Research Article
Does Birth Interval Matter in Under-Five Mortality? Evidence from Demographic and Health Surveys from Eight Countries in West Africa
Table 3
Multilevel regression analysis of the association between under-five mortality in West Africa and sociodemographic and behavioral characteristics.
| Variables | Model 0 | Model 1 cOR (95% CI) | Model 2 aOR (95% CI) | Model 3 aOR (95% CI) | Model 4 aOR (95% CI) | Model 5 aOR (95% CI) |
| Birth interval | | | | | | | ≤2 years | | Ref | | | | Ref | >2 years | | 0.56 (0.51-0.62) | | | | 0.55 (0.50-0.61) | Mother’s age | | | | | | | <20 years | | | Ref | | | Ref | 20-29 years | | | 0.73 (0.61-0.88) | | | 0.74 (0.60-0.90) | 30-49 years | | | 0.96 (0.78-1.18) | | | 0.88 (0.69-1.13) | Mother’s age at first birth | | | | | | | <20 years | | | Ref | | | Ref | 20-29 years | | | 0.86 (0.78-0.94) | | | 0.93 (0.84-1.02) | 30-49 years | | | 0.74 (0.54-1.01) | | | 0.78 (0.57-1.09) | Partner’s age | | | | | | | <30 years | | | Ref | | | Ref | 30-39 years | | | 0.88 (0.77-1.01) | | | 0.88 (0.76-1.02) | 40-49 years | | | 1.01 (0.86-1.18) | | | 0.99 (0.84-1.17) | 50+ years | | | 1.25 (1.05-1.48) | | | 1.23 (1.03-1.47) | Religion | | | | | | | Christian | | | Ref | | | Ref | Islam | | | 1.05 (0.95-1.17) | | | 1.09 (0.97-1.22) | Others | | | 0.92 (0.80-1.06) | | | 1.04 (0.86-1.25) | Educational level | | | | | | | No education | | | Ref | | | Ref | Primary | | | 0.97 (0.87-1.09) | | | 1.02 (0.90-1.15) | Secondary | | | 0.85 (0.75-0.96) | | | 0.88 (0.77-1.02) | Higher | | | 0.76 (0.57-1.00) | | | 0.81 (0.60-1.10) | Employment status | | | | | | | Unemployed | | | Ref | | | Ref | Employed | | | 1.39 (1.23-1.57) | | | 1.16 (1.02-1.33) | Partner’s employment status | | | | | | | Unemployed | | | Ref | | | Ref | Employed | | | 1.20 (0.86-1.66) | | | 1.28 (0.92-1.77) | Sexual autonomy | | | | | | | No | | | Ref | | | Ref | Yes | | | 1.05 (0.95-1.16) | | | 0.99 (0.89-1.11) | Exposure to mass media | | | | | | | Not exposed | | | Ref | | | Ref | Exposed | | | 0.95 (0.88-1.04) | | | 1.12 (1.02-1.23) | Current pregnancy intended | | | | | | | Then | | | Ref | | | Ref | Later | | | 0.81 (0.68-0.98) | | | 0.75 (0.62-0.90) | No more | | | 0.75 (0.66-0.84) | | | 0.70 (0.62-0.79) | Mother experience IPV | | | | | | | No | | | Ref | | | Ref | Yes | | | 1.10 (0.99-1.22) | | | 1.08 (0.97-1.21) | Contraceptive use | | | | | | | No | | | Ref | | | Ref | Yes | | | 0.69 (0.61-0.78) | | | 0.70 (0.62-0.79) | Sex of child | | | | | | | Male | | | | Ref | | Ref | Female | | | | 0.82 (0.76-0.89) | | 0.83 (0.76-0.90) | Size of child at birth | | | | | | | Very large | | | | Ref | | Ref | Larger than average | | | | 0.92 (0.79-1.06) | | 0.89 (0.77-1.04) | Average | | | | 1.03 (0.90-1.17) | | 0.96 (0.84-1.10) | Smaller than average | | | | 1.29 (1.09-1.52) | | 1.24 (1.05-1.47) | Very small | | | | 2.01 (1.65-2.44) | | 2.07 (1.70-2.53) | Birth order | | | | | | | First | | | | Ref | | | 2-3 | | | | 0.79 (0.69-0.90) | | 0.72 (0.62-0.84) | 4 or more | | | | 1.22 (1.09-1.38) | | 1.02 (0.86-1.23) | Type of birth | | | | | | | Virginal birth | | | | Ref | | Ref | Caesarean birth | | | | 1.81 (1.50-2.18) | | | ANC attendance | | | | | | | No | | | | Ref | | Ref | Yes | | | | 0.90 (0.83-0.98) | | 0.96 (0.87-1.05) | Place of delivery | | | | | | | Home | | | | Ref | | Ref | Health facility | | | | 0.77 (0.68-0.87) | | 0.97 (0.85-1.11) | Delivery assistance | | | | | | | TBA/others | | | | Ref | | Ref | SBA/health professionals | | | | 0.99 (0.87-1.12) | | 0.91 (0.79-1.03) | Place of residence | | | | | | | Urban | | | | | Ref | Ref | Rural | | | | | 1.04 (0.93-1.16) | 1.01 (0.90-1.14) | Wealth quintile | | | | | | | Poorest | | | | | Ref | Ref | Poorer | | | | | 0.97 (0.87-1.09) | 1.04 (0.92-1.17) | Middle | | | | | 0.86 (0.76-0.97) | 0.96 (0.85-1.09) | Richer | | | | | 0.83 (0.73-0.95) | 1.00 (0.87-1.16) | Richest | | | | | 0.53 (0.45-0.63) | 0.72 (0.59-0.87) | Country | | | | | | | Burkina Faso | | | | | Ref | Ref | Benin | | | | | 0.77 (0.66-0.89) | 0.81 (0.69-0.96) | Cote d’Ivorie | | | | | 1.03 (0.86-1.22) | 1.07 (0.89-1.29) | Gambia | | | | | 0.44 (0.36-0.55) | 0.39 (0.30-0.49) | Mali | | | | | 0.82 (0.70-0.55) | 0.77 (0.64-0.92) | Nigeria | | | | | 1.16 (1.03-1.30) | 1.14 (0.99-1.32) | Sierra Leone | | | | | 1.13 (0.97-1.31) | 1.30 (1.10-1.55) | Togo | | | | | 0.70 (0.58-0.85) | 0.78 (0.61-1.00) | Random effect result | | | | | | | PSU variance (95% CI) | 0.07 (0.04-0.13) | 0.07 (0.04-0.13) | 0.06 (0.03-0.12) | 0.06 (0.03-0.12) | 0.05 (0.02-1.00) | 0.04 (0.02-0.10) | ICC | 0.0211678 | 0.0207558 | 0.0180652 | 0.0185152 | 0.0139181 | 0.0132386 | LR test | 15.92 () | 15.37 () | 12.03 () | 12.46 () | 7.51 () | 6.74 () | Wald chi-square | | 131.30 | 233.56 | 282.90 | 209.09 | 721.41 | Model fitness | | | | | | | Log-likelihood | -10031.127 | -99714453 | -9909.8115 | -9893.1726 | -9915.005 | -9661.2923 | AIC | 20066.25 | 19948.89 | 19863.62 | 19812.35 | 19858.01 | 19414.58 | N | 52877 | 52877 | 52877 | 52877 | 52877 | 52877 |
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