Research Article

Impact of Sociocultural Factors on Contraceptive Use: A Case Study of Pakistan

Table 4

Province-wise separate logistic regression model of women using contraception.

BalochistanSindhKPFATAPunjabGBIslamabadAJK
EstimateOREstimateOREstimateOREstimateOREstimateOREstimateOREstimateOREstimateOR

Intercept-14.130-13.558-1.974-9.885-1.350+-12.9180.054-12.357
220.8740.000189.3510.0000.7570.139298.2490.0000.7600.259266.2280.0000.7071.056171.8000.000
Age
25-340.0430.4190.1690.7180.22090.083-0.24842
0.1011.0430.1101.5200.1081.1840.1812.0500.1751.2470.1761.0870.299 0.1751.3480.1810.780
35-44-0.0400.3050.1720.6100.209-0.0260.285-0.742
0.1040.9610.1141.3570.1151.1880.1871.8410.1851.2330.1800.9740.1771.3290.2000.476
Above 44-0.810-0.264-0.2990.665-0.0883-0.793-0.691-1.711
0.1120.4450.1240.7680.1280.7410.2011.9440.2030.9150.1940.4520.1970.5010.2360.181
Region
Rural-0.184-0.211-0.191-0.404-0.213-0.0090.022-0.093
0.0740.8320.0660.8100.0570.8260.1060.6680.0510.8080.0880.9910.0871.0220.0660.911
Language
Baluchi-0.838-14.041
0.1040.433289.3040.000
English14.1800.529
441.37214400191.1601.697
Punjabi-14.1130.872-0.106-0.018-0.186-0.322
624.1940.5280.3452.3910.0950.8990.0480.9820.2270.0000.2410.666
Pushto0.0631.476+0.761+13.546-1.378
0.0990.0000.7794.3740.4012.140261.7237637360.4530.830
Sariaki-0.7920.487+0.215-0.776+-0.289
0.2931.0660.2681.6280.0561.2400.4300.4600.0700.749
Sindhi-0.261-0.333-11.774
0.1670.4530.0670.717132.5760.000
Other-0.639-14.955-0.226-14.251-0.407
0.1130.771141.6610.0000.0730.798239.4430.2520.0830.725
Education level
Primary0.6700.4200.2110.8150.2640.6520.1610.142
0.1271.9530.0731.5220.0821.2350.1672.2580.0591.3020.1311.9190.1121.1740.0891.153
Secondary0.9740.4780.7330.414+0.4300.3740.5620.266
0.1222.6480.0791.6140.0802.0820.2391.5130.0671.5380.1061.4540.1131.7540.0851.305
Higher1.3550.6840.9480.2550.7330.6110.4770.647
0.1723.8780.0921.9820.1072.5820.3471.290.0872.0800.1581.8420.1151.6110.1211.909
Number of children
Among 1 to 312.98213.8141.73711.6671.99412.9010.69112.781
220.874434698189.3519980480.7485.679298.2491166180.7537.347266.2284006640.6821.995171.8355577
Between 4 and 613.43914.6922.56812.9403.00013.7961.267+13.980
220.874686159189.35124031320.74813.038298.2494166850.75320.078266.228981030.6843.551171.8001178292
More than 713.44614.7862.65613.6663.08713.7990.82913.623
220.874691119189.35126388480.75014.237298.2498612040.75621.912266.2289833090.6932.291171.800824937
Respondent working
Yes-0.2620.057-0.258-0.1430.1660.0670.3860.167+
0.1130.7700.0581.0580.0940.7730.2750.8670.0511.1800.1551.0690.1001.4720.0931.182
Wealth index
Poor-0.337-0.265-0.638-0.665-0.359-0.434-0.034-0.622
0.0880.7140.0790.7670.0650.5280.1220.5140.0590.6980.1070.6480.1640.9670.0800.537
Rich-0.1190.151+-0.1110.191-0.034-0.284-0.0220.501
0.0990.8880.0771.1630.0680.8950.1661.2100.0590.9670.1400.7530.1060.9790.0811.651

Note: value <0.000, value <0.001, value <0.01, + value <0.05, standard errors of the estimates are in parenthesis, and odds ratio.