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Table 4 Summary statistics of predictor variables used in logistic regression analysis

From: Progress in the utilization of antenatal and delivery care services in Bangladesh: where does the equity gap lie?

  2004 2007 2011
Variable Mean Std. Dev. Mean Std. Dev. Mean Std. Dev.
Current Age (in years) 24.75 6.22 24.73 5.94 24.49 5.64
Age at first birth (11–14) 0.13 0.33 0.09 0.28 0.09 0.28
Age at first birth (15–19) 0.67 0.47 0.65 0.48 0.64 0.48
Age at first birth (20–24) 0.17 0.38 0.22 0.42 0.22 0.42
Age at first birth (25–42) 0.03 0.18 0.04 0.20 0.05 0.21
Parity (1) 0.30 0.46 0.34 0.47 0.37 0.48
Parity (2) 0.25 0.43 0.27 0.44 0.29 0.46
Parity (3+) 0.45 0.50 0.39 0.49 0.34 0.47
Area of Residence
 Rural 0.70 0.46 0.64 0.48 0.68 0.47
 Urban 0.30 0.46 0.36 0.48 0.32 0.47
Division of Residence
 Barisal 0.11 0.31 0.12 0.33 0.11 0.32
 Chittagong 0.22 0.41 0.21 0.40 0.20 0.40
 Dhaka 0.22 0.41 0.22 0.41 0.16 0.37
 Khulna 0.13 0.34 0.12 0.32 0.12 0.32
 Rajshahi 0.19 0.39 0.17 0.37 0.25 0.43
 Sylhet 0.13 0.34 0.17 0.37 0.15 0.36
Wealth quintile
 Poorest 0.23 0.42 0.19 0.39 0.21 0.41
 Poorer 0.19 0.39 0.20 0.40 0.19 0.39
 Middle 0.19 0.39 0.18 0.39 0.19 0.39
 Richer 0.18 0.38 0.19 0.39 0.20 0.40
 Richest 0.22 0.41 0.23 0.42 0.20 0.40
Microcredit involvement
 No 0.71 0.45 0.66 0.48 0.68 0.47
 Yes 0.29 0.45 0.34 0.48 0.32 0.47
Mass media exposure
 No 0.31 0.46 0.37 0.48 0.35 0.48
 Irregular 0.10 0.31 0.07 0.26 0.14 0.35
 Regular 0.59 0.49 0.56 0.50 0.51 0.50
Health care decision making autonomy
 No autonomy 0.25 0.43 0.12 0.33 0.14 0.35
 Low 0.24 0.43 0.23 0.42 0.20 0.40
 Medium 0.28 0.45 0.33 0.47 0.30 0.46
 High 0.22 0.42 0.31 0.46 0.36 0.48
Employment
 No 0.84 0.36 0.78 0.41 0.92 0.28
 Yes 0.16 0.36 0.22 0.41 0.08 0.28
Own education (in years) 4.00 3.84 5.24 4.32 5.80 3.81
Husband’s education (in years) 4.38 4.49 5.06 4.85 5.50 4.62