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Table 3 Final adjusted logistic regression model including early life predictors of low IQ at age 6

From: Early life determinants of low IQ at age 6 in children from the 2004 Pelotas Birth Cohort: a predictive approach

Predictor

OR a(95% CI)

p-value

Weights

Male

1.5 (1.2–1.8)

p = 0.0002

15

Skin color: both mother and father non-white

1.9 (1.5–2.1)

p = 0.0000

25

Father unemployed at the child’s birth

1.6 (1.2–2.0)

p = 0.0002

18

Mother unemployed during the child’s first 12 months of life

1.5 (1.2–1.8)

p = 0.0003

15

Household income at the child’s birthb

1.3 (1.2–1.5)

p = 0.0000

12b

Maternal educationb

1.8 (1.6–2.2)

p = 0.0000

23b

Number of siblings at the child’s birth: 3 or more

1.8 (1.3–2.3)

p = 0.0001

22

Number of persons per room at age 12 month: 3 or more

1.6 (1.3–2.0)

p = 0.0000

18

At least one smoking parent during pregnancy

1.3 (1.1–1.6)

p = 0.0145

10

Duration of breastfeeding

 

p = 0.0000

 

<1 month

2.2 (1.6–3.1)

 

31

1–11 months

1.3 (1.0–1.6)

 

10

≥12 months

1

  

Head circumference-for-age deficit during the first year of life

1.7 (1.2–2.4)

p = 0.0022

20

Height-for-age deficit during the first year of life

1.3 (1.0–1.7)

p = 0.0524

10

Maternal perception of the child’s health status (good/fair/poor)c

1.4 (1.2–1.8)

p = 0.0009

14

  1. aAdjusted for child’s age, interview setting, IQ test evaluator.
  2. bThe effect indicates increased odds of low IQ by predictor category.
  3. cThe reference category is excellent/very good health.
  4. CI = confidence intervals; IQ = intelligence quotient.
  5. The 2004 Pelotas Birth Cohort (n = 3312).