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Table 2 Multiple logistic regression analysis for determination of the predictive variables for macronutrients in COVID-19

From: The association between macronutrient intakes and coronavirus disease 2019 (COVID-19) in an Iranian population: applying a dynamical system model

Variables

Crude

P value

Adjusteda

P value

ORb (95% CIc)

OR (95% CI)

PUFA (g)

1.0048 (0.9919, 1.0179)

0.464

1.0023 (1.0005, 1.0040)

0.174

Starch (mg)

1.0030 (0.9995, 1.0066)

0.089

1.0008 (1.0003, 1.0012)*

0.001

Total sugar (mg)

1.0030 (0.9995, 1.0066)

0.089

1.0006 (1.0001, 1.0011)*

0.026

Fiber (g)

0.9856 (0.9645, 1.0072)

0.189

0.9985 (0.9965, 1.0005)

0.138

  1. PUFA Polyunsaturated fatty acids
  2. AIC = 631.9649, BIC = 662.8360
  3. *P < 0.05 was considered statistically significant
  4. aAdjusted for all of variables
  5. bOdds ratio (OR)
  6. cConfident interval (CI)
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Journal of Health, Population and Nutrition

ISSN: 2072-1315

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