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

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

	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

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