| Literature DB >> 35687540 |
Nontharit Voravuth1, Eng Wee Chua2, Tuan Mazlelaa Tuan Mahmood1, Ming Chiang Lim1,3, Sharifa Ezat Wan Puteh4, Nik Shanita Safii5, Jyh Eiin Wong5, Ahmad Taufik Jamil6, Jamia Azdina Jamal2, Ahmad Fuad Shamsuddin7, Adliah Mhd Ali1.
Abstract
This study aimed to evaluate the community pharmacists' knowledge of tackling the issue of inadvertent doping in Malaysia. A cross-sectional survey was conducted among 384 community pharmacists working in Malaysia using a self-administered questionnaire. All the respondents were pharmacists fully registered with the Pharmacy Board of Malaysia and had been working in the community setting for at least one year. Of the 426 community pharmacists approached, 384 community pharmacists participated in this study, giving a response rate of 90.14%. The majority of the respondents were females (63.5%), graduated from local universities (74.9%), with median years of practising as a community pharmacist of six years (interquartile range, IQR = 9 years). The respondents were found to have moderate levels of doping-related knowledge (median score of 52 out of 100). Anabolic steroids (95.8%), stimulants (78.6%) and growth factors (65.6%) were recognised as prohibited substances by most of the respondents. Around 65.9% did not recognise that inadvertent doping is also considered a doping violation. Most of them (90%) also have poor levels of knowledge of doping scenarios in the country. Community pharmacists in Malaysia have limited knowledge in the field of doping. More programmes and activities related to doping and drugs in sports should be held to enhance the community pharmacists' knowledge on the issue of inadvertent doping.Entities:
Mesh:
Year: 2022 PMID: 35687540 PMCID: PMC9187095 DOI: 10.1371/journal.pone.0268878
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
The respondents’ demographic characteristics (n = 384).
| Demographic variables | Number (n = 384) | Percentage (%) |
|---|---|---|
|
| ||
|
| 140 | 36.5% |
|
| 244 | 63.5% |
|
| ||
|
| 182 | 47.4% |
|
| 135 | 35.2% |
|
| 48 | 12.5% |
|
| 19 | 4.9% |
|
| ||
|
| 76 | 19.8% |
|
| 279 | 72.7% |
|
| 22 | 5.7% |
|
| 7 | 1.8% |
|
| ||
|
| ||
|
| 79 | 20.6% |
|
| 24 | 6.3% |
|
| 80 | 20.9% |
|
| 36 | 9.4% |
|
| 4 | 1.0% |
|
| 160 | 41.8% |
|
| ||
|
| 297 | 78.0% |
|
| 84 | 22.0% |
|
| ||
|
| 284 | 74.9% |
|
| 87 | 23.0% |
|
| 8 | 2.1% |
|
| ||
|
| 50 | 13.1% |
|
| 25 | 50.0% |
|
| 18 | 36.0% |
|
| 3 | 6.0% |
|
| 4 | 8.0% |
|
| 332 | 86.9% |
|
| ||
|
| 16 | 4.2% |
|
| 365 | 95.8% |
|
| ||
|
| 248 | 65.6% |
|
| 241 | 62.8% |
|
| 6 | 1.6% |
|
| 6 | 1.6% |
|
| 3 | 0.8% |
|
| 3 | 0.8% |
|
| 130 | 34.4% |
|
| ||
|
| 34 | 9.1% |
|
| 147 | 39.2% |
|
| 84 | 22.4% |
|
| 83 | 22.1% |
|
| 27 | 7.2% |
|
| ||
|
| 307 | 80.6% |
|
| 74 | 19.4% |
The respondents’ knowledge of doping in sports (N = 384).
| Domains | Variables | Correct answer | Number of respondents with correct answer, N (%) | Number of respondents with the wrong answer / not sure answer, N (%) |
|---|---|---|---|---|
|
| The substances classified by the World Anti-Doping Agency (WADA) as prohibited in sports include: | |||
| (vi) Dihydrocodeine | False | 366 (95.3) | 18 (4.7) | |
|
| The roles of the World Anti-Doping Agency (WADA) include: | |||
| True | 314 (81.8) | 70 (18.2) | ||
| True | 251 (65.4) | 133 (34.6) | ||
| True | 293 (76.3) | 91 (23.7) | ||
| False | 138 (35.9) | 246 (64.1) | ||
| False | 254 (66.1) | 130 (33.9) | ||
|
| Doping violations include: | |||
| True | 352 (91.7) | 32 (8.3) | ||
| True | 196 (51.0) | 188 (49.0) | ||
| True | 276 (71.9) | 108 (28.1) | ||
| True | 286 (74.5) | 98 (25.5) | ||
| True | 131 (34.1) | 253 (65.9) | ||
|
| Therapeutic Use Exemption (TUE) allows athletes to use prohibited substances for medical reasons in or out of competition. | True | 243 (63.3) | 141 (36.7) |
| The Athlete Biological Passport (ABP) is a program that monitors selected biological variables over time to indirectly reveal the effects of doping rather than attempting to detect the doping substance or method itself. | True | 100 (26.0) | 284 (74.0) | |
|
| Do you know whether your professional body (e.g Malaysian Medical Council, Malaysian Pharmaceutical Society, etc.) has a guideline on the use of prohibited substances in sports? | False | 20 (5.2) | 364 (94.8) |
| Universiti Sains Malaysia, Penang (USM) Analytical Biochemistry Research Centre (ABrC), formerly known as Doping Control Centre (DCC), has WADA accreditation to carry out anti-doping drug testing. | False | 8 (2.1) | 376 (97.9) | |
| The National Sports Institute in Malaysia is the official anti- doping agency in Malaysia. | False | 42 (10.9) | 342 (89.1) |
The respondents’ levels of knowledge of doping (N = 384).
| Total score | Number (N = 384) | Percentage (%) |
|---|---|---|
|
| ||
|
| 10 | 2.6% |
|
| 333 | 86.7% |
|
| 41 | 10.7% |
Association between demographic variables and the respondents’ knowledge scores.
| p-value (p<0.05) | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Gender | Race | Place of practice | Academic qualifications | Experienc e of practicing overseas | Presence of postgraduat e degree | Involvemen t as a member of professional bodies | Years of practice | Familiarit y with term ‘doping’ | |
|
| 0.559a | 0.821b | 0.987b | 0.971b | 0.435a |
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a Mann-Whitney U test.
b Kruskal-Wallis test.
Comparison of mean rank between associated demographic variables and total score of community pharmacists’ knowledge.
| Associated demographic variables | Statistical tests result (p<0.05) | Components of associated demographic variables | Mean rank |
|---|---|---|---|
|
| U = 2064, p = 0.047 | With postgraduate degree (N = 16) | 244.50 |
| Without a postgraduate degree (N = 365) | 188.65 | ||
|
| U = 12707, p = 0.001 | Member (N = 248) | 203.26 |
| Non-member (N = 130) | 163.25 | ||
|
| H = 9.735, p = 0.045 | <2 years (N = 34) | 179.28 |
| 2–5 years (N = 147) | 169.42 | ||
| 6–10 years (N = 84) | 210.54 | ||
| 11–20 years (N = 83) | 194.09 | ||
| >20 years (N = 27) | 211.30 | ||
|
| U = 5502, p = 0.000 | Familiar (N = 307) | 210.08 |
| Unfamiliar (N = 74) | 111.85 |
U = Mann-Whitney U test; H = Kruskal-Wallis test