| Literature DB >> 33603807 |
Maryam Bagheri1, Fedyeh Haghollahi2, Mamak Shariat3, Mina Jafarabadi2, Parastoo Aryamloo4, Elahe Rezayof2.
Abstract
Objective: The coronavirus disease 19 (COVID-19) is a highly transmittable and pathogenic viral infection, causes severe acute respiratory syndrome and was spread throughout the world in early 2020. The effects of vitamin and micronutrient supplements on the prevention and treatment of COVID- 19 seems challenging in scientific considerations. On the other side generally, experts warn against over-consumption of these supplements. Materials and methods: This study aimed to investigate the vitamin and micronutrient supplementation usage pattern in past history of patients with COVID-19 via a cross-sectional inquiry. Totally 510 patients referring to the infectious disease clinic of Imam Khomeini Hospital in Tehran from March 2020 to May 2020 were recruited. The inclusion criterion was suspected patients for COVID-19 based on clinical findings and CT scans of the lung. The infected patients included both inpatients (171) and outpatients (339). Demographic information, clinical signs, and the supplement pattern use were collected through a questionnaire and the data were statistically analyzed.Entities:
Keywords: COVID-19; Micronutrients; Supplement; Vitamins
Year: 2020 PMID: 33603807 PMCID: PMC7868648 DOI: 10.18502/jfrh.v14i3.4668
Source DB: PubMed Journal: J Family Reprod Health ISSN: 1735-9392
Analysis of Demographic variables in both outpatient and inpatient groups infected with COVID-19
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| Age (mean ± SD) | 43.74±13.84 | 58.77±17.43 | 0.0001 |
| Age group (years) | |||
| < 35 | 117(8.2%) | 14(8.2%) | 0.0001 |
| 35-60 | 176(51.9 %) | 77(45%) | |
| > 60 | 46(13.6%) | 80(46.8%) | |
| Education | |||
| Illiterate | 1(0.3%) | 24(14%) | 0.0001 |
| High school | 126(63.7%) | 96(67%) | |
| Undergraduate | 94(28%) | 23(14%) | |
| Postgraduate | 28(8%) | 9(5%) | |
| Occupation | |||
| Unemployed | 20(6%) | 17(10%) | 0.0001 |
| Worker | 24(7%) | 13(8%) | |
| Employee | 119(35%) | 30(17.5%) | |
| Retired | 8(2%) | 19(11%) | |
| House wife | 89(26%) | 42(25%) | |
| Free lancer | 76(22%) | 49(29%) | |
| Gender | |||
| Yes | 195(57.5%) | 117(69%) | 0.014 |
| No | 144(42.5) | 53(31%) | |
| History of Exposure | |||
| Yes | 163(48%) | 107(64.5%) | 0.001 |
| No | 176(52%) | 64(35.5%) | |
| History of Smoking | |||
| Yes | 79(23%) | 33(20%) | 0.384 |
| No | 260(77%) | 133(80%) | |
| History of Drugs | |||
| Yes | 13(4%) | 10(6%) | 0.265 |
| History of Chronic Disease | |||
| Hypertension | 55(16%) | 68(40%) | 0.0001 |
| Heart disease | 30(9%) | 40(23%) | 0.0001 |
| Diabetic | 38(11%) | 51(30%) | 0.0001 |
| Hypothyroid | 28(8%) | 8(5%) | 0.140 |
| Anemia | 8(2.5%) | 44(26%) | 0.0001 |
| History of taking supplement in the last three months | 148(44%) | 55(32%) | 0.0001 |
| Number of supplements type (mean ± SD) | 1±1.53 | 0.67±1.28 | 0.012 |
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| 30(19%) | 7(14%) | 0.69 |
Mann–Whitney Test,
Chi- Square Test,
Obesity: BMI>30
Analysis of clinical symptoms and intake of supplement pattern in both outpatient and inpatient groups infected with COVID-19
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| Clinical symptom | |||
| Fever & chilly | 176(52%) | 101(59%) | 0.126 |
| Cough | 248(73%) | 118(70%) | 0.326 |
| Sputum | 110(32.5%) | 60(35%) | 0.566 |
| Myalgia | 214(63%) | 89(52%) | 0.016 |
| Fatigue | 215(63%) | 72(42%) | 0.0001 |
| Gastrointestinal symptoms | |||
| Diarrhea | 94(28%) | 41(24%) | 0.365 |
| Nausea | 117(34.5%) | 56(33) | 0.172 |
| Vomiting | 60(18%) | 38(22%) | 0.221 |
| Headache | 167(50%) | 54(32%) | 0.0001 |
| Sweating | 41(12%) | 18(10.5%) | 0.601 |
| Anorexia | 141(42%) | 74(43%) | 0.747 |
| Weakness | 86(25.5%) | 48(28%) | 0.153 |
| Loss of sense of taste | 18(5.3%) | 12(7%) | 0.439 |
| Chest Pain | 48(14%) | 9(5%) | 0.003 |
| Sore throat | 56(16.5%) | 14(8%) | 0.010 |
| Signs in Lung CT scan | |||
| Consolidation | 12(5%) | 8(5%) | 0.8/95 |
| Bilateral Pulmonary Infiltration | 51(21%) | 43(25%) | 0.310 |
| Ground- glass Opacity | 138(57%) | 147(87%) | 0.0001 |
| Bilateral Pulmonary Infiltration & Ground- glass Opacity | 2(1.2%) | 14(1.7%) | 0.445 |
| Hemoglobin level | 13.84±1.76 | 12.54±2.43 | 0.001 |
| BG&RH | |||
| O | 72(36%) | 13(47%) | 0.198 |
| A | 57(28.5%) | 12(39%) | |
| B | 42(20.5%) | 0 | |
| AB | 31(5%) | 3(14%) | |
| General Condition | |||
| General | 320(94%) | 22(13%) | 0.0001 |
| Severe | 19(6%) | 80(47%) | |
| Critical | 0 | 67(40%) | |
| Pattern of Supplement usage | |||
| Daily | 50(34%) | 26(47%) | 0.162 |
| Weekly | 24(16%) | 9(16%) | |
| Monthly | 32(22%) | 9(16%) | |
| Irregular | 42(28%) | 11(21%) | |
| Usage of Vitamin D supplement | 103(30%) | 28(16.5%) | 0.001 |
| Usage of Zinc supplement | 29(9%) | 4(2%) | 0.007 |
| Usage of Multi- vitamin | 47(14%) | 18(10.5%) | 0.286 |
Mann–Whitney Test, Chi- Square Test
Nominal regression analysis was used to examine the relation of general condition of patients with some variables
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| Gender | -.362 | .335 | .696 | .334 | 1.453 |
| Smoking | -.397 | .357 | .672 | .288 | 1.567 |
| HTN | 1.609 | .000 | 4.997 | 2.433 | 10.265 |
| Diabetes | .882 | .021 | 2.415 | 1.140 | 5.117 |
| Cardiac Disease. | .627 | .156 | 1.871 | .787 | 4.450 |
| Anemia | 3.131 | .000 | 22.905 | 9.355 | 56.083 |
| Vitamin .D intake | -1.235 | .022 | .291 | .102 | .834 |
| Zinc intake | -.927 | .407 | .396 | .044 | 3.532 |
| Multi vitamin Intake | .167 | .768 | 1.182 | .390 | 3.581 |
Binary logistic regression analysis was used to examine the Relation of variable levels in two groups
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| Step 1a | Education | .014 | .972 | 1.014 | 0.456 | 2.257 |
| Job | -.699 | .135 | .497 | 0.199 | 1.242 | |
| Exposure | .003 | .993 | 1.003 | 0.933 | 1.003 | |
| Smoke History | .672 | .153 | 1.958 | 0.153 | 1.958 | |
| Hypothyroid | .159 | .830 | 1.173 | 0.275 | 5.007 | |
| Gender | 1.333 | .003 | 3.791 | 1.576 | 9.119 | |
| Hypertension | -1.078 | .025 | .340 | .133 | .873 | |
| Diabetes | .194 | .673 | 1.214 | .493 | 2.990 | |
| Anemia | .053 | .933 | 1.055 | .306 | 3.637 | |
| Vitamin D Intake | .683 | .106 | 1.980 | .864 | 4.541 | |
| Zinc Intake | .727 | .374 | 2.069 | .417 | 10.266 | |
| Multivitamin Intake | -.380 | .492 | .684 | .231 | 2.022 | |
| Hemoglobin | .365 | .004 | 1.440 | 1.126 | 1.842 | |
| Heart | -.419 | .448 | .658 | .223 | 1.941 | |
| Autoimmune diseases | -.840 | .485 | .432 | .041 | 4.553 | |
| Constant | -7.526 | .000 | .001 | |||