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Table 4 Multilevel binary logistic regression model of having children with Sickle Cell traits in Nigeria, 2018 DHS

From: Statistical exploration of factors associated with birth of children having sickle cell traits among reproductive-age women in Nigeria

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Model I: OR(95% CI)

Model II: OR(95% CI)

Mother’s age (years)

ÌýÌý

15–19

1.00

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20–24

1.11 (0.83–1.49)

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25–29

1.10 (0.83–1.46)

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30–34

1.03 (0.77–1.38)

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35–39

0.95 (0.71–1.28)

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40–44

1.07 (0.77–1.49)

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45–49

0.91 (0.61–1.37)

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Maternal highest educational level

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No education

1.00

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Primary

1.01 (0.86–1.19)

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Secondary

0.98 (0.86–1.12)

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Higher

0.94 (0.77–1.15)

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Wealth index

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Poorest

1.00

1.00

Poor

0.93 (0.79–1.11)

0.95 (0.80–1.13)

Middle

0.86 (0.72–1.02)

0.88 (0.73–1.05)

Rich

0.98 (0.83–1.16)

1.00 (0.83–1.21)

Richest

0.84 (0.70–1.01)

0.86 (0.70–1.05)

Sex of household head

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Male

1.00

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Female

0.91 (0.77–1.07)

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Marital status

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Single

1.00

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Monogamy

1.20 (0.95–1.53)

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Polygamy

1.17 (0.91–1.50)

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Religion

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Christianity

1.00

1.00

Islam

1.12 (1.01–1.25) *

1.11 (0.94–1.31)

Traditional/Others

1.75 (1.03–2.96) *

1.77 (1.04–3.02)

Father alive

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No

1.00

1.00

Yes

1.51 (0.98–2.33)

1.52 (0.99–2.35)

Parity

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1–2

1.00

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3–4

1.11 (0.97–1.27)

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5+

1.08 (0.95–1.23)

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Child mortality

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None

1.00

1.00

One

0.99 (0.85–1.15)

0.97 (0.84–1.13)

Multiple

1.16 (0.98–1.36)

1.12 (0.94–1.33)

Domicile

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Urban

1.00

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Rural

0.98 (0.87–1.09)

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Region

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North Central

1.00

1.00

North East

1.07 (0.88–1.29)

1.00 (0.82–1.23)

North West

1.18 (0.99–1.41)

1.09 (0.89–1.32)

South East

1.04 (0.85–1.28)

1.12 (0.89–1.40)

South-South

1.05 (0.84–1.30)

1.10 (0.87–1.38)

South West

1.11 (0.91–1.35)

1.15 (0.94–1.41)