| Literature DB >> 34084055 |
Syed Ghouse Mohiuddin1,2, Sohail Aziz1, Rizwan Ahmed3, Siti Maisharah Shaikh Ghadzi1, Muhammad Zahid Iqbal2, Muhammad Shahid Iqbal4.
Abstract
PURPOSE: There is a wide range of use of complementary and alternative medicine (CAM), which has increased drastically and affected treatments overall. The knowledge and practice of Chinese herbal medicine among the general population is considered as positive. Literature shows that the effectiveness and acceptance of alternative therapies is still debatable among the general population.Entities:
Keywords: Alternative therapies; Knowledge Attitude and Practice (KAP); complementary and alternative medicine; quality of life; supportive therapies; traditional Chinese medicine
Year: 2020 PMID: 34084055 PMCID: PMC8142913 DOI: 10.4103/jpbs.JPBS_258_20
Source DB: PubMed Journal: J Pharm Bioallied Sci ISSN: 0975-7406
Sociodemographic features
| Variables | |
|---|---|
| Gender | |
| Male | 182 (44.4) |
| Female | 228 (55.6) |
| Age | |
| ≤25 | 289 (70.5) |
| 26–30 | 80 (19.5) |
| 31–35 | 37 (9.0) |
| 36–40 | 3 (0.7) |
| ≥41 | 1 (0.2) |
| Ethnicity | |
| Malay | 108 (26.3) |
| Chinese | 179 (43.7) |
| Indian | 93 (22.7) |
| Others | 30 (7.3) |
| Religion | |
| Islam | 108 (26.3) |
| Buddhism | 136 (33.2) |
| Hinduism | 83 (20.2) |
| Christians | 81 (19.8) |
| Others | 2 (0.5) |
| Place of living | |
| Rural | 87 (21.2) |
| Urban | 323 (78.8) |
| Employment status | |
| Government | 62 (15.1) |
| Private | 135 (32.9) |
| Unemployed | 213 (52.0) |
| Education level | |
| No formal education | 6 (1.5) |
| Primary | 4 (1.0) |
| Secondary | 68 (16.6) |
| Undergraduate | 297 (72.4) |
| Postgraduate | 35 (8.5) |
| Family income | |
| ≤RM 2000 | 120 (29.3) |
| RM 2001–4000 | 95 (23.2) |
| ≥RM 4001 | 195 (47.6) |
Knowledge toward the use of traditional Chinese medicine
| Variables | Traditional Chinese medicine | Effect size# | ||
|---|---|---|---|---|
| Correct, | Wrong, | |||
| Gender | ||||
| Male | 137 (75.3) | 45 (24.7) | 0.024** | 0.112 |
| Female | 192 (84.2) | 36 (15.8) | ||
| Education level | ||||
| No formal education | 2 (33.3) | 4 (66.7) | ||
| Primary | 3 (75.0) | 1 (25.0) | 0.002 | 0.205 |
| Secondary | 48 (70.6) | 20 (29.4) | ||
| Undergraduate | 243 (81.8) | 54 (18.2) | ||
| Postgraduate | 33 (94.3) | 2 (5.7) | ||
| Ethnicity | ||||
| Malay | 82 (75.9) | 26 (24.1) | ||
| Chinese | 161 (89.9) | 18 (10.1) | <0.001* | 0.323 |
| Indian | 56 (60) | 37 (39.8) | ||
| Others | 30 (100) | 0 (0.0) | ||
| Family income | ||||
| ≤2000 | 72 (60.0) | 48 (40.0) | <0.001 | 0.394 |
| 2001–4000 | 70 (73.7) | 25 (26.3) | ||
| ≥4001 | 187 (95.9) | 8 (19.8) | ||
| Religion | ||||
| Islam | 48 (44.4) | 26 (24.1) | ||
| Buddhism | 119 (87.5) | 12 (8.8) | <0.001 | 0.366 |
| Hinduism | 38 (45.8) | 33 (39.8) | ||
| Christianity | 50 (61.7) | 8 (9.9) | ||
| Others | 2 (100) | 2 (100.0) | ||
**Fisher’s exact test, *Chi-square test, #Phi-Cramer’s value
Overall responses to practice questions toward traditional Chinese medicine
| Variables | Poor, | Fair, | Good, | Effect size# | |
|---|---|---|---|---|---|
| Gender | |||||
| Male | 150 (82.4) | 24 (13.2) | 8 (4.4) | 0.763** | - |
| Female | 182 (79.8) | 33 (14.5) | 13 (5.7) | ||
| Age | |||||
| ≤25 | 228 (78.9) | 46 (15.9) | 15 (5.2) | 0.457 | - |
| 26–30 | 71 (88.8) | 7 (8.8) | 2 (2.5) | ||
| 31–35 | 29 (78.4) | 4 (10.8) | 4 (10.8) | ||
| 36–40 | 3 (100.0) | 0 (0.0) | 0 (0.0) | ||
| ≥41 | 1 (100.0) | 0 (0.0) | 0 (0.0) | ||
| Ethnicity | |||||
| Malay | 103 (95.4) | 3 (2.8) | 2 (1.9) | <0.001* | 0.275 |
| Chinese | 136 (76.0) | 29 (16.2) | 29 (16.2) | ||
| Indian | 65 (69.9) | 23 (24.7) | 23 (24.7) | ||
| Others | 28 (93.3) | 2 (6.7) | 2 (6.7) | ||
| Religion | |||||
| Islam | 103 (95.4) | 3 (2.8) | 2 (1.9) | <0.001 | 0.289 |
| Buddhism | 102 (75.0) | 23 (16.9) | 11 (8.1) | ||
| Hinduism | 55 (63.3) | 23 (27.7) | 5 (6.0) | ||
| Christians | 70 (86.4) | 8 (9.9) | 3 (7.5) | ||
| Others | 2 (100.0) | 0 (0.0) | 0 (0.0) | ||
| Place of living | |||||
| Rural | 60 (69.0) | 20 (23.0) | 7 (8.0) | 0.006** | 0.159 |
| Urban | 272 (84.2) | 37 (11.5) | 14 (4.3) | ||
| Employment status | |||||
| Government | 50 (80.6) | 6 (9.7) | 6 (9.7) | 0.099 | - |
| Private | 17 (84.0) | 28 (13.1) | 6 (2.8) | ||
| Unemployed | 103 (76.3) | 23 (17.0) | 9 (6.7) | ||
| Education level | |||||
| No formal education | 4 (66.7) | 2 (33.3) | 0 (0.0) | 0.002 | 0.112 |
| Primary | 4 (100.0) | 0 (0.00) | 0 (0.0) | ||
| Secondary | 60 (88.2) | 3 (4.4) | 5 (7.4) | ||
| Undergraduate | 239 (80.5) | 42 (14.2) | 16 (5.4) | ||
| Postgraduate | 2 (5.7) | 8 (22.9) | 25 (71.4) | ||
| Family income | |||||
| ≤RM 2000 | 95 (79.2) | 8 (6.7) | 17 (14.2) | 0.327 | - |
| RM 2001–4000 | 73 (76.8) | 20 (20.1) | 2 (2.1) | ||
| ≥RM 4001 | 164 (84.1) | 20 (10.3) | 11 (5.6) |
**Fisher’s exact test, *Chi-square test, #Phi–Cramer’s value