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Table 4 Odds ratios and 95% confidence intervals for the association between dietarypatterns and MS

From: Association between multiple sclerosis and dietary patterns based on the traditional concept of food nature: a case-control study in Iran

Dietary pattern

Q1

Q2

Q3

Q4

P-value

Additives and cold-natured foods

 Model1

1

2.34 (0.88–6.20)

2.15 (0.78–5.89)

3.02 (1.14–8.02)

0.02

 Model2

1

2.37 (0.77–7.26)

3.07 (0.93–10.08)

6.87 (2.00–10.53)

0.002

 Model3

1

2.42 (0.77–7.57)

3.37 (1.02–11-35)

7.21 (2.01–12.38)

0.002

Hot and balanced foods and nuts

 Model1

1

0.78 (0.33–1.84)

0.99 (0.42–2.30)

0.36 (0.14–0.94)

0.03

 Model2

1

0.73 (0.27–1.93)

0.84 (0.32–2.19)

0.28 (0.09–0.88)

0.03

 Model3

1

0.70 (0.26–1.90)

0.76 (0.28–2.05)

0.28 (0.08–0.90)

0.03

Dairy and Legumes

 Model1

1

1.18 (0.48–2.92)

1.59 (0.66–3.82)

0.59 (0.22–1.54)

0.20

 Model2

1

0.89 (0.31–2.53)

1.31 (0.46–3.74)

0.32 (0.09–1.16)

0.07

 Model3

1

0.87 (0.30–2.54)

1.26 (0.43–3.70)

0.30 (0.08–1.13)

0.07

Hot and balanced starches

 Model1

1

0.54 (0.23–1.28)

0.92 (0.40–2.10)

0.33 (0.13–0.84)

0.02

 Model2

1

0.58 (0.22–1.50)

1.01 (0.40–2.55)

0.38 (0.13–1.03)

0.06

 Model3

1

0.56 (0.21–1.52)

0.97 (0.37–2.50)

0.34 (0.12–0.98)

0.04

  1. Three logistic regression models were tested: Model 1 was unadjusted; Model 2 was adjusted for BMI, energy intake, gender, and age; Model 3 was further optimized for the patients’ Mizaj (Hot, Balanced, Cold)