| Literature DB >> 36245547 |
Kiana Tadbir Vajargah1, Nikan Zargarzadeh1, Armin Ebrahimzadeh2, Seyed Mohammad Mousavi3, Parnia Mobasheran4, Pari Mokhtari5, Habib Rahban6,7, Mihnea-Alexandru Găman8,9, Camellia Akhgarjand3, Mohsen Taghizadeh2, Alireza Milajerdi2.
Abstract
Background and aims: Fruits and vegetables are rich in fiber and a good source of anti-inflammatory and immune-boosting vitamins, minerals, and antioxidants. We investigated the association between fruits, vegetables, and fiber intake and severity of COVID-19 and related symptoms in hospitalized patients.Entities:
Keywords: COVID-19; dietary fiber; fruits; infectious disease; severe disease; vegetables
Year: 2022 PMID: 36245547 PMCID: PMC9557193 DOI: 10.3389/fnut.2022.934568
Source DB: PubMed Journal: Front Nutr ISSN: 2296-861X
Demographic characteristics of the study participants across tertiles of dietary fruits, vegetables, and fiber.
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| Participants ( | 83 | 84 | 83 | 83 | 84 | 83 | 83 | 84 | 83 | |||||
| Age (years) | 44.6 ± 12.0 | 45.3 ± 12.2 | 42.4 ± 12.2 | 0.26 | 43.8 ± 12.1 | 42.8 ± 13.1 | 45.8 ± 11.1 | 0.26 | 45.4 ± 12.4 | 43.0 ± 11.9 | 44.0 ± 12.2 | 0.43 | ||
| Males (%) | 42.2 | 41.7 | 59.0 | 0.04 | 44.6 | 42.9 | 55.4 | 0.21 | 43.4 | 45.2 | 54.2 | 0.33 | ||
| BMI (kg/m2) | 29.0 ± 3.8 | 26.0 ± 3.5 | 26.9 ± 3.7 | <0.001 | 28.7 ± 3.5 | 26.8 ± 4.2 | 25.3 ± 2.6 | <0.001 | 29.2 ± 3.6 | 25.8 ± 3.6 | 25.9 ± 3.0 | <0.001 | ||
| Physical activity | 0.42 | 0.66 | 0.57 | |||||||||||
| Sedentary (31) | 15.7 | 14.3 | 7.2 | 12.0 | 15.5 | 9.6 | 16.9 | 11.9 | 8.4 | |||||
| Moderate (202) | 79.5 | 77.4 | 85.5 | 80.7 | 76.2 | 85.5 | 75.9 | 82.1 | 84.3 | |||||
| Intense (17) | 4.8 | 8.3 | 7.2 | 7.2 | 8.3 | 4.8 | 7.2 | 6.0 | 6.8 | |||||
| Overweight or obese (%) | 85.5 | 58.3 | 57.8 | <0.001 | 86.7 | 67.9 | 47.0 | <0.001 | 86.7 | 58.3 | 56.6 | <0.001 | ||
| Supplements intake (%) | 98.8 | 96.4 | 89.2 | 0.01 | 95.2 | 96.4 | 92.8 | 0.56 | 98.8 | 95.2 | 90.4 | 0.04 | ||
| Corticosteroids use (%) | 98.8 | 92.9 | 84.3 | 0.003 | 94.0 | 91.7 | 90.4 | 0.68 | 98.8 | 89.3 | 88.0 | 0.02 | ||
| Antiviral Drugs use (%) | 98.8 | 92.9 | 84.3 | 0.003 | 94.0 | 91.7 | 90.4 | 0.68 | 98.8 | 89.3 | 88.0 | 0.02 | ||
| CRP (mg/L) | 27.05 ± 2.25 | 21.37 ± 2.14 | 10.51 ± 2.17 | <0.001 | 33.10 ± 2.10 | 13.01 ± 2.00 | 12.92 ± 2.11 | <0.001 | 33.86 ± 2.12 | 14.21 ± 2.02 | 10.95 ± 2.02 | <0.001 | ||
| Duration of hospitalization (day) | 7.6 ± 3.0 | 6.6 ± 2.8 | 5.4 ± 2.5 | <0.001 | 7.4 ± 3.0 | 6.2 ± 3.1 | 6.0 ± 2.5 | 0.005 | 7.7 ± 2.9 | 6.2 ± 2.9 | 5.8 ± 2.7 | <0.001 | ||
| Convalescence duration (day) | 11.3 ± 4.4 | 8.7 ± 3.3 | 8.3 ± 2.7 | <0.001 | 10.5 ± 3.8 | 9.6 ± 4.3 | 8.2 ± 2.6 | <0.001 | 11.3 ± 4.5 | 8.7 ± 3.2 | 8.3 ± 2.6 | <0.001 | ||
All values are mean ± SD or percent.
aObtained from ANOVA or chi-square test, where appropriate.
bPresented as mean ± SE, and values were adjusted for age, energy intake, BMI, and physical activity using ANCOVA.
Figure 1Crude and multivariable-adjusted odds ratios and 95% CIs of severe COVID-19 disease according to tertiles of dietary fruits, vegetables, and fiber. Multivariable adjusted for age, BMI, energy intake, and physical activity.
Crude and multivariable-adjusted odds ratios and 95% CIs for symptoms of COVID-19 according to tertiles of dietary fruits, vegetables, and fiber.
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| Crude | 1.00 | 0.26 (0.13, 0.53) | 0.21 (0.10, 0.43) | <0.001 | 1.00 | 0.40 (0.20, 0.79) | 0.25 (0.13, 0.50) | <0.001 | 1.00 | 0.11 (0.05, 0.25) | 0.18 (0.08, 0.39) | <0.001 | ||
| Model 1 | 1.00 | 0.34 (0.15, 0.74) | 0.28 (0.13, 0.60) | 0.002 | 1.00 | 0.48 (0.23, 1.00) | 0.37 (0.17, 0.77) | 0.01 | 1.00 | 0.14 (0.06, 0.33) | 0.23 (0.10, 0.54) | 0.004 | ||
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| Crude | 1.00 | 0.11 (0.05, 0.25) | 0.12 (0.06, 0.26) | <0.001 | 1.00 | 0.27 (0.14, 0.53) | 0.20 (0.10, 0.39) | <0.001 | 1.00 | 0.07 (0.03, 0.17) | 0.11 (0.05, 0.24) | <0.001 | ||
| Model 1 | 1.00 | 0.16 (0.07, 0.36) | 0.17 (0.07, 0.38) | <0.001 | 1.00 | 0.34 (0.16, 0.70) | 0.35 (0.17, 0.75) | 0.009 | 1.00 | 0.10 (0.04, 0.24) | 0.15 (0.06, 0.35) | <0.001 | ||
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| Crude | 1.00 | 0.13 (0.05, 0.35) | 0.12 (0.05, 0.37) | <0.001 | 1.00 | 0.09 (0.03, 0.27) | 0.10 (0.03, 0.31) | <0.001 | 1.00 | 0.09 (0.03, 0.26) | 0.11 (0.04, 0.34) | <0.001 | ||
| Model 1 | 1.00 | 0.15 (0.05, 0.50) | 0.15 (0.05, 0.43) | 0.001 | 1.00 | 0.10 (0.03, 0.31) | 0.13 (0.04, 0.42) | <0.001 | 1.00 | 0.10 (0.03, 0.32) | 0.13 (0.04, 0.41) | 0.002 | ||
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| Crude | 1.00 | 0.07 (0.02, 0.26) | 0.07 (0.02, 0.24) | <0.001 | 1.00 | 0.07 (0.02, 0.23) | 0.08 (0.02, 0.27) | <0.001 | 1.00 | 0.04 (0.01, 0.18) | 0.05 (0.01, 0.22) | <0.001 | ||
| Model 1 | 1.00 | 0.09 (0.02, 0.34) | 0.09 (0.02, 0.31) | <0.001 | 1.00 | 0.08 (0.02, 0.27) | 0.10 (0.03, 0.38) | 0.002 | 1.00 | 0.05 (0.02, 0.23) | 0.06 (0.02, 0.28) | <0.001 | ||
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| Crude | 1.00 | 0.65 (0.34, 1.22) | 0.34 (0.17, 0.69) | 0.003 | 1.00 | 0.40 (0.20, 0.77) | 0.25 (0.12, 0.50) | <0.001 | 1.00 | 0.34 (0.17, 0.65) | 0.26 (0.13, 0.51) | <0.001 | ||
| Model 1 | 1.00 | 1.00 (0.48, 2.10) | 0.54 (0.24, 1.16) | 0.11 | 1.00 | 0.44 (0.22, 0.89) | 0.31 (0.14, 0.69) | 0.003 | 1.00 | 0.46 (0.22, 0.94) | 0.35 (0.17, 0.74) | 0.006 | ||
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| Crude | 1.00 | 0.66 (0.36, 1.22) | 0.29 (0.14, 0.55) | <0.001 | 1.00 | 0.49 (0.27, 0.92) | 0.35 (0.18, 0.66) | 0.001 | 1.00 | 0.55 (0.30, 1.01) | 0.31 (0.16, 0.59) | <0.001 | ||
| Model 1 | 1.00 | 0.78 (0.39, 1.53) | 0.41 (0.20, 0.83) | 0.01 | 1.00 | 0.60 (0.31, 1.16) | 0.44 (0.21, 0.90) | 0.02 | 1.00 | 0.78 (0.39, 1.53) | 0.41 (0.20, 0.83) | 0.01 | ||
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| Crude | 1.00 | 0.84 (0.39, 1.82) | 0.05 (0.01, 0.36) | <0.001 | 1.00 | 0.16 (0.06, 0.43) | 0.12 (0.04, 0.38) | <0.001 | 1.00 | 0.16 (0.06, 0.43) | 0.12 (0.04, 0.38) | <0.001 | ||
| Model 1 | 1.00 | 1.21 (0.48,0.05) | 0.06 (0.01, 0.52) | 0.005 | 1.00 | 0.15 (0.05, 0.44) | 0.15 (0.05, 0.51) | <0.001 | 1.00 | 0.18 (0.06, 0.54) | 0.13 (0.04, 0.45) | <0.001 | ||
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| Crude | 1.00 | 0.56 (0.30, 1.05) | 0.15 (0.07, 0.34) | <0.001 | 1.00 | 0.51 (0.27, 0.95) | 0.15 (0.07, 0.32) | <0.001 | 1.00 | 0.25 (0.13, 0.49) | 0.12 (0.06, 0.26) | <0.001 | ||
| Model 1 | 1.00 | 0.32 (0.16, 0.66) | 0.16 (0.07, 0.36) | <0.001 | 1.00 | 0.59 (0.30, 1.14) | 0.19 (0.08, 0.45) | <0.001 | 1.00 | 0.32 (0.16, 0.66) | 0.16 (0.07, 0.35) | <0.001 | ||
Adjusted for age, BMI, energy intake, and physical activity.
*Obtained from Binary logistic regression.