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Table 3 Odds ratios (95% CI) from a multivariate logistic regression analysis and a multinomial logistic regression analysis looking at the predictors of differences in fertility preferences within couples, rural Maharashtra India, N = 867 couples

From: Spousal discordance on reports of contraceptive communication, contraceptive use, and ideal family size in rural India: a cross-sectional study

 

Multivariate logistic regression

Multinomial multivariate logistic regression

Model 1

Model 2

Discordant vs concordant

Men+ discordant vs. concordant

Women+ discordant vs. concordant

Women’s empowerment

 Equality in fertility decision-making

1.01 (0.69, 1.48)

0.80 (0.49, 1.30)

1.38 (0.80, 2.38)

 Women’s Autonomy (0–3)

0.93 (0.81, 1.09)

0.98 (0.81, 1.19)

0.87 (0.71, 1.07)

 Wife’s Educ in years

0.95 (0.90, 1.01)

1.00 (0.93, 1.08)

0.90** (0.83, 0.98)

 Wife’s Contraceptive familiarity (0–10)

1.03 (0.94, 1.13)

0.97 (0.86, 1.10)

1.08 (0.96, 1.22)

Covariates

 Husband’s Contraceptive familiarity

0.93 (0.80, 1.07)

0.86 (0.71, 1.04)

1.02 (0.84, 1.24)

 Extended Family Yes

1.07 (0.71, 1.62)

0.92 (0.56, 1.53)

1.26 (0.67, 2.38)

 Arranged Marriage Yes

0.89 (0.56, 1.42)

0.73 (0.41, 1.29)

1.19 (0.60, 2.37)

 Number of Children

1.51*** (1.18, 1.94)

1.86*** (1.36, 2.54)

1.13 (0.79, 1.62)

 Wife’s Age in years

0.92* (0.83, 1.01)

0.91 (0.80, 1.04)

0.91 (0.80, 1.05)

 Husband’s Age in years

1.07 (0.97, 1.17)

1.07 (0.95, 1.20)

1.06 (0.94, 1.20)

 Husband’s Educ in years

0.98 (0.92, 1.04)

0.98 (0.91, 1.06)

0.97 (0.89, 1.06)

 House size # of rooms

1.00 (0.87, 1.14)

0.99 (0.82, 1.19)

1.00 (0.83, 1.20)

 Wife’s income activity

0.76 (0.48, 1.17)

0.72 (0.41, 1.27)

0.78 (0.41, 1.47)

 Food insecurity

1.86** (1.09, 3.15)

2.86*** (1.52, 5.39)

1.02 (0.46, 2.28)

 Caste: (ref: Scheduled caste)

  Scheduled Tribe

0.66 (0.33, 1.36)

0.48* (0.20, 1.15)

1.14 (0.38, 3.41)

  Other Backward Caste

0.77 (0.34, 1.77)

0.45 (0.15, 1.30)

1.54 (0.46, 5.18)

  Other

0.79 (0.32, 1.95)

0.49 (0.16, 1.51)

1.60 (0.41, 6.23)

  1. *p < 0.05; **p < 0.01, ***p < 0.001 all estimates are adjusted for all other variables in the model and include cluster level fixed effects not shown