| Literature DB >> 33748511 |
Omar F Khabour1, Salwa F M Hassanein2.
Abstract
BACKGROUND: The COVID-19 infection is characterized by a wide spectrum of severity that ranges from mild to severe lethal symptoms. The optimal status of vitamins and minerals in the body is important to maintain proper immune response to overcome infections including COVID-19. Certain foods and medicinal plants have been shown to boost the immune system.Entities:
Keywords: COVID-19; Egypt; Garlic; Honey; Immune system; Medicinal plants; Vitamin; Zinc
Year: 2021 PMID: 33748511 PMCID: PMC7959256 DOI: 10.1016/j.heliyon.2021.e06538
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Demographics of participants.
| Parameter | Sub-group | N (%) |
|---|---|---|
| Mean age (years ±SD | 36.8 ± 14.4 | - |
| Age groups | 18–29 | 124 (41.2) |
| 30–49 | 117 (38.9) | |
| ≥50 | 60 (19.9) | |
| Sex | Male | 104 (34.6) |
| Female | 194 (64.5) | |
| Education | =<High school | 64 (21.3) |
| Bachelor | 180 (59.8) | |
| Master/PhD | 55 (18.3) | |
| Income (Egyptian pound) | <10000 | 187 (61.8) |
| 10,000–49,000 | 89 (29.6) | |
| >50,000 | 19 (6.3) | |
| Chronic diseases | Yes | 88 (29.6) |
| No | 212 (70.4) | |
| Fear from COVID-19 | Mean ± SD | 23.66 ± 5.32 |
| Mean age | Mean ± SD | 36.86 ± 14.4 |
N(%): Number (percentage).
SD: Standard deviation.
Vitamin use during COVID-19 pandemic.
| Parameter | Vitamin A | Vitamin B complex | Vitamin C | Vitamin D | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yes: N(%) | No: N(%) | Yes: N(%) | No: N(%) | Yes: N(%) | No: N(%) | Yes: N(%) | No: N(%) | |||||
| 39 (13) | 261(87) | 39(13) | 261(87) | 81(27.0) | 219(73.0) | 53(17.7) | 247(82.3) | |||||
| Age groups | ||||||||||||
| 18–29 | 13(10.5) | 111(89.5) | 0.024 | 10(8.1) | 114(91.9) | 0.000 | 31(25.0) | 93(75.0) | 0.001 | 18(14.5) | 106(85.5) | 0.016 |
| 30–49 | 12(10.3) | 105(89.7) | 11(9.4) | 106(90.6) | 23(19.7) | 94(80.3) | 17(14.5) | 100(85.5) | ||||
| ≥50 | 14(23.7) | 45(76.3) | 18(30.5) | 41(69.5) | 27(45.8) | 32(54.2) | 18(30.5) | 41(69.5) | ||||
| Sex | ||||||||||||
| Male | 13(12.6) | 90(87.4) | 0.948 | 13(12.6) | 90(87.4) | 0.948 | 23(22.3) | 80(77.7) | 0.192 | 17(16.5) | 86(83.5) | 0.740 |
| Female | 25(12.9) | 169(87.1) | 25(12.9) | 169(87.1) | 57(29.4) | 137(70.6) | 35(18.0) | 159(82.0) | ||||
| Education | ||||||||||||
| =<High school | 12(19.0) | 51(81.0) | 0.164 | 14(22.2) | 49(77.8) | 0.053 | 22(34.9) | 41(65.1) | 0.039 | 12(19.0) | 51(81.0) | 0.930 |
| Bachelor | 23(12.8) | 157(87.2) | 19(10.6) | 161(89.4) | 51(28.3) | 129(71.7) | 32(17.8) | 148(82.2) | ||||
| Master/PhD | 4(7.3) | 51(92.7) | 6(10.9) | 49(89.1) | 8(14.5) | 47(85.5) | 9(16.4) | 46(83.6) | ||||
| In come | ||||||||||||
| <5000 | 28(15.1) | 157(84.9) | 0.228 | 27(14.6) | 158(85.4) | 0.434 | 59(31.9) | 126(68.1) | 0.03 | 36(19.5) | 149(80.5) | 0.444 |
| 5000–10000 | 7(7.9) | 82(92.1) | 10(11.2) | 79(88.8) | 15(16.9) | 74(83.1) | 12(13.5) | 77(86.5) | ||||
| >10000 | 3(15.8) | 16(84.2) | 1(5.3) | 18(94.7) | 6(31.6) | 13(68.4) | 4(21.1) | 15(78.9) | ||||
| Chronic diseases | ||||||||||||
| Yes | 14(15.9) | 74(84.1) | 0.334 | 24(11.3) | 188(88.7) | 0.179 | 52(24.5) | 160(75.5) | 0.134 | 38(17.9) | 174(82.1) | 0.856 |
| No | 25(11.8) | 187(88.2) | 15(17.0) | 73(83.0) | 29(33.0) | 59(67.0) | 15(17.0) | 73(83.0) | ||||
| Fear Score | ||||||||||||
| <3.0 | 5(6.3) | 74(93.7) | 0.012 | 4(5.1) | 75(94.9) | 0.023 | 14(17.7) | 65(82.3) | 0.026 | 10(12.7) | 69(87.3) | 0.397 |
| 3.0–3.99 | 19(13.7) | 120(86.3) | 19(13.7) | 120(86.3) | 37(26.6) | 102(73.4) | 27(19.4) | 112(80.6) | ||||
| >4.0 | 15(18.3) | 67(81.7) | 16(19.5) | 66(80.5) | 52(63.4) | 52(63.4) | 16(19.5) | 66(80.5) | ||||
∗N(%): Number(percentage).
indicates Chi-square P value.
Use of Immune boosters during COVID-19 pandemic.
| Parameter | Immune system boosting drinks | Immune system boosting: honey | Immune system boosting: Garlic | Zinc supplements | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yes: N(%) | No: N(%) | Yes: N(%) | No: N(%) | Yes: N(%) | No: N(%) | Yes: N(%) | No N (%) | |||||
| 118(39.3) | 182(60.7) | 97(32.2) | 204(67.8) | 112(37.2) | 189(62.8) | 17(5.6) | 283(94.4) | |||||
| Age groups | ||||||||||||
| 18–29 | 57(46.0) | 67(54.0) | 0.011 | 32(25.8) | 92(74.2) | 0.000 | 40(32.3) | 84(67.7) | 0.018 | 7(5.6) | 117(94.4) | 0.343 |
| 30–49 | 48(41.0) | 69(59.0) | 26(22.2) | 91(77.8) | 42(35.9) | 75(64.1) | 5(4.3) | 112(95.7) | ||||
| ≥50 | 14(23.3) | 46(76.7) | 39(65.0) | 21(35.0) | 30(50.0) | 30(50.0) | 5(8.5) | 54(91.5) | ||||
| Sex | ||||||||||||
| Male | 41(39.4) | 63(60.6) | 0.967 | 40(38.5) | 64(61.5) | 0.060 | 38(36.5) | 66(63.5) | 0.477 | 6(5.8) | 97(94.2) | 0.573 |
| Female | 76(39.2) | 118(60.8) | 56(28.9) | 138(71.1) | 73(37.5) | 79(62.4) | 11(5.7) | 183(94.3) | ||||
| Education | ||||||||||||
| =<High school | 21(32.8) | 43(67.2) | 0.268 | 24(37.5) | 40(62.5) | 0.198 | 25(39.1) | 39(60.9) | 0.220 | 3(4.8) | 60(95.2) | 0.348 |
| Bachelor | 72(40.0) | 108(60.0) | 56(31.1) | 124(68.9) | 70(38.9) | 110(61.1) | 14(7.8) | 166(92.2) | ||||
| Master/PhD | 26(47.3) | 29(52.7) | 17(30.9) | 38(69.1) | 16(29.1) | 39(70.9) | 0(0.0) | 55(100.0) | ||||
| In come | ||||||||||||
| <5000 | 63(33.9) | 123(66.1) | 0.023 | 68(36.6) | 118(63.4) | 0.051 | 76(40.9) | 110(59.1) | 0.102 | 13(7.0) | 172(93.0) | 0.376 |
| 5000–10000 | 42(47.2) | 47(52.8) | 23(25.8) | 66(74.2) | 29(32.6) | 60(67.4) | 2(2.2) | 87(97.8) | ||||
| >10000 | 9(47.4) | 10(52.6) | 5(26.3) | 14(73.7) | 6(31.6) | 13(68.4) | 2(10.5) | 17(89.5) | ||||
| Chronic diseases | ||||||||||||
| Yes | 91(42.9) | 121(57.1) | 0.041 | 67(31.6) | 145(68.4) | 0.410 | 78(36.8) | 134(63.2) | 0.458 | 12(5.7) | 200(94.3) | 1.000 |
| No | 28(31.5) | 61(68.5) | 30(33.7) | 59(66.3) | 34(38.2) | 55(61.8) | 5(5.7) | 83(94.3) | ||||
| Fear Score | ||||||||||||
| <3.0 | 36(45.6) | 43(54.4) | 0.025 | 13(16.5) | 66(83.5) | 0.000 | 25(31.6) | 54(68.4) | 0.063 | 2(2.5) | 77(97.5) | 0.144 |
| 3.0–3.99 | 60(43.2) | 79(56.8) | 50(36.0) | 89(64.0) | 50(36.0) | 89(64.0) | 10(7.2) | 129(92.8) | ||||
| >4.0 | 23(27.7) | 60(72.3) | 34(41.0) | 49(59.0) | 37(44.6) | 46(55.4) | 5(6.1) | 77(93.9) | ||||
∗N(%): Number(percentage).
indicates Chi-square P value.
Use of Medicinal plants during COVID-19.
| Medicinal Plant | Common name | Use during pandemic |
|---|---|---|
| Aniseed | 71(23.6) | |
| Sweet marjoram | 23(7.7) | |
| caraway | 26(8.6) | |
| Fenugreek | 39(13.0) | |
| Turmeric | 91 (31.6) | |
| Licorice | 48(15.9) | |
| Rosemary | 41(13.6) | |
| Ginger | 142(47.2) | |
| Basil | 30(10.0) |