| Literature DB >> 34584474 |
Phillip Musoke1, Brandy Nantaayi1, Rodney Kato Ndawula1, Babrah Wannyana2, Nelson Ssewante1, Godfrey Wekha1, Ronald Olum1, Lourita Nakyagaba1, Dianah Rhoda Nassozi3, Germinah Nabukeera4, Andrew Marvin Kanyike5, Daniel Ojilong5, Gabriel Madut Akech5, Jonathan Kajjimu6, Joshua Kiwumulo7, Drake Agira7, Jerom Okot7, Felix Bongomin1,8.
Abstract
BACKGROUND: The coronavirus disease-2019 (COVID-19) pandemic has created fear in people around the world. This has led to the widespread use of various herbal remedies in its prevention and treatment regardless of the paucity of scientific evidence about their safety and efficacy. This study assessed the fear of COVID-19 and the influence of media on the use of herbal medicine to prevent or treat COVID-19 in Uganda.Entities:
Keywords: COVID-19; Uganda; fear; health awareness; herbal medicine; media
Year: 2021 PMID: 34584474 PMCID: PMC8464377 DOI: 10.2147/RMHP.S332325
Source DB: PubMed Journal: Risk Manag Healthc Policy ISSN: 1179-1594
Socio-Demographic Characteristics of Participants
| Variable | Frequency | Percentage |
|---|---|---|
| 24 | 18–73 | |
| <25 | 245 | 50.2 |
| ≥25 | 243 | 49.8 |
| Male | 273 | 55.9 |
| Female | 215 | 44.1 |
| Central | 305 | 62.5 |
| East | 56 | 11.5 |
| West | 34 | 6.97 |
| North | 93 | 19.1 |
| Secondary | 45 | 9.2 |
| Tertiary | 436 | 89.3 |
| None | 7 | 1.3 |
| Employed | 212 | 43.4 |
| Not employed | 276 | 56.6 |
| Anglican | 152 | 31.2 |
| Born again | 51 | 10.5 |
| Catholic | 170 | 34.8 |
| Islam | 52 | 10.7 |
| Pentecostal | 28 | 5.7 |
| Seventh days Adventist | 24 | 4.9 |
| Others | 11 | 2.3 |
| Yes | 118 | 24.2 |
| No | 370 | 75.8 |
| Yes | 67 | 57.8 |
| No | 49 | 42.2 |
| Yes | 439 | 89.9 |
| No | 49 | 10.1 |
| Yes | 30 | 6.2 |
| No | 458 | 93.9 |
Bivariate Analysis for Socio-Demographic Factors Associated with Level of Fear of COVID-19
| Variable | Level of Fear of COVID-19 | |||
|---|---|---|---|---|
| ALL (n=488) Freq (%) | Low Level (n=228) Freq (%) | High Level (n=260) Freq (%) | P-value | |
| 24 (18-73) | 24 (18-64) | 25 (18–73) | 0.3271 | |
| <25 | 245 (50.2) | 115 (50.4) | 130 (50) | 0.928 |
| ≥25 | 243 (49.8) | 113 (49.6) | 130 (50) | |
| Male | 273 (56.0) | 144 (63.2) | 129 (49.6) | 0.003 |
| Female | 215 (44.1) | 84 (36.8) | 131 (50.4) | |
| Central | 305(62.5) | 148 (64.9) | 157 (60.4) | 0.780 |
| East | 56(11.5) | 24 (10.5) | 32 (12.3) | |
| West | 93(19.1) | 41 (28) | 52 (20) | |
| North | 34(7.0) | 15 (6.6) | 19 (7.3) | |
| Secondary | 45 (9.22) | 25 (11) | 20 (7.7) | 0.156 |
| Tertiary | 436 (89.34) | 201 (88.2) | 235 (90.4) | |
| None | 7 (1.25) | 2 (0.1) | 5 (1.9) | |
| Employed | 212 (43.44) | 84(36.8) | 128 (49.2) | 0.006 |
| Not employed | 276 (56.56) | 144(63.2) | 132 (50.8) | |
| Anglican | 152 (31.2) | 68 (29.8) | 84 (32.3) | 0.022 |
| Born again | 51 (10.5) | 33 (14.5) | 18 (6.9) | |
| Catholic | 170 (34.8) | 76 (33.3) | 94 (36.4) | |
| Islam | 52 (10.7) | 17 (7.5) | 35 (13.5) | |
| Pentecostal | 28 (5.7) | 15 (6.6) | 13 (5) | |
| Seventh days Adventist | 24 (4.9) | 11 (4.8) | 13 (5) | |
| Others | 11 (2.3) | 8 (3.5) | 3 (1.2) | |
| Yes | 118(24.2) | 54 (23.7) | 64 (24.6) | 0.833 |
| No | 370(75.8) | 174 (76.3) | 196 (75.4) | |
| Yes | 67(57.8) | 23 (43.4) | 44 (69.8) | 0.005 |
| No | 49(42.2) | 30 (56.6) | 19 (30.2) | |
| Yes | 439(90) | 209 (91.7) | 230 (88.5) | 0.291 |
| No | 49(10) | 19 (8.3) | 30 (11.5) | |
| I decreased the use | 34(8.6) | 8 (4.4) | 26 (12.2) | <0.0001 |
| 176(44.7) | 64 (35.4) | 112 (52.6) | ||
| No effect | 184(46.7) | 109 (60.2) | 75 (35.2) | |
| Yes | 30(6.2) | 8 (3.5) | 22 (8.5) | 0.024 |
| No | 458(93.8) | 220 (96.5) | 238 (91.5) | |
A Multivariable Logistic Regression Showing Predictors of Fear of COVID-19
| Variable | Adjusted Odds Ratio | 95% CI | P-value |
|---|---|---|---|
| Male | 1.0 | – | 0.003 |
| Female | 1.74 | 1.21–2.50 | |
| Employed | 1.0 | – | 0.158 |
| Not employed | 1.77 | 0.80–3.93 | |
| Yes | 3.1 | 1.35–7.14 | 0.008 |
| No | 1.0 | – | |
| Yes | 1.0 | 0.755 | |
| No | 1.14 | 0.49–2.68 | |
| Yes | 1.0 | – | 0.198 |
| No | 0.23 | 0.03–2.14 | |
| Anglican | 1.0 | – | |
| Born again | 0.957 | 0.4–2.27 | 0.920 |
| Catholic | 2.167 | 0.81–5.82 | 0.125 |
| Islam | 0.956 | 0.41–2.25 | 0.917 |
| Pentecostal | 3.152 | 0.67–14.86 | 0.147 |
| Seventh days Adventist | 1.364 | 0.46–4.07 | 0.578 |
| Others | 0.574 | 0.21–1.55 | 0.272 |
Figure 1Herbal medical use to prevent or treat COVID-19.
Herbal Medicines (Natural Remedies) Used for Prevention and Treatment of COVID-19
| Variable | Prevention (N=216) n (%) | Treatment (N=202), n (%) |
|---|---|---|
| Ginger | 88(40.7) | 74(36.6) |
| Lemon | 87(40.3) | 68(33.7) |
| Garlic | 64(29.6) | 48(23.8) |
| Steaming | 26(12) | 21(10.4) |
| COVIDEX | 23(10.6) | 25(12.4) |
| Other concoctions | 14(6.5) | 5(2.5) |
| Mangoes | 12(5.6) | 3(1.5) |
| Eucalyptus | 12(5.6) | 9(4.5) |
| Onions | 10(4.6) | 9(4.5) |
| Avocado | 6(2.8) | 1(0.5) |
| Marijuana | 5(2.3) | 3(1.5) |
| Aloe vera | 4(1.9) | 2(1) |
| Guava | 4(1.9) | 2(1) |
| Mulondo | 1(0.5) | 0(0) |
Bivariate Analysis for Socio-Demographic Factors Associated Herbal Medical Use
| Variable | All, (n=488) Freq (%) | Herbal Medical Use | P-value | ||
|---|---|---|---|---|---|
| Yes (280) Freq (%) | No (n=208) Freq (%) | ||||
| 24(18-73) | 24(18–73) | 25(18–64) | 0.620 | ||
| <25 | 245(50.2) | 142(50.7) | 103(49.5) | 0.855 | |
| ≥25 | 243(49.8) | 138(49.3) | 105(50.5) | ||
| Male | 273(55.9) | 143(51.7) | 130(62.5) | 0.013 | |
| Female | 215(44.1) | 137(49.3) | 78(37.5) | ||
| Central | 305(62.5) | 188(67.2) | 117(56.3) | 0.077 | |
| East | 56(11.5) | 30(10.7) | 26(12.5) | ||
| West | 93(19.1) | 47(16.7) | 46(22.1) | ||
| North | 34(6.9) | 15(5.4) | 19(9.1) | ||
| Secondary | 45(9.2) | 30(10.7) | 15(7.2) | 0.451 | |
| Tertiary | 436(89.3) | 246(87.9) | 190(91.4) | ||
| Primary | 7(1.5) | 4(1.4) | 3(1.4) | ||
| Employed | 212(43.4) | 136(48.6) | 76(36.5) | 0.010 | |
| Not employed | 276(56.6) | 144(51.4) | 132(63.5) | ||
| Anglican | 152(31.2) | 90(32.1) | 62(29.8) | 0.940 | |
| Born again | 51(10.5) | 28(10) | 23(11.1) | ||
| Catholic | 170(34.8) | 94(33.6) | 76(36.5) | ||
| Islam | 52(10.7) | 32(11.4) | 20(9.6) | ||
| Pentecostal | 28(5.7) | 17(6.1) | 11(5.3) | ||
| Seventh days Adventist | 24(4.9) | 14(5) | 10(4.8) | ||
| Others | 11(2.3) | 5(1.8) | 6(2.9) | ||
| Yes | 118(24.2) | 80(28.6) | 38(18.3) | 0.010 | |
| No | 370(75.8) | 200(71.4) | 170(81.7) | ||
| Yes | 67(57.7) | 44(55) | 23(63.9) | 0.420 | |
| No | 49(42.3) | 36(45) | 13(36.1) | ||
| Yes | 439(89.9) | 259(92.5) | 180(86.5) | 0.034 | |
| No | 49(10.1) | 21(7.5) | 28(13.5) | ||
| High level | 260(53.3) | 171(61.1) | 89(42.8) | <0.0001 | |
| Low level | 228(46.7) | 109(38.9) | 119(57.2) | ||
| Yes | 394(80.7) | 230(82.1) | 164(78.9) | 0.417 | |
| No | 94(19.3) | 50(17.9) | 44(21.1) | ||
| WHO | 111(28.1) | 56(24.4) | 55(33.5) | 0.026 | |
| MOH | 157(39.9) | 89(38.7) | 68(41.5) | ||
| Others | 126(32) | 85(37) | 41(25) | ||
| I decreased the use | 34(8.6) | 22(9.6) | 12(7.3) | <0.0001 | |
| I increased the use | 176(44.8) | 133(57.8) | 43(26.2) | ||
| No effect | 184(46.7) | 75(32.6) | 109(66.5) | ||
| Yes | 30(6.2) | 24(8.6) | 6(2.9) | 0.012 | |
| No | 458(93.9) | 256(91.4) | 202(97.1) | ||
A Multivariable Logistic Regression Showing Factors Associated with Herbal Medical Use
| Variable | Adjusted Odds Ratio | 95% CI | P-value |
|---|---|---|---|
| Male | 1.59 | 1.11–2.33 | 0.012 |
| Female | 1.0 | – | |
| Employed | 1.64 | 1.15–2.38 | 0.008 |
| Not employed | 1.0 | – | |
| Yes | 1.0 | ||
| No | N/A | ||
| World Health Organization website | 1.0 | ||
| Ministry of Health, Uganda | 0.92 | 0.55–1.56 | 0.765 |
| Other | 1.48 | 0.85–2.56 | 0.163 |
| I decreased the use | 2.66 | 1.24–5.72 | 0.05 |
| I increased the use | 1.65 | 1.01–1.65 | 0.012 |
| No effect | 1.0 | ||
| Yes | 1.0 | 0.290 | |
| No | 0.31 | 0.04–2.71 |
Figure 2Fear of COVID-19 score stratified by herbal medicine use.