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Table 3 Unadjusted and fully adjusted odds ratios of women’s circumcision across selected covariates (Senegal, DHS 2005 & 2010)

From: Trends in female genital mutilation/cutting in Senegal: what can we learn from successive household surveys in sub-Saharan African countries?

Variable Women 2005 Women 2010-11
Unadjusted OR & 95%CIa Fully adjusted POR & 95% CIb Unadjusted OR & 95%CIa Fully adjusted POR & 95% CIb
Age
 15–19 years 0.93(0.81, 1.07)   1.00(0.86,1.15)  
 20–24 years 1.00(0.86, 1.15) See Fig. 4 left 0.93(0.80,1.08)  
 25–29 years 1.00   1.00  
 30–34 years 1.08(0.92, 1.27)   0.94(0.80,1.10)  
 35–39 years 1.08(0.91, 1.27)   1.12(0.95, 1.33)  
 40–44 years 1.08(0.91, 1.29)   1.02(0.85, 1.23)  
 45–49 years 1.09(0.90, 1.32)   1.08(0.88, 1.33)  
Age Partner
 15–30 years 1.00 See Fig. 4 right 1.01(0.88,1.16)  
 31–49 years 0.80   1.00  
 50–60 years 0.82   0.98(0.86, 1.12)  
  > 61 years 1.10   1.28(1.06, 1.54)  
Place of residence
 Urban 1.00 1.00 1.00 1.00
 Rural 2.09(1.94, 2.25) 1.47(1.31, 1.65) 1.42(1.32, 1.53) 0.78(0.70, 0.87)
Married
 Yes 2.22(1.99, 2.47)   1.47(1.33, 1.63)  
 No 1.00   1.00  
Education
 No education 2.05(1.13, 3.70) 3.26(1.04, 10.1) 4.10(2.57, 6.53) 1.86(0.74, 4.65)
 Primary education 1.42(0.78, 2.57) 3.11(0.99, 9.73) 3.55(2.21, 5.68) 1.77(0.71, 4.45)
 Secondary educ. 0.93(0.51, 1.71) 2.41(0.76, 7.63) 2.87(1.79, 4.61) 1.62(0.64, 4.13)
 Higher education 1.00 1.00 1.00 1.00
Partner’s education
 No education 1.96(1.44, 2.68) 1.30(0.87, 1.93) 1.69(1.18, 2.43) 1.21(0.81, 1.80)
 Primary education 1.58(1.12, 2.22) 1.58(1.12, 2.22) 1.55(1.04, 2.30) 1.45(0.95, 2.21)
 Secondary educ. 1.33(0.94, 1.88) 1.33(0.94, 1.88) 1.48(0.98, 2.23) 1.43(0.92, 2.22)
 Higher education 1.00 1.00 1.00 1.00
Wealth Index
 Poorest 5.03(4.30, 5.88) 4.60(3.61, 5.86) 5.21(4.42, 6.14) 5.77(4.55, 7.33)
 Poorer 5.37(4.59, 6.29) 4.52(3.57, 5.72) 3.05(2.58, 3.60) 3.35(2.64, 4.27)
 Middle 3.42(2.92, 4.02) 2.44(1.94, 3.07) 2.22(1.87, 2.64) 2.16(1.70, 2.73)
 Richer 1.97(1.64, 2.37) 1.79(1.37, 2.33) 1.51(1.25, 1.83) 1.37(1.05, 1.79)
 Richest 1.00 1.00 1.00 1.00
Family size
 Small (1–4 children) 0.60(0.50, 0.73) 0.98(0.79, 1.23) 1.00 1.00
 Middle (5-7children) 0.66(0.53, 0.83) 0.90(0.70, 1.16) 1.22(1.08, 1.37) 1.16(1.00, 1.33)
 Large (8+ children) 1.00 1.00 1.46(1.19, 1.80) 1.11(0.88, 1.42)
Ethnicity
 Wolof 1.00 1.00 1.00 1.00
 Poular 1.79(1.67, 1.93) 23.9(20.1, 28.5) 129(98.6, 169) 19.9(16.9, 23.5)
 Serer 0.02(0.01, 0.03) 0.22(0.14, 0.36) 2.56(1.70, 3.85) 0.39(0.26, 0.60)
 Mandingu 2.96(2.36, 3.72) 67.3(45.4, 99.6) 478(326, 702) 89.4(55.5, 144)
 Diola 1.53(1.26, 1.87) 20.3(14.3, 28.6) 125(89.6, 174) 29.4(20.0, 43.3)
 Soninke 3.70(2.62, 5.21) 75.4(44.1, 129) 185(123, 280) 31.2(17.1, 56.6)
 Not Senegalese 2.49(1.69, 3.67) 33.9(20.6, 55.9) 168(107, 264) 24.8(15.4, 39.9)
 Other 0.64(0.54, 0.75) 11.2(8.41, 14.9) 50.1(36.8, 68.3) 9.22(6.88, 12.3)
Religion
 Muslim 3.54(2.70, 4.64) 3.02(2.11, 4.34) 4.10(2.92, 5.77) 2.52(1.61, 3.96)
 Other 1.00 1.00 1.00 1.00
Region of residence
 Dakar 0.22(0.19, 0.25)   0.26(0.23, 0.31)  
 Diourbel 1.00   1.00  
 Fatick 0.07(0.05, 0.08)   0.11(0.09, 0.13)  
 Kaffrine New state in 2010   0.12(0.10, 0.15)  
 Kaolack 0.14(0.12, 0.16) See Fig. 2 0.08(0.06, 0.10)  
 Kédougou New state in 2010   14.5(10.4, 20.4)  
 Kolda 16.5(13.2, 20.6)   7.10(6.02, 8.39)  
 Louga 0.05(0.04, 0.07)   0.05(0.04, 0.05)  
 Matam 18.2(14.0, 23.7)   8.65(7.12, 10.5)  
 Saint Louis 0.88(0.84, 0.93)   0.78(0.72, 0.85)  
 Sédhiou New state in 2010   8.29(6.90, 9.94)  
 Tambacounda 6.98(5.95, 8.19)   7.32(6.20, 8.63)  
 Thiès 0.08(0.07, 0.10)   0.04(0.03, 0.05)  
 Ziguinchor 2.32(2.08, 2.58)   1.59(1.40, 1.80)  
  1. aUnadjusted marginal odds ratio (OR) from standard logistic regression models.
  2. bAdjusted posterior odds ratio (POR) from Bayesian geo-additive regression models