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Table 4 Association between alter characteristics and use of contraception using generalized linear model with Poisson regression and robust standard errors (alter-level analysis)

From: The association between men’s family planning networks and contraceptive use among their female partners: an egocentric network study in Madagascar

 

Dependent variable: Couple currently using modern contraception

 

RR

RR

RR

Alter characteristics

(1)

(2)

(3)

Female

1.04

  
 

(0.26)

  

Age (years)

0.99

  
 

(0.00)

  

Supportive of contraceptive use

 

1.12e+ 07***

 
  

(5.30e+ 06)

 

Type of relation

 Provider (nurse, mid-wife, doctor) (Reference group)

  

 Community health worker

  

1.31

   

(0.23)

 Health educator

  

0.83

   

(0.10)

 Friend

  

1.22

   

(0.25)

 Partner

  

1.33**

   

(0.14)

 Mother/aunt

  

1.02

   

(0.20)

 Sibling

  

1.55**

   

(0.24)

 Other

  

0.76

   

(0.32)

Age (years)

1.00

1.00

1.00

 

(0.01)

(0.01)

(0.01)

Household size

1.00

0.96

0.98

 

(0.03)

(0.02)

(0.03)

Currently married

1.11

1.21**

1.11

 

(0.08)

(0.08)

(0.15)

Completed primary school education

0.82*

0.85***

0.91

 

(0.08)

(0.03)

(0.14)

Monthly household earnings (USD)

1.00*

1.00

1.00

 

(0.00)

(0.00)

(0.00)

Sub-district 1 (reference group)

Sub-district 3

0.00***

0.00***

0.00***

 

(0.00)

(0.00)

(0.00)

Sub-district 4

0.96

0.94

1.02

 

(0.08)

(0.04)

(0.07)

Sub-district 5

0.94

1.05

0.86

 

(0.07)

(0.05)

(0.09)

Sub-district 6

0.71***

0.90

0.71***

 

(0.07)

(0.05)

(0.05)

Sub-district 7

0.86*

0.99

0.76**

 

(0.05)

(0.04)

(0.07)

Sub-district 8

0.54***

1.22***

0.60***

 

(0.06)

(0.05)

(0.04)

Sub-district 9

0.58***

0.73**

0.38***

 

(0.04)

(0.08)

(0.04)

Sub-district 10

0.71***

0.85**

0.65***

 

(0.04)

(0.04)

(0.05)

Observations

143

156

159

Mean of dependent variable

0.69

0.71

0.69

  1. Note: This analysis was restricted to men who had a FP network. Each column presents the findings of a separate regression model. Covariates included in each of these 4 regression models were age, household size, marital status, primary school completion, and household earnings. We also included sub-district fixed effects. Sub-district 2 is not included in this analysis due to missing data from the 5 respondents in that sub-district which had reported an alter but for whom specific alter characteristics are missing likely due to data collection error. We used cluster robust standard errors at the sub-district level. RR Relative risk ratio