| Literature DB >> 35634398 |
Saeedeh Nouri-Majd1, Armin Ebrahimzadeh2, Seyed Mohammad Mousavi3, Nikan Zargarzadeh4, Mina Eslami5, Heitor O Santos6, Mohsen Taghizadeh2, Alireza Milajerdi2.
Abstract
Background and Aims: Magnesium is an anti-inflammatory mineral that plays a role in the innate immune system, and the relaxation of bronchial smooth muscle warrants additional attention in COVID-19. This study examined the association between magnesium intake and COVID-19 severity and related symptoms in hospitalized patients.Entities:
Keywords: COVID-19; COVID-19 severity; COVID-19 symptoms; magnesium; magnesium intake
Year: 2022 PMID: 35634398 PMCID: PMC9132593 DOI: 10.3389/fnut.2022.873162
Source DB: PubMed Journal: Front Nutr ISSN: 2296-861X
Figure 1Flowchart of the study's participants.
General characteristics of participants across tertiles of dietary magnesium intake.
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| Age (years) | 45.7 ± 11.5 | 44.2 ± 12.5 | 42.5 ± 12.3 | 0.23 |
| Female (%) | 59.0 | 51.2 | 47.0 | 0.29 |
| BMI (kg/m2) | 27.8 ± 3.6 | 27.8 ± 4.2 | 25.3 ± 2.7 | <0.001 |
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| Sedentary | 14.5 | 15.5 | 7.2 | |
| Moderate | 78.3 | 77.4 | 86.7 | |
| Intense | 7.2 | 7.1 | 6.0 | |
| Overweight or obese (%) | 78.3 | 70.2 | 53.0 | 0.002 |
| Supplements intake (%) | 92.8 | 95.2 | 96.4 | 0.56 |
| Corticosteroids use (%) | 91.5 | 92.3 | 92.0 | 0.83 |
| Antiviral Drugs use (%) | 91.6 | 92.9 | 91.6 | 0.94 |
| Duration of hospitalization (day) | 7.2 ± 3.1 | 6.5 ± 3.09 | 5.9 ± 2.4 | 0.007 |
| Convalescence duration (day) | 10.1 ± 3.3 | 10.3 ± 4.5 | 8.0 ± 2.9 | <0.001 |
Data were obtained from ANOVA or Chi-square test, when appropriate.
Selected food groups and nutrients intakes of participants across tertiles of dietary magnesium intake.
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| Energy (Kcal/day) | 2,554 ± 48.7 | 2,859 ± 48.4 | 2,827 ± 48.6 | <0.001 |
| Carbohydrate (g/d) | 400.1 ± 4.4 | 412.8 ± 4.2 | 417.8 ± 4.3 | 0.01 |
| Fat (g/day) | 96.2 ± 2.2 | 107.8 ± 2.2 | 98.6 ± 2.2 | 0.001 |
| Protein (g/day) | 95.5 ± 1.1 | 108.0 ± 1.1 | 120.7 ± 1.1 | <0.001 |
| Dietary fiber (g/day) | 19.1 ± 0.3 | 22.7 ± 0.3 | 27.7 ± 0.3 | <0.001 |
| Vitamin B1 (mg/d) | 2.3 ± 0.3 | 2.5 ± 0.3 | 2.6 ± 0.3 | <0.001 |
| Vitamin B2 (mg/d) | 1.7 ± 0.3 | 1.9 ± 0.3 | 2.2 ± 0.3 | <0.001 |
| Vitamin B3 (mg/d) | 26.2 ± 0.3 | 27.6 ± 0.3 | 28.5 ± 0.3 | <0.001 |
| Vitamin B6 (mg/day) | 1.4 ± 0.2 | 1.8 ± 0.2 | 1.9 ± 0.2 | <0.001 |
| Folate (μg/day) | 337.6 ± 6.6 | 409.4 ± 6.5 | 501.5 ± 6.5 | <0.001 |
| Vitamin B12 (μg/day) | 3.3 ± 0.1 | 4.1 ± 0.1 | 5.2 ± 0.1 | <0.001 |
| Vitamin C (mg/day) | 110.7 ± 2.8 | 134.9 ± 2.7 | 171.7 ± 2.7 | <0.001 |
| Vitamin D (μg/day) | 2.4 ± 0.8 | 2.1 ± 0.7 | 2.3 ± 0.7 | 0.01 |
| Omega3 (mg/d) | 0.27 ± 0.01 | 0.42 ± 0.01 | 0.52 ± 0.01 | <0.001 |
| Calcium (mg/day) | 832.8 ± 10.1 | 883.0 ± 9.9 | 1013.0 ± 9.9 | <0.001 |
| Zinc (mg/day) | 8.8 ± 0.1 | 10.4 ± 0.1 | 11.6 ± 0.1 | <0.001 |
| Potassium (mg/d) | 3,172.9 ± 36.9 | 3,730.6 ± 36.0 | 4,253.6 ± 36.0 | <0.001 |
| Magnesium (mg/d) | 278.5 ± 2.9 | 328.9 ± 2.8 | 379.3 ± 2.8 | <0.001 |
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| Refined grains | 531.7 ± 16.3 | 489.4 ± 15.9 | 490.9 ± 15.9 | 0.01 |
| Whole grains | 72.3 ± 9.1 | 89.6 ± 8.8 | 85.1 ± 8.8 | 0.38 |
| Fruits | 278.2 ± 11.0 | 339.2 ± 10.7 | 448.7 ± 10.7 | <0.001 |
| Vegetables | 202.9 ± 8.0 | 262.7 ± 7.8 | 367.6 ± 7.8 | <0.001 |
| Red meats | 41.8 ± 2.2 | 41.1 ± 2.2 | 37.7 ± 2.2 | 0.98 |
| Processed meats | 12.5 ± 1.4 | 15.8 ± 1.4 | 5.4 ± 1.4 | <0.001 |
| Fish | 12.5 ± 1.1 | 21.8 ± 1.1 | 34.8 ± 1.1 | <0.001 |
| Poultry | 43.7 ± 2.1 | 52.1 ± 2.0 | 68.9 ± 2.0 | <0.001 |
| Legumes | 103.7 ± 4.0 | 131.8 ± 3.9 | 166.7 ± 3.9 | <0.001 |
| Nuts | 19.8 ± 1.2 | 33.1 ± 1.2 | 38.1 ± 1.2 | <0.001 |
| Low fat dairy | 136.8 ± 7.6 | 146.2 ± 7.4 | 184.9 ± 7.3 | <0.001 |
| High fat dairy | 148.3 ± 7.0 | 124.5 ± 6.7 | 126.5 ± 6.7 | 0.03 |
Data are presented as mean ± SE.
All values were adjusted for age, sex and energy intake, except for dietary energy intake, which was only adjusted for age and sex using ANCOVA.
Inflammatory biomarkers across tertiles of dietary magnesium intake.
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| CRP (mg/L) | 29.5 ± 2.1 | 17.7 ± 2.1 | 11.8 ± 2.2 | <0.001 |
| ESR (mm/hr) | 34.7 ± 2.4 | 24.3 ± 2.3 | 15.8 ± 2.4 | <0.001 |
CRP, C-reactive protein; ESR, erythrocyte sedimentation rate.
Data are presented as mean ± SE.
Values were adjusted for age, sex, BMI, and physical activity using ANCOVA.
Odds ratio (95% CI) of severe disease according to tertiles of dietary magnesium intake.
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| Crude | 1 | 0.45 (0.24–0.83) | 0.24 (0.13–0.47) | <0.001 |
| Model 1 | 1 | 0.39 (0.20–0.76) | 0.21 (0.11–0.43) | <0.001 |
| Model 2 | 1 | 0.37 (0.18–0.75) | 0.20 (0.09–0.41) | <0.001 |
| Model 3 | 1 | 0.41 (0.20–0.85) | 0.32 (0.15–0.70) | 0.005 |
Model 1: Adjustments for age, sex, and energy intake.
Model 2: Model 1 + adjustments for physical activity and use of supplements, corticosteroids, and antiviral drugs.
Model 3: Model 2 + adjustment for BMI.
Data obtained from Binary logistic regression.
Odds ratio (95% CI) for symptoms of COVID-19 according to tertiles of dietary magnesium intake.
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| Crude | 1 | 0.51 (0.26–0.99) | 0.29 (0.15–0.57) | <0.001 |
| Model 1 | 1 | 0.41 (0.19–0.86) | 0.23 (0.11–0.48) | <0.001 |
| Model 2 | 1 | 0.35 (0.16–0.79) | 0.20 (0.09–0.44) | <0.001 |
| Model 3 | 1 | 0.38 (0.17–0.87) | 0.28 (0.12–0.65) | 0.004 |
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| Crude | 1 | 0.28 (0.14–0.54) | 0.23 (0.12–0.46) | <0.001 |
| Model 1 | 1 | 0.20 (0.09–0.42) | 0.16 (0.08–0.35) | <0.001 |
| Model 2 | 1 | 0.20 (0.09–0.42) | 0.17 (0.08–0.37) | <0.001 |
| Model 3 | 1 | 0.20 (0.09–0.45) | 0.28 (0.12–0.63) | 0.004 |
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| Crude | 1 | 0.24 (0.11–0.56) | 0.30 (0.13–0.70) | 0.007 |
| Model 1 | 1 | 0.20 (0.08–0.48) | 0.24 (0.10–0.59) | 0.004 |
| Model 2 | 1 | 0.19 (0.08–0.48) | 0.25 (0.10–0.63) | 0.007 |
| Model 3 | 1 | 0.21 (0.08–0.52) | 0.35 (0.13–0.93) | 0.07 |
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| Crude | 1 | 0.21 (0.09–0.50) | 0.26 (0.11–0.63) | 0.004 |
| Model 1 | 1 | 0.18 (0.07–0.45) | 0.21 (0.09–0.55) | 0.003 |
| Model 2 | 1 | 0.17 (0.07–0.44) | 0.22 (0.09–0.58) | 0.005 |
| Model 3 | 1 | 0.19 (0.07–0.48) | 0.34 (0.13–0.92) | 0.008 |
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| Crude | 1 | 0.35 (0.18–0.67) | 0.13 (0.06–0.28) | <0.001 |
| Model 1 | 1 | 0.28 (0.14–0.57) | 0.11 (0.05–0.25) | <0.001 |
| Model 2 | 1 | 0.27 (0.13–0.56) | 0.11 (0.05–0.26) | <0.001 |
| Model 3 | 1 | 0.28 (0.14–0.59) | 0.14 (0.06–0.34) | <0.001 |
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| Crude | 1 | 0.73 (0.40–1.35) | 0.36 (0.19–0.68) | 0.002 |
| Model 1 | 1 | 0.70 (0.36–1.35) | 0.35 (0.17–0.69) | 0.002 |
| Model 2 | 1 | 0.68 (0.35–1.32) | 0.33 (0.17–0.67) | 0.002 |
| Model 3 | 1 | 0.74 (0.37–1.45) | 0.45 (0.21–0.94) | 0.03 |
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| Crude | 1 | 0.52 (0.24–1.16) | 0.04 (0.005–0.29) | <0.001 |
| Model 1 | 1 | 0.35 (0.15–0.83) | 0.03 (0.003–0.20) | <0.001 |
| Model 2 | 1 | 0.36 (0.15–0.86) | 0.02 (0.003–0.19) | <0.001 |
| Model 3 | 1 | 0.38 (0.16–0.91) | 0.03 (0.004–0.24) | <0.001 |
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| Crude | 1 | 0.77 (0.41–1.42) | 0.09 (0.04–0.23) | <0.001 |
| Model 1 | 1 | 0.66 (0.34–1.27) | 0.08 (0.03–0.21) | <0.001 |
| Model 2 | 1 | 0.66 (0.34–1.28) | 0.08 (0.03–0.21) | <0.001 |
| Model 3 | 1 | 0.71 (0.36–1.38) | 0.10 (0.04–0.29) | <0.001 |
Model 1: Adjustments for age, sex, and energy intake.
Model 2: Model 1 + adjustments for physical activity and use of supplements, corticosteroids, and antiviral drugs.
Model 3: Model 2 + adjustment for BMI.
Data obtained from Binary logistic regression.
Figure 2Possible mechanism of the role of magnesium in COVID-19.