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Multilevel logistic regression analysis results of preterm birth risk by quartile of county-level poverty, entire study population |
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| PTB (< 35 wk) |
PTB (< 32 wk) |
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| OR (95% CI) |
IOR-80 * |
MOR† |
OR (95% CI) |
IOR-80 * |
MOR† |
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| Model I: Poverty Only |
1.21 |
1.22 |
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| 2nd Quartile |
1.14 (0.94, 1.38) |
0.79, 1.63 |
1.15 (0.92, 1.43) |
0.79, 1.68 |
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| 3rd Quartile |
1.28(1.06, 1.55) |
0.89, 1.83 |
1.33 (1.07, 1.65) |
0.91, 1.94 |
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| 4th Quartile |
1.30(1.09, 1.56) |
0.91, 1.87 |
1.40 (1.14, 1.72) |
0.96, 2.05 |
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| Model II: Model I + Demographic factors |
1.10 |
1.07 |
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| 2nd Quartile |
1.09 (0.97, 1.22) |
0.91, 1.31 |
1.09 (0.97, 1.23) |
0.96, 1.24 |
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| 3rd Quartile |
1.18 (1.06, 1.32) |
0.99, 1.42 |
1.24 (1.10, 1.39) |
1.09, 1.41 |
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| 4th Quartile |
1.15 (1.04, 1.28) |
0.96, 1.39 |
1.25 (1.12, 1.41) |
1.10, 1.43 |
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| Model III: Model II + Prenatal Care |
1.11 |
1.09 |
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| 2nd Quartile |
1.09 (0.97, 1.22) |
0.90, 1.32 |
1.09 (0.96, 1.25) |
0.92, 1.30 |
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| 3rd Quartile |
1.19 (1.06, 1.33) |
0.98, 1.44 |
1.23 (1.08, 1.40) |
1.04, 1.46 |
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| 4th Quartile |
1.15 (1.03, 1.28) |
0.95, 1.39 |
1.23 (1.08, 1.39) |
1.03, 1.46 |
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| Model IV: Model III + Behaviors |
1.11 |
1.10 |
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| 2nd Quartile |
1.09 (0.97, 1.23) |
0.90, 1.33 |
1.10 (0.96, 1.25) |
0.92, 1.31 |
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| 3rd Quartile |
1.19 (1.06, 1.34) |
0.99, 1.45 |
1.24 (1.08, 1.41) |
1.04, 1.47 |
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| 4th Quartile |
1.16 (1.04, 1.30) |
0.96, 1.41 |
1.24 (1.09, 1.41) |
1.04, 1.48 |
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| Model V: Model III + Medical Risk Factors |
1.14 |
1.18 |
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| 2nd Quartile |
1.12 (0.97, 1.29) |
0.87, 1.44 |
1.13 (0.94, 1.37) |
0.83, 1.55 |
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| 3rd Quartile |
1.23 (1.07, 1.42) |
0.95, 1.59 |
1.28 (1.06, 1.55) |
0.94, 1.75 |
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| 4th Quartile |
1.18 (1.03, 1.35) |
0.91, 1.52 |
1.27 (1.06, 1.52) |
0.93, 1.73 |
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Refer to table 1 for a complete list of co-variates included in each model *IOR-80 = 80% interval odds ratio †MOR = median odds ratio | ||||||
DeFranco et al. BMC Public Health 2008 8:316 doi:10.1186/1471-2458-8-316 |
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