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Table 4 Association between maternal breakfast intake frequency and HDP stratified by energy intake

From: Skipping breakfast during pregnancy and hypertensive disorders of pregnancy in Japanese women: the Tohoku medical megabank project birth and three-generation cohort study

 

Frequency of breakfast consumption

p-for trend1

Everyday

5–6 times/week

3–4 times/week

0–2 times/week

Energy intake

Quartile 1 (low)

 n cases/n (%)

351/3091 (11.4)

72/509 (14.2)

53/394 (13.5)

95/702 (13.5)

 

 Model 1, OR(95% CI)

1.00

1.29

(0.98–1.69)

1.21

(0.89–1.65)

1.22

(0.96–1.56)

0.05

 Model 2, OR(95% CI)

1.00

1.18

(0.88–1.57)

1.07

(0.77–1.47)

1.13

(0.87–1.47)

0.25

 Model 3, OR(95% CI)

1.00

1.16

(0.87–1.55)

1.04

(0.75–1.44)

1.10

(0.84–1.44)

0.35

Quartile 2

 n cases/n (%)

327/3535 (9.2)

70/493 (14.2)

45/325 (13.9)

44/344 (12.8)

 

 Model 1, OR(95% CI)

1.00

1.62

(1.23–2.14)

1.58

(1.13–2.20)

1.44

(1.03–2.01)

< 0.001

 Model 2, OR(95% CI)

1.00

1.53

(1.15–2.05)

1.44

(1.01–2.05)

1.21

(0.85–1.73)

0.03

 Model 3, OR(95% CI)

1.00

1.48

(1.10–1.99)

1.39

(0.98–1.98)

1.17

(0.81–1.67)

0.05

Quartile 3

 n cases/n (%)

344/3675 (9.4)

62/432 (14.4)

30/282 (10.6)

48/308 (15.6)

 

 Model 1, OR(95% CI)

1.00

1.62

(1.21–2.17)

1.15

(0.78–1.71)

1.79

(1.29–2.48)

< 0.001

 Model 2, OR(95% CI)

1.00

1.48

(1.10–2.01)

1.07

(0.71–1.61)

1.74

(1.22–2.48)

< 0.001

 Model 3, OR(95% CI)

1.00

1.46

(1.07–1.98)

1.03

(0.68–1.56)

1.68

(1.17–2.40)

0.007

Quartile 4

 n cases/n (%)

375/3644 (10.3)

64/448 (14.3)

34/283 (12.0)

61/321 (19.0)

 

 Model 1, OR(95% CI)

1.00

1.45

(1.09–1.93)

1.19

(0.82–1.73)

2.05

(1.52–2.76)

< 0.001

 Model 2, OR(95% CI)

1.00

1.35

(1.01–1.82)

1.04

(0.71–1.54)

1.72

(1.24–2.38)

0.003

 Model 3, OR(95% CI)

1.00

1.34

(0.99–1.80)

1.02

(0.69–1.50)

1.66

(1.20–2.31)

0.005

  1. HDP hypertensive disorders of pregnancy, OR odds ratio, CI confidence interval
  2. Model 1 was the crude model
  3. Model 2 was adjusted for age at delivery, pre-pregnancy BMI, household income, smoking status, alcohol consumption, parity, gestational diabetes, morning sickness, and insomnia
  4. Model 3 was adjusted for the variables adjusted for in model 2 and consumption of energy, carbohydrate, potassium, sodium, vitamin D, and calcium
  5. 1p-for trends were calculated as trends across categories