| Literature DB >> 34308122 |
Panayiotis Louca1, Benjamin Murray2, Kerstin Klaser2, Tim D Spector1, Cristina Menni1, Mark S Graham2, Mohsen Mazidi1, Emily R Leeming1, Ellen Thompson1, Ruth Bowyer1, David A Drew3, Long H Nguyen3, Jordi Merino3, Maria Gomez4, Olatz Mompeo1, Ricardo Costeira1, Carole H Sudre5, Rachel Gibson6, Claire J Steves1, Jonathan Wolf7, Paul W Franks4, Sebastien Ourselin2, Andrew T Chan3, Sarah E Berry6, Ana M Valdes1,8, Philip C Calder9.
Abstract
OBJECTIVES: Dietary supplements may ameliorate SARS-CoV-2 infection, although scientific evidence to support such a role is lacking. We investigated whether users of the COVID-19 Symptom Study app who regularly took dietary supplements were less likely to test positive for SARS-CoV-2 infection.Entities:
Keywords: COVID-19; nutritional treatment
Year: 2021 PMID: 34308122 PMCID: PMC8061565 DOI: 10.1136/bmjnph-2021-000250
Source DB: PubMed Journal: BMJ Nutr Prev Health ISSN: 2516-5542
Demographic characteristics of the study population
| UK (n=372 720) | USA (n=45 757) | SE (n=27 373) | ||||
| Supplement users | Supplement users | Supplement users | ||||
| Yes | No | Yes | No | Yes | No | |
| N (%) | 175 652 (47.1%) | 197 068 (52.9%) | 32 314 (70.6%) | 13 443 (29.4%) | 13 422 (49%) | 13 951 (51%) |
| SARS-CoV-2 positive, | 10 508 (6%) | 13 013 (6.6%) | 2002 (6.2%) | 1211 (9%) | 1806 (13.5%) | 2206 (15.8%) |
| Females, | 123 462 (70.3%) | 125 651 (63.8%) | 22 817 (70.6%) | 8210 (61.1%) | 9694 (72.2%) | 9088 (65.1%) |
| White, | 163 479 (93.1%) | 188 030 (95.4%) | 28 143 (87.1%) | 11 757 (87.5%) | 13 411 (99.9%) | 13 943 (99.9%) |
| Current smoker, | 6004 (3.4%) | 10 773 (5.5%) | 1252 (3.9%) | 924 (6.9%) | 735 (5.5%) | 795 (5.7%) |
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| Age, years | 49.57 (14.2) | 46.26 (14.4) | 56.24 (15.2) | 47.8 (16.0) | 49.0 (13.0) | 46.63 (12.9) |
| BMI, kg/m2 | 26.59 (5.6) | 27.04 (5.7) | 27.27 (5.9) | 27.21 (6) | 26.1 (4.8) | 26 (4.7) |
| IMD, median (IQR) | 7 (5) | 6 (5) | – | – | – | – |
| DQI, median (IQR) | 11 (3) | 11 (3) | – | – | – | – |
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| Omega-3 | 39 263 (22.4%) | – | 8663 (26.8%) | – | 3039 (22.6%) | – |
| Probiotics | 20 449 (11.6%) | – | 7268 (22.5%) | – | 1715 (12.8%) | – |
| Garlic | 7235 (4.1%) | – | 1137 (3.5%) | – | 941 (7%) | – |
| Multivitamins | 77 034 (43.9%) | – | 18 843 (58.3%) | – | 5496 (41%) | – |
| Vitamin D | 86 190 (49.1%) | – | 19 444 (60.2%) | – | 6722 (50.1%) | – |
| Vitamin C | 46 755 (26.6%) | – | 10 136 (31.4%) | – | 4045 (30.1%) | – |
| Zinc | 21 776 (12.4%) | – | 4330 (13.4%) | – | 2394 (17.8%) | – |
| Type 2 diabetes | 5047 (2.9%) | 4842 (2.5%) | 1787 (5.5%) | 437 (3.3%) | 331 (2.5%%) | 251 (1.8%%) |
| Cancer | 2178 (1.2%) | 1902 (1%) | 977 (3%) | 217 (1.6%) | 157 (1.2%) | 130 (0.9%) |
| Asthma | 27 146 (15.5%) | 26 020 (13.2%) | 5015 (15.5%) | 1788 (13.3%) | 2039 (15.2%) | 1673 (12%) |
| Heart disease | 5708 (3.3%) | 5278 (2.7%) | 2388 (7.4%) | 590 (4.4%) | 654 (4.9%) | 592 (4.2%) |
| Eczema | 22 896 (13%) | 23 454 (11.9%) | 3423 (10.6%) | 1346 (10%) | 1768 (13.2%) | 1779 (12.8%) |
| Hay fever | 79 024 (45%) | 80 114 (40.7%) | 17 000 (52.6%) | 6256 (46.5%) | 5497 (41%) | 5256 (37.7%) |
| Kidney disease | 1702 (1%) | 1542 (0.8%) | 630 (2%) | 143 (1.1%) | 117 (0.9%) | 102 (0.7%) |
| Lung disease | 24 651 (14%) | 22 924 (11.6%) | 4331 (13.4%) | 1329 (9.9%) | 1894 (14.1%) | 1488 (10.1%) |
Self-reported comorbidities were not asked at sign-up and therefore not reported by all subjects.
BMI, body mass index; DQI, Diet Quality Score; IMD, index of multiple deprivation; SE, Sweden.
Figure 1Associations between testing positive for SARS-CoV-2 and self-reported use of supplements in UK app users. Each cell of the matrix displays the OR of the association between use of a type of supplement and testing positive with the corresponding p value in parentheses. The table is colour coded according to the OR, with blue denoting a reduced risk and red denoting an increased risk of testing positive. Bold entries are statistically significant after accounting for multiple testing using Bonferroni correction. Dem, adjusted for age, sex, body mass ndex (BMI) and health status at sign up; All, adjusted for Dem, index of multiple deprivation, ethnicity, comorbidities (type 2 diabetes, cancer, asthma, heart disease, eczema, hay fever, kidney disease and lung disease), smoking, diet quality; stratified analyses are adjusted for age, (BMI) and health status at sign up as appropriate.
Figure 2ORs and 95% CIs for the associations between testing positive for SARS-CoV-2 and self-reported use of supplements in three cohorts (n=372 720 UK, n=45 575 USA and n=27 373 SE). Overall sample analyses are adjusted for age, sex, body mass index (BMI) and health status at sign up. Analyses according to sex are adjusted for age, BMI and health status at sign up.