | Marijuana (rho) | Khat (rho) | Control (rho) |
|---|---|---|---|---|
| FSH vs LH | 0.406 | 0.519 | 0.292 | −0.274 |
| FSH vs E2 | −0.262 | −0.280 | −0.356 | −0.356 |
| Cortisol vs E2 | 0.343 | 0.320 | 0.236 | −0.274 |
| E2 vs testosterone | 0.367 | 0.210 | 0.151 | 0.266 |
| E2 vs. LH | −0.106 | −0.119 | −0.156 | 0.003 |
rho: Spearman correlation; significant correlation (Pvalue <0.05).
Association of testosterone hormone levels with socio-demographic variables and the type and dose of drug abuse among drug abuses attended Zewditu Hospital.
| Variables | Category | Testosterone |
| d | Fisher exact test | |
|---|---|---|---|---|---|---|
| Normal | Low | |||||
| Age (years) | 15–19 | 15 (10.1) | 1 (0.6) | 0.378 | 7 | 7.396 |
| 20–24 | 39 (26.4) | 5 (3.4) | ||||
| 25–29 | 28 (18.9) | 6 (4) | ||||
| 30–34 | 21 (14.2) | 4 (2.7) | ||||
| 35–39 | 13 (8.8) | 1 (0.6) | ||||
| 40–44 | 4 (2.7) | 3 (2) | ||||
| 45–49 | 4 (2.7) | 1 (0.6) | ||||
| >50 | 2 (1.3) | 1 (0.6) | ||||
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| Marital status | Married | 26 (17.5) | 7 (4.7) | 0.245 | 1 | 1.542 |
| Unmarried | 100 (67.6) | 15 (10) | ||||
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| Educational status | Primary | 56 (37.8) | 10 (6.7) | 0.385 | 4 | 3.288 |
| High school | 35 (23.6) | 5 (3.4) | ||||
| Preparatory | 17 (11.5) | 6 (4) | ||||
| College and above | 18 (12.2) | 1 (0.6) | ||||
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| Occupational status | No job | 24 (16.2) | 4 (2.7) | 0.068 | 10 | 14.08 |
| Waiter/bar manager/hotel | 1 (0.6) | 0 (0) | ||||
| Tourism/travel agent/tour guide | 2 (1.3) | 1 (0.6) | ||||
| Mechanic/factory worker/labor | 5 (3.4) | 0 (0) | ||||
| Health professional/teacher/banker | 8 (5.4) | 1 (0.6) | ||||
| Businessman | 1 (0.6) | 0 (0) | ||||
| Hawker/street vendor/casual labor | 77 (52) | 11 (7.4) | ||||
| Musician/dancer/performer | 0 (0) | 2 (1.3) | ||||
| Driver (private/taxi/truck) | 5 (3.4) | 2 (1.3) | ||||
| Drug dealer | 2 (1.3) | 0 (0) | ||||
| Watchman/security guard | 1 (0.6) | 1 (0.6) | ||||
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| Dosage of drug | High | 94 (63.5) | 15 (10) | 0.285 | 2 | 2.913 |
| Low | 32 (21.6) | 7 (4.7) | ||||
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| Type of drug abuse | Khat | 18 (12.2) | 3 (2) | 0.906 | 2 | 0.256 |
| Marijuana | 51 (34.5) | 10 (6.7) | ||||
| Heroin | 57 (38.5) | 9 (6) | ||||