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Table 3 Associations between body composition and breast cancer

From: Association of body composition with odds of breast cancer by molecular subtype: analysis of the Mechanisms for Established and Novel Risk Factors for Breast Cancer in Nigerian Women (MEND) study

 

Model 1a

OR (95% CI)

Model 2b

aOR (95% CI)

Model 3c

aOR (95% CI)

Model 4d

aOR (95% CI)

BMI (kg/m2) quartile

 ≤ 22.5

Ref.

Ref.

Ref.

Ref.

 > 22.5 - ≤25.6

0.79 (0.52, 1.22)

0.76 (0.49, 1.18)

0.73 (0.44, 1.22)

0.60 (0.31, 1.19)

 > 25.6 - ≤29.8

0.68 (0.44, 1.04)

0.65 (0.42, 1.01)

0.63 (0.38, 1.04)

0.38 (0.15, 0.95)

 > 29.8

0.60 (0.39, 0.92)

0.56 (0.36, 0.86)

0.56 (0.33, 0.92)

0.32 (0.10, 1.09)

  P-trend

.01

.01

.02

.06

aOR (95% CI) per unit SD

0.81 (0.70, 0.94)

0.79 (0.68, 0.93)

0.79 (0.67, 0.95)

0.75 (0.15, 3.72)

Height (cm) quartile

 ≤ 156.0

Ref.

Ref.

Ref.

Ref.

 > 156.0 - ≤160.0

1.05 (0.67, 1.64)

1.07 (0.68, 1.68)

1.05 (0.62, 1.76)

0.90 (0.51, 1.57)

 > 160.0 - ≤164.0

1.41 (0.94, 2.10)

1.45 (0.97, 2.16)

1.29 (0.81, 2.05)

1.12 (0.66, 1.90)

 > 164.0

1.22 (0.81, 1.84)

1.27 (0.84, 1.91)

1.08 (0.67, 1.73)

0.87 (0.48, 1.60)

  P-trend

.17

.13

.55

.85

aOR (95% CI) per unit SD

1.15 (0.99, 1.34)

1.16 (1.00, 1.36)

1.07 (0.90, 1.28)

1.05 (0.56, 1.96)

Weight (kg) quartile

 ≤ 56.7

Ref.

Ref.

Ref.

Ref.

 > 56.7 - ≤65.0

0.85 (0.56, 1.31)

0.84 (0.54, 1.28)

0.75 (0.46, 1.24)

1.09 (0.55, 2.15)

 > 65.0 - ≤77.0

0.89 (0.58, 1.37)

0.87 (0.56, 1.34)

0.93 (0.56, 1.57)

2.04 (0.78, 5.29)

 > 77.0

0.74 (0.48, 1.14)

0.71 (0.46, 1.10)

0.63 (0.38, 1.04)

1.70 (0.48, 5.98)

  P-trend

.22

.16

.14

.31

aOR (95% CI) per unit SD

0.86 (0.74, 1.00)

0.85 (0.73, 0.99)

0.83 (0.69, 0.98)

1.06 (0.20, 5.75)

  1. P-trend based on continuous predictors; aOR per unit SD modeled as a one-unit increase in standard deviation of the variable from its mean-centered value
  2. Bolded values indicate significance at p < .05
  3. Abbreviations: OR odds ratio, CI confidence interval, aOR adjusted odds ratio, SD standard deviation
  4. Logistic regression models predicted odds of breast cancer. aModel 1, unadjusted; bModel 2, adjusted for age; cModel 3, additionally adjusted for clinical and reproductive characteristics: age at menarche, number of pregnancies, number of births, menopausal status, and prior hypertension diagnosis; dModel 4, additionally adjusted for all body composition measures: BMI, height, and weight