Table 5. Determinants of planned contraceptive use by type: univariable (simple) regression model findings*.
Non-condom contraceptive use (ALL) | Pill | IUCD | Injectables | Sterilisation | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N | OR | 95%CI | p | N | OR | 95%CI | p | N | OR | 95%CI | P | N | OR | 95%CI | p | N | OR | 95%CI | p | |
Age | 90 | 1.01 | (0.97 to 1.04) | 0.77 | 15 | 0.90 | (0.81 to 1.00) | 0.77 | 2 | 1.03 | (0.84 to 1.25) | 0.79 | 21 | 0.93 | (0.86 to 1.02) | 0.11 | 26 | 1.12 | (1.06 to 1.18) | 0.001 |
Alcohol Use 1 | 78 | 1.09 | (0.64 to 1.87) | 0.75 | 13 | 3.41 | (1.09 to 10.7) | 0.04 | 2 | 2.03 | (0.13 to 32.7) | 0.62 | 21 | 1.26 | (0.51 to 3.14) | 0.62 | 23 | 0.88 | (0.35 to 2.19) | 0.78 |
Heavy Alcohol Use 1 , 2 | 78 | 0.75 | (0.27 to 2.06) | 0.58 | 13 | 2.21 | (0.46 to 10.6) | 0.32 | 2 | - | 21 | 1.25 | (0.27 to 5.67) | 0.77 | 23 | - | ||||
Opiate Use 1 | 81 | 0.61 | (0.35 to 1.07) | 0.084 | 14 | 0.38 | (0.08 to 1.77) | 0.22 | 2 | 1.57 | (0.11 to 28.2) | 0.69 | 21 | 0.94 | (0.36 to 2.41) | 0.89 | 25 | 0.41 | (0.15 to 1.13) | 0.08 |
Heavy Opiate Use 2 | 78 | 0.57 | (0.26 to 1.28) | 0.17 | 14 | 0.98 | (0.21 to 4.50) | 0.98 | 2 | 5.95 | (0.37 to 96.9) | 0.21 | 20 | 0.60 | (0.14 to 2.66) | 0.50 | 25 | 0.49 | (0.11 to 2.14) | 0.34 |
Crack cocaine use 1 | 82 | 0.98 | (0.43 to 2.27) | 0.97 | 14 | 0.79 | (0.10 to 6.3) | 0.83 | 2 | - | 21 | 0.92 | (0.20 to 4.12) | 0.91 | 25 | 1.28 | (0.36 to 4.5) | 0.71 | ||
Heavy Crack cocaine use 2 | 79 | 0.70 | (0.15 to 3.32) | 0.66 | 12 | - | 2 | - | 21 | 1.57 | (0.19 to 12.8) | 0.68 | 24 | - | ||||||
Cannabis use 1 | 82 | 1.08 | (0.50 to 2.31) | 0.85 | 14 | 1.29 | (0.28 to 5.96) | 0.75 | 2 | 7.8 | (0.48 to 127) | 0.15 | 21 | 0.79 | (0.18 to 3.54) | 0.76 | 25 | 1.04 | (0.30 to 3.66) | 0.95 |
Heavy Cannabis use 2 | 82 | 1.29 | (0.39 to 4.24) | 0.67 | 14 | - | 2 | 25.3 | (1.5 to 427.4) | 0.03 | 21 | 2.73 | (0.57 to 13.07) | 0.21 | 25 | - | ||||
Intravenous drug use 1 | 82 | 0.47 | (0.19 to 1.14) | 0.096 | 14 | 1.14 | (0.25 to 5.29) | 0.86 | 2 | - | 21 | - | 25 | 0.57 | (0.13 to 2.52) | 0.46 | ||||
Sex worker 3 , 4 | 40 | 0.47 | (0.13 to 1.66) | 0.24 | 8 | - | 2 | - | 5 | - | 17 | 0.39 | (0.05 to 3.06) | 0.37 | ||||||
Sex worker 1 , 4 | 40 | 0.78 | (0.35 to 1.75) | 0.55 | 8 | - | 2 | - | 5 | 0.59 | (0.06 to 5.41) | 0.64 | 16 | 0.78 | (0.24 to 2.54) | 0.68 | ||||
Sexual abuse 3 , 4 | 41 | 1.94 | (0.61 to 6.17) | 0.26 | 8 | 1.7 | (0.19 to 14.9) | 0.63 | 0 | - | 5 | - | 17 | 1.63 | (0.33 to 7.99) | 0.55 | ||||
Sexual abuse 1 , 4 | 41 | 2.24 | (1.08 to 4.63) | 0.030 | 8 | 2.43 | (0.59 to 10.1) | 0.22 | 0 | - | 5 | 0.57 | (0.06 to 5.24) | 0.62 | 17 | 1.72 | (0.62 to 4.79) | 0.30 | ||
Domestic violence 3 , 4 | 40 | 1.72 | (0.76 to 3.92) | 0.20 | 8 | 4.32 | (1.02 to 18.2) | 0.05 | 0 | - | 5 | - | 17 | 1.75 | (0.57 to 5.35) | 0.33 | ||||
Domestic violence 1 , 4 | 40 | 1.63 | (0.80 to 3.31) | 0.18 | 8 | 2.53 | (0.58 to 10.9) | 0.22 | 0 | - | 5 | 0.97 | (0.16 to 5.94) | 0.97 | 17 | 2.25 | (0.81 to 6.22) | 0.12 | ||
Physical Health 5 | 82 | 0.99 | (0.93 to 1.05) | 0.72 | 14 | 1.06 | (0.93 to 1.21) | 0.41 | 2 | 1.04 | (0.74 to 1.46) | 0.81 | 21 | 0.96 | (0.87 to 1.07) | 0.47 | 25 | 1.03 | (0.93 to 1.13) | 0.62 |
Psychiatric Health 5 | 82 | 0.97 | (0.92 to 1.03) | 0.32 | 14 | 0.99 | (0.88 to 1.12) | 0.91 | 2 | 1.02 | (0.74 to 1.40) | 0.92 | 21 | 0.98 | (0.89 to 1.08) | 0.69 | 25 | 0.97 | (0.88 to 1.06) | 0.48 |
Global Health 5 | 82 | 1.00 | (0.94 to 1.05) | 0.89 | 14 | 1.11 | (0.97 to 1.3) | 0.11 | 2 | 0.99 | (0.73 to 1.35) | 0.95 | 21 | 0.96 | (0.87 to 1.05) | 0.34 | 25 | 0.99 | (0.91 to 1.09) | 0.91 |
1 Ever
2 More than 1 day in 2
3 In the last year
4 Keyworker assessed (N = 176 patients)
5 Assessed using TOPS data
*Model constant not shown: Cocaine, Amphetamine and other drug use not reported because of small numbers of users
- Numbers too small to analyse