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Table 4 Logistic regression analyses predicting odds ratios of anemia and iron deficiency

From: Effects of maternal education on diet, anemia, and iron deficiency in Korean school-aged children

Variables

Logistic regression predicting

anemia and iron deficiencya

 

UnadjustedbORc(95% CId)

AdjustedeOR (95% CI)

Maternal educationf

0.48 (0.30-0.78)**

0.52 (0.32-0.85)**

Overweight g

1.73 (1.02-2.96)*

 

Dietary fiber

1.02 (0.99-1.06)

 

Dietary animal protein

1.00 (0.98-1.02)

 

Dietary animal iron

1.05 (0.89-1.23)

 

Dietary vitamin C

1.01 (1.00-1.01)*

 

Dietary folate

1.00 (1.00-1.01)

 

Dietary zinc

0.99 (0.92-1.07)

 

Dietary fat

1.00 (0.99-1.02)

 
  1. a Logistic regression was used to predict yes or no answers to a question about whether a subject had anemia or iron deficiency
  2. b Unadjusted analysis refers to a simple logistic regression with the dependent variable
  3. c OR odds ratio
  4. d CI confidence interval
  5. e Adjusted analysis refers to the covariates that were best able to predict poor health, anemia, and iron deficiency using stepwise regression techniques in a multivariable model
  6. f Maternal education (1, low; 2, high)
  7. g Overweight (1, BMI < 85th percentile; 2, BMI ≥ 85th percentile)
  8. *P < 0.05, ** P < 0.01
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BMC Public Health

ISSN: 1471-2458

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