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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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